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Editor in Chief: Prof. Dr. Lie Jasa (UNUD) (Scopus ID: 55243413600) Advisory Editor: Prof. I. A. Giriantari, Ph.D.(UNUD-INDONESIA) (Scopus ID : 6507145301) Prof. Soumia Ziti (UM5 - MOROCCO) (Scopus ID: 55999104600) Prof. Linawati, Ph.D.(UNUD-INDONESIA) (Scopus ID: 52763653600) Dr. Saad El Jaouhari (ISEP-FRANCE) (Scoopus ID:57193866922) Dr. Kamal Singh (TELECOM ST-ETIENNE-FRANCE) (Scopus ID: 55450545400) Dr. Ingrid Nurtanio (UNHAS-INDONESIA) (Scopus ID: 55746722900) Dr. Made Ginarsa (UNRAM-INDONESIA) (Scopus ID: 35795378400) Prof. Dr. Iwan setiawan (UNDIP-INDONESIA) (Scopus ID : 56711777600) Yoga Divayana, Ph.D.(UNUD-INDONESIA) (Scopus ID: 8979718500)
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INDONESIA
Majalah Ilmiah Teknologi Elektro
Published by Universitas Udayana
ISSN : 16932951     EISSN : 25032372     DOI : https://doi.org/10.24843/MITE
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy
Majalah Ilmiah Teknologi Elektro (MITE) is peer review journal, published twice a year by the Study Program of Magister Electrical Engineering, Faculty of Engineering, Universitas Udayana. This journal discusses the scientific works containing results of research in the field of electrical, include power systems, telecommunications, informatics, and electronics. Authors are expected to include original scientific papers in accordance with the scope of the discussion of this journal including all aspects of the theory and practice are used.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 31 Documents
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Rancang Bangun PLTS Off-grid Untuk Catu Daya Lampu Penerangan Kebun Buah Naga Desa Yosomulyo Aldy Allan Ghozali; Lie Jasa; I Nyoman Satya Kumara
Majalah Ilmiah Teknologi Elektro Vol 24 No 2 (2025): ( Juli - Desember ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.205.v24i02.P2

Abstract

The sunlight intensity level requirement for dragon fruit plants is more than 90%, which is essential for the photosynthesis process and the morphological development of the plant. This plant is classified as long-day plant, meaning that it requires at least 12 hours or more of sunlight to reproduce. Dragon fruit farmers utilize artificial lighting as an alternative to sunlight to support the plant's biological processes at night. The energy source is conventional electricity from grid (PLN). The design of an off-grid PV system at the Yosomulyo dragon fruit farm is carried out to support the farm's daily electricity needs. The design begins with field observations to obtain geographic data of the farm, daily electrical load profile data with amperes, calculating the PV system capacity, determining PV system components, and testing the performance of the design with PVSyst simulation. The simulation results of the PLTS design are 70.9% with an inverter variation of 6500 W, solar modules of 550 Wp, batteries of 200 Ah 12 V at a system voltage of 48 VDC, and an autonomy day of 1.
Three Phase Sinusoide Output Voltage of Multi Carrier for Nine Level Cascade H-Bridge Inverter with DC Fuel Cell setiyono setiyono
Majalah Ilmiah Teknologi Elektro Vol 24 No 2 (2025): ( Juli - Desember ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.205.v24i02.P1

Abstract

This paper discusses a cascade inverter 9 three-phase power system using a Cascade H Bridge inverter type with a DC Fuel Cell voltage source. The goal is to reduce the Total Harmonic Distrotion (THD) content in the output waveform in accordance with IEEE 519 standards below 5%. At each level the inverter is supplied by the fuel cell as a DC source and in series with the next level inverter circuit to get 9 output voltage levels. The switch performance of each level is controlled by PWM pulses at the level of different amplitudes but the same frequency. Unlike conventional approaches that rely solely on low-level inverters or fixed DC sources, this study proposes the implementation of a nine-level cascade H-Bridge inverter topology powered by a DC fuel cell with three-phase multi-carrier modulation technique to produce high-quality sinusoidal voltage. This system shows increased efficiency, harmonic reduction, and more optimal utilization of green energy. Simulation results show that the output voltage form of each phase inverter is a 9-level ladder wave with a THD of 13.67%. By installing a low pass filter, the output voltage waveform changes to sinusoidal with and THD can be reduced to 2.92%. The power system with this THD value can still be tolerated to occur in an electric power system 
Solusi Efisiensi Pertanian: Rancang Bangun Perangkat Otonom, Detektor Mutu, dan Pisau Ganda Berbasis IoT Bagi Traktor Roda Dua Konvensional Gabriella Sunsugos Sianturi; Lie Jasa
Majalah Ilmiah Teknologi Elektro Vol 24 No 2 (2025): ( Juli - Desember ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.205.v24i02.P5

