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Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jalan Raya Pakuan PO. BOX 452, Bogor, Indonesia
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Komputasi
Published by Universitas Pakuan
ISSN : 16937554     EISSN : 26543990     DOI : https://doi.org/10.33751/komputasi.v22i2.29
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Mathematics
Komputasi is a journal that publishes scientific papers in the fields of computer science and mathematics. This journal, published by the Department of Computer Science, Faculty of Mathematics and Natural Sciences, Pakuan University, Bogor. This journal provides an opportunity for researchers or academics to submit papers in the field of computer science, as well as management policies related to all aspects of computers and their subdisciplines. The journal is published twice a year, is well-documented in book form, which includes a wide range of computer science and mathematics papers by authors from various backgrounds. In addition, we also have partners from local editors who graduated as professors from several universities who will review each article before it is published. Every article or paper published in this Journal will definitely be useful for all visitors and readers. Articles submitted to this journal will be reviewed by reviewers before being published by a blind review.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 36 Documents
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ICTO Service and Activity System with SMS Adrian Forca
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.2

Abstract

The study titled "Information and Communications Technology Office Service and Activity System with Short Messaging Service" focuses on improving the current processes of the Information and Communications Technology Office through the development of a comprehensive system. The researcher identified problems within the existing processes and drew inspiration from prior arts and the Iterative Software Process Model to develop the Platform with SMS Notification. To evaluate the effectiveness of the system, the researcher used the ISO 25010:20r15 Software Quality Instrument and employed a Descriptive Research Design. The feedback from the respondents justified the study's objectives, leading to the conclusion that all objectives were successfully met. The software was found to exhibit "Very High" effectiveness in terms of various Software Quality Characteristics. The study recommends the full implementation of the developed system in the operational environment of the University. This implementation would bring about an upgrade from manual to automated and paperless recording processes, facilitated by Information Technology solutions. Furthermore, the study encourages future researchers to enhance the developed system by incorporating better features and expanding its scope to cover additional processes. The Study utilized the refreshed servers from the existing information systems that contributes to the maximization of the available resource to its potential use.
Faculty Information Systems Project Management: A Comparison of CPM And PERT Methods Gustian Rama Putra; Reza Ariftiarno; Lita Karlitasari; Dinar Munggaran Akhmad
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.5

Abstract

This research evaluates the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT) to determine the most efficient scheduling method for the development of an information system at the Faculty of Economics and Business, Universitas Pakuan. The system aims to consolidate work unit information and assist faculty leaders in decision-making. Both methods identified the same critical path (A-B-C-E-G-H), ensuring focus on activities critical to project completion. The CPM method estimated a project duration of 50 days, while the PERT method estimated 52 days. The two-day difference reflects CPM’s deterministic and optimistic approach, making it suitable for projects with predictable timelines. PERT, with its probabilistic calculations, incorporates activity duration variations and risks, providing more conservative estimates for projects with higher uncertainty. Due to its shorter duration and potential cost savings, the CPM method is recommended for the Faculty's information system development project. This research emphasizes the importance of selecting a scheduling method aligned with project complexity and uncertainty.
Development of an Android-Based Game Using Forward Chaining for Detecting Bullying Among Junior High School Students Arya Jonathan Trijadi; Astrid Novita Putri
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.8

Abstract

Bullying is an aggressive behavior commonly occurring among junior high school students, with detrimental impacts on both physical and mental health. This research developed an Android-based quiz game to detect bullying using the Forward Chaining method. The application is designed to identify five types of bullying: physical, verbal, direct non-verbal, indirect non-verbal, and cyber. The development process employed the Multimedia Development Life Cycle (MDLC), which includes concept, design, material collection, assembly, testing, and distribution. Testing results indicated that the application is effective in detecting bullying cases, facilitating guidance counselors (BK teachers) in obtaining accurate data, and enhancing student engagement through an interactive approach. This study aims to aid in bullying prevention within schools while serving as a foundation for further development in integrating technology for social intervention and providing opportunities for subsequent research on optimizing game features and developing data-driven interventions.
Application of Python for Analysis and Visualisation of ChatGPT User Dataset on College Students Citra Andhini Rizkitha; Wahyu Supriyatin; Yasman Rianto
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.9

