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All Journal International Journal Science and Technology (IJST) Open Community Service Journal
Fitrah, Laeli
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Environmental Science Social Sciences Other

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Pembuatan dan Pengaplikasian Disinfektan di Peternakan Sapi Rakyat Desa Cileuleuy, Kecamatan Cigugur, Kabupaten Kuningan Nur'amaliyah, Lia Siti; Badriah, Choirul; Safari, Ari Abdulah; Fitrah, Laeli
Open Community Service Journal Vol. 4 No. 1 (2025): Open Community Service Journal
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/ocsj.v4i1.133

Abstract

Masalah kesehatan ternak banyak disebabkan oleh kebersihan dan sterilisasi kandang yang kurang diperhatikan oleh masyarakat. Program pengabdian ini bertujuan untuk memberikan edukasi kepada peternak rakyat mengenai biosekuriti kandang melalui pembuatan disinfektan sederhana dan aplikasinya. Pelaksanaan kegiatan meliputi penyampaian materi dengan ceramah, praktik pembuatan disinfektan, dan aplikasinya pada area kandang. Disinfektan dibuat dari cairan pemutih pakaian yang mengandung sodium hipoklorit dengan takaran 30 mL dalam 1000 mL air. Hasil kegiatan pengabdian kepada masyarakat ini memberikan dampak positif bagi peternak dengan bertambahnya wawasan mengenai sanitasi dan sterilisasi kandang serta peternak dapat membuat disinfektan secara mandiri dengan bahan yang mudah didapat dan ekonomis.
Digital Transformation of Poultry Farming Through Artificial Intelligence Fitrah, Laeli; Husni, Hari Setiabudi
International Journal Science and Technology Vol. 4 No. 3 (2025): November: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v4i3.2297

Abstract

The global poultry sector is under pressure to increase efficiency, sustainability, and animal welfare amid growing demand and resource constraints. Artificial Intelligence (AI) has emerged as a key enabler of digital transformation in poultry farming, yet evidence on practical adoption remains fragmented, especially for smallholder and UMKM contexts. Objective: This study systematically maps AI applications in poultry farming, classifies their functional domains and technological approaches, evaluates reported benefits and limitations, and identifies research gaps related to real-world implementation. Method: A PRISMA 2020-guided Systematic Literature Review (SLR) was conducted on 28 peer-reviewed, open-access, Scopus-indexed journal articles published between 2020 and 2025. Data were extracted on AI techniques, data modalities, application domains, implementation settings, and reported outcomes, then synthesized using thematic analysis. Findings: AI applications concentrate on disease detection and health monitoring, environmental control, behavior and welfare analysis, feed optimization, and productivity forecasting. Deep learning and computer vision dominate image/video-based tasks, while conventional machine learning supports multivariate prediction. Most studies report laboratory or pilot validation rather than full field deployment. Common barriers include high initial costs, limited digital literacy, infrastructure constraints (e.g., connectivity), and scarce localized datasets challenges that are particularly salient in developing-country settings. Implications: Adoption is most feasible through affordable, modular monitoring and decision-support solutions, supported by local dataset development, capacity building, and multi-stakeholder partnerships to translate pilots into sustained deployments. Originality/Value: This review integrates functional classification, technological mapping, and implementation maturity into a unified framework, offering an operational perspective on how AI can be scaled inclusively in poultry farming.
Co-Authors Ari Abdulah Safari Badriah, Choirul Hari Setiabudi Husni, Hari Setiabudi Nur'amaliyah, Lia Siti