Fitsbot (Fire Detection Smart Robot) Innovation in the Development of Drone Technology in Mitigation of Peat Forest Fire

Darmono; Sahid  Ramandhani; Yanuar Agung  Fadlullah; Khakam  Ma’ruf; Surono

doi:10.55927/eajmr.v2i6.4442

Authors

Darmono Yogyakarta State University
Sahid Ramandhani Yogyakarta State University
Yanuar Agung Fadlullah Yogyakarta State University
Khakam Ma’ruf Yogyakarta State University
Surono Yogyakarta State University

DOI:

https://doi.org/10.55927/eajmr.v2i6.4442

Keywords:

Quadcopter, Monitoring, YOLO, Forest Fire

Abstract

Indonesia's forests continue to shrink due to forest fires. Indonesia's deforestation rate for 2019-2020 is 115.5 thousand hectares. The use of manual methods for forest monitoring is considered less effective because it requires a long time and a lot of resources. Natural and weather conditions affect the implementation of forest monitoring to prevent forest fires. Based on these problems, the author offers an innovation in FITSBOT (Fire Smart Robot) technology. The research method used is Research and Development (R&D) with the stages of Analysis, Design, Development, Implementation and Evaluation. The result of this research is a quadcopter with integrated artificial intelligence based on YOLO for forest monitoring. This technology is expected to facilitate forest monitoring in order to take preventive measures and early detection of forest fires.

References

Arum, I. S., Ayu, I. G., Rachmi, K., & Najicha, F. U. (2021). Pertanggungjawaban Indonesia Terhadap Pencemaran Udara Akibat Kebakaran Hutan dalam Hukum Internasional. Justitia Jurnal Hukum, 1(6), 38–47.

Fauzi, A. M. (2019). Pemanfaatan pesawat nirawak pada pemadam kebakaran. June. https://doi.org/10.13140/RG.2.2.11058.25284

Manzo-Delgado, L., Franco-Martínez, A., & León-Rojas, G. (2014). Advances in Forest Fire Research. Advances in Forest Fire Research, 6(2), 1743–1748. uri:http://hdl.handle.net/10316.2/34140

Nurkarim, Y. A., Assllia Johar Latifah, & Sayekti Harits Suryawan. (2021). Drone UAV Pemadam Kebakaran Otomatis. TEKNIMEDIA: Teknologi Informasi Dan Multimedia, 1(2), 1–6. https://doi.org/10.46764/teknimedia.v1i2.17

Perkasa, P., & Aguswan, Y. (2014). Penggunaan Drone Untuk Sarana Deteksi Dini Kebakaran Lahan dan Hutan. Advances in Forest Fire Research, 6(2), 1743–1748. uri:http://hdl.handle.net/10316.2/34140

Prasanta, M. R., Pranata, M. Y., Firnanda, M. A., & Sendari, S. (2022). Rancang Bangun Quadcopter Drone Untuk Deteksi Api Menggunakan YOLOv4. Cyclotron, 5(1). https://doi.org/10.30651/cl.v5i1.10013

Wasis, B., Saharjo, B. H., & Waldi, R. D. (2019). Dampak Kebakaran Hutan Terhadap Flora Dan Sifat Tanah Mineral Di Kawasan Hutan Kabupaten Pelalawan Provinsi Riau. Journal of Tropical Silviculture, 10(1), 40–44. https://doi.org/10.29244/j-siltrop.10.1.40-44