Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 2, No 1 (2020)

Rain Prediction Using Rule-Based Machine Learning Approach

Muchamad Taufiq Anwar (Universitas Stikubank)
Saptono Nugrohadi (Universitas PGRI Semarang)
Vita Tantriyati (Universitas Kristen Satya Wacana)
Vikky Aprelia Windarni (Universitas Amikom Yogyakarta)



Article Info

Publish Date
01 May 2020

Abstract

Rain prediction is an important topic that continues to gain attention throughout the world. The rain has a big impact on various aspects of human life both socially and economically, for example in agriculture, health, transportation, etc. Rain also affects natural disasters such as landslides and floods. The various impact of rain on human life prompts us to build a model to understand and predict rain to provide early warning in various fields/needs such as agriculture, transportation, etc. This research aims to build a rain prediction model using a rule-based Machine Learning approach by utilizing historical meteorological data. The experiment using the J48 method resulted in up to 77.8% accuracy in the training model and gave accurate prediction results of 86% when tested against actual weather data in 2020.

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Journal Info

Abbrev

asset

Publisher

Subject

Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology

Description

This journal aims to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of science, engineering, and ...