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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JURNAL PENGABDIAN KEPADA MASYARAKAT JURNAL NASIONAL TEKNIK ELEKTRO Resona : Jurnal Ilmiah Pengabdian Masyarakat Conference on Innovation and Application of Science and Technology (CIASTECH) Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan JASEE Journal of Application and Science on Electrical Engineering JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
Fachrudin Hunaini
Teknik Elektro, Universitas Widyagama Malang
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Optimisasi Steering Control Mobil Listrik Menggunakan Metode Adaptive Neuro-Fuzzy Inference System (ANFIS) Machrus Ali; Fachrudin Hunaini; Yanuangga Gala Hartlambang
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 6 No. 2 (2015): Oktober, 2015
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v6i2.84

Abstract

Steering Control adalah sistem kemudi yang dirancang untuk akurasi pergerakan steer terhadap lintasan kendaraan dan memperingan sistem kemudi. Beberapa riset telah dikembangkan pada fully automatic steer by wire system. Akurasi pergerakan steer mobil sangat diperlukan dalam keselamatan berkendaraan, baik keselamatan yang ada didalamnya ataupun orang yang ada dedekatnya. Kesalahan pergerakan steer mobil akan mengakibatkan kesalahan posisi mobil pada jalur kendaraan. Untuk mencegah terjadinya yang demikian diperlukan kontrol pengemudian yang dirancang untuk akurasi pergerakan steer terhadap kendaraan dan memperingan system kemudi. Pada penelitian ini sistem kemudi menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS). Pada penelitian ini akan dikembangkan model Fully Automatic Steer By Wire System menggunakan 10 Degree Of Freedom (DOF) terdiri dari 7-DOF Vehicle Ride Model dan 3-DOF Vehicle Handling Model. Hasil ANFIS dibandingkan dengan metode PID konvensional didapatkan hasil yang lebih baik. Dari hasil simulasi didapatkan bahwa Adaptive Neuro-Fuzzy Inference System (ANFIS) mampu mengontrol dengan kecpatan mencapai 69,0 km/h dengan overshot terkecil, yaitu 0,005071 pada C-RMS Error.
Water Level Control Prototype Using Fuzzy Logic Control Optimized by the Cuckoo Search Algorithm Method Farid Yanuar; Fachrudin Hunaini; Gigih Priyandoko
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 4 No 2 (2020): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v4i2.876

Abstract

A boiler is a vessel used to produce water vapor which will be used as heating or propulsion. In the process industry, there are usually boilers that can produce steam to be used to transfer heat to a process. The steam produced by this boiler comes from water that is fed to the boiler and then boiled. After being raised at a certain temperature, the steam is ready to flow to the plant, such as a heater or turbine. In the process of converting water into steam, there are often problems so that the output is not what you want, such as the volume of water that is too large or below the setpoint. The volume of water that does not match the setpoint will cause many problems such as overpressure and overheat which causes the vapor pressure not to the desired specifications. In addition, failure in the control process can also result in system failure which can be fatal, such as damage to the vessel due to poorly controlled feed water which can even cause an explosion because the vessel is not strong enough to withstand the pressure generated [1]. The problems that arise at this time are the Fuzzy method in the Water Level Control System prototype to adjust the long time parameters and poor control accuracy, one of the efforts that is still very likely to be developed is; build an optimization method to solve the complexity of the optimization process, adjust the value of Fuzzy control parameters for a short time and have good control accuracy. The right method is the Cuckoo Search Algorithm (CSA).
Protoype Burner Control of Gas Fuel Oven Machine using Fuzzy Logic Control and Wireless Data Monitoring Imam Wahyu Putra Perkasa; Fachrudin Hunaini; Sabar Setiawidayat
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 5 No 1 (2021): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v5i1.1005

