Prediksi Volume Penyaluran Air Minum Kota Salatiga Tahun 2021 Berdasarkan Time Data Series Menggunakan Regresi Linear
Article Sidebar
Main Article Content
Abstract
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
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
An author  who publishes in the  Jurnal Manajemen Teknologi agrees to the following terms:
- Author retains the  copyright and grants the journal the right of first publication of  the work simultaneously licensed under the Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Author is  able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book)with the  acknowledgement of its initial publication in this journal.
- Author is  permitted and encouraged to post his/her  work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).
Jurnal Ekonomi Manajemen Teknologi (EMT) KITA by http://journal.lembagakita.org/index.php/emt/index is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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.