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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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Implementation of Natural Language Processing for Bullying Complaints with Voice to Text Conversion Miftahul Ilmi; Miftahul Ilmi; Dasril Aldo; Sapta Eka Putra; Adanti Wido Paramadini; Yohani Setiya Rafika Nur
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4506

Abstract

Bullying in high school is frequent and negatively affects students' psychological well-being. The lack of effective reporting mechanisms makes students hesitant to report bullying cases for fear of their identity being exposed, which can lead to stigma or retaliation. The lack of data on bullying incidents also hampers prevention and intervention measures. The study designed and implemented a mobile application that uses natural language processing (NLP) for speech-to-text conversion, enabling anonymous and convenient reporting of bullying cases. The app ensures the anonymity of whistleblowers and facilitates the collection of accurate data on bullying incidents, helping schools respond with appropriate preventive measures. Software engineering methodologies are used with a focus on requirements analysis, system design, implementation, and application testing. NLP technology is used to interpret verbal instructions into text, with the Support Vector Machine (SVM) method for text classification, ensuring high accuracy in detecting bullying incidents. The trial application in several high schools showed the relevance and effectiveness of the application. Ethical and security considerations are top priorities, with an emphasis on whistleblower identity protection and data security. The test results showed that the application achieved 92% accuracy, 90% precision, and 88% recall, demonstrating its effectiveness in collecting bullying reports anonymously and accurately.
Design of A Rectangular Patch Microstrip Array Antenna with Proximity Coupled On ADS-B Receiver Muhammad Fauzi Manalu; Muh. Wildan; M. Faisal Yoga Dewantara; Priyo Wibowo
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4507

Abstract

One of the observation facilities available in Indonesia was Automatic Dependent Surveillance-Broadcast (ADS-B), a surveillance technology similar to Radio Detection and Ranging for monitoring air traffic. This system only received information transmissions from aircraft, broadcast on a frequency of 1090 MHz using a monopole antenna with large dimensions, ranging from 85 centimeters to 3,5 meters, and weighing between 1,5 kilograms to 26 kilograms. As an alternative, a microstrip antenna was chosen to reduce the large size and weight of the monopole antenna. This research aimed to design a 2x1 rectangular patch microstrip array antenna with a proximity coupled feeding method at a frequency of 1090 MHz. The antenna was designed using Antenna Design Software and fabricated using Epoxy substrate material with a copper ground plane. The simulation results showed a Return Loss of -28,87 decibels, VSWR 1,07, Bandwidth 28,87 MHz, Impedance 52,4 Ω, and Gain 8,49 decibels. The measurement results showed a Return Loss of -30,87 decibels, VSWR 1,07, Bandwidth 28 MHz, Impedance 48,91 Ω, and Gain 6,4 decibels. The test results demonstrated that the antenna successfully received signals from 32 aircraft, with the longest reception distance reaching 172,5 Nautical Miles (319.4 kilometer) at a maximum altitude of 36,950 feet.
Implementation of Natural Language Processing in the Reporting and Handling System of Sexual Violence Cases on Campus Ilwan Syafrinal; Sapta Eka Putra; Mahazam Afrad
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4511

Abstract

Sexual violence in the campus environment is a serious problem that requires an effective reporting and handling system. This research aims to develop a Natural Language Processing (NLP)-based system that can improve the process of reporting and handling cases of sexual violence on campus. The methodology used includes the application of NLP techniques such as sentiment analysis and entity recognition to automate the identification and handling of reports. The Support Vector Machines (SVM) algorithm is used for the classification of text in this system. The data is collected from various sources, pre-processed, and used to train NLP models. The results of the study show that the system developed has an accuracy level of 91%, precision of 93%, and recall of 87%, which illustrates its effectiveness in collecting reports of sexual violence anonymously and accurately. Feedback from early adopters shows that the system improves the efficiency and accuracy of the reporting process. The conclusion of this study is that the implementation of NLP can significantly improve the reporting and handling system of sexual violence on campus. Further research is suggested to expand the scope of the system and improve its analysis capabilities.
Application of K-Nearest Neighbor Algorithm for Consumer Behaviour Identification and Product Personalisation Based on Big Data Analysis Miftahul Ilmi; Sapta Eka Putra; Miftahul Ilmi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4514

