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Rudy Kurniawan
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Kampus Terpadu Balunijuk, Kecamatan Merawang, Kabupaten Bangka, Provinsi Kepulauan Bangka Belitung
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Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Published by Universitas Bangka Belitung
ISSN : 23555068     EISSN : 26224852     DOI : https://doi.org/10.33019/jurnalecotipe
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
This scientific journal is called Jurnal Ecotipe (Electronic, Control, Telcommunication, Information, and Power Engineering) with clusters of science in the field of Electrical Engineering covering the field of Electronics, Control, Telecommunications, Information/Informatics, and Power Electricity. The schedule of scientific journal publication is planned 2 times / volume in a year, ie April and October. The author can come from institutions outside the Department or from within the Department of Electrical Engineering University of Bangka Belitung. Aim and Scope : Electronics, Electronic Materials, Microelectronic System, Control System Engineering, Instrumentation and Control Engineering, Robotics, Telecommunication, Modulation and Signal Processing, Antenna and Wave Propagation, Information Technology, Information Theory and Coding, Computer Engineering and Informatics, Electrical and Power Engineering, Transmission and Distribution, Renewable Energy.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 199 Documents
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Application of Learning Vector Quantization and Trajectory Planning On a 4-DoF Robotic Arm to Move the Object Rendyansyah Rendyansyah; Bhakti Yudho Suprapto; Hera Himarika; Irmawan Irmawan
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 10 No 2 (2023): List of the Accepted Article for Future Issues
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v10i2.4429

Abstract

The robotic arm is a type of statistical robot with a limited range of movement. Robotic arms are generally within the scope of Cartesian coordinates, according to the specified link length. The development of robot technology leads us to continue to upgrade soft computing. Intelligent systems in robots can improve good navigation detection systems or carry out the operator's tasks. On the other hand, using a camera is an important part of finding clear information about objects or capturing the environment around the robot. In this research, we implemented an intelligent system and computer-based camera on a 4-DoF robotic arm system. This robotic arm consists of a computer as the main processor, a microcontroller to adjust the joint angle, additional electronics, and a camera to detect objects and classify them by color. The colors used are red, green, and blue. The learning process uses these colors using Learning Vector Quantization (LVQ). The implementation of LVQ also carries out pre-processing, training, and testing stages. In the experiments that have been carried out, the robotic arm successfully navigates toward the target object and moves the object using the Trajectory Planning method. This computing process is done on a computer and connected to the robot arm's microcontroller. The experiment was carried out 60 times, and the success rate was 95%. Overall, the robot successfully picked up objects and grouped them by color.
Feasibility Analysis of the Implementation of a Photovoltaic Water Cooling System Riyani Prima Dewi; Saepul Rahmat
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4442

Abstract

Design of Dipole Antenna at 433 Mhz ISM Band for Underwater to Land Communication Erna Alimudin; Arif Sumardiono; Riyani Prima Dewi; Saepul Rahmat; Hendi Purnata; Novita Asma Ilahi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4472

Abstract

In this research has been designed dipole antenna which is intended for communication underwater to land that worked and implemented into prototype form. Design using the software Ansoft High Frequency Structural Simulator (HFSS) v13 and analyze parameters which are generated in simulation results, namely the Voltage Standing Wave Ratio (VSWR), reflection coefficient (S11), the radiation pattern of two-dimensional and three-dimensional. On its design was made of two dipole antennas that can work in a system as a transmitter and receiver. Both of these Dipole antenna operating at ISM 433 MHz frequency band and produce VSWR = 1.62 at the transmitter antenna and = 1.406 on the receiving antenna. In addition, has been measured radiation patterns by antenna performance. From the results of radiation patterns measurements, obtained two pieces of Main Lobe in its field azimuth.
Prototype of Melon Fruit Quality Sorter Based on Skin Texture Using Local Binary Pattern Histogram Rozaq Arminnur Yuliawan; Riza Agung Firmansyah
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 10 No 2 (2023): List of the Accepted Article for Future Issues
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v10i2.4476

