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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) The Indonesian Journal of Computer Science
Alfiansyah, Agung
Universitas Prasetiya Mulya
Computer Science & IT Electrical & Electronics Engineering Engineering

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Design and Development of a Hybrid Tricopter Fixed-Wing UAV for Precision Agriculture Febrianto, Rokhmat; Yeoh, Jessie Charydon; Putra, I Gede Arinata Kusuma; Sasmito, Ayomi; Alfiansyah, Agung
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4489

Abstract

Precision Agriculture (PA) relies on innovative technologies to enhance efficiency and sustainability in agricultural practices. This study focuses on the design, simulation, and evaluation of a Hybrid Tricopter VTOL UAV tailored for PA applications. The UAV combines hover and fixed-wing flight modes, enabling versatility in data collection and farmland monitoring. Through rigorous simulations, the hover mission demonstrated the effectiveness of PID controllers in stabilizing roll, pitch, and yaw dynamics, achieving high positional accuracy with minimal error rates. The transition mission validated the UAV’s adaptability, showcasing smooth transitions between flight modes under varying tilt rates. Additionally, electronic component simulations confirmed the propulsion system operates efficiently within thermal and electrical limits, ensuring durability and energy efficiency. The findings highlight the UAV’s reliability, adaptability, and operational readiness, laying a foundation for advanced UAV applications in PA and beyond. This work underscores the potential of UAVs in optimizing agricultural productivity and sustainability.
A practical approach to Candi Siwa 3D reconstruction with COLMAP and Nerfstudio Helena Widiarti; Rokhmat Febrianto; Agung Alfiansyah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 1: February 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i1.27212

Abstract

We demonstrate a practical approach for large-scale object three-dimensional (3D) reconstruction with freely available frameworks, COLMAP and Nerfstudio. We performed the reconstruction of a temple named Candi Siwa, located at Prambanan Site, which is situated between Central Java and Yogyakarta Province, Indonesia. We utilized COLMAP and Nerfstudio as platforms for 3D reconstruction from images captured by an everyday smartphone. In the 3D model construction process, COLMAP generates a dense point cloud, whereas Nerfstudio generates a scene from source images. We selected 96 images of Candi Siwa to perform reconstruction using COLMAP. As a result, a 3D model for the temple with a clear structure and color was observed. A scene rendered in MP4 format was also generated using Nerfstudio. Additionally, we performed the 3D reconstruction from 150 images taken by the public and found them insufficient for constructing the object. This occurred despite the number of images being larger than those used in the previous reconstruction. The results indicate that the success of a crowdsourcing project for reconstructing a large-scale object should consider not only the number of images but also the variation in point of view and the completeness of the whole structure.
Co-Authors Ayomi Sasmito Helena Widiarti Putra, I Gede Arinata Kusuma Rokhmat Febrianto Yeoh, Jessie Charydon