ANALISIS DATA BMKG KOTA PALEMBANG MENGGUNAKAN METODE MULTILAYER PERCEPTRON

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Published: 2021-10-20
Keywords:
Data Analysis, BMKG, Weather, Palembang City, Multiplayer Preceptron
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Afaldo Santoso

Abstract

Weather is an important factor that can influence many things. The ability to predict the weather is one of the most important things that is very useful in various fields and can change the course of people's daily lives. Therefore, it is very important to be able to forecast the weather because weather is one of the important factors in planning. The project undertaken in this report is a forecasting project using historical weather data obtained from the BMKG website. In this project, forecasts will be made for two variables, namely Tn (minimum temperature) and Tx (maximum temperature). The forecasts will use the multilayer perceptron method and will be made for a period of one year, which will be tested using data also taken from the BMKG website. The training data used is weather data for the city of Palembang from 2010 to 2018, and testing will be conducted on data from 2019. The results of this project will be forecasts and evaluations of the forecasts of two weather data variables for the city of Palembang for 2019 using multilayer perceptron.

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Vol. 16 No. 2 (2021): Jurnal Komputer dan Informatika

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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