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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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Increasing the Soil Resistance Value in the 20 kV Medium Voltage Distribution Network using the Soil Treatment method Taryo, Taryo; Fauzi, Andri Ahmad; Rosidi, Rosidi
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.v12i1.8238

Abstract

This study aims to enhance soil resistivity in a 20 kV electrical distribution network using a mixture of rice husk ash and mangrove wood charcoal. Rice husk ash is an additive known to reduce grounding resistance due to its water-absorbing properties, maintaining soil moisture. Effective grounding system is crucial to ensure fault currents can safely dissipate into the ground, protecting equipment and maintaining electrical distribution continuity. PUIL 2000 standards mandate soil resistivity below 5 Ω. The study method involved initial soil resistivity measurements using a Digital Earth Tester 4015 A, adding various mixtures of rice husk ash and mangrove wood charcoal around electrode planting areas, and periodic resistivity measurements over five days after four mixture additions. Scheme 1, 70% mangrove wood charcoal and 30% rice husk ash. Scheme 2, 30% mangrove wood charcoal and 70% rice husk ash. Scheme 3, 100% rice husk ash. Scheme 4, 100% mangrove wood charcoal. Results showed significant resistivity reduction, with the 30% rice husk ash and 70% mangrove wood charcoal mixture lowering resistivity to an average of 3.78 Ω, reflecting a 43.5% decrease from the initial value. Adding rice husk ash and mangrove wood charcoal to field soil enhanced soil conductivity, enabling resistance reduction to meet safety standards. This study recommends this blend as an effective and economical alternative to reduce grounding resistance in 20 kV electrical distribution systems.
IoT-based Automatic Pesticide Sprayer Control System on Guava Trees wibowo, budi cahyo; Setyaningsih, Noor Yulita Dwi; Setiawan, Riyan _
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.v11i3.7724

Abstract

The development of the use of agricultural technology is currently very rapid to meet the increasing basic human needs, according to water guava farmers in Penanggungan village who said that in the last year there has been an increase in water guava fruit orders by consumers. Therefore, we need a tool to help farmers in terms of cultivating water guava fruit. In this case the use of technology used in the application of automatic pesticide sprayers on water apple trees based on IoT, previously spraying was carried out by farmers manually so that with this automatic pesticide sprayer it can help farmers work in guava cultivation. This monitoring system utilizes Internet of Things technology. This study uses component input outputs, including NodeMCU ESP8266, RTC sensors, relays, LCDs. The software used for system monitoring uses Blynk software. The results of the study obtained success reaching 100% with automatic spraying successfully functioning, when the time was 16.00 WIB the pump would automatically start spraying pesticides and when the time showed 16.01 the pump would stop spraying. Notifications can be sent to the Blynk app
Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants with ANN Back Propagation Nisworo, Sapto; Pravitasari, Deria; Ayub Wahab, Iis Hamsir
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 2 (2023): 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.v10i2.6040

Abstract

The focus of this research is optimizing a wind power plant using a Permanent Magnet Synchronous Generator (PMSG). The backpropagation method of the artificial neural network system was chosen to optimize the output power of the wind power generator. Based on the simulation results, the backpropagation algorithm of the artificial neural network obtains the output power based on the input variable in the form of changing wind speed. The results show that the best value is learning rate = 0.5, error = 0.0001, max. epoch= 100000, neuron hidden layer = 5. The Mean Square Error (MSE) value obtained is 0.1026 reaching the goal at epoch 14845. The reverse training regretion reaches 0.99917. The optimization results are close to the specified error, which is 0.0001, while what is obtained is 0.0145. The power generated by the wind speed is 10.7 m/s before being optimized using the back propagation neural network method worth 321 watts, while the optimized power results are 409 watts. The difference in the average target power obtained is 88 watts compared to the power of the Artificial Neural Network (ANN). 
Scalability and Performance Analysis of LoRaWAN Networks for IoT Implementation: Comprehensive Review and Research Agenda Mujahidin, Irfan; Reynaldi, Rindang
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.v11i2.6377

