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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Frontier Energy System and Power Engineering Jurnal JEETech Jurnal Fortech Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) E-Amal: Jurnal Pengabdian Kepada Masyarakat Nucleus Journal Jurnal FORTECH
Hidayatul Nurohmah, Hidayatul
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Agriculture, Biological Sciences & Forestry 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 Mathematics Mechanical Engineering Transportation

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Journal : Nucleus Journal

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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 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
Co-Authors Achmad Zaini Andini, Tarrisma Delvy Anshoruddin, Ilham Arie Pambayun, Yoga Budiman Budiman Cakra Buana, Arya Sula Choiruddin, Choiruddin Dwi Ajiatmo Fahmi, Tubagus Indra Gunawan, Enggal Kusuma Apsari, Venda Latiana, Eka Lutfi Cahyanto, Iqbal Machrus Ali Machrus Ali Miftachul Ulum, Miftachul Muhammad Ruswandi Djalal Muzajjad, Ach. Novrianto, Elfizar Rizal Anas, Febrian Sula Cakra Buana, Arya Wida Khaidir, Delief