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All Journal JIET (Jurnal Ilmu Ekonomi Terapan) BAREKENG: Jurnal Ilmu Matematika dan Terapan Prosiding Seminar Nasional Official Statistics
Fajritia, Rahajeng
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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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.
MODELING FACTORS AFFECTING EDUCATED UNEMPLOYMENT ON JAVA ISLAND USING GEOGRAPHICALLY WEIGHTED POISSON REGRESSION MODEL Wicaksono, Ditto Satrio; Nuriyah, Sinta; Fajritia, Rahajeng; Yuniarti, Ni Putu Nita; Priatmadani, Priatmadani; Amelia, Laeli; Berliana, Sarni Maniar
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0615-0626

Abstract

The eighth goal of the SDGs, which aim to promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all, addresses the problem of unemployment. Indonesia, the fourth-largest country in the world, keeps on dealing with unemployment and its negative consequences. Three provinces on the island of Java have higher unemployment rates for educated people than any other provinces. The purpose of this study is to examine the variables affecting educated unemployment in Java. This study uses cross-sectional data published from BPS-Statistics Indonesia website and the Indonesia Investment Coordinating Board (BKPM) for 119 regencies/cities across six provinces on Java Island in 2021. The predictor variables are Gross Regional Domestic Product (GRDP), investment, labor force participation rate, mean years of schooling, regency/city minimum wage, and inflation. The number of working-age population is used as an exposure measure. Four models were used to analyze the factors affecting educated unemployment on Java Island: Poisson regression model and Geographically Weighted Poisson Regression (GWPR) model, both with and without an exposure. Based on the smallest AIC/AICc, the best model is the GWPR model with an exposure. This model creates 11 groups of locations based on the same predictor variables that significantly affect educated unemployment
Identifying LPG Usage Inequality and Its Determinants in Eastern Indonesia Fajritia, Rahajeng; Kartiasih, Fitri; A’mal , Ikhlasul
Jurnal Ilmu Ekonomi Terapan Vol. 10 No. 2 (2025)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jiet.v10i2.79636

Abstract

Objective: This study aims to measure the extent of LPG usage inequality and to examine the factors influencing it across 13 provinces in Eastern Indonesia (KTI) over the period 2015–2023. Specifically, this study seeks to address two research questions: (1) To what extent does LPG usage inequality vary across provinces in Eastern Indonesia? and (2) What factors contribute to the occurrence of this inequality?Methods: This study uses panel data sourced from the National Socioeconomic Survey (Susenas) and official publications of BPS-Statistics Indonesia. LPG usage inequality is measured using the Gini Coefficient and the Lorenz Curve. The empirical model is analyzed using the Fixed Effect Model (FEM), which is then corrected with Feasible Generalized Least Squares–Seemingly Unrelated Regression (FGLS-SUR) to address heteroskedasticity and cross-sectional unit correlation issues.Findings: The research findings reveal that five provinces (East Nusa Tenggara, Maluku, North Maluku, Papua, and West Papua) experience very high disparities in LPG usage, primarily influenced by limited access and high LPG prices. Empirically, it was found that per capita income and education significantly reduce inequality, while an increase in LPG prices significantly increases inequality.Originality/Value: This research makes a novel contribution by focusing on LPG usage inequality across the provinces of Eastern Indonesia. The use of panel data analyzed through the FGLS-SUR method enables a more robust and precise identification of the determinants of inequality.Practical/Policy implication: The government should enhance the equity of energy distribution infrastructure, ensure price stability, and promote energy literacy as part of a just clean energy transition. Furthermore, improving educational attainment and strengthening micro, small, and medium enterprises (MSMEs) are essential to increasing public awareness, raising income levels, and stimulating regional economic development.
Co-Authors Amelia, Laeli A’mal , Ikhlasul Budiasih Budiasih Fajar, Huda M. Fitri Kartiasih Kusumasari, Pamelina Alisha Nuriyah, Sinta Priatmadani, Priatmadani Puspita Anggraini, I Gusti Ayu Sarni Maniar Berliana, Sarni Maniar Wicaksono, Ditto Satrio Yuniarti, Ni Putu Nita