Open AccessPenerapan Algoritma Simple Additive Weighting untuk Membantu Dalam Menentukan Calon Penerima Bantuan Pangan Non Tunai
Author(s) -
Andri Andreas,
Antonius Wiryadinata,
Halim Agung
Publication year - 2020
Publication title -
kalbiscientia
Language(s) - English
Resource type - Journals
eISSN - 2775-5576
pISSN - 2356-4393
DOI - 10.53008/kalbiscientia.v6i1.56
Subject(s) - weighting , beneficiary , ranking (information retrieval) , business , agricultural science , environmental economics , computer science , economics , finance , medicine , environmental science , radiology , machine learning
Bantuan Pangan Non Tunai (BPNT) is a program organized by the government in overcoming poverty and food needs. The BPNT program aims to reduce the burden of expenditure and provide more balanced nutrition to Beneficiary Families (KPM). However, in the implementation of the BPNT program there were still technical problems, including the determination of potential BPNT recipients who were wrongly targeted. To facilitate Government in determining prospective BPNT recipients, the authors make a decision support system using the Simple Additive Weighting method where this system generates ranking to choose citizens who are entitled to receive BPNT through calculating the criteria of each alternative. It is expected that this application can provide recommendations for prospective BPNT recipients who are more targeted.