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Akmilatul Maghfiroh
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Prakiraan Penggunaan Volume Air PDAM Kota Malang Menggunakan Metode Support Vector Regression dengan Ant Colony Optimization Akmilatul Maghfiroh; Agus Wahyu Widodo; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 10 (2019): Oktober 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Water is a very important element in the life of all living things. Humans need water to survive and carry out daily activities. Regional Drinking Water Company (PDAM) is a Regional-Owned Company (BUMD) that provides clean water for every region in Indonesia, one of them is PDAM in Malang. The population continues to grow every year causing an increase in the need for clean water. Considering the increasing need for clean water and limited water sources, PDAM Malang must distribute the water optimally and efficiently so that consumers can fulfill their needs for clean water. Therefore, by forecasting the water volume that can be used, it is hoped that it can help PDAM Malang to estimate the volume of water that needs to be distributed efficiently and on target. Some water forecasting methods such as "An Enhanced Differential Evolution Based Gray Model For Forecasting Urban Water Consumption" has a pretty good MAPE value of 2,285%. Then for the SVR-ACO method used in the research "Support Vector Regression and Ant Colony Optimization for HVAC Cooling Load Prediction" has an NMSE of 0.241.
Co-Authors Agus Wahyu Widodo Yuita Arum Sari