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Analisis Kinerja Sistem Kontrol Pengasutan Motor Listrik Pada Pabrik Gula di Takalar Muh. Ihsan Zulfikar
Micronic: Journal of Multidisciplinary Electrical and Electronics Engineering Volume 2, Issue 2, Desember 2024
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/micronic.v2i2.247

Abstract

Jenis penelitian ini adalah penelitian deskriptif kuntitatif yang bertujuan untuk mengetahui: (a) kesesuaian sistem kontrol pengasutan motor listrik yang diterapkan di pabrik gula Takalar, dan (b) kesesuaian peralatan pengasutan yang terpasang pada pabrik gula Takalar dengan PUIL 2011 dan instalasi arus kuat. Pengumpulan  data dilakukan dengan dua cara yaitu melalui teknik dokumetasi dan wawancara. Pengolahan data yang diperolah dilakukan dengan analisis deskriptif yang menggambarkan atau menjelaskan mengenai sistem kontrol pengasutan motor listrik pada pabrik gula Takalar kemudian membandingkannya dengan PUIL 2011 dan instalasi listrik arus kuat. Hasil penelitian menunjukan bahwa: (a) sistem kontrol pengasutan motor listrik pada pabrik gula Takalar masih ada yang tidak sesuai dengan standar, sebanyak 6 motor menggunakan pengasutan yang sesuai, sedangkan 14 buah motor menggunakan pengasutan yang tidak sesuai dengan standar PUIL 2011 dan (b) peralatan pengasutan, dari 20 buah motor listrik yang dijadikan sampel, sebanyak 13 buah motor menggunakan peralatan yang tidak sesuai dan sebanyak 7 buah menggunakan peralatan yang sesuai.
Pengembangan Sistem Informasi Inventaris Aset Berbasis Website Menggunakan Model ADDIE Muh. Ihsan Zulfikar
Micronic: Journal of Multidisciplinary Electrical and Electronics Engineering Volume 3, Issue 1, Juni 2025
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/y7yjgy43

Abstract

Penelitian ini bertujuan untuk mengetahui hasil pengembangan sistem informasi inventaris aset berbasis website pada UPT SDN 139 Inpres Benteng Kabupaten Takalar serta menguji kelayakan sistem berdasarkan standar ISO 25010. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan pendekatan model ADDIE yang terdiri dari lima tahapan utama, yaitu: (1) Analysis, dilakukan identifikasi kebutuhan pengguna dan analisis permasalahan inventarisasi aset di sekolah; (2) Design, perancangan sistem informasi meliputi struktur database, antarmuka pengguna, dan alur kerja sistem; (3) Development, proses pembuatan sistem berbasis website sesuai desain yang telah disusun; (4) Implementation, penerapan sistem di lingkungan sekolah serta pelatihan kepada pengguna; dan (5) Evaluation, pengujian sistem menggunakan standar ISO 25010 yang meliputi aspek functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, dan portability. Subjek uji coba dalam penelitian ini adalah kepala sekolah, operator, dan guru yang ada di UPT SDN 139 Inpres Benteng Kabupaten Takalar. Hasil pengujian menunjukkan sistem memenuhi seluruh aspek ISO 25010 dengan kategori sangat baik, antara lain functional suitability 100%, performance efficiency waktu muat 781ms, compatibility dan portability diuji pada 5 perangkat dan browser tanpa error, usability 83,5%, reliability dan security 100%, serta maintainability yang memberikan notifikasi otomatis jika terdapat kesalahan input. Dengan demikian, sistem yang dikembangkan layak digunakan untuk meningkatkan efisiensi pengelolaan aset sekolah.
Enhancing Pedagogical Deep Learning in Vocational High Schools Through Multimarker Augmented Reality Media Muh. Ihsan Zulfikar; Riska, Muhammad
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.9249

Abstract

This study focuses on creating and assessing an interactive learning media that uses multimarker augmented reality (AR) to improve pedagogical deep learning among vocational students at SMK Gowa. The development process followed the ADDIE model, covering analysis, design, development, implementation, and evaluation phases. The AR application allows students to interact with several 3D virtual objects linked to physical markers, offering an engaging and immersive learning environment suited for vocational subjects. Expert reviews confirmed that the media is accurate, technically sound, and pedagogically appropriate. Testing the application on different smartphones showed it performs well on mid to high-range devices, with minor glitches on lower-end phones that did not affect overall functionality. Feedback from 60 students illustrated strong usability, motivation, and acceptance of the media. Learning assessments before and after the intervention revealed significant gains in student understanding and critical thinking (p < 0.01). Interviews with participants supported these findings, highlighting increased engagement and improved knowledge retention. Overall, the study indicates that AR multimarker media is a practical and effective tool for fostering meaningful and deeper learning in vocational education. The study recommends expanding content, optimizing performance on various devices, and providing teacher support to enhance its use in classrooms. This research adds valuable insights into advancing the role of AR technology in vocational learning to align with modern educational needs.
Assessing Teaching Factory Implementation through Students’ Perceptions: A CIPP Model Approach Sanatang; Sulaiman, Dwi Rezky Anandari; Ninik Rahayu Ashadi; Muh. Ihsan Zulfikar
Information Technology Education Journal Vol. 4, No. 4, November (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i4.10530