Abstract

The issue of limited human resources in the agricultural sector, particularly in terms of labor availability, has led to increased operational costs and decreased harvesting efficiency. On the other hand, existing IoT-based tractors are generally large-scale and expensive, making them inaccessible to smallholder farmers. To address this challenge, this study proposes the development of a modular attachment for conventional two-wheeled tractors. The device is designed to be efficient, affordable, and capable of minimizing dependence on human labor without requiring the replacement of the main tractor unit. The proposed solution includes a dual blade system (for both tilling and harvesting), a harvest quality detection system, and IoT-based autonomous navigation. All components are integrated into a single functional module that can be attached to existing two-wheeled tractors owned by farmers. This approach eliminates the need to purchase a new tractor, as the innovation enhances the functionality of equipment already in use. Additional advantages include the installation of a mechanical counterweight to stabilize the tractor during operation and the integration of quality detection capabilities, which improve efficiency by enabling simultaneous harvesting and quality monitoring. This study demonstrates that transforming conventional tractors into semi-autonomous systems can significantly enhance labor efficiency, harvesting precision, and reduce operational costs. The innovation offers a sustainable approach to agricultural modernization through the integration of modular technology and IoT, tailored for small to medium-scale farming.
RANCANG BANGUN SISTEM MONITORING KECEPATAN PADA KAPAL TRIMARAN MENGGUNAKAN PIXHAWK Mochammad Zaqi Arif; Edi Kurniawan; Shofa Dai Robbi
Majalah Ilmiah Teknologi Elektro Vol 24 No 2 (2025): ( Juli - Desember ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.205.v24i02.P3

Abstract

Indonesia as a maritime nation with vast and strategic oceanic territory, continues to develop efficient and innovative ship technologies. This research focuses on the design and construction of a speed monitoring system for a trimaran vessel using the Pixhawk controller. The system integrates a Pixhawk autopilot unit as the main controller, an STM32 microcontroller for processing, dual BLDC motors, an internal combustion engine (ICE), and a remote control system. The Internet of Things (IoT) platform is employed for real-time data logging and monitoring. Experimental tests were conducted on five reference speed levels slow patrol, reconnaissance, medium patrol, cruising, and chase modes. Quantitative results show that the system achieved rapid response times at medium speeds, with stable operation and an average delay below 0.5 seconds. At high speeds, however, stability decreased by 15–20% due to environmental and load variations. Remote control communication maintained stable performance up to 210 meters with obstructions and 280 meters without obstacles. The results demonstrate that the system effectively supports real-time speed monitoring for trimaran vessels. The novelty of this study lies in the integration of hybrid propulsion and adaptive control within an IoT-based Pixhawk monitoring system, contributing to advancements in smart maritime technology.
Efektivitas Aplikasi Blynk Dalam Monitoring Perpindahan Suplai Daya dan Logging Tegangan Berbasis IoT Pada Sistem ATS-AMF Defa Maulana Adam Hasibuan; I Gede Dyana Arjana; I Made Suartika; Anak Agung Gede Maharta Pemayun Arjana
Majalah Ilmiah Teknologi Elektro Vol 24 No 2 (2025): ( Juli - Desember ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.205.v24i02.P4

