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All Journal MEDIA ELEKTRIKA Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Tecnoscienza Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal JEETech Journal of Electrical Engineering and Computer (JEECOM) JASEE Journal of Application and Science on Electrical Engineering Jurnal Fortech SinarFe7 Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Komputer dan Elektro Sains Jurnal Pengabdian Masyarakat dan Riset Pendidikan Nucleus Journal Elconika: Jurnal Teknik Elektro Jurnal FORTECH
Machrus Ali
Universitas Darul Ulum & Institut Teknologi Sepuluh Nopember
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Transportation Other

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Optimasi Kinerja Motor Sebagai Penggerak Belt Conveyor Berbasis Modified Firefly Algorithms Puji Astoro, Fany Wahyu; Ali, Machrus; Ajiatmo, Dwi
SinarFe7 Vol. 7 No. 1 (2025): SinarFe7-7 2025
Publisher : FORTEI Regional VII Jawa Timur

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Abstract - Modern manufacturing industries require reliable and efficient drive systems, including three-phase induction motors in belt conveyors that ensure continuous material distribution. This study investigates the performance of a 1.5 kW three-phase induction motor at PT. Dayasa Aria Prima, which faces high-load conditions and frequent trips on the Thermal Overload Relay (TOR) due to significant current surges when loads exceed 80% capacity, leading to stator overheating and operational shutdown. A quantitative-experimental approach was applied by measuring current and voltage under varying loads to determine safe operating limits and optimal protection settings. A conveyor system model was developed using electrical engineering parameters, and a PID controller was optimized with a Modified Firefly Algorithm (MFA) in MATLAB. The MFA was enhanced with dynamic adaptation and additional exploitation operators to improve convergence speed and robustness against local optima. Results indicate a safe operating load range of 1.3–1.4 kW, with the MFA-optimized PID controller stabilizing conveyor speed, increasing control efficiency by 11.6%, and reducing overload risk by 42% compared to conventional control. The novelty lies in the application of MFA using real industrial field data, the integration of experimental measurements with numerical simulations for precision improvement, and the enhancement of MFA for faster convergence and better stability. This research offers practical value for industries dependent on belt conveyors by providing an adaptive, energy-efficient motor control strategy that minimizes downtime, extends motor lifespan, and reduces operational costs.
Inovasi IoT (Internet Of Things) Sebagai Sistem Monitoring Kualitas Air Dan Peringatan Dini Banjir Efendi, Utoyo; Muhlasin, Muhlasin; Ali, Machrus
Nucleus Journal Vol. 4 No. 2 (2025): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v4i2.4203

Abstract

The Internet of Things (IoT) is a concept where various physical devices can connect to the internet and communicate with each other to collect, share, and analyze data.. This technology has developed rapidly and been applied in various fields, including water quality monitoring and flood early warning systems. This research aims to study building innovations as a water quality monitoring and flood early warning system based on the Internet of Things (IoT). Sensors as measuring physical or environmental parameters, such as temperature, humidity, pH, and water level, Actuators are devices that perform actions based on received data, and networks serve as the infrastructure connecting IoT devices for data communication, such as MQTT or CoAP And platforms as systems that manage and analyze data collected from various sensors. These IoT components are expected to monitor water quality parameters, integrate data and provide early warnings in case of significant changes in water quality or potential flooding
OPTIMISASI STEERING CONTROL MOBIL LISTRIK AUTO-PILOT MENGGUNAKAN METODE FIREFLY ALGORITHM (FA) Ali, Machrus; Suhadak, Akemad
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 1 No. 1 (2017): PROSIDING SEMNAS INOTEK Ke-I Tahun 2017
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v1i1.352

Abstract

Steering Control adalah sistem kemudi yang dirancang untuk akurasi pergerakan steer terhadap lintasan kendaraan dan memperingan sistem kemudi. Akurasi pergerakan steer mobil sangat diperlukan dalam keselamatan berkendaraan, baik keselamatan yang ada didalamnya ataupun orang yang ada di dekatnya. Kesalahan pergerakan steer mobil akan mengakibatkan kesalahan posisi mobil pada jalur kendaraan. Untuk mencegah terjadinya yang demikian diperlukan kontrol pengemudian yang dirancang untuk akurasi pergerakan steer terhadap kendaraan dan memperingan sistem kemudi. Beberapa riset telah dikembangkan pada fully automatic steer by wire system antara lain riset yang dikhususkan pada input trajectory (lintasan) yang menggunakan teknologi Global Positioning System (GPS) dan trajectory yang menggunakan line guidance. Pada penelitian ini sistem kemudi menggunakan PID kontroler. Penggunan Artificial Intelligence (AI) sangat membantu dalam mempercepat proses pengontrolan PID. Metode pada penelitian ini menggunakan PID kontroler yang dituning dengan metode Firefly Algorithm. Pada penelitian ini akan dikembangkan model Fully Automatic Steer By Wire System menggunakan 10 Degree Of Freedom (DOF) terdiri dari 7-DOF Vehicle Ride Model dan 3-DOF Vehicle Handling Model. Hasil PID-FA akan dibandingkan dengan metode PID konvensional. Kontrol PID-FA didapatkan hasil yang lebih baik, dengan dibuktikan dengan kemampuan mengontrol mobil dengan kecepatan mencapai 69,0 km/h dengan overshot terkecil, yaitu 0,005071 pada C-RMS Error.
Co-Authors A.N. Afandi Achmad Zaini Afif Dwi Wijaya, Muhamad Agil Haikal, Muhammad Agus Raikhani, Agus Agus Siswanto Agustina, Devita Ahmad Yusuf Andrian Putra Alfian, Riski Ali Fikri Haiqal, Mochamad Anang Rohmad Jatmiko Anshoruddin, Ilham Arfaah, Saiful Arie Pambayun, Yoga Arrohman, Muhammad Arwan Satriaji, Faldy Askan, Askan Aslichah, Aslichah Asnun Parwanti Bahiyyah, Putri Budiman Budiman Burdirahaju, Rukmi Candra W.A, Farrel Dwi Ajatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Hariska, Maulana Efendi, Utoyo Faisal Faisal Fajardika, Risky Febrian Rizal Anas Haikal, Muhammad Agil Hasib Al Isbilly, Mohammad Hidayatul Nurohmah Hidayatul Nurohmah, Hidayatul Indra Gunawan, Enggal Intan Sekar Novitasari Izzatul Umami Jatmiko, Anang Rohmad JUNAEDI Kadaryono, Kadaryono Kusuma Apsari, Venda Lutfi Cahyanto, Iqbal Maida W, Avi Markhaban Siswanto Miftachul Ulum, Miftachul Muhammad Aziz Muhammad Ruswandi Djalal Muhlasin Muhlasin Muhlasin, Muhlasin Muhlasin, Muhlasin Nafiardli, Rizqi Novrianto, Elfizar Nur S, Novi Nur Salam Parwanti, Asnun Puji Astoro, Fany Wahyu Putra, Ahmad Yusuf Adriyan Rahman Sujatmika, Arif Rakhwati Tri Atmayanti, Dyah Rizal Anas, Febrian Ryo Setyawan Suhadak, Akemad Sunarti Sunarto Sunarto Triana, Triana Usman, Mualifi Zahwa, Aila Vairus