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PROtek : Jurnal Ilmiah Teknik Elektro
Published by Universitas Khairun
ISSN : 23548924     EISSN : 25279572     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy
PROtek adalah jurnal ilmiah teknik elektro yang pertama kali dipublikasikan pada September 2013. Jurnal PROtek berada di bawah asuhan Program Studi Teknik Elektro Fakultas Teknik Universitas Khairun, yang merupakan wadah ilmiah untuk menyebarluaskan hasil-hasil penelitian dan kajian analisis yang berkaitan dengan bidang keilmuan sistem tenaga listrik, teknik kendali, telekomunikasi, elektronika, dan teknologi informasi.
Arjuna Subject : -
Articles 407 Documents
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Design and Build Mppt Solar Charge Controller Using Buck Converter On Photovoltaic Based Microcontroller Pic Widodo, Teguh Rahayu; Fatkhurrozi, Bagus; Setiawan, Hery Teguh
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 3 (2024): Protek: Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i3.5817

Abstract

Photovoltaic (PV) is a component for converting solar energy into electrical energy. On the other hand, the characteristics of PV performance are fluctuating, additional circuits are needed to maximize PV performance. This research discusses the maximum power point tracker (MPPT) in a solar charge controller system using PIC microcontroller as a solution to maximize PV performance. The MPPT algorithm used is perturb and observe (PO) with PV power parameters because this algorithm is often used and has good efficiency. This research system was tested using a voltage scale of 15 V, 16V, 17 V, 18.1 V, 19 V, 20 V, 21 V, 22 V, 23.1 V, 24.1 V, and 25 V with the lowest average error value of 3.01447379% and highest 4.312288%. Testing the working characteristics of the 120WP solar panel shows that the solar panel will work optimally when the conditions are sunny and the temperature is not high. The results of testing solar panels with the highest average output voltage of 22.1 V. From testing the system on solar panels shows the value of the ADC output voltage with an average of 12.603V in sunny conditions, 12.372V in sunny cloudy conditions, 12.23V in cloudy conditions, 12.5 V in an obstructed condition. In testing system efficiency using the PO algorithm with an average result of 80.4818%.
Face Recognition Using Local Binary Patterns Histogram Method Using Raspberry PI Wibowo, Budi Cahyo; Rozaq, Imam Abdul; Yusva, Andre Maulana
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.4894

Abstract

Throughout his life, humans have the ability to recognize tens to hundreds of faces. One of the biometric techniques that relate body measurements and calculations that are directly related to human characteristics is a system that can detect and identify faces. To be able to overcome various current problems, facial recognition is required through computer applications, including identification of criminals, development of security systems, image and film processing, and human-computer interaction. So the author makes a face processing system based on Raspberry Pi with the Local Binary Patterns Histogram (LBPH) method. In running a facial recognition system using a face, at the initial stage the process of sampling the face of the person who is the owner of the room access is carried out. Then from the face samples that have been obtained, the learning process is carried out by converting the image into digital values through the Local Binary Patterns Histogram method. This method reduces image data into simpler data, to speed up the face recognition process. The results of the test show that face recognition works as expected, even being able to detect at low light brightness values (≥6 lux) and even face recognition accuracy of 79.15%. For face data that has been through the learning process, the face can be recognized, then the recognized face data is stored in a directory.
Comparative Analysis of the Quality and Electrical Energy of Wood Waste Briquettes with Natural (Starch) and Synthetic Adhesives (Synthetic Rubber Adhesive) Arnando, Vito; Jelita, Marhama
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i2.7153

