Decision Support System Election Municipal Waterworks Customer Class Rates

Muhammad Syaukani, Nia Rizki Ma’rifah

Abstract


The selection of customer class rates in the Banjarmasin City Municipal Waterworks (PDAM) has been made by calculating each indicator value and criteria that have been surveyed by PDAM officers for potential water customers. The calculation is processed in a simple way besides the number of measures assessed so that it requires the time and process of the assessment. To avoid dissatisfaction with potential drinking water customers, a tool in the form of a decision support system is needed. This study aims to develop a decision support system for the customer class rate selection using the Eckenrode and TOPSIS methods. The test was conducted as many as 70 data samples to determine the accuracy and sensitivity of the system developed. The results of the experiment showed that the accuracy value was 95%, and the sensitivity value was 93%. The results of this research conclude that the Eckenrode and TOPSIS methods can be applied both in the development of a decision support system for the customer class rate.

Keywords


DSS; PDAM; Eckenrode; TOPSIS

Full Text:

PDF (Indonesian)

References


.Sari, I. P. T. P. (2014). Tingkat Pengetahuan Tentang Pentingnya Mengkonsumsi Air Mineral Pada Siswa Kelas IV di SD Negeri Keputran A Yogyakarta. Jurnal Pendidikan Jasmani Indonesia, 10(2).

.Noh, J. (2019). Penerapan Metode Naive Bayes Untuk Penentuan Golongan Pelanggan Air Minum Pada Perusahaan Daerah Air Minum (Study Kasus Pada PDAM Ake Ga’ale Ternate. DINTEK, 12(2), 68-75.

.Widarma, A., & Kumala, H. (2018). Sistem Pendukung Keputusan Dalam Menentukan Pengguna Listrik Subsidi Dan Nonsubsidi Menggunakan Metode Fuzzy Mamdani (Studi Kasus: PT. PLN Tanjung Balai). JurTI (Jurnal Teknologi Informasi), 2(2), 165-171.

.Muryani, S. (2019). Decision Support System Untuk Menetapkan Daya Listrik Bagi Pelanggan PLN. Jurnal Perspektif, 17(1), 22-27.

.Jihad, M. A. (2019). Pemanfaatan Metode Technique For Order Preference By Similiarity To Ideal Solution (TOPSIS) Untuk Menentukan Pelanggan Terbaik. Jurnal Informasi dan Komputer, 7(1), 1-6.

.Saaty, T. L. (2001). Decision making for leaders: the analytic hierarchy process for decisions in a complex world. Forth edition. University of Pittsburgh: RWS Publications.

.Li, X., & Li, D. (2011). TOPSIS method for Chinese college teacher performance appraisal system with uncertain information. AISS: Advances in Information Sciences and Service Sciences, 3(6), 59-64.

.Tzeng, G. H., & Huang, J. J. (2011). Multiple attribute decision making: methods and applications. CRC press.

.Lahby, M., Cherkaoui, L., & Adib, A. (2012). New multi access selection method based on mahalanobis distance. Applied Mathematical Sciences, 6(53-56), 2745-2760.




DOI: http://dx.doi.org/10.30700/jst.v10i2.973

Article Metrics

Abstract view : 28 times
PDF (Indonesian) - 24 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Badan Pengelola Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (SISFOTENIKA) STMIK Pontianak.

 

Jurnal Ilmiah SISFOTENIKA terindex di :


   

   

  

    

    

    

   

 

 

 

ISSN Printed : 2087-7897

ISSN Online : 2460-5344


SERTIFIKAT PENGHARGAAN :

Jurnal Ilmiah SISFOTENIKA Terakreditasi Peringkat Empat

 

Partners & Co-Organizers:




Lisensi Creative Commons

Jurnal Ilmiah SISFOTENIKA: STMIK Pontianak Online Journal ISSN Printed (2087-7897) - ISSN Online (2460-5344) licensed under a Lisensi Creative Commons Atribusi 4.0 Internasional. Flag Counter

View My Stats>