Sebatik

A Mobile-Based Digital Solution (Mozak) for Mosque Management in the Modern Era.

R Dimas Adityo — 2025-12-26

The mobile-based zakat management application serves as a modern solution to enhance the transparency and efficiency of zakat management at the local level. Mozak (Mobile Zakat) is an Android-based application implemented at Masjid Al-Ikhlas, Desa Janti, Sidoarjo, aimed at facilitating the collection, distribution, and monitoring of zakat. The application is designed with a user-friendly interface, allowing muzakki to pay zakat online and helping mosque administrators manage zakat data in real-time. This study evaluates the effectiveness of the Mozak application in supporting zakat activities at Masjid Al-Ikhlas, showing an improvement in operational efficiency. Additionally, the application enhances transparency in the distribution of zakat to mustahik

Analysis of Irrigation Water Quality in Batang Lampasi

Nola Rahma Yuni — 2025-12-26

Irrigation water quality plays a key role in determining soil conditions and crop productivity. This study assessed the irrigation water quality of the Batang Lampasi Irrigation Area by analyzing a composite sample and comparing the results with FAO quality standards. Laboratory analyses included physical parameters—electrical conductivity (EC), turbidity, temperature, and odor—and chemical parameters such as pH, salinity, total Fe, total Ca, total Mg, and Sodium Adsorption Ratio (SAR). The results indicated that all measured parameters, including EC (132 µS/cm), turbidity (6.78 FTU), pH (6.44), salinity (34.32 ppm), Fe (0.904 mg/L), Ca (1.891 mg/L), Mg (1.795 mg/L), and SAR (0.467 meq/L), fall within acceptable limits set by FAO. These findings confirm that Batang Lampasi irrigation water is suitable for agricultural applications and underline the need for consistent monitoring and the development of national irrigation water quality standards.

Analysis of Road Damage Handling Priority Based on Pavement Condition (Case Study: National III Road, Kabat – Banyuwangi Segment)

Wahyu Satyaning Budhi — 2025-12-26

Banyuwangi Regency is a leading tourism area designated as a National Tourism Strategic Area (KSPN), making the availability of adequate road infrastructure essential to support regional mobility and accessibility. However, traffic accidents have increased in recent years, particularly on the Jalan Nasional III segment from Kabat to Banyuwangi. This rise in accidents may indicate a correlation with the condition and performance of the road infrastructure. Therefore, a comprehensive evaluation of this segment is required, focusing on three main aspects, there are riding quality, pavement damage level, and drainage conditions as the basis for determining maintenance priorities. The study was conducted through field surveys, including measurements of Riding Quality, calculation of Total Distress Point (TDP), and assessment of drainage system performance in both directions. The analysis shows that the Kabat–Banyuwangi direction has several segments with low ride comfort (Poor), TDP values indicating light to medium maintenance needs, and some drainage points requiring maintenance. In contrast, the Banyuwangi–Kabat direction shows better and more stable conditions in terms of ride comfort, pavement damage, and drainage performance. These findings suggest that maintenance priorities should focus on the Kabat–Banyuwangi segments experiencing the most significant performance decline. This integrated evaluation approach is expected to provide a comprehensive basis for supporting more effective, efficient, and sustainable road maintenance decision-making.

Analysis of Teaching Material Needs for Short Story Writing with the Utilisation of Artificial Intelligence (AI) for High School Students

Muhamad Fajar Rizkia — 2025-12-26

This research aims to develop short story writing teaching materials based on Artificial Intelligence (AI). Literacy skills are developed in various learning activities, one of which is writing, which can be linked to fictional stories in the form of short stories. This writing activity is related to the use of language in daily life, and the topics raised can be related to everyday experiences. Writing short stories requires a process of developing students' creativity. This process contains the concept that short story writing skills are not acquired instantly, but rather thru a step-by-step process with intensive and continuous practice, and requires students' active participation in the writing process. Writing short stories is not easy and can encounter obstacles such as developing ideas, describing the core of the story, setting, characters, plot development, and building dialog that fits the story and the characters being portrayed. One solution that can be implemented is providing teaching materials with the assistance of Artificial Intelligence (AI). The presence of AI-assisted teaching materials in writing short stories can help someone develop the ideas they want to turn into a short story, the general outline of the story, characters, setting, events, and dialog. This can help someone develop short stories with more varied, creative narratives tailored to each individual's experiences. Thru this AI-based learning material, one can utilize it and elaborate it into a form of self-understanding description that will later be developed or can become points in a specific schema format. The short story writing teaching materials created based on this needs analysis will later be developed, validated, and field-tested on a limited scale.

Analysis of the Utilization of the Samagov Application Using the System Usability Scale (SUS) Method at the Samarinda City Department of Communication and Information

Jekri Hidayat — 2025-12-26

The Government of Samarinda City has undertaken digital transformation efforts and launched the Samagov application as part of the Samarinda Smart City initiative, where the success of its implementation largely depends on users’ perceptions of its Usability. If the application is difficult to operate, public engagement will be hindered, resulting in suboptimal utilization. Therefore, measuring Usability is essential to understand whether Samagov meets users’ expectations and needs. This study employs a quantitative approach using surveys and the System Usability Scale (SUS) questionnaire to evaluate the Usability level of the Samagov application. The SUS method, developed by John Brooke in 1986, consists of a ten-item questionnaire designed to assess users’ perceptions of system ease of use. Data were collected by distributing an online questionnaire via Google Form to 40 respondents, consisting of internal staff of Diskominfo and external users who had accessed Samagov services. The calculation process involved subtracting 1 from odd-numbered items, subtracting 5 from even-numbered items, summing all scores, and then multiplying the total by 2.5. The average SUS score obtained from 40 respondents for the Samagov application was 62.56. Based on SUS interpretation scales, a score of 51.7–62.6 falls into grade D with the adjective rating “OK” at the 15–59th percentile. An “OK” score indicates that the application has relatively low Usability and requires improvements in user comfort and ease of use. The interpretation also suggests that while the application is fairly good, it has not yet reached the expected Usability standards for Samagov users. This study concludes that the Usability of the Samagov application, as measured by the SUS method, is rated as “Good” but highlights the need for further improvements in user comfort and ease of use. The SUS method has proven effective in assessing application Usability, providing valuable feedback for developers to enhance Samagov’s functionality and ensure it meets user need.

