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All Journal Journal of Computer System and Informatics (JoSYC)
Dina Maulina
Universitas Amikom Yogyakarta, Yogyakarta
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Kebakaran Hutan Implementasi Metode CLARA Clustering Untuk Pengelompokan Data Potensi Kebakaran Hutan/Lahan Berdasarkan Persebaran Titik Panas (Hotspot) Enni Lidrawati; Saiful Bahri; Umam Faqih Zubaedi; Vinnesa Patricia Carolina; Kusrini Kusrini; Dina Maulina
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2006

Abstract

Forest or land fires are events that often occur in various countries in the world that require serious handling from all parties because they have an impact on all lines of life. Therefore, early treatment is needed, one of which is by grouping fire-prone areas using hotspot data. Hotspots can be obtained by satellite in this study taking hotspots from NASA satellites. The data used are latitude, longitude, brightness and confidence. The method used is the Clara Clustering method because this method has the advantage of being resistant to outliers and can be used in large amounts of data. This study concludes that the Clara method can process 16,579 hotspot data with the best Shilhoutte Coefficient value of 0.89 with 2 clusters while the potential possessed by cluster 1 is included in high potential with an average brightness of 3670K and a confidence value of 1 or hight. Meanwhile, cluster 2 has moderate potential with an average brightness of 3490K and a confidence value of 3 or nominal.
Co-Authors Enni Lidrawati Kusrini Kusrini Saiful Bahri Umam Faqih Zubaedi Vinnesa Patricia Carolina