Abstract

On average, small and medium-scale wood processing industries produced at least 2 to 4 cubic meters of wood a day, this production produced 0.25 to 2 m3 of wood waste a day. In fact, this waste can be used as a renewable energy source by processing it into briquettes. This research will produce wood waste briquettes using the pyrolysis method from two types of adhesive, namely starch and synthetic rubber adhesive with a composition ratio of 3:1. Apart from that, the resulting briquettes were tested using a bomb calorimeter to obtain the calorific value, water content, ash content, and volatile matter content, and then compared with the SNI 01-6235-2000 standard. The resulting briquettes were then calculated using mathematical calculations for the potential electrical energy they could generate. From laboratory tests, the calorific value, water content, ash content, and volatile matter content of natural adhesive briquettes were obtained at 5194.44 cal/g, 11.3%, 1.36%, and 40.8%, while synthetic adhesive briquettes respectively had values of 6369.46 cal/g, 4.33%, 2.74%, and 25.54%. From these results, synthetic adhesive briquettes had better calorific value, water content, and volatile matter content compared to natural adhesive briquettes. Apart from that, synthetic adhesive briquettes also had greater energy potential with an energy potential of 7,407 kWh/kg compared to briquettes with natural adhesives which only had a value of 6,041 kWh/kg. Thus it can be concluded that synthetic adhesive briquettes are better quality compared to natural adhesive briquettes because they can generate greater energy, and meet 3 of the 4 test parameters based on SNI while natural adhesive briquettes only meet 2 of the same 4 test parameters
Designing Logical Sequence by Using Microcontroller as Security Tools Aminudin, Nur; Feriyanto, Dwi; Salimu, Salman Alfarisi; Wicaksono, Garda Arif; Cahyadi, Septian; Sukamto, Anton; Rahman, Taufik
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6268

Abstract

The objective of this paper are 1) to tell how to design logical security tools by using microcontroller 2) to describe the sequence of designing logical using microcontroller toward security controller. To explain the sequence step by step the researcher used design electronic chain. An Embedded system usually consists of at least a system unit microprocessor its memory for the program, data also input or output interface simple system. The interface like floppy disk, keyboard, appearance or printer which are usually available on the personal computer exactly is not available at the micro control system.  Microcontroller systems are used for important simple works like control motors, switch, variable resistor or electronic device, one of micro control used is box control or safe deposit boxes such as house, office, or bank for safe security. By utilizing micro control, the owner has valuables are not felt worried about the safe deposit box from stolen
Feasibility Study of Hybrid Photovoltaic (PV)-Generator Set Power Plant at Palm Oil Mill Saputra, Ramadian; Jelita, Marhama
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 1 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i1.7720

Abstract

Kuko Palm Oil Mill, currently not interconnected with PLN electricity, relies on diesel-fueled generators of 1100 kVA and 650 kVA to meet its electrical needs. To reduce diesel consumption, a Hybrid Power Plant (PLTH) system comprising generators, batteries, and Photovoltaic (PV) panels is proposed. Optimization studies, evaluating technical and economic feasibility, are conducted using HOMER software. Optimal PLTH configuration includes 8,727 kW PV, 500 kW generator, 1,000 kW generator, 25,708 battery units, and 1,481 kW converter. PLTH generates 14,339,116 kWh/year, fulfilling PKS electricity requirements. Economic analysis yields NPC of Rp356,000,000,000, initial investment of Rp77,400,000,000, operation and maintenance costs of Rp21,600,000,000, and LCOE of Rp3,147/kWh. IRR stands at 22%, NPV is positive at Rp124,000,000,000, with a 3.5-year capital return. These results indicate PLTH feasibility both technically and economically
Potential Utilization of Flue Gas Using Organic Rankine Cycle (Study Case PLTMG Balai Pungut-Duri) Triyanti, Riska; Jelita, Marhama
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6270

Abstract

PLTMG Balai Pungut-Duri is one of the largest gas engine type power plants in Riau with a capacity of 7x16 MW. The efficiency produced by the Balai Pungut-Duri PLTMG is 38% with the standards set by PT. PLN Efficiency in this type of generator is 45-47.5%. One of the factors that causes a reduction in the value of efficiency in power plants is that energy is converted into work and some is wasted, one of which is energy from flue gas. The purpose of this study is to examine the potential for utilizing flue gas using the Organic Rankine Cycle (ORC). The method used in this study is the law of thermodynamics 1 to determine the parameter values needed to determine the efficiency and power generated using the Engineering Equation Solver software. From the results of the calculations carried out, the Balai Pungut PLTMG produces an efficiency of 38.49% and a power of 14,530 kW under excited conditions. In utilizing flue gas using an organic rankine cycle it produces an efficiency of 19.97% with a power of 4,556 kW. the combined efficiency that can be produced by PLTMG Balai Pungut-Duri is 50.56% with a total power of 19,086 kW, with an efficiency increase of 12.07%. The results of the study show that the use of flue gas energy can increase efficiency according to PLN standards.
A Novel Model for Prediction of Flashover 150kV Polluted Insulator Based on Nonlinear Autoregressive External Input Neural Network Hasanah, Mardini; Novizon, Novizon; Qatrunnada, Rusvaira; Warmi, Yusreni; Amalia, Sitti; Yamashika, Herris
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 3 (2024): Protek: Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i3.7344

