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All Journal Prosiding Seminar Nasional Official Statistics PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Fajar, Huda M.
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Implementasi Geographically Weighted Regression (GWR) pada Determinasi Faktor Produksi Beras di Indonesia Tahun 2021 Wicaksono, Ditto Satrio; Kusumasari, Pamelina Alisha; Fajar, Huda M.; Fajritia, Rahajeng; Puspita Anggraini, I Gusti Ayu; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1714

Abstract

Food security is one of the nation’s responsibility in ensuring the appropriate and affordable foods for its citizens, especially rice. However, the rising number of agricultural land function conversion together with inequality rice production in every provinces still challenge our government in achieving the national food security. Understanding this situation, this research is conducted to analyze the factors influencing rice production in each province in Indonesia in 2021. To achieve this purpose, descriptive analysis and inferential analysis are employed, utilizing the Geographically Weighted Regression due to the spatial factors involved in each province and the occurrence of spatial heterogeneity from the global model. GWR model shows a better performance compared to global model in modelling the rice production growth in Indonesia. The results shows that there are six regional groups based on significant variables. Furthermore, labor still be the main factor in increasing rice production across all provinces also the intensity of fertility must be considered in order to achieve food security in Indonesia.
Role of Agricultural Sector and Quality of Its Production Factor in Indonesia: An Application of Input-Output Analysis and Panel Model Pramana, Anugerah Surya; Wicaksono, Ditto Satrio; Fajar, Huda M.
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.705

Abstract

Indonesia has been known as the largest agricultural country in Southeast Asia. However, the sector contribution to national output has declined. This indicates a low interconnection between agriculture and the other sectors despite the sector’s significant potential to stimulate other industries’ output through strong backward and forward linkages. This condition is caused by the role of production factors that determine agricultural output. Therefore, the research aims to analyse agriculture’s linkages with other sectors and to assess the effects its production factor on agricultural output. Using Input–Output multiplier analysis, it is found the agriculture, forestry, and fisheries sector is the largest absorber of labour in Indonesia. This sector is predominantly consumed directly by households. Meanwhile, panel model results for 2010–2024 show that increases in labour without accompanying improvements in quality have a negative effect, whereas investment and credit, as manifestations of capital, have positive effects on agricultural gross value added. Policy implications include prioritizing skills development and improving access to credit and investment to foster adoption of productivity-enhancing technologies, thereby enabling the agricultural sector to grow and exert greater influence on other sectors and on the national economy.
Co-Authors Baehaqi Fajritia, Rahajeng Kusumasari, Pamelina Alisha Pramana, Anugerah Surya Puspita Anggraini, I Gusti Ayu Wicaksono, Ditto Satrio