Abstract

Cucumis Melo L is one of the popular fruits in Indonesia. The numerous benefits and various contents of melon make it highly valuable for human health. Determining the quality of melon is crucial, considering its numerous benefits and contents. The quality of melon is determined by the presence of net-like patterns on the surface of the fruit's skin when it is ripe for harvest. Currently, conventional methods that rely on direct visual observation are still commonly used to sort the quality of melons. Therefore, a prototype system was developed to sort the quality of melons based on the texture of their skin. The purpose of this system is to reduce errors caused by eye fatigue and variations in accuracy during the sorting process. In this research, the feature extraction method of the local binary pattern (LBP) was employed, along with the K-Nearest Neighbor (KNN) method for classification. The classification was divided into two grades: Grade A and Grade B melons. The testing phase involved 200 data samples, with each grade consisting of 100 data samples. The results of the testing phase showed a success rate of 96% for the system. Based on the percentage, it can be concluded that the system has successfully performed well in sorting the quality of melons based on the texture of their skin.
Quality of Service Analysis on EaTrain Application at A Restaurant on A Train Destanuari Sufia Mukti; Nurul Hidayati; Abdul Rasyid
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 10 No 2 (2023): List of the Accepted Article for Future Issues
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v10i2.4477

Abstract

One of the services on the train is a dining car that sells food and drinks. However, the current system has problems such as the unclear position and operating hours of the dining car, the lack of menu information, and the difficulty of officers in giving change. The purpose of this research is to make it easier for passengers to order food and drinks, increase the officer’s efficiency in managing menu, and determine the network quality while using the EaTrain application on the train. The EaTrain application was built using android studio with cloud firestore as a database for storing data, and integrated with midtrans payment gateway in making payments. Wireshark software is used to measure the network quality of EaTrain application in train restaurant. The test results show that the EaTrain application can run well on Android 7.0 devices and above. The value of delay, throughput, and packet loss in Quality of Service (QoS) testing while making payments is determined by network quality of each provider. Provider A has average delay of 123ms, packet loss is 10.72%, and throughput is 3974 bps. While provider B has average delay at 1343ms, packet loss is 50.88%, and throughput is 33628 bps.
Analysis of System Operation Optimization In Steam Power Plants with the Lagrange Method Aripriharta Aripriharta; Rafli Amirul Husain; Sujito Sujito; Mohamad Rodhi Faiz; Muchamad Wahyu Prasetyo; Arya Kusumawardana; Langlang Gumilar; Muhammad Afnan Habibi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4479

Abstract

Steam Power Plant (PLTU) is a plant that relies on kinetic energy from hot steam to produce electrical energy. At the Paiton Power Plant, thermal energy is generated from burning a certain amount of coal. The use of coal-fired power plants still dominates most of the world's electricity supply. The optimal operation of electric power systems has grown in importance in recent years due to ever-increasing fuel costs. An electric power system basically consists of power generation units that aim to serve the needs of the load. Total production costs can be minimized by a combination of power loading on existing generating units so that an optimal load or more is obtained. This optimization process is called Economic Dispatch. Economic Dispatch has conducted a lot of research using various optimization methods. In this study, the optimization method to be used is the Lagrange method. Firefly algorithm and genetic algorithm methods are also used as performance comparisons. The results of this study show that the lagrange method can optimize generation costs with a difference of 243,227,475 $ / hour or 7,043% of the actual cost. While the firefly algorithm gets a difference of 243,227,471 $ / hour or 7.043% of the actual cost. And the genetic algorithm gets a cost difference of 242,119,792 $ / hour or 7,011% of the actual cost.
The Solar Tracker Prototype Based on Arduino Uno Setiyono Setiyono; Kunto Wibowo
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4481

