Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs Indonesia

  • Aji Setiawan Darma Persada University
  • Jordan Nur Akbar

Abstract

Decision Support System can be an alternative solution to determine the candidate's decision. Bantuan Pangan Non-Tunai (BPNT) are selected based on criteria determined by the Ministry of Social Affairs of the Republic of Indonesia. BPNT recipients are conducted by the government to help someone who is less able to meet their daily needs.  The occurrence of errors in determining the eligibility of prospective beneficiaries is a major problem, based on these problems there needs to be an information system that can provide a valid BPNT recommendation and one of which uses a grouping method with the Fuzzy C-Means (FCM) algorithm. System development using the waterfall method. The results of system implementation and testing showed that 90% of the system was following what was expected according to the results of the test with the system being built.

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References

Badan Pusat Statistik, “Kemiskinan dan Ketimpangan,” Badan Pusat Statistik - Kemiskinan dan Ketimpangan, 2019.

B. A. Alyoubi, “Decision Support System and Knowledge-based Strategic Management,” in Procedia Computer Science, 2015. DOI: https://doi.org/10.1016/j.procs.2015.09.079

S. L. Chan and W. H. Ip, “A dynamic decision support system to predict the value of customers for new product development,” Decis. Support Syst., 2011. DOI: https://doi.org/10.1016/j.dss.2011.07.002

J. Mysiak, C. Giupponi, and P. Rosato, “Towards the development of a decision support system for water resource management,” Environ. Model. Softw., 2005. DOI: https://doi.org/10.1016/j.envsoft.2003.12.019

H. Navarro-Hellín, J. Martínez-del-Rincon, R. Domingo-Miguel, F. Soto-Valles, and R. Torres-Sánchez, “A decision support system for managing irrigation in agriculture,” Comput. Electron. Agric., 2016. DOI: https://doi.org/10.1016/j.compag.2016.04.003

M. Nourinejad and M. J. Roorda, “A dynamic carsharing decision support system,” Transp. Res. Part E Logist. Transp. Rev., 2014. DOI: https://doi.org/10.1016/j.tre.2014.03.003

T. Velmurugan and T. Santhanam, “A comparative analysis between K-Medoids and fuzzy C-Means clustering algorithms for statistically distributed data points,” J. Theor. Appl. Inf. Technol., 2011.

Yohanes, “Analisis Perbandingan Algoritma Fuzzy C-Means dan K-Means,” Annu. Res. Semin. 2016, 2016.

A. Mulyanto and R. S. Wahono, “Penerapan Gravitational Search Algorithm untuk Optimasi Klasterisasi Fuzzy C-Means,” J. Intell. Syst., 2015.

R. M. Awangga, S. F. Pane, and K. Tunnisa, “Collaboration FMADM And K-Means Clustering To Determine The Activity Proposal In Operational Management Activity,” Emit. Int. J. Eng. Technol., 2019. DOI: https://doi.org/10.24003/emitter.v7i1.317

R. Suganya and R. Shanthi, “Fuzzy C-Means Algorithm-A Review,” Int. J. Sci. Res. Publ., 2012.

A. Powell-Morse, “Waterfall Model: What Is It and When Should You Use It?,” Airbrake, 2016. .

R. J. Wieringa, “Entity-Relationship Diagrams,” in Design Methods for Reactive Systems, 2007.

Published
2019-12-01
How to Cite
Aji Setiawan, & Akbar, J. N. (2019). Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs Indonesia. EMITTER International Journal of Engineering Technology, 7(2), 559-569. https://doi.org/10.24003/emitter.v7i2.444
Section
Articles