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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
RANCANG BANGUN GENERATOR SINYAL FISIOLOGIS EMG JARI KELINGKING DAN EOG MATA BERBASIS ARDUINO NANO Rachmat, Hendi Handian; Firdaus, Muhammad M.; Hernawan, Allyfa N.; Septiani, Sindi
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.20762

Abstract

In this study, the design and implementation of a portable Arduino Nano-based physiological signal generator for pinky EMG and EOG eye movement (looking right and left) were carried out. The purpose of this study is to develop a device capable of storing and generating physiological signals, so that the device can serve as a substitute for test subjects. The physiological signal generator system was implemented by storing digital physiological signal data from test subjects in the internal memory of the Arduino Nano microcontroller, which also acts as the system's controller and processor. The signal conditioning system uses an MCP4725 module 12-bit resolution DAC, an LM358 OP-Amp as a non-inverting signal amplifier, a 20x4 LCD as the signal menu display, and a joystick module for selecting signal menus. The system was tested by comparing the signals generated by the signal generator with the physiological signal data recorded from test subjects (the data stored on the device). Based on the test results, the signal generated by the electronic device is visually ±100% identical to the recorded physiological signal data. The average amplitude difference is relatively small, with the smallest difference being 0.1 mV and the largest difference being 4.9 mV.
PENGARUH KONSENTRASI KMnO4 TERHADAP BIOLEKTRISITAS DOUBLE CHAMBER MICROBIAL FUEL CELL DENGAN SUBTRAT LIMBAH KULIT KAKAO Fitriana, Fitriana; Auliq, Muhammad A'an; Galuh, Senki Desta; Sutikno, Sutikno; Adytia, Daffa Gibran; Hasan, Moh. Ibnu
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.21397

Abstract

The increasing use of fossil fuels for electricity generation leads to scarcity and greenhouse gas emissions, necessitating a solution in the form of a transition to environmentally friendly renewable energy. One renewable energy source that is currently being developed is the Microbial Fuel Cell (MFC), which utilizes bacterial metabolism to generate electrical energy. MFC generally consists of two chambers: an anode chamber containing microorganisms and substrates, and a cathode chamber containing an electrolyte solution. The organic material used as a substrate in the anode chamber of the MFC in this study is cocoa pod husk waste, while the electrolyte solution in the cathode chamber is potassium permanganate (KMnO₄). This study will analyze the effect of KMnO₄ concentration on the bioelectricity of the cocoa pod husk MFC, including current, voltage, and power density. The KMnO₄ concentrations used are 0.02 M, 0.03 M, and 0.04 M. The bioelectricity testing results show that the KMnO₄ concentration in the cathode chamber affects the system's performance, with a 0.03 M concentration producing the highest current and power density.
Desain Sistem Infant Warmer Otomatis Menggunakan Pemanas Inframerah dan Blue Light sebagai Theraphy Bayi Gultom, Immanuel Roni; Azhari, Nasyan Habib; Gultoms, Togar Timoteus; Angin, Despaleri Perangin
Jurnal Media Elektro Vol 14 No 2 (2025): Oktober 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.22963

Abstract

Penelitian ini bertujuan untuk merancang dan membangun sebuah prototype Infant Warmer otomatis berbasis mikrokontroler Arduino UNO yang dilengkapi pemanas inframerah sebagai penghangat dan blue light sebagai terapi tambahan bagi bayi dengan risiko hiperbilirubinemia. Sistem ini dilengkapi sensor DS18B20 untuk memantau suhu bayi dan DHT11 untuk mengukur suhu serta kelembaban lingkungan, dengan output tampilan LCD dan sistem peringatan buzzer. Alat diuji menggunakan media kain lembab sebagai simulasi tubuh bayi, dengan jarak pemanas 60 cm dan pengujian dilakukan di ruang ber-AC bersuhu 24–26°C. Hasil menunjukkan alat mampu menaikkan suhu sampel dari 22°C ke 35°C dalam waktu ±217 menit, dengan kendali otomatis heater dan fungsi alarm berjalan sesuai logika sistem. Dengan fitur ganda dan harga terjangkau, alat ini berpotensi menjadi solusi alternatif penghangat bayi untuk keperluan edukatif dan pengembangan teknologi kesehatan sederhana
ANALISIS OPERASIONAL PEMBANGKIT LISTRIK TENAGA SURYA ATAP PADA GEREJA MASEHI INJILI DI TIMOR KAISAREA KOLHUA KUPANG Nahas, Reflianus H.; Likadja, Frans J.; Galla, Wellem F.
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

