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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Prosiding Semnastek Jurnal Informatika dan Teknik Elektro Terapan ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Journal of Electrical Technology UMY ABDIMAS SILIWANGI Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Journal of Energy and Electrical Engineering (JEEE) JTEIN: Jurnal Teknik Elektro Indonesia E-JOINT (Electronica and Electrical Journal Of Innovation Technology) JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Indonesian Journal of Community Dedication in Health (IJCDH) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal FORTEI-JEERI Jurnal Pengabdian Masyarakat Indonesia Gotong Royong Jurnal Pengabdian Siliwangi Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics International Journal of Informatics and Computing SNTE Majalah Ilmiah Teknologi Elektro
Asep Andang, Asep
Department Of Electrical Engineering, Faculty Of Engineering, Univeristas Siliwangi, Tasikmalaya, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Traffic Light Control System With Image Segmentation Technique and Pattern Matching Technique Using NI myRIO Anugrah, Rizki; Andang, Asep; Sugiartana Nursuwars, Firmansyah Maulana
Journal FORTEI-JEERI Vol. 6 No. 1 (2025): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/forteijeeri.v6i1.26

Abstract

Traffic congestion is still a serious problem in many big cities in Indonesia, one of which is due to traffic light settings that are less adaptive to vehicle conditions on the road. This research aims to design and analyze the performance of an adaptive traffic light control system with image segmentation and pattern matching techniques using NI myRIO. The tests include selecting the optimal resolution, comparing fps with webcam input and AVI video, determining the best camera angle, and testing the system in bright, dim, empty streets, and early morning conditions. The results showed that a resolution of 176 × 144 and a camera angle of 90° provided the best performance. AVI video can be used as an alternative in system testing as the results are similar to webcam. The system performed optimally in bright conditions with an F-1 Score of 79.33% and a match rate score of 100% with an average fps of 9.93 fps. However, in dim conditions the performance decreased with an F-1 Score of 69.33% and a Match Rate Score of 41.67% with an average of 10.25 fps. In empty streets and early morning conditions, the system can still operate but sometimes experiences processing delays.
Identification of Blood Sugar Based on Non-invasive Measurements UsingPhotoplethysmography Method Signal Decoding in Diabetics in Tasikmalaya Badriah, Siti; Bahtiar, Yanyan; Cahyati, Peni; Andang, Asep; Fathurrohman, Fahmi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 3 (2024): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v6i3.8

Abstract

Non-invasive blood sugar testing tools are now in great demand among the public. This research aims to develop a non-invasive blood sugar examination tool with a Photopletysmograph signal decoding system based on data acquisition from a wearable sensor device on the wrist. The tool used for data acquisition uses Near Infra Red Light-emitting Diode NIR LED 880 nm, 660 nm and 537 nm. This acquisition transfers signals from the body via a photodiode to a PC Personal Computer for processing using Matlab. The method used in this research is to look for the height of the systolic and diastolic amplitude of the Photopletysmograph PPG signal and use the peak-to-peak voltage Vpp to implement Beer Lambert's law. This method was tested on 54 people, randomly aged 26-89 years, with normal blood sugar to high blood sugar. The results show an error of 18.37% from the gold standard. In conclusion, the use of the PPG signal decoding method has proven to be significant in producing blood sugar values. Furthermore, this method was developed for real-time remote measurements via wearable sensor devices.
Komparasi Metode PI pada pengaturan Tegangan Konverter Buck untuk Kendali Kecepatan Motor BLDC Andang, Asep; Paryono, Ervan; Nursuwars, Firmansyah Maulana
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

