Cultivating the Future: Analyzing the Adoption Extent and Adoption Factors of Technology Among Agriculture MSMEs in Pamijahan, Bogor Regency
Abstract
The rapid evolution of agricultural technology offers unique opportunities and challenges, particularly for micro, small, and medium enterprises (MSMEs) in the food crop sector. This study investigates the adoption of agricultural technology among rice farmers in Pamijahan, an area pivotal for rice production in Bogor Regency. The study's objectives are to analyze the extent and factors influencing agricultural technology adoption among rice farmers in Pamijahan. The methodological approach begins with cross-tabulation to analyze the extent of technology adoption across various processes in the agribusiness management system and followed by multiple linear regression analysis based on the simplified Technology Acceptance Model (TAM), integrating variables such as perceived usefulness, ease of use, and attitudinal tendencies. Data were gathered over a period of five months. Primary data collection involved structured questionnaires targeted at rice farmers, while secondary data was obtained from institutional reports. The results reveal a moderate adoption level, with significant use of staple seed, hand tractor, and simple grinding technologies, but a persistent reliance on manual methods for planting and harvesting. The TAM analysis shows that perceived usefulness, ease of use, and attitudes towards technology are key influencers of adoption, accounting for 67.7% of the variance in farmers' intention to use technology. These findings underscore the importance of farmers' perceptions of technology adoption and suggest that improving technology understanding and accessibility could significantly enhance adoption rates, promoting agricultural productivity and sustainability in smallholder farming.
References
Atta‐Aidoo, J., Antwi‐Agyei, P., Dougill, A., Ogbanje, C., Akoto-Danso, E., & Eze, S. (2022). Adoption of climate-smart agricultural practices by smallholder farmers in rural ghana: an application of the theory of planned behavior. Plos Climate, 1(10), e0000082. https://doi.org/10.1371/journal.pclm.0000082
Amruddin, Fahmi, A., & Hikmah. 2021. Manajemen Agribisnis. CV. Media Sains Indonesia. Bandung. ID.
Asnur, P. 2021. Evaluasi kemampuan dan kesesuaian lahan pertanian di Kabupaten Bogor. UG Journal. 14(2).
Azra, A.L.Z., Arifin, H.S., Astawan, M., & HS Arifin, N. 2014. Analisis karakteristik pekarangan dalam mendukung penganekaragaman pangan keluarga di Kabupaten Bogor. Jurnal Lanskap Indonesia. 6(2).
[BI] Bank Indonesia & Lembaga Pengembangan Perbankan Indonesia. 2015. Profil Bisnis Usaha Mikro, Kecil dan Menengah (UMKM), Bank Indonesia dan LPPI. Bank Indonesia. Jakarta. ID.
[BI] Bank Indonesia & Lembaga Pengembangan Perbankan Indonesia. 2022. Konsumennya saja sudah digital, UMKM-nya juga dong!. URL: https://www.bi.go.id/id/publikasi/ruang-media/cerita-bi/Pages/Konsumennya-Saja-Sudah-Digital-UMKM-nya-Juga-Dong.aspx. Diakses tanggal 2 Februari 2023.
[BPS] Badan Pusat Statistik. 2022. Distribusi PDB triwulanan seri 2010 atas dasar harga berlaku (persen), 2022. URL: https://www.bps.go.id/indicator/11/106/1/-seri-2010-distribusi-pdb-triwulanan-seri-2010-atas-dasar-harga-berlaku.html. Diakses tanggal 1 Februari 2023.
