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

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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.
Time Series Forecasting for Average Temperature with the Long Short-Term Memory Network in Deli Serdang Geophysics Station Nora Valencia Sinaga; Feriomex Hutagalung; Martha Manurung; Eva Darnila
Journal of Computation Physics and Earth Science (JoCPES) Vol 1 No 2 (2021): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/x2tzpb02

Abstract

An understanding of trends analysis, and prediction of time series of average temperature as one of parameter weather and climate data for climate variables. It is the central process in assessing the state of the climate of a region and provides an overall estimate about the variations in the climate variables. Explore weather trends using normal and local yearly average temperatures, compare and make observations. In this study, we try to analyze local and normal average temperature data in Deli Serdang geophysc Station based on observation station in situ. The main goal of this study to compare the normal temperature to local station and to predict the average temperature data in BMKG Geophysics Station, Deli Serdang, North Sumatra using Long Short-Term Memory Model (LSTM). Based on the result of normal data science of exploring temperature with local temperature correlation, we got the display of training curve, residual plot and the scatter plot are shown using these codes. Based on the temperature series data from Geophysic station, the MSE value is 0.83 and the R2 value is 0.86.
Co-Authors Endah Paramita Eva Darnila Feriomex Hutagalung Ilham Junaedi Martha Manurung Sri Wahyuni Syahrul Humaidi