The Best Public Health Center Selection Decision Support System Using Simple Additive Weighting (SAW) and Weighted Product (WP) Methods

https://doi.org/10.55529/jaimlnn21.9.26

Authors

  • Agus Irawan Program Studi Sistem Informasi, STMIK Pringsewu, Lampung, Indonesia.
  • Sri Ipnuwati Program Studi Sistem Informasi, STMIK Pringsewu, Lampung, Indonesia.
  • Azhari Tardiansyah Program Studi Sistem Informasi, STMIK Pringsewu, Lampung, Indonesia.
  • Andino Maseleno Program Studi Sistem Informasi, STMIK Pringsewu, Lampung, Indonesia.

Keywords:

Community Health Center, Decision Support System, SAW, WP.

Abstract

Permenkes 43 of 2019 concerning Public Health Center (bahasa: Puskesmas) states that Puskesmas are Health Service Facilities (Faskes). Health center services in Indonesia are currently not fully in accordance with the regulations that have been made. In particular, the puskesmas in Pagelaran District, Pringsewu Regency, Lampung. Therefore, in this study, an assessment of the best health centers in Pagelaran District will be made. To realize the assessment of the best Puskesmas in Pagelaran sub-district, a research was carried out using a Decision Support System (DSS). In this case, the method used is the SAW and WP method, which is a method that uses weighted summation. In the process of collecting data using the literature study method, and taking several criteria and alternatives. With 5 criteria, namely medical equipment, location, facilities and infrastructure , medical personnel , and health services, while the alternatives taken were 5 health centers, namely UPT Puskesmas performances, Outpatient Health Center for Performances, Puskesmas Bumi Ratu, UPT Puskesmas Fajar Mulia, Puskesmas way Ngison. From the calculations carried out, the highest results or values are obtained, namely alternative 1 (A1) with a value of V1 = 94 for the SAW method and V1 = 0.22 for the WP method. Of the 5 alternatives tested with 4 criteria, the Puskesmas which is considered the best Puskesmas is A1 (UPT Puskesmas Pagelaran).

Published

2022-01-02

How to Cite

Agus Irawan, Sri Ipnuwati, Azhari Tardiansyah, & Andino Maseleno. (2022). The Best Public Health Center Selection Decision Support System Using Simple Additive Weighting (SAW) and Weighted Product (WP) Methods. Journal of Artificial Intelligence,Machine Learning and Neural Network , 2(01), 9–26. https://doi.org/10.55529/jaimlnn21.9.26