Article Per Year (5 Year)
p-Index From 2021 - 2026
3.126
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) MEDIA ELEKTRIKA Elkom: Jurnal Elektronika dan Komputer Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROSIDING CSGTEIS 2013 Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Telematics and Informatics Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer JUITA : Jurnal Informatika Majalah Ilmiah MOMENTUM JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal of Electrical Technology UMY RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Medika Trada Jurnal Rekayasa elektrika International Journal of Information Engineering and Science International Journal of Electrical Engineering, Mathematics and Computer Science International Journal of Mechanical, Electrical and Civil Engineering Green Engineering: Journal of Engineering and Applied Science RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi
Sri Arttini Dwi Prasetyawati
Universitas Islam Sulta Agung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Social Sciences

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
Motor Speed Control for River Sediment Volume Measurement Using a Fuzzy Logic Controller Nur Azizah Maghfiroh; Muhammad Kevin Hardiansyah; Sri Arttini Dwi Prasetyowati; Nugroho, Agus Adhi; Bustanul Arifin
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 4 (2025): October: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i4.235

Abstract

The DC motor serves as the main drive of the vessel and is equipped with a rotary encoder that functions to regulate the movement of the sensor in measuring sediment levels. This rotary encoder is also used to monitor and represent the rotational speed of the DC motor. System testing was carried out by implementing a Fuzzy Logic Controller (FLC) algorithm to control the DC motor speed in moving the vessel, ensuring stable motion. This fuzzy logic–based approach is expected to improve accuracy and efficiency in sediment volume calculations, while also reducing potential errors that commonly occur in manual methods. Simulating motor speed control using the fuzzy logic algorithm in MATLAB, the best test results were achieved over several trials, with a rise time of 376.310 ms and an overshoot of 83.33%. Motor speed measurements using both a tachometer and Arduino produced consistent results, with an average relative error of 0.18%.
Feature Extraction Using Discrete Wavelet Transform and Zero Sequence Current for Multi-Layer Perceptron Based Fault Classification Khoirudin, Irfan; Sri Arttini Dwi Prasetyowati
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 4 (2025): October: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i4.239

Abstract

Application of Multi-Layer Perceptron neural network to fault classification in high-voltage transmission lines is demonstrated in this paper. Different fault types on protected transmission line should be detected and classified rapidly and correctly. This paper presents the use of Discrete Wavelet Transform energy features combined with zero sequence current magnitude as input features for neural network classifier. The proposed method uses eight extracted features to learn hidden relationship in fault signal patterns. Using proposed approach, fault detection and classification of all 11 fault types could be achieved with high accuracy. Improved performance is experienced once the neural network is trained sufficiently with 1188 fault samples, thus performing correctly when faced with different system conditions. Results of performance studies show that proposed neural network-based classifier achieves 96.18% average accuracy, which demonstrates that it can improve the performance of conventional fault classification algorithms, which in turn can provide more efficient solutions in the management and protection of high voltage electrical systems.
Pengembangan Sistem Deteksi Anemia Non-Invasif Menggunakan Photoplethysmography (PPG) dan Logika Fuzzy untuk Estimasi Kadar Hemoglobin Yugiantoro, Darojat; Nuryanto Budisusila, Eka; Dwi Prasetyowati, Sri Arttini; Arifin, Bustanul
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada Vol 6 No 2 (2025): MEDIKA TRADA: Jurnal Teknik Elektromedik Polbitrada Vol 6 No 2 (2025)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v6i2.163

Abstract

The Anemia is a global health issue affecting many individuals worldwide. Traditional anemia detection through invasive blood testing is often costly, time-consuming, and requires trained medical personnel. This study developed a non-invasive anemia detection system based on Photoplethysmography (PPG) technology and fuzzy logic to estimate hemoglobin (Hb) levels and classify the degree of anemia. The system uses a PPