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All Journal Curve Elasticity: Jurnal Pendidikan Ekonomi Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Journal of Regional Economics and Development
Marseto
Universitas Pembangunan Nasional “Veteran” Jawa Timur
Humanities Economics, Econometrics & Finance Education Other

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Pengaruh Sosialisasi Kegiatan Budidaya Lele Melalui Akuaponik Terhadap Pemberdayaan Masyarakat Gadel Putri Aulia Agustiawati; Marseto; Fauziatul Laily Nisa
Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Vol 2 No 2 (2022)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.232 KB) | DOI: 10.58466/literasi.v2i2.499

Abstract

Gadel Village is an area located in RW 06, Karangpoh Village. This Gadel village has limitations in empowering its community. This community service activity has the main goal of optimizing community empowerment in Gadel Village through socialization of catfish cultivation activities with an aquaponic system. This socialization concept will emphasize the independence of the Gadel village community to be able to achieve prosperity, and their goals are implemented through aquaponic-based cultivation activities. The problem raised in this research is the influence of aquaponics socialization on the empowerment of the Gadel community. The purpose of this study was to determine how the influence of aquaponics socialization on the empowerment of the Gadel community. The research method used in this research is descriptive qualitative method by conducting data collection techniques such as observation.
IDENTIFIKASI SEKTOR BASIS DAN SEKTOR NON-BASIS MENGGUNAKAN METODE LOCATION QUOTIENT (LQ), SHIFT SHARE (SS), DAN TIPOLOGI KLASSEN TERHADAP PERTUMBUHAN EKONOMI DI KABUPATEN SERANG Laela Faiqotul Himmah; Marseto; Anisa Fitria Utami
Curve Elasticity: Jurnal Pendidikan Ekonomi Vol 6 No 2 (2025): Curve Elasticity: Jurnal Pendidikan Ekonomi
Publisher : Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/jpe.v6i2.3972

Abstract

This study aims to identify the base and non-base sectors in the economy of Serang Regency for the period 2014–2023 and analyze changes in the economic structure of the region. The data used is secondary data in the form of Gross Domestic of Banten Province and Serang Regency. The methods use dare location quotient (LQ), shift share, Klassen typology, and simple linear regression. The results of the analysis show that during the research period there were four consistent base sectors, namely agriculture, forestry and fisheries; manufacturing; government administration, defense and mandatory social security; and education services. These sectors have comparative and competitive advantages that are the main drivers of regional economic growth. Based on Klassen's typology, Serang Regency is classified as a rapidly advanced and developing region. The results of this study are expected to be taken into consideration by local governments in planning for sustainable economic development. The results of the regression test show that the basic sectors have a significant effect on economic growth, while the non-basic sectors do not have a significant effect.
Examining the Effects of Minimum Wage Levels, Human Development, and Population Growth on the Open Unemployment Rate in Banten Sonia Putri; Marseto
Journal of Regional Economics and Development Vol. 3 No. 3 (2026): May
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jred.v3i3.1145

Abstract

This research was conducted to examine how minimum wage levels, the Human Development Index (HDI), and population growth contribute to changes in the open unemployment rate in Banten Province during 2010–2024. A quantitative framework was applied by utilizing secondary time-series data sourced from the Central Statistics Agency (BPS). The study employed multiple linear regression analysis supported by classical assumption tests, along with hypothesis evaluation through t-tests, F-tests, and the coefficient of determination (R²). The findings reveal that, individually, minimum wage does not demonstrate a statistically significant relationship with open unemployment. In contrast, HDI shows a significant inverse relationship, while population growth is proven to significantly increase unemployment levels. When assessed collectively, all independent variables significantly influence the open unemployment rate. The model’s R-Squared value of 0.751215 suggests that 75.12% of fluctuations in unemployment are accounted for by the variables included in the model, whereas the remaining proportion is associated with external factors beyond this research scope. These results emphasize that labor quality improvement and population dynamics are key elements affecting unemployment, highlighting the importance of policy strategies that extend beyond wage regulation toward strengthening workforce capacity and expanding employment opportunities.
Co-Authors Anisa Fitria Utami Fauziatul Laily Nisa Laela Faiqotul Himmah Putri Aulia Agustiawati Sonia Putri