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Abstract

Motor BLDC banyak digunakan saat ini dikarenakan berbagai kelebihan mulai dari dimensi yang kecil dan ringan jelajah kecepatan, efisiensi tinggi serta dapat ditempatkan pada daerah yang berbahaya. Pengendalian kecepatan motor BLDC yang sering digunakan adalah PI dengan berbagai gabungan metodenya. Pada penelitian ini akan dilakukan pengendalian kecepatan motor dengan mengendalikan tegangan pada konverter buck yang terhubung dengan inverter tiga fasa sebagai driver motor BLDC. Metode tuning PI yang di paparkan adalah perbandingan metode tuning PI dengan metode ChienRegulator, Chien Servo dan Ziegler Nichols. Pengujian dilakukan pada motor BLDC dengan menggunakan Bump test serta waktu respon dengan berbagai metode. Dari hasil didapatkan bahwa metode Ziegler Nichols mempunyai keunggulan pada saat starting tetapi mempunyai respon waktu yang lambat dibandingkan kedua metode lainnya.
Penerapan Model-Based Design untuk Kendali Elektronika Daya: Studi Kasus STM32 dan Simulink Andang, Asep; Paryono, Ervan; Anshori, Rizal
Seminar Nasional Teknik Elektro Vol. 4 No. 1 (2025): SNTE III
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/snte.25.062

Abstract

Penelitian ini membahas penerapan Model-Based Design (MBD) untuk sistem kendali elektronika daya, dengan fokus pada pengendalian inverter berbasis Sinusoidal Pulse Width Modulation (SPWM) menggunakan MATLAB Simulink dan mikrokontroler STM32. Metodologi yang digunakan mengikuti kerangka V-Model, meliputi tahapan perancangan konsep, pemodelan, verifikasi Software-in--Loop (SIL), dan validasi Hardware-in-Loop (HIL). Studi kasus yang digunakan adalah inverter H-bridge satu fasa dengan kendali SPWM. Hasil penelitian menunjukkan keberhasilan implementasi MBD dalam merancang dan menguji sistem kendali inverter, dengan kesesuaian antara hasil simulasi dan pengujian hardware. Pendekatan ini terbukti efektif dalam mempercepat proses pengembangan, meningkatkan keandalan sistem, dan memfasilitasi iterasi desain yang cepat. Studi ini diharapkan dapat menjadi referensi aplikatif bagi pengembangan sistem kendali daya yang efisien dan mudah direplikasi, baik dalam lingkungan pendidikan maupun industri.
Deteksi Adaptif Titik Kunci Sinyal Photoplethysmography (PPG) dengan Pemodelan Gradien untuk Identifikasi Pola Fisiologis Santosa, Putri Apriliani Tri; Andang, Asep; Nursuwars, Firmansyah Maulana Sugiartana
Majalah Ilmiah Teknologi Elektro Vol 24 No 1 (2025): ( 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.205.v24i01.P05

Abstract

Abstract— Photoplethysmography (PPG) is a non-invasive optical technique for cardiovascular health monitoring, such as blood pressure estimation and arterial stiffness analysis. However, detecting fiducial points in PPG signals such as the onset, systolic peak, dicrotic notch, and diastolic peak is often hindered by noise, baseline wander, and physiological variability. Although various methods have been proposed, such as time-frequency domain analysis and machine learning algorithms, these approaches still have limitations, including high computational complexity and susceptibility to noise. This study proposes a gradient-based analysis approach to improve the accuracy of fiducial point detection in PPG signals. The gradient method is used to detect local maxima and minima in the PPG signal. By incorporating validation and correction modules based on temporal order and amplitude ratios, the approach achieves 100% detection accuracy after initial error correction (initial error rate: 58% for the dicrotic notch). The results demonstrate that this method effectively identifies all fiducial points (onset, systolic peak, dicrotic notch, diastolic peak) in 50 out of 50 datasets, with robust performance against noise and physiological variability. This study confirms that the gradient-based method is suitable for cost-efficient, portable diagnostic applications.    
Peningkatan Kualitas Sinyal Photoplethysmography (PPG) melalui Pendekatan Prapemrosesan Multitahap Handayani, Fitri; Andang, Asep; Maulana Sugiartana Nursuwars, Firmansyah
Majalah Ilmiah Teknologi Elektro Vol 24 No 1 (2025): ( 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.205.v24i01.P06

