KnE Social Sciences

Published date: Sep 10 2025

Journal Title: KnE Social Sciences

Issue title: The International Conference on Economic and Sustainable Development (ICESIDE)

Pages: 79 - 90

DOI: 10.18502/kss.v10i20.19618

Herry Yulistiyonoherry.yulistiyono@trunojoyo.ac.idDepartment of Economics, Faculty of Economic and Business, Universitas Trunojoyo Madura

Ahmad Puji Khoirul RizqiDepartment of Economics, Faculty of Economic and Business, Universitas Trunojoyo Madura

This study aims to analyze the factors influencing the Developing Village Index (DVI) in Bojonegoro Regency, which is an important indicator for measuring the progress and independence of villages. The method used is binary logistic regression analysis, utilizing secondary data from the Department of Community Empowerment and Village Affairs and the Central Statistics Agency for the years 2021 and 2023, covering a population of 414 villages in Bojonegoro Regency. The analysis results indicate that village location, type of main commodity, and BUMDes (Badan Usaha Milik Desa, Village-Owned Enterprises), classification have a significant impact on the DVI, where villages located outside the forest and those with rice as a commodity demonstrate higher chances of independence. A good classification of BUMDes also positively contributes to village development. Although some other variables are not significant, these results highlight the importance of location-based strategies and superior products in village development.

Keywords: developing village index, village development, classification of BUMDes

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