Extreme Learning Machine for Hourly Water Level Forecast in Madura Coastal Area

Imam Wahyudi Farid, Eko Salaudin, Saka Bimantara, Aurelya Nabila Putri, Rahma Alya Nurfathia, Mokhamad Nur Cahyadi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Water level forecasting is an essential thing for PT. Garam. This is closely related to the position of the sluice gate to enter raw materials for making salt. Therefore, placing water gates in the coastal area is essential in maximizing the incoming raw materials. Extreme learning machine (ELM) is used to get the maximum water level forecasting value in hourly period. In this study, data distribution is the main point that is the focus of the discussion. The MSE and RMSE values are calculated to get minor deals for the training and testing processes. The most significant results obtained for the two statistical errors are 0.1141 and 0.3377.

Original languageEnglish
Title of host publication2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages403-406
Number of pages4
ISBN (Electronic)9781665455121
DOIs
Publication statusPublished - 2022
Event5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022 - Virtual, Online, Indonesia
Duration: 8 Dec 20229 Dec 2022

Publication series

Name2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022

Conference

Conference5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022
Country/TerritoryIndonesia
CityVirtual, Online
Period8/12/229/12/22

Keywords

  • Coastal Area
  • ELM
  • Hourly
  • Water Level
  • forecast

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