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Sistem Pendukung Keputusan dalam Merekomendasikan Unit Terbaik di PDAM Tirta Lihou Menggunakan Metode Promethee

Decision Support System in Recommending Best Unit in PDAM Tirta Lihou Using Promethee Method

Department of Information System, STIKOM Tunas Bangsa Pematangsiantar, Indonesia

Received: 3 Aug 2017; Published: 31 Oct 2017.
Open Access Copyright (c) 2017 Jurnal Teknologi dan Sistem Komputer under http://creativecommons.org/licenses/by-sa/4.0.

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Abstract

This research aims to develop decision support system in determining the best production unit in PDAM Tirta Lihou, Simalungun District. The research data were sourced from the institution in 2014. The alternatives used were 34 units of production and 6 criteria as the ranking of the best production unit such as the criteria for selling of water supply (C1), evaluation of arrears achieved (C2), evaluation of leakage rate (C3), running bill evaluation (C4), number of new customers (C5) and sales / use of water per customer (C6). The method used in this research was Promethee. The research showed that the best unit in PDAM Tirta Lihou was the Tanah Jawa unit with Net Flow 0.16274. With this system, agency leaders can produce a better decision to select the best unit in a more objective way.

(The data set and data results in this study are available in the supplementary section available online and downloadable)

Note: This article has supplementary file(s).

Fulltext View|Download |  Data Set
Dataset Penelitian SPK Unit PDAM Tirta Lihou Terbaik
Subject Dataset penelitian (penjualan rekening, tunggakan air, tingkat kebocoran, tagihan berjalan, jumlah sambungan baru, dan penjualan air) dan hasil olah data
Type Data Set
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Keywords: decision support system; best unit recommendation; Promethee method; PDAM performance assessment
Funding: AMIK Tunas Bangsa Pematangsiantar

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Section: Original Research Articles
Language : ID
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    Ramayani Yusuf, Fenny Damayanti, P Purnomo, Aep Tata Suryana, Dewi Kartikaningsih, Agus Perdana Windarto, Ari Waluyo. Journal of Physics: Conference Series, 1783 , 2021. doi: 10.1088/1742-6596/1783/1/012019