Caffaro, F., Bisaglia, C., Cutini, M., Cremasco, M., & Cavallo, E. (2018). A method to evaluate the perceived ease of use of human-machine interface in agricultural tractors equipped with continuously variable transmission (cvt). Spanish Journal of Agricultural Research, 15(4), e0210. https://doi.org/10.5424/sjar/2017154-10726
Cheng, V. and Guo, R. (2021). The impact of consumers’ attitudes towards technology on the acceptance of hotel technology-based innovation. Journal of Hospitality and Tourism Technology, 12(4), 624-640. https://doi.org/10.1108/jhtt-06-2020-0145
Chiang, C., Lin, H., & Tu, S. (2013). Analyzing behaviors influencing use of mobile coupons from the perspective of transaction utility. Social Behavior and Personality an International Journal, 41(3), 433-441. https://doi.org/10.2224/sbp.2013.41.3.433
Chuang, J., Wang, J., & Liang, C. (2020). Implementation of internet of things depends on intention: young farmers’ willingness to accept innovative technology. International Food and Agribusiness Management Review, 23(2), 253-266. https://doi.org/10.22434/ifamr2019.0121
Curran, J., Meuter, M., & Surprenant, C. (2003). Intentions to use self-service technologies: a confluence of multiple attitudes. Journal of Service Research, 5(3), 209-224. https://doi.org/10.1177/1094670502238916
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Mis Quarterly, 13(3), 319. https://doi.org/10.2307/249008
Davis, F., Bagozzi, R., & Warshaw, P. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, F., Bagozzi, R., & Warshaw, P. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
Dong, H., Wang, H., & Han, J. (2022). Understanding ecological agricultural technology adoption in china using an integrated technology acceptance model—theory of planned behavior model. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.927668
Gai, H., Yan, T., Anran, Z., Batchelor, W., & Tian, Y. (2021). Exploring factors influencing farmers’ continuance intention to crop residue retention: evidence from rural china. International Journal of Environmental Research and Public Health, 18(14), 7412. https://doi.org/10.3390/ijerph18147412
Hamad, K. and Ahmad, A. (2019). Computerized pedagogical management among school teachers. Journal of Education and Culture Studies, 3(2), 82. https://doi.org/10.22158/jecs.v3n2p82
Holden, R. and Karsh, B. (2010). The technology acceptance model: its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159-172. https://doi.org/10.1016/j.jbi.2009.07.002
Jalil, M.F., Ali, A., & Kamarulzaman, R. 2021. Does innovation capability improve SME performance in Malaysia? The mediating effect of technology adoption. The International Journal of Entrepreneurship and Innovation. 23(4): 253–267. https://doi.org/10.1177/1465750321104896.
Karkouti, I. (2021). Integrating technology in qatar’s higher education settings: what helps faculty accomplish the job. Technology Knowledge and Learning. https://doi.org/10.1007/s10758-021-09553-y
Kazeem, A., Akerele, D., Oyekunle, O., Abiodun, E., & Komolafe, L. (2017). Attitudes of farmers to extension trainings in nigeria: implications for adoption of improved agricultural technologies in ogun state southwest region. Journal of Agricultural Sciences Belgrade, 62(4), 423-443. https://doi.org/10.2298/jas1704423k
[Kemenkop UKM] Kementerian Koperasi dan UKM. 2023. KUMKM dalam angka. URL: https://kemenkopukm.go.id/kumkm-dalam-angka. Diakses tanggal 1 Februari 2023.
[Kementan] Kementerian Pertanian. 2020. Statistik ketenagakerjaan sektor pertanian. URL: https://satudata.pertanian.go.id/assets/docs/publikasi. Diakses tanggal 1 Februari 2023.
Kwak, D. and McDaniel, S. (2011). Using an extended technology acceptance model in exploring antecedents to adopting fantasy sports league websites. International Journal of Sports Marketing and Sponsorship, 12(3), 43-56. https://doi.org/10.1108/ijsms-12-03-2011-b005
Kwok, D. and Silin, Y. (2017). Evaluating the intention to use ict collaborative tools in a social constructivist environment. International Journal of Educational Technology in Higher Education, 14(1). https://doi.org/10.1186/s41239-017-0070-1
Lin, C., Shih, H., Sher, P., & Wang, Y. (2005). Consumer adoption of e-service: integrating technology readiness with the technology acceptance model.. https://doi.org/10.1109/picmet.2005.1509728
Mardhiah, A., Farisha, N., Yuan, W., & Tony, F. (2022). Investigating the influence of perceived ease of use and perceived usefulness on housekeeping technology intention to use. International Journal of Academic Research in Business and Social Sciences, 12(11). https://doi.org/10.6007/ijarbss/v12-i11/15657
Massresha, S., Lema, T., Neway, M., & Degu, W. (2021). Perception and determinants of agricultural technology adoption in north shoa zone, amhara regional state, ethiopia. Cogent Economics & Finance, 9(1). https://doi.org/10.1080/23322039.2021.1956774
Neville, K. and Fitzgerald, B. (2002). An innovative training model for an organization embracing technology. Journal of Information Technology Education Research, 1, 193-200. https://doi.org/10.28945/355
Nguyen, T., Doan, X., Nguyen, T., & Nguyen, T. (2021). Factors affecting vietnamese farmers' intention toward organic agricultural production. International Journal of Social Economics, 48(8), 1213-1228. https://doi.org/10.1108/ijse-08-2020-0554
Pillai, R. and Sivathanu, B. (2020). Adoption of internet of things (iot) in the agriculture industry deploying the brt framework. Benchmarking an International Journal, 27(4), 1341-1368. https://doi.org/10.1108/bij-08-2019-0361
Rambe, P., & Khaola, P. 2021. The impact of innovation on agribusiness competitiveness: the mediating role of technology transfer and productivity. European Journal of Innovation Management. 25(3): 741–773. https://doi.org/10.1108/ejim-05-2020-0180.
