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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.
Elevating Efficiency: Designing an Integrated E-commerce Platform for Atlanta Sport Store Based on Yii Framework Eltiana, Nia Irma; Saputra, Hadi Kurnia
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.v2i1.111

Abstract

E-commerce has become a dominant trend in buying and selling transactions; however, the Atlanta Sport Store still relies on a manual approach to managing data, marketing, product sales, and generating sales reports. To address this challenge, we propose an innovative e-commerce platform design for the Atlanta Sport Store. The development methodology involved the waterfall method and Unified Modeling Language (UML) modeling. The programming stack includes PHP as the programming language, MySQL as the database management system (DBMS), and XAMPP as the web server, with coding performed through browsers such as Google Chrome. The primary objective of this design is to create an effective e-commerce site, facilitating customers to find information and make product purchase transactions while simplifying store management activities. This e-commerce design not only addresses online sales needs but also optimizes inventory management, transaction reporting, and financial reporting for store owners. This study makes a significant contribution to optimizing business operations through the implementation of an integrated e-commerce solution, opening up opportunities for increased efficiency and competitiveness in the retail sector.
Designing a Desktop Application for Ship Monitoring and AIS Data Storage Based on RTL-SDR and Raspberry Pi Using Python and PyQt Abiraihan, Muhammad; Marta, Rizkayeni; Syukhri; Saputra, Hadi Kurnia
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.v2i2.118

Abstract

This research aims to develop a desktop application for Monitoring Ships and storing data from the Automatic Identification System (AIS) utilizing Realtek Software Defined Radio (RTL-SDR) and Raspberry Pi devices. The development method employed is the waterfall model, using Python and PyQt as the main programming languages. Black-box testing was conducted on the application, covering aspects such as decoding AIS messages, real-time monitoring, historical data storage, and statistical analysis of the data. The test results indicate that the application successfully addresses challenges faced by the simple AIS receiver, achieving the research objectives by accurately decoding AIS messages, monitoring ship journeys in real-time, storing AIS data as historical data, and presenting informative statistical data. Despite some lag, especially on the Raspberry Pi device, the application contributes positively with improved accuracy and functionality. Further evaluation, technological updates, and integration with other devices are expected to enhance the application's performance. The use of Python and PyQt provides a foundation for further development to enhance the quality of ship navigation systems. It is recommended to involve the decoding of other AIS message types in future research and to consider building a ship journey simulation system for an interactive user experience.
SIMPONIS: A Web-Based Student Violation Point Information System for Enhanced Efficiency and Transparency with an Early Warning Feature Livamianti, Rahma; Saputra, Hadi Kurnia; Tasrif, Elfi; Mursyida, Lativa
Journal of Hypermedia & Technology-Enhanced Learning Vol. 2 No. 3 (2024): Journal of Hypermedia & Technology-Enhanced Learning—Tech Harmony
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v2i3.147

Abstract

The Web-Based Student Violation Point Information System (SIMPONIS) was developed to enhance the efficiency and transparency of recording and monitoring student violations at SMA Negeri 1 Ranah Pesisir. This system is designed to replace the previous manual method, which was prone to errors, data duplication, and delays in handling violations. Through SIMPONIS, guidance counselors can record and monitor student violation points in real-time and provide accurate reports to students and parents. The system integrates an Early Warning Feature that alerts users when a student’s violation points reach a critical threshold, allowing for corrective actions to be taken promptly. The system was tested using the black box method, ensuring that all functions operate as expected. The test results show that SIMPONIS provides an effective solution for managing student violation data, increases parent involvement in monitoring their children, and simplifies the administrative tasks of guidance counselors. Therefore, this system has the potential to be implemented more broadly in other educational institutions.
IoT-Enabled Smart Fence: Remote Security and Monitoring Using NodeMCU ESP32 and Blynk Syahrani, Fadhilah Putri; Saputra, Hadi Kurnia; Anori, Sartika; Agustiarmi, Winda; Ayasrah, Firas Tayseer; Thanh, Pham Van
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.158

Abstract

The Internet of Things (IoT) has transformed home security by enabling automated remote monitoring and control systems. This study presents an IoT-enabled smart fence prototype that utilizes the NodeMCU ESP32 microcontroller and the Blynk application to provide secure, efficient remote gate operations. The system allows users to remotely open, close, and lock gates via mobile devices, addressing the limitations of traditional manual methods. Core components include ultrasonic sensors for real-time obstacle detection, relays, and motors, all integrated into a robust hardware-software framework. Testing revealed consistent system responses within two seconds under stable network conditions, with accurate obstacle detection ensuring the safety zone is maintained. Despite network stability challenges, the system is practical, user-friendly, and scalable for residential security applications. Future improvements could incorporate dual connectivity options to enhance network resilience and advanced sensor calibration to improve reliability across varied environments. This cost-effective prototype demonstrates significant potential for modern smart home security applications and future advancements.