Jurnal Informatika Kaputama (JIK)
Vol 9 No 2 (2025): Volume 9, Nomor 2, Juli 2025

PREDIKSI KEBUTUHAN AIR PDAM GIRI TIRTA SARI KABUPATEN WONOGIRI MENGGUNAKAN METODE SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA)

PUSPITA, DEVIANA (Unknown)
FITRIYADI, FARID (Unknown)
KHUSNULIAWATI, HARDIKA (Unknown)



Article Info

Publish Date
01 Jul 2025

Abstract

This study aims to predict the clean water needs of PDAM Giri Tirta Sari in Wonogiri Regency using the Seasonal Autoregressive Integrated Moving Average (SARIMA) method. Clean water is a vital necessity for the community, and fluctuations in water demand pose a challenge for PDAM in managing water availability. This study utilized historical data on water usage per month from January 2020 to December 2024, sourced from PDAM operational records. The SARIMA method was chosen because of its avility to handle seasonal time series data. The result show that the best model produced a MAPE value of 8,37%, MAE 50,73 , and RMSE 57,06 . Based on the prediction evaluation standards, an MAPE value <10% is included in the category of high prediction accuracy. The resulting that the demand for clean water uncreases during the dry season. This study is expected to be the basic for planning in water resource management by PDAM.

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Journal Info

Abbrev

JIK

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

Jurnal Informatika Kaputama adalah jurnal resmi STMIK kaputama dalam bentuk bunga rampai untuk menyajikan tulisan ilmiah berbagai disiplin ilmu pengetahuan yang ada hubungan atau keterikatan dengan ilmu komputer berupa hasil penelitian lapangan atau laboratorium maupun studi pustaka. Adapun fokus ...