Analysis of Web-Based Library Information System Design for State Senior High School 13 Samarinda

Sylvania Ayu Widiarti — 2025-12-26

The school library has an important role in supporting the teaching and learning process in schools, one of which is the library at SMA Negeri 13 Samarinda. The library has a collection of books totaling hundreds of titles. The book collection is grouped into several categories such as general subject books, religious books, newspapers, comics, fairy tales, and story books, and many other books. With many different types of book groups, the library at SMA Negeri 13 Samarinda still uses a conventional system where the library admin uses archives or notebooks placed in cupboards such as book borrowing and book return archives, this often makes books that will be borrowed by students difficult to find. The goal is to be able to improve library services at SMA Negeri 13 Samarinda. The conclusion is that the Library Application at SMA Negeri 13 Samarinda was successfully created using Visual Basic 6.0. With this system, it will facilitate the presentation of reports related to the processing of library book data at SMA Negeri 13 Samarinda.

Deep Learning Architecture of VGG16 and VGG19 for Eyeglasses Face Classification

Muhammad Faiz Abrar Fatah — 2025-12-26

This study aims to conduct a comparative analysis of the performance of two popular Convolutional Neural Network (CNN) architectures, namely Visual Geometry Group (VGG16 and VGG19), in classifying facial images with glasses using the “Glasses or No Glasses” dataset. Both models were developed through a transfer learning approach by utilizing pre-trained ImageNet weights to accelerate convergence and improve classification accuracy. The training process employed the Adam optimizer with binary crossentropy as the loss function. The dataset was divided into two subsets 80% for training and 20% for validation while testing was performed on 50 unseen images excluded from both subsets. Experimental results show that the VGG16 architecture achieved 87.86% training accuracy and 89.11% validation accuracy, whereas VGG19 achieved 86.86% training accuracy and 87.89% validation accuracy. On the testing dataset, VGG16 correctly classified 47 out of 50 images (94%), while VGG19 correctly classified 48 images (96%). Although the performance gap is relatively small, VGG19 demonstrated better computational efficiency with a shorter training duration (2 hours and 41 minutes) compared to VGG16 (2 hours and 59 minutes). Furthermore, the trained models were successfully implemented in an Android application using TensorFlow Lite, enabling real-time eyeglasses detection. These findings indicate that the VGG19 architecture offers superior efficiency and accuracy for deep learning–based eyeglass face classification tasks.

Design and Construction of Teacher and Student Attendance Using Website-Based Radio Frequency Indentification: Case Study of SDN 011 Tenggarong Seberang

Muhammad Rezha Nur Hakiki — 2025-12-26

This study aims to design and develop a teacher and student attendance system using Radio Frequency Indentification (RFID) technology integrated with a web-based platform as a solution to challenges encountered in manual attendance recording at SDN 011 Tenggarong Seberang. Conventional methods often result in delayed recapitulation, data entry errors, and difficulties in presenting attendance information quickly and accurately. By utilizing RFID technology, the attendance process is automated when the card is detected by the system, allowing data to be stored directly in the database without manual input. Integration with a web-based application enables real-time access to attendance data, presentation in structured reports, and analysis according to school administrative needs. The system development involved stages of requirements analysis, system architecture design, RFID device implementation, web interface creation, and functional testing to ensure accuracy and speed of data recording. The results indicate that the digital attendance system significantly improves administrative efficiency, reduces recording errors, and supports the monitoring of teacher and student discipline. Additionally, the web-based system provides flexibility for operators to manage and review attendance records. Therefore, the implementation of an RFID-based web attendance system is proven effective in supporting the modernization of administrative management in elementary schools.

Design and Initial Testing of Augmented Reality Learning Media for Manufacturing Engineering Drawing Materials

Tri Hannanto Saputra — 2025-12-26

The rapid development of the manufacturing industry requires vocational graduates to possess high competence in technical drawing literacy according to the International Organization for Standardization (ISO). However, students often face cognitive barriers in visualizing 2D technical drawing representations into 3D forms, particularly in orthogonal projection and section view materials. This study aims to design and conduct initial testing of an Augmented Reality (AR)-based learning medium developed using the Rapid Application Development (RAD) method. The application is built on the Android platform using Unity 3D marker-based tracking method. This research produced a prototype application capable of projecting 3D models of machine components in real-time on top of printed technical drawing modules. Initial testing was conducted using the Black Box Testing method to validate system functionality. Test results indicate that key features such as marker detection, interactive object rotation, and visualization of hidden lines ran successfully under various lighting conditions. This application offers a potential solution to reduce students' cognitive load in understanding abstract spatial concepts.

Development of a Real-Time IoT-Based Monitoring System for 3-Phase Industrial Machines

Yohanes Sugiarto — 2025-12-26

This study addresses the urgent need for timely and accurate information regarding manufacturing resources by developing a cost-effective, real-time Internet of Things (IoT)-based monitoring system for 3-phase industrial machines, such as milling, turning, and grinding equipment. The primary objective is to enhance operational efficiency, minimize downtime, and support manufacturing digitalization. The methodology employed a mixed-methods approach and utilizes a hybrid microcontroller architecture, featuring low-cost SCT-013 current sensors and ZMPT-101B voltage sensors for data capture. An Arduino Mega performs high-speed data acquisition and complex measurement calculations, while an ESP32 module handles dedicated wireless communication and transmission. The system monitors crucial electrical parameters, including phase voltage, current, active and reactive power, and energy cost, while explicitly classifying the machine state (ON/OFF/STANDBY). A MySQL database ensures reliable data storage, and a Nextion display and web interface provide real-time visualization and user control. Rigorous quantitative testing validated the implementation: the fidelity of data transfer to the database was confirmed to be 100%. Sensor readings were successfully validated against a reference AC Clamp Meter. The system efficiently supports early anomaly detection using residual analysis. However, the end-to-end system latency was measured between 5 and 6 seconds consistently. This prototype delivers an effective and reliable solution for industrial online monitoring, providing a robust, data-driven foundation for future predictive maintenance and energy efficiency strategies

Development of an Augmented Reality-Based Educational Media for East Kalimantan Endemic Plants

Bagus Satria — 2025-12-26

East Kalimantan is a region with a high level of biodiversity, including endemic plant species such as Eusideroxylon zwageri (Ulin), Coelogyne pandurata (Black Orchid), and Nepenthes spp. (Pitcher Plant). Unfortunately, public awareness especially among young generations of the importance of conserving these local flora remains low due to the lack of engaging and contextual learning media. This study aims to develop an Augmented Reality (AR)-based educational media that visualizes interactive 3D models and descriptive information about East Kalimantan endemic plants. The research applies an interactive multimedia-based Research and Development (R&D) approach through stages of observation, documentation, 3D modeling, application development using Unity and Vuforia SDK, and testing involving students from local schools. Evaluation was conducted using pre-test and post-test designs, along with expert validation on content and usability. The results show that the developed AR application effectively enhances students’ understanding of local biodiversity and environmental awareness. This media also provides an innovative solution for digital conservation education that integrates technology with local ecological content.

