FACTORS INFLUENCING THE FARMERS’ BEHAVIORAL INTENTIONS OF FARMER CARDS IN SUMENEP REGENCY

Authors

  • Laras Nur Fitriani Program Studi Magister Agribisnis Fakultas Pertanian Universitas Sebelas Maret
  • Darsono Darsono Program Studi Magister Agribisnis Fakultas Pertanian Universitas Sebelas Maret
  • Umi Barokah Program Studi Magister Agribisnis Fakultas Pertanian Universitas Sebelas Maret

DOI:

https://doi.org/10.24246/agric.2022.v34.i2.p261-274

Keywords:

Farmer Card, Readiness, Subsidized Fertilizer

Abstract

Many factors cause the issue of fertilizer subsidies. One of them is about the implemented system has not been running optimally. The Farmer Card is an innovation to obtain subsidized fertilizers. The innovation has many obstacles, including the lack of awareness and knowledge of farmers’ human resources (HR) in understanding the innovations’ usefulness. The study’s objective was to determine the factors influencing the acceptance of the Farmer Card based on the Technology Readiness and Acceptance Model (TRAM). Primary data were gained from the farmers by taking a simple random sampling method using the Hair formula for as many as 115 farmers using Farmer Card in Kabupaten Sumenep. The data were analyzed using the quantitative descriptive method through the Partial Least Square (PLS) technique. The study’s objective was to determine the effect of optimism, innovativeness, discomfort, insecurity, perceived usefulness, and perceived ease of use on behavioral intention to use in technology readiness with a p-value of 0.000 (<0.05). The test results show that the variables of optimism (H1 and H2), discomfort (H5), perceived usefulness (H9), and perceived ease of use (H10) have a significant effect on behavioral intention to use Farmer Card. Testing the effect of innovativeness (H3 and H4), discomfort (H6), and insecurity (H7 and H8) showed a p-value of 0.091; 0.259; 0.127; 0.853; 0.385 (> 0.05) means that it has no significance. For the Farmer Card program to be successful, it is recommended to enhance cooperation further and shared views among the farmers and stakeholders.

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References

Ahmad, Z., & Wibowo, R. 2021. Dampak Kebijakan Kartu Tani terhadap Produksi dan Efisiensi Usahatani Padi di Kabupaten Jember. JURNAL PANGAN, 30(2), 107–116.

Ashari, M. L., & Hariani, D. 2019. Analisis Efektivitas Program Kartu Tani di Kecamatan Banjarnegara Kabupaten Banjarnegara. Journal of Public Policy and Management Review, 8(2), 574– 594.

Chakim, M. L. 2019. Pengaruh Implementasi Kartu Tani Terhadap Efektivitas Penyaluran Pupuk Bersubsidi di Kabupaten Kendal, Jawa Tengah. Jurnal Pangan, 28(3), 171–182.

Chiu, W., & Cho, H. 2020. The Role of Technology Readiness in Individuals’ Intention to Use Health and Fitness Applications: a Comparison Between Users and Non-Users. Asia Pacific Journal of Marketing and Logistics. https://doi.org/10.1108/APJML-09- 2019-0534

Colby, C. L., & Parasuraman, A. 2001. Techno-Ready Marketing: How and Why Customers Adopt Technology. Simon and Schuster.

Dawes, J. 2008. Do Data Characteristics Change According to The Number of Scale Points Used? An Experiment Using 5-Point, 7-Point and 10-Point Scales. International Journal of Market Research, 50(1), 61–77. https://doi.org/10.1177/147078530805000106

Fahmi, D. N., & Maria, M. 2020. Persepsi Petani Terhadap Implementasi Kartu Tani (Studi Kasus desa Kadirejo, Kecamatan Pabelan, Kabupaten Semarang). Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis, 19(2), 315–330.

Ghozali, I. 2014. SEM Metode Alternatif dengan menggunakan Partial Least Squares (PLS). Semarang: Badan Penerbit Universitas Diponegoro.

Godoe, P., & Johansen, T. 2012. Understanding Adoption of New Technologies: Technology Readiness and Technology Acceptance as an Integrated Concept. Journal of European Psychology Students, 3(1).

Hair Joe F., J., Sarstedt, M., Matthews, L. M., & Ringle, C. M. 2016. Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I – method. European Business Review, 28(1), 63– 76. https://doi.org/10.1108/EBR-09- 2015-0094.

Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. 2016. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage publications.

Henseler, J., Ringle, C. M., & Sarstedt, M. 2015. A New Criterion for Assessing Discriminant Validity in Variance- Based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

Hsu, C. L., & Lu, H. P. 2007. Consumer Behavior in Online Game Communities: A Motivational Factor Perspective. Computers in Human Behavior, 23(3), 1642–1659. https://doi.org/10.1016/j.chb.2005.09.001

Hutapea, R., Kohar, A., & Rosyid, A. 2012. Peranan Wanita Nelayan (Istri Nelayan) Jaring Insang Dalam Meningkatkan Pendapatan Keluarga di Desa Bejalen, Perairan Rawa Pening, Kecamatan Ambarawa, Kabu- paten Semarang. Journal of Fisheries Resources Utilization Management and Technology, 1(1), 1–10.

Hwang, Y., & Yi, M. 2002. Predicting The Use of Web-Based Information Systems: Intrinsic Motivation and Self- Efficacy. AMCIS 2002 Proceedings, 149.

Impiani, E., Reswita, R., & Sukiyono, K. 2020. The Satisfaction Level of Oil Palm Farmers on The Service of Marketing Institutions in Penarik Subdistrict Mukomuko District. Agric, 32(1), 13–28.

Martens, M., Roll, O., & Elliott, R. 2017. Testing the Technology Readiness and Acceptance Model for Mobile Payments Across Germany and South Africa. International Journal of Innovation and Technology Management, 14(6). https://doi.org/10.1142/S021987701750033X

Meliyanawati, M., Sumekar, W., & Dalmiyatun, T. 2020. Pengaruh Sikap dan Motivasi Petani Terhadap Adopsi Program Kartu Tani Pada Petani Tanaman Padi di Kabupaten Grobogan.Agrisocionomics: Jurnal Sosial Ekonomi Pertanian, 4(1), 162-175.

Mun, Y. Y., & Hwang, Y. 2003. Predicting The Use of Web-Based Information Systems: Self-Efficacy, Enjoyment, Learning Goal Orientation, and The Technology Acceptance Model. International Journal of Human- Computer Studies, 59(4), 431-449.

Pasaribu, S. 2020. Persepsi Petani dan Permasalahan Program Kartu Tani Mendukung Distribusi Pupuk Bersubsidi. Jurnal Ekonomi dan Pembangunan, 28(2).

Pertanian, K. 2017. Petunjuk Pelaksanaan Penyediaan dan Penyaluran Pupuk Bersubsidi TA. 2018. Jakarta: Direktorat Jenderal Prasarana dan Sarana Pertanian Kementerian Pertanian.

Pramuditya, M. A. H., & Prihtanti, T. M. 2019. Persepsi Petani Terhadap Budidaya Gandum Tropis. Agric, 31(2), 176-190.

Rosmayanti, H., Aryadita, H., & Herlambang, A. D. 2018. Analisis Penerimaan Teknologi Cloud Storage Menggunakan Technology Readiness Acceptance Model (TRAM) Pada Badan Eksekutif Mahasiswa Institut Teknologi Sepuluh Nopember. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer E-ISSN, 2548, 964X.

Shin, S., & Lee, W. 2014. The Effects of Technology Readiness and Technology Acceptance on NFC Mobile Payment Services in Korea. Journal of Applied Business Research (JABR), 30(6), 1615-1626.

Suryana, A., Agustian, A., & Yofa, R. D. 2016. Alternatif Kebijakan Penyaluran Subsidi Pupuk Bagi Petani Pangan. Analisis Kebijakan Pertanian, 14(1), 35-54.

Susila, W. R. 2010. Kebijakan Subsidi Pupuk: Ditinjau Kembali. Jurnal Litbang Pertanian, 29(2), 43-49.

Susilowati, S. H. 2016. Urgensi dan Opsi Perubahan Kebijakan Subsidi Pupuk. Analisis Kebijakan Pertanian, 14(2), 163-185.

Walczuch, R., Lemmink, J., & Streukens, S. 2007. The Effect of Service Employees’ Technology Readiness on Technology Acceptance. Information and Management, 44(2), 206-215. https://doi.org/10.1016 /j.im.2006.12.005.

Yuliana, A., & Nadapdap, H. J. 2020. Faktor yang Mempengaruhi Keputusan Adopsi Petani terhadap Kartu Tani di Eks-Karesidenan Surakarta. Jurnal Pertanian Agros, 22(2), 94-104.

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Published

2022-12-17

How to Cite

Fitriani, L. N., Darsono, D., & Barokah, U. (2022). FACTORS INFLUENCING THE FARMERS’ BEHAVIORAL INTENTIONS OF FARMER CARDS IN SUMENEP REGENCY. Agric, 34(2), 261–274. https://doi.org/10.24246/agric.2022.v34.i2.p261-274

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