Riamto, Mohammad Shodiq Wahyu (2025) ANALISIS KLASTER KEMISKINAN PADA 38 PROVINSI DI INDONESIA BERDASARKAN PENGARUH KUALITAS SUMBER DAYA MANUSIA, INFRASTRUKTUR, DAN EKONOMI DENGAN ALGORITMA DBSCAN. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
To achieve the SDGs 2030 and Indonesia Emas 2045 plans in equalizing people's welfare, a poverty analysis approach is needed that focuses on regional potential factors. In this study, poverty is analyzed based on the regional mapping approach of dbscan clustering results on the influence of human resource quality, infrastructure, and economy. Compared to other techniques, dbscan clustering has the advantage of detecting poverty-prone areas in the complexity of high poverty influences so that it is very good for mapping. The results of cluster validation in the silhouette score of 0.645 and the davis bouldin index of 0.457 indicate that poverty is well mapped. A total of 17 provinces are included in the poor cluster. The high number of provinces in the poor cluster indicates that poverty alleviation programs and policies in several regions have not been effectively implemented. Especially in the four provinces of Papua, Gorontalo, and the Bangka Belitung Islands which have very low human resource conditions in the field of education. To overcome this problem, one strategy that can be applied is the adoption program from America "One Family One Graduate". This program not only provides opportunities for children in underprivileged families who want to go to college, but this program can also be a more effective educational campaign media because it improves people's educational background. In its application, the poverty mapping information system can be the basis for making better policies in poverty alleviation per region.
| Item Type: | Thesis (Undergraduate) | ||||||||
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| Subjects: | T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering T Technology > T Technology (General) > T58.6-58.62 Management Information Systems |
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| Divisions: | Faculty of Engineering > Departement of Industrial Engineering | ||||||||
| Depositing User: | Riamto Mohammad Shodiq Wahyu | ||||||||
| Date Deposited: | 08 May 2025 04:34 | ||||||||
| Last Modified: | 08 May 2025 04:34 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/36152 |
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