Abstract

ChatGPT is an artificial intelligence supported by AI intelligence that allows textual conversational interaction. It is a versatile tool that can be used by various groups of people, including students. Students use ChatGPT to find information in support of their lecture activities. The increasing number of ChatGPT users among students has prompted research into analysis and visualisation of ChatGPT users in students. This study aims to conduct analysis and visualisation of ChatGPT users among students, both IT and non-IT students. The analysis is done to see whether ChatGPT can help and provide information to students. The results of the analysis will be displayed in the form of visualisation using bar charts so that the information conveyed is easy to see. The dataset used in the study was obtained from primary data through a questionnaire conducted to 80 respondents with 16 questions. In this research, qualitative analysis methods and data visualisation techniques were employed. The dataset obtained is then subjected to a process of cleaning to avoid data duplication and the inclusion of inappropriate data. Subsequent to the cleansing of the dataset, the data analysis process and data visualisation are then carried out. The analysis yielded several notable findings. Firstly, it was revealed that 85% of respondents were aware of ChatGPT, and furthermore, 75% of respondents expressed feeling assisted by its existence. However, 66% of respondents expressed reservations about immediate trust in the generated responses, and 60% indicated a lack of complete reliance on ChatGPT. Future research endeavours may explore the use of visualisation tools such as Looker Studio, Microsoft Power BI, or Tableau. Secondary data can be obtained from the Kaggle website, which contains a more varied range of data.
Comparison of Two Sharia Insurance Unit-Linked Products Through Tabarru Fund Simulation Yuyun Eka Pratiwi; Restu Ananda Putra; Novriana Sumarti
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.12

Abstract

The number of sharia insurance products has been steadily increasing over the past few decades. According to some research, this rise is expected to reach 15–20%. Tabarru funds, which are gathered funds intended to support one another without payment, should be included in the sharia insurance policy. This fund is supposedly gathered to cover the insured person's claim. Additionally, sharia insurance providers provide unit-linked sharia insurance, which was first made available by traditional insurance providers. This paper explains the operation of unit-linked sharia insurance. We examine this product that is offered by many companies. We develop a mathematical model to compute the unit-linked product's tabarru fund and simulate a few scenarios. The outcome shows that some ujrah (fees), such as these for acquisition, administration, risk management, investment management, and fund transfers, are deducted from the contribution that was paid. The simulations involving a subject who lives to be 99 years old and dies at specific ages reveal differences in the quantity of tabarru funds gathered from the products under observation. The tabarru funds collected in products A and B are IDR 110.040.000 and 9.072.000, respectively. This amount is not enough to cover the promised claims.
Interpreting sign language images into Text-Based using YOLOv7 Julius Sabilala; Rv Jan Zaldo Bautista; Lea Mae Gambol Tortogo; Lerry Joy Ga Juntarciego; Charles Vincent Gayoma; Adrian Forca
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 2 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sign Language recognition remains a significant challenge due to variations in hand gestures, occlusions, and environmental factors. This study introduces a YOLOv7-based sign language recognition system designed to interpret American Sign Language (ASL) images into text in real time, enhancing communication accessibility for individuals with hearing and speech impairments. The primary objectives are to develop an accurate detection model, improve real-time gesture interpretation, and optimize system performance for accessibility. The study follows the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology, including data collection, preprocessing, model training, evaluation, and deployment. The system was developed using YOLOv7, Python, and OpenCV, with an ASL dataset sourced from Roboflow and formatted in YOLOv7 PyTorch. Image preprocessing techniques such as normalization, resizing, and data augmentation were applied to enhance detection accuracy. The application integrates a real-time gesture recognition system, where detected ASL signs are instantly translated into text. Results demonstrate high detection accuracy for most ASL letters, but certain gestures such as J, Z, S, and T posed challenges due to similar hand shapes and motion-based characteristics. Optimization efforts included dataset expansion, refined annotations, and hyperparameter tuning to improve model precision. The system significantly enhances real-time ASL recognition, offering a scalable, AI-powered assistive tool for the deaf and hard of hearing community. This research contributes to machine learning-driven accessibility solutions, bridging the communication gap between sign language users and non-signers.
Improved Detection of Sunlight Source Determination Using Raspberry Pi 4-Based Fuzzy Logic on Solar Tracking System Asep Denih; Muhammad Iqbal Suriansyah; Irwin Irwin Subarkah
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.14

