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Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System
Published by Universitas Nusa Cendana
ISSN : 22526692     EISSN : 27154963     DOI : http://doi.org/10.35508/jme
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
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.
Arjuna Subject : -
Articles 213 Documents
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Sampul | Dewan Redaksi | Daftar Isi JME JME
Jurnal Media Elektro Vol 9 No 2 (2020): Oktober 2020
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.6397

Abstract

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Sampul | Dewan Redaksi | Daftar Isi JME JME
Jurnal Media Elektro Vol 10 No 1 (2021): April 2021
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.6399

Abstract

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Sampul | Dewan Redaksi | Daftar Isi JME JME
Jurnal Media Elektro Vol 10 No 2 (2021): Oktober 2021
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v10i2.6401

Abstract

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PENENTUAN LOKASI PENEMPATAN TCSC PADA SISTEM KELISITRIKAN SULAWESI SELATAN DAN BARAT MENGGUNAKAN INDEKS SENSITIVITAS Nur Vidya Ramadhani; Rini Nur Hasanah; Hadi Suyono
Jurnal Media Elektro Vol 11 No 1 (2022): April 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.5958

Abstract

The transmission line that functions to distribute energy from the generating center to the load center must function efficiently. However, the extensive network allows the line operation to be inefficient. This allows the occurrence of power losses and voltage drop in the system. Therefore, efforts are needed to effectively utilize the available power system capacity, one of which is by installing new devices such as TCSC (Thyristor Controlled Series Capacitor). The method used is the Sensitivity Index. Power flow analysis using PSAT (Power System Analysis Toolbox) program. Based on the data analysis that has been done, it was found that the most sensitive line is Pngkep70kV–Mndai. After the installation of the TCSC device on the sensitive line, there was a decrease in power losses and an increase in voltage stability in the system compared to before the installation of TCSC. Thus it can be concluded that the installation of TCSC provides a positive performance on the electricity system of South and West Sulawesi.
PENGARUH VARIASI PENAMBAHAN LAPISAN MAGNET DAN JARAK CELAH UDARA ROTOR TERHADAP KINERJA MOTOR DC MAGNET PERMANEN Sri Kurniati; Sudirman Syam
Jurnal Media Elektro Vol 11 No 1 (2022): April 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.6497

Abstract

A rectangular NdFeB permanent magnet DC motor design has been made and tested experimentally. The use of rectangular permanent magnet rotor teeth made in layers aims to increase the torque of the DC motor. Measurement and testing of DC motor force and torque using a spring balance. In addition, the adjustment of the air gap and the addition of a magnetic layer were carried out to determine the performance of a DC motor with varying rotation. This DC motor design has eight poles with 150 turns per coil and an arrangement of 1-4 layers of permanent magnets with an air gap of 1-4 mm. The results showed that the more layers of permanent magnets with a smaller rotor and stator magnetic air gap, the greater the torque. In measuring the motor's torque with four layers of permanent magnets for an air gap of 1 mm with a field voltage of 50 Volts, the electrical-torque is 0.6910 N-m, and the mechanical-torque is 0.027 N-m at a speed of 780 Rpm. Then at a voltage of 60 Volts with the same air gap distance, an electrical-torque of 0.085 N-m is obtained and a mechanical-torque of 0.0293 with a speed of 860 rpm
ANALISIS PENYAMBUNGAN PLTS OELPUAH 5 MWP KE SISTEM SALURAN UDARA TEGANGAN MENENGAH (SUTM) 20 KV PT. PLN UNIT LAYANAN KUPANG Frans Likadja; Wellem F. Galla; Dian Cornalia Kase
Jurnal Media Elektro Vol 11 No 1 (2022): April 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.6592

Abstract

This study aims to examine the impact of connecting PLTS Oelpuah with a capacity of 5 MW to SUTM 20 kV, in terms of the power flow and the magnitude of the change in voltage, generation composition, and electric power factor, when PLTS works in sunny, cloudy, and rainy weather conditions, and how the conditions system with and without the operation of PLTD LMVPP. From the results of the analysis obtained, the voltage profile at the point of connection of the Oelpuah PLTS to the Oesao feeder and the Undana Substation varies depending on weather conditions. When the weather is sunny, the voltage at the Undana substation and the Oesao feeder is stabel, but when the weather is cloudy and rainy, the distribution voltage at the Oesao feeder and the Undana feeder decreases. The composition of the generator's power supply has also changed due to weather conditions. When it is sunny PLTS supplies 3.2 MW, PLTD LMVPP supplies 12.6 MW, when it is cloudy PLTS supplies 915 kW, PLTD LMVPP supplies 15 MW and when it rains PLTS cannot supply power to the system, and PLTD LMVPP must increase its electrical power supply to 16 MW. When the PLTD LMVPP is separated from the system, any reduction in the power composition of the PLTS due to changing weather is transferred to the PLTU IPP. The electric power factor at the PLTS connection point, namely the Oesao feeder, is also influenced by changing weather conditions.
KLUSTERISASI PENYAKIT ENDEMIS PADA KECAMATAN SABU BARAT, KABUPATEN SABU RAIJUA MENGGUNAKAN ALGORITMA K-MEANS Wenefrida Tulit Ina; Yefta Mesakh; Stephanie I. Pella
Jurnal Media Elektro Vol 11 No 1 (2022): April 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v11i1.6508

