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All Journal Journal of Computation Physics and Earth Science
Sri Wahyuni
Indonesian Agency for Meteorological, Climatological and Geophysics
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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Distribusi Spasial dan Implementasi Metode K-Means Clustering pada Titik Panas di Sumatera Utara Sri Wahyuni; Kartika Dewi
Journal of Computation Physics and Earth Science (JoCPES) Vol 1 No 1 (2021): Jurnal Fisika Komputasi dan Ilmu Kebumian
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/x34r7239

Abstract

Hotspots are indicators of forest and land fires. Hotspot monitoring can be carried out with the help of remote sensing tools and geographic information systems. Hotspot data is obtained from the MODIS sensors from the TERRA and AQUA satellites which contain information on latitude and longitude coordinates and the level of confidence divided by three levels, namely low, medium and high confidence levels. Based on the spatial results, the number of hotspots in North Sumatra Regency is in February, March, June, July, and August. Districts that are dominant with hotspots are Karo Regency, Labuhan Batu Regency, Mandailing Natal Regency, Padang Lawas Regency and South Tapanuli Regency. Based on the results, the process of applying the k-means clustering method to the weka application, the data obtained is in the form of a clustered group and the results can be made into indicators in determining hotspots in districts in North Sumatra province per month.
Prakiraan Suhu Rata-rata Berdasarkan Stasiun Deli Serdang Menggunakan Model Long Short-Term Memory Ilham Junaedi; Endah Paramita; Nora Valencia Sinaga; Sri Wahyuni; Syahrul Humaidi
Journal of Computation Physics and Earth Science (JoCPES) Vol 1 No 1 (2021): Jurnal Fisika Komputasi dan Ilmu Kebumian
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/3nqxkj30

Abstract

An understanding of designs and gage of typical temperature joined of parameter climate and climate data for better water resource organization and orchestrating amid a bowl is uncommonly imperative. Examine climate designs utilizing ordinary and neighborhood every year typical temperatures, compare and make discernments. amid this consider, we'll analyze adjacent and conventional typical temperature data in 96031 Station backed recognition station input. the preeminent objective of this considers to appear the execution of the conventional temperature in an exceedingly single station and to predict the ordinary temperature data utilizing the Long memory Illustrate approach. bolstered the comes about of standard informatics of exploring temperature with adjacent temperature relationship, we got the appear of preparing bend, remaining plot, and thus the diffuse plot is showed up utilizing these codes. the decent execution of 96031 Station had a Mean Squared Error esteem of 0.01 and R squared esteem 0.98, concerning zero will speak to superior quality of the indicator.
Visualisasi Indeks Cuaca Kebakaran di Aek Godang Berbasis Pendekatan Machine Learning Kerista Tarigan; Edison Kurniawan; Sri Wahyuni
Journal of Computation Physics and Earth Science (JoCPES) Vol 1 No 1 (2021): Jurnal Fisika Komputasi dan Ilmu Kebumian
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/yws6hw85

Abstract

Forest fires are a major natural issue, making temperate and environmental harm whereas dangering human lives. The examined and study for timberland fire had been worn out Aek Godang, Northern Sumatera, Indonesia. There are 26 hotspots in 2017 near Aek Godang, North Sumatera, Indonesia. In this consider, we utilize an information mining approach to prepare and test the information of woodland fire and Fire Weather Index (FWI) from meteorological information. The point of this ponders to anticipate the burned range and distinguish the woodland fire in Aek Godang ranges, North Sumatera. The result of this considers shown the Fire battling and avoidance movement may be one reason for the watched need of relationship. The reality that this dataset exists demonstrates that there's as of now a few exertions going into fire avoidance.
Co-Authors Edison Kurniawan Endah Paramita Ilham Junaedi Kartika Dewi Kerista Tarigan Nora Valencia Sinaga Syahrul Humaidi