Abstract

Solar panels are the main component of a solar power generation system, converting sunlight into electrical energy. This study develops a solar cell monitoring method to collect output data in a specific text format and uses solar cell modules to maximize the efficiency of solar energy absorption that moves from east to west throughout the day. The solar panel tracking system uses the Raspberry Pi 4 as the central controller to follow the sun's movement. It is supported by LDR sensors to detect light intensity and move the panel according to the direction of light. In addition, the BH1750 and BME280 sensors are used to measure additional factors, such as temperature, wind pressure, humidity, light intensity, and light angle, that also affect the panels' power production. The collected data is processed using fuzzy logic to convert the exact values from the sensor into fuzzy data, allowing for more precise control in panel position optimization. The results showed that the system can improve the efficiency of solar energy absorption, with an optimal intensity level of 53,999.99 lux in very bright conditions and a fuzzy-lux difference of 1.1%, which is lower than previous research, indicating that the system is more efficient and supports accurate real-time monitoring.
Electronic Clearance System with SMS Notification in the Case of Guimaras State University Mary Llourane Faith Jornadal; Julie Ann S. Panimoto; Dyadhemme Pherl J. Patiño; Vic Christopher P. Cajilig; RD V. Fortunado; Adreal Y. Pelaez; Adrian J. Forca
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.16

Abstract

In response to the inefficiencies of manual clearance processes at Guimaras State University (GSU), this study presents the development of an Electronic Clearance System integrated with SMS Notification. Literature findings motivated researchers to craft the objective of streamlining clearance procedures and enhance accessibility for both students and employees. The system aims to reduce processing time, eliminate paperwork, and provide real-time updates to stakeholders. The methodology involved the adoption of the System Development Life Cycle (SDLC), encompassing requirements gathering, analysis, design, implementation, and testing phases. Through interviews with administrative offices at GSU, user requirements and clearance process intricacies were identified. Leveraging technologies such as PHP, MySQL, and CSS, a user-friendly web-based system was developed to facilitate clearance management. Key results of the study include a significant reduction in clearance processing time and improved user experience. By automating processes and integrating SMS notifications, the system ensures timely updates and enhances communication between stakeholders. Overall, the Electronic Clearance System with SMS Notification offers a scalable and efficient solution to streamline clearance management at GSU.
The Application of Geographic Information System (GIS) in Food Distribution Across Indonesia Abdus Syakur; Budi Setiawan
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.17

Abstract

Food distribution and the food supply chain are major issues in achieving food security in Indonesia. Geographical disparities, poor transportation systems, and social differences in Indonesia cause high complexity challenges in implementing a perfect distribution system that suits Indonesia's characteristics. The objective of this study is to build an application for a food distribution using a Geographic Information System (GIS) that can be implemented in Indonesia. The research method is the SDLC (System Development Life Cycle) approach with a Prototyping Model. The data collected consisted of spatial data in the form of Indonesian maps with the provinces as the mapping unit, and each province has a capital city that acts as a center point for food distribution. Attribute data consisted of province’s profiles, food productivity for each commodity, food supply, food sources and food exports. GIS can visualize all data layers into maps that are easier to analyze. Indonesia consists of 38 provinces spread across many islands, and each has its specific geographic profiles and transportation problems. Building a food distribution application is part of developing a food distribution system that produces a system prototype. The prototyping approach is used to evaluate the results of the GIS design by analyzing the features of food distribution in Indonesia. The result of this study is an application that can be implemented into a food distribution system that can create stable food security in Indonesia for all provinces.
Analysis of Student Dropout at State Senior High School 6 Padangsidimpuan City Using the C5.0 Decision Tree Algorithm Wahyudi Saleh Nasution; Sriani
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 22 No. 1 (2025): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v22i1.18

Abstract

The issue of student dropouts in Indonesia, including at SMA Negeri 6 Padangsidimpuan City, poses a significant challenge in the field of education. This phenomenon hampers the achievement of compulsory education programs and impacts the quality of human resources. The dropout rate at SMA Negeri 6 Kota Padangsidimpuan reached 19.08% in the 2023/2024 academic year, highlighting the urgency of this problem. Factors such as economic conditions, geographical constraints, and individual motivation are the primary contributors to this issue. This study aims to analyze the factors contributing to student dropouts using the C5.0 decision tree algorithm method. The research data was collected through interviews, observations, and school archives, then processed using RapidMiner software. The research process included data preprocessing, classification model development, and model evaluation using a confusion matrix. The results showed that the C5.0 decision tree algorithm could identify significant relationships among these variables, achieving an accuracy rate of 87%. In conclusion, the C5.0 decision tree algorithm is effective in analyzing the factors causing dropouts and can serve as a basis for formulating more targeted prevention strategies.

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