Smart Farming in Indonesia: Behavioural Study on Adoption of Internet-Based Fertilisation Systems
Abstract Providing precise fertilisation guidance is vital for improving productivity and reducing environmental risks, yet the adoption of precision fertiliser systems remains low. The study investigates farmers’ intentions to adopt an Internet-based rice fertiliser information system across three agroecosystems: irrigated (Yogyakarta), rainfed (North Sumatra), and tidal (Central Kalimantan), with 100 farmers from each region. Applying an extended version of the technology acceptance model and using PLS-SEM analysis, the findings showed that perceived usefulness, perceived ease of use, and social norms are key determinants influencing individuals’ intention to adopt. Institutional trust also promotes adoption, while experience has no significant effect. These findings highlight the importance of trust and targeted training to boost farmers’ digital engagement with precision fertilisation technologies.
Authors
- Tommy Purba
- Dorkas Parhusip (ORCID: https://orcid.org/0000-0001-9447-8424)
- Twenty Liana (ORCID: https://orcid.org/0000-0001-8853-5891)
- Setia Sari Girsang (ORCID: https://orcid.org/0000-0003-2318-1273)
- Jeannette Maryanty Lumban Tobing (ORCID: https://orcid.org/0009-0007-6282-0468)
- Arlyna Budi Pustika (ORCID: https://orcid.org/0000-0002-3225-1272)
- Novia Chairuman (ORCID: https://orcid.org/0000-0002-2349-6489)
- Pandu Laksono (ORCID: https://orcid.org/0000-0001-7812-0019)
- Yudha Purbawa (ORCID: https://orcid.org/0000-0002-1951-8876)
- Yanti Rina Darsani (ORCID: https://orcid.org/0000-0001-8827-6789)
- Amelia Sebayang (ORCID: https://orcid.org/0000-0003-4400-804X)
- Alfonso Sitorus (ORCID: https://orcid.org/0000-0002-9678-1619)
- Hasil Sembiring (ORCID: https://orcid.org/0000-0003-2650-7427)
- Agus Suprihatin (ORCID: https://orcid.org/0000-0003-3746-5453)
- Susilawati Susilawati
- Taufik Iqbal Ramdhani
- Indra Sakti
Institutions
- Ministry of Economy (MK)
- National Agriculture and Food Research Organization (JP)
- National Agricultural Research and Innovation Centre (HU)
- National Research, Development and Innovation Office (HU)
- National Nuclear Energy Agency of Indonesia (ID)
Publication Details
- Journal
- Acta Technologica Agriculturae
- Published
- 2025-11-03
- DOI
- https://doi.org/10.2478/ata-2025-0025
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00