Agricultural Science Digest

UGC CARE (Group 1)
  • Year: 2024
  • Volume: 44
  • Issue: 4

Structure Requirements for Developing the Insurance Program Adoption for the Rice Farming Business in Banyuwangi Regency

  • Author:
  • Muksin1,*, C.S. Darmaji2, M.M.D. Utami3, M.I. Firdaus4, D. Purwoko5, Mochamad Rizal Umami1
  • Total Page Count: 7
  • Page Number: 787 to 793

1Department of Agribusiness, Politeknik Negeri Jember, Indonesia

2Food Crop Extension, Dinas Pertanian dan Pangan Banyuwangi, Indonesia

3Department of Animal Husbandry, Politeknik Negeri Jember, Indonesia

4Department of Agribusiness, Darul Ulum University, Jombang, Indonesia

5The Indonesian Institute of Science (LIPI) Jakarta, Indonesia

Abstract

The farming businesses play an essential role in contributing to Banyuwangi Regency’s standard of living. Agriculture is also associated with food security. Rice plants are the most extensively cultivated food crop in the community. It is the background of why the Indonesian government established Asuransi Usahatani Padi (AUTP) or Rice Farming Insurance (RFI). RFI program is designed to help protect farmers from crop failure-related losses. This study intends to analyze the requirements that must be met to establish the RFI in Banyuwangi.

Observation and research during 2020-2022. The focus of the investigation is farmers who use and do not use agricultural insurance in Kabat District, Banyuwangi Regency. Combining quantitative and qualitative approaches. 35 farmers and stakeholders were selected to collect data and 7 experts with knowledge and capacity to understand rice cultivation and social issues were involved in the evaluation using the analytical tool Interpretive Structural Modelling is a research method.

The indicated that systemically implemented extension services, the simplicity of RFI financing techniques and procedures and the strengthening of agricultural institutions and partnerships are essential for promoting RFI adoption.

Keywords

Community empowerment, Farming, Insurance program, Interpretive structural modeling analysis, Rice