Abstract

In the food processing industry that requires a roasting process using an oven machine, the temperature stability produced by the oven machine greatly affects the output produced. Oven machines that are often used are electric and gas oven machines, the burner control system maximizes the use of gas to fuel the oven engine. This system utilizes input from the DS18B20 temperature sensor which is used to read the temperature in the oven engine. The temperature control of the gas-fired burner control system is carried out by a microcontroller using a fuzzy logic method to control the gas valve in the form of a servo motor to open and close the gas valve automatically. For monitoring and controlling the work of the burner control using Internet of things (IoT) technology by utilizing the NodeMCU ESP8266 microcontroller as a processor and sending data wirelessly to an android smartphone via the BLYNK application which can make it easier for users to get information about actual temperature, setting temperature and timer. By using the fuzzy Sugeno, this system can regulate the gas servo valve with an accuracy rate of 99.93%.
Sistem Kontrol Governor Menggunakan Pid Yang Dioptimasi Dengan Metode Cuckoo Search Algorithm (Csa) Mochamad Riduwan; Fachrudin Hunaini; Muh Mukhsim
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 3 No 1 (2019): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v3i1.2090

Abstract

Indonesia has enormous potential for the Hydroelectric Power Plant (PLTA). Considering that PLTA is an environmentallyfriendly power plant, the components of this plant are worthy of further development. One of them is the development of the hydropower governoor control system. The PID controller is a control system that is often used in the control of theGovernoor System in a hydropower plant because of its simple controller. At present hydro power plants still use theconventional method of PID control trial-error on average. For this method it is difficult to adjust parameters and it takes a long time and the accuracy of controls is not good. Therefore a smart method is needed to overcome this problem.In the past few years, researchers have used many intelligent methods (Artificial Intelligent) to determine the DC PIDparameters. One of them is Cucckoo Search Algorithm (CSA) which is inspired by the behavior of cuckoo birds in placingtheir eggs. By using the CSA method, it is expected to provide a better system response than using the old system PIDcontrol (trial-error). The final goal of the PID control system used in the hydro generator is to regulate the movement ofthe turbine guide vane, which will affect the electrical power produced by the generator. Here the Guide Vane blade settingscan be likened to adjusting the angle of a DC motor. In this study a miniature prototype system governor will be createdthat is controlled by using a PID controller optimized using the Cuckoo Search Algorithm method. In experiments withthe trial error method, the Kp = 3, Ki = 1 and Kd = 10 values with the magnitude of the control parameters obtainedthe average settling time for set point 4 to set point 8 of 24.2 second. Furthermore, the CSA method is used for tuning the PID. After being tuned to the CSA method the values of Kp, Ki and Kd are different for each set point. For set point 4,Kp = 0.99, Ki = 1.00 and Kd = 0.99, while the average settling time is also better than PID trial error, which is 18.8 second.
Prototype Sistem Deteksi Partial Discharge Pada Isolasi Kabel Menggunakan Sensor Microphone Mochamad Zaeynuri Setiawan; Fachrudin Hunaini; Mohamad Mukhsim
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 3 No 2 (2019): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v3i2.2450

Abstract

The phenomenon that often arises in a substation is the problem of partial discharge in outgoing cable insulation. Partial discharge is a jump of positive and negative ions that are not supposed to meet so that it can cause a spark jump. If a partial discharge is left too long it can cause insulation failure, the sound of snakes like hissing and the most can cause a flashover on the outgoing cable. Then a partial discharge detection prototype was made in the cable insulation in order to anticipate the isolation interference in the outgoing cable. Can simplify the work of substation operators to check the reliability of insulation on the outgoing side of each cubicle. So it was compiled as a method for measuring sound waves caused by partial discharge in the process of measuring using a microphone sensor, the Arduino Mega 2560 module as a microcontroller, the LCD TFT as a monitoring and the MicroSD card module as its storage. The microphone sensor is a sensor that has a high sensitivity to sound, has 2analog and digital readings, and is easily designed with a microcontroller. Basically the unit of measure measured at partial discharge is Decibels. The results of the prototype can be applied to the cubicle and the way it works is to match the prototype to the outgoing cubicle cable then measure from the cable boots connector to the bottom of the outgoing cable with a distance of 1 meter. Then the measurement results will be monitored on the TFT LCD screen in the form of measurement results, graphs and categories on partial discharge. In this design the measurement data made by the microphone can be stored with microSD so that it can make an evaluation of partial discharge handling in outgoing cable insulation.
Rancang Bangun Detektor Standart Preform Botol Minuman Menggunakan Metode Jaringan Saraf Tiruan Joko Wahyunarto; Fachrudin Hunaini; Istiadi Istiadi
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 3 No 2 (2019): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v3i2.2515

