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All Journal JOURNAL OF EDUCATION JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Teknik ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Locus Penelitian dan Pengabdian Jurnal Media Computer Science INJURITY: Journal of Interdisciplinary Studies International Journal of Technology and Education Research
Mashoedah Mashoedah
Department Of Electronics Engineering Education, Universitas Negeri Yogyakarta, Indonesia
Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : jurnal media computer science

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An Integrated IoT–AI Architecture for Precision Beekeeping: Sensing, Data Communication, Colony-State Intelligence, and Decision-Oriented Actions Pipit Utami; Mashoedah Mashoedah; Hanif Nurkhalis; Muhammad Akhdan Nafi'; Wulan Savitri; Widya Prastowo; Diah Wulan Safitri; Fajar Dwi Saputra
Jurnal Media Computer Science Vol 3 No 2 (2024): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v3i2.10589

Abstract

Precision beekeeping increasingly adopts Internet of Things (IoT) and artificial intelligence (AI) technologies, yet most existing systems remain monitoring-centric. This study synthesizes the architectural characteristics of IoT–AI precision beekeeping systems and identifies integration gaps that constrain decision-oriented operation. A systematic literature review of 50 Scopus-indexed studies published between 2015 and 2024 was conducted using a PRISMA-based selection process and an architecture-oriented synthesis across sensing, communication, intelligence, and decision layers. The results reveal a strong emphasis on sensing and data acquisition, while analytical outputs are weakly linked to operational decision-making, preventing most systems from closing the loop from inference to action. These findings suggest that the main limitation is architectural rather than technological. Accordingly, this study positions a reference architecture as an analytical framework for end-to-end smart beehive systems, with implications for more integrated and practical applications in small- and medium-scale beekeeping operations.
IoT-Enabled Dairy Systems: From Sensing and Data Integration to Operational Evaluation Pipit Utami; Masduki Zakarijah; Mashoedah Mashoedah; Zidni Fikriawan; Nabila Yanti; Debora Aritonang; Gregoria Gendhis Pertiwi; Anafrio Rizqy Arba Pratama; Damarjati Azra
Jurnal Media Computer Science Vol 3 No 2 (2024): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v3i2.10590

Abstract

The adoption of Internet of Things (IoT) technologies in dairy farming has expanded rapidly, yet the literature remains dominated by isolated technological components rather than operationally integrated systems. This study synthesizes research on IoT-based dairy farming systems through an end-to-end system perspective linking system purposes, sensing, data integration, intelligence, operational outputs, and evaluation. A systematic literature review was conducted on 38 Scopus-indexed articles published between 2020 and 2024 following the PRISMA protocol. The synthesis indicates that IoT applications are primarily oriented toward operational performance and initial quality indicators, barn environmental monitoring, animal health and welfare management, and operational efficiency and resource management. Although sensing technologies are relatively mature at the component level, most systems remain monitoring-oriented and support decision-making mainly through notifications and early warnings, with limited automation and operational evaluation. This review contributes a system-level conceptual framework that highlights the gap between technological capability and operational readiness, guiding the development of more coherent and operationally meaningful IoT applications in dairy farming.
Co-Authors Anafrio Rizqy Arba Pratama Arya Sony Damarjati Azra Debora Aritonang Dheni Leo Diah Wulan Safitri Dwi Kurniawan, Prabowo Fajar Dwi Saputra Fatchul Arifin Fitri Nurjanah Gregoria Gendhis Pertiwi Hanif Nurkhalis Herman Dwi Surjono Martin Hartmann Masduki Zakarijah Moh Adam Jerusalem Muhammad Akhdan Nafi' Muhammad Munir Mukarromah, Hana Zainab Nabila Yanti Oktaf Agni Dhewa Pipit Utami Pramudi Utomo Pramudi Utomo Putut Hargiyarto Rahmanto, Muhammad Harizka sapina, Sapina Silvia Larasatul Masyitoh Suprapto Suprapto Syaiful Rijal, Bait Umi Rochayati Widya Prastowo Wulan Savitri Zamroni Zamroni Zidni Fikriawan Zulhakim Seftiyana Roviyan