Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Inspiration
Nandang Eko Yulianto
Unknown Affiliation
Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Peramalan Jumlah Titik Api Pada Lahan Gambut Kalimantan Menggunakan Model Zero-Inflated Poisson Regression Muhammad Alkaff; Andry Fajar Zulkarnain; ‪Nurul Fathanah Mustamin; Nandang Eko Yulianto
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol 11, No 2 (2021): Jurnal Inspiration Volume 11 Issue 2
Publisher : STMIK AKBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v11i2.2664

Abstract

Forest fires are a global problem that often occurs in Indonesia, especially during the dry season. One indication of forest fires is the occurrence of hotspots. Monitoring of hotspots is part of the effort to make early warnings of the dangers of forest fires. The island of Kalimantan is an island where most of the land consists of peatlands and is prone to hotspots. The hot, dry season due to sunlight and the lack of rainfall can make peatlands a fire-prone area. This study uses the Zero-Inflated Poisson Regression model to predict the number of hotspots on peatlands by considering climatic factors, namely sun exposure and rainfall. This research was conducted in four square areas (Area-1, Area-2, Area-3, Area-4) with the Tjilik Riwut Meteorological Station as the center point. The study uses hotspot monitoring data from the Terra Satellite owned by NASA (the National Aeronautics and Space Administration) and climate data in the form of data on sun exposure and rainfall from the BMKG (Meteorology, Climatology, and Geophysics Agency). The results show that the Zero-Inflated Poisson Regression model can model the four observed areas quite well with an RMSE of 12.69 in Area-1, Area-2 with an RMSE value of 10.05, RMSE of 11.53 in Area-3, and finally Area-4 with an RMSE value of 16.40.
Co-Authors Fajar Zulkarnain, Andry Muhammad Alkaff Nurul Fathanah Mustamin