Faktor-Faktor yang Mempengaruhi Keberhasilan Inseminasi Buatan dan Dampaknya terhadap Keberlanjutan Ekonomi Peternak Sapi Potong di Kabupaten Sinjai

ABSTRAK MUH HAWIS HAKIM. Faktor-Faktor yang Mempengaruhi Keberhasilan Inseminasi Buatan dan Dampaknya terhadap Keberlanjutan Ekonomi Peternak Sapi Potong di Kabupaten Sinjai (dibimbing oleh Ahmad Ramadhan Siregar dan Syahdar Baba). Inseminasi Buatan (IB) merupakan teknologi reproduksi yang berperan penting dalam meningkatkan mutu genetik, produktivitas ternak, dan keberlanjutan ekonomi peternak sapi potong. Namun, keberhasilan IB tidak hanya dipengaruhi oleh faktor teknis, tetapi juga oleh pengetahuan peternak, kinerja inseminator, sarana dan prasarana, dukungan kelembagaan, akses layanan IB, sistem pemeliharaan ternak, serta kemampuan finansial peternak. Penelitian ini bertujuan menganalisis faktor- faktor yang mempengaruhi keberhasilan IB dan dampaknya terhadap keberlanjutan ekonomi peternak sapi potong di Kabupaten Sinjai. Penelitian ini menggunakan pendekatan kuantitatif eksplanatif. Populasi penelitian berjumlah 1.541 peternak akseptor IB di Kecamatan Sinjai Tengah dan Tellulimpoe, dengan sampel sebanyak 94 responden yang ditentukan menggunakan rumus Slovin dan teknik proportional sampling. Data dikumpulkan melalui kuesioner, wawancara, dan observasi lapangan, kemudian dianalisis menggunakan Partial Least Square-Structural Equation Modeling (PLS-SEM). Pengetahuan peternak, kinerja inseminator, sarana dan prasarana, sistem pemeliharaan, serta kemampuan finansial berpengaruh positif dan signifikan terhadap keberhasilan IB. Kinerja inseminator menjadi faktor paling dominan. Dukungan kelembagaan dan akses layanan IB berpengaruh positif namun tidak signifikan. Keberhasilan IB berpengaruh positif dan signifikan terhadap keberlanjutan ekonomi peternak. Model penelitian mampu menjelaskan 92,8% variasi keberhasilan IB dan 60,7% variasi keberlanjutan ekonomi peternak. Keberhasilan IB menjadi faktor penting dalam memperkuat keberlanjutan ekonomi peternak sapi potong melalui peningkatan produktivitas, efisiensi usaha, dan potensi pendapatan peternak. ABSTRACT MUH HAWIS HAKIM. Factors Affecting the Success of Artificial Insemination and Its Impact on the Economic Sustainability of Beef Cattle Farmers in Sinjai Regency (supervised by Ahmad Ramadhan Siregar and Syahdar Baba). Artificial Insemination (AI) is a reproductive technology that plays a crucial role in enhancing genetic quality, improving livestock productivity, and promoting the economic sustainability of beef cattle farmers. However, AI success is influenced not only by technical factors but also by farmers’ knowledge, inseminator performance, facilities and infrastructure, institutional support, access to AI services, livestock management systems, and farmers’ financial capacity. This study aimed to analyse the factors affecting the success of AI and its impact on the economic sustainability of beef cattle farmers in Sinjai Regency. This study used an explanatory quantitative approach with a cross- sectional design. The population consisted of 1,541 AI adopter farmers in Sinjai Tengah and Tellulimpoe Districts, with 94 respondents selected using the Slovin formula and proportional sampling technique. Data were collected through questionnaires, interviews, and field observations and were analysed using partial least squares-structured equation modelling (PLS-SEM). Farmers’ knowledge, inseminator performance, facilities and infrastructure, livestock management systems, and financial capacity had positive and significant effects on the success of AI. Inseminator performance was the most important factor. Institutional support and access to AI services had positive but insignificant effects. AI success had a positive and significant effect on the economic sustainability of farmers. The model explained 92.8% of the variation in AI success and 60.7% of the variation in economic sustainability. AI success is an important factor in strengthening the economic sustainability of beef cattle farmers by improving productivity, business efficiency, and income potential. artificial insemination, beef cattle, AI success, economic sustainability, partial least squares structural equation modelling