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International Journal of Computer Technology and Science
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30481899     EISSN : 30481961     DOI : 10.62951
Core Subject : Science,
Computer Science & IT
This Journal accepts manuscripts based on empirical research, both quantitative and qualitative. The scope of the this Journal covers the fields of Computer Technology and Science. This journal is a means of publication and a place to share research and development work in the field of technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 45 Documents
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Enhancing Data Management Efficiency in Higher Education: A Case Study on the Development of P2M Applications Dirham Triyadi; Rijwan Rijwan; Budiman Budiman; Nur Alamsyah; Reni Nursyanti; Elia Setiana
International Journal of Computer Technology and Science Vol. 2 No. 1 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i1.221

Abstract

Developing research and community service (P2M) applications is crucial in enhancing efficiency and accuracy in managing related data at higher education institutions. This research aims to design a web-based application that simplifies the data management process for research, community service, and associated activities at Universitas Informatika dan Bisnis Indonesia (UNIBI). The research engaged the Rapid Application Development (RAD) methodology to actively incorporate stakeholders throughout the application development lifecycle, thereby guaranteeing alignment with their requirements. The results showed that the developed Application effectively resolved inaccurate data displays, manual data collection, and inefficient validation processes. Key features include a more accurate dashboard, an automated article validation tool integrated with Google Scholar, and streamlined submission community service activities. The activity submission process enhances operational efficiency and improves transparency and accountability in managing academic data. This research contributes to the broader adoption of digital solutions in educational administration, offering significant improvements in data accuracy and management at UNIBI.
Optimizing Data Visualization for Research and Community Service Management : Evaluating SIMLPPM Universitas Jambi Using the HOT-FIT Model Jodion Siburian; Pradita Eko Prasetyo Utomo; Dawam Suprayogi
International Journal of Computer Technology and Science Vol. 2 No. 1 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i1.230

Abstract

The increasing demand for efficient data management in higher education has highlighted the need for advanced information systems that support research and community service activities. At Universitas Jambi, the Sistem Informasi Penelitian dan Pengabdian kepada Masyarakat (SIMLPPM) is the primary platform for managing research data. However, its usability remains limited due to restricted accessibility, unstructured data categorization, and inadequate visualization tools. This study aims to enhance SIMLPPM by developing an interactive dashboard to improve data presentation, user trust, and decision-making efficiency. The research employs the Human-Organization-Technology FIT (HOT-FIT) model to evaluate user satisfaction and system effectiveness by surveying 128 faculty members. The findings indicate that leadership support, organizational structure, and facilities significantly influence user satisfaction and system adoption, while information and service quality have minimal impact. The study underscores the importance of system usability and administrative support over purely technical attributes. Future research should explore AI-driven analytics and expand the evaluation across multiple institutions to enhance data accessibility and user engagement in research management.
Digital Innovations in Petanque Sport: A Study on the Perceived Benefits and Barriers of Using an Android-Based Application Muchamad Arif Al Ardha; Kolektus Oky Ristanto; Rizky Muhammad Sidik; Muhammad Kharis Fajar; Advendi Kristiyandaru; Sauqi Sawa Bikalawan; Oce Wiriawan; Kukuh Pambuka Putra
International Journal of Computer Technology and Science Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i2.231

Abstract

The rapid evolution of digital technology has significantly impacted various sports, including niche ones like petanque. This study explores the perceived benefits and barriers of using an Android-based application for scoring and statistics management in petanque, a sport gaining popularity in Indonesia. Traditionally, performance assessment in petanque relied on manual, paper-based methods, prone to inaccuracies and inefficiencies. An Android app, Petanque Match Statistics, was developed to address these challenges, offering real-time data accuracy, improved workflow, and enhanced performance analysis. This study employed a quantitative approach, surveying 50 participants (35 players and 15 coaches) in Surabaya, Indonesia, to assess their impressions of the app's usability, accuracy, efficiency, and overall satisfaction. Results indicated high ratings across all parameters, with no significant differences between players and coaches. The app was commended for its intuitive design, reliability, and time-saving efficiency. Findings highlight the potential of digital solutions to modernise petanque match administration, enhance strategic decision-making, and improve the user experience. The study underscores the importance of user-centred design in facilitating the adoption of digital advancements in sports, offering valuable insights for future developments in petanque and other emerging sports.
User Satisfaction Analysis of QGIS and CarryMap Using End User Computing Statisfaction and User Centered Design Methods Ira Zulfa; Richasanty Septima; Muhamad Yustisar; Rapiah Rapiah
International Journal of Computer Technology and Science Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i2.240

