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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Elektro Rekayasa Mesin Sinergi Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Rekayasa Sipil dan Lingkungan JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Elsains : Jurnal Elektro SENTIA 2016 SENTIA 2015 Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Jurnal Karinov JE-Unisla Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Jurnal Tecnoscienza Jurnal Riset Rekayasa Elektro Frontier Energy System and Power Engineering Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Indonesian Collaboration Journal of Community Services (ICJCS) Prosiding Konferensi Nasional PKM-CSR ALINIER: Journal of Artificial Intelligence & Applications Jurnal Fortech SinarFe7 Journal FORTEI-JEERI Sewagati E-Amal: Jurnal Pengabdian Kepada Masyarakat Jurnal FORTECH Journal of Renewable Energy and Smart Device Jurnal JEETech DIMAS-UNDAR Nucleus Journal
Machrus Ali
Universitas Darul Ulum
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Optimasi Pengendali PID untuk Alat Ukir Kaligrafi pada Mesin Computerized Numerical Control (CNC) berbasis Grey Wolf Optimization Machrus Ali; Muhammad Agil Haikal; Fresy Nugroho; Tri Mukti Lestari; Dian Maharani; Fuad Dwi Hanggara; Fariz Rifqi Zul Fahmi
Jurnal Riset Rekayasa Elektro Vol. 8 No. 1 (2026): JRRE VOL 8 NO 1 JUNI 2026
Publisher : PROGRAM STUDI TEKNIK ELEKTRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrre.v8i1.30266

Abstract

Kualitas ukiran kaligrafi pada mesin CNC sangat dipengaruhi oleh akurasi pelacakan lintasan sumbu dan stabilitas gerak selama transisi kecepatan, tikungan tajam, dan variasi beban pemotongan. Pengontrol PID banyak digunakan dalam sistem servo CNC, namun penyetelan gain yang tidak tepat dapat meningkatkan kesalahan pelacakan, memperpanjang waktu penyelesaian, dan menyebabkan overshoot yang menurunkan kualitas permukaan. Studi ini mengusulkan penyetelan PID berbasis Grey Wolf Optimization (GWO) yang diimplementasikan dalam MATLAB/Simulink. Fungsi objektif didominasi oleh ITAE dengan penalti pada overshoot, waktu penyelesaian, dan kesalahan keadaan tunak. Selain uji pelacakan langkah dan sinusoidal, jalur alat kaligrafi yang berasal dari kode G (placeholder) disertakan untuk mewakili segmen dengan kelengkungan tinggi. Hasil penelitian menunjukkan bahwa PID yang disetel GWO mengurangi ITAE, meningkatkan waktu penyelesaian dibandingkan penyetelan konvensional, dan menurunkan kesalahan pelacakan RMS pada frekuensi rendah hingga menengah. Alur kerja yang diusulkan bersifat modular dan dapat digantikan oleh model plant yang teridentifikasi dari sumbu CNC nyata.
Optimasi Thermal Oil Heater Menggunakan PSO Sebagai Tunning PID Controller Enggal Indra Gunawan; Machrus Ali; Hidayatul Nurohmah
Nucleus Journal Vol. 1 No. 2 (2022): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v1i2.43

Abstract

Optimasi Optimization of the auto temperature control system on the thermal oil heater system using PSO as a PID Controller tunning. Making a PSO-based Simulink tuning PID controller for thermal oil heater temperature in the 2013a Matlab program. Thermal oil heater simulation using PSO as a PID Controller tunning is the best result among other design methods. With kp = 2,057, ki = 1.337, kd = 0.148, we get an overshot value of = 0.002, undershot = 0, at a settling time of 4.521 seconds. This shows that the PID-PSO controller is the best method with the smallest overshot at 0.002, the smallest undershot at 0, and the fastest settling time at 4.521 seconds.
Optimasi Thermal Oil Heater Menggunakan ACO Sebagai Tunning PID Controller Machrus Ali; Mochamad Ali Fikri Haiqal; Rukslin; Dwi Ajiatmo
Nucleus Journal Vol. 2 No. 1 (2023): May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v2i1.2101

