Prediksi Volume Penyaluran Air Minum Kota Salatiga Tahun 2021 Berdasarkan Time Data Series Menggunakan Regresi Linear
DOI:
https://doi.org/10.35870/emt.v7i2.1031Keywords:
Water, Predicting, Linear Regression, Customer, DataAbstract
One of our most basic needs is water, water needed for the body and the need for cooking, washing, and other needs. Based on the number of customers, this study seeks to predict the volume of water that will be distributed. Valid data must be available for a long time to make accurate predictions. This is the benchmark for predicting patterns that are used to predict the next year, the data taken is a five-year timeframe, which is to predict the next year. A method used to predict, namely linear regression technique. A technique called linear regression is used to determine how close the relationship between the effect variable and the causal variable is. After forecasting, predictive data is generated in 2021, and compared to the previous year, there has been a change in the number of distribution volumes and customers. Where the total volume is predicted to be 4927284 and it is predicted that there will be 282126 customers in 2021.
Downloads
References
Agung Setiawan, Riyanto, E., & Prayogo, A. (2020). Analisa Sistem Distribusi Air Bersih PDAM Purwodadi, Purworejo. Ilmu Teknik Sipil, 2, 30–39. http://jurnal.umpwr.ac.id/index.php/suryabeton/article/view/993/750
Akrom, A., A.R., E., Pramunendar, R. A., & Prabowo, D. P. (2021). Prediksi jumlah produksi air pdam menggunakan metode ann dengan optimasi pso. Jurnal Informatika, 7(2), 55–58.
Arianti, D. (2017). Pengaruh Sektor Pariwisata Terhadap Perekonomian dan Keruangan Kota Bukittinggi (Pendekatan Analisis Input Output). Jurnal Pembangunan Wilayah & Kota, 12(4), 347. https://doi.org/10.14710/pwk.v12i4.13502
Ariyani, N., & Arifin, A. Z. (2021). Prediksi Tingkat Pengangguran Terbuka Kabupaten Tuban dengan Metode Regresi Linier Sederhana. Jurnal UNIROW, 03(01), 6–13.
Deriana, L., & Herawati, H. (2019). Analisis Kehilangan Air Jaringan Distribusi Air Bersih PDAM Tirta Melawi Standar Kebutuhan Air pada Masyarakat. 3, 278–285.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Diva Christalivea, Magdalena A. Ineke Pakereng
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