Abstract

Preform is a semi-finished material from a bottle before cooking in the blowing process. Standards form most, same shapes and colors in one production. However, it does not have to close in one production which requires several preforms that have different colors and weights than other preforms so that they are not included in the standard and must be rejected. In this case a standard detector and color of the preform drink bottle were made using backpropagation neural network method where hardware that loaded arduino uno, photodiode sensor, load cell and HX 711 module and LCD i2c 16 x 2. Photodiode sensors can be used in blue preform together with load cell which is translated directly preform which is directly converted by the HX711 module. Two input data is then processed in the Arduino UNO module. Data output from Arduino UNO is approved on the LCD and processed in the Artificial Neural Network in Matlab on the laptop. The final output of the research results will be displayed in the command window matlab column containing rich "YES" or "NO". In this study backpropagation artificial neural networks as a method to provide accurate assessment by displaying the test results with 19 grams, color density 8 with a voltage of 0.038 Volts and output data is 1 with error data -4.75E13.
Monitoring and Controlling System of Chopped Tobacco Dryer Using Fuzzy Logic Method Bagus Budi Prayogo; Fachrudin Hunaini; Mohammad Muhsin
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 6 No 1 (2022): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v6i1.1631

Abstract

Technological developments in post-harvest on the tobacco drying system which is a process of evaporation of water using heat energy or hot air flow aims to inhibit the growth of fungi and bacteria. The method of processing tobacco using the hot air flow method in the oven currently uses a temperature setting that is done manually and strict supervision must be carried out so that the results of the tobacco oven are not damaged. An automatic tobacco drying system can be an option so that the drying process can produce quality tobacco. By embedding the Fuzzy Logic Controller (FLC) method in the tobacco drying system, the temperature can be controlled by controlling the PWM which aims to turn the heater on and off. The tobacco drying oven system controls the oven to adjust the temperature according to the setting point of 35° and an error of 0.02% and reduces the moisture content to 25.6% remaining in the tobacco
PROTOTIPE SEMI-AUTOMATIC STEER BY WIRE MENGGUNAKAN SISTEM KONTROL OPTIMAL Fachrudin Hunaini; Dicky Dikananda Nafis; Purbo Suwandono; Gatot Subiyakto
Conference on Innovation and Application of Science and Technology (CIASTECH) CIASTECH 2022 Transisi Global dalam Mencapai SDGs 2030
Publisher : Universitas Widyagama Malang

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

Abstract

Tujuan pengembangan sistem kontrol optimal pada prototipe Semi-automatic Steer by Wire adalah Sinkronisasi sudut kemudi (steer angle) terhadap arah pergerakan roda kendaraan sehingga pergerakan kendaraan dapat dikendalikan pada lintasan yang diinginkan. Semi-automatic salah satu tipe  Steer by Wire system yang masih menggunakan steer input untuk mengendalikan arah roda depan kendaraan. Sistem kontrol optimal yang digunakan adalah kombinasi Fuzzy Logic Control (FLC) dengan Swarm based  optimization. Pengujian dilakukan dengan mengoptimisasi sistem kontrol sehingga diperoleh sistem kontrol optimal selanjutnya diterapkan pada prototipe Semi-automatic Steer by Wire dan diperoleh performansi prototipe yaitu C-RMS error­ sebesar 6,712. Prototipe Semi-automatic Steer by Wire dapat beroperasi pada rasio yang berbeda antara sudut kemudi terhadap sudut roda kendaraan yaitu rasio 1 : 25 untuk kecepatan di atas 10 km/h atau saat kendaraan melaju dengan kecepatan sedang hingga  tinggi dan rasio 1 : 6,25 untuk kecepatan di bawah 10 km/h atau saat kendaraan sedang manuver di area parkir. 
SISTEM KONTROL OPTIMAL MENGGUNAKAN FUZZY-BAT PADA MOTOR STEPPER Dicky Dikananda Nafis; Fachrudin Hunaini; Mohammad Mukhsim
Conference on Innovation and Application of Science and Technology (CIASTECH) CIASTECH 2022 Transisi Global dalam Mencapai SDGs 2030
Publisher : Universitas Widyagama Malang

