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Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System
ISSN : 22526692     EISSN : 27154963     DOI : http://doi.org/10.35508/jme
Jurnal Media Elektro adalah merupakan jurnal ilmiah yang menyajikan artikel yang bersifat original tentang pengetahuan dan informasi riset ataupun aplikasi riset dan pengembangannya. Jurnal ini merupakan sarana publikasi dan karya riset beserta pengembangannya di bidang teknologi. Untuk penulis yang berminat untuk Pemuatan artikel di jurnal ini, maka dapat dialamatkan ke email:media.elektro.undana@gmail.com. Artikel yang masuk akan diseleksi oleh editor. Jurnal ini terbit secara berkala sebanyak dua kali dalam setahun.
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Articles 213 Documents
PERANCANGAN SISTEM PENGISI TOKEN LISTRIK BERUMPAN BALIK PADA kWh METER PRABAYAR BERBASIS ARDUINO Nursalim, Nursalim; Galla, Wellem F.; Syam, Sudirman; Kurniati, Sri; Rondak, Valentino A.E
Jurnal Media Elektro Vol 12 No 2 (2023): Oktober 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v12i2.12694

Abstract

Kilo Watt Hour Meter or kWh meter is a tool for calculating the amount of electrical energy used by electricity consumers, both residential and industrial customers. The electrical energy used is then converted into the electricity price that must be paid each month. Currently, most kWh meters in circulation are smart kWh, which use electricity tokens as transaction calculations. Customers must fill in 20 token numbers via the kWh meter keypad to fill in electricity tokens. Filling in this 20-digit token is not easy, this is because usually, this type of kWh is placed in a higher place to avoid the reach of children. This placement sometimes causes problems with replenishing the token, and users must start over from the beginning. This research aims to create a tool to fill in electricity token numbers that can be controlled using an Android application, making it easier for users to fill in electricity tokens remotely via smartphone. Apart from that, this system has feedback in the form of notifications that display numbers that failed to be filled in on the kWh meter. Test results show that this system can function well from 10 meters without obstructions and 9 meters without obstructions.
ANALISIS PENYEBARAN KASUS COVID-19 MENGGUNAKAN GRAPH SIGNAL PROCESSING: STUDY KASUS DI KOTA KUPANG, INDONESIA Maggang, Amin Ajaib; Manu, Sarlince O.; Manafe, Beby H. A.; Bowakh, Johanis F. M.
Jurnal Media Elektro Vol 12 No 2 (2023): Oktober 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v12i2.12763

Abstract

To provide information on the spread of Covid-19 cases, the Kupang City government, East Nusa Tenggara province, has created a map of the spreading pattern of Covid-19 cases on the website of Kupang City. However, similar to most maps, it only provides information on the number of daily cases. Information such as a high-risk sub district or an outbreak sub-district has yet to be recorded on the web page. Therefore, this research aimed to analyse the spread of Covid-19 cases to obtain more critical information about its contagious pattern. This research used the Graph Signal Processing (GSP) techniques to analyse the spread of covid-19 cases with respect to the underlying graph structure of 51 sub-districts in Kupang City. Unlike other data analysis methods, GSP can process data by considering the relationship between objects, such as the distance between sub-districts. The data used in this research was the number of Covid-19 cases recorded in the sixth of March 2021. The results showed that GSP can capture the contagious pattern of Covid-19 cases in Kupang City by identifying sub-districts at risk of experiencing a spike in cases, such as the Nunleu sub-district, and the Airnona sub-district as the sources of outbreaks
RANCANG BANGUN OPTIMALISASI PANEL SURYA DUAL AXIS DENGAN MENGGUNAKAN SENSOR INTENSITAS CAHAYA Sulistyowati, Riny; Sujono, Hari Agus; Munir, Misbahul
Jurnal Media Elektro Vol 13 No 1 (2024): April 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i1.13591

Abstract

The results from the solar power generation system depend on the input and duration of eh sunlight entering the solar panel. However, problems will come when the sun changes every day from east to west and the weather changes frequently. They will result in the power generated by static solar panels not being optimal. This research collected data in East Kalisari Village, Surabaya, because this location has good potential for solar energy according to BMKG data from November 2022, which was the peak of the rainy season. The data showed the average solar radiation from 06.00 to 18.00 for 6 hours. For this reason, the researcher designed a dynamic solar panel that could follow the movement of the sun. A solar power plant optimization system is needed to maximize the acquisition of solar energy and increase the power generated by solar panels. The design of optimizing dual-axis solar panels using light intensity sensors could solve some problems of static solar panels, which could not follow the movement of sunlight. As a result, the power generated by solar panels could be optimized, and the potential of solar energy in East Kalisari Village, Surabaya, could be optimally used.
A NEW METHOD OF TORQUE RIPPLE MEASUREMENT FOR MAGNETIC GEARS Syam, Sudirman; Kurniati, Sri; Nursalim, Nursalim; Galla, Wellem F.
Jurnal Media Elektro Vol 13 No 1 (2024): April 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i1.15120