Development of PjBL-STEM Integrated Student Worksheets (LKPD) in Differentiated Learning to Improve Student’s Scientific Literacy Skills

Karlina Rahmah — 2025-12-26

This study aims to develop a Student Worksheet (LKPD) integrated with Project-Based Learning (PjBL) and STEM within differentiated instruction to improve students' scientific literacy skills in a valid, practical, and effective manner. This research is a development study using the ADDIE model, which consists of five stages: Analyze, Define, Design, Implementation, and Evaluation. The results of data analysis show that the developed LKPD is valid for stimulating students' scientific literacy skills on the topic of renewable energy, with an overall validity percentage of 91.93%. This validity includes 92.80% for content, 92.70% for construct, and 90.27% for language aspects. The practicality of the LKPD reached 91.56%, categorized as very practical. The practicality assessment consisted of 90.90% for implementation, 90.62% for readability, and 93.18% for attractiveness. In terms of effectiveness, the LKPD obtained an N-Gain score of 0.5, which falls into the moderate category. The average pretest score was 39.72, which increased to 74.72 on the posttest. Based on the analysis results, it can be concluded that the LKPD integrated with PjBL-STEM and differentiated instruction is valid in terms of content, language, and construct. The practicality of the LKPD is categorized as very practical in terms of implementation, attractiveness, and readability, making it suitable for use in senior high school physics learning (Phase E) under the Merdeka Curriculum with the topic of Renewable Energy. The effectiveness of the LKPD is categorized as moderate, indicating that it can stimulate students’ scientific literacy skills on the topic of renewable energy.

Development of Technology-Information-Based Businesses for Borokah Herbal Drink and UD Mela Jaya Fish Crackers in Nogosari Village, Pacet District, Mojokerto Regency

R Dimas Adityo — 2025-12-26

This community service project focuses on empowering two micro, small, and medium enterprises (MSMEs) in Nogosari Village, Pacet District, Mojokerto Regency: Jamu Herbal Barokah and UD Mela Jaya, a traditional fish cracker producer. Both enterprises face significant challenges in management and marketing, primarily due to limited financial literacy, lack of business administration systems, and minimal utilization of digital technology. The project aims to enhance their competitiveness and sustainability through the implementation of information technology-based solutions. These include the development of simple digital applications for financial recording and production management, as well as the adoption of digital marketing strategies using social media, marketplaces, and websites. Training and mentoring sessions are conducted to improve partners’ capacity in business management, financial documentation, and digital branding. The program aligns with Indonesia’s Asta Cita agenda and the Sustainable Development Goals (SDGs), particularly Goal 8—Decent Work and Economic Growth. Through the integration of information technology, the project promotes inclusive local economic growth, increases employment opportunities, and strengthens the independence of local entrepreneurs. Expected outcomes include improved business governance, wider market reach, and enhanced digital literacy among MSME actors, serving as a model for sustainable rural economic development based on local potential.

Development of the Mr. Klin Laundry Website Using the Waterfall Method for Service Optimization

Kevin Yonatan — 2025-12-26

This study aims to develop the Mr Klin Laundry website as a digital solution to improve the effectiveness and quality of services provided to customers. The main problem faced by this business unit is the limitation of ordering processes and service information, which are still carried out manually, thereby hindering service speed, data accuracy, and customer satisfaction. The Waterfall method is used in system development because it consists of structured stages, including requirements analysis, design, implementation, testing, and maintenance. The results of the study show that the developed website is capable of providing online service ordering features, laundry status tracking, pricing information, and customer communication. System testing using black box testing indicates that all functions operate in accordance with the specified requirements. With the presence of this website, service processes become faster, more transparent, and more easily accessible to customers, thereby supporting service optimization and enhancing the competitiveness of Mr Klin Laundry.

Dynamical System Modeling of Dynastic Cycle with Optimal Control

Dhimas Mahardika — 2025-12-26

In ancient China there are three model of society which is farmers, bandits and ruler. When the authority (rulers) is not there, the dynamics system of farmers and bandits become predator-prey interactions system. In here rulers play role on taxing the farmers and catching the bandits and then punish them. Thus, farmers are a sort of renewable resource which is exploited both by bandits and by rulers. In this paper, optimal control is applied to reduce the bandit’s population, by reducing it, the ruler population can also be reduced because the existing bandits can be conquered, so that the cost of running a government is more efficient because it can reduce the need for eradicating bandits from ruler. The type of the optimal control here is fixed time and free end point.

Enhancing Agile Big Data Project Success using Project Management Body of Knowledge (PMBOK) Performance Domain

Shania Astagina — 2025-12-26

Big data projects, especially within the fields of data science, data analytics, and data engineering, are growing rapidly. This growth can be seen by machine learning technologies and the emerging trend of generative AI that utilize large datasets as input. This rise is evidenced by trend reports from leading IT companies, which indicate significant growth in the use of big data. The prevailing trend in big data projects is inconsistent with their actual execution. A considerable proportion of big data initiatives fail to reach the production phase due to inherent challenges, as these projects often display agile characteristics owing to their rapid pace and fluctuating requirements, in accordance with industry trends and needs. This highlights the need to assess the issues faced in agile big data projects. A thorough literature review was performed to identify issues, thus leading to the formulation of suggestions grounded in the PMBOK 7th edition as the standard and guideline for project management. The SLR phase effectively identifies four main categories of challenges: human resources, project management, data and information management, and organizational issues. The subsequent recommendation tackles these challenges. This study utilizes seven of the eight performance domains outlined in the PMBOK 7th edition to address the identified difficulties.

