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Journal : Journal of Hypermedia

Data Compression Technology for Optimizing Digital Learning Material Management in Repository Application using Personal Extreme Programming (PXP) Putra, Wahyu Permana; Saputra, Hadi Kurnia; Hadi, Ahmaddul; Mursyida, Lativa
Journal of Hypermedia & Technology-Enhanced Learning Vol. 2 No. 1 (2024): Journal of Hypermedia & Technology-Enhanced Learning—Virtual Victory
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v2i1.108

Abstract

This research aims to create an educational environment integrated with technology through the implementation of educational technology, particularly by managing and storing digital learning device documents known as repositories. The developed Repository System aims to optimize storage management for learning device documents within an educational institution. A case study was conducted at a Vocational High School (SMK). The management and storage system for learning device documents was developed using the Personal Extreme Programming (PXP) method, adopting an adaptive and flexible agile approach. The repository system also applies data compression technology to optimize the storage capacity of learning device documents. Based on the results of the data compression testing, the developed system proved to be suitable, achieving an average storage efficiency of 40.04% for each uploaded file. This research contributes practical insights into the implementation of a repository system in an educational environment, particularly in Vocational High Schools, with a focus on curriculum transitions and the efficiency of managing learning device documents.
Development of Network Infrastructure Monitoring System at Vocational High School Using MikroTik and Telegram Integration Pratama, Bayu; Zulhendra; Hadi, Ahmaddul; Mursyida, Lativa
Journal of Hypermedia & Technology-Enhanced Learning Vol. 2 No. 2 (2024): Journal of Hypermedia & Technology-Enhanced Learning—Meta World
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v2i3.133

Abstract

This study aimed to develop a monitoring system for the computer network infrastructure at SMKN 7 Sijunjung. The system was designed to provide real-time monitoring of traffic, activity logs, and connected user devices on the MikroTik router; additionally, the application integrated notifications through the Telegram service to offer prompt information regarding network disruptions. The design methodology employed was PPDIOO (prepare, plan, design, implement, operate, and optimize). The system is implemented using a combination of hardware and software, including the utilization of the CodeIgniter framework for the user interface (UI). System testing was conducted using the BlackBox method to evaluate the functionality of the application comprehensively. The test results confirm that the application effectively monitored the network and promptly notified us of its status. However, there were certain challenges identified during testing, such as problems with online connectivity to the MikroTik router and limitations in database storage. The proposed solutions include activating the VPN on MikroTik and enhancing database storage capacity. This research contributes to the development of computer network infrastructure-monitoring systems in educational environments. These findings will lay the groundwork for other educational institutions to enhance the efficiency of network monitoring and maintenance in schools.
Automated Academic Supervisor Allocation Using the C4.5 Decision Tree Algorithm: A Scalable Web-Based Solution Maulani, Nike; Farell, Geovanne; Hadi, Ahmaddul; Irfan, Dedy; Alzyoud, Mazen; Nikolaevna, Sharshova Regina
Journal of Hypermedia & Technology-Enhanced Learning Vol. 3 No. 1 (2025): Journal of Hypermedia & Technology-Enhanced Learning—Digital Revolution
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.165

Abstract

Efficient allocation of academic supervisors is a critical yet challenging process in higher education, often hindered by mismatches in expertise and uneven workload distribution. This study introduces a web-based recommendation system leveraging the C4.5 decision tree algorithm to address these issues. The system generates data-driven, accurate recommendations by assessing supervisor expertise, workload, and alignment with student research topics. The system emphasizes scalability and modularity and was developed using the Laravel framework and following the waterfall development model. Functional testing demonstrated a 96.7% accuracy rate for recommendations, while usability testing reflected high user satisfaction, with an average score of 92% for ease of use and relevance. These results highlight the system’s effectiveness in optimizing supervisor assignments, enhancing administrative efficiency, and providing a scalable solution for educational institutions. Future work will further integrate diverse data sources and AI-driven features to improve adaptability and responsiveness to evolving academic demands.
Co-Authors Abdul Habib Arrasyidi Desky Adek Putri Agariadne Dwinggo Samala Al-Ayyubi, Andi Sultan Alde, Ghenta Alif Alfajri Yusra Alzyoud, Mazen Andhika Herayono Andre Agasi Ariandi Hidayat Aryo Widityo Prabowo Asep Irawan Asmara, Delvi Asrul Huda Astry Yulinda Elfani Aulia, Mikratul Azella Septary Bayu Pratama, Bayu Bayu Ramadhani Fajri Budayawan, Khairi Budayawan, Khairi Chairana, Syalma Audhia Claudia Gusra Dedy Irfan Delsina Faiza Denny Kurniadi Dharma Liza Said Diana Fitri Dina Febrianti Dodis Saufitro Dony Novaliendry Erianjoni Erianjoni Fachri Ahmad Fadel Muhammad Fadhila, Fajri Fathur Rahman Firmansyah Firmansyah Ganefri . Geovanne Farell Hadi Kurnia Saputra Hanif, Asnita Hasim, Abdul Igor Novid Ika Parma Dewi Isworo Nugroho Ivaldo Saputra Ivon Satria Jayadi, Ridho Dimas Tri Prasetyo Khalilul Afwan Kurnia Saputra, Hadi Kurniadi, Denny Lismin Dirwanto M. Kamal Mardiana Putri Sisi Maulani, Nike Mira Hasti Hasmira Muhammad Arsyad Muhammad Rasyid Ridha MUHAMMAD YUSUF Muhammad Zuharmando Ghaffara Muliyati, Muliyati Mursyida, Lativa Nikolaevna, Sharshova Regina Noval Yusri Yandi Prima, Nadya Putra, Wahyu Permana Putrie Fortuna RGP Rabbynawa, Glody Syah Ramadhan, Ilhamdi Refdinal Resmi Darni Resmidarni, Resmidarni Rezqy Ondrizal Rido Wahyudi Rinto Ardi Rizal Akhiar Ramadhan Rizky Nafarel Sidiq Salsabila, Unik Hanifah Santi, Titen Darlis Saputra, Ivaldo Saputri, Sindi Siti Hartina Sonia Saputri Sukaya Sukaya Syafrijon , Syafrijon Syafrijon, Syafrijon Syukhri Syukhri Syukhri, Syukhri Titi Sri Wahyuni Welyansyah Maredy Putra Willy Winas Permata Windiani Yuniar Witno Vita Sari Yasdinul Huda Yeka Hendriyani Yulirismayenti Zulhendra