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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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Pengembangan Nutri-Bumil dengan Model APPED Berbasis Website Terintegrasi Chatbot sapina, Sapina; Mashoedah; Dwi Kurniawan, Prabowo; Arifin, Fatchul; Syaiful Rijal, Bait
Jurnal Teknik Vol 23 No 2 (2025): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v23i2.731

Abstract

This study aims to develop the Nutri-Bumil System, a web-based nutrition intake monitoring service for pregnant women integrated with a chatbot. The system development employed a Research and Development (R&D) approach using the APPED model (Analysis, Planning, Production, Evaluation, and Distribution). The research instruments included validation by content experts and media experts using a 4-point Likert scale, which was converted into percentages to assess the system’s feasibility based on the ISO/IEC 25010 software quality standards in the aspects of Usability, Functional Suitability, and Performance Efficiency. The validation results showed that content experts rated the system at 80.71% for Usability, 82.65% for Functional Suitability, and 76.78% for Performance Efficiency, which fall into the categories of Feasible and Fairly Feasible. Meanwhile, media experts provided scores of 80%, 85.41%, and 87.5%, all of which are categorized as Feasible. These findings indicate that the developed Nutri-Bumil system meets the software quality aspects in terms of ease of use, functional suitability, and performance efficiency. Overall, the system is declared Feasible for use as an adaptive, accurate, and efficient digital nutrition service supporting the needs of pregnant women and nutrition professionals.
Evaluation of Teaching Factory Learning Model for Developing Students' Career Adaptability at SMK Nusantara 1 Comal Fitri Nurjanah; Mashoedah Mashoedah
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 4 No. 5 (2025): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v4i5.1438

Abstract

This study aims to evaluate the teaching factory learning system and describe the effectiveness of teaching factory learning for developing students' career adaptability at SMK Nusantara 1 Comal, Mechanical Engineering Expertise Concentration. This study adopts the Stufflebeam’s CIPP (context, input, process, product) evaluation model as the basic research framework. The subjects of this study were the teaching factory coordinator, teachers, and students who participated in teaching factory learning at SMK Nusantara 1 Comal. Data collection used a questionnaire, observations, document studies, and interviews. The surface validity of the instrument was carried out by expert judgment. The empirical validity and reliability of the instrument in the form of a questionnaire were calculated using the product moment correlation technique and the calculation of the Cronbach alpha coefficient sequentially. The research evaluation results show that the implementation of teaching factory learning reviewed from the CIPP evaluation model is included in the “good” category with an achievement percentage reaching 78.08%. The details of the evaluation results for each component are as follows: the context component is included in the “sufficient” category with an achievement level of 61.33%; the input component is included in the “excellent” category with an achievement level of 84.97%; the process component is included in the “good” category with an achievement level of 70.38%; and the product component (in the form of student career adaptability) is included in the “excellent” category with an achievement level of 86.06%.
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