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Microbiological Analysis of Bali Beef with Different Aging Times Yuliyanti, Karenina Dwi; Adiputra, Kirana Dara Dinanti; Widiarta, I Putu Gede Didik; Nurmasytha, Andi
Bantara Journal of Animal Science Vol. 7 No. 1 (2025): BJAS
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/bjas.v7i1.6388

Abstract

Microbiological analysis of meat is crucial to ensure its safety, quality, and suitability for consumption. As a nutrient-rich medium, beef supports microbial growth, which can impact its quality. This study aimed to characterize the microbiological quality of Bali beef with different aging times. This study used three types of muscles: Longissimus dorsi, Gluteus medius, and Semitendinosus from Bali beef aged ± 3 years and body weight of ± 350 kg. Samples were aged at cold temperatures for 1, 21, and 42 days. A completely randomized design with a 3x3x4 factorial was used in this study. The least Square Means test was applied if the data obtained differed significantly. The research results show that the microbial count in the meat significantly increased during aging for 21 and 42 days. Longer aging periods in this study led to an increase in the microbial count.
The Effectiveness of Reproductive Innovations in Female Goats: A Qualitative Analysis of Productivity and Economic Sustainability in Goat Farming Widiarta, I Putu Gede Didik; Adiputra, Kirana Dara Dinanti; Yuliyanti, Karenina Dwi; Fatmarischa, Novemia; Suhardi, Suhardi
Jurnal Ilmiah Ilmu-Ilmu Peternakan Vol 28 No 2 (2025): November 2025
Publisher : Fakultas Peternakan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiiip.v28i2.39057

Abstract

Background: Goat farming in Indonesia plays a crucial role in enhancing rural incomes and improving food security. This study investigates the effectiveness of reproductive innovations, including artificial insemination (AI) and hormone synchronization, in boosting productivity and economic sustainability in goat farming. Purpose: This research aims to analyze the impact of artificial insemination (AI) and hormone synchronization on the reproductive efficiency of goats, to identify factors influencing the adoption of these technologies among small-scale goat farmers in Samarinda, Indonesia, and to determine the role of social capital in overcoming adoption barriers. Methods: This study uses a qualitative research approach with a survey method through in-depth interviews, focus group discussions (FGDs), and participatory observations. The sample consists of 15 small-scale goat farmers in Samarinda, Indonesia. Data were analyzed using thematic analysis to identify key challenges and benefits associated with the adoption of reproductive technologies. Results: The findings show that artificial insemination (AI) and hormone synchronization significantly increased reproductive efficiency, resulting in improved offspring production and reduced kidding intervals. However, adoption rates were constrained by high initial costs, limited technical support, and socio-economic barriers such as low education levels and restricted market access. Farmers who were part of cooperative networks achieved better outcomes, demonstrating the importance of social capital in overcoming adoption challenges. Conclusion: Based on the research findings, reproductive technologies have the potential to enhance goat farming productivity and economic sustainability. However, their successful implementation requires supportive policy interventions, including farmer training, improved access to resources, and strengthened market linkages to facilitate wider adoption.