Abstract

The placement of solar panels to capture solar energy is generally installed in a certain and fixed position (static). The dynamic change in the sun's position from east to west at any time means that the solar panels absorb less energy. So, installing an automatic driving device on the solar panel to adjust its perpendicular position to the sun's rays is very necessary. This Solar Tracker tool has 4 light sensors that function to identify the intensity of sunlight as a signal entered by the Arduino Uno microcontroller. This information is then processed to become a signal to drive horizontal and vertical servo motors. The shaft of this motor is connected to the mechanical circuit of the solar panel via a gearbox to carry out movement. A comparator will compare sunlight information and a reference voltage to control the rotation of the servo motor which can determine the time needed for the motor to rotate or stop. The research results on solar panels using a tracker were that the best voltage and current values were obtained between 12.00 – 13.00 WIB with an average voltage value of 11.45 V and an average current value of 0.49A.
Motion Control of 5-Degree of Freedom Humanoid Robot Arm System Using Fuzzy Logic Algorithm Ike Bayusari; Darma Sandi; Rahmawati Rahmawati; Suci Dwijayanti; Bhakti Yudho Suprapto
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4482

Abstract

Humanoid robots are the evidence of the rapid advancement of technology in robotics. One of their applications is replacing humans in certain tasks, such as moving goods. For this type of activity, humanoid robots need arms; however, their arm system is not effective enough because of the material used. Thus, this study proposes the use of filament as the material of frames in robot arms. A 5-degree of freedom (DoF) robot arm system was implemented, and the motor worked as the driving force. The movement of this robotic arm was based on proximity and camera sensor readings. Then, the movement control used fuzzy logic with the Sugeno method. During experimental testing, the humanoid robot arm could grip and move objects from one place to another at varying times according to the object type. The length of time obtained depends on the reading of the proximity sensor on the gripper. In another experiment, the humanoid robot arm could shake hands with humans in real time within 36 sec. In conclusion, the results verified the effectiveness of the proposed fuzzy logic controller with the Sugeno method.
Performance Evaluation of Overcurrent Relay and Ground Fault Relay Coordination in Distribution Feeder Azriyenni Azhari Zakri; Rezky Almi Ramadhan; Wahri Sunanda
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4487

Abstract

Reliable and sustainable electrical distribution systems require effective protection measures against internal and external disturbances, especially short-circuit disturbances, to avoid damage to the equipment. Overcurrent relays (OCR) and ground fault relays (GFR) play an important role in the safety of the distribution network. To improve performance, evaluation of relay coordination is essential. During the short circuit, the nearest relay to the fault point is activated first and the backup relay is activated if the fault current exceeds the adjustment of the main relay. Coordination ensures that timely signaling is sent to interrupt the circuit. Inspection of the OCR relay revealed that it did not comply with the IEC 60255 standard and consequently adjusted the classification time to 0.402 seconds. Similarly, the results of the GFR relay inspection did not meet the standards and required an adjustment of the evaluation time to 0.492 seconds. Resolving these deviations is crucial to maintaining the reliability and compliance of the distribution network with industry standards, ensuring that the protection relays respond quickly and effectively to disturbances, thereby preventing possible damage to equipment
Comparasion of HVAC Energy Consumption Prediction in an Academic Building using LSTM and DNN Hadi Christian; Koko Friansa; Justin Pradipta; Irsyad Nashirul Haq; Edi Leksono
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4488

Abstract

Energy consumption information is a collection of information obtained from datasets that is useful for making decisions for energy conservation. In this paper, we proposed a modern approach based on LSTM and DNN. While many researchers have employed these methods for predicting energy consumption, this paper seeks to compare their efficacy to determine which is superior. The comparative analysis in question employs accuracy metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared (R2) values. Furthermore, the accuracy metric outcomes indicate that the LSTM method surpasses the DNN approach in terms of the R-squared (R2) value, with respective scores of 0.931 and 0.782. Meanwhile, for other accuracy metrics, the DNN method outperforms LSTM. Nevertheless, the performance of the two proposed methods is excellent, as evidenced by the R-squared (R2) value exceeding 0.75, which aligns with modeling standards observed in numerous research studies.

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