Enhancing Patient Safety Competence Through Virtual Simulation Training and Artificial Intelligence (ViSTA): A Quasi-Experimental Study in Samarinda

Irfan Irfan — 2025-12-26

Patient safety is a key indicator of healthcare quality, yet it remains a critical challenge in Indonesia, including in Samarinda. The high incidence of patient safety events highlights the urgent need for innovative interventions to enhance healthcare workers’ competence. Virtual Simulation Training and Artificial Intelligence (ViSTA) is considered a potential solution to address this issue. This study aimed to evaluate the effectiveness of ViSTA in improving healthcare workers’ competence in managing patient safety incidents. A quasi-experimental design with a pre–post test and control group was employed, involving 40 healthcare workers in Samarinda. Respondents were divided into an intervention group (n=20), who participated in ViSTA training, and a control group (n=20), who received no intervention. Competence was measured before and after the intervention. Data analysis was performed using paired t-tests and independent t-tests. The intervention group demonstrated a significant improvement in competence scores after training (p<0.001), whereas the control group showed no meaningful change. Posttest comparisons between groups also revealed a significant difference (p<0.001), underscoring the effectiveness of ViSTA in enhancing healthcare workers’ skills in managing patient safety incidents. ViSTA proved to be effective in improving competence through interactive, realistic, and data-driven learning experiences. These findings support the integration of simulation technology and artificial intelligence as a sustainable training strategy, particularly in regions with limited access to face-to-face training. ViSTA holds strong potential to serve as a national training model for strengthening patient safety systems in Indonesia

Enhancing Salted Fish Product Value to Empower Producer Groups in Kertajaya Village, a Coastal Community of Sumur, Pandeglang, Banten Province

Ronald Maraden Parlindungan Silalahi — 2025-12-26

The community service program implemented in Kertajaya Village, Sumur Subdistrict, Pandeglang Regency, Banten Province, aims to enhance the market value and competitiveness of salted fish products, which constitute one of the primary economic commodities of this coastal community. The majority of residents depend on fisheries and seafood processing for their livelihoods; however, production activities still rely heavily on traditional sun drying techniques that are vulnerable to weather variability. This condition leads to inconsistent product quality, unstable production capacity, and limited access to broader markets. To address these challenges, the program introduces a series of structured capacity building activities targeted at youth organizations (karang taruna) and local salted fish processors. The training focuses on processing innovations, improved hygiene practices, modern packaging design, branding strategies, microenterprise management, and the utilization of digital marketing platforms. A participatory and inclusive approach is adopted to ensure that community members are actively involved in planning, implementing, and sustaining the activities, thereby shifting their role from passive beneficiaries to empowered local entrepreneurs. The initiative is expected to stimulate the growth of creative and competitive coastal business actors, increase household income, and strengthen the village’s identity as a center for value added salted fish production. Furthermore, the program provides a replicable model for community empowerment rooted in local potential, economic resilience, and environmental sustainability in coastal regions.

Evaluation of the Effectiveness of Audit Management System (AMS) Using COBIT 2019 and ISO 31000:2018 in the Internal Audit Function

Indra Setya Miharja — 2025-12-26

The Audit Management System (AMS) is utilized by the Internal Audit Function to manage audit processes in a structured, documented, efficient, and risk-aligned manner, aiming to provide added value to the organization. This system is supported by the Pentana Audit software, implemented across 22 entities, functioning as a secure platform that records the entire audit process in real-time. This study aims to identify gaps, analyze areas for improvement, assess potential financial and operational impacts, and provide recommendations and mitigation steps related to AMS management. The evaluation applies the COBIT 2019 and ISO 31000:2018 Risk Management frameworks, focusing on five Governance and Management Objectives from COBIT 2019: EDM03, APO12, APO14, DSS03, and MEA04. The novelty of this research lies in the dual-framework approach that systematically integrates COBIT and ISO standards to produce a strategic, risk aligned improvement roadmap. The specific focus on AMS within the Internal Audit context also contributes to strengthening governance and audit risk management. The findings indicate that AMS management has not yet reached full effectiveness, with 13 identified areas of improvement that may cause financial and operational impacts. Key issues include the lack of integration between the audit risk database and ERM, absence of automated notifications, no monitoring dashboard, inadequate data security policies, and suboptimal real-time utilization across entities. APO12 recorded the largest gap, primarily related to IT based audit risk management integration. Recommendations are categorized into three mitigation priorities using an action priority matrix: quick wins, important tasks, and other tasks, with phased implementation over three years.

Evaluation of User Acceptance and Experience of the Coretax System Among Corporate Taxpayers in Indonesia

Khairunnisa Rahmah — 2025-12-26

The rapid digital transformation in public administration has encouraged the Direktorat Jenderal Pajak (DJP) of Indonesia to implement the Coretax system as part of its modernization agenda for tax administration. This study aims to evaluate the level of user acceptance and experience of the Coretax system among corporate taxpayers in Indonesia using the Technology Acceptance Model (TAM) approach. The research focuses on examining the relationships between perceived ease of use (PEOU), perceived usefulness (PU), behavioral intention (BI), and use behavior (UB), with an additional variable (usage barriers) to explore external factors that may hinder technology adoption. The study employed a quantitative method involving a survey of 136 corporate taxpayers who actively use Coretax. Data were analyzed using descriptive statistics, regression analysis, and mediation testing through the PLS-SEM approach. The results indicate that all primary hypotheses (H1–H5b) are significantly supported (p < 0.05). PU emerged as the most dominant factor influencing BI and UB, while PEOU plays a significant role in shaping PU and BI. Behavioral intention acts as a full mediator between users’ perceptions and actual usage behavior. Moreover, perceived usage barriers negatively affect both PEOU and BI. These findings validate TAM within the Indonesian digital taxation context and highlight that successful Coretax implementation depends not only on system usability and benefits but also on continuous technical support and user training to ensure a positive digital experience.

Evolution of the Intellectual Property Information System at the Kalimantan Institute of Technology Using the Waterfall Method and Design Thinking

Nur Ali Rajab — 2025-12-26

Intellectual Property (IP) Management at the Kalimantan Institute of Technology (ITK) was previously hindered by manual processes using Google Forms and Excel that were inefficient and prone to errors, and by limited information systems. This research aims to evolve the ITK Intellectual Property Information System (SIM KI) to enhance data management efficiency at the backend and improve functionality and user experience at the frontend. The development methodology uses a structured Waterfall approach. The backend is developed with Node.js (Express) and PostgreSQL, while the frontend uses React JS with interface design based on Design Thinking. System verification is conducted comprehensively through Black Box Testing, White Box Testing, User Acceptance Testing (UAT), and the System Usability Scale (SUS). The evolution results show successful system implementation that now supports four types of IP (Copyright, Patent, Trademark, Industrial Design). Backend testing through unit testing validates the reliability of internal logic, while frontend testing demonstrates functional success (Black Box), good usability (SUS score 77.89), and significant user acceptance improvement (UAT score increased from 68% to 76%). The evolution of SIM KI successfully resulted in a more efficient, functional, and well-received digital platform, which implies increased effectiveness of IP management in the academic environment of ITK.