Abstract

The rapid digital transformation has fundamentally altered the retail industry, presenting challenges such as shifting consumer behavior and intensified market competition. This research explores the application of the K-Nearest Neighbor (KNN) algorithm for identifying consumer behavior and developing product personalization systems based on big data insights. Utilizing a dataset comprising 10,000 transaction records from January to December 2023 and 5,302 product types, we implemented the KNN algorithm to predict consumer purchases. The data was processed into 89,908 distinct transaction records. Our evaluation, using 5-fold cross-validation, demonstrated that the optimal performance of the KNN model was achieved with ????=10, yielding a precision of 0.8319, recall of 0.8311, and an F1-score of 0.8312. These findings highlight the effectiveness of KNN in enhancing consumer satisfaction through precise product recommendations. This study provides strategic insights for modern retailers aiming to leverage AI and big data to remain competitive and meet evolving consumer expectations.
The Characterization of A Thermoelectric Generator Type TEC1-12706 Hybridized On 50W Polycrystalline PV Iskandar Iskandar; Arif Rahman Hakim; Mustofa Mustofa; Rustan Hatib; Yuli Asmi Rahman; Zuryati Djafar; Wahyu Haryadi Piarah
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4522

Abstract

The potential of solar energy is very large in generating electrical energy conversion using TEG and PV technology. Therefore, it is important to understand how the technology works. This study aims to characterize the electrical generation of 12 TEG modules type TEC1-12706 hybridized with 2 PV panels. One PV panel is left without a TEG module as a comparison. Meanwhile, on the cold side of the TEG attached to the PV, a heatsink with 3 fins is placed. The left and right fins are air allowed to flow naturally, while the middle fin is flowed with cold water fluid through a 0.01 m diameter water hose with 2 flow rates; 0.02 and 0.05 m / s. The results of the study showed that the fluid flow rate of 0.02 presented a better TEG performance effect than 0.05 m / s at an irradiance of 450 W/m2. Different things are shown by PV solar panels, where the power generation and efficiency are better in TEG at a flow rate of 0.05 m/s compared to 0.02 m/s for the same irradiance. Overall, the performance of PV-TEG is better at a TEG cooling fluid flow rate of 0.05 m/s.
Enhanced Depth Control and Stability in Submersible Pylon Inspection Robots Using IMU-Based Extended Kalman Filter and PID Control Hendi Purnata; Riyani Prima Dewi; Saepul Rahmat; Erna Alimudin; Novita Asma Alahi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4523

Abstract

The research developed a Submersible Pylon Inspection Robot (SPIR) to clean and inspect underwater structures automatically, facing challenges in stability and depth of operation. Integrating the Inertial Measurement Unit (IMU) with the Extended Kalman Filter (EKF), as well as implementing customized PID controls, aims to improve the accuracy and stability of SPIR in dynamic underwater environments. The results show that the SPIR control system can follow the reference depth at shallow depths well, but has difficulty maintaining stability at deeper depths. The position error graph on the Z-axis shows the initial fluctuation that decreases over time, reflecting the increased calibration. The use of drive motors also shows different working patterns, with some motors active in depth settings and others for stabilization. This study shows that the integration approach of IMU, EKF, and PID control can improve SPIR performance, although further adjustments are required to meet the extreme challenges in underwater environments.
Control of Multi-Robot Arms in Object Retrieval Based on Human-Machine Interface Rendyansyah Rendyansyah; Hera Hikmarika; Melia Sari; M. Al Furqon Syaidin Fikri; Ichlasul Akmali Rizky
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4528