Abstract

Torque ripple analysis and calculation methods in an axial-type Magnetic Gear (MG) design with four rectangular NdFeB magnetic layers have been reviewed and discussed. Smooth and steadily transmitted torque is an essential characteristic of a magnetic gear. Reducing possible mechanical vibration, position inaccuracy, and acoustic noise is necessary. Therefore, this study aims to design a new engineering method appropriate for calculating the torque ripple of the MG transmission by testing its mechanical and electrical properties. Two simultaneous torque tests compare the MG brakes from zero to full load. In addition, the transmission torque of the axial MG is measured and calculated using technical methods. The results showed that differences in dynamic torque occurred in the MG at various air gap distances.
FAST IMAGE RETRIEVAL BERBASIS LOCALITY SENSITIVE HASHING DAN CONVOLUTIONAL NEURAL NETWORK Tena, Silvester; Dwiandiyanta, Bernadectus Yudi; Ina, Wenefrida Tulit
Jurnal Media Elektro Vol 13 No 1 (2024): April 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i1.15137

Abstract

Image retrieval systems with a fast search process are still challenging for researchers. Fast search methods are one of the most important parts of image retrieval. One of the techniques used is reducing feature dimensions using the Locality Sensitivity Hashing (LSH) method. Apart from that, feature types and image extraction methods are selected. Image feature extraction uses the Convolutional Neural Network (CNN) method in this research. Measuring similarity using the Hamming Distance (HD) and Euclidean Distance (ED) methods. The datasets used are TenunIkatNet and Batik300. The LSH method forms a hash table as a bucket to group similar images based on probability and in the form of binary code. The research results show that the LSH+HD+ED method provides faster search results than ED. The image retrieval time for the LSH+HD+ED and ED methods is 0.252 seconds and 4.5 seconds, respectively, for the TenunIkatNet dataset. Meanwhile, the Batik300 dataset is 0.03 seconds and 0.9 seconds. Using the LSH method is very effective for large datasets. Retrieval accuracy using the LSH+HD+ED method was 99.705% and 84% for the TenunIkatNet and Batik300 datasets, respectively. Meanwhile, the ED method produces 94.17% and 82% retrieval accuracy, respectively.
FREQUENCY STABILITY ANALYSIS USING TIME DOMAIN SIMULATION METHOD (CASE STUDY OF TIMOR SYSTEM) Seran, Dionisius Alfonso; Mauboy, Evtaleny R; Nursalim, Nursalim
Jurnal Media Elektro Vol 13 No 1 (2024): April 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i1.15141

Abstract

Based on the 2021-2030 RUPTL, the addition of PLTU Timor 1 (2 × 50 MW) to the Timor system is carried out because electricity demand continues to increase. Therefore, a transient stability study is needed, to determine the reliability of the system when a disturbance occurs. By utilizing the Time Domain Simulation (TDS) method, the research was conducted by simulating generator outage and 3 phase short circuit to study the frequency stability of the Timor system. From the simulation results, generator outage has a major influence on system frequency stability, especially simulated at PLTU Timor 1 unit 1. The disturbance caused a decrease in the lowest frequency reaching 49.61 Hz so that it was not within the safe operating limits according to the operating guidelines for the Timor electricity system. For this reason, Manual Load Shedding (MLS) and the addition of generators at PLTD Cogindo and PLTMG Kupang Peaker are required. The action is carried out by paying attention to the rate of change of the next frequency. As for the 3 phase short circuit disturbance on one of the Bolok - Maulafa lines, the frequency increased to 50.06 Hz after the disturbance which is still within safe operating limits.
ANALYSIS OF FORECAST OF RENEWABLE ENERGY DEVELOPMENT IN NORTH SUMATRA USING ANFIS Nugraha, Yoga Tri; Simanjuntak, Puan Maharani; Irwanto, Muhammad; Rida, Rizkha; Othman, M.A.
Jurnal Media Elektro Vol 13 No 1 (2024): April 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i1.15310

