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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 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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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.
Optimasi Pembangkitan Ekonomis Berbasis Whale Optimization Algorithm Pada Sistem Multimesin Nurohmah, Hidayatul; Sula Cakra Buana, Arya; Rukslin, Rukslin; Ali, Machrus; Ruswandi Djalal, Muhammad
Jurnal FORTECH Vol. 6 No. 2 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i2.6102

Abstract

This study addresses the problem of generation cost optimization for thermal power plants in the Sulbagsel multimachine power system. An advanced swarm intelligence approach, the Whale Optimization Algorithm (WOA), is employed as the primary optimization technique. WOA, inspired by the bubble-net hunting strategy of humpback whales, has emerged as a promising metaheuristic with strong capabilities in exploration and exploitation. The main objective of this study is to minimize thermal generation costs while ensuring effective performance under real system operating conditions. To provide a comparative benchmark, Particle Swarm Optimization (PSO) is also applied to the same problem. Statistical evaluation is conducted to assess convergence behavior, accuracy, and consistency of both methods. The results indicate that WOA demonstrates superior balance between exploration and exploitation, leading to stable convergence and reliable solutions. Under peak daytime load conditions, PSO achieves a cost reduction of 23.02%, whereas the proposed WOA-based method achieves a comparable reduction of 23.78%. Although PSO yields a slightly higher cost saving, WOA demonstrates stronger robustness and statistical reliability across multiple trials. These findings confirm that WOA is a competitive alternative for generation cost optimization in complex multimachine systems, offering significant potential for future applications in economic dispatch problems with larger-scale renewable energy integration.
Optimasi Pembangkitan Ekonomis Berbasis Whale Optimization Algorithm Pada Sistem Multimesin Nurohmah, Hidayatul; Sula Cakra Buana, Arya; Rukslin, Rukslin; Ali, Machrus; Ruswandi Djalal, Muhammad
Jurnal FORTECH Vol. 6 No. 2 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i2.6102

Abstract

This study addresses the problem of generation cost optimization for thermal power plants in the Sulbagsel multimachine power system. An advanced swarm intelligence approach, the Whale Optimization Algorithm (WOA), is employed as the primary optimization technique. WOA, inspired by the bubble-net hunting strategy of humpback whales, has emerged as a promising metaheuristic with strong capabilities in exploration and exploitation. The main objective of this study is to minimize thermal generation costs while ensuring effective performance under real system operating conditions. To provide a comparative benchmark, Particle Swarm Optimization (PSO) is also applied to the same problem. Statistical evaluation is conducted to assess convergence behavior, accuracy, and consistency of both methods. The results indicate that WOA demonstrates superior balance between exploration and exploitation, leading to stable convergence and reliable solutions. Under peak daytime load conditions, PSO achieves a cost reduction of 23.02%, whereas the proposed WOA-based method achieves a comparable reduction of 23.78%. Although PSO yields a slightly higher cost saving, WOA demonstrates stronger robustness and statistical reliability across multiple trials. These findings confirm that WOA is a competitive alternative for generation cost optimization in complex multimachine systems, offering significant potential for future applications in economic dispatch problems with larger-scale renewable energy integration.
Co-Authors A.N. Afandi Abda Abda 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 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 Sula Cakra Buana, Arya Sunarti Sunarto Sunarto Triana, Triana Usman, Mualifi Zahwa, Aila Vairus