Muhammad Rias Ramadan
Universitas Indonesia Timur

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Sistem Informasi Manajemen Pertanian: Studi Kasus Lembang Agri Gapoktan Leonardi Paris Hasugian; Erlangga Nugraha; Dian Permata Sari; Muhammad Rias Ramadan; Valentine Kachundu
Jurnal Manajemen Informatika JAMIKA Vol 16 No 1 (2026): Jurnal Manajemen Informatika (JAMIKA)
Publisher : Program Studi Manajemen Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jamika.v16i1.21245

Abstract

Manual recordkeeping at the farmer group level leaves registration, procurement, planting, harvest, and sales data standing alone, with no link across the stages of farm management. Lembang Agri Gapoktan in Cikidang Village, West Bandung Regency, oversees 207 active members with no membership database, no digital record of seed, fertilizer, and compost procurement, and no transaction evidence for consumers. This study designs, builds, and tests a Farm Management Information System uniting the flow from registration to sales in a single database. The prototyping method runs iteratively through requirements gathering, mock-up construction and refinement, and mock-up testing. Requirements were collected through observation, interviews with the chairperson and the secretary, and review of invoices and harvest reports. The design covers five information system components, with use case and activity diagram modeling alongside data normalization. The system was built on the Laravel framework with a MySQL database, then tested through black box methods using equivalence partitioning and boundary value analysis. The system handles member registration together with land area verification, raw material procurement under tiered approval, planting records, harvest records feeding directly into salable quantity, and sales issuing invoices and notifications by SMS and email. Every test scenario in the final iteration produced output matching the specification. The contribution of this study lies in linking harvest records to sales transactions as a basis for the following planting decision.