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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 81 Documents
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The Impact of Extreme Data Imbalance on Evaluation Metrics of Deep Learning Models for Loan Default Prediction Budiyanto, Irfan; Hermawan, Arief; Avianto, Donny; Kusban, Muhammad
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i2.10719

Abstract

The growth of financial technology has made online loans more accessible, but it has also increased the risk of borrowers failing to repay. Developing a reliable system to predict loan defaults is therefore very important. A common problem in these predictions is an imbalance in the data – there are far fewer cases of loan defaults (the minority class) than loans that are paid back on time (the majority class). This imbalance can cause the prediction models to be biased. This research specifically investigates the effect of an extremely increased data imbalance ratio (from 1:170 to 1:33,612) on the evaluation metrics of a Deep Neural Network (DNN) model, particularly when using the Adaptive Synthetic Sampling (ADASYN) oversampling technique. The method used involves adopting a previous research approach that combines ADASYN to handle data imbalance and DNN for prediction, applied to an updated Lending Club dataset with a more severe level of imbalance. The results demonstrate a critical breakdown in key evaluation metrics. Compared to previous research, Accuracy remains high (0.9515) and Specificity is strong (0.9516). However, there is a catastrophic decrease in Precision to almost zero (0.0001), a very low Recall (0.1667), and a resulting F1-Score that is also nearly zero (0.0002). A visual analysis using Principal Component Analysis (PCA) reveals that this decline in Precision is caused by synthetic minority samples generated by ADASYN completely overlapping with the original majority cluster, leading to a massive number of false positives. In conclusion, ADASYN fails to maintain a usable performance level under extreme imbalance conditions, rendering the model ineffective for its intended purpose and highlighting the critical need for alternative strategies when dealing with severe minority class scarcity.
Control System for Watering and Lighting of Chrysanthemum Plants in IoT-Based Greenhouse melani, meikeu; Aminah, Siti; Suryatini, Fitria
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i2.11063

Abstract

Indonesia is a rapidly developing horticultural country, with ornamental plants such as orchids and chrysanthemums contributing significantly to its horticultural economy. To improve the quality of these ornamental plants, an automatic control system is needed to regulate environmental parameters such as soil moisture and lighting. This study developed an automatic control system based on the Internet of Things (IoT) and fuzzy logic to monitor and manage lighting and soil moisture in a greenhouse according to the plant’s growth phase. The system utilizes an ESP32 microcontroller, a light sensor, and a soil moisture sensor, with data transmitted to the Firebase platform and displayed via an Android application built with Kodular. The test results show that the system performs well. The soil moisture sensor achieved an average accuracy of 82.33%, while the calibrated light sensor using linear regression reached an accuracy of 98.15%. The fuzzy logic control system on the microcontroller showed an average error of only 4.35% compared to MATLAB simulations, with a stable irrigation response (1 minute 12 seconds delay, 4 minutes 31 seconds rise time, and 6 minutes settling time without overshoot). The use of LED lighting significantly enhanced the vegetative growth of chrysanthemum plants. The Android application functioned optimally across all key features, and the communication system was successfully tested over a distance of more than 160 km without disruption. These findings demonstrate that the proposed system is effective for intelligent and efficient plant monitoring and management in a greenhouse environment.
Implementation of 5G Standalone Private Network for UHD Video Streaming Adriansyah, Ahmad; Soim, Sopian; Aryanti
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i2.11093

Abstract

The growing user preference for Ultra High Definition (UHD) video content on various Over-the-Top (OTT) platforms presents a significant challenge in Indonesia, where 5G network coverage is limited and primarily based on the Non-Standalone (NSA) architecture. This study demonstrates the development and implementation of an affordable private 5G Standalone (SA) network as a viable alternative for high-quality video streaming. A private 5G SA network was constructed using open-source Open5GS software and a Universal Software Radio Peripheral (USRP) B210. Its performance was evaluated through speed tests and traffic sniffing analysis during 4K and 8K video streaming and then compared against a public 5G NSA network in Palembang. The results showed that the private SA network delivered significantly faster upload speeds and more consistent low latency than its public NSA counterpart. Although some public NSA locations provided higher download speeds, both network configurations achieved flawless data transmission with zero packet loss and high throughput during UHD streaming. The study concludes that a private 5G SA network is a highly effective, flexible, and slightly superior alternative for deployment, capable of reliably supporting the demands of UHD video streaming.
Design and Implementation of a Microbacteria Incubator with Fuzzy-PID Control System aba, Muhammad Ulin Nuha; Abdul Haris Kuspranoto
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i2.11576

Abstract

The development of precise environmental control systems in microbiological incubators is essential to promote optimal bacterial growth and ensure consistency in experimental outcomes. Traditional PID controllers, while effective, often exhibit limitations in handling the complex nonlinear dynamics and uncertainties present in incubation environments. This research aims to design and implement a microbacteria incubator equipped with an adaptive fuzzy-PID control system that dynamically tunes the PID parameters by leveraging fuzzy logic principles for enhanced performance. The incubator’s architecture includes a stainless steel chamber with multi-point temperature and humidity sensors, resistance heating elements, and a versatile airflow mechanism enabling mechanical, gravity, and dual convection modes. Experimental evaluations demonstrate that the fuzzy-PID controller significantly improves temperature uniformity, reduces overshoot, shortens settling times, and achieves higher steady-state accuracy compared to traditional PID methods. The findings confirm that incorporating fuzzy logic into PID control substantially elevates incubator reliability and precision, offering valuable implications for microbiological research, clinical diagnostics, and related applications.
Photovoltaic System Performance Analysis with the Application of Hybrid Maximum Power Point Tracking Based on Incremental Conductance (INC) Oktavia, Sari; Herawati, Afriyastuti; Satria Rinaldi, Reza; Rodiah, Yuli
Emitor: Jurnal Teknik Elektro Vol 25, No 2: July 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i2.11976

Abstract

It requires work to maximize photovoltaic (PV) power output in order to maximize solar panel input to the battery and avoid overcharging or overdischarging. A technique to determine the value of the maximum power point (MPPT) is required in order to enhance the performance of photovoltaic systems and guarantee that solar panels run at the MPP. In the application of Standard Test Conditions (STC) in comparing the application without using MPPT, INC-based MPPT, and GWO-INC MPPT, it is found that to achieve the maximum power point of the panel, it is good to use the hybrid MPPT GWO-INC application, which gets the maximum power point tracking efficiency value of 64.34% and solar panel efficiency of 12.86% compared to without using MPPT which only gets the maximum power point tracking efficiency value of 52.9% with panel efficiency of 10.58%.
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.

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