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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.
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.