Article Per Year (5 Year)
p-Index From 2021 - 2026
1.877
P-Index
This Author published in this journals
All Journal Journal of System and Computer Engineering Taroa : Jurnal Pengabdian Masyarakat Jurnal Penelitian, Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian kepada Masyarakat (PEMAS) Jurnal Pengembangan Sains dan Teknologi Scientific: Journal of Computer Science and Informatics Journix: Journal of Informatics and Computing
Dahlan
Universitas Muhammadiyah Bima, Bima, Indonesia
Religion Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
RLBSA-based Academic Information System Optimization for Student Performance Prediction Dahlan; Miftahul Jannah; Dilla Puspita Mentia; Nurul Aulia Safitri
Journix: Journal of Informatics and Computing Vol. 1 No. 1 (2025): April
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i1.5

Abstract

Academic information systems play an important role in student data management and data-driven decision-making. However, traditional analysis methods such as Decision Tree (DT) and Support Vector Machine (SVM) often suffer from limitations in prediction accuracy and processing efficiency. This research develops an Academic Information System based on Random Leapfrog Band Selection Algorithm (RLBSA) to improve student performance prediction accuracy and academic data processing efficiency. The system adopts Google Firestore (NoSQL) architecture based on cloud computing, which enables large-scale data management with low latency and high scalability. Experimental results show that the RLBSA-based model achieves a prediction accuracy of 94.3%, higher than that of SVM (89.7%) and DT (87.4%). In terms of efficiency, the RLBSA-based system reduces data processing time by 40% compared to traditional methods, making it faster in handling large-scale academic datasets. In addition, scalability testing shows that the system is capable of handling up to 1,500 simultaneous users with an average latency below 250 milliseconds, proving its superiority in cloud-based academic environments. This research contributes to the development of data-driven academic evaluation systems, algorithm optimization in student performance analysis, as well as the application of cloud technology in academic information systems. The implications of this research open up opportunities for further integration with deep learning and reinforcement learning to improve accuracy and efficiency in academic decision making.
Development of Management Information System Based on MVC Architecture to Improve Business Process Efficiency Miftahul Jannah; Dahlan; Chairul Akbar
Journix: Journal of Informatics and Computing Vol. 1 No. 2 (2025): August
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i2.11

Abstract

With the increasing need for flexible, scalable, and maintainable information systems, the Model-View-Controller (MVC) architecture has become a popular approach in software development. This research aims to design and implement an MVC-based management information system to improve data management and business process efficiency. The study adopts the Agile software development method with the Scrum framework, enabling iterative progress and rapid adaptation to user needs. The implementation employs the Laravel framework to ensure modular separation between business logic, user interface, and control flow. The evaluation is carried out using black-box testing and performance testing with Apache JMeter. The results show that the MVC-based system reduces processing time by 30% compared to a monolithic system and enhances system scalability and maintainability. This study concludes that MVC architecture provides significant improvements in system efficiency, modularity, and sustainability. Future work may focus on integrating microservices and cloud computing to further enhance scalability and performance.
An IoT-Based Soil Moisture Monitoring Prototype with Automated Notifications for Drought Risk Indication Muhammad Amirul Mu'min; Dahlan
Journix: Journal of Informatics and Computing Vol. 1 No. 2 (2025): August
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i2.17

Abstract

Soil moisture monitoring is a critical aspect of sustaining crop cultivation, particularly in environments that are vulnerable to climate variability and fluctuations in soil water content. The limitations of manual monitoring methods, which are often inefficient and time-consuming, highlight the need for automated systems capable of delivering timely and accurate information. This study aims to develop and evaluate an IoT based soil moisture monitoring system equipped with automatic notification capabilities for users. The proposed system employs an ESP32 microcontroller as the main processing unit, soil moisture sensors for data acquisition, MQTT as the data communication protocol, and a Telegram Bot as the notification service. The research methodology includes system architecture design, sensor data processing, internet network integration, and the implementation of automated notification services. Experimental testing was conducted to assess the consistency of sensor readings, the reliability of data transmission, and the system’s responsiveness to changes in soil moisture levels. The results demonstrate that the system is able to deliver real-time soil condition information with good stability and to respond to critical decreases in soil moisture through automatic notifications within a relatively short response time. These findings indicate that an IoT-based approach can enhance the efficiency of environmental monitoring and support informed decision-making in crop management. The developed prototype shows potential for application in precision agriculture as well as small- to medium-scale environmental monitoring scenarios.
Co-Authors Chairul Akbar Dilla Puspita Mentia Fathir Fathir Fathir Ihwan Irma Eryanti Putri Khaeruddin Khaeruddin Khaeruddin Maulana Muhammad Jogo Samudro Miftahul Jannah Miftahul Jannah Muhammad Amirul Mu'min Muhammad Amirul Mu'min Muhammad Amirul Mu’min Musmuliadin Nurul Aulia Safitri Putri, Irma Putri, Irma Eryanti Rahman, M. Deta Zulfikar Rahmat Dani S Sahibu, Supriadi Sahrul Ramadhan Siti Mutmainah Syarifuddin Syarifuddin Taufiqurahman, Taufiqurahman Yana Safitri, Yana Yuyun, Yuyun Zumhur Alamin Zumhur Alamin