Exposure to Cyberbullying Victimization and Its Implications for Adolescent Health in the Digital Era

Zulkifli Umar — 2025-12-26

Cyberbullying victimization is a form of technology-based harassment that has been increasing in line with the rising use of social media among adolescents. This phenomenon has implications for both physical and mental health and has the potential to encourage risky behaviors. This study aims to analyze the relationship between social media use, exposure to cyberbullying victimization, and its implications for adolescent health risk behaviors in Samarinda City. The research employed a cross-sectional design involving 393 high school students aged 16–18 years, selected through purposive sampling. Data were collected using a structured questionnaire covering social media use, experiences of harassment, bullying, intimidation, and health risk behaviors. The analysis was conducted using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) approach. The findings revealed that 45% of adolescents had experienced cyberbullying, with verbal harassment, intimidation, and the spread of harmful content as the dominant forms. Furthermore, 35.2% of respondents were identified as engaging in risky behaviors, particularly social media addiction, substance abuse, and risky sexual behavior. The PLS-SEM model demonstrated that social media use was positively associated with harassment, bullying, intimidation, and cyberbullying victimization (p < 0.05). In addition, cyberbullying victimization, harassment, and intimidation significantly contributed to adolescent health risk behaviors, with an R² value of 0.62. Exposure to cyberbullying victimization was proven to have a significant impact on adolescent health risk behaviors. Promotive and preventive interventions involving families, schools, and health services are needed to strengthen adolescent resilience and to create a safe digital ecosystem in the technological era.

Formulation and Process Optimization of Blondo Separator, Oil,Water and Filtration in Virgin Coconut Oil (VCO) Processing

Supriono Supriono — 2025-12-26

Virgin Coconut Oil (VCO) is a type of pure coconut oil produced without high-temperature heating or the use of chemicals. One crucial stage in VCO production is the separation and filtration of oil, water, and sediment. This research aims to design and evaluate an efficient separator and filter device for small to medium-scale VCO production. The machine applies gravitational and simple centrifugal forces, equipped with a multistage filter system using nylon cloth and filter paper. The results showed that the device achieved 92–95% separation efficiency within 25 minutes per 5 liters of raw material, with a final moisture content of 0.08%. This design can enhance productivity and maintain oil quality, making it suitable for household and small-scale industries.

Halodoc Adoption Model: Integration of UTAUT2, Perceived Risk, and Trust with PLS-SEM

Dian Putrawangsa — 2025-12-26

The development of digital health technology, also known as healthtech, has transformed the opportunities and ways people access healthcare, particularly through telemedicine. In Indonesia, Halodoc has become one of the most widely used telemedicine platforms, offering easy access and affordable online healthcare services. Despite its various conveniences, user adoption remains inconsistent due to persistent issues and public perceptions regarding perceived risk and lack of trust in online consultation methods. This study aims to develop a model for Halodoc adoption by developing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with perceived risk and trust in medical personnel. Using a quantitative approach, data responses were collected from online Halodoc users through purposive sampling and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) techniques with the help of SmartPLS. The results show that only facilitating conditions, habit, and price value have a significant influence on behavioral intention to adopt Halodoc. Extensive factors suspected of influencing Halodoc adoption, namely perceived risk and trust in medical personnel, did not have a significant influence, especially in the Indonesian context. The results of this study add to the role and benefits of UTAUT2 in the healthcare context, especially in Indonesia, with managerial implications for enhancing the role of facilitating conditions, habits, and price value in order to increase the adoption of Halodoc and other digital healthcare in Indonesia.

Identification of Coral Reef Health Conditions to Support Sustainable Coastal Management in Sopura Bay

Cahyo Wijayanto — 2025-12-26

Coral reefs play a vital role in maintaining marine ecosystem balance and supporting biodiversity. This study aims to identify the coral reef health condition in Sopura Bay and formulate sustainable coastal management strategies. The methods used include the Coral Health Chart (CoralWatch) to assess coral physiological conditions and SWOT analysis to develop management strategies. The results show that the dominant coral type is massive (Boulder) coral with an average color score of 2–3, indicating moderate to severe bleaching. Environmental stressors such as sedimentation and anthropogenic activities were identified as major causes of coral health decline. The SWOT analysis placed Sopura Bay in the Turn Around Strategy position, emphasizing the optimization of strengths (regulation, community initiatives, ecotourism potential) and opportunities (multi-stakeholder collaboration, CSR funding) to overcome weaknesses and minimize threats. Strengthening local capacity through community-based management and educational ecotourism development is recommended to support ecosystem sustainability.

Implementation of a Virtual Tour for SMK Istiqomah Muhammadiyah 4 Samarinda City Using a 360° Camera

Muhammad Akmal Amrullah Ali — 2025-12-26

The rapid development of digital technology has encouraged educational institutions to adapt and innovate in promoting their school profiles. This study discusses the implementation of Virtual Tour technology at SMK Istiqomah Muhammadiyah 4 Kota Samarinda by utilizing a 360° camera as a medium to introduce the school environment interactively. The purpose of this research is to provide an engaging and realistic virtual experience that allows users to explore school facilities without being physically present on site. This study employs the Multimedia Development Life Cycle (MDLC) method, which consists of six stages: concept, design, material collecting, assembly, testing, and distribution. The implementation process includes capturing 360° panoramic images using a 360° camera, processing and integrating the images through the Kuula platform, and publishing the Virtual Tour on the school’s official website. Testing was conducted using the black-box method and beta testing involving teachers, students, and prospective students to evaluate usability and user experience. The results show that the developed Virtual Tour application functions properly, runs smoothly on various devices, and provides a positive exploration experience for users. Most respondents stated that the application is easy to use, informative, and visually appealing. The implementation of this Virtual Tour is considered effective in increasing the school’s attractiveness, strengthening its modern institutional image, and supporting digital-based promotional strategies in today’s technological era.

Implementation of an Education and Early Detection Program to Reduce the Risk of Occupational Lung Disease in Furniture Craftsmen in Sambirembe Village

Tonang Dwi Ardyanto — 2025-12-26

Furniture industry workers in Sambirembe Village, Sragen, face significant health risks from exposure to wood dust, particularly an increased risk of Chronic Obstructive Pulmonary Disease (COPD). This research is prompted by the low awareness among workers regarding these risks and the minimal use of personal protective equipment (PPE). The objective of this program was to increase workers' and business owners' knowledge of lung health, promote early detection of COPD, and encourage the adoption of safer work practices. The method employed was an intervention that included health education and lung function screening via questionnaires and spirometry. The results revealed a critical knowledge gap, where over 85% of workers had never heard of COPD, even though 70% of them reported experiencing respiratory symptoms. Furthermore, over 90% of workers admitted to rarely using masks. The intervention, which combined education with personalized spirometry data feedback, proved effective in increasing worker awareness of tangible health risks. In conclusion, the education-based and health-screening intervention program successfully raised furniture workers' understanding of COPD risks. An approach that integrates information with personal medical evidence is crucial for promoting behavioural change in high-risk work environments.

