Article Per Year (5 Year)
p-Index From 2019 - 2024
1.564
P-Index
This Author published in this journals
All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Dinamisia: Jurnal Pengabdian Kepada Masyarakat Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal ICT : Information Communication & Technology Dedikasi Sains dan Teknologi (DST) Jurnal J-PEMAS Internet of Things and Artificial Intelligence Journal Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS The Indonesian Journal of Computer Science
Budy Satria
Institut Teknologi Mitra Gama
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JITK (Jurnal Ilmu Pengetahuan dan Komputer)

 1 
RAINFALL PREDICTION USING MULTIPLE LINEAR REGRESSION ALGORITHM Mulia Sulistiyono; Acihmah Sidauruk; Budy Satria; Raditya Wardhana
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 9 No 1 (2023): JITK Issue August 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i1.4203

Abstract

Indonesia is a tropical region with ever-changing weather changes. It is necessary to conduct a research on weather prediction as a decision making regarding weather information that will occur in the future. Rainfall is one of the factors that cause changes in weather in an area. This research was conducted on the climate in the Yogyakarta region in the form of mountains and lowlands causing differences in rainfall. The variables that are used to make predictions are several parameters that affect rainfall, namely temperature, humidity, wind speed and duration of solar radiation. These 5 variables are processed through the data obtained then carried out research and comparisons with the previous data. Multiple linear regression is the algorithm used. This algorithm is one of the machine learning techniques by making rainfall data as the dependent variable and other parameters as independent variables. This study uses Yogyakarta City, Central Java climate data for 2010-2020. The results obtained are an R2 score of 12.99%. Prediction of rainfall is obtained at 14.41778516. Then the RMSE evaluation resulted in a deviation between predicted rainfall and actual rainfall of 14.78316110508722. Based on these results, it shows that there is light rain because it is in the intensity category of 5 mm – 20 mm/day.
Co-Authors Abdussalam Al Akbar Acihmah Sidauruk Adi Prastya Afifah Nur Latifah Alex Rizky Saputra Alimuddin Yasin Andi Prayogi Astiti, Sarah Budi Permana Putra Chalida Hanum Darmansah Darmansah Dori Gusti Alex Candra Elfitra Elsa Elvira Awal Hafiz Mursalan Irman Efendi Irzon Meiditra Leonard Tambunan Muhammad Akbar Syahbana Pane Mulia Sulistiyono Nurcholis, Muhammad Tofa Nurdi Afrianto Raditya Wardhana Ratu Mutiara Siregar Resad Setyadi Sepriano Sepriano Teuku Radillah Teuku Radillah Tomy Nanda Putra Yessi Ratna Sari