Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Ilmiah Ilmu-Ilmu Peternakan
Alvandika, Anas
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Systematic Literature Review (SLR) Evaluasi Kelembagaan Peternakan dengan Pendekatan Bibliometrik Menggunakan VOSviewer Berbasis PICOS dan PRISMA: Systematic Literature Review (SLR): An Institutional Evaluation of the Livestock Sector Using a Bibliometric Approach with VOSviewer Based on PICOS and PRISMA Alvandika, Anas; Wakhidati, Yusmi Nur; Sugiarto, Mochamad
Jurnal Ilmiah Ilmu-Ilmu Peternakan Vol 29 No 1 (2026): Mei 2026
Publisher : Fakultas Peternakan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiiip.v29i1.45519

Abstract

Background: Livestock institutions play a crucial role in supporting the sustainability of the livestock sector, yet they still face challenges such as institutional fragmentation, suboptimal coordination among stakeholders, and the pressures of climate change. This study aims to evaluate the strengthening of livestock institutions and its implications for sustainability and socio-economic aspects. The approach used is a bibliometric-based Systematic Literature Review (SLR) employing the PICOS framework, analyzing 125 articles from 2020 to early 2025 sourced from reputable journals, including Google Scholar. The selection process followed the PRISMA protocol, while bibliometric analysis was conducted using VOSviewer to identify patterns of interrelationships, clusters, and research trends. The analysis results revealed three main clusters: livestock production, livestock management and business, and institutional strengthening intersecting with sustainability aspects. The dominance of the production and management clusters indicates that institutional studies remain focused on technical and economic aspects, while the integration of sustainability dimensions is not yet optimal. Research gaps are evident in the limited studies on minor livestock such as sheep, as well as the lack of strong integration of digitalization and climate change adaptation issues. The low level of involvement of local actors, such as cooperatives and community-based organizations, also poses a challenge to institutional strengthening. A review of the literature confirms that effective institutional strengthening requires an inclusive, collaborative, and evidence-based approach, involving the strengthening of local institutional capacity and cross-sectoral integration. This approach is essential for accommodating commodity diversification, enhancing the resilience of the livestock system, and promoting sustainable, adaptive, and competitive livestock development.
Quadratic Analysis of IoT-Based Microclimate Relationships on Broiler Chicken Performance in Tropical Closed Houses Alvandika, Anas; Ismoyowati; Andri Setianto, Novie; Ardiansyah; Tugiyanti, Elly; Hidayat, Nurul
Jurnal Ilmu-Ilmu Peternakan Vol. 36 No. 2 (2026): August 2026
Publisher : Faculty of Animal Science, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiip.2026.036.2.5

Abstract

This study examines microclimate fluctuations in a closed-house system for tropical broiler chickens and their relationship with broiler production performance under an Internet of Things (IoT)-based environmental control system. The system was implemented to monitor, record and regulate environmental parameters in real time to support environmental stability under tropical conditions. The relationship between Effective Temperature (ET), Temperature-Humidity Index (THI), Heat Stress Index (HSI), and Performance Index (PI) of broiler chickens was evaluated using non-linear curve fitting and Spearman’s correlation analysis based on data generated by the IoT. The results indicate that the quadratic model provides a better fit than the linear model in describing the relationship between microclimate variables and PI, although most models were not statistically significant. ET showed the highest explanatory power (R² = 0.164; p = 0.068), followed by THI (R² = 0.096; p = 0.220), whilst HSI showed almost no relationship with PI (R² = 0.010; p = 0.862). Spearman’s correlation analysis indicated that ET had the strongest and most significant negative correlation with PI (? = ?0.526; p = 0.002), followed by THI (? = ?0.490; p = 0.004), whilst HSI was not significantly correlated with PI (? = 0.228; p = 0.202). These findings suggest that ET and THI are more closely associated with broiler performance than HSI under tropical closed-house conditions. The final PI value (417.69) exceeded the overall average PI (358.29), indicating relatively stable production performance despite fluctuations in the microclimate.
Co-Authors Andri Setianto, Novie Ardiansyah Elly Tugiyanti Ismoyowati, Tri Wahyuni Mochamad Sugiarto Nurul Hidayat Wakhidati, Yusmi Nur