Abstract

Information technology can be applied to identify endemic diseases in an area, in this case Sabu Raijua Regency. Endemic diseases can be identified early using the Clustering K-Means method where this method partitions data into one or more clusters/groups, so that data with the same characteristics are grouped into the same cluster and data with different characteristics are grouped into groups. another group. The data used in this study are medical record data at the Seba Health Center as many as 1020 data with year, village, diagnosis, age and gender variables. Due to the large amount of data, the K-Means Clustering process will use Weka 8.5 as a tool. The results of this study indicate the characteristics and patterns of endemic diseases in the service area of ​​the Seba Health Center with variables of year, village, diagnosis, age and gender, the characteristics used are based on the most optimal number of clusters. The most optimal number of clusters can be found using the Elbow Method. The results of clustering of 1020 medical record data showed that the most optimal number of clusters was 2 clusters with the characteristics of ARI diagnosis. Keywords:
IMPLEMENTASI ALGORITMA KOLONI SEMUT PADA TRAVELING SALESMAN PROBLEM MENGGUNAKAN MATLAB 7.8 Wenefrida Tulit Ina; Molina O. Odja
Jurnal Media Elektro Vol 11 No 1 (2022): April 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.6585

Abstract

Ant algorithm is a methodology, that is generated through the observation of theants. In Ant algorithm, ants serveas an agent assigned to find a solution to a problem the shortest route. Ant algorithm has been applied in many fields, one of which is to see a solution in the search for the shortest routeto theTraveling Salesman Problem (TSP). Research conducted Ant algorithm is to make an application to the determination of the shortest distanceas the coding matlab program in the selection of the shortest route in order to help determine the shortest distance from a trajectory. The test results showed Shortest Route Program applications using ant algorithm with alarge value of Alpha=1.0; Beta=1.0; Rho=0.5andT-Beginning =0:01with city coordinates[10 0; 300; 15,20; 25,20; 1030; 30,30] withthe number of iterations or 10cycles to obtain the path length of the shortest path length=1-3-5-6-4-2so that the shortest path is: 103.5917cm. Effects of changes in the variation of the experiment Rho. Rho smallest value obtained for a total of 10 cycles or iterations with the shortes tpath length is103.5917. At Rho: 12:50 with a large average value of 3 times the trial time calculation is: 3.815sec.
PROTOTYPE SISTEM KLASIFIKASI KELAS PASIEN PENYAKIT PERNAPASAN BERBASIS RASPBERRY PI DENGAN METODE DECISION TREE Widjonarko Widjonarko
Jurnal Media Elektro Vol 11 No 1 (2022): April 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.6777

Abstract

Everyone must have experienced something called illness. A disease in the human body can be caused by external factors such as pathogens or internal dysfunction. In a broader sense, a disease also includes injuries, disorders, disabilities, infections and syndromes. Among the various infections that exist in the human body, acute respiratory infections (ARI) are the most common diseases that affect all individuals regardless of age or gender, especially this virus that attacks the respiratory tract or respiratory diseases that virus spreads very quickly. . With this, the world health agency or known as the WHO (World Health Organization) has set several standards that can help deal with problems in the world. Therefore, we need equipment that helps check patients regularly and performs an early diagnosis so that when entering the patient's room, medical personnel have prepared themselves with some equipment that is by the patient's classification. This study will focus on the classification process in real-time on sensors installed in patients using machine learning decision trees as the classification method. Then, the classification results can be shown directly that the respiratory disease patients fall into a predetermined class.
PERBANDINGAN PENGKODEAN TEKS MENGGUNAKAN ALGORITMA HUFFMAN DAN ALGORITMA HUFFMAN WEAVEN HANKAMER PADA APLIKASI MATLAB Muhammad Abizar Rofi'udin; Beby H. A. Manafe; Amin A. Maggang
Jurnal Media Elektro Vol 11 No 2 (2022): Oktober 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.8105

Abstract

Huffman Algorithm and Huffman Weaven-Hankamer Algorithm are the two-source coding algorithms applied generally for text coding. Both algorithms consist of many stages to complete the coding processes. The more character to processes, the longer the time they consume. Therefore, this research aimed to create a user interface using MATLAB that can simulate the process of both algorithms and provide highly accurate results faster. There were two scenarios for the experiments. Both approaches were conducted eight times using the same number of characters, 15 to 22 thousand. ELSE characters were also contained in the information sources, but they are different in number compared to ordinary characters. The first experiment used more ELSE characters, whereas the second applied lesser ELSE characters than the ordinary ones. The results showed that the Huffman algorithm was more efficient in the first scenario than Huffman Weaven-Hankamer, which was a 2.24 percent average difference. Although the Huffman algorithm still performed better in the second experiment, the difference in average efficiency was smaller, 1.48 percent, compared to the first approach. In addition, the results also showed that the Huffman weaves Hankamer Tree was simpler than the Huffman tree.

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