Abstract

Using End User Computing Satisfaction (EUCS) and User Centered Design (UCD) methods, this study investigated user satisfaction with QGIS and CarryMap. The research objective was to deploy elements such as content, accuracy, ease of use, and timeliness. A survey of students and teachers showed that users were more satisfied with the latest versions of both applications. The findings show that the user interface and functionality have evolved, which indicates the direction of future development of mapping applications.
Multiclass Meat Classification Using a Hybrid Machine Learning Approach Taopik Hidayat; Daniati Uki Eka Saputri; Faruq Aziz; Nurul Khasanah
International Journal of Computer Technology and Science Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i2.238

Abstract

Image classification is a key field in digital image processing with broad applications, such as object recognition and disease detection. The use of artificial neural network architectures, such as MobileNetV2, has significantly advanced pattern recognition in large datasets. However, in small datasets, challenges related to accuracy and generalization are often encountered. This study explores an RGB-based approach utilizing MobileNetV2 for image feature extraction and Support Vector Machine (SVM) as the classifier. MobileNetV2 is applied to extract features from RGB images, which are then further processed by SVM to determine image classes. The results indicate that this model achieves an accuracy of 91.67%, precision of 0.9163, recall of 0.9167, and F1-score of 0.9161. Based on the confusion matrix analysis, the model effectively distinguishes between classes, despite slight overlaps. This research contributes to the development of intelligent image classification systems that can be applied in various fields, including the food industry. With these achievements, the RGB approach integrating MobileNetV2 and SVM has proven effective in enhancing image classification accuracy, even with relatively small datasets. These findings open opportunities for applying similar methods in other image processing tasks that require high accuracy in object or disease detection and classification.
Application of Analytical Hierarchy Process in Functional Position Credit Point Assessment Yudi Wiharto; Mufti Mufti; Subandi Subandi; Anita Diana
International Journal of Computer Technology and Science Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i2.242

Abstract

Credit score evaluation for functional positions is a critical component in the career development of employees at the Financial Supervisory Agency (BPK) in Jakarta. However, this evaluation process often encounters challenges related to objectivity, consistency, and transparency due to the combination of qualitative and quantitative criteria. This study aims to apply the Analytical Hierarchy Process (AHP) as a decision support tool in the credit score assessment system. AHP is chosen for its ability to break down complex problems into a hierarchical structure and to assign priority weights through pairwise comparisons among criteria. This method is used to determine the priority weights of each evaluation component, including both main and supporting elements, leading to more structured and accountable decisions. The findings indicate that the implementation of AHP enhances the accuracy and objectivity of the credit score evaluation process for functional positions at BPK. Therefore, this approach can serve as the foundation for developing a more transparent and efficient technology-based assessment system.
Analysis of Effectiveness and Compliance Implementation of E-Tickets in Jakarta Using the Framework Cobit-2019 Rafli Pamungkas; Muhammad Farhan; Vico Marviawan
International Journal of Computer Technology and Science Vol. 2 No. 3 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i3.283

