cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Goegoes Dwi Nusantoro
Contact Email
goegoesdn@ub.ac.id
Phone
-
Journal Mail Official
jurnaleeccis@ub.ac.id
Editorial Address
-
Location
Kota malang,
Jawa timur
INDONESIA
Jurnal EECCIS
Published by Universitas Brawijaya
ISSN : 19783345     EISSN : 24608122     DOI : -
Core Subject : Engineering,
Engineering
EECCIS is a scientific journal published every six month by electrical Department faculty of Engineering Brawijaya University. The Journal itself is specialized, i.e. the topics of articles cover electrical power, electronics, control, telecommunication, informatics and system engineering. The languages used in this journal are Bahasa Indonesia and English.
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol. 19 No. 1 (2025)" : 6 Documents clear
The Early Detection Tool for Bladder Cancer Based on Quantum Dots Fluorescence Integrated with Fuzzy Logic Classification Application Programming Interface Ekiawan, Krisna Seiya; Tan, Evan Manuel; Faustin, Levina Nasywa; Ahmad, Verousson; Suroso, Ajeng Lintang Kinasih; Budaya, Taufiq Nur; Nurussa’adah, Nurussa’adah
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 1 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i1.1727

Abstract

Cancer is a disease caused by genetic changes that cause abnormal and uncontrolled cell growth. One of the cancers with an enormous growth in the number of cases is bladder cancer, with the number of new cases in 2020 amounting to 573,000 cases in the world. This number is supported by inadequate early detection modalities that cannot reach the wider community. The Detection On The Spot Bladder Cancer (DOTS Bca) innovation aims to reduce the prevalence of bladder cancer and becomes an affordable early bladder cancer detection tool that can be used repeatedly and has high sensitivity. DOTS BCa detects the 47 kiloDalton epitope protein biomarker in the patient's urine. This tool uses Carbon Quantum Dots (CDs) as a semiconductor material, which will be analyzed for the level of fluorescence when it binds to a 47 kiloDalton epitope. The innovation design method includes literature study, design, tool making and testing. The early detection system test was carried out by comparing the CDs fluorescence results with the bladder cancer diagnostic test and obtained an accuracy of 85% with sensitivity 90% and specificity 80%. This tool is analyzed using fluorescence resonance energy transfer, integrated application programming interface, and fuzzy logic classification, which can work non-invasively.
Multiple-Signal-Classification for Superior Target Detection in Subarray-MIMO Radar Systems Selviyani, Selviyani; Tahcfulloh, Syahfrizal
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 1 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i1.1747

Abstract

One of the keys to ensuring optimal radar performance in various applications, from security to navigation, is a high target detection probability. This paper uses a multiple-signal-classification (MUSIC) algorithm to increase the detection probability which is implemented on a MIMO radar with subarrays in the transmit (Tx) and receiver (Rx) antenna array elements called the SMIMO radar. The subarray method on this radar is known to increase the angular resolution of detection, expand the detection range, add virtual arrays, and minimize the influence of interference compared to conventional radars such as phased-array and MIMO radars. The evaluation and effectiveness of the detection probability performance of this radar are compared to previous radars by considering the number of Tx-Rx antenna elements, the number of subarrays in Tx-Rx, false alarm probability, and SNR variations. SMIMO radar with the MUSIC algorithm and Tx-Rx subarrays demonstrates superior detection performance at low SNR, achieving a Pd of 0.9 at SNR -24.4 dB and outperforming PhA, MISO, and MIMO radars. Increasing Tx subarrays (W) significantly enhances detection capabilities, with ROC analysis showing Pd above 0.92 at Pfa around 10?² and SNR above -15 dB, making it highly effective for weak signal detection.
The Design and Implementation of Level Shifted SPWM for 3-Phase 3-Level Inverter : Optimization for Renewable Energy Applications Al-Khansa, Ahmad Qurthubi Salman; I Made Wiwit Kastawan; Nanang Mulyono
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 1 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i1.1739

Abstract

The use of renewable electrical energy aims to meet increasing energy needs. One form of electrical energy from renewable sources includes Direct Current (DC) voltage. On the other hand, many household and industrial appliances require Alternating Current (AC) voltage. Therefore, an inverter device is required to convert the (DC) voltage into (AC). The use of inverters may cause high harmonic values of voltage and current in the power grid. The selection of the right switching technique and inverter level can reduce the harmonic value. This research aims to produce a module that can issue a signal to trigger 3 levels of 3-phase inverter using the level-shifted SPWM switching method. The design and implementation of the level-shifted SPWM module uses analog signal processing. Level-shifted SPWM works using two carrier signals, which are then compared with the 3 phase sinusoidal reference signal. In this research, a level-shifted SPWM module for 3 levels of 3-phase is produced, having an output of 12 SPWM level-shifted signals, with multi carrier signals frequency that can be varied from 500-2500 Hz and a reference signal that is fixed at 50 Hz. The output voltage ranging from 10-11 Volt DC
Optimisation of Overload and Overcurrent Protection to Improving Operational Efficiency of Cone Crusher Motor Kurniawan, Muhammad; Hasanah , Rini Nur; Nurwati, Tri; Soltana Guesmi
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 1 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i1.1764

