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Journal : JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)

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
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.
Prototype Monitoring and Controlling of Wastewater Treatment Plant (WWTP) on IoT-Free Output Channels  Iswanto Iswanto; Fachrudin Hunaini; Dedi Usman Effendy
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.v7i1.1660

Abstract

The largest water pollution occurs due to the disposal of waste from the industrial sector, while some of it comes from the household sector. In the labor-intensive industrial sector and the household sector, domestic liquid waste is generated. The high level of liquid waste pollution can be overcome by using a wastewater treatment plant (WWTP). Wastewater parameters according to research that has been done, namely pH, Turbidity, and Ammonia are very important parameters and the main priority for the quality of wastewater discharged into the environment. In this study, a prototype monitoring and controlling WWTP on the output channel was designed by measuring wastewater parameters and an Internet of Things (IoT) based pump output control system. This prototype is programmed with 2 mode options, namely auto mode where the controlling system works based on program commands with target limits, namely pH 6 – 9, Turbidity < 300 NTU, and Ammonia < 20 PPM, if the wastewater measurement value is on target, the system activates the outgoing pump. for direct disposal to the environment. Meanwhile, if it does not meet the target, the system activates the treatment pump to return the wastewater back to the WWTP. Then the manual mode, which is the controlling system, works by operating the operator directly to activate the outgoing or treatment pump on a smartphone using the Blynk application. In Auto and Manual mode, wastewater parameters can be monitored on a smartphone using the Blynk application. All sensors used have been calibrated with 2 calibrator solutions. The calibration results show an error value of 0.115 for the pH sensor, an error value of 0.075 for the Turbidity sensor, and an error value of 0.115 for the Ammonia sensor.