Open AccessDevelopment Of Poor Family Selection System Using Simple Multi Attribute Rating Technique Exploiting Rank Method
Author(s) -
Iwan Santosa,
Davin Wijaya,
Mulaab,
Aeri Rachmad,
Triuli Novianti
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1569/2/022082
Subject(s) - ranking (information retrieval) , rank (graph theory) , computer science , selection (genetic algorithm) , simple (philosophy) , process (computing) , data mining , machine learning , operations research , mathematics , operating system , philosophy , epistemology , combinatorics
In overcoming the problem of poverty, the Office of Community and Village Empowerment of Sampang Regency implements the GEMASAHABAT (Joint Movement Towards Harmonious and Dignified Movement). This program is a program of providing assistance to poor families, but with a large number of poor families, a ranking process is needed to find out poor families that are right on target. The program can be assisted by the existence of a method designed into a decision support system that can include assessment parameters related to ranking poor families, a method deemed appropriate in assisting the ranking process, namely the Simple Multi-Attribute Branch Technique Exploitng Ranks (SMARTER) method, where the method is part of the Multiple Criteria Decision Making method. This method was chosen because it can rank data with multiple criteria. The results of this study are software that was developed based on 100% functionality test and 91% of speed tests stated that high speed and ease of implementation.