Abstract

The surge in IoT devices has created the need for a scalable and high-performance network infrastructure capable of handling massive data flows and diverse application requirements. Among the various wireless technologies available, with long-range communication capabilities, low power consumption, and cost-effectiveness, the Low-Power Wide-Area Network (LPWAN) has emerged as a highly popular choice for numerous applications. This literature review aims to provide a comprehensive overview of recent developments in scalability and performance analysis of LoRaWAN networks for IoT implementation by reviewing existing research and identifying key challenges and opportunities for the research agenda. In the research on LoRaWAN performance in IoT, five characteristics have been proven and become factors for using LoRaWAN in IoT: low energy power usage, wide coverage, low cost, stable data transmission speed, and system reliability. However, not many have discussed its security. Based on the literature review, LoRaWAN does have some characteristics that make it suitable for large-scale IoT applications. This review will contribute to advancing knowledge in this field, enabling the development of scalable and high-performance IoT systems to meet the demands of the growing IoT ecosystem
Implementation of Hand Tractor Control Device Remotely Using Flysky Fs-I6 Remote Control Wahyudi, Riyan; Ariandi, Muhamad
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.v11i1.6741

Abstract

The use of hand tractors for agricultural land processing still causes several problems such as work fatigue and ergonomic problems for the operator. From these problems the author has the idea to build a tool that can be attached to a hand tractor so that the hand tractor can be controlled using a remote control. The purpose of this final project is to make a remote hand tractor controller, find out the performance of the tool, and find out how the tool works. The method used consists of system design, tool making, and testing. In the hardware part, the main control uses an ATmega328 microcontroller on an Arduino nano board, flysky fs-i6 remote control as a remote command sender input, servo motor as the output of the gas mechanical drive on the tractor disel, motor driver as an output amplifier to drive the DC power window motor that pulls the tractor clutch, solar panel for battery charging, pzem sensor to measure the power coming out of the solar panel. To design the software schematic used is fritzing software, and for program creation using Arduino IDE software. Based on the test results of the tool installed on the hand tractor, it shows that this tool has been successful and the tractor can be controlled remotely. The remote tractor controller works with a power supply voltage in the range of 12 volts DC. The receiver on the tool works with a voltage of 5.0 volts DC with a transmission range that can cover a distance of up to 1000 m. The servo motor works at a voltage of 5.0 volts DC. The mechanical clutch is capable of being pulled by a DC power window motor that works with a voltage of 12 volts DC.
Parking Management System Prototype Using Multiplatform Based NodeMCU Akhriana, Asmah; Husain, Husain; Aisa, Sitti; Arifin, Suci Ramadhani; Nur, Muhammad Muhaimin; Sulihin, Hafsah
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.v11i3.8838

Abstract

Currently, the parking management implemented in several public places has not been managed properly, resulting in a buildup of vehicles and it is difficult for many vehicles to find a parking space. The Maspul Jaya boarding house as an example has challenges in managing parking because there are a large number of residents with 60 rooms and a limited number of parking lots, which means residents often have difficulty getting a parking space in the boarding house area. This research aims to design a prototype parking management system using NodeMCU and RFID card technology as a replacement for room number stickers on Maspul Jaya Boarding House residents' vehicles with a multiplatform Android and iOS-based application connected to the network. The data obtained will be processed by the microcontroller and sent to the database server and then displayed in the application. The application testing method used is Blackbox and direct testing of the system hardware. The results of this research are that at the entrance gate, residents can enter through the parking barrier if the driver brings the vehicle close to the infrared proximity sensor, the RFID card is registered, the card status is active and the driver is not detected as being parked. When all conditions are met, the servo as the entrance parking gate will open, and the opposite condition will occur on the side of the exit gate. The maximum reading distance between the object and the sensor is 8 cm and RFID cards can be read at a maximum distance of 3 cm. Apart from that, the results of black box testing on the input-output of this application function well and are free from errors so that monitoring can be carried out via the application on data related to empty parking slots and the history of vehicles that have been parked using both the Android and iOS platforms. With this system, parking management at the Maspul Jaya boarding house will become more organized and efficient.  
Carbon Monoxide (CO) Level Measurement Using Internet of Things (IoT) Based Drone with NodeMCU ESP32 Trisnanti, Sefrina Putri; Yantidewi, Meta; Deta, Utama Alan
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.v11i3.6237