Abstract

This study aims to use an artificial neural network to forecast the flashover voltage of a polluted high-voltage insulator. Practical tests were conducted on a high-voltage insulator to gather data for the neural network. These tests were carried out with varying levels of real contaminants from used insulators, with each level of contamination measured in milliliters. The collected data provides flashover voltage values corresponding to different pollution amounts and their conductivity in each insulator zone. The Nonlinear Autoregressive External Input Neural Network (NarxNet) is employed to predict the flashover voltage and assess the pollution state of the insulator. The results demonstrate that the NarxNet method achieves a 93.74% accuracy rate in predicting the flashover voltage of high-voltage insulators, compared to the results from practical tests.
Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination Altim, Muhammad Zainal; Basalamah, Abdullah; kasman, kasman
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 1 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i1.9396

Abstract

The purpose of this study is to design and build a CNN deep learning program modeling for a mobile application for rice quality classification and analyze the performance of a mobile application-based classification program as a means of halal information in real time. The method applied is an experimental method that utilizes machine learning technology by using many rice images that are used as datasets. The data of these images is classified by their shape, color and background. This image is used as a reference for the training dataset. After the CNN training model is formed, it is then set up in a web editor p5.js then an interface is created to connect to a server such as Google Cloud using FastAPI, which can be accessed using a mobile application or a web server such as Chrome. In the mobile application, create an interface to connect with the camera system and data base on the cloud server. The results of the study were obtained that CNN deep learning modeling can be used in real time. In web browser usage, the data shown is also affected by lighting. The accuracy level of the built model reached above 99.8 percent with a validation accuracy rate of 99.7 percent in the data training process. When testing, the average accuracy of the data was around 99.9 percent. This clearly proves that CNNs can be used to classify objects properly and accurately.
Implementation Of Remote Hand Tractor Control Device With The Use Of Solar Panels As Battery Charging Hidayatullah, M Wahyu; Ariandi, Muhamad
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i2.6750

Abstract

Technological progress has developed very rapidly along with the times. The hand tractor is a form of technological progress in agriculture. The use of hand tractors for processing agricultural land has replaced the function of buffalo in tillage activities because they are far superior in terms of effectiveness and efficiency. The hand tractor with a remote control system using flysky is the latest innovation created with the hope of increasing effectiveness and efficiency, as well as safety. and operator comfort in operating the hand tractor. With the application of solar panels as a charger for remote tractor control devices, this can save the use of electrical energy, this tool has proven successful in trials. Thus, this automated solution has the potential to increase productivity and efficiency in agriculture. System Performance When Using a Tractor. Through testing with 3 trials (6 hours, 7 hours, and 8 hours), the battery voltage remained above 12V. The combination of batteries and solar panels used ensures the system operates well during tractor use.
Oil Filter Machine for Deep Frying with Smartphone Control and Monitoring using Client-Server Communication Protocol Ramadhan, Aditya; Nurdin, Ali; Suroso, Suroso
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 1 (2024): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i1.6432

Abstract

The prevalence of fried snack consumption in our surroundings has become a widespread phenomenon. These fried snacks, commonly relished by many, are frequently served as side dishes with our main meals and are also a popular choice for satisfying quick hunger cravings. By utilizing the client-server communication method, this device can be assisted in its operation. The device employs ESP8266 as both the transmitter and receiver, while a smartphone serves as the control and monitoring tool. The primary purpose of this setup is to enhance the efficiency of oil-based food consumption, promoting healthier habits. The data collected from the device is split into two categories. Firstly, the communication data consists of the average RSSI (-52dBm) measured at a distance of 1 meter, with RSSI values increasing and becoming more susceptible as the distance grows. Secondly, the machine was tested for oil drainage in food, resulting in a weight decrease of 2.6% after 60 seconds of device usage, and the percentage of weight reduction increased with the given time.

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