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All Journal Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) ALINIER: Journal of Artificial Intelligence & Applications Jurnal Fortech SinarFe7 Journal FORTEI-JEERI
Dwi Ajiatmo
Universitas Darul Ulum
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Optimasi Pemograman Sistem Pengendalian Mesin CNC Pengebor PCB Berdasar Metode Firefly Algorithm Hidayatul Nurohmah; Machrus Ali; Rukslin; Dwi Ajiatmo; M. Teguh Proyoga
ALINIER: Journal of Artificial Intelligence & Applications Vol. 3 No. 2 (2022): ALINIER Journal of Artificial Intelligence & Applications
Publisher : Program Studi Teknik Elektro S1 ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/alinier.v3i2.5840

Abstract

Automatic circuits use several electronic components found on Printed Circuit boards ( PCB ), namely micro (small) sized boards. With more holes in the PCB, it is more time-consuming to drill them manually with human power. In addition, accuracy is required when the drill bit contacts the PCB board, which may cause drilling errors due to friction. This project aims to create an autonomous drill using a computer and BCNC software to move it live. DC stepper and spindle motors powered by a PID firefly-controlled motor drive this machine. Drilling is carried out using the BCNC program, the drilling process is carried out by entering codes in the form of codes that can later be read by the CNC. By changing the layout to what is known as a code, the coordinates of the holes that have been made in the layout can be found. PCB designing software is used for this procedure. With each of the ten experiments used to test the accuracy of the six axes, an error value of 1.2% was recorded. Kp = 54, Ki = 38, and Kd = 0.9 are constant values obtained from the PID implementation on DC stepper.
Optimasi Kontrol Suhu Tungku Pemanas Menggunakan Metode Firefly Algorithm (FA) Febrian Rizal Anas; Dwi Ajiatmo; Hidayatul Nurohmah; Machrus Ali
Jurnal FORTECH Vol. 4 No. 2 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i2.4203

Abstract

A furnace is a piece of equipment used to heat or change shape. Process control is becoming increasingly important in industry, as a consequence of global competition. Year after year, furnaces have progressed in both industrial processes and equipment. The tuning process ensures that system performance meets operating objectives. Intelligent control based on Artificial Intelligent (AI) has developed a lot to improve conventional control to control voltage loads and is always under constant variable assessment. The research results show that the best optimization method is produced by the PID-FA method which produces overshoot = 0.0721, undershoot 0.0081, and settling time at 30.4283 seconds. The PID-FA method produces better performance, according to the desired settings, so that fuel use can have a high level of efficiency
Co-Authors Agus Raikhani Angga Yodhas Tangkara Arga Prabowo Aryo Hadi Wigantoro Budiman Febrian Rizal Anas Hari Sufitrihansyah Hendro Dripoyono Hidayatul Nurohmah Imam Robandi M Agil Haikal M. Teguh Proyoga Machrus Ali Mochamad Ali Rofiq Muhammad Ade Yusuf Alghifrani Muhammad Ruswandi Djalal Rio Firmansyah Rukslin Septa Dwi Candra Yanuangga Galahartlambang