Abstract

The furnace is a piece of equipment used to heat materials or change their shape. Process control has become increasingly important in industry, as a consequence of global competition. Year after year, furnaces have improved in both industrial processes and equipment. The tuning process plays a role in ensuring that the performance of a system meets operational objectives. Intelligent control based on Artificial Intelligence (AI) has been developed to improve conventional control so that the output voltage is always considered constant under changing loads. From the simulation results of this research, it was found that the PID-ACO controller model is the best model for using a PID control system. This design without control never reaches a steady state, with the undershot being quite small, the PID-ACO control system has the fastest settling time and steady-state response. Even though PID-ACO has a higher overshoot than PID-Auto, the undershoot is higher than PID-Auto. PID-ACO has lower overshoot and undershoots than PID-Auto
Desain Controller Pada Heating Furnace Berbasis Metode Firefly Algorithm (FA) Febrian Rizal Anas; Dwi Ajiatmo; Hidayatul Nurohmah; Machrus Ali
Nucleus Journal Vol. 1 No. 2 (2022): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v1i2.1202

Abstract

Furnace is an equipment used to heat or change shape. Process control has become increasingly important in industry, as a consequence of global competition, Year after year, furnaces have improved in both process and industrial equipment. The tuning process ensures that system performance meets operating objectives. Artificial Intelligent (AI)-based intelligent control has developed a lot to improve conventional controls to control voltage loads and is always under constant assessment of the variable. In this research task, it will be discussed about the control of the furnace temperature so that it remains constant with PID and by tuning the Firefly Algorithm (FA) with changes in the output voltage obtained which have better settling time, overshoot and undershoot.
Desain Kendali Pembangkit Listrik Tenaga Pikohidro Berbasis Ant Colony Optimization (ACO) Muhamad Afif Dwi Wijaya; Machrus Ali; Rukslin Rukslin; Muhammad Agil Haikal
Nucleus Journal Vol. 2 No. 1 (2023): May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v2i1.2104

Abstract

Energy sources that are often used to generate electricity are non-renewable energy sources which, if used continuously, will run out, such as petroleum, natural gas and coal. So, renewable energy sources are needed which are in abundant supply and do not run out quickly, one of which is water energy. Picohydro power plants (PLTPH) are an alternative small-scale power plant that can be applied in rural areas where there is a river flow that has a continuous water discharge and a relatively low water fall to drive turbines that can produce electrical power. To be able to produce electrical power with such potential, a pico-hydro power plant is needed. To optimize the performance of a picohydro power plant, a controller called PID (Proportional Integral Derivative) is needed. Then this PID is combined with the ACO (Ant Colony Optimization) method. ACO is a method for optimizing PID control parameters in a system adapted from the ability of an ant colony to find the shortest path to a food source from its nest
Optimasi LFC (Load Frequency Control) Pada Mikrohidro Menggunakan Metode ACO-ANFIS dan BA-ANFIS Machrus Ali; Rizqi Nafiardli; Sunarto Sunarto; Dwi Ajiatmo
Nucleus Journal Vol. 3 No. 1 (2024): May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v3i1.3104

Abstract

Micro-hydro Power Plant is a small-scale power plant. Micro-hydro plants are built with enough water potential to generate electrical energy. A common problem with micro-hydro generating systems is that the output of the generator is not constant. This is caused by changes in connected loads. Thus causing frequent fluctuations in the frequency and voltage of the system that can cause damage to electrical equipment. Because it is used Load Frequency Control (LFC) to control the frequency can be more stable. To obtain optimal control parameters on micro hydropower systems used by Artificial Intelligence (AI) is Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS data is retrieved from training data of PID controllers tuned using Ant Colony Optimization (ACO) and Bat Algorithm (BA). This study compared uncontrolled methods, PID-ZN control methods, PID-ACO method, PID-BA, PID-ACO-ANFIS, and PID-BA-ANFIS obtained the best control method. The result of this research is the control method of PID-ACO-ANFIS is the best control method with overshoot 0.00 and the fastest settling time is 0.00. The results showed that the smallest overshoot (0) in the PID-ACO-ANFIS model, the smallest undershoots (1,12x10-5) in PID-ACO-ANFIS and the fastest settling time (3.77 seconds) in the starting also at PID-ACO-ANFIS. The results of this study will be tried bengan other methods, which results may be better
Inovasi IoT (Internet Of Things) Sebagai Sistem Monitoring Kualitas Air Dan Peringatan Dini Banjir Utoyo Efendi; Muhlasin Muhlasin; Machrus Ali
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
AI-Assisted PID Tuning for Voltage Control of an Axial-Flow Pico-Hydro Generator Machrus Ali; Hidayatul Nurohmah; Muhammah Agil Haikal; Yanuar Mahfudz Safarudin
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.691

