Metode Analytical Hierarchy Process (AHP) Untuk Rekomendasi Penerima Bantuan Program Keluarga Harapan (PKH)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Hapsari, Rizki Kurnia
Djamain, Yasni
Siregar, Riki Ruli Affandi
Djamain, Yasni
Siregar, Riki Ruli Affandi
Subject
Teknik Informatika
Datestamp
2022-09-23 04:05:12
Abstract :
In this research, the process of determining PKH beneficiaries in the Duri Kosambi Village has no system that could directly recommend a list of beneficiaries. So from this problem, the system design was made to recommend recipients of PKH assistance using the Analytical Hierarchy Process (AHP) method which has 7 different criterias. Using this method could produce a list of PKH beneficiary recommendations that have a weighting of ranking criteria. Ranking weights are used as a basis for recipient recommendations by the criteria. From the results of testing the accuracy of the criteria obtained weighting criteria for the status of residential buildings 0.26 error difference 0.4712%, widest floor type 0.11 error difference 0.3210%, widest wall type 0.11 error difference 0.1722%, drinking water sources 0.03 error difference 0.0244%, lighting source 0.14 difference error 0.2153%, installed electrical power 0.20 error difference 1.6519, and chapter facilities 0.14 error difference 0.4478%. These results indicate that the criteria weights could be used in the process of determining recommendations for PKH recipients by the priority criteria.
In this research, the process of determining PKH beneficiaries in the Duri Kosambi Village has no system that could directly recommend a list of beneficiaries. So from this problem, the system design was made to recommend recipients of PKH assistance using the Analytical Hierarchy Process (AHP) method which has 7 different criterias. Using this method could produce a list of PKH beneficiary recommendations that have a weighting of ranking criteria. Ranking weights are used as a basis for recipient recommendations by the criteria. From the results of testing the accuracy of the criteria obtained weighting criteria for the status of residential buildings 0.26 error difference 0.4712%, widest floor type 0.11 error difference 0.3210%, widest wall type 0.11 error difference 0.1722%, drinking water sources 0.03 error difference 0.0244%, lighting source 0.14 difference error 0.2153%, installed electrical power 0.20 error difference 1.6519, and chapter facilities 0.14 error difference 0.4478%. These results indicate that the criteria weights could be used in the process of determining recommendations for PKH recipients by the priority criteria.
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