Determinants of cattle productivity under the UPSUS SIWAB program in Buru Regency
DOI:
https://doi.org/10.35334/atcgn095Keywords:
Artificial insemination, Cattle productivity, Farmer knowledge, Livestock feed, PLS-SEM, UPSUS SIWABAbstract
The UPSUS SIWAB program was introduced to improve bovine reproductive performance and cattle productivity through artificial insemination (AI), feed support, and stronger farmer capacity. Lolong Guba District is an important program implementation area in Buru Regency, Maluku Province, but the factors associated with productivity among participating farmers have not been clearly established. This study described participant farm profiles and analyzed the determinants of cattle productivity. A cross-sectional survey was conducted from 25 January to 25 February 2026 among 60 cattle farmers drawn from a population of 206. Primary data were obtained through interviews, field observations, and documentation, while secondary data were compiled from relevant government agencies. The relationships among land tenure rights, the availability of AI inputs and feed, farmer knowledge, and cattle productivity were evaluated using partial least squares structural equation modeling. Most respondents had completed elementary school (65.0%), and 71.7% combined crop farming with cattle raising. The structural model explained 37.7% of the variance in cattle productivity (adjusted R² = 0.344). AI-input and feed availability positively affected farmer knowledge (β = 0.486, t = 4.012, p < 0.001), while farmer knowledge positively affected cattle productivity (β = 0.548, t = 4.550, p < 0.001). The other modeled paths were not significant. These findings indicate that reliable input delivery should be integrated with practical reproductive-management education to improve program outcomes.
References
[1] Affandhy, L., Dikman, M., & Aryogi. (2007). Petunjuk teknis manajemen perkawinan sapi potong. Loka Penelitian Sapi Potong, Pusat Penelitian dan Pengembangan Peternakan.
[2] Amar, A. L. (2008). Strategi penyediaan pakan hijauan untuk pengembangan sapi potong di Sulawesi Selatan. In A. L. Amar et al. (Eds.), Pengembangan sapi potong untuk mendukung percepatan pencapaian swasembada daging sapi 2008–2010 (pp. 172–179). Proceedings of the National Seminar, Palu, Indonesia.
[3] Bahri, S., & Tiesnamurti, B. (2012). Strategi pembangunan peternakan berkelanjutan dengan memanfaatkan sumber daya lokal. Jurnal Litbang Pertanian, 31(4), 142–152.
[4] Bamualim, A. M., Tiesnamurti, B., & Thalib, C. (2008). Arah penelitian pengembangan sapi potong di Indonesia. In A. L. Amar et al. (Eds.), Pengembangan sapi potong untuk mendukung percepatan pencapaian swasembada daging sapi 2008–2010 (pp. 4–12). Proceedings of the National Seminar, Palu, Indonesia.
[5] Bonewati, Y. I. (2020). Adopsi teknologi inseminasi buatan pada peternak sapi potong di Kabupaten Soppeng: Studi kasus capaian kinerja UPSUS SIWAB tahun 2018 [Master’s thesis, Universitas Hasanuddin].
[6] Ermen, M., Ardhani, F., & Ismanto, A. (2021). Evaluasi keberhasilan inseminasi buatan (IB) program UPSUS SIWAB di Kabupaten Berau. Jurnal Peternakan Lingkungan Tropis, 4(1), 13–25.
[7] Fadwiwati, A. Y., Hipi, A., Hertanto, D., Nasiru, R. H. A., Rosdiana, & Anas, S. (2019). Strategi peningkatan produktivitas ternak sapi melalui program SIWAB di Gorontalo. Jurnal Ilmu Pertanian, 4(2), 58–67.
[8] Fania, B., Trilaksana, G. N. B., & Puja, K. I. (2020). Keberhasilan inseminasi buatan (IB) pada sapi Bali di Kecamatan Mengwi, Badung, Bali. Indonesia Medicus Veterinus, 9(2), 177–178.
[9] Firman, A., Nurlina, L., & Fitriani, A. (2020). Evaluasi dan nilai manfaat ekonomi atas program Upaya Khusus Sapi Indukan Wajib Bunting (UPSUS SIWAB) pada ternak sapi perah di Kabupaten Garut. Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis, 6(2), 1113–1121.
[10] Hasan, S. (2013). Perkembangan dan penerapan teknologi peternakan dalam mendorong industri perbibitan sapi potong di Sulawesi Selatan. Seminar Nasional dan Forum Komunikasi Industri Peternakan IPB, 112–116.
[11] Hastuti, D. (2008). Tingkat keberhasilan inseminasi buatan sapi potong ditinjau dari angka konsepsi dan service per conception. Mediagro, 4(1), 1–20.
[12] Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.
[13] Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
[14] 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. https://doi.org/10.1007/s11747-014-0403-8
[15] Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE.
[16] Maluku Provincial Agriculture Office. (2020). UPSUS SIWAB implementation data for Maluku Province and Buru Regency, 2017–2020 [Unpublished administrative data]
