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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 Agriwar Journal Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Jurnal Ilmiah Ilmu-Ilmu Peternakan 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 International Journal of Management, Accounting & Finance Inovasi Sosial: Jurnal Pengabdian Masyarakat Journal of Agriprecision & Social Impact Jurnal Pengabdian Kepada Masyarakat FORUM EKONOMI: Jurnal Ekonomi, Manajemen dan Akuntansi International Journal of Business, Marketing, Economics & Leadership Jurnal Bersama Ilmu Ekonomi Indonesian Journal of Sustainable Agriculture and Environmental Sciences Indonesian Journal of Small Scale Farming Integrated Nutrition Journal
I Putu Gede Didik Widiarta
Department Of Animal Science, Faculty Of Agriculture, Mulawarman University
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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.
Sensitivity Analysis of Live Sales Prices and Broiler Feed Costs Cori Qamara; I Putu Gede Didik Widiarta
Journal of Tropical Animal Science and Technology Vol. 7 No. 3 (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.v7i3.9857

Abstract

The purpose of this study is to assess the sensitivity of broiler chicken producers' income to fluctuations in live chicken selling prices and feed costs in Samarinda City. The research was conducted using a simulation approach under several scenarios of price and cost adjustments, ranging from - 20% to + 20% of the base value. The findings show that changes in selling prices had a more linear influence on income, with a 10% increase in live chicken prices increasing revenue by about 13%. Feed expenses, on the other hand, have a more unequal effect on revenue, particularly as costs grow, resulting in significant profit margin reduction. These findings imply that farmers' income is extremely vulnerable to external market dynamics, both in terms of income and production costs. This study validates earlier research findings published in international journals, emphasizing the necessity of risk mitigation methods and cost efficiency as critical variables for the long-term viability of small- and medium-sized poultry farming operations. As a result, governmental measures are required to safeguard farmers from volatility in both input and product prices.
Co-Authors Adiputra, Kirana Dara Dinanti Aditya Alqamal Alianta Agung, Ananda Putra Aini, Qurratu Akhmat Rizkuna Alina Azzara Amalina Nur Wahyuningtyas Amani Aldiyanti Ananda Putra Agung Andi Nurmasytha Anhar Faisal Fanani Anindyasari, Dinar Anindyasari, Dinar Ardiansyah Ari Wibowo Ari Wibowo Asniar, Nunut Budi Rahayu Tanama Putri Bunyamin, Ilham Akbar Cori Camara Cori Qamara Dani Nur Arifin Dede Aprylasari Dwi Yuzaria Fadhil Muharram Fajrih, Nurul Fatmarischa, Novemia Gusri, Rahmat Hakim, Nur Hamdi Hamdi Hamdi Mayulu Hendarto, Tri I Kadek Yoga Kertiyasa I Wayan Suarna Iwan Harsono James Hellyward Judijanto, Loso Juliadilla , Risa Karenina Dwi Yulianti Khoiru Indana Kirana Dara Dinanti Adiputra Kunaifi Wicaksana, Kunaifi Loso Judijanto Madarisa, Fuad Muhammad Fahrul Muhtadi, Ammar N.L.G. Sumardani Ni Nyoman Suryani NI PUTU MARIANI Novemia Fatmarischa Nur'aini, Lestari Gita Nurmasytha, Andi Pramana, Revaldo Adhi Putra Agung , Ananda Putra, Firdaus Qurratu Aini Qurratu Aini Rahmat Budi Ramadhani Ramiyati, Nekky Riki Andika Risa Juliadilla Roosena Yusuf, Roosena Sinaga, Yustinus C Sofalina, Fresa Dwi Juniar Sudiarsana, I Kadek Suhardi Suhardi Suhardi Suharto, Prihutomo Sukandi Taufan Purwokusumaning Daru, Taufan Purwokusumaning Tomasoa, Sefnat Kristianto Wahyuningtyas, Amalina Nur Wijakesuma, Made Hardinata Wijakesuma, Made Herdinata Yuliyanti, Karenina Dwi