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PENERAPAN METODE K-MEANS DAN SAW DALAM MENENTUKAN PENERIMA BANTUAN PANGAN-NON-TUNAI(BPNT)

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The determination of prospective BPNT recipients, especially in Air Talas village, still uses a manual system so that in the process of determining the recipient there is a risk that it will cause inaccuracy of recipients so that the village government needs a system that can assist the process of determining prospective BPNT recipients appropriately based on the established criteria. This study aims to implement the K-Means and SAW methods in determining recipients of non-cash food assistance (BPNT) in Air Talas village. The K-Means clustering method is used to group data that has similar data based on attributes and the Simple Additive Weighting Ranking method is used to rank the clustered data belonging to the feasible cluster by sorting the preference values from the largest to the smallest. The research location is Air Talas village with 316 data used. The results of the study are clustering data as much as 77 data obtained from feasible clusters. The cluster data was then tested using the accuracy value and obtained a value of 72%. Then the research is also in the form of ranking data using clustered data which obtains an accuracy value of 66%. Keywords: BPNT, K-Means, Simple Additive Weighting.

Availability
Inventory Code Barcode Call Number Location Status
2207005019T83694T836942022Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T836942022
Publisher
Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
xviii, 92 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
519.530 7
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Matematika statistikal deskriptif
Prodi Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
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No other version available

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