Forecasting the Amount of Water Discharge Based on the VARIMA Model
DOI:
https://doi.org/10.30812/varian.v8i2.3278Keywords:
MAPE, VARIMA, Water DischargeAbstract
Water is an absolutely necessary substance for every living thing. Clean water is the main requirement for ensuring human health and the environment PT. Air Minum Giri Menang (Perseroda). The purpose of this study is to determine the model and then predict the water discharge of PT. Air Minum Giri Menang using the obtained model which will be useful for the community and agencies so that the management, distribution, and use of clean water are more optimal. The method used in this study is VARIMA (Vector Autoregressive Integrate Moving Average) which can process data for more than one variable. The data used in this study is water discharge data produced and distributed in the period January 2018 to December 2021. The results show that the best model obtained is VARIMA(0,1,1) with model accuracy for water discharge data that produced and distributed based on the MAPE value of 4% and 5% which states that the forecasting results can be categorized as very good. This means that the VARIMA (0,1,1) model has provided very accurate results in predicting water discharge with very small forecasting errors, thus indicating that the model is very effective. Suggestions for further research are look for the alternative forecasting method that are overcome non-stationarity data other than data transformation.
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References
Afriliani, K., Martha, S., & Imro’ah, N. (2022). Model Vector Autoregresive Integrated Moving Average dalam Meramalkan Indeks
Harga Konsumen Kota Pontianak. Bimaster: Buletin Ilmiah Matematika, Statistika dan Terapannya, 11(4), 641–648.
https://doi.org/10.26418/bbimst.v11i4.57332
Amadea, M., & Winarno, A. (2016). Prediksi Produksi Debit Air Minum Per Bulan Dengan Metode Jaringan Syaraf Tiruan Backpropagation
(Studi Kasus: PDAM Tirta Moedal Semarang). JOINS (Journal of Information System), 1(01), 18–26.
https://doi.org/10.33633/joins.v1i01.1169
Asfihani, M. A., & Irhamah, I. (2017). Peramalan Volume Pemakaian Air Di PDAM Kota Surabaya dengan Menggunakan Metode
Time Series. Jurnal Sains dan Seni ITS, 6(1), 150–156. https://doi.org/10.12962/j23373520.v6i1.22978
Hermayani, H., Nohe, D. A., & Fathurahman, M. (2014). Mengatasi Heteroskedastisitas pada Model ARIMA dengan Menggunakan
ARCH-GARCH (Studi Kasus: Indeks Harga Konsumen Provinsi Kalimantan Timur Tahun 2005-2012). EKSPONENSIAL,
5(1), 73–80.
Ikbal, M. (2019). Perbandingan Model Vector Autoregressive Integrated Moving Average dengan Generalized Space Time
Autoregressive Integrated Moving Average untuk Peramalan Volume Pemakaian Air Bersih (Studi Kasus : Kota
Surabaya, Kab. Gresik Dan Kab. Sidoarjo) [Bachelor Thesis]. Universitas Airlangga.
Jannah, W., & Itratip, I. (2016). Kajian Pengolahan dan Distribusi Air Minum PDAM Giri Menang. Jurnal Ilmiah Mandala Education,
2(2), 351. https://doi.org/10.58258/jime.v2i2.699
Jusmawati, J., Hadijati, M., & Fitriyani, N. (2020). Penerapan Model Vector Autoregressive Integrate Moving Average dalam Peramalan
Laju Inflasi dan Suku Bunga di Indonesia. EIGEN MATHEMATICS JOURNAL, 3(2), 73–82. https://doi.org/10.
29303/emj.v3i2.62
Nugroho, A. A.-Z. (2022). Pemodelan Multivariate Time Series dengan Vector Autoregressive Integrated Moving Average
(VARIMA). Jurnal Riset Statistika, 2(2), 93–102. https://doi.org/10.29313/jrs.v2i2.1150
Panjaitan, H., Prahutama, A., & Sudarno, S. (2018). Peramalan Jumlah Penumpang Kereta Api Menggunakan Metode Arima, Intervensi
dan Arfima (Studi Kasus: Penumpang Kereta Api Kelas Lokal EkonomiDAOP IV Semarang). Jurnal Gaussian,
7(1), 96–109. https://doi.org/10.14710/j.gauss.7.1.96-109
Pertiwi, A., Dewi, L. F., Toharudin, T.,&Ruchjana, B. N. (2022). Penerapan Model Vector Autoregressive Integrated Moving Average
(VARIMA) untuk Prakiraan Indeks Harga Saham Gabungan dan Kurs Rupiah terhadap USD. Pattimura Proceeding:
Conference of Science and Technology, 2(1), 431–442. https://doi.org/10.30598/PattimuraSci.2021.KNMXX.431-442
Pratiwi, S., & Herlina, M. (2023). Pengaruh Harga Pangan terhadap Inflasi dengan Metode Vector Autoregressive Integrated Moving
Average. Jurnal Riset Statistika, 3(2), 87–96. https://doi.org/10.29313/jrs.v3i2.2690
Putri, I. D., & Oktaviarina, A. (2024). Penerapan Vector Autoregressive Integrated Moving Average (VARIMA) Pada Prediksi Indeks
Standar Pencemaran Udara. MATHunesa: Jurnal Ilmiah Matematika, 12(2), 364–373. https : / / doi . org / 10 . 26740 /
mathunesa.v12n2.p364-373
Suharsono, A., & Anggraeni, A. D. (2014). Peramalan Penjualan Sepeda Motor Tiap Jenis di Wilayah Surabaya dan Blitar dengan
Model ARIMA Box-Jenkins dan Vector Autoregressive (VAR). Jurnal Sains dan Seni ITS, 3(2), 326–331. https://doi.org/
10.12962/j23373520.v3i2.8071
Sutthichaimethee, P. (2017). Varimax Model to Forecast the Emission of Carbon Dioxide From Energy Consumption in Rubber and
Petroleum Industries Sectors in Thailand. Journal of Ecological Engineering, 18(3), 112–117. https://doi.org/10.12911/
22998993/70200
Wilujeng, F. R. (2018). Faktor–Faktor yang Memengaruhi Optimalisasi Penangkapan Ikan dengan Metode Transformasi Box Cox
pada Regresi Linier Berganda. JIEMS (Journal of Industrial Engineering and Management Systems), 11(1). https:
//doi.org/10.30813/jiems.v11i1.1011
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