Determining recipients of uninhabitable house rehabilitation program assistance using the classification method

Silfiyah, Chilmiatus, Kusumawati, Ririen ORCID: https://orcid.org/0000-0001-6090-7219 and Crysdian, Cahyo ORCID: https://orcid.org/0000-0002-7488-6217 (2024) Determining recipients of uninhabitable house rehabilitation program assistance using the classification method. Manajemen, Teknologi Informatika dan Komunikasi (Mantik), 8 (1). pp. 734-747. ISSN 2685-4236

Text 20226.pdf - Published Version Available under License Creative Commons Attribution Non-commercial. Download (511kB)

Abstract

The data used in this study amounted to 15182 datasets consisting of 14 variables. Existing variables are divided into basic variables and additional variables. The basic variables consist of 5 variables namely Home ownership, Roof type, Wall type, Floor type, Defecation facilities. While the additional variables consist of 9 variables, namely employment, having money/livestock/jewelry deposits and others, welfare deciles, education, recipients of non-cash food assistance, recipients of productive assistance for micro enterprises, recipients of cash social assistance, recipients of family hope programs, and recipients of basic necessities. Using the naïve bayes algorithm classification method, the values of accuracy, precision, recall, and f-measure are 67.61%, 67.97%, 93.71% and 78.79%. The addition of additional variables to the basic variables resulted in an accuracy of 68.29% in the additional variables of education. This shows that by adding additional variables, the accuracy results are higher than using only basic variables, so that this study can be used as a recommendation in decision making on the implementation of determining the beneficiaries of the rehabilitation program for uninhabitable houses.

Item Type:	Journal Article
Keywords:	Assistance program eligibility determination system Classification; Naïve Bayes; Uninhabitable House.
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified
Divisions:	Graduate Schools > Magister Programme > Graduate School of Informatics Engineering
Depositing User:	Ririen Kusumawati
Date Deposited:	27 Aug 2024 14:23

Downloads

Origin of downloads

Actions (login required)

View Item