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Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science)
Published by Universitas Brawijaya
ISSN : 08523681     EISSN : 24430765     DOI : 10.21776/ub.jiip
Core Subject : Education,
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Jurnal Ilmu-Ilmu Peternakan (JIIP) is a journal published and managed by the Faculty of Animal Husbandry Universitas Brawijaya. JIIP is a peer-reviewed journal published three times a year. JIIP now actively using Open Journal System (OJS). JIIP mediates the dissemination of researchers various disciplines of animal science, such as animal feed and nutrition; animal reproduction, genetics, and production; social and economic; and animal products science and technology.
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Articles 492 Documents
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Economic Assessment of Quality-Related Revenue Loss in a Closed-House Layer System: An Opportunity Cost Analysis Wahidiyah, Synta Nur; Huang, Wen Chi; Prafitri, Rizki; Nuningtyas, Yuli Frita
Jurnal Ilmu-Ilmu Peternakan Vol. 36 No. 1 (2026): April 2026
Publisher : Faculty of Animal Science, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiip.2026.036.01.5

Abstract

This study evaluates the technical performance and economic implications of egg quality degradation in a closed-house layer system at UB Teaching Farm, Indonesia, across three production cycles (2020–2024). While automated systems are designed to optimize efficiency, hidden revenue leakage due to quality attrition is frequently overlooked in traditional financial analyses. Weekly production records were analyzed to quantify degraded egg rates and financial attrition using an opportunity cost framework. Differences in quality-related attrition across production cycles were evaluated using One-Way Analysis of Variance (ANOVA). The research quantified revenue loss resulting from the price disparity between Grade A eggs and abnormal (cracked/damaged) eggs. Results showed a total cumulative volume of 2,473 kg of abnormal eggs across the three cycles. Due to a contractual price agreement that limited the price gap to IDR 1,000/kg, the total cumulative revenue loss was contained at IDR 2,488,300. Economically, the study identified a cumulative revenue loss (P<0.05). Although physical attrition is below the 1% threshold, this loss represents a direct reduction in net profit margins and is equivalent to the cost of approximately 355 kg of high-quality layer feed. This study concludes that sustainable poultry management in closed-house systems requires not only advanced technology but also rigorous mechanical maintenance and data-driven interventions to mitigate quality-related financial leakage.
Principal Component Analysis of Morphometric Traits and Their Association With Body Weight in Indigenous Kacang Goats of Binongko Island, Southeast Sulawesi Rahadi, Syam; Irawati; Sandiah, Natsir; Rusdin, Muh.
Jurnal Ilmu-Ilmu Peternakan Vol. 36 No. 1 (2026): April 2026
Publisher : Faculty of Animal Science, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Kacang goats represent one of Indonesia’s native genetic livestock resources and are widely recognized for their ability to thrive in harsh tropical conditions. Understanding body conformation traits and their association with live weight is important for improving breeding strategies and herd management. This research was conducted to describe the morphometric characteristics of adult Kacang goats reared on Binongko Island, Southeast Sulawesi, examine the association between body dimensions and body weight, formulate body weight prediction equations, and determine major sources of phenotypic variation through Principal Component Analysis (PCA). A total of 259 adult Kacang goats, comprising 117 bucks and 142 does, maintained under extensive production systems, were evaluated. Measurements recorded included body weight (BW), body length (BL), withers height (WH), chest girth (CG), chest depth (CD), chest width (CW), and rump height (RH). Data analysis involved descriptive statistics, Pearson correlation coefficients, regression analysis, and PCA. The findings demonstrated that body weight was positively and significantly associated with all measured body dimensions (p < 0.01). The highest correlation in males was between BW and WH (r = 0.741), and in does, between BW and CD (r = 0.675). The best regression models were obtained from CG and WH in bucks (R² = 0.560) and from BL, CD, and CW in does (R² = 0.509). PCA revealed that overall body size explained most of the morphometric variation, accounting for 84.91% in bucks and 89.86% in does, with BL, WH, CG, and RH identified as the most representative morphometric traits. 

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