Abstract

Reliability of electricity supply is crucial for ensuring the continuity of company operations, particularly for server systems. This research designed a prototype IoT-based Automatic Transfer Switch (ATS) and Automatic Main Failure (AMF) system integrated with the Blynk application. The goal was to test whether the Blynk application could monitor power supply switching and automatically store voltage data using the Blynk Cloud Data Logger. This system was developed using a WeMos D1 R32 microcontroller and a PZEM-004T sensor to measure voltage and current from two sources: the state electricity company (PLN) and a generator. Measurement data was displayed in real time in the Blynk application and recorded to the cloud. Testing was conducted over 14 days at one-hour intervals, during which the system was tested under both automatic and manual switching conditions. The results showed that the Blynk application could display power supply switching status with a fast response and accurately log voltage data. This demonstrates the effectiveness of Blynk as a cloud-based monitoring and data logging tool in the IoT-based ATS-AMF power supply system
Cover Vol 24 No 2 tahun 2025 Lie Jasa
Majalah Ilmiah Teknologi Elektro Vol 24 No 2 (2025): ( Juli - Desember ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/

Abstract

Cover Vol 24 No 2 tahun 2025
Analisis Akurasi Sensor PZEM-004T dalam Pengukuran Tegangan dan Arus Listrik pada Sistem ATS-AMF Berbasis IoT Prananda Suni Veda; I Gede Dyana Arjana; I Made Suartika; Anak Agung Gede Maharta Pemayun
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p01

Abstract

Energi listrik merupakan kebutuhan vital dalam mendukung operasional sistem berbasis Internet of Things (IoT), khususnya pada sistem monitoring dan pengalihan sumber daya listrik seperti Automatic Transfer Switch–Automatic Main Failure (ATS-AMF). Akurasi pengukuran parameter listrik, terutama tegangan dan arus, menjadi faktor penting untuk menjamin kestabilan sistem, keamanan perangkat, serta efisiensi penggunaan energi. Penelitian ini bertujuan untuk menganalisis tingkat akurasi sensor PZEM-004T dalam mengukur tegangan dan arus listrik pada sistem monitoring berbasis IoT. Metode penelitian dilakukan dengan membandingkan hasil pembacaan sensor PZEM-004T terhadap alat ukur konvensional berupa AVO meter digital pada berbagai kondisi beban operasional di lingkungan perkantoran. Sensor diintegrasikan dengan mikrokontroler Wemos D1 R32 dan sistem monitoring berbasis aplikasi Blynk untuk memperoleh data secara real-time. Pengujian dilakukan pada dua sumber daya listrik, yaitu PLN dan genset, dengan pengambilan data secara berulang untuk memperoleh nilai deviasi dan persentase error pengukuran. Hasil pengujian menunjukkan bahwa rata-rata pengukuran tegangan menggunakan sensor PZEM-004T sebesar 224,34 V, sedangkan alat ukur konvensional menunjukkan 224,82 V dengan rata-rata error sebesar 0,214%. Pada pengukuran arus, sensor mencatat nilai maksimum sebesar 11,3 A, sementara alat ukur konvensional mencatat 11,8 A, dengan rata-rata error sebesar 3,84% dan error tertinggi sebesar 4,55%. Nilai error tersebut masih berada dalam batas toleransi untuk aplikasi monitoring non-industri. Berdasarkan hasil tersebut, sensor PZEM-004T dinyatakan cukup andal untuk digunakan pada sistem monitoring kelistrikan berbasis IoT, khususnya pada aplikasi rumah tangga hingga skala menengah, meskipun kalibrasi tambahan tetap diperlukan untuk aplikasi dengan tuntutan presisi tinggi.
Alat Pendeteksi Gangguan Dini Berbasis Suhu Pada Marshalling Kiosk Di Gardu Induk Menggunakan Media Informasi SMS Putu Agus Mahadi Putra; Moch. Reza Naufal Ifandar; Kadek Amerta Yasa; I Made Purbhawa; Farid Dwi Murdianto Murdianto; Andhik Ampuh Yunanto; Luki Septya Mahendra; Mochammad Machmud Rifadil
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p02