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Abstract

On-Grid Rooftop Solar Power Plant (PLTS) is interconnected with the PLN network and has a capacity of 25 kWp at GMIT Kaisarea BTN-Kolhua Kupang, which is expected to reduce significant operational costs. Therefore, this study aims to determine the performance ratio and the amount of energy potential contained in the Rooftop Solar Power Plant (PLTS) at GMIT Kaisarea BTN-Kolhua Kupang in order to optimize the use of renewable energy and reduce electricity operational costs. The research method used is a descriptive method and direct measurement on the inverter, MDP, and LVMDP to measure current and voltage to obtain the output power of the PLTS, PLN, and load. The results of the study indicate that the Rooftop Solar Power Plant (PLTS) system at GMIT Kaisarea BTN-Kolhua Kupang performed well, as evidenced by the efficiency of the Rooftop Solar Power Plant (PLTS), which obtained a maximum value of 85.60% on Monday of 85.60%. The measurement results show that there are savings in power and bills at GMIT Kaisarea BTN-Kolhua Kupang, with savings for 7 consecutive days of (Saturday 19.58 kWh, Sunday 76.84 kWh, Monday 9.45 kWh, Tuesday 24.05 kWh, Wednesday 22.46 kWh, Thursday 23.30 kWh, Friday 32.92 kWh).
ANALISIS EFEKTIVITAS SISTEM PROTEKSI BERBASIS TELEGRAM DALAM MENGATASI GANGGUAN TEGANGAN DAN ARUS LEBIH UNTUK MELINDUNGI PERALATAN LISTRIK TEGANGAN RENDAH Nursalim, Nursalim Nusa; Galla, Wellem F.; Syam, Sudirman
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

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Abstract

In the digitalization era, protecting electrical equipment in low voltage systems of 380/220 V is crucial to ensure operational reliability and safety. This study explores the effectiveness of a protection and monitoring system based on the Internet of Things (IoT), integrated with the Telegram application, for detecting disturbances such as overvoltage and overcurrent. The methodology employed is a quantitative experimental design, involving system testing with smart sensors and relays. The test results demonstrate that the system successfully provides real-time notifications to users within an average time of 2 seconds after a disturbance is detected. With this system, users can promptly be informed about voltage and current conditions that may potentially damage equipment, thereby allowing for swift actions to prevent damage. In addition to enhancing responsiveness, this system also facilitates remote management of electrical systems. The findings of this research emphasize the importance of implementing modern technology in electrical system protection, which can reduce the risk of damage and improve energy management efficiency.
ALAT BANTU SEPEDA TANGAN OTOMATIS PASIEN STROKE BERBASIS ARDUINO UNO Manalu, Harry Hendra; Angin, Despaler Perangin; Gultom, Togar Timoteus
Jurnal Media Elektro Vol 14 No 2 (2025): Oktober 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.22984

Abstract

Stroke merupakan salah satu penyebab utama disabilitas fisik yang mempengaruhi kemampuan motorik individu yang mengalaminya. Selama fase pemulihan, melakukan aktivitas fisik secara rutin sangat krusial untuk mengembalikan fungsi bagian tubuh yang terpengaruh. Akan tetapi, terapi manual membutuhkan perhatian yang intensif dari tenaga medis dan umumnya memerlukan biaya serta waktu yang cukup besar. Penelitian ini bertujuan untuk merancang dan mengembangkan alat bantu berupa sepeda tangan otomatis yang berbasis Arduino Uno yang dapat digunakan dengan efektif. Alat ini menggunakan mikrokontroler Arduino Uno sebagai pengendali utama, motor DC sebagai penggerak utama, driver motor L298N untuk meningkatkan arus, dan tombol tekan sebagai masukan kontrol. Sistem ini juga dilengkapi dengan layar LCD 16x2 yang berfungsi untuk menampilkan informasi status alat saat beroperasi. Metode yang digunakan dalam penelitian ini adalah penelitian dan pengembangan (R&D) yang mencakup tahap desain, pembuatan prototipe, serta pengujian fungsi. Hasil dari pengujian menunjukkan bahwa alat ini berfungsi dengan baik sesuai dengan masukan yang diberikan, motor DC mampu memutar pedal dengan kecepatan yang stabil, dan informasi dapat ditampilkan dengan jelas pada layar LCD. Dengan demikian, alat ini berpotensi menjadi solusi alternatif untuk terapi fisik yang dapat dilakukan secara mandiri dan berkelanjutan oleh penderita stroke.
IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE FOR EARLY DETECTION OF GENERATOR FAULTS IN POWER PLANTS Tuegeh, Maickel -
Jurnal Media Elektro Vol 14 No 2 (2025): Oktober 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.25649