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

Abstract

Motor Stepper adalah motor yang bergerak dengan langkah yang diskrit. Gerakanya memiliki akurasi yang tinggi sehingga sesuai untuk digunakan pada mesin perindustrian tetapi untuk dapat bekerja dengan baik Motor Stepper perlu sistem kontrol dan optimisasi agar sesuai dengan standar mesin perindustrian. Sistem kontrol dibangun dengan tujuan untuk mendapatkan respon yang cepat dengan error yang kecil. FLC-BA (Fuzzy Logic Control - Bat Algorithm) merupakan sebuah metode kontrol dan optimisasi yang dapat memberikan error terkecil dan respon terbaik pada plant ini yang hasilnya dibandingkan dengan metode optimisasi berbasis swarm. Pada plant ini BA lebih unggul ke akurasian yang dicapai tetapi untuk convergence lebih lambat dari PSO dan QPSO. Berdasarkan pada uji Software in the Loop Simulation (SILS) didapatkan hasil bahwa BA memiliki nilai CRMS terkecil yaitu 0.06023. Sedangkan hasil dari uji Hardware In the loop Simulation (HILS) BA dan PSO memiliki output posisi yang hampir mirip.
Monitoring And Control System Of Industrial Electric Motors Using The Internet Of Things (IoT) Irvan Hanafi; Fachrudin Hunaini; Diky Siswanto
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 7 No 1 (2023): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v7i1.1652

Abstract

The electric motor plays an important role in an industry as a driver in a particular system, for example, rotating a pump impeller, fan or blower, moving a compressor, and lifting materials. The electric motor is sometimes called the "work horse" of industry. It is estimated that motors use about 70% of the total electrical energy in the industry. In making industrial motor monitoring and control systems using IoT with the blynk application, it works in showing the parameters of voltage, current, temperature, and RPM. The module consists of an electric motor, a DHT11 sensor, a PZEM004T sensor, an RPM sensor, and an ESP 8266 microcontroller. In the research conducted, the system made is capable of monitoring and controlling many modules. So that the overall monitoring and control system of electric motors in the company can be integrated into a system. In testing the voltage sensor with a measuring instrument there is an error value of 0.04%, while the current sensor has an error of 2.5%, followed by temperature testing there is an error of 1.8%. the RPM sensor parameter has a value of 1.17%. Remote manual control can be controlled using a smartphone with the blynk application so that the operator can immediately turn off the motor remotely if there is a problem or damage to the electric motor.
Co-Authors Andhika Ridho Adisyahrudin Bagus Budi Prayogo Chauliah Fatma Putri Dedi Usman Effendy Dedi Usman Effendy Dicky Dikananda Nafis Dicky Dikananda Nafis Diky Siswanto Diky Siswanto Diky Siswanto Dzuriyat Muhammad Mukhtar Faqih Rofii Farid Yanuar Fressy Nugroho Gatot Subiyakto Gatot Subiyakto Gatot Subiyakto Gatot Subiyakto Gigih Bagus Nurcahya nurcahya Imam Robandi Imam Wahyu Putra Perkasa Irvan Hanafi Istiadi Iswanto Iswanto Joko Wahyunarto Machrus Ali Mochamad Riduwan Mochamad Zaeynuri Setiawan Mohamad Fatkhur Rohman Mohamad Mukhsim Mohammad Faris Wahyudi Mohammad Muhsin Mohammad Mukhsim Muh Mukhsim Muh. Mukhsim Muhammad Ifan Fanani Mukhsim, Muhammad Ngudi Tjahjono Nyoman Sutantra Priyandoko Gigih Purbo Suwandono Rohman, Mohamad Fatkhur Sabar Setiawidayat Sabar Setiawidayat Sandy Tyas Wahyu Apriyanto Sumartono Ali Putra Yanuangga Galahartlambang