Abstract

This study aims to assess the implementation of the Teaching Factory (TeFa) program through students’ perceptions using the CIPP (Context, Input, Process, Product) evaluation model. The evaluation focused solely on students’ viewpoints as direct beneficiaries of production-based vocational learning, excluding teachers’ and industry partners’ perspectives. A quantitative survey method was employed, involving 70 students from SMKN 10 Makassar, who completed a 12-item questionnaire with high internal reliability (Cronbach’s α = 0.894). Data were analyzed descriptively and through Spearman’s rank correlation to examine the relationships among the CIPP dimensions. The results indicate that students’ perceptions of TeFa implementation were within the “fair to good” range: Context (47.14% fair, 28.57% good, 24.29% very good), Input (41.43% fair, 38.57% good, 18.57% very good), Process (40% fair, 42.86% good, 14.29% very good), and Product (40% fair, 30% good, 24.29% very good). All dimensions showed positive and significant correlations (ρ = 0.619–0.794, p < 0.001), with the strongest relationship between Process and Product (ρ = 0.794), indicating that better learning processes are closely linked to improved learning outcomes. In conclusion, the Teaching Factory program is perceived as moderately effective by students. Improvement efforts should prioritize the Input dimension such as facilities, learning materials, and industrial engagement—and strengthen the Process dimension through enhanced mentoring and integration of production activities. Future research should involve teachers and industry partners to provide a more comprehensive CIPP-based evaluation.
Development of Augmented Reality-Based Learning Media with Multi-Marker Feature on Biology Material for Highschool And Vocational School Students Muh. Ihsan Zulfikar
Micronic: Journal of Multidisciplinary Electrical and Electronics Engineering Volume 3, Issue 2, Desember 2025
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/b2xyqk98

Abstract

This study aims to develop an augmented reality (AR) learning media named AR Biology, designed to enhance biology learning through 3D visualization and interactive multimedia. The application displays 3D objects and animations when a marker or image target is scanned, accompanied by synchronized audio and textual explanations. The novelty of this research lies in the implementation of a multi-marker feature that allows the visualization of combined 3D objects when two or more markers are brought close together. The research follows the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Trials conducted with 30 high school teachers and 20 vocational school students from grades X–XI demonstrated that AR Biology improved comprehension of biological concepts through interactive visualization. Expert validation categorized the application as “very feasible,” while user responses showed strong positive feedback, especially for the multi-marker feature that illustrates relationships among biological systems.
Transformasi Pembelajaran Vokasi Pertanian melalui Integrasi IoT dan Computer Vision pada Smart Greenhouse di SMKN 4 Barru: Penelitian Marwan Ramdhany Edy; Muh. Ihsan Zulfikar; Nurfauziah; Putri Nirmala; Nurrahmah Agusnaya
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3765

Abstract

The digital agricultural transformation demands strengthening technological literacy and skills in vocational schools, particularly in the utilization of the Internet of Things (IoT) and Computer Vision to support precision farming practices. This community service program aims to improve the competency of teachers and students of SMKN 4 Barru in integrating IoT-based Smart Greenhouse technology and Computer Vision into agribusiness learning. The activity uses a Participatory Action Research (PAR) approach through the stages of preparation, training, technology implementation, mentoring-evaluation, and sustainability, involving teachers, education staff, and students. Evaluation was conducted through pre-post tests, observation, and participatory reflection. The results showed a significant increase in participants' conceptual understanding and practical skills, including the use of temperature, humidity, and soil pH sensors for IoT-based hydroponic systems, as well as the use of Computer Vision to visually detect plant conditions. Participants also reported increased confidence in operating modern agricultural technology devices and awareness of the importance of digital-based innovation in vocational learning. Key challenges identified include the integration of sensor data into monitoring systems and the development of Computer Vision algorithms, requiring further mentoring and infrastructure strengthening. Overall, this program contributes to increasing digital literacy, readiness for the implementation of precision agriculture, and the development of a creative agro-education ecosystem relevant to the demands of Industry 4.0 in Barru Regency.