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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Teknologi Informasi dan Ilmu Komputer Frontier Energy System and Power Engineering Jurnal JEETech BEES: Bulletin of Electrical and Electronics Engineering Jurnal Fortech SinarFe7 Nucleus Journal Jurnal FORTECH

Dwi Ajiatmo

Department of Electrical Engineering, Universitas Darul Ulum Jombang, Jl. Presiden KH. Abdurrahman Wachid 29 A, Jombang, East Java, Indonesia.Telp. (+62321) 854106

Author-ID : 223161

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

Published : 12 Documents Claim Missing Document

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MPPT Based on Fuzzy Logic Controller (FLC) for Photovoltaic (PV) System in Solar Car Aji, Seno; Ajiatmo, Dwi; Robandi, Imam; Suryoatmojo, Heri
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 2 (2013)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2013.v4.127-134

This paper presents a control called Maximum Power Point Tracking (MPPT) for photovoltaic (PV) system in a solar car. The main purpose of this system is to extracts PV power maximally while keeping small losses using a simple design of converter. Working principle of MPPT based fuzzy logic controller (MPPT-FLC) is to get desirable values of reference current and voltage. MPPT-FLC compares them with the values of the PV's actual current and voltage to control duty cycle value. Then the duty cycle value is used to adjust the angle of ignition switch (MOSFET gate) on the Boost converter. The proposed method was shown through simulation performed using PSIM and MATLAB software. Simulation results show that the system is able to improve the PV power extraction efficiency significantly by approximately 98% of PVâ€™s power.

Optimization of AVR in Micro-hydro Power Plant Using Differential Evolution (DE) Method Firmansyah, Rio; Ali, Machrus; Ajiatmo, Dwi; Raikhani, Agus; Siswanto, Makhaban
Frontier Energy System and Power Engineering Vol 2, No 1 (2020): JANUARY
Publisher : Universitas Negeri Malang

Micro-hydro Power Plant had three primary components: water (as the energy resource), turbine, and generator. Water that flew in a specific capacity was channeled from a certain height to the installation house (turbine house). In the powerhouse, the water installation pounded the turbine that made the turbine received direct energy from the water and turn it into mechanical energy and caused the turbine shaft to spin. Changes in the loading could cause fluctuation in the systemâ€™s frequency and voltage. This problem could damage electrical equipment. Therefore, the Automatic Voltage Regulator (AVR) was used to control and stabilize the voltage. This research used PID controller to obtain the optimized control parameter in the Micro-hydro Power Plant. This research compared the simulations of without control method, with PID-ZN control method, and with PID-DE method to obtain the best control method. The comparison simulations showed that the best response in the micro-hydro plant and the AVR system was from the PID-DE controller. These results might be a reference for future research with other methods that might generate better results. Â Â

Desain Lampu Cerdas Berbasis Arduino Nano Untuk Kondisi Bencana Ajiatmo, Dwi; Malik, Fahad Abdul; Raikhani, Agus
BEES: Bulletin of Electrical and Electronics Engineering Vol 4 No 2 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v4i2.4302

This research offers the manufacture of an emergency light prototype using Arduino Nano as the main controller. This prototype uses a buck converter in collaboration with an Arduino Nano to regulate the duty cycle with Pulse Width Modulation, based on feedback from voltage and current sensors. MOSFETs are used to regulate the voltage from a 10 Wp solar panel using the PWM method which is controlled by Arduino Nano. This buck converter is an inverting type because it changes the position of the supply voltage. Maximum Power Point Tracking (MPPT) technique is used to optimize energy from solar cells by finding optimal working points, ensuring maximum efficiency. This research also uses a 3.7 V lithium battery with a capacity of 18,650 mAh as a load for a series of prototype lights with the Joule Thief concept. The Joule Thief circuit is a minimalist oscillating voltage amplifier that is economical and easy to make, suitable for driving LED lights or DC dynamos. The results of this research show that the DC-DC MPPT buck converter based on the Arduino nano microcontroller can work well. By setting the duty cycle to 80 percent and a frequency of 62.5 kHz, current and voltage measurements produce an output of 4.95 volts - 5 volts.