Salam, M. (2019). Inclusion of perceived risk with tam in measuring attitude toward online banking. EJBM. https://doi.org/10.7176/ejbm/11-2-08
Sanjaya, I. (2017). Pengaruh rasa manfaat dan kemudahan terhadap minat berperilaku (behavioral intention) para mahasiswa dan mahasiswi dalam penggunaan internet. Kinerja, 9(2), 113-122. https://doi.org/10.24002/kinerja.v9i2.909
Saputra, F., Makhrian, A., & Grahatama, B. (2023). Online learning acceptance model of indonesian students during the covid-19 pandemic. Kne Social Sciences. https://doi.org/10.18502/kss.v8i2.12764
Schepers, J. and Wetzels, M. (2007). A meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects. Information & Management, 44(1), 90-103. https://doi.org/10.1016/j.im.2006.10.007
Sepriani, W. & Yuliawati, 2022. Penyerapan tenaga kerja oleh sektor pertanian tahun 2016-2021. Jurnal Samudra Ekonomika, 6(1).
Shao, C. (2019). An empirical study on the identification of driving factors of satisfaction with online learning based on tam*.. https://doi.org/10.2991/aebmr.k.191225.205
Shroff, R., Deneen, C., & Ng, E. (2011). Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system. Australasian Journal of Educational Technology, 27(4). https://doi.org/10.14742/ajet.940
Silin, Y. and Kwok, D. (2016). A study of students’ attitudes towards using ict in a social constructivist environment. Australasian Journal of Educational Technology. https://doi.org/10.14742/ajet.2890
Syan, A., Kumar, V., Sandhu, V., & Hundal, B. (2019). Empirical analysis of farmers’ intention to adopt sustainable agricultural practices. Asia-Pacific Journal of Management Research and Innovation, 15(1-2), 39-52. https://doi.org/10.1177/2319510x19848857
T. N. Padilah and R. I. Adam, “Analisis Regresi Linier Berganda Dalam Estimasi Produktivitas Tanaman Padi Di Kabupaten Karawang,” FIBONACCI J. Pendidik. Mat. dan Mat., vol. 5, no. 2, p. 117, 2019, doi: 10.24853/fbc.5.2.117-128
Tan, P. (2019). An empirical study of how the learning attitudes of college students toward english e-tutoring websites affect site sustainability. Sustainability, 11(6), 1748. https://doi.org/10.3390/su11061748
Veltheim, F. and Heise, H. (2020). The agtech startup perspective to farmers ex ante acceptance process of autonomous field robots. Sustainability, 12(24), 10570. https://doi.org/10.3390/su122410570
Veltheim, F. R. v. and Heise, H. (2020). The agtech startup perspective to farmers ex ante acceptance process of autonomous field robots. Sustainability, 12(24), 10570. https://doi.org/10.3390/su122410570
Venkatesh, V. and Davis, F. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’ technology readiness on technology acceptance. Information & Management, 44(2), 206-215. https://doi.org/10.1016/j.im.2006.12.005
Widjanarko, M., Harahap, F., Latief, V., Brillianda, I., & Kartika, L. (2023). Designing a Salary Structure for SME XYZ in the Bogor Regency Using a Regression-Based Approach Based on Job Value. Jurnal Ilmiah Wahana Pendidikan, 9(14), 450-466. https://doi.org/10.5281/zenodo.8176189
Wong, C., An, P., Wong, F., & Subramaniam, K. (2021). Factors influencing the consumers adoption of e-commerce in the agricultural market. International Journal of Academic Research in Business and Social Sciences, 11(7). https://doi.org/10.6007/ijarbss/v11-i7/10383


