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Digitalisasi Infrastruktur Pertanian untuk Mendukung Ketersediaan Pangan Nasional Ardiana, Wiwik; Purnomo, Didit
Jurnal Sosial Ekonomi Pertanian Vol 21 No 2 (2025): Juni, 2025
Publisher : Hasanuddin University

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Abstract

Digital infrastructure factors such as Base Transceiver Station (BTS) and internet-using households play a crucial role in driving agricultural transformation in Indonesia, although their distribution remains uneven. Data BPS for the period 2019–2021 indicate an increase in the number of BTS across provinces, yet the level of internet penetration in agricultural households is still constrained by digital literacy and network quality. This condition raises the question of how far digitalization can enhance corn productivity as one of the nation’s strategic commodities. This study aims to analyze the influence of harvested area, informal labor in the agricultural sector, BTS, and internet-using households on corn production in Indonesia. The method employed is panel data regression with a Fixed Effect Model (FEM), using secondary data from 34 provinces during the 2019–2021 period. The results show that harvested area and BTS have a significant positive effect on corn production, while informal labor in the agricultural sector has no significant effect. In contrast, internet-using households have a significant negative effect, suggesting that internet access without agricultural digital literacy has not been utilized optimally. The main contribution of this study lies in integrating traditional factors (harvested area, informal labor in the agricultural sector) and digital factors (BTS, internet-using households) into a single national model. This research emphasizes that agricultural digitalization requires equitable infrastructure development and stronger digital literacy to enhance productivity and strengthen food security. These findings can provide important input for the government in shaping the direction of agricultural digitalization policies that are more inclusive and sustainable. Keywords:  Corn production; agricultural digitalization; digital literacy; food security.
Analysis of Theil Comparative Decomposition Index to Measure Regional Inequality Due to Industrialization Residues Susanto, Deni Aditya; Wijaya, Oki; Ardiana, Wiwik; Tantiana, Tantiana
Jambura Equilibrium Journal Vol 6, No 2 (2024): Vol 6. No 2. July 2024
Publisher : Gorontalo State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/jej.v6i2.25202

Abstract

The Industrial sector in Kendal County, Indonesia, is one of the national strategic projects aimed at promoting investment accumulation and job creation. Unfortunately, the rapid development of this Industrial sector has resulted in income inequality compared to other sectors. This research aims to examine and measure the contribution of the Industrial sector in Kendal County to aggregate inequality. Methodologically, this research uses a quantitative descriptive approach, which involves indexing inequality to reveal economic phenomena. The inequality indices include the Gini ratio index, the Williamson index, and the Theil index. In Kendal County, inequality is at a moderate to high level, as evidenced by a Gini ratio index of 0.411 and a Williamson index of 0.775. On the other hand, the Theil index reaches 0.519, placing it in between the Gini ratio and the Williamson index. The high inequality in Kendal County is attributed to the Industrial sector, accounting for 41.19%. The Industrial sector significantly contributes to the widening of inequality in Kendal County. This is due to the Industrial sector attracting production input factors such as investments, resources, human capital, monetary conditions, and technological innovation. However, the trickle-down effect does not occur between the Industrial sector and other economic sectors such as agriculture, food and beverages, trade, services, and accommodation.