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Muhammad Alhan
Program Studi Teknik Elektronika, Politeknik Pratama Mulia Surakarta
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering

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Studi Pengendalian Motor Listrik di Industri Sebagai Upaya Peningkatan Kualitas Materi Dan Strategi Pembelajaran Muhammad Alhan; Yaya Finayani
Politeknosains Vol 19 No 1 (2020): Jurnal Politeknosains Volume 19 Nomor 1 - Maret 2020
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

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Abstract

The rapid development of industrial automation technology one technique for controlling the electric motor is very difficult to anticipate by JTE Politama, this will require material adjustments and learning strategies with the development of industrial automation technology to produce graduates according to the needs and the industry can compete in the global world. It required a partnership with the industry to determine the development of industrial automation technology, but it needs to be a partnership with universities that have higher quality and more complete laboratory so it can adopt the course material, equipment / lab module. The result of the adoption of subjects related to electric motors and control techniques organized into 9 RPKPS and teaching materials as well as rewinding machine prototype.
Sistem Monitoring Konsentrasi Gas Karbondioksida (PPM) Pada Greenhouse Berbasis Internet of Things Dengan Protokol MQTT Sudarno Sudarno; Muhammad Alhan
Politeknosains Vol 25 No 1 (2026): Jurnal Politeknosains Volume 25 Nomor 1 - Maret 2026
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Politeknik Pratama Mulia Surakarta

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Abstract

lingkungan greenhouse untuk memastikan laju fotosintesis tanaman berjalan optimal. Meskipun sistem monitoring IoT sudah banyak dikembangkan, efisiensi transmisi data dan analisis pola lingkungan pada kondisi spesifik masih memerlukan kajian mendalam. Penelitian ini memberikan kontribusi pada pengembangan sistem monitoring CO2 berbasis MQTT dengan optimasi struktur payload ringan dan pengujian performa jaringan pada lingkungan greenhouse tropis. Sistem ini menggunakan sensor NDIR MH-Z19B, mikrokontroler ESP32, dan protokol MQTT untuk komunikasi data secara real-time . Hasil pengujian menunjukkan bahwa penggunaan struktur payload yang dioptimalkan mampu menekan penggunaan bandwidth secara signifikan dengan rata-rata latency di bawah 100ms. Selain itu, integrasi data berhasil memetakan pola fluktuasi CO2 harian yang unik pada greenhouse skala kecil, yang dapat menjadi acuan bagi sistem kontrol otomatis yang lebih presisi.
Co-Authors Sudarno Sudarno Yaya Finayani