Innovation of Automatic Anti-Freezing Batik Wax Filtering Technology for the Revitalization of Sustainable Batik Entrepreneurship Based on Intellectual Property IDD000075738

Muslichah Erma Widiana — 2025-12-26

Traditional batik enterprises in Indonesia face major challenges in sustaining productivity, efficiency, and global competitiveness. One key issue is the manual filtering of batik wax (malam), which often causes clogging and solidification, disrupting production and reducing batik quality. This research introduces an Automatic Anti-Clog Batik Wax Filtering Technology as an innovative solution for revitalizing sustainable batik entrepreneurship, registered under Industrial Design Intellectual Property IDD000075738. The study aims to develop a practical technology that automatically filters batik wax, maintains an ideal temperature, and prevents freezing during the production process. This innovation is expected to improve production efficiency, maintain motif quality, and enhance the resilience of small and micro batik enterprises. The research adopts a Research and Development (R&D) approach through applied experimentation, engineering design, and co-creation with local batik artisans. The two-year project includes wax characterization, temperature analysis, prototype design, and field testing with Keyna Gallery, a natural dye batik producer in Jombang. The outcomes include a simple patent, a functional prototype, and international journal publications. With a targeted Technology Readiness Level (TRL) of 7–9, this innovation supports SDG 8 (Decent Work and Economic Growth) and SDG 12 (Responsible Consumption and Production), promoting a sustainable, efficient, and globally competitive batik industry.

Integrating Peer Counselor Training in Psychological First Aid (PFA) to Reinforce University Counseling and Disability Support Systems

Ronald Maraden Parlindungan Silalahi — 2025-12-26

Psychological First Aid (PFA) is an essential competency for peer counselors to support mental health among university students. To strengthen students’ knowledge and readiness in providing early psychological support, a one-day Peer Counselor Training was conducted involving 22 psychology students (mean age = 20.73 years). The training consisted of lectures, video, case discussions, demonstrations, supervised roleplay, reflection, and assessments covering mental health concepts, psychological disorders, non-suicidal self-injury, suicidal ideation, suicide attempts, suicide, dynamics of interpersonal relationships, and the core principles of PFA. Pre- and post-training assessments showed a clear improvement in participants’ knowledge. Due to the non-normal distribution of the posttest scores, a Wilcoxon Signed-Rank Test was performed, yielding statistically significant results (Z = -4.12, p < 0.001). This finding indicates that the training effectively enhanced students’ understanding of PFA. Participants also expressed high satisfaction with the learning materials, simulations, and media used, suggesting that the training methods were engaging and useful for practical skill development. They recommended longer simulation sessions and more interactive case-based discussions for future training. Importantly, the training strengthens the role of students as active partners in campus mental health promotion. Trained peer counselors serve as an accessible first point of contact for fellow students, including those with disabilities who may face academic, emotional, or social barriers. Their presence supports early detection of distress, facilitates timely referrals to professionals, and complements the work of Counselling and Disability Service Unit (Unit Layanan Disabilitas/ULD). Through this initiative, the university’s commitment to inclusive, responsive, and student-centered mental health support is significantly reinforced.

Integration of Field Data and Citizen Science in Spatial-Based Tropical Biodiversity Information Systems

Tommy Bustomi — 2025-12-26

Biodiversity monitoring in tropical regions is often constrained by limited field survey coverage and fragmented data. This study develops a spatial information system that integrates field data collected through an Android application, citizen science contributions from iNaturalist, and environmental indicators such as the Normalized Difference Vegetation Index (NDVI) and land cover. The integration process employs a spatial database and ETL mechanisms for data normalization, quality validation, and spatial joins with raster data. The implementation results demonstrate that the system is capable of displaying biodiversity distribution in an integrated interactive map. Although citizen science data provide significant contributions, challenges remain in terms of data quality, participation bias, and the protection of sensitive species. With appropriate methodological approaches, this system has the potential to serve as a supporting tool for biodiversity monitoring and data-driven conservation planning.

Mechanical System Design for a Handling System Demonstrator for Simulating Real Production Environments

Ignatius Henry Ismadi — 2025-12-26

The paradigm shift in manufacturing towards Industry 4.0 requires the availability of vocational education infrastructure that is capable of representing actual production floor conditions. The material handling system is a vital component in the integration of the industrial supply chain, which involves precise synchronization between mechanical design and control systems. However, the educational tools currently available often fail to simulate the complexity of this integration due to designs that are too simple or not industry standard. This study aims to design and realize a mechanical system in a material handling system simulator by adopting the Learning Factory concept. The research was conducted using the Research and Development (R&D) method with the ADDIE approach. The main focus of the research was the design of a modular mechanical structure using aluminum profiles, conveyor transmission mechanisms, and an integrated electro-pneumatic control system. The design results were validated through the realization of physical prototypes and functional testing. The research results show that the developed mechanical design has high rigidity and is capable of simulating the material transportation process with stability. The designed control system successfully integrated inductive and optical sensors and pneumatic actuators with 100% sorting logic accuracy. This simulator provides a realistic platform for students to learn about the interaction between mechanical and control components in a safe but authentic production environment.

Music Genre Classification Based on Spectrogram Using CNN-MobileNet

Donatus Leo — 2025-12-26

Music is a universal form of art that has a significant impact on human life. In the digital era, managing increasingly large music collections requires an effective classification system to facilitate searching and storage. One of the growing methods is music genre classification, which helps organize music based on specific characteristics. This study explores the application of Convolutional Neural Network (CNN) and the MobileNet architecture for music genre classification based on spectrogram images. Spectrogram representation is used to convert audio signals into visual form, allowing the classification problem to be approached as an image classification task. The dataset used is GTZAN, consisting of six genres: blues, classical, country, hiphop, jazz, and metal. Image augmentation is applied to increase the diversity of training data, including rotation, translation, zooming, brightness adjustment, and horizontal flipping. The evaluation results show that the CNN-MobileNet model achieves an overall accuracy of 83%, with a macro precision of 85%, macro recall of 83%, and macro F1-score of 84%. The classical genre achieved the best performance with an F1-score of 93%. This research demonstrates that spectrogram-based music genre classification using CNN-MobileNet is an effective approach for automatic music recognition tasks

Personalization and Privacy: Factors Influencing Users' Willingness to Accept Personalized Information in Multivitamin Purchases. A Case Study on Shopee.

