Integration of the Hybrid Decision Support System and Machine Learning Algorithm to Determine Government Assistance Recipients: A Case Study in the Indonesian Funding Program

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dc.contributor.authorAdiwijaya, Indra Rusyadi
dc.contributor.authorIndratno, Sapto Wahyu
dc.contributor.authorSiallagan, Manahan
dc.contributor.authorWidodo, Agus
dc.contributor.authorGandara, Eka
dc.coverage.issue1cs
dc.coverage.volume29cs
dc.date.accessioned2024-01-11T08:34:35Z
dc.date.available2024-01-11T08:34:35Z
dc.date.issued2023-06-30cs
dc.description.abstractThe Indonesian government provides incentives to facilitate community development through various funding programs to improve the economy and restore the national economy. However, there were many obstacles in determining the proper target beneficiaries. This study aims to assist decision-makers in determining targeted and accountable beneficiary candidates. In this study, a hybrid Analytical Hierarchy Process (AHP) method with Simple Additive Weighting (SAW) was used and integrated with machine learning modeling using Logistic Regression (LR). The AHP approach is used to determine the weight of each criterion, and the SAW method is used to sort out each available alternative with the help of an expert team's assessment. Instead, the LR method is used for the predictive analysis and classification of the resulting data.en
dc.formattextcs
dc.format.extent15-24cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2023 vol. 29, č. 1, s. 15-24. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2023.1.015en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttps://hdl.handle.net/11012/244237
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/213cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectAHPen
dc.subjectDSSen
dc.subjectFeature Selectionen
dc.subjectMachine Learningen
dc.subjectLogistic Regressionen
dc.subjectMCDMen
dc.subjectSAWen
dc.titleIntegration of the Hybrid Decision Support System and Machine Learning Algorithm to Determine Government Assistance Recipients: A Case Study in the Indonesian Funding Programen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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