Abstract

Carbon monoxide (CO) is a dangerous gas with no odor, color, or taste and can easily mix with other air around it. This study aims to design and determine the results of measuring CO levels using a drone integrated with an MQ-7 gas sensor and an IoT-based ESP32 nodeMCU by manipulating the time and height of measuring CO levels. The method used is data acquisition in the form of a data retrieval process from the MQ-7 sensor programmed with the ESP32 nodeMCU via the ThingSpeak web.  The results of measurements of CO levels in Ketintang, Surabaya air quality in the medium category at 07.00-11.00 WIB and good at 15.00 WIB. Measurement at 07.00 WIB CO levels are higher than at 11.00 WIB and 15.00 WIB. This can occur because the use of motorized vehicles and the process of burning waste in households is denser. Most of these activities are carried out close to the ground so that the higher the altitude in measuring CO levels, the lower the CO levels detected. Other factors that affect CO levels are temperature, wind speed, and weather when taking measurements. Based on the results of the study, it can be concluded that hours and altitude affect the CO levels produced.
Analytical Hierarchy Process Algorithm for Traffic Sign Improvement Priority Tamsir, Nurlindasari; Rosida, Vivi; Akhriana, Asmah; Intan, Indo; H.Umar, St. Amina
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 3 (2023): 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.v10i3.5109

Abstract

Traffic signs are part of road equipment that is very important for motorists because they can provide direction while on the highway, and if there is damage, repair or replacement must be carried out immediately because it can cause traffic accidents. Data collection for damaged traffic signs is still done using the manual method, so it takes a long time. Therefore, a web- and android-based application was designed that implements the Analytical Hierarchy Process (AHP) algorithm in determining the priority of repair or replacement of traffic signs on the route of South Sulawesi Province. As a result of this research, the public can report the type of damage and its location via Android, and then the officer processes the data so that it displays the type of damage that is a priority for repair or replacement. Implement the Analytical Hierarchy Process algorithm into the application for prioritization of traffic sign improvement using two (two) web-based and Android platforms. System design using UML produces use cases (2 actors, admin, and user) and class diagrams (15 admin classes and 4 user classes). The black box used as a test produced 40 modules, of which all were in line with expectations
Comparison of Feature Extraction Methods for Conducting Sentiment Classification in Ternate Malay Language using Machine Learning Approaches Surya, Satria Dwi; Utami, Ema; Yaqin, Ainul
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.v11i3.7262

Abstract

Local people in Ternate, North Maluku, often use local languages to communicate on social media. This poses a challenge for newcomers to understand the implied meaning and emotions of the messages conveyed through social media. This research aims to develop a natural language processing (NLP)-based emotion classification method that can be applied to Ternate Malay text datasets. The application of NLP is expected to improve the accuracy of emotion detection and classification in the text. The research was conducted by applying and comparing the performance of several classification models trained using Ternate Malay text datasets. The models used include SVM (Support Vector Machine), K-Nearest Neighbors (KNN) Random Forest, Decision Tree and Logistic Regression. Each model is applied using BoW (Bag-of-Words) and Word2Vec vectorization representations. The evaluation results show that the BoW+SVM model provides the highest performance with 77% accuracy, followed by BoW+Random Forest (75%) and BoW+Logistic Regression (73%). Thus it can be concluded that NLP can be applied to the Ternate Malay language dataset to classify emotions based on text.
Low Intricacy‎ Multistage Algorithm for Underwater Image Enhancement Al-Ameen, Zohair; Ahmed, Ahmed A.
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.v11i1.6888

Abstract

Humanity currently lives in a technological era that witnesses rapid progress in multiple fields. Digital image processing is one of the modern technologies that has provided practical answers to many challenges including image enhancement, analysis, reconstruction, recovery, compression, processing, and understanding. One of these notable challenges relates to underwater photography. Underwater images are always exposed to less-than-ideal conditions due to environmental and physical factors. These include refraction of light in water, scattering of particles and dust in the aquatic medium, lack of illumination in deep water, and poor contrast. These challenges make it extremely difficult to analyze and extract valuable information without advanced processing.  In this study, an improved color balance-fusion algorithm is provided by improving the image visuality and modifying some equations to obtain sharper and clearer images. The proposed algorithm begins by finding the white balance of the input RGB color image, after that, it improves the intensity. Next, the edges are improved using Gamma separately. The weights are then found for each image and combined to find naive fusion. The resulting image is processed using a color retrieval algorithm to produce the final image. along with comparisons to eleven other algorithms with various processing methods. Experimental results showed that this algorithm can significantly improve underwater images, increasing image clarity and making colors clearer. The improvement rates reached 5.8389 and 2.6778 for UISM and UICM metrics, respectively.

Page 34 of 41 | Total Record : 407

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