AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development
This study improves the prediction and classification of underdeveloped villages in Indonesia using Artificial Intelligence (AI) and machine learning. It identifies key factors driving underdevelopment to inform policy interventions that support Sustainable Development Goals (SDGs), particularly SDG...
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| Format: | Article |
| Language: | Indonesian |
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Pusat Pembinaan, Pendidikan, dan Pelatihan Perencana Bappenas
2024-12-01
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| Series: | The Journal of Indonesia Sustainable Development Planning |
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| Online Access: | https://journal.pusbindiklatren.bappenas.go.id/lib/jisdep/article/view/611 |
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| _version_ | 1841540126577000448 |
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| author | Harun Al Azies |
| author_facet | Harun Al Azies |
| author_sort | Harun Al Azies |
| collection | DOAJ |
| description | This study improves the prediction and classification of underdeveloped villages in Indonesia using Artificial Intelligence (AI) and machine learning. It identifies key factors driving underdevelopment to inform policy interventions that support Sustainable Development Goals (SDGs), particularly SDG 1 (No Poverty), SDG 10 (Reduced Inequality), and SDG 11 (Sustainable Communities). Using data from 75,261 villages based on Indonesia’s Village Development Index (IDM), the Decision Tree model achieved the highest classification accuracy at 99.5%. Analysis of feature importance revealed the Economic Resilience Index (IKE) as the most significant factor, followed by the Ecological Resilience Index (IKL) and the Social Resilience Index (IKS). These results align with the SDGs’ focus on economic, social, and environmental resilience. The research offers a data-driven approach to advancing rural development and guiding effective policy decisions in Indonesia. |
| format | Article |
| id | doaj-art-7e3a4711f1cc499d9023a5c92fbac7a3 |
| institution | Kabale University |
| issn | 2721-8309 2722-0842 |
| language | Indonesian |
| publishDate | 2024-12-01 |
| publisher | Pusat Pembinaan, Pendidikan, dan Pelatihan Perencana Bappenas |
| record_format | Article |
| series | The Journal of Indonesia Sustainable Development Planning |
| spelling | doaj-art-7e3a4711f1cc499d9023a5c92fbac7a32025-01-14T06:04:43ZindPusat Pembinaan, Pendidikan, dan Pelatihan Perencana BappenasThe Journal of Indonesia Sustainable Development Planning2721-83092722-08422024-12-015319220210.46456/jisdep.v5i3.611611AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural DevelopmentHarun Al Azies0Universitas Dian NuswantoroThis study improves the prediction and classification of underdeveloped villages in Indonesia using Artificial Intelligence (AI) and machine learning. It identifies key factors driving underdevelopment to inform policy interventions that support Sustainable Development Goals (SDGs), particularly SDG 1 (No Poverty), SDG 10 (Reduced Inequality), and SDG 11 (Sustainable Communities). Using data from 75,261 villages based on Indonesia’s Village Development Index (IDM), the Decision Tree model achieved the highest classification accuracy at 99.5%. Analysis of feature importance revealed the Economic Resilience Index (IKE) as the most significant factor, followed by the Ecological Resilience Index (IKL) and the Social Resilience Index (IKS). These results align with the SDGs’ focus on economic, social, and environmental resilience. The research offers a data-driven approach to advancing rural development and guiding effective policy decisions in Indonesia.https://journal.pusbindiklatren.bappenas.go.id/lib/jisdep/article/view/611machine learningartificial intelligenceunderdeveloped villagesrural development |
| spellingShingle | Harun Al Azies AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development The Journal of Indonesia Sustainable Development Planning machine learning artificial intelligence underdeveloped villages rural development |
| title | AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development |
| title_full | AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development |
| title_fullStr | AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development |
| title_full_unstemmed | AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development |
| title_short | AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development |
| title_sort | ai based models for identifying underdeveloped villages in indonesia s rural development |
| topic | machine learning artificial intelligence underdeveloped villages rural development |
| url | https://journal.pusbindiklatren.bappenas.go.id/lib/jisdep/article/view/611 |
| work_keys_str_mv | AT harunalazies aibasedmodelsforidentifyingunderdevelopedvillagesinindonesiasruraldevelopment |