PREDIKSI CALON PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN (PKH) MENGGUNAKAN ALGORITMA C4.5 (STUDI KASUS: KECAMATAN BANGKO KABUPATEN ROKAN HILIR)

Simple item page
dc.contributor.authorSari, Refna Afrita
dc.contributor.supervisorElfizar, Elfizar
dc.date.accessioned2021-10-21T02:33:09Z
dc.date.available2021-10-21T02:33:09Z
dc.date.issued2021-04
dc.description.abstractBangko Sub-district is one of sub-districts in Rokan Hilir Regency that has distributed assistance of Keluarga Harapan (Family Hope) Program since 2007. The program is a conditional social protection program from the central government through distribution of cash assistance to very poor families. In the process of validating prospective recipient data of the program assistance, it is still performed manually which takes a long time. In addition, there are often problems regarding the recipient assistance that do not match criteria for participating in the program. This study aims to build a system that is able to predict potential beneficiaries of the expected family program assistance using the C4.5 algorithm. The attributes used were place of residence, occupation, pregnancy status, dependents of school age children and family members with disabilities. The category of decisions produced was recipients who were predicted to receive and not receive assistance from the program. This system was designed using Unified Modeling Language and developed with the PHP programming language and MySQL DBMS. The results of system testing calculated using confusion matrix against 300 recipient data and not the recipient of the program produced an accuracy rate of 87%.en_US
dc.description.sponsorshipJurusan Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10297
dc.language.isoenen_US
dc.subjectAlgorithmen_US
dc.subjectData Miningen_US
dc.subjectFamily Hope Programen_US
dc.titlePREDIKSI CALON PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN (PKH) MENGGUNAKAN ALGORITMA C4.5 (STUDI KASUS: KECAMATAN BANGKO KABUPATEN ROKAN HILIR)en_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
REFNA AFRITA SARI_compressed.pdf
Size:
241.26 KB
Format:
Unknown data format
Description:
artikel
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Sistem Infomasi