Abstract

In addition to achieving optimal generator scheduling, ensuring the safe operation of the generator itself is equally important. This paper proposes the implementation of artificial intelligence for early detection of generator faults in power plants. A neural network (NN) approach is employed to construct the virtual simulation of the generator capability curve. The developed visualization model enables simulation of generator operating behavior while accounting for various operational constraints and component limitations. Furthermore, the visualization of the capability curve can effectively illustrate different potential operating scenarios that may occur in real-world generator operations. It also allows simulations under special or specific conditions, providing an accurate and flexible representation of generator performance
SMART TRAINING KIT BERBASIS INTERNET OF THINGS SEBAGAI ALAT MONITORING KEBUGARAN FISIK ATLET BOLA VOLI Syahputra, Renno Bagas; Zuhrie, Muhamad Syariffuddien; Rakhmawati, Lusia; Wiyono, Agus
Jurnal Media Elektro Vol 14 No 2 (2025): Oktober 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.24225

Abstract

The performance of volleyball athletes is greatly influenced by the speed and accuracy of their footwork in reaching the ball, especially during footwork training. This study aims to design a physical fitness monitoring device based on the Internet of Things (IoT) called STARK (Smart Training Kit) using the Neo M9N GNSS sensor and ESP32 microcontroller. Position coordinates, time, and speed data are collected in real-time at a sampling rate of up to 25 Hz, then stored on a MicroSD card in CSV format. The data is transmitted to the cloud via a gateway application for visualization through Google Sheets and Google Maps. Testing was conducted using a comparison method of speed and distance traveled, with the Haversine Formula as the benchmark. Test results show that higher sampling frequencies yield more detailed recorded data. The device demonstrates sufficiently stable accuracy during constant movement, though small errors increase as object speed increases. Thus, this tool can serve as an alternative for monitoring sports training and support a sports science approach through measurable and structured data.
ALAT BANTU SEPEDA KAKI OTOMATIS PASIEN STRUK BERBASIS ARDUINO UNO DENGAN TAMPILAN LCD Azhar, Muhammad; Damanik, Maikhel Samuel; Perangin-Angin, Despaleri
Jurnal Media Elektro Vol 14 No 2 (2025): Oktober 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.22960

Abstract

Stroke merupakan penyebab utama kecacatan di Indonesia, dengan angka prevalensi yang terus meningkat setiap tahunnya. Salah satu dampaknya adalah gangguan motorik pada kaki yang memerlukan terapi rehabilitasi intensif dan berkelanjutan. Sayangnya, alat bantu terapi yang tersedia saat ini seringkali membutuhkan pengawasan tenaga medis serta biaya tinggi. Penelitian ini bertujuan merancang dan mengembangkan alat bantu sepeda kaki otomatis berbasis mikrokontroler Arduino Uno yang memungkinkan pasien stroke melakukan terapi mandiri di rumah secara aman, terukur, dan terjangkau. Sistem ini menggunakan motor stepper sebagai penggerak utama pedal dengan kendali kecepatan yang dapat diatur melalui potensiometer, serta dilengkapi sensor optocoupler untuk mendeteksi jumlah putaran dan durasi latihan. Informasi ditampilkan secara real-time pada LCD 16x2, dan sistem dikontrol melalui tombol serta indikator LED. Hasil pengujian menunjukkan bahwa alat mampu beroperasi secara stabil, akurat, dan konsisten dalam mengeksekusi jumlah putaran sesuai input pengguna, dengan distribusi tegangan dan logika saklar yang bekerja optimal.Inovasi ini mendukung terapi mandiri pasien stroke secara efisien, hemat biaya, dan adaptif terhadap kebutuhan rehabilitasi.
RANCANG BANGUN BUCK BOOST CONVERTER PADA PHOTOVOLTAIC UNTUK POMPA AIR MOTOR DC KOLAM IKAN Muflikh, Naufal Farkhan; sulistyowati, riny
Jurnal Media Elektro Vol 14 No 2 (2025): Oktober 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.21040

Abstract

Solar energy plays an important role in reducing dependence on fossil fuels. However, fluctuations in sunlight intensity cause power variations in solar panels. This research aimed to develop a Buck-Boost Converter system to stabilize the voltage on solar panels that could support the operation of water pumps in fish ponds. This system used Arduino-based hardware and control. The researcher conducted research through literature studies, photovoltaic (PV) system design, Buck-Boost Converter circuit, device testing, and data analysis. The researcher used the main components, including 100 Wp solar panels, Buck-Boost Converter, Arduino Uno, INA219 sensor, and DC motor pump. The researcher tested the system for seven days to observe the stability of voltage and power under various lighting conditions. The test results showed that the Buck-Boost Converter could maintain voltage stability with an average power of 56.4 W or about 65.7% of the solar panel capacity. The system efficiently charged the 12V battery to power the water pump. This technology was suitable for environmentally friendly and energy-efficient, renewable energy-based aquaculture applications, with great potential to support the development of renewable energy systems in the aquaculture sector