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FAKTOR PENENTU PRODUKSI IKAN KERING DI KABUPATEN MUKOMUKO, BENGKULU, INDONESIA Agung Trisusilo; Heni Anisa; Gita Mulyasari
Musamus Journal of Agribusiness Vol 4 No 2 (2022): Musamus Journal of Agribusiness
Publisher : Musamus University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35724/mujagri.v4i2.4233

Abstract

Dried fish producers at Mukomuko Regency manage their business traditionally and rally on individual skills. Furthermore, the sustainability of this business is also very reliant on the availability of capital from each one of them. Therefore this research aims to analyze the determining factors of dried fish production in Mukomuko Regency, Bengkulu Province. The study conducted in Mukomuko Province involves 67 dry fish producers as respondents. This study used descriptive quantitative method and multiple linear regression analysis with ordinary least square (OLS) method. The research results show that the value of R2 is 0,8773. The results of the F-test show that the raw materials, labor, and capital are affected to the production of dried fish simultaneously. The T-test result indicated that the production of dried fish is subject to independent variables intermediates.
Tingkat kemiskinan multidimensi rumah tangga buruh panen sawit rakyat di Kecamatan Air Rami, Kabupaten Mukomuko Syifa Rohadatul Hasna; Nola Windirah; Agung Trisusilo; Gontom Citoro Kifli
Composite : Jurnal Ilmu Pertanian Vol 7 No 2 (2025): Agustus
Publisher : University of Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/composite.v7i2.879

Abstract

Poverty is not only seen from the inability in economic terms, but also the inability to fulfill education, health, and living standards. This study aims to determine the poverty status of households of smallholder oil palm harvest laborers in Air Rami Subdistrict, Mukomuko District, as well as the factors that influence multidimensional poverty. The research method used a quantitative approach with logistic regression analysis. The results showed that 30% of smallholder oil palm harvest laborer households were categorized as multidimensionally poor, with key indicators such as cooking fuel, years of schooling, and poor nutrition. Factors such as number of working days and health have a significant influence on multidimensional poverty, while variables such as land size, age, family dependents, alternative employment, and work experience are not significant. This study concludes that the multidimensional poverty of harvest labor households in Air Rami Sub-district is complex and multidimensional, not only related to income but also lack of access to basic needs.