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Hasyim Asyari
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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 12 Documents
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Search results for , issue "Vol 25, No 2: July 2025" : 12 Documents clear
Design of Smart Hotstage-Microscopy for Enhancing Thermal Behaviour in Drug Melting Process Ramadhani, Muhammad; Yudhana, Anton; Budi Setianto, Arif; Mega Reski4, Julia; Cahya Subrata, Arsyad; Mufandi, Ilham; Jendri
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.v25i1.7320

Abstract

The melting point of medicine is an important factor to determine the purity of medicinal raw materials, thermal behavior is closely related to the melting process of that. This research focuses on developing an intelligent Smart Hotstage-Microscopy prototype to observe thermal behavior in the drug melting process. This prototype heats the drug evenly on a hot plate equipped with a polarizing microscope, thermocouple sensor, microcontroller, and LCD display to view the temperature reading results. The performance of the Smart Hotstage-Microscopy prototype was obtained by testing the thermocouple sensor, heating system, cooling system, and drug validation. In this paper the test results show that the thermocouple sensor test has an R2 value of 0.9983, which shows that the correlation between the actual temperature and the hot part temperature shows a significant correlation, which is 99.83%. Testing the heating system from an average temperature of 28.57°C to the average temperature of 298.59°C took an average time of 11.28 minutes. Meanwhile, testing the cooling system took 5.19 minutes to reduce the temperature from average 298.59°C to 33.379°C. This test proves that the prototype of Smart Hotstage-Microscopy can work well in melting drugs
Design of a Solar Power System for a Four-Way Intersection Traffic Light Based on Time Scheduling Using PLC Huda, Abil; Muis Prasetia, Abdul; Sartika, Linda
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.v25i2.9159

Abstract

Indonesia possesses significant potential for renewable energy utilization, particularly solar energy, with an average daily solar irradiance of 1,200 W/m². This condition is ideal for the development of Solar Power Plants (PLTS). On the other hand, traffic light systems, although critical for regulating vehicle flows, often rely on fixed time cycles that are inefficient under varying traffic volumes. To address this issue, an adaptive control system based on a Programmable Logic Controller (PLC) is proposed, utilizing a time scheduling method. During the evening rush hour from 16:00 to 17:00, the total traffic light cycle duration is 199 seconds, distributed as follows: the South direction experiences a 147-second wait with 48 seconds of green light, the North waits for 165 seconds with 30 seconds of green light, the East waits for 166 seconds with 29 seconds of green light, and the West waits for 120 seconds with 75 seconds of green light. The yellow light is active for 3 seconds in all directions, and there is a 1-second red light buffer before transitioning between intersections
Simulation and Comparative Analysis of PID and LQR Controllers for Speed Control of a BLDC Motor Based on State-Space Model Wahab, Faisal
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.v25i2.10229

Abstract

This study explores the performance of Proportional-Integral-Derivative (PID) and Linear Quadratic Regulator (LQR) controllers in regulating BLDC motor speed. The PID controller is tuned using both MATLAB-based auto-tuning and manual parameter selection, while the LQR controller is designed by adjusting the Q and R matrices through iterative optimization. To evaluate their effectiveness, a mathematical model of the BLDC motor is developed in a state-space representation, enabling simulation of its dynamic response. The open-loop system shows a slow response and significant steady-state error, making it unsuitable for precise speed control. The PID tuner improves response time and accuracy, it introduces overshoot. Manual tuning further refines performance by reducing overshoot and enhancing stability. The LQR controller demonstrates the fastest response, minimal overshoot, and the lowest steady-state error, making it the most effective approach for BLDC motor speed regulation
Design and Simulation of Bridgeless Cuk Converter as Electric Vehicle Battery Charger Sabatino, Demas; Ashraf Ahmad, Mohd
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.v25i2.10293

Abstract

Two-wheeled electric vehicles in Indonesia have special specifications with SNI standards on rechargeable battery components. To recharge the battery with a household PLN power source, a charger device is required that meets the input and output specifications. In this study I will design and simulate a battery charger device with an output voltage specification of 72V and a maximum current of 3A. The charger device uses a bridgeless cuk converter topology with an input voltage that adjusts to 220Vrms AC household electricity. By using the specifications on the input and output, the calculation in the design produces a nominal duty cycle value of 18.8% at a frequency of 100kHz, and the component values . The first simulation was conducted with a fixed duty cycle of 18.8% which produced a full-wave sinusoidal output signal where the maximum voltage was -70.5 V and the average voltage was -45 V, the maximum current was -2.93 A and the average current was -1.87 A. The power efficiency of the first simulation result was 96.2%. The second simulation was conducted with a duty cycle control in the form of a comparator from the saw signal and the output voltage of the cuk converter. The second simulation produced a more constant signal with a maximum voltage of -100 V and an average voltage of -73 V, a maximum current of 4 A and an average current of -3.05 A. The power efficiency of the second simulation result was 96.99%.
Low-cost Device to Upcycling PET Plastic Bottle Into 3D Printer Filament Rodiana, Irham Mulkan; Pramudita, Brahmantya Aji; Barokatillah, Nyimas Anggun; Abd. Rahman Saleh; Aghesa Tri Nirbhita Daniswara
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.v25i2.10473