Abstract

The Electronic Traffic Law Enforcement (E-Tilang) system has been implemented in Jakarta as an innovative solution to address the increasingly complex problems of traffic law enforcement. This research aims to evaluate the effectiveness of the E-Tilang system's implementation by analyzing public compliance levels and measuring the system's maturity using the COBIT 2019 framework. The research method uses a quantitative approach with a survey of 113 Jakarta residents who have experience with the E-Tilang system. Data was collected through a structured questionnaire mapped to the five COBIT 2019 domains: Evaluate, , Plan and Organize (APO); Build, Acquire and Implement (BAI); Deliver, Service and Support (DSS); and Monitor, Evaluate and Assess (MEA)
Design and Application of PLC-Based Salinocontrol Machine Integrated with IoT for Milkfish Ponds in Ujung Watu Village, Jepara Ahmad Faidlon; Aida Nahar; Anna Widiastuti; Haris Fujiari; Riyan Agus Prasetiyo
International Journal of Computer Technology and Science Vol. 2 No. 3 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i3.284

Abstract

Milkfish farming in coastal ponds of Ujung Watu Village, Jepara, is highly influenced by the stability of water salinity levels. Significant fluctuations in salinity can interfere with the growth and health of fish, so an adaptive control system is needed. Research methods include field data collection, hardware and software design, and system testing in an active pond for 14 days (23-hour sampling), where data is extracted for 23 hours. The system uses a salinity sensor to detect water conditions, PLC to automatically control the brackish water pump, while wireless remote control uses IoT, in addition to controliing, IoT to send data to the Android-based monitoring platform. The test results show that this machine is able to maintain salinity levels within the optimal range of 10000-30000 ppm, and provide remote monitoring convenience to pond farmers. The monitoring system serves as a predictive for manual wireless control of electric pumps (IoT), while automatic control is controlled by PLC.
Advanced Machine Learning for Comprehensive Mapping and Risk Analysis of Dengue Fever in Purwokerto to Support Public Health Preparedness Rosa Ratri Kusuma Hariningsih; Diwahana Mutiara Candrasari; Endang Setyawati; Syamsu Wahidin; Jevon Nataniel Putra
International Journal of Computer Technology and Science Vol. 2 No. 3 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i3.285

Abstract

Dengue Fever (DF) continues to be a major public health threat in Indonesia, especially in urban areas with high population density, such as Purwokerto City. This study aims to develop a predictive model to identify high-risk areas for DF outbreaks by integrating Machine Learning (ML) algorithms and Geographic Information Systems (GIS). The research utilizes historical dengue case data, meteorological parameters (rainfall, temperature, humidity), and population density as predictive variables. Three ML classification algorithms—Naïve Bayes, Logistic Regression, and Support Vector Machine (SVM)—were implemented to develop risk prediction models. Extensive data preprocessing, feature selection, and spatial integration were applied to ensure model robustness. The results show that the SVM model outperformed other methods, achieving the highest accuracy, precision, recall, and F1-score in classifying dengue risk zones. Risk maps generated through GIS visualization successfully identify priority areas for targeted interventions. The novelty of this research lies in the combination of local epidemiological data, multi-algorithm comparison, and geospatial mapping to improve early warning systems for DF in Purwokerto. This integrated approach is expected to support more effective prevention strategies and enhance public health preparedness.
Birth Certificate Data Archive System with Web-Based Waterfall Method at the Population and Civil Registration Service of Central Aceh Ira Zulfa; Salmandi Salmandi; Faradilla Faradilla
International Journal of Computer Technology and Science Vol. 2 No. 3 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i3.286

Abstract

The birth certificate archive management system at the Central Aceh Population and Civil Registration Office still uses manual methods, which causes data search and storage to be less efficient. Therefore, this study aims to design and develop a web-based birth certificate data archive information system with the Waterfall method so that the management of data is more effective, secure, and organized. The development method used is Waterfall, which consists of the stages of analysis, design, implementation, testing, and maintenance. This system was built using the PHP programming language with the Laravel framework, and using MySQL as a database. The results of implementation shows that this system is able to manage archives digitally, facilitate data search, and reduce the risk of loss or damage to physical documents. System testing is carried out using the Black Box Testing method, which shows that all main features of the system function in accordance with the designed specifications. Evaluations from users of the system also show that the system is easy to use and increases efficiency in managing birth certificate archives. With this system, it is expected that the population administration process at the Population and Civil Registration Office of Central Aceh can run faster and more accurately, and provide better services to the community.

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