Analysis of Factors Influencing Customers in Adopting Electricity Pumping Technology Through the Electrifying Agriculture Program at PT PLN (Persero) UP3 Ponorogo
DOI:
https://doi.org/10.37034/jems.v8i3.474Keywords:
Electrifying Agriculture, Technology Adoption, PLN, Diffusion of Innovations, SEM-PLSAbstract
The transformation of energy in the agricultural sector has become a central agenda in enhancing efficiency and sustainability. PT PLN (Persero), through the Electrifying Agriculture (EA) program, aims to promote the adoption of electric pumps among farmers. However, adoption rates vary significantly, influenced by multiple factors that have not been comprehensively identified. This study examines the determinants of farmers’ adoption decisions using the Diffusion of Innovations (DOI) theory, which comprises five key dimensions: Relative Advantage, Compatibility, Complexity, Trialability, and Observability, with Intention as a mediating variable. A quantitative approach was applied using Structural Equation Modeling – Partial Least Squares (SEM-PLS) with a sample of 379 farmers in the PT PLN (Persero) UP3 Ponorogo service area, selected through purposive sampling. The findings indicate that Relative Advantage and Compatibility significantly and positively influence adoption intention, whereas Complexity has a negative impact. Trialability and Observability also contribute moderately to adoption decisions. Intention significantly mediates the relationship between all five DOI dimensions and adoption behavior. These results provide strategic recommendations for PT PLN (Persero) to enhance the effectiveness of the Electrifying Agriculture program.
References
Harahap, L. M., Pakpahan, T. G., Wijaya, R. A., & Nasution, A. Z. (2024). Dampak transformasi digital pada agribisnis: Tantangan dan peluang bagi petani di Indonesia. Botani: Publikasi Ilmu Tanaman dan Agribisnis, 1(2), 99–108. https://doi.org/10.62951/botani.v1i2.55
Rahmawati, R., Semaun, R., Zainal, M., Fahmi, A., & Luthfiyansa, M. (2026). Implementasi pompa air tenaga surya untuk mendukung pertanian berkelanjutan di Desa Damai Kabupaten Sidrap. BEMAS: Jurnal Bermasyarakat, 7(1), 18-23. https://doi.org/10.37373/bemas.v7i1.1947
Yuliatin, U., Handoko, S., Hamdani, C. N., & Widiyanto, T. (2023). Sistem pompa listrik tenaga surya untuk irigasi lahan pertanian masyarakat Cepu. Jurnal Pengabdian Masyarakat Sains Indonesia, 5(2), 72–77. https://doi.org/10.29303/jpmsi.v5i2.252
Alfiani, R., & Hamidah, S. (2023). Farmers' response to the implementation of the Electrifying Agriculture Super Harvest Program (Studi Kasus Petani Lahan Pasir Kalurahan Srigading Kapanewon Sanden Kabupaten Bantul). Jurnal Pertanian Agros, 25(3), 2364–2371.
Musyafak, A., & Ibrahim, T. M. (2005). Strategi percepatan adopsi dan difusi inovasi pertanian mendukung Prima Tani. Analisis Kebijakan Pertanian, 3(1), 20–37.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Sudarmadji, H. (2012). Analisis faktor-faktor yang mempengaruhi adopsi teknologi pada usaha tani padi pola tanam Sri (System of Rice Intensification) di Kabupaten Sumenep. Jurnal Pertanian Cemara (Cendekiawan Madura), 9(1), 35–49.
Rochdiani, D., Wiyono, S., Kusno, K., Sulistyowati, L., Deliana, Y., Fatimah, S., & Mukti, G. (2019). Faktor-faktor yang mempengaruhi keputusan petani menggunakan teknologi pada budidaya manggis di Jawa Barat. Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis, 5(2), 355–368. https://doi.org/10.25157/ma.v5i2.2396
Bachri, M. R., Lubis, Y., & Harahap, G. (2019). Faktor-faktor yang mempengaruhi adopsi inovasi teknologi oleh petani padi sawah di Desa Kolam Kecamatan Percut Sei Tuan. Jurnal Ilmiah Pertanian (JIPERTA), 1(2), 175–186.
Permatasari, B. Y., & Kesaulya, C. M. A. U. (2024). Penerapan Innovation Diffusion Theory terhadap niat mengadopsi penggunaan fashionable medical scrub. TheJournalish: Social and Government, 5(1), 95–105.
Shantika, N. R., Ardiatama, A. L., Purwaningrum, O., Putra, Y. Y., & Syafira, A. O. (2022). Analisis adopsi inovasi teknologi informasi dompet digital DANA menggunakan Innovation-Diffusion Theory (IDT). Journal of Information System and Artificial Intelligence, 2(2), 80–91.
Hair, J. F., Jr., Anderson, R. E., Babin, B. J., & Black, W. C. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Subhaktiyasa, P. G. (2024). PLS-SEM for multivariate analysis: A practical guide to educational research using SmartPLS. EduLine: Journal of Education and Learning Innovation, 4(3). https://doi.org/10.35877/454RI.eduline2861
Cho, E., & Kim, S. (2015). Cronbach's coefficient alpha: Well known but poorly understood. Organizational Research Methods, 18(2), 207–230. https://doi.org/10.1177/1094428114555994
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222. https://doi.org/10.1287/isre.2.3.192
Akhsan, A., Nurlaela, N., & Astina, A. (2023). Innovation level of onion commodity management in Galung Lombok Village, West Sulawesi, Indonesia. Anjoro: International Journal of Agriculture and Business, 4(1), 29-38. https://doi.org/10.31605/anjoro.v4i1.2487
Saleh, A. R., Zaman, N., Siwalette, J. D., & Kembauw, E. (2024). Analisis faktor sosial ekonomi petani dalam adopsi teknologi pertanian presisi untuk peningkatan produktivitas tanaman pangan di daerah agro-ekologis tropis. Tumbuhan: Publikasi Ilmu Sosiologi Pertanian dan Ilmu Kehutanan, 1(1), 01–24. https://doi.org/10.62951/tumbuhan.v1i1.564
Intiaz, L. F., Prasetyo, A. S., & Prayoga, K. (2022). Tingkat adopsi inovasi teknologi combine harvester di Kelompok Tani Balong 01 Desa Tanjungbaru. Forum Agribisnis, 12(2), 113–125. https://doi.org/10.29244/fagb.12.2.113-125
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Dhani Kurniawan, Romauli Nainggolan

This work is licensed under a Creative Commons Attribution 4.0 International License.