Abstract

The transition towards renewable energy sources is critical for sustainable development, particularly in regions like North Sumatra, Indonesia, where energy demand is increasing rapidly. This research presents an analysis of the forecast of renewable energy development in North Sumatra using the ANFIS. The analysis begins with data collection and preprocessing, incorporating historical data on energy consumption, renewable energy installations, population growth, economic indicators, and environmental factors. ANFIS models are then developed and optimized to capture the complex relationships between these variables and forecast renewable energy trends accurately. Model validation and performance evaluation techniques ensure the reliability of the forecasted outcomes. The results of the calculations conducted using the ANFIS method obtained an error value of 0,000201092% and has a Forecast of Renewable Energy Development in North Sumatra in 2028 of 160.44 MW.
PENGENALAN APLIKASI OBYEK WISATA TELAGA NGEBEL BERBASIS VIRTUAL REALITY DAN ALGORTIMA GREEDY Bhanu Setyawan, Mohammad; Permana Putra, Angga Dian; Sussolaikah, Kelik; Zulkarnain, Ismail Abdurrozaq; Cobantoro, Adi Fajaryanto
Jurnal Media Elektro Vol 13 No 1 (2024): April 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i1.15364

Abstract

Ngebel Lake in Ponorogo Regency is a tourist destination that is usually visited by many local or non-local tourists. There is great potential to be developed again to introduce this tourist attraction to outside the region in order to attract tourists. Telaga Ngebel requires the main role of promotion and publication out, so it is very necessary for a technology that is able to realize the equal introduction of Telaga Ngebel attractions and is able to describe tourist objects in real terms. The solution is to utilize Virtual Reality technology that can package the potential of tourist attractions in an attractive, attractive and contemporary manner. The technology displays Telaga Ngebel attractions in 3600 with a 3-dimensional object model and the nearest wahan search feature using the Greedy Algorithm with a virtual reality display. In its preparation using SDLC (Software Development Life Cycle). The final result of making this application in the form of Virtual Reality Telaga Ngebel and also games using the greedy algorithm used as an implementation of games that present the charm of Telaga Ngebel. Based on the results of usability test research with the SUS method obtained a score of 51 or in adjective OK criteria.
PENGGUNAAN MIKROKONTROLER UNTUK MENDETEKSI ERROR COUNTING DAN DISTURB PADA AXLE COUNTER ALTPRO Rahmawati, Dea Pradita; Puspitasari, Mariana Diah; Arifianto, Teguh
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.17937

Abstract

Axle counter is an important component in controlling train traffic. So far, error counting and disturb disturbances can only be seen in the Equipment Room and require different handling. This study develops a tool that provides fast notification of the type of disturbance on the track to the Negative Check Officer (PNC) smartphone. This tool uses an atmega 2560, ESP8266 Wemos D1 Mini Pro, PC817 optocoupler, Light Dependent Resistor sensor, and an application created in Android studio. This study uses the Research & Development Method to produce and test the effectiveness of the product. After being tested 55 times, this tool was able to send disturbance notifications with 91% success. The average internet speed in the Equipment Room is 11.2 Mbps and on smartphones 10.10 Mbps. The average notification delivery time is 2.097 seconds. This system is expected to make it easier for PNC to handle disturbances on the track.. Keywords: Axle counter, Disturb, Error counting, Notification.
IMPLEMENTASI DECISION TREE PADA SARUNG TANGAN PINTAR PENERJEMAH SISTEM ISYARAT BAHASA INDONESIA GUNA MEMBANTU KOMUNIKASI PENYANDANG DISABILITAS TUNARUNGU Rasidy, Ahmad Himawari; Zaeni, Ilham Ari Elbaith
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.18322

Abstract

This research implements the Decision Tree algorithm in a Smart Glove to classify hand signals representing numbers 1 to 5 in the Indonesian Sign Language System (SIBI). The system utilizes flex and gyro sensors to capture hand movements, which are then processed and classified using the Decision Tree algorithm. Training data was collected from multiple trials, resulting in an accuracy of 79% across 50 trials. The model's performance evaluation yielded precision, recall, and F1-score values ranging between 80% and 90% for each number class. The best performance was achieved with number 1, reaching 90% in precision, recall, and F1-score. However, areas for improvement were identified in precision and recall for numbers 2 and 4. Although the results are adequate, this study highlights the need for further development in enhancing model accuracy, particularly by increasing training data and refining the algorithm. The Smart Glove is expected to aid communication for individuals with hearing disabilities and holds potential for future expansion to recognize more complex gestures.