Audria Ineswari Mulya Marhadi — 2025-12-26

The e-commerce industry in Indonesia, particularly in the health sector such as multivitamin, has experienced significant growth in recent years. E-commerce platforms like Shopee leverage consumer data to offer personalized product recommendations, including in the multivitamin category. While this personalization strategy can enhance the shopping experience, concerns regarding consumer privacy, especially for health-related products, pose a major challenge. This study aims to identify the factors influencing consumers' willingness to accept personalized communication on e-commerce platforms, focusing on five key variables: perceived benefits, perceived risks, trust, privacy policy transparency, and data usage context. The study employs multiple linear regression to analyze the simultaneous and partial effects of these variables on consumers' decisions to share personal data. The results indicate that the data usage context variable has a significant partial effect, while the other variables do not show significant individual effects. However, all five independent variables collectively have a significant impact on consumers' willingness to accept personalized communication. These findings provide valuable insights for e-commerce practitioners in designing effective personalization strategies, while ensuring consumer privacy is safeguarded. Furthermore, the study contributes to privacy protection policies, particularly in the e-commerce context, by emphasizing the importance of transparency and trust in maintaining a healthy relationship between platforms and consumers.

Security Design for Local Area Networks Using Port Firewall Security

Ahmad Fahrijal Pukeng — 2025-12-26

Network security design is a crucial aspect in maintaining data integrity, confidentiality, and availability. This study develops and tests an effective network security system using the firewall security port method. This method focuses on identifying and restricting access to physical switch ports to prevent unauthorized access and protect the system from external threats. The research method uses experimental stages through subjective means to describe current practices. Through configuration and testing in a simulated environment, this study shows that the implementation of MAC address-based port security effectively blocks illegal devices without disrupting the connectivity of legitimate devices. This study provides evidence and practical guidelines that the firewall security port method is an efficient solution for improving network access layer security. The conclusions of this study provide a basis for organizations to implement proactive security measures in the face of evolving cyber threats.

Shelf-life Evaluation of Mango Jelly Candy: Critical Moisture Content Method

Silvia Oktavia Nur Yudiastuti — 2025-12-26

Using the critical moisture content method, this study investigated the shelf life of mango jelly candy made from over-ripe arum manis mango. The product's shelf life must be evaluated to determine its effect after combining with citric acid. Tests were conducted using 0.5%, 1%, and 1.5% concentrations of citric acid. The mango jelly was wrapped in polypropylene packaging at a relative humidity (RH) of 78% and a temperature of 290 °C. Based on the analysis results, adding 0.5% citric acid yields a product with a longer shelf life compared to concentrations of 1% and 1.5%. An increase in the pH of mango jelly candy causes this. An increase in pH can cause syneresis, thereby increasing the water content in the jelly, which ultimately increases the Aw, allowing it to become a growth medium for microorganisms and resulting in a decrease in the characteristics of the mango jelly candy. The characteristics of the mango jelly product at a concentration of 0.5% as the chosen product formulation concentration are water content 19.91%, ash content 1.3%, fat content 0.33%, protein content 0.71%, and carbohydrate content 77.77%, and IC₅₀ value at 16.11, with hedonic test values for aroma at 3.56, color at 4.04, taste at 4.0, and texture at 3.56. All stored products, whether treated as A1, A2, or A3, will be damaged on the 4th day of storage. Based on Labudza's calculation analysis, mango jelly candies A1, A2, and A3 have shelf lives of 12, 8, and 6 days, respectively. And three days.

Smart Waste Management Design for Higher Education: Case Study of Al-Azhar University of Indonesia

Aditya Ananta — 2025-12-26

Al-Azhar University of Indonesia (UAI) has faced significant challenges in waste management. This has caused the UI GreenMetric ranking to be lower. After conducting observations and interviews with the Technical Implementation Unit for Facilities and Infrastructure (SarPras), several major problems found included the absence of waste sorting, excessive waste accumulation, and large waste generation at temporary disposal sites. To improve UAI's ranking in UI Greenmetric and achieve the Sustainable Development Goals target, this study produced a smart waste management system based on the Internet of Things (IoT), Embedded Systems, and Machine Learning (ML). Some of the main components of the design results include a smart bin that uses ultrasonic sensors to reduce accumulation; a web application for monitoring and reward systems; and automatic waste sorting for recycling using Raspberry Pi, infrared sensors, and the ML FOMO (Faster Objects, More Objects) algorithm secured through a CCTV system. In addition, this system is supported by digital education for waste reuse and collection route optimization using ML predictions of the Linear Regression model. With the cooperation of third party sorted waste transportation, this design improves waste management and UAI GreenMetric UI ranking with validation and approval by SarPras and Information Technology Center (PTI).

Strategy for Improving Vocational Students' Human Skills through Cross-Level Social Project Mentoring

Gregorius Adi Prastiantomo — 2025-12-26

Vocational higher education often emphasizes technical competence (hard skills), whereas modern industrial dynamics demand mastery of human skills such as adaptive communication, empathy, and collaborative leadership. This study aims to analyze the effectiveness of Project-Based Learning (PjBL) implementation in Compulsory Curriculum Courses (MKWK) as a strategy for developing human skills among Politeknik ATMI Surakarta students. Using a descriptive qualitative method, this study involved students in mentoring cross-level social projects at five partner schools in Solo Raya, ranging from elementary to vocational high school levels. Data were collected through participatory observation, in-depth interviews, project portfolio documentation, and Focus Group Discussions. The results indicate that cross-level interaction encourages a significant transformation in students from being technical-minded to becoming more socially aware. Improvements in human skills are concretely visible in adaptive communication skills when teaching elementary students, leadership in managing junior high student group dynamics, and team collaboration in mural projects at vocational schools. This strategy proves effective in bridging the social skill gap of vocational students, preparing them to be graduates who are not only technically competent but also humanist, adaptive, and possess civic engagement.

