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Progam Studi Teknik Elektro, Fakultas Teknik Universitas Muhammadiyah Surakarta Jl. Ahmad Yani, Pabelan, Kartasura, Surakarta 57162 Telp: 0271-717417 Ext.: 3223
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Emitor: Jurnal Teknik Elektro
Published by Universitas Muhammadiyah Surakarta
ISSN : 14118890     EISSN : 25414518     DOI : https://doi.org/10.23917/emitor
Core Subject : Engineering,
Engineering
Emitor: Jurnal Teknik Elektro merupakan jurnal ilmiah yang diterbitkan oleh Jurusan Teknik Elektro Fakultas Teknik Universitas Muhammadiyah Surakarta dengan tujuan sebagai media publikasi ilmiah di bidang ke-teknik elektro-an yang meliputi bidang Sistem Tenaga Listrik (STL), Sistem Isyarat dan Elektronika (SIE) yang meliputi Elektronika, Telekomunikasi, Komputasi, Kontrol, Instrumentasi, Elektronika Medis (biomedika) dan Sistem Komputer dan Informatika (SKI).
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 16 Documents
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Search results for , issue "Vol 25, No 3: November 2025" : 16 Documents clear
An Adaptive Automatic Braking System for Enhanced Road Safety : English Pratama, Wildan; Cahya Happyanto, Dedid; Wijayanto, Ardik; Alrijadjis, Alrijadjis; Madyono, Madyono
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.11378

Abstract

The fuzzy logic-based automatic braking system was developed to improve driving safety by reducing reliance on the driver's attention. The system integrates a LiDAR sensor for distance, a magnetic speed sensor for speed, and an ESP32 microcontroller as the main control. The advantage of this system lies in its ability to process data from various parameters adaptively and quickly using the rules of fuzzy logic. Communication between modules is supported by the CANBUS protocol to ensure fast and accurate data exchange. Tests show that the LiDAR proximity sensor has high accuracy with an average error of less than 1%. The speed sensor shows a consistent relationship between the frequency of the inverter and the speed of the car, with an average error of 7.1% on the deceleration. The fuzzy system successfully replicates MATLAB output with relatively few errors, and a more stable Duty Cycle setting than without fuzzy. This proves that the system is adaptive and responsive in a wide range of operational conditions.
LoRaWAN-Based Automated Waste Bin Monitoring System Using the Antares Platform Ardi Prabowo, Muhamad Cahyo; Kusumastuti, Sri; Supriyati, Supriyati; A J, Atikah; Rosita C., Erie; A. Santoso, Muhammad
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.11108

Abstract

The problem of waste in densely populated areas is a serious challenge that requires systematic and sustainable handling. The formulation of the problem in this study is how to design and build an automatic waste bin monitoring system based on LoRaWAN that has the ability to send data in real-time to the Antares platform. This study aims to design and build an automatic waste bin monitoring system that is able to provide information using the LoraWan architecture with the Antares platform. This system uses a number of ultrasonic sensors to detect waste volume and a number of limit switches to monitor the position of the trash bin lid. The LoRa module is used as a long-distance wireless data communication medium, while the Antares platform acts as a cloud-based data storage and presenter that can be accessed via a web dashboard. The system prototype was tested under various conditions. The aim is to evaluate sensor reliability, data transmission stability, and efficiency in power usage. The test results can monitor with a percentage of successful data transmission of 68% and experience errors or failures of 32%. In short, this monitoring system can be an efficient solution in supporting intelligent waste management based on the Internet of Things (IoT) and is fully feasible to be implemented in urban environments as part of the implementation of the smart city concept.
Automation System of Gallon Filling Valve Based on Outseal PLC and Haiwell Interface Fitriyanto, Indra; Aziz, Rofan; Fatwasauri, Icha; Kurnianingtyas, Rahajeng; Pebriari, Rizky Budiman
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12149

Abstract

Water is one of the basic needs that must be met by humans. To meet drinking needs in urban areas, the easiest and cheapest way for people is to buy refilled drinking water. However, the process of filling drinking water is still done manually by humans, so it is prone to errors. Therefore, in this study, the automation of gallon water filling will be carried out using Outseal PLC. Outseal PLC is used because of its relatively low price and greater reliability when compared to a microcontroller. In addition, the gallon filling status will also be displayed on the HMI display. In this study, a trial will be conducted on a drinking water installation at the Indramayu State Polytechnic (Polindra). Before testing, the flow sensor used must be calibrated first. Calibration is done by comparing the results of the flow sensor readings with the PDAM water meter to obtain a conversion of pulses to liters of water. Based on the tests that have been carried out, the results obtained are that the system can work well, namely the valve and pump turn on when the start button is pressed and will automatically turn off when the sensor has read a water volume of 19 liters. However, the sensor shows different readings when the water source used has a different water flow rate. In the first calibration using PDAM water flow rate, a pulse value of 464 was obtained for 1 liter of water, while in the second calibration using pump water flow rate, a pulse value of 566 was obtained for 1 liter of water. This is caused by the sensor used having less sensitivity to changes in water flow rate, which results in different reading results for different water flow rate. Therefore, the sensor must be recalibrated if it is to be used in water installations with different water flow rate. Although the sensor reading values are inconsistent, from tests carried out 40 times, the difference in readings is less than 10%.
Motorcycle Accident Detection Using Gyroscope, Pulse Sensor, and Global Positioning System Based on Internet of Things with WhatsApp Application Muhammad, Rafidal; Jonatan, Mario; Cindy Capella, Ayumi; Kurnia, Fajar; Hadary, Ferry
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12579

