Article Per Year (5 Year)
p-Index From 2021 - 2026
5.613
P-Index
This Author published in this journals
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

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search
Journal : Nucleus Journal

 1 
Optimasi Thermal Oil Heater Menggunakan PSO Sebagai Tunning PID Controller Indra Gunawan, Enggal; Ali, Machrus; Nurohmah, Hidayatul
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 Ali Fikri Haiqal, Mochamad; Rukslin; Ajiatmo, Dwi; Ali, Machrus
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; Ali, Machrus
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) Afif Dwi Wijaya, Muhamad; Ali, Machrus; Rukslin, Rukslin; Agil Haikal, Muhammad
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 Perancangan Sistem Kontrol Mesin CNC Pengebor PCB berbasis Ant Colony Optimization Novrianto, Elfizar; Ali, Machrus; Nurohmah, Hidayatul
Nucleus Journal Vol. 2 No. 2 (2023): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v2i2.2202

Abstract

A Print Circuit Board (PCB) is a micro (small) sized board that contains various electronic components that are used in an automatic circuit. PCB drilling is usually done manually with human power, which takes a lot of time when there are more and more holes in the PCB. And precision is required when the drill bit touches the PCB board which creates frictional forces and can cause drilling errors. This research uses data collection after carrying out several simulation methods using Matlab 13a. With optimal division methods including without control, Conventional PID, auto PID and PID - ACO. The aim of this research is to determine the advantages of the Ant Colony Optimization (ACO) method in controlling Computer Numerical Control (CNC) machines. The simulation results show that the best optimization method is produced by the PID - Ant Colony Optimization method which produces overshoot: 0.1199, undershoot: 0.0544, and settling time at 2.532 seconds which is the smallest value, while the design without control never reaches stable steady with the largest undershot. : 0.523. so PID - Ant Colony Optimization was chosen as the best method and is suitable for use in controlling PCB Drilling CNC Machines. By applying the PID - Ant Colony Optimization method to the CNC PCB Drilling Machine, it will be able to produce more precise drilling results
Optimasi LFC (Load Frequency Control) Pada Mikrohidro Menggunakan Metode ACO-ANFIS dan BA-ANFIS Nafiardli, Rizqi; Sunarto, Sunarto; Ali, Machrus; Ajiatmo, Dwi
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 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
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