Joint Workshop KO2PI and The 1st International Conference on Advance & Scientific Innovation

Research Article

Forecasting Water Loss Due To Pipeline Leakage By Using ANFIS And BACKPROPAGATION Approach (Study Case At PDAM Tirta Kahuripan On District of Bogor)

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  • @INPROCEEDINGS{10.4108/eai.23-4-2018.2277589,
        author={Harry Dhika and Achmad Daengs GS and Erlin Windia Ambarsari},
        title={Forecasting Water Loss Due To Pipeline Leakage By Using ANFIS And BACKPROPAGATION Approach (Study Case At PDAM Tirta Kahuripan On District of Bogor)},
        proceedings={Joint Workshop KO2PI and The 1st International Conference on Advance \& Scientific Innovation},
        publisher={EAI},
        proceedings_a={ICASI},
        year={2018},
        month={7},
        keywords={pdam water loss anfis backpropagation},
        doi={10.4108/eai.23-4-2018.2277589}
    }
    
  • Harry Dhika
    Achmad Daengs GS
    Erlin Windia Ambarsari
    Year: 2018
    Forecasting Water Loss Due To Pipeline Leakage By Using ANFIS And BACKPROPAGATION Approach (Study Case At PDAM Tirta Kahuripan On District of Bogor)
    ICASI
    EAI
    DOI: 10.4108/eai.23-4-2018.2277589
Harry Dhika1,*, Achmad Daengs GS2, Erlin Windia Ambarsari1
  • 1: Department of Technic And Computer Science, Indraprasta PGRI University, Jl. Nangka No. 58 C (TB Simatupang) Jagakarsa, Jakarta, 12530, Indonesia
  • 2: Department of Management, University of 45 Surabaya, Jl. Mayjen Sungkono no 106, Surabaya, 60256, East Java, Indonesia
*Contact email: dhika@unindra.ac.id

Abstract

In urban areas, water supply using pipeline system from the company of water supply; the name is PDAM (Perusahaan Daerah Air Minum) which provides services to the public to ensure clean water quality as health requirements. The one of a problem in PDAM is the high rate of water loss caused by pipeline leakage. Pipeline leakage is an important issue as resulting in financial losses, for both PDAM (water provider) and customers. Based on a previous study of, the area that allows the greatest pipe leakage such as Geledug-Leuwiliang and Cibungbulang-Ciampea, the reason is a complex volcanic rocks formation. Then this study has to continue by forecasting water loss per month up to 2017 to look at the frequency of water loss for immediate repair in handling pipeline leakage. Predicting to be done using ANFIS method and then it will test again with Backpropagation to check the error rate so that the data will be more accurate; where is the area in this study is Geledug-Leuwiliang (greatest pipeline leakage). The result is most likely due to visible leaks such as crack pipe caused by complex volcanic rocks formation (31.8% with error rate 1%). Therefore the effort made is to replace the leaky pipes which then do further study on the material used by the tube that is following the pipe area that planted.