Abstract

Traffic accidents are one of the leading causes of death in Indonesia. In 2022, there were 94,617 traffic accident cases recorded across the country, resulting in 28,131 fatalities. Motorcycles were involved in 73% of these cases. To reduce the number of motor vehicle accident fatalities, a detection system is needed that can provide real-time accident alerts, location data, and victim health information from distances. The design of this system includes an accident detection device placed on the vehicle and a heart rate detection device in the form of gloves. The accident detection system uses an ESP32 microcontroller, a Gyro MPU6050 sensor, and a GPS NEO6MV2 sensor. It detects accidents based on tilt data and sudden braking. Accident information is sent via WhatsApp chatbot, including the accident location coordinates. Tests showed an average tilt reading difference of 1.34°, an accelerometer reading of 1.89 m/s², and GPS coordinates with an 8.2-meter range. The heart rate detection system uses an ESP32 microcontroller and a MAX30102 heart rate sensor. It sends alerts via WhatsApp chatbot when the user’s heart rate is abnormal. Tests showed an average heart rate reading difference of 11.75 bpm
Design of an SDR-Based ILS Receiver Tester for Performance Verification Toni; Sulaiman, Muhammad Arif; Wildan, Muh
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12697

Abstract

The ILS receiver must be tested to ensure its reliability. Commercial ILS receiver testers are prohibitively expensive. This study presents one of the first implementations of a functional portable ILS signal generator, utilizing a low-cost alternative with the HackRF One SDR and GNU Radio to generate precise ILS signals as input to the ILS receiver. The research features adjustable DDM/SDM parameters and a GUI interface. Testing with Thales 7010 showed maximum deviations of 0.0011 DDM (Localizer) and 0.0006 DDM (Glide Path), within operational tolerances. The GNU Radio block contains audio components to generate ILS DDM, including 90 Hz and 150 Hz, as well as processing blocks that prepare them for transmission via the HackRF One. Before evaluation, the research was calibrated with the ILS Analyzer Thales 7010. Testing with Thales 7010 showed maximum deviations of 0.0011 DDM (Localizer) and 0.0006 DDM (Glide Path), with SDM at ±40% (Localizer) and ±81% (Glide Path), within operational tolerances. As part of the verification, IFR-4000 was used to confirm the system's viability for receiver testing.
Evaluation of ANN Training Methods: A Comparative Study of Back Propagation, Genetic Algorithm, and Particle Swarm Optimization for Predicting Electrical Energy Consumption Prenata, Giovanni Dimas
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12719

Abstract

This study compares the performance of ANN with three training methods: Backpropagation (BP), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) in a simple classification case. The results show that ANN GA has the smallest average error (0.0308), followed by ANN BP (0.0569), while ANN PSO is much larger (0.7559). Thus, ANN GA proved to be the most stable and accurate, ANN BP still performed quite well, while ANN PSO had the weakest performance.
Design of a Ship Speed Control System Using Hybrid Propulsion Based on Fuzzy Logic Aldoko, Fajar Surya Muhammad; Kurniawan, Edi; Amrullah, Romanda Annas; Nurdiansari, Henna; Sandi, Wulan Marlia
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12727

Abstract

The maritime transportation sector, especially in archipelagic countries like Indonesia, faces significant challenges in optimising ship speed and fuel efficiency, particularly when using hybrid propulsion systems. This study aims to design a ship speed control system based on fuzzy logic integrated with a hybrid propulsion system (BLDC motor and diesel engine) for a trimaran vessel. The research employed both static and dynamic testing on the system, measuring parameters such as motor RPM, current consumption, voltage, and fuel efficiency across different speed modes (from 4 km/h to 11 km/h). The results showed that the fuzzy logic-based control system notably improved speed stability and fuel efficiency, especially at lower speeds, compared to conventional systems. Additionally, the system effectively adapted to environmental conditions such as waves and currents, optimising power distribution between the BLDC motor and diesel engine. The conclusion emphasises that this fuzzy logic-based control system offers a promising solution to enhance operational efficiency in hybrid propulsion systems for maritime vessels, ensuring reduced fuel consumption and improved environmental sustainability.
Design and Development of an EMG-Based Interactive Musical Instrument Using the Decision Tree Method Pratiwi, Reniantika Dwi; Rokhana, Rika; Waya Rahmaning Gusti, Agrippina
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12866