Abstract

Multi-robot arm control is the result of the development of advanced robotics technology. With the advancement in the field of human-machine interface, controlling robot arms has become more efficient and can be done intuitively by humans. In this study, we designed three robot arms of 4-DoF, each of which is controlled by a computer in a visual program interface. This research aims to develop a human-machine interface-based multi-robot arm control system that allows humans to interact with the robots directly. The movement method of each robot uses Trajectory Planning, which works when the operator gives motion commands through the interface display. Multi-robot communication with a computer using USB hub serial format. The computer is the master, and each Arduino on the robot is the enslaved. Three robot arms have been tested and controlled by the HMI computer, and all of them move according to the commands of the operator. The time required by each robot to complete its mission is ± 10 seconds. The results of this study are expected to open new opportunities in the application of robotics in various fields, such as the manufacturing industry, health services, and transportation.
Implementation of Fuzzy Logic for Early Warning System for Flood Disaster in Cilacap District Alimudin, Erna; Sumardiono, Arif; Zaenurohman, Zaenurohman
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 12 No 1 (2025): Jurnal Ecotipe, April 2025
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v12i1.4529

Abstract

Indonesia's tropical climate and high rainfall frequently lead to unnoticed river overflows, causing significant health and economic losses. A Flood Early Warning System (EWS) using LoRa communication and an Arduino Mega2560 microcontroller was developed, incorporating ultrasonic, DHT11, rain gauge, and anemometer sensors to measure water level, temperature, humidity, rainfall, and wind speed. Unlike previous systems, it applies fuzzy logic for improved accuracy by considering rainfall and wind speed. Sensor errors ranged from 2.14% to 3.19%, with data transmission to ThingSpeak taking 11 seconds (99.94% accuracy) and to a website averaging 15.03 seconds. Fuzzy logic enhanced the system's warning accuracy.
User Capacity Optimization Using The Mobility Load Balancing Algorithm For Downlink Data Long Term Evolution Miranti, Miranti; Sari, Lydia; Doris, Muhamad; Alam, Syah; Surjati, Indra
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 12 No 1 (2025): Jurnal Ecotipe, April 2025
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v12i1.4532

Abstract

The increasing number of users in a Long Term Evolution (LTE) network often decreases network performance. A cell that has high traffic experiences a decline in network performance due to unavailable resources for certain users, while in cells with low traffic, the use of resources in these cells is inefficient. The mobility load balancing (MLB) algorithm balances the intercellular loads in an LTE network and improves the performance by distributing part of the load in a high traffic cell to neighboring cells that have low loads. An activated MLB will detect the network load and calculate the available resource for each cell to determine which cells are overloaded. The MLB will consider the candidate cell where the load could be distributed. MLB simulation results show that the application of MLB has succeeded in reducing the percentage of unsatisfied users by 9.4% and increasing throughput system to 5.617 Mbps.
Review on Innovative DC-DC Converter Design for High Efficiency and High Voltage Gain Applications Putra, Andi Muhammad Nur; Adrianti, Adrianti; Hamid, Muhammad Imran
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 12 No 1 (2025): Jurnal Ecotipe, April 2025
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v12i1.4533

Abstract

This paper reviewed the advancements in DC-DC converter technologies, emphasizing their role in addressing the demands of high efficiency and high voltage gain in renewable energy systems, electric vehicles (EVs), and distributed energy networks. Advanced topologies, including hybrid, quadratic, triple-boost, coupled inductor, and voltage multiplier designs, were evaluated for their ability to overcome the limitations of traditional converters. Key findings highlighted significant improvements in energy efficiency, exceeding 95%, and a substantial reduction in voltage ripple. Performance metrics such as scalability, thermal management, and component stress were analized, demonstrating the suitability of these designs for diverse applications. Comparative analyses illustrate the superiority of innovative designs in meeting the energy needs of emerging technologies. Applications in renewable energy, EV infrastructure, and distributed networks underscore the transformative potential of these converters in optimizing power delivery and enhancing system reliability. This review bridged the gap between theoretical advancements and practical implementations, showcasing the pivotal contribution of DC-DC converter to modern energy systems.

Page 19 of 20 | Total Record : 199

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