Abstract

Pico hydropower is a renewable-energy option for isolated communities and low-head run-of-river sites, but axial-flow pico-hydro generators are vulnerable to voltage fluctuation when water flow, hydraulic head, or consumer load changes. This study proposes a novel and reproducible artificial-intelligence-assisted proportional-integral-derivative (PID) tuning framework for voltage control of a 220 V, 2 kW axial-flow turbine generator ZD760-LM-(18-20). The novelty lies in combining a voltage-control-oriented small-signal model of a low-head axial-flow pico-hydro unit, a nonminimum-phase hydraulic zero that represents inverse initial response, identical bounded PID-search constraints, and a composite objective that explicitly penalizes inverse dip, overshoot, settling time, ITAE, and IAE. The plant model combines actuator or electronic-load-controller dynamics, non-elastic water-column dynamics, turbine-generator dynamics, and sensor dynamics. PID gains obtained from Ziegler-Nichols (PID-ZN), Ant Colony Optimization (PID-ACO), and Particle Swarm Optimization (PID-PSO) are compared under Kp = 0-100, Ki = 0-50, and Kd = 0-10. Simulation results show that PID-ZN stabilizes the plant but requires a 6.80 s settling time and produces an ITAE of 2.9603. PID-ACO reduces settling time to 2.26 s and ITAE to 1.1320, whereas PID-PSO gives the lowest ITAE of 1.1311 with only 0.030% overshoot. Compared with PID-ZN, PID-PSO reduces settling time by 66.8% and ITAE by 61.8%. These results indicate that AI-based PID tuning can improve voltage quality in low-cost rural and off-grid pico-hydro systems using practical ELC or simple actuator implementations.
RTC-Scheduled ESP32 IoT Prototype for Automated Hydroponic Nutrient Irrigation Hidayatul Nurohmah; Machrus Ali; Ciptian Weried Priananda
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.694