Metode Pengumpulan Data Debit Air Pada Saluran Distribusi Air PDAM Makassar Berbasis IoT Imran, Andi; Nurul Azizah; Gunawan Zain, Satria; Zulhajji; Ajiatmo, Dwi
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

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 Kontrol Suhu Tungku Pemanas Menggunakan Metode Firefly Algorithm (FA) Rizal Anas, Febrian; Ajiatmo, Dwi; Nurohmah, Hidayatul; Ali, Machrus
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

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

Aplikasi Algoritma Differential Evolution untuk Desain Optimal Load Frequency Control pada Pembangkit Listrik Tenaga Hibrid Angin dan Diesel Djalal, Muhammad Ruswandi; Ali, Machrus; Nurohmah, Hidayatul; Ajiatmo, Dwi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Perubahan fluktuasi frekuensi sangat mempengaruhi kualitas daya pada sumber energi terbarukan turbin angin yang dihibrid dengan diesel. Sistem hibrid adalah jaringan terkontrol dari beberapa pembangkit tenaga energi terbaharukan seperti : turbin angin, sel surya, mikrohidro dan sebagainya. Ada beberapa permasalahan yang dapat meningkatkan osilasi frekuensi rendah, seperti tidak optimalnya setting gain dan kecilnya waktu konstan pada Automatic Voltage Regulator, Terlalu banyak jaringan transmisi yang panjang sehingga kemampuan lemah (weak line). Dalam penerapannya sistem wind-diesel dikontrol dengan kontroler PID, namun dalam penyetelan nilai gain dari PID masih dalam metode trial-error saja, sehingga sulit untuk mendapatkan nilai optimum dari PID. Dalam penelitian ini diterapkan desain kontrol dengan menggunakan Metode Cerdas dalam mencari nilai optimum Proporsional Intergral Derivatif (PID) untuk mengatur frekuensi beban dengan program Matlab/ Simulink. Pemodelan wind-diesel menggunakan fungsi transfer dari diagram turbin angin dan diesel. Respon sistem dengan Simulink/ Matlab dengan membandingkan dengan sistem tak terkontrol dan dengan metode PID-Trial Error, menunjukkan bahwa besar overshoot dan respon keadaan mantap (Settling Time) pada sistem terkontrol Differential Evolution (DEVO) menjadi berkurang dan lebih cepat.AbstractChanges in load frequency greatly affect the power quality of renewable wind turbine energy sources with diesel. Hybrid power system is a network consisting of several renewable energy plants such as wind power, solar power, hydro power, and others. Some problems can increase the low frequency oscillations in the system, such as gain settings and small time constants of the non-optimal Automatic Voltage Regulator, long transmission lines so that their capabilities are weak (weak line). In some previous studies, the wind-diesel system is controlled by conventional Proportional, Integral, Derivative (PID) controllers, but the PID gain setting is still in the trial-error method, making it difficult to obtain optimal PID values. In this research, we proposed a method of optimizing PID parameters in wind-diesel by using intelligent method based on Differential Evolution (DEVO). The objective function of this research is to minimize Time Absolute Error (ITAE), so that the overshoot will be muted properly. Wind-diesel modeling uses the diagram of the transfer function of wind-diesel. From the analysis results obtained optimal PID parameters respectively, Kp = 79.9999, Ki = 59.9998, Kd = 9.9006. The smallest resulting overshoot is -7.932e-05 to 6.792e-10 pu where the smallest overshoot value is compared to other controller models. The frequency response obtained by optimal PID tuning will dampen the frequency oscillation due to load changes, indicated by small overshoot and fast settling time to steady state conditions.

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

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

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

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

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

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)

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 Agus Raikhani, Agus Ali Fikri Haiqal, Mochamad Andi Imran Gunawan Zain, Satria Heri Suryoatmojo Hidayatul Nurohmah, Hidayatul Imam Robandi Machrus Ali Machrus Ali Malik, Fahad Abdul Muhammad Ruswandi Djalal Nafiardli, Rizqi NURUL AZIZAH Puji Astoro, Fany Wahyu Rio Firmansyah, Rio Rizal Anas, Febrian Seno Aji Siswanto, Makhaban Sunarto Sunarto Zulhajji

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