Sustainable Tourism Development Analysis in Blimbingsari Tourism Village, Banyuwangi, East Java

Kanom Kanom — 2025-12-26

This study aims to analyze sustainable tourism development strategies in Blimbingsari Tourism Village, Banyuwangi, East Java. The method used is qualitative descriptive with SWOT analysis to identify strengths, weaknesses, opportunities, and threats in tourism village management. Data was obtained through literature studies, government agency reports, and scientific publications from the last five years (2020–2025). The results of the study show that Blimbingsari Village has great potential through beach tourism, grilled fish cuisine, and community-based management. However, the challenges faced include limited institutional capacity, supporting infrastructure, and the risk of environmental degradation due to an increase in the number of tourists. The main strategies recommended include increasing community institutional capacity, diversifying tourism products, and implementing ecotourism principles and sustainable digital promotion. This study emphasizes the importance of collaboration between the community, government, and tourism stakeholders to realize adaptive, inclusive, and sustainable tourism development in Blimbingsari Tourism Village.

The Effect of Financial Performance and Audit Quality on Company Value with Corporate Social Responsibility (CSR) Disclosure as a Moderating Variable

Reni Ramadhani — 2025-12-26

This study aims to determine the effect of financial performance and audit quality on company value with CSR disclosure as a moderating variable. This study is based on financial performance, with indicators such as Return on Assets (ROA), Audit quality with the indicator being the auditor's opinion, namely an Unqualified Opinion, CSR disclosure with indicators such as the Global Reporting Initiative (GRI) G4, and company value with indicators such as Tobin Q. The method used is quantitative with a focus on numerical data. The data used is secondary data obtained from the annual reports of companies classified in the plantation sector listed on the Indonesia Stock Exchange (IDX) during the period 2020 to 2024. The analysis method used is panel data regression, which is a combination of time series data and cross-sectional data that provides efficiency in model estimation. In addition, a moderation test was conducted to determine the role of CSR in strengthening or weakening the relationship between financial performance and audit quality on company value. The results of the study indicate that financial performance has a negative and significant effect on company value, but audit quality and CSR disclosure as moderating variables do not have a significant effect on company value. Furthermore, financial performance with CSR disclosure as a moderator has a negative and significant effect on company value, while audit quality with CSR disclosure as a moderator does not have a significant effect on company value.

The Effect of Sales Growth, Leverage, and Profitability on Company Value with Tax Avoidance as an Intervening Variable

Ires Azri Rejeki — 2025-12-26

This study aims to determine the effect of Sales Growth, Leverage, and Profitability on Company Value with Tax Avoidance as an Intervening Variable. This study is based on the Sales Growth Ratio, with the indicator being the Net Sales Growth Ratio, Leverage with the indicator being the Debt-to-Equity Ratio (DER), Profitability with the indicator being Return on Equity (ROE), and Tax Avoidance with the indicator being the Effective Tax Rate (ETR). The method used is quantitative with a focus on numerical data. The data used is secondary data obtained from the annual reports of companies classified in the retail sector listed on the Indonesia Stock Exchange (IDX) during the period 2021 to 2024. The sampling technique used purposive sampling, with a sample size of 15 companies and 60 observations. The analysis method used is panel data regression, which is a combination of time series data and cross-sectional data. An intervening test was also conducted to determine the role of tax avoidance in strengthening or weakening the relationship between sales growth, leverage, and profitability on company value. All data processing was performed using EViews software. The results of the study indicate that Sales Growth, leverage, and profitability as independent variables, as well as Tax Avoidance as an intervening variable, do not have a significant effect on company value. Furthermore, Sales Growth, leverage, and profitability with Tax Avoidance as an intervening variable also do not have a significant effect on company value.

The Impact of Early Marriage on Stunting in Kutai Kartanegara

Ega Ersya Urnia — 2025-12-26

In 2020, the prevalence of stunting in the world was 149.2 million or 22% in children under 5 years of age. Meanwhile, based on the results of the 2022 Indonesian Nutrition Status Survey, the prevalence of stunting in Indonesia is 21.6%. This figure is still relatively high, when compared with the target of reducing stunting to 14% by 2024. For the East Kalimantan Province region, the prevalence of stunting according to the 2022 Indonesian Nutrition Status Survey (SSGI) is 23.9%, while Kutai Kartanegara Regency is The region with the highest prevalence of stunted toddlers is in East Kalimantan in 2022, reaching 27.1%. The aim of this research is to analyze the impact of early marriage on the incidence of stunting in toddlers. The type of research that will be carried out uses quantitative research. The research is Cross Sectional with an observation approach or data collection at once at a time (point time approach). This research will be carried out in June 2024 which will take place in the Teluk Dalam Health Center Working Area. The population in this study is stunted toddlers in the Teluk Dalam Health Center Working Area which amounted to 121 people with a sample size of 32 people. The primary data processing obtained includes data entry, data processing and statistical data analysis is carried out by computerization, namely by using the SPSS program to conduct data analysis with descriptive analysis and inferential analysis, namely the Normality Test, Homogeneity Test, Chi Square Test. The results of the calculation of parents' knowledge about early marriage found that 65.6% of respondents had good knowledge and 3.1% had poor knowledge about early marriage. Meanwhile, the results of the calculation of parents' knowledge about stunting found that 62.5% of respondents had moderate knowledge and 9.4% had good knowledge about stunting. The results of the study obtained a summary result of the impact of early marriage on the incidence of stunting with a p-value of 0.02 (< α = 0.05). There is a relationship between early marriage and the incidence of stunting in the working area of the Teluk Dalam Health Center, Kutai Kartanegara Regency.

The Influence of a Meritocracy System on the Quality of Public Services

Maslia Qomar — 2025-12-29

This study examines the relationship between the merit system and the quality of public services, with the work motivation of state civil apparatus (ASN) as a mediator, using a case study in the West Sumbawa Regency Government. The background of the study is based on the need to strengthen bureaucratic professionalism through recruitment, promotion, competency development, and talent management practices based on qualifications and performance, amidst implementation challenges at the regional level influenced by limited capacity and a patronage culture. The research aims to build an empirical understanding of the extent to which the merit system affects the quality of public services, both directly and indirectly, through increased work motivation. This study uses a quantitative cross-sectional approach with a Likert scale-based instrument to measure the dimensions of meritocracy, work motivation, and public service quality adapted from the SERVQUAL model. Data analysis was performed using Partial Least Squares-Structural Equation Modeling (PLS-SEM), testing construct validity and reliability, as well as the significance of direct and indirect paths. The findings show that all merit components—from recruitment to talent management—significantly influence the formation of a strong merit system, with the greatest impact coming from competency development and talent management. The established merit system contributes positively to public service quality, reflected in the dimensions of reliability, responsiveness, assurance, empathy, and tangibles, with work motivation proven to partially mediate this relationship. These results affirm the importance of integrating merit-based HRM policies with strategies to strengthen ASN motivation as a continuous effort to improve service quality and public trust.