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

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 someon...

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Bibliographic Details
Main Authors: Aji Setiawan, Jordan Nur Akbar
Format: Article
Language:English
Published: Politeknik Elektronika Negeri Surabaya 2019-12-01
Series:Emitter: International Journal of Engineering Technology
Online Access:https://emitter.pens.ac.id/index.php/emitter/article/view/444
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spelling doaj-37ec47641fd24af9a4f5efc25228e62d2021-02-03T08:32:55ZengPoliteknik Elektronika Negeri Surabaya Emitter: International Journal of Engineering Technology2355-391X2443-11682019-12-017210.24003/emitter.v7i2.444444Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs IndonesiaAji Setiawan0Jordan Nur AkbarDarma Persada University 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. https://emitter.pens.ac.id/index.php/emitter/article/view/444
collection DOAJ
language English
format Article
sources DOAJ
author Aji Setiawan
Jordan Nur Akbar
spellingShingle Aji Setiawan
Jordan Nur Akbar
Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs Indonesia
Emitter: International Journal of Engineering Technology
author_facet Aji Setiawan
Jordan Nur Akbar
author_sort Aji Setiawan
title Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs Indonesia
title_short Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs Indonesia
title_full Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs Indonesia
title_fullStr Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs Indonesia
title_full_unstemmed Implementation Fuzzy C-Means on Decision Support System BPNT (Bantuan Pangan Non-Tunai) Ministry of Social Affairs Indonesia
title_sort implementation fuzzy c-means on decision support system bpnt (bantuan pangan non-tunai) ministry of social affairs indonesia
publisher Politeknik Elektronika Negeri Surabaya
series Emitter: International Journal of Engineering Technology
issn 2355-391X
2443-1168
publishDate 2019-12-01
description 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.
url https://emitter.pens.ac.id/index.php/emitter/article/view/444
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AT jordannurakbar implementationfuzzycmeansondecisionsupportsystembpntbantuanpangannontunaiministryofsocialaffairsindonesia
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