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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 Jurnal JEETech Nucleus Journal
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
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 | 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) Machrus Ali; Hidayatul Nurohmah; Dwi Ajiatmo
Jurnal JEETech Vol. 3 No. 1 (2022): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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 Hidayatul Nurohmah; Machrus Ali; Dwi Ajiatmo
Jurnal JEETech Vol. 3 No. 2 (2022): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Metode Pengumpulan Data Debit Air Pada Saluran Distribusi Air PDAM Makassar Berbasis IoT Andi Imran; Nurul Azizah; Satria Gunawan Zain; Zulhajji; Dwi Ajiatmo
Jurnal JEETech Vol. 5 No. 2 (2024): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v5i2.5201

Abstract

Water is an important resource for human survival as well as various economic sectors. PDAM is responsible for providing water supply to the community. One of the major challenges faced in managing water supply is the problem of water loss or leakage. This research aims to overcome this problem by designing an innovative method to collect water discharge data on the distribution channel of PDAM Makassar using Internet of Things (IoT) technology. This method uses the ESP32-CAM to take images of the water meter on the main pipe and save it to a database. Optical Character Recognition (OCR) technology is used to convert the image into text that can be processed. The test results show that the average error in meter readings is 0.215% with an average accuracy rate of 98%. Overall the system works well in reading digital meters and is reliable in monitoring water consumption visually and in real-time. Thus, this method can be an effective solution in detecting water leaks and improving the efficiency of water supply management by PDAMs, as well as saving resources and operational costs.
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.
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
Co-Authors Agus Raikhani Andi Imran 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 Fikri Haiqal Mochamad Ali Rofiq Muhammad Ade Yusuf Alghifrani Muhammad Ruswandi Djalal Muhlasin Nurul Azizah Rio Firmansyah Rizqi Nafiardli Rukslin Septa Dwi Candra Sunarto Sunarto Yanuangga Galahartlambang Zulhajji