Abstract

Hand motor limitations often hinder individuals from expressing their musical creativity, particularly those affected by neurological disorders, musculoskeletal injuries, or playing-related musculoskeletal disorders. Such impairments restrict access to traditional instruments and highlight the need for alternative modes of musical interaction. This study addresses the problem by designing an interactive musical instrument based on surface electromyography (EMG), enabling the conversion of forearm muscle activity into digital notes via a MIDI controller in real time. The system integrates a Muscle Sensor v3, Arduino Uno, and Python-based software equipped with a graphical user interface. The processing pipeline consists of EMG signal acquisition, feature extraction using three widely adopted time-domain features—Mean Absolute Value (MAV), Root Mean Square (RMS), and Waveform Length (WL)—and gesture classification with a Decision Tree algorithm implemented in scikit-learn. Once classified, the gestures are mapped to corresponding MIDI note values and transmitted to a Digital Audio Workstation (DAW) for sound production. Experimental evaluation was performed on eight distinct hand gesture classes. For each class, 20 repetitions were collected for training, and 10 additional repetitions were used for testing, resulting in 80 independent test trials. The system achieved an overall accuracy of 82.5%, with 66 correct predictions out of 80. Simple gestures such as Hand Open and Index Bend reached 100% accuracy, whereas gestures with overlapping muscle activation patterns, notably Form Number 1 and Form Number 2, achieved only 60% accuracy due to their highly similar EMG features. These results demonstrate that the Decision Tree algorithm, while computationally efficient and interpretable, has limitations when handling non-linearly separable data. Nonetheless, the study establishes the feasibility of using Decision Trees as a lightweight baseline for real-time EMG-based musical interfaces. The findings suggest potential for further development through multi-subject, multi-channel EMG datasets and advanced classifiers such as Support Vector Machines (SVM) or Artificial Neural Networks (ANN). Ultimately, this work contributes to the advancement of inclusive and adaptive digital musical technologies for individuals with motor impairments.
Detecting of Gunshots Direction Using TDOA (Time Difference of Arrival) Untsa, Risdilah Mimma; Akbar, Fannush Shofi; Faradila Purnama, Arrizky Ayu; Muhsin, M; Rachmaningrum, Nilla
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12867

Abstract

In order to avoid shots being fired in undesirable areas, a device is required that can detect the origin of the shot so that the source of the bullet can be identified. This research was conducted to maintain the security and stability of a region. The objective of this study is to develop a device that utilizes the time difference of arrival (TDoA) method to determine the direction of gunshot on a gunshot location device. Prior to the implementation of TDoA, the received sound undergoes a filtration process utilizing an FIR filter. The filtered sound is then subjected to the time-of-arrival (TDoA) method. This method involves the comparison of the direction of sound arrival, followed by calculation and conversion to determine the origin of the gunshot sound. The TDoA coordinates are subsequently determined through the utilization of the multilateration method. In the experiments conducted using a speaker as the sound source and four microphones as receiving sensors, changing the speaker's location demonstrated that the signal-to-noise ratio (SNR) of the sound signal increased as the distance between the sensor and the sound source decreased. Furthermore, the implementation of an FIR filter during post-processing can enhance the SNR of the sound received at the sensor by 27% to 32%. In this research, the TDoA method demonstrated a high degree of efficacy, attaining a detection accuracy of 99.78%.
Design and Performance Evaluation of an Energy Efficient Manure Shredder Pulverizer for Organic Fertilizer Production Damayanti, Annisa Maulidia; Amalia, Zakiyah; Permatasari, Dinda Ayu; Wicaksono, Rendi Pambudi; Hasanah, Qonitatul; Puspitasari, Etik
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.12977

Abstract

The growing demand for organic fertilizer calls for innovations in manure processing technology to enhance production efficiency and product quality. This study presents the design, fabrication, and performance evaluation of a prototype manure shredder–pulverizer that integrates dual shredding and pulverizing functions to accelerate the composting process and produce uniform particle sizes. The machine is powered by a 6.5 HP gasoline engine and tested using fresh goat manure with an average moisture content of approximately 70%. Performance evaluation focused on processing capacity, particle size distribution, specific energy consumption, and output homogeneity. The prototype achieved an average processing capacity of 96.4 kg/h, with more than 82.5% of the processed material passing through a 4 mm sieve and a dominant fraction of 2–4 mm (54.0%), which is ideal for composting. The specific energy consumption averaged 0.050 kWh/kg, lower than reported values for comparable small-scale biomass shredders. The homogeneity index consistently rated as Good, indicating stable particle size distribution across repeated trials. These findings demonstrate that the developed prototype provides a practical, energy-efficient, and low-cost solution for small-scale organic fertilizer production, supporting sustainable agricultural practices and reducing reliance on chemical fertilizers.

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