Abstract

The mining industry occupies a pivotal position in the global economy, particularly in terms of supplying indispensable raw materials. A primary challenge confronting this industry is the imperative to preserve the reliability and operational efficiency of equipment, notably electric motors utilized in cone crusher machinery. The presence of overload and overcurrent issues in motors has the potential to induce operational disruptions, a decline in efficiency, and the prospect of irreversible damage. This research endeavors to optimize the overload and overcurrent protection system on the cone crusher motor to enhance operational efficiency at PT Amman Mineral Nusa Tenggara. The proposed methodology involves the utilization of MATLAB Simulink software, employing models of "Asynchronous Machine," "Thermal Overload Relay," and "Overcurrent Relay." The simulation results, as depicted by MATLAB Simulink, reveal that the initial start-up current reaches 988.86 A at 0.01 seconds, subsequently stabilizing within the range of 80-121 A. This value exceeds the nominal capacity of the motor, which can lead to overheating and increased operational costs. Subsequent to optimization through the resetting of the protection parameters, including adjustments to the pickup current and time-current curve, the risk of unnecessary trips can be mitigated.
ECG Signal Classification Using MODWT and CNN for Early Detection of Cardiac Abnormalities Hamadani, Mohammad Yusuf; Abidin, Zainul; Muhammad Fauzan Edy Purnomo
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 1 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i1.1769

Abstract

Accurate classification of ECG signals is crucial for the early detection of cardiac abnormalities. This study proposes a method that integrates Maximal Overlap Discrete Wavelet Transform (MODWT) for feature extraction with a Convolutional Neural Network (CNN) to enhance classification performance. Unlike previous research that applied a custom 1D CNN directly to raw ECG signals, this approach preprocesses the data using MODWT to extract QRS complex features, improving the model’s ability to distinguish between different heart conditions. The classification includes four categories: Atrial Fibrillation (AF), Congestive Heart Failure (CHF), Normal Sinus Rhythm (NSR), and Ventricular Fibrillation (VF). The model’s performance was evaluated using key metrics, achieving precision of 96.96%, recall of 96.88%, F1-score of 96.86% and an accuracy of 98.75% on test data and 96.88%, on validation data. These results indicate that the proposed approach provides competitive classification performance, demonstrating the potential of combining wavelet transform and deep learning techniques to support ECG-based cardiac abnormality detection and diagnosis.
A Single Phase Inverter Using The Unipolar Sinusoidal Pulse Width Modulation Method Iskandar, Muhammad Iskandar; Panca Mudjirahardjo; Bambang Siswojo
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 1 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i1.1789

Abstract

The output power quality of conventional inverters often contains high levels of harmonic distortion, which can negatively affect the performance of connected electrical equipment. Therefore, a switching method capable of producing a near-ideal sinusoidal waveform with low total harmonic distortion (THD) is needed. This study presents the design and implementation of a single-phase inverter employing the Unipolar Sinusoidal Pulse Width Modulation (SPWM) technique to generate an output voltage waveform that closely resembles an ideal sine wave. Electrical energy produced by renewable energy requires a control system and an inverter. This inverter can convert direct current (DC) from renewable energy sources into alternating current (AC) with a wave quality that is close to a pure sinusoidal wave. The sinusoidal waves produced by this inverter are very important for maintaining optimal performance of sensitive electronic devices and reducing harmonic distortion which can damage electrical equipment. In this research, the design and manufacture of a single-phase H-Bridge inverter was carried out using the Unipolar Sinusoidal Pulse Width Modulation (USPWM) method. This method was chosenbecause it is capable of producing waveforms that are close to pure sinusoidal with lower Total Harmonic Distortion (THD) compared to conventional switching methods. This design includes a simulation stage using Matlab R2024b to analyzethe waveform and inverter performance before hardware implementation. The test results show that the inverter is ableto work well with a THD of 1.14%, an output power of 1,370Watt with a frequency of 50 Hz. These results show thatthe Unipolar SPWM method is very effective for controlling single-phase inverters for low to medium power applications.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 19 No. 3 (2025) Vol. 19 No. 2 (2025) Vol. 19 No. 1 (2025) Vol. 18 No. 3 (2024) Vol. 18 No. 2 (2024) Vol. 18 No. 1 (2024) Vol. 17 No. 3 (2023) Vol. 17 No. 2 (2023) Vol. 17 No. 1 (2023) Vol. 16 No. 3 (2022) Vol. 16 No. 2 (2022) Vol. 16 No. 1 (2022) Vol. 15 No. 3 (2021) Vol. 15 No. 2 (2021) Vol. 15 No. 1 (2021) Vol. 14 No. 3 (2020) Vol. 14 No. 2 (2020) Vol. 14 No. 1 (2020) Vol. 13 No. 3 (2019) Vol. 13 No. 2 (2019) Vol 13, No 2 (2019) Vol 13, No 1 (2019) Vol 12, No 2 (2018) Vol 12, No 1 (2018) Vol. 11 No. 2 (2017) Vol 11, No 2 (2017) Vol 11, No 1 (2017) Vol. 11 No. 1 (2017) Vol 10, No 2 (2016) Vol 10, No 1 (2016) Vol 9, No 2 (2015) Vol. 9 No. 2 (2015) Vol 9, No 1 (2015) Vol 9, No 1 (2015) Vol 8, No 2 (2014) Vol 8, No 2 (2014) Vol 8, No 1 (2014) Vol 7, No 2 (2013) Vol 7, No 1 (2013) Vol 6, No 2 (2012) Vol 6, No 1 (2012) Vol 4, No 2 (2010) Vol 4, No 1 (2010) Vol 3, No 2 (2009) Vol 3, No 1 (2009) Vol 2, No 1 (2008) Vol. 1 No. 1 (2007) More Issue