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Journal : Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis

STRATEGI PENGEMBANGAN AGRIBISNIS KOMODITAS PADI DI KABUPATEN KARAWANG PASCA PANDEMI COVID-19 Dinda Sahara; Abubakar Abubakar; Luthfi Nur'azkiya
Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 8, No 1 (2022): Januari 2022
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v8i1.6480

Abstract

The Karawang Regency is one of the rice barns in West Java. Apart from having an agricultural area of 94,231 hectares, this district also contributes to the rice produced by the Province of West Java. Since 2018, the harvested area and yield of rice production in Karawang Regency have decreased, followed by a decrease in raw rice fields every year. Plus, the Covid-19 pandemic, which we do not know when it will end, has the potential to disrupt the availability and supply chain of food in Karawang Regency. The problem becomes more complex when farmers' institutions are still not strong, especially in terms of management, financial management, market access, and the low income of farm workers. Therefore, a strategy is needed to develop agribusiness, especially for rice commodities in Karawang Regency after the Covid-19 pandemic. This study aims to analyze the strengths, weaknesses, opportunities and threats in developing rice commodity agribusiness, formulate alternative strategies, and determine strategic priorities that the Karawang Regency government should choose to develop rice commodities in an effort to improve food security after the Covid-19 pandemic. The type of research used is descriptive research with quantitative and qualitative approaches. The location of the research was chosen purposively, namely Tempuran, Rawamerta and Pangkalan districts. The number of samples taken was as many as 16. The results showed that the impact of the Covid-19 pandemic was seen in the rice commodity agribusiness subsystem in Karawang Regency. The most influential was the supporting agribusiness subsystem, especially in the field of extension. QSPM analysis shows that the priority strategy that can be chosen is the optimization of government programs in increasing production with a total score of 6,251. Government programs that need to be optimized include intensification, which includes three farming businesses, and the use of agricultural technology.
ANALISIS FAKTOR SOSIAL EKONOMI YANG MEMPENGARUHI PRODUKSI PETANI KOPI SANGGABUANA DI KECAMATAN TEGALWARU KABUPATEN KARAWANG Rusmawati - Utami; Abubakar Abubakar; I Putu Eka Wijaya
Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 8, No 1 (2022): Januari 2022
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v8i1.6900

Abstract

Karawang Regency has potential in coffee production, this is shown by the increase in land area in 2018 and 2019 by 0.024 ha with a production value of 207.20 tons in the same year with a productivity value of 0.50 Karawang compared to the Pangandaran area which experienced a decline. land area of 12.14 ha and has an increased production value from 2018 to 2019 of 15.60 tons with a productivity value of 0.44. The low coffee production in Tegalwaru District is because farmers who cultivate coffee are still simple, such as the absence of plant care, no fertilizer and pesticides are applied, it is necessary to research on socio-economic factors on production in Tegalwaru District, Karawang Regency. The purpose of this research is to determine the partial and simultaneous influence of socio-economic factors that affect coffee production. Samples were determined using the Slovin formula, sampling using themethod simple random sampling. The analysis technique used is multiple regression analysis, classical assumption test and hypothesis testing. The results showed that the simultaneous hypothesis testing of independent variables (land area, labor age, length of farming, number of dependents, and education) jointly affected the dependent variable (production). In the partial test, only the land area variable has a partial effect on production.