Sherly Amora Jofipasi, Admi Salma, Dodi Vionanda, Dina Fitria
{"title":"Prediction Of Bogor City Rainfall Parameters Using Long Short Term Memory (LSTM)","authors":"Sherly Amora Jofipasi, Admi Salma, Dodi Vionanda, Dina Fitria","doi":"10.24036/ujsds/vol1-iss5/110","DOIUrl":null,"url":null,"abstract":"Bogor is a city that has high rainfall and has erratic rainfall. So it is necessary to predict Bogor's rainfall. Rainfall prediction can be done using the LSTM algorith. In the LSTM algorithm, there are hidden neuron parameters and epochs to produce good results, so it is necessary to predict the best parameters in Bogor rainfall. The prediction parameters results obtained by LSTM have worked well using optimal hidden neuron values of 256, optimal epoch of 150, mape of 1,64, and the comparison of actual data patterns and prediction data already has the same data patterns.","PeriodicalId":220933,"journal":{"name":"UNP Journal of Statistics and Data Science","volume":" 17","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"UNP Journal of Statistics and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24036/ujsds/vol1-iss5/110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Bogor is a city that has high rainfall and has erratic rainfall. So it is necessary to predict Bogor's rainfall. Rainfall prediction can be done using the LSTM algorith. In the LSTM algorithm, there are hidden neuron parameters and epochs to produce good results, so it is necessary to predict the best parameters in Bogor rainfall. The prediction parameters results obtained by LSTM have worked well using optimal hidden neuron values of 256, optimal epoch of 150, mape of 1,64, and the comparison of actual data patterns and prediction data already has the same data patterns.