Article Per Year (5 Year)
p-Index From 2021 - 2026
5.746
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 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 : 44 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 44 Documents
Search

 1   2   3   4   5 
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, Machrus; Ali Fikri Haiqal, Mochamad; Rukslin; Ajiatmo, Dwi
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 Nurohmah, Hidayatul; Novrianto, Elfizar; Ali, Machrus
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 Ali, Machrus; Nafiardli, Rizqi; Sunarto, Sunarto; 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
Solar Power Plant Optimization using Automatic Transfer Switch (ATS) and Low Voltage Disconnect (LVD) Haikal, Muhammad Agil; Askan, Askan; Budiman, Budiman; Ali, Machrus
Journal of Electrical Engineering and Computer (JEECOM) Vol 6, No 2 (2024)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v6i2.9571

Abstract

The automatic system model uses a Solar Charge Controller (SCC) to turn off the solar panel system at the minimum battery point so that the battery is safe and durable and an Automatic Transfer Switch (ATS) to automatically transfer the electricity network from State Electricity Company or Grid or solar panels. In this study, Solar Panel Priority Grid electricity is used if the solar panel is insufficient and hybrid system with solar panel priority with 2 cut out battery usage. The results of this study are 450WP Solar Panel, 100A SCC MPPT, 12V/100Ah Battery, and 3000 Watt Modified Sine Wave Inverter, Miniature Circuit Breaker, Contactor, Relay Switch, Time Delay Relay and Indicators. The results of the switching process test between the Solar Power Plant source and grid with ATS control can run automatically in Grid Priority Mode, meaning Solar Power Plant as a backup, or Solar Power Plant Priority Mode where the grid source is used as a power backup system. In the Battery Capacity Optimization System, Low Voltage Disconnect (LVD) Protection can work well, namely it can cut off the voltage from the inverter if the battery is in a low voltage state at a rating below 10.8 Volts, Auto Cut Charging Protection testing can charge the battery up to 13.8 Volts and Cycle Use, namely the process of this system can work to store energy while releasing energy to run the load. The results of this study can be used as a reference for the best choice of the most efficient Solar Power Plant system.
Optimasi Kualitas Tenaga Listrik Di Area Banyuwangi Menggunakan Radio Gateway Over Internet Protocol Machrus Ali; Dwi Ajiatmo; Muhlasin
Jurnal JEETech Vol. 1 No. 2 (2020): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (917.208 KB) | DOI: 10.48056/jeetech.v1i2.3

Abstract

One of the communication problems at PLN is communication in areas that are not covered by radio frequencies. With the limitation related to radio frequency because the blankspot can have an impact on the speed of service, both in terms of recovering when disturbances occur, communication for coordination between officers, and maintenance work. Meanwhile, efforts to expand radio frequency coverage areas by building tower repeater links and BTS tower rentals require relatively large costs. Information technology that is developing now makes it easy for everyone to communicate through various media, one of which is an internet connection. Widespread development of infrastructure owned by telecommunications providers, the wider availability of internet connections in the blank spot area. To overcome the blank spot areas that have an impact on SAIDI and SAIFI, Radio Gateway Over Internet Protocol is used in the working area of ​​PT. PLN (Persero) Banyuwangi area that connects communication radios with mobile phones through the internet network. From the calculation using the average formula in the Microsoft Excel program the average value of SAIDI is better than before. Meanwhile, the average SAIFI score afterwards is also better than before. By using the T-Test test analysis it is known that the calculated t value is better, and for SAIFI it is known that the calculated SAIDI data is also better.
Rekonfigurasi Jaringan Distribusi Radial 65 Bus Berbasis Binary Particle Swarm Optimization (BPSO) Ali, Machrus; Nurohmah, Hidayatul; Ajiatmo, Dwi
Jurnal JEETech Vol. 3 No. 1 (2022): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.52 KB) | DOI: 10.32492/jeetech.v3i1.3108

Abstract

The configuration of a radial distribution network is difficult to simplify because it is very complex. This network reconfiguration is used to redesign the configuration of the radial distribution network by opening and closing switches on the distribution network. The feeder of Purwoasri, The feeder of Purwoasri, Rayon Kertosono has 65 buses which cause the Mojokerto area to have a very large loss so it needs to be reconfigured.. The resulting power flow will result in network power losses due to configuration. The reconfiguration process will be repeated until a configuration form that produces the smallest power losses is obtained. The number of feeders and buses on the network will be difficult if done manually and takes a very long time, so solving the problem must use a computer program. Network reconfiguration using the Matlab 2013a program will analyze its power flow using the Newton Raphson method and using the Binary Particle Swarm Optimization (BPSO) artificial intelligence method. Before reconfiguration, the network experienced losses of 1169,1374 kWatt after reconfiguration experienced losses of 635,7444 kWatt. The results of the reconfiguration can reduce losses of 635,74440 kWatt or 45,6228 % from the previous loss.
Komparasi PID, FLC, dan ANFIS sebagai Kontroller Dual Axis Tracking Photovoltaic berbasis Bat Algorithm Nurohmah, Hidayatul; Ali, Machrus; Ajiatmo, Dwi
Jurnal JEETech Vol. 3 No. 2 (2022): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.001 KB)

Abstract

Photovoltaic is a renewable electrical energy generator that is very suitable for tropical countries that get a lot of sunlight. However, this generator has low efficiency. To overcome this deficiency, several researchers have optimized the conventional dual-axis tracking solar method. Research is needed to optimize using artificial intelligence, in this case, the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Bat Algorithm (BA). By comparing the performance of the model without control, conventional PID model, PID Auto tuning MatLab, Fuzzy Logic Controller (FLC) method, ANFIS method, and ANFIS-BA method. The simulation results show that the best model design on the horizontal axis and vertical axis dual tracking photovoltaic is ANFIS-BA with the smallest overshot, smallest undershot, and the fastest settling time of all model designs.
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