Abstract

Pada Gardu Induk terdapat Marshalling Kiosk yang berfungsi sebagai kontrol peralatan di Gardu Induk apabila dispatcher dan kontrol lokal gagal melakukan manuver, karena pada panel ini terdapat banyak sambungan serta komponen yang digunakan sebagai kontrol berpotensi terjadi overheat pada panel karena disipasi panas ataupun sistem pendingin rusak dimana berdasarkan IEC 61439 batas ambient temperatur yang diizinkan ialah 40°C, dan dapat terjadi gangguan lain berupa api yang dapat diakibatkan High Resistance Connection (HRC) karena sambungan longgar, gangguan – gangguan tersebut dapat menggangu saat manuver peralatan. Saat ini PT PLN belum memiliki alat yang mampu mendeteksi adanya gangguan pada panel Marshalling Kiosk oleh sebab itu pada penelitian ini dibuat alat yang mampu mendeteksi adanya gangguan berupa suhu menggunakan LM35, api menggunakan sensor api 5 channel, dan asap menggunakan sensor MQ2 pada Marshalling Kiosk dengan media informasi SMS dan lampu indikator sebagai penunjuk jenis gangguan serta buzzer sebagai alarm.
Sistem Deteksi Lokasi Kebocoran Pipa Distribusi Air Menggunakan Analisis Pola Aliran Multi-Node Berbasis Protokol MQTT Diky Zakaria; Mahmudah Salwa Gianti; Hanif Aidil Rachman; Muhamad Rifai Ayatulloh; Farah Aulia Kirana; Aulia Aufa Zahron
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p03

Abstract

This preliminary study presents a prototype of an Internet of Things (IoT)-based leak detection system for water distribution pipelines. Water loss in conventional networks can reach 20–50% due to delayed response. This research aims to design a prototype that monitors flow rate patterns from multiple pipeline points to identify leak locations based on deviations from normal flow. The system integrates ESP32 microcontrollers and flow sensors across four nodes, transmitting data in real-time to a PHP-based graphical interface via the MQTT protocol. Controlled experiments were conducted using a small-scale prototype with two simulated leak points. Unlike conventional systems that solely rely on monitoring, this architecture implements a closed-loop control mechanism for automated mitigation. Test results show the system successfully localized leaks with a 100% success rate across 13 simulated scenarios without any false positives. Hydraulic anomalies, characterized by increased flow at the sensor before the leak point (due to pump compensation) and a drastic flow reduction at the sensor after the leak point, proved to be effective localization parameters. Communication system evaluation recorded data transmission operating with <1-second latency and 0% data loss. Furthermore, the automated mechanism successfully executed the pump shutdown command (relay off) within 1-2 seconds after a leak was detected. These results confirm the reliability of the proposed architecture in rapidly minimizing water loss. Future research will focus on field testing, sensor optimization, and the development of predictive models.
Klasifikasi Kidung Dewa Yadnya Menggunakan Kombinasi Metode MFCC dan KNN Prawira Adhisastra; Gede Sukadarmika; Fajar Purnama
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p04

Abstract

Kidung Dewa Yadnya is a sacred Balinese vocal art that plays a vital role in Hindu religious ceremonies. However, its existence faces serious challenges in the modern era. Globalization and the dominance of popular culture among the younger generation tend to shift their attention away from local music and traditions due to a preference for modern genres better known through digital media. This puts traditional culture at risk of declining interest and sustainability without appropriate documentation or revitalization strategies. Therefore, this study aims to develop a classification system for Kidung Dewa Yadnya using digital signal processing and artificial intelligence approaches. The Mel-Frequency Cepstral Coefficients (MFCC) method is used to extract acoustic characteristics from sound signals because of its ability to represent human auditory perception. The MFCC process includes pre-emphasis, framing, windowing, fast fourier transform, mel filter bank, discrete cosine-transform, and cepstral lifting stages. The extracted feature vectors are used as input for the K-Nearest Neighbor (KNN) algorithm for classification. The research data were obtained from voice recordings of Kidung Dewa Yadnya singers in .wav format. The test results showed the highest accuracy of 81.25% at k = 1 and k = 2, with an average accuracy above 78%. This value indicates that the combination of MFCC and KNN methods is effective in recognizing the acoustic patterns of kidung. This research is expected to support the preservation of Balinese culture through the digitization of kidung and serve as a basis for the development of an artificial intelligence-based traditional music classification system.

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