Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika

ICTO Service and Activity System with SMS

Adrian Forca — Fri, 31 Jan 2025 00:00:00 +0000

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 — Fri, 31 Jan 2025 00:00:00 +0000

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

Jonathan, Astrid — Fri, 31 Jan 2025 00:00:00 +0000

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.

Comparison of Two Sharia Insurance Unit-Linked Products Through Tabarru Fund Simulation

Yuyun Eka Pratiwi, Restu Ananda Putra, Novriana Sumarti — Fri, 31 Jan 2025 00:00:00 +0000

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.

Application of Python for Analysis and Visualisation of ChatGPT User Dataset on College Students

Citra Andhini Rizkitha, Wahyu Supriyatin, Yasman Rianto — Fri, 31 Jan 2025 00:00:00 +0000

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.

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 — Fri, 31 Jan 2025 00:00:00 +0000

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.

Analysis of Student Dropout at State Senior High School 6 Padangsidimpuan City Using the C5.0 Decision Tree Algorithm

Wahyudi Saleh Nasution, Sriani — Fri, 31 Jan 2025 00:00:00 +0000

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.

Electronic Clearance System with SMS Notification in the Case of Guimaras State University

Fri, 31 Jan 2025 00:00:00 +0000

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 — Fri, 31 Jan 2025 00:00:00 +0000

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.

IMPLEMENTATION OF GAMIFICATION IN M-LEARNING ENGLISH APPS USING OCTALYSIS FRAMEWORK (CASE STUDY: MTS DEVELOPMENT UIN JAKARTA)

Fri, 31 Jan 2025 00:00:00 +0000

Studying and mastering the English language is highly important in the current era of globalization. Considering that the influence of globalization has expanded into various fields such as technology, economy, politics, trade, and more. Technology plays a crucial role in understanding and keeping up with changes in the era of globalization. It helps us acquire information, communicate, enhance productivity, expand opportunities, and adapt to changes. The advancement of information technology has entered various aspects of life, including the field of education. Smartphones are one of the widely favored information technology devices, and Android, as the most widely used smartphone operating system, holds a global market share of 70.48%. There are various learning applications on the Google Play Store, but these apps tend to have monotonous and less interactive content, leading users to quickly feel bored. To address these challenges, this research proposes a solution through the implementation of gamification in English language learning applications. Gamification is a concept aimed at enhancing motivation and learner engagement. The researcher uses the Octalysis Framework as a method or framework for designing effective gamification. The researcher selects Madrasah Tsanawiyah Pembangunan UIN Jakarta as the testing ground for the created application. The User Acceptance Testing (UAT) results reach a score of 83.7, interpreted as 'Very Good.' Post-application usage evaluation also indicates an 18% increase in student motivation. These results show that the M-Learning English application with a gamification approach using the Octalysis Framework can facilitate the learning process, meet the needs of teachers at Madrasah Pembangunan UIN Jakarta, and enhance student motivation and interest in learning.

Usability Evaluation of Learning Management System (LMS) Interface Universitas Pakuan Mobile Version With Heuristic Walkthrough Method

Dicky Abdurahman, Muhamad Saad Nurul Ishlah, Aries Maesya — Fri, 31 Jan 2025 00:00:00 +0000

This study aims to evaluate the usability of the mobile Learning Management System (LMS) interface at Universitas Pakuan using the Heuristic Walkthrough method. This method combines Heuristic Evaluation and Cognitive Walkthrough to systematically identify usability problems and assess their severity. Major usability issues were observed in navigation, search functionality, interface consistency, and user guidance, with an average severity rating of 2.72 for Heuristic Evaluation and 2.02 for Cognitive Walkthrough, indicating significant problems. A prototype was developed using the Goal-Directed Design approach, focusing on enhancing navigation, consistency, and functionality. Post-trial evaluation revealed a substantial reduction in severity rating to 0.17, highlighting only minor cosmetic issues. These findings underscore the effectiveness of the proposed approach in improving LMS usability. However, further research is recommended to refine responsive design and explore features beyond the current scope of evaluation.

Integration of School Leaders and Student Preferences in Determining the Best Teachers

Ahmad Jurnaidi Wahidin, Miftah Faroq Santoso, Yusuf Unggul Budiman — Fri, 31 Jan 2025 00:00:00 +0000

This research integrates the preferences of school leaders and students in assessing teacher performance using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) and Multi-Attributive Border Approximation Area Comparison (MABAC) methods. Conducted at SMK YADIKA 5, this quantitative study evaluated teacher performance based on various criteria, including attendance, teaching innovation, leadership, pedagogical skills, and personality. Data collection involved questionnaires for students and school leaders, interviews for deeper insights, and documentation such as attendance records and academic reports to support the evaluation. The MOORA method facilitated decision matrix normalization, criteria weighting, and optimization score calculation, while the MABAC method analyzed alternatives by measuring their distances from ideal and anti-ideal solutions. Both methods consistently identified teacher A7 as the top performer, showcasing their effectiveness in providing objective, fair, and transparent evaluations. The results highlight the practicality of these methods in educational settings to enhance teacher motivation and improve overall teaching quality. This study contributes to advancing performance evaluation frameworks in schools by integrating diverse preferences and offering actionable recommendations. Future research could expand this approach by including additional stakeholders, such as parents or administrative staff, or applying these methods to different educational institutions to further validate and refine the framework for broader use.