Abstract

Plastic waste poses a substantial risk, causing blockages in water channels and contributing to flooding incidents. The accumulation of plastic bottles, which can take 450 to 1000 years to decompose, accelerates environmental degradation. The Ministry of Environment and Forestry (KLHK) supports waste utilization industries through the 3R principle (Reuse, Reduce, Recycle), with recycling offering a sustainable way to reuse materials. The advent of Industry 4.0 brings technological advancements, particularly in 3D printing through the FDM method. Addressing this issue requires more efficient waste management, promoting the use of refillable bottles, seeking eco-friendly packaging materials, and recycling PET bottles into 3D printing filaments. This approach provides low-cost value, reducing dependence on virgin materials and cutting waste. Additionally, the development of a mobile app adds integrated value, enabling users to efficiently set up devices for optimized filament production. A clean and sustainable environment necessitates full support from government policies and collaboration among the government, industry, and the community. Filament testing from plastic bottles reveals variations in diameter based on experimental speed. At 4 RPM, the filament measures 1.6 mm, while other speeds result in approximately 1.7 mm. The combination of 2 RPM speed and a temperature of 200°C, and 3 RPM speed with a temperature of 210°C, proves most suitable for high-quality 3D printing of Vase and 3D Benchmark from plastic bottles.
Water Temperature Control System With PID Control Method and Fuzzy Logic Based on SCADA sholeh, firma dilla; Suryatini, Fitria; Wisma Nugraha, Nur; Lilansa, Noval
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.v25i2.11064

Abstract

The process of heating water to a certain temperature is commonly found in various industries, such as the chemical or food and beverage industries. This water heating is used to improve product quality, but temperature changes often become unstable due to external disturbances. Therefore, to ensure that the water temperature in the tank reaches the desired point with a fast and stable response, a PID controller or fuzzy logic controller is required. In water temperature control systems, the use of fuzzy logic in nonlinear systems is more effective than PID. Therefore, this study aims to compare the Ziegler-Nichols PID control method with the Sugeno fuzzy logic method to determine the appropriate and efficient control method. By examining the system stability and transient response of the water temperature controller as test parameters, it is hoped that the effects of these control methods will be beneficial for industrial implementation, thereby achieving good product quality based on SCADA Wonderware InTouch for monitoring, controlling, and modeling. The comparison between the Ziegler-Nichols PID and Sugeno Fuzzy Logic concludes that the use of Fuzzy Logic controllers has smaller error values and faster and more efficient system responses compared to PID in achieving the desired set temperature of 24 ºC in the experiment.
Electric Energy Measurement System For Energy Management Household With Convolutional Neural Network Method Rozali, devan; Eviningsih, Rachma Prilian; Ayub Windarko , Novie
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.v25i2.10357

Abstract

Abstract- Short Term Load Forecasting (STLF) is becoming very important as the use of distributed energy sources, renewable energy, and demand side management increases. Electrical energy is one of the most widely used energy, especially in households. To avoid excessive electricity consumption, we propose a household electricity consumption forecasting system using Convolutional Neural Network (CNN) method. The input of CNN is the power of several household loads measured for one week at 10-minute intervals. This data is used to train the model and predict household electricity consumption for the next week. Forecasting results for a week show a difference in consumption of 3.623 kWh, while with the load management method the difference is 3.439 kWh. With an electricity tariff of Rp1.352/kWh, the estimated electricity cost for the following week is Rp4.892.00, and with load management, the cost drops to about Rp4.649.52 (5% savings).The testing method is done by comparing the forecasting results and actual data for one week. The results show an average difference of only 1.57W with an average error of 0.07%. The CNN method is also compared with the Long Short-Term Memory (LSTM) method. As a result, CNN has better performance with CNN RMSE value of 3.688, CNN management of 3.354, while LSTM RMSE of 12.603, and LSTM management of 13.132. CNN is proven to be more accurate for household short-term electricity load forecasting..
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.

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