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All Journal Jurnal Teknik Sipil RACIC : Rab Construction Research JUTEKS - Jurnal Teknik Sipil Borneo Engineering: Jurnal Teknik Sipil Jurnal Pengabdian kepada Masyarakat Indonesian Community Journal Journal of Natural Science and Technology Adpertisi: Bidang Sains dan Teknologi Jurnal Media Teknik Sipil Widya Teknik
Richard Frans
Universitas Atma Jaya Makassar
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Public Health Social Sciences Transportation Other

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PREDIKSI CURAH HUJAN MENGGUNAKAN JARINGAN SARAF TIRUAN DENGAN METODE BACKPROPAGATION Shane Weng; Richard Frans; Vinsensia Paola Prattyni
Jurnal Media Teknik Sipil Vol. 3 No. 2 (2025): Jurnal MeDia Teknik Sipil, Vol. 3, No. 2, 2025
Publisher : Program Studi Teknik Sipil, Fakultas Teknik, Universitas Atma Jaya Makassar

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Abstract

Rainfall is an essential factor in various sectors such as agriculture, water resource management, and hydrometeorological disaster mitigation. The unpredictable and nonlinear characteristics of rainfall patterns make conventional statistical methods less effective for accurate forecasting. This study aims to develop a rainfall prediction model using an Artificial Neural Network (ANN) with the Backpropagation method implemented in MATLAB, and analyze the model’s accuracy and performance based on historical rainfall data. The constructed network architecture consists of four input neurons, twelve hidden neurons, and one output neuron. The training results show that the monthly rainfall model performs more well. The findings indicate that the Backpropagation-based ANN model effectively predicts monthly rainfall and can be used as a decision-support tool for water resource planning and management in the Makassar–Maros region
Co-Authors Endryco Candyawan Ferdianto Tangdililing, Ferdianto Hendry T Kalangi Hendry Tanoto KALANGI Ivana Madeline Diamanta Resky Wagiri Shane Weng Stevy Thioritz Vinsensia Paola Prattyni Yoyong Arfiadi Yuada Rumengan