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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Computer Science and Informatics Engineering (J-Cosine)
Misbahuddin
University of Mataram
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Materials Science & Nanotechnology Physics

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STUDI PENGEMBANGAN APLIKASI MEDIA PEMBELAJARAN ANATOMI SKELETAL PADA VIRTUAL REALITY MENGGUNAKAN RAPID APPLICATION DEVELOPMENT Giri Wahyu Wiriasto; Misbahuddin; A. Sjamsjiar Rachman; Ida Lestari Harahap; L. Syamsul Irfan Akbar; M. Syamsu Iqbal; Muhamad Fikriansyah
Jurnal Penelitian Pendidikan IPA Vol 10 No 8 (2024): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i8.8722

Abstract

The use of innovative multimedia technology continues to evolve and has now become a primary technology tool in education. Currently, the utilization of virtual reality (VR) technology is being used as an immersive medium for learning, especially in the field of medicine. Immersive technology is presented in 3D visualization, approaching real and relevant objects in medical education as an alternative to traditional teaching aids such as cadavers. In this research, an exploration of the VR environment was conducted in a case study of the skeletal system using 3D skull bone objects. The exploration involved tasks such as preparing the 3D skull bone object data assets in the 3D development environment, exporting data assets to the 3D-VR environment, and configuring aspects related to visualization and object control based on visual C#. So far, documentation of the 3D-VR application development environment and the trial results of the case study object development on the Unity platform have been produced. Additionally, documentation of the interface design application using Rapid Application Development (RAD) has also been generated. The Android-based VR application has functioned well in accommodating the skull object, designed with 3 layers of the skeletal system adjusted to their respective depths. The skull consists of 22 components, including cranium.
Implementation of Static Routing with Path Redundancy on LoRa SX1276 and ESP32 Based on Graph Theory L. Ahmad Syamsul Irfan Akbar; Misbahuddin; Muhamad Syamsu Iqbal; A. Sjamsjiar Rachman; Giri Wahyu Wiriasto; Djul Fikri Budiman; Made Sutha Yadnya
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.701

Abstract

The rapid development of the Internet of Things (IoT) has increased the demand for energy-efficient wireless communication systems and others under various environmental conditions. LoRa (Long Range) technology has attracted considerable attention due to its ability to support long-distance transmission with low power consumption. However, most existing LoRa network implementations rely on single-hop or non-redundant statistical routing to the gateway point, making them vulnerable to link degradation or node failure. This study enhances the statistical routing mechanism with path redundancy implemented on an ESP32 microcontroller and an SX1276 LoRa transceiver module to improve communication transmission. The network topology is modeled using graph theory, where each node is represented as a vertex and communication paths are represented as weighted edges based on the Received Signal Strength Indicator (RSSI). The primary and backup routes are derived from the minimum-weighted path in the graph. Experimental results show that incorporating path redundancy improves the packet delivery ratio (PDR) and maintains communication continuity during primary path quality degradation. The proposed approach demonstrates the feasibility of a reliable multi-hop LoRa network using statistical routing with graph-based path redundancy.
Co-Authors A. Sjamsjiar Rachman Djul Fikri Budiman Giri Wahyu Wiriasto Ida Lestari Harahap L. Ahmad Syamsul Irfan Akbar L. Syamsul Irfan Akbar M. Syamsu Iqbal Made Sutha Yadnya Muhamad Fikriansyah Muhamad Syamsu Iqbal