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Harum, Nisrina Sekar
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Pengaruh Sosial Ekonomi dan Kesehatan terhadap Pengeluaran Konsumsi Pangan Rumah Tangga Provinsi Jawa Tengah Tahun 2020 Harum, Nisrina Sekar; Aini, Mifrotun; Risxi, Muhammad Alfa; Kartiasih, Fitri
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.v2023i1.1919

Abstract

Central Java Province is the fourth most populous province in Indonesia, so with a dense population in an area, it is important to pay attention to household consumption expenditure according to the second SDG goal, namely no hunger. The purpose of this study was to look at the distribution of household food consumption expenditures in Central Java and analyze the socio-economic and health influences on household food consumption expenditures. The data used is secondary data from the publication of the Central Java Statistics Agency in 2020. This study used multiple linear regression analysis. The results showed that the open unemployment rate and the percentage of households with proper sanitation significantly increased household food consumption expenditures. Meanwhile, the dependency ratio significantly reduces household food consumption expenditures.
Penerapan Stochastic Frontier Analysis untuk Estimasi Efisiensi Industri Manufaktur di Indonesia Tahun 2022 Parulian, Firman Emmanuel Declarantius; Harum, Nisrina Sekar; Aditya, Randy Daffa; Yuliana, Rita
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2492

Abstract

The manufacturing industry plays a crucial role in Indonesia’s economic system due to its significant contribution to GDP. However, the sector’s share of GDP has been declining over the years. Therefore, efficiency and productivity levels remain key challenges that must be addressed. This study aims to estimate the technical efficiency of the manufacturing industry and analyze the factors affecting its inefficiency across 34 provinces in Indonesia using Stochastic Frontier Analysis (SFA) in 2022. Unlike previous studies that focus on inter-industry or industrial classification analysis, this research adopts a regional perspective. The results indicate that capital and labor have a positive and significant effect. Furthermore, average years of schooling and fuel consumption in the manufacturing industry significantly affect technical inefficiency. Province with the highest technical efficiency is West Java, while the lowest is in East Nusa Tenggara.
Co-Authors Aditya, Randy Daffa Aini, Mifrotun Fitri Kartiasih Parulian, Firman Emmanuel Declarantius Risxi, Muhammad Alfa Rita Yuliana