Abstract

Photoplethysmography (PPG) is a non-invasive technique for measuring various physiological parameters, including blood glucose levels. However, PPG signals are often affected by noise and artefacts that reduce the accuracy of analysis and prediction. Therefore, an effective noise filtering method is needed to make the signal quality and ready for feature extraction for blood glucose estimation. This study offers a solution to the problem of noise in PPG signals through the application of appropriate pre-processing methods. This study aims to select quality PPG signals through three pre-processing methods: detrend, smoothing, and 0.5-5 Hz bandpass filter. The effectiveness of the three methods was evaluated through ADF test to measure the stationarity of the signal, frequency spectrum analysis to observe the distribution of frequency components, and SNR test to assess the signal to noise ratio. Based on the analysis of 67 data samples, the p-value <0.05 was obtained, indicating that the signal has reached a stationary condition. In addition, the average test statistic of men is higher than that of women, indicating that men's signals are more stationary after detrend. Meanwhile, 36 samples (54%) had SNR ≥ 20 dB indicating that more than half of the data were of good enough quality for further analysis. The results show that multi-stage pre-processing improves the quality of PPG signals, validated through quantitative tests of stationarity and SNR values. Thus, the preprocessed and improved quality PPG signals are considered feasible for use in the development of estimation models for various physiological parameters, including blood glucose levels.
Integrating Digital Payment and Monitoring Systems in On-Street Parking Services: A Cyber-Physical System Approach Nursuwars, Firmansyah Maulana Sugiartana; Andang, Asep; Shofa, Rahmi Nur; Sambas, Aceng
JICO: International Journal of Informatics and Computing Vol. 1 No. 2 (2025): November 2025
Publisher : IAICO

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Abstract

On-street parking is a critical component of urban mobility but often encounters challenges in terms of payment efficiency, transparency, and system supervision. This study aims to develop an on-street parking service system based on a Cyber-Physical System (CPS) that integrates digital payments via QRIS and Android Point of Sale (POS) devices. The proposed system is designed to streamline transaction processes, enhance accountability of parking attendants, and provide real-time monitoring data accessible to system administrators. The research methodology combines the Software Development Life Cycle (SDLC) and Hardware Development Lifecycle, with a modular system architecture and comprehensive functional testing. The results show that the system can process transactions in an average of 23 seconds, supports automated digital records, and improves user satisfaction with parking services. The implications of this development extend beyond digital transformation in the transportation sector, offering a foundation for data-driven and adaptive smart parking management. This study contributes to the advancement of efficient, transparent, and user-centered public service systems through integrated technological solutions.
Co-Authors Abdul Chobir Aceng Sambas, Aceng Agus Purnomo Andhy Romdani, Andhy Andri Ulus Rahayu Anshary , Muhammad Adi Khairul Anshori, Rizal Aripin Azizah, Faridah Nafa Badriah, Siti Busaeri, Nundang Chobir, Abdul Chobir, Abdul Dwi Ilham Maulana Farhan Arista Fhadillah Fathurrohman, Fahmi Fhadillah, Farhan Arista Firdaus, Andre Taufik firmansyah maualana sugiartana nursuwars Firmansyah Maulana Fitri Handayani Gustaman, Rian Arie H Aripin Hazbullah, Rifaldi Hidayanti, Lilik Hidayat, Eka Wahyu Ifkar Usrah Ifkar Usrah Imam Taufiqurrahman Maulana Sugiartana Nursuwars, Firmansyah Mochamad Herdi Nurzaman Muhammad Aris Risnandar Mulyadi, Zaki Nico Wahyu Ananto Nico Wahyu Ananto Nugraha, Asep Tri Mulyana Nundang Busaeri Nursuwars, Firmansyah Maulana Nurul Hiron Nurul Hiron, Nurul Oryza Sativa Paryono, Ervan Peni Cahyati, Peni Permana, Prama Pratama, Miftahul Huda Priyatna, Rendi Puspareni, Luh Desi Rendi Priyatna Rifansyah, Elpan Ahmad Risnandar, Muhammad Aris Rizki Anugrah, Rizki Santosa, Putri Apriliani Tri Saputra, Ahmad Ridwan Nur Shofa, Rahmi Nur Sugiartana Nursuwars, Firmansyah Maulana Sutisna Sutisna Syarif Hidayatullah Usrah, Ifkar Wisnu, Iqbal Fawzi Yanyan Bahtiar Yuningsih, Sari Zaki Mulyadi