Abstract

Reliable nutrient circulation is essential for small-scale hydroponic cultivation, but many Internet of Things (IoT) hydroponic systems depend on multi-parameter sensing, cloud-based decision making, or artificial-intelligence-assisted architectures that can be costly and difficult to reproduce in household and educational settings. This study designs and functionally evaluates a low-cost real-time-clock (RTC)-assisted ESP32 IoT prototype for scheduled hydroponic nutrient irrigation. The practical contribution is a reproducible entry-level automation baseline that helps household users, school laboratories, and community demonstration sites maintain predictable nutrient circulation without continuous manual checking. The system integrates an ESP32 microcontroller, DS3231 RTC, DHT11 temperature-humidity sensor, relay-driven DC nutrient pump, LCD, and Blynk monitoring interface. The main novelty is the use of battery-backed RTC scheduling as a local-first mechanism for routine nutrient-pump actuation, while the cloud dashboard is retained for supervision rather than as the sole timing dependency. This position differentiates the prototype from cloud-centered hydroponic systems whose irrigation execution may depend on network availability. The prototype was programmed to activate the nutrient pump at 07:00 and 16:00 for 10 s per event. Functional validation used four dimensions: environmental reading consistency, RTC timing consistency, pump actuation reliability, and IoT monitoring availability. Daytime DHT11 observations ranged from 29.1 to 31.2 °C and 62 to 68% RH, with mean values of 30.28 °C and 64.50% RH. The RTC showed a recorded 0-s difference from the daily reference time over five observation days within the resolution of the test. The pump executed all observed scheduled ON-OFF events, yielding 100% schedule execution success for two scheduled activations and 100% relay-pump state reliability for four observed states. The Blynk interface displayed temperature, humidity, and pump status during testing. These results demonstrate engineering feasibility for a reproducible scheduled nutrient-irrigation baseline suitable for household-scale hydroponic practice, student laboratories, and introductory IoT learning. The scope is deliberately bounded to prototype-level engineering feasibility: the study evaluates scheduling, actuation, and monitoring, but does not claim nutrient-dosing precision, flow-rate calibration, pH/EC regulation, or crop-yield improvement. Future work should include calibrated reference instruments, pH/EC and flow-rate measurement, nutrient-volume accuracy testing, network-performance analysis, power and cost benchmarking, and controlled plant-growth trials.
Optimasi Pembangkitan Ekonomis Berbasis Whale Optimization Algorithm Pada Sistem Multimesin Hidayatul Nurohmah; Arya Sula Cakra Buana; Rukslin Rukslin; Machrus Ali; Muhammad Ruswandi Djalal
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.A. Ketut Agung Cahyawan W A.N. Afandi Achmad Afandi Achmad Muzajjad Achmad Zaini Achmad. Zaini Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani Agus Raikhani, Agus Ahmad Ali Syaifudin Ahmad Fajar Rohmatullah Ahmad Fathurrobbani Ahmad Fauzi Ridhwan Ahmad Fauzi Ridhwan Alysia, Agnes Amir Maliki Abitolkha Andi Imran Andini, Tarrisma Delvy Angga Yodhas Tangkara Arga Prabowo Anshoruddin, Ilham Ardi Junianto Ardiyan Abi Winata Ardiyan Abi Winata Arfaah, Saiful Ari Octaviyan Arif Rahman Sujatmika Arrohman, Muhammad Arya Sula Cakra Buana Askan Askan Askan Askan Askan, Askan Aslichah aslichah aslichah Asnun Parwanti Asnun Parwati Avi Maida W Bima Aulia Firmandani Budi Utomo Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Budiman Cahyono, Iwan Cakra Buana, Arya Sula Cakra Buana, Arya Sulka Choiruddin Choiruddin Cholil Hasyim Ciptian Weried Priananda Dandy Tulus Herlambang Dannel Ramadhan Delief Wida Khaidir Dian Maharani Dimas Fajar Uman Putra Dina Mariani Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwi Ajiatmo Dwiana Hendrawati Dyah Rakhwati Tri Atmayanti Enggal Indra Gunawan F Yudi Limpraptono Fachrudin Hunaini Fahmi, Tubagus Faisal Faisal Fajardika, Risky Fariz Rifqi Zul Fahmi Farrel Candra W.A Febrian Rizal Anas Firda Amalia Firdaus, Aji Akbar Fresy Nugroho Fuad Dwi Hanggara Hadi Suyono Hadi Suyono Hamzah Arof Hari Sufitrihansyah Hari Sufitrihansyah Hasib Al-Isbilly, M. Hendi Sopian Hendi Sopian Hendro Dripoyono Hendro Dripoyono Herlambang Setiadi Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah Hidayatul Nurohmah, Hidayatul Hofman Darmawan Ilham Anshoruddin Imam Robandi Iwan Cahyono Izzatul Umami Izzatul Umami Jatmiko, Anang Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono Kadaryono, Kadaryono, Kadaryono Kholish Fadlili Kholish Ghoutsul Fadlili Lantip Trisunarno Latiana, Eka Laudhie Primadonni Kusumajaya Luqman Hakim Luqman Hakim M Agil Haikal M Ibrahim M Ibrahim M. Ibnu Masrur M. Ibnu Masrur M. Teguh Proyoga Markhaban Siswanto Maulana Dwi Hariska Mei Indrawati Michael Ardhita Miftachul Jannah Firdaus Miftachul Jannah Firdaus Miftachul Ulum Miftachul Ulum, Miftachul Miftahul Djanah Mochamad Ali Fikri Haiqal Mochamad Ali Rofiq Mochamad Ali Rofiq Mochamad Piono Mulyo Mochammad Heru Widodo Mochammad Nur Masrukhan Mohammad Hasib Al Isbilly Mualifi Usman Mudofar Baehaqi Muh Alfian Affandi Muh Alfian Affandi Muhamad Afif Dwi Wijaya Muhammad Ade Yusuf Alghifrani Muhammad Agil Haikal Muhammad Amirul Wahid Muhammad Aziz Muslim Muhammad Aziz Muslim Muhammad Ibrahim Muhammad Nur Hidayat Muhammad Ruswandi Djalal Muhammah Agil Haikal Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin Muhlasin, Nasrul Fatkhur Nasrul Fatkhur Nieke Rudyanty Winanda Novi Nur S Nur Fadhilah, Firda Nur Salam Nurrohmah, Hidayatul Parwanti, Asnun Putri Bahiyyah Ramadhan, Dannel Rio Firmansyah Rio Firmansyah, Rio Rizqi Nafiardli Rizqi Nafiardli Rukhslin Rukmi Budirahaju Rukmi Burdirahaju Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rukslin Rusklin Ruslan Hidayat Ruslan Hidayat Ruslan Hidayat Ruslan Hidayat Saiful Arfaah Saiful Arfaah Sayekti Suindyah D Septa Dwi Candra Septa Dwi Candra Setiawan Setiawan Setiawan Shofwatal Qolbiyyah Siswanto, Agus Siswanto, Makhaban Soedibyo Soedibyo Sunarti Sunarti Sunarti Sunarto Sunarto Syamsiyah Yuli Dwi Andari Titis Amujiati Tri Mukti Lestari Triana Triana Triana Tubagus Fahmi Ulum, Miftachul Utoyo Efendi Venda Kusuma Apsari Wardatul Mufidah Wida Khaidir, Delief Wiky Krisdianto Wiky Krisdianto Yanuangga Galahartlambang Yanuar Mahfudz Safarudin Yanuar Mahfudz Safarudin Yoga Arie Pambayun Yoga Arie Pambayun Yurilla Endah Muliatie, Yurilla Endah