Electronic Theses and Dissertation

Penelitian ini didasari oleh tingginya potensi usahatani bawang merah di kecamatan simpang tiga, kabupaten pidie, serta masih terbatasnya pemanfaatan teknologi pertanian berbasis digital, khususnya soil sensor. meskipun sebagian petani telah memiliki kepedulian terhadap kondisi tanah melalui penggunaan pupuk organik dan pengukuran ph secara manual, pemahaman terhadap teknologi soil sensor masih belum optimal. kondisi tersebut menunjukkan adanya kesenjangan antara kebutuhan teknologi pertanian presisi dan kesiapan belajar petani dalam memahami teknologi baru. penelitian ini bertujuan untuk mengetahui tingkat pentingnya penggunaan soil sensor bagi petani bawang merah, menganalisis faktor-faktor yang mempengaruhi sikap belajar petani dalam mempelajari teknologi soil sensor, serta mengidentifikasi metode pembelajaran yang paling disukai petani. penelitian dilakukan di kecamatan simpang tiga, kabupaten pidie, dengan jumlah responden sebanyak 64 petani bawang merah yang dipilih menggunakan metode accidental sampling. data yang digunakan terdiri atas data primer melalui kuesioner dan data sekunder dari instansi terkait. metode analisis yang digunakan adalah analisis deskriptif dan regresi logistik biner. hasil penelitian menunjukkan bahwa penggunaan soil sensor dinilai sangat penting oleh petani karena dapat membantu memantau kondisi tanah dan mendukung pengambilan keputusan usahatani. mayoritas petani juga menunjukkan sikap untuk mempelajari teknologi soil sensor. metode pembelajaran yang paling disukai petani adalah media sosial, disusul pelatihan langsung. hasil regresi logistik biner menunjukkan bahwa variabel usia dan penggunaan media sosial berpengaruh signifikan terhadap sikap belajar petani, sedangkan jenis kelamin, pendidikan, pendapatan, luas lahan, pengalaman bertani, hubungan dengan pakar atau penyuluh pertanian, dan jumlah tanggungan tidak berpengaruh signifikan. dengan demikian, pengenalan teknologi soil sensor perlu didukung melalui media digital dan pelatihan langsung yang mudah dipahami petani.

This study was motivated by the high potential of shallot farming in Simpang Tiga Subdistrict, Pidie Regency, as well as the still limited use of digital agricultural technology, particularly soil sensors. Although some farmers are already mindful of soil conditions through the use of organic fertilizers and manual pH measurements, their understanding of soil sensor technology remains suboptimal. This situation indicates a gap between the need for precision agricultural technology and farmers’ readiness to learn about new technologies. This study aims to determine the perceived importance of soil sensors among shallot farmers, analyze the factors influencing farmers’ attitudes toward learning about soil sensor technology, and identify the learning methods most preferred by farmers. The study was conducted in Simpang Tiga Subdistrict, Pidie Regency, with a sample of 64 shallot farmers selected using accidental sampling. The data consisted of primary data collected via questionnaires and secondary data from relevant agencies. The analytical methods used were descriptive analysis and binary logistic regression. The results of the study indicate that farmers consider the use of soil sensors to be very important because they can help monitor soil conditions and support farming decision-making. The majority of farmers also expressed a willingness to learn about soil sensor technology. The learning method most preferred by farmers was social media, followed by in-person training. The results of the binary logistic regression show that the variables of age and social media use have a significant effect on farmers’ attitudes toward learning, whereas gender, education, income, land area, farming experience, relationships with agricultural experts or extension workers, and the number of dependents do not have a significant effect. Thus, the introduction of soil sensor technology needs to be supported through digital media and hands-on training that is easy for farmers to understand.