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All Journal Buletin Peternakan Jurnal Peternakan Tropika Jurnal Ilmu Ternak JEPA (Jurnal Ekonomi Pertanian dan Agribisnis) Journal of Tropical Animal Science and Technology Bantara Journal of Animal Science Jurnal Nukleus Peternakan Buletin Peternakan Tropis (Bulletin of Tropical Animal Science) Participative Journal (PJ) : Jurnal Pengabdian Pada Masyarakat Mejuajua Tropical Animal Science Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Indo-Fintech Intellectuals: Journal of Economics and Business West Science Journal Economic and Entrepreneurship West Science Interdisciplinary Studies West Science Interdisciplinary Studies Mutiara : Jurnal Ilmiah Multidisiplin Indonesia West Science Social and Humanities Studies West Science Agro Habitat: Jurnal Ilmiah Ilmu Hewani dan Peternakan Inovasi Sosial: Jurnal Pengabdian Masyarakat Journal of Agriprecision & Social Impact FORUM EKONOMI: Jurnal Ekonomi, Manajemen dan Akuntansi
I Putu Gede Didik Widiarta
Department Of Animal Science, Faculty Of Agriculture, Mulawarman University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Veterinary Other

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Journal : Journal of Tropical Animal Science and Technology

 1 
Socioeconomics Transformation Through IoT and Deep Learning-Based Digitalization: Enhancing Investment Attractiveness in the Livestock Sector Widiarta, I Putu Gede Didik
Journal of Tropical Animal Science and Technology Vol. 7 No. 2 (2025): Journal of Tropical Animal Science and Technology
Publisher : Animal Husbandry Study Program, Faculty of Agriculture, Timor University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jtast.v7i2.9579

Abstract

Digital transformation through the integration of Internet of Things (IoT) and deep learning technologies can revolutionize the livestock sector, particularly in the areas surrounding Indonesia's New Capital City (IKN). This study evaluates the role of IoT and deep learning in enhancing productivity and investment appeal within the livestock sector by adopting IoT-based monitoring systems and deep learning algorithms. The research employs a qualitative-descriptive approach with a case study method, involving 25 stakeholders, including farmers, government officials, technology developers, and investors. The findings demonstrate that implementing IoT-based monitoring systems and deep learning algorithms significantly improves operational efficiency by reducing manual labor, optimizing feeding schedules, and enabling real-time livestock health monitoring. These advancements have increased productivity, profit margins, and investor confidence. Digitalization fosters socioeconomic development by creating job opportunities, enhancing market access, and empowering local communities. The study concludes that integrating these advanced technologies transforms livestock farming practices and positions the sector as a strategic area for sustainable and inclusive investment. It is recommended that future policy frameworks prioritize the development of digital infrastructure and human resource training to ensure widespread adoption and long-term impact. This research underscores the importance of digital agriculture as a core pillar in advancing Indonesia's smart city agenda and rural economic transformation.
Analysis of Land Use And Cover and its Proportion for Ruminant Farming in Lima Puluh Kota Regency Cori Qamara; Dwi Yuzaria; Fuad Madarisa; I Putu Gede Didik Widiarta
Journal of Tropical Animal Science and Technology Vol. 7 No. 2 (2025): Journal of Tropical Animal Science and Technology
Publisher : Animal Husbandry Study Program, Faculty of Agriculture, Timor University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jtast.v7i2.9657

Abstract

The purpose of this study was to assess the potential for ruminant livestock development in Lima Puluh Kota District by analyzing land cover and land use. A high-accuracy land cover map (kappa = 0.97) was created using Landsat 8-9 Path/Row 127/060 satellite imagery and the Random Forest (RF) classification method. Analysis was conducted using Geographic Information System (GIS) processes to evaluate land suitability. Slope, elevation, and proximity to water sources. As a result, about 35% of the district is highly suitable (S1) for ruminant farming. Due to the abundance of natural fodder and conditions conducive to extensive grazing systems, these ideal areas are mostly zones of dryland agriculture, mixed gardens and shrubs. However, due to limited fodder supply and geographical constraints, densely forested environments and urban environments are categorized as moderately suitable or unsuitable. The importance of improving livestock spatial arrangements was highlighted by the significant mismatches found when existing livestock population data were spatially overlaid with suitability maps. In conclusion, Lima Puluh Kota District has a strong biophysical basis to support ruminant livestock development. However, to ensure sustainable and effective use of land resources for livestock, spatial planning and land use policies must be aligned.
Co-Authors Adiputra, Kirana Dara Dinanti Aditya Alqamal Alianta Agung, Ananda Putra Akhmat Rizkuna Amalina Nur Wahyuningtyas Amani Aldiyanti Anhar Faisal Fanani Anindyasari, Dinar Ari Wibowo Ari Wibowo Asniar, Nunut Budi Rahayu Tanama Putri Bunyamin, Ilham Akbar Cori Qamara Cori Qamara Cori Qamara Dani Nur Arifin Dede Aprylasari Dinar Anindyasari Dwi Yuzaria Fajrih, Nurul Fatmarischa, Novemia Gusri, Rahmat Hakim, Nur Hamdi Hamdi Hamdi Mayulu Hamdi Mayulu Hamdi Mayulu I Kadek Yoga Kertiyasa I Wayan Suarna Iwan Harsono James Hellyward Judijanto, Loso Kunaifi Wicaksana, Kunaifi Loso Judijanto Madarisa, Fuad Made Herdinata Wijakesuma Muhtadi, Ammar N.L.G. Sumardani Ni Nyoman Suryani NI PUTU MARIANI Novemia Fatmarischa Nurmasytha, Andi Putra, Firdaus Ramiyati, Nekky Risa Juliadilla Roosena Yusuf, Roosena Sofalina, Fresa Dwi Juniar Suhardi Suhardi Suhardi Suharto, Prihutomo Taufan Purwokusumaning Daru, Taufan Purwokusumaning Tomasoa, Sefnat Kristianto Wahyuningtyas, Amalina Nur Wijakesuma, Made Hardinata Yuliyanti, Karenina Dwi