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

ENI, LUH SRI MULIA and Yunita, Yunita and Kurniati, Rizki (2022) PENERAPAN METODE K-MEANS DAN SAW DALAM MENENTUKAN PENERIMA BANTUAN PANGAN-NON-TUNAI(BPNT). Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021181823022.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_55201_09021181823022_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (8MB) | Request a copy
Preview	Text RAMA_55201_09021181823022_0006068305_0012079104_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_55201_09021181823022_0006068305_0012079104_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (634kB) | Request a copy
	Text RAMA_55201_09021181823022_0006068305_0012079104_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (380kB) | Request a copy
	Text RAMA_55201_09021181823022_0006068305_0012079104_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55201_09021181823022_0006068305_0012079104_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (865kB) | Request a copy
	Text RAMA_55201_09021181823022_0006068305_0012079104_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (188kB) | Request a copy
	Text RAMA_55201_09021181823022_0006068305_0012079104_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (404kB) | Request a copy
	Text RAMA_55201_09021181823022_0006068305_0012079104_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy

Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	BPNT, K-Means, Simple Additive Weighting
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.62 Decision support systems Cf. HD30.213 Industrial management
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Luh Sri Mulia Eni
Date Deposited:	13 Dec 2022 06:28
Last Modified:	13 Dec 2022 06:28
URI:	http://repository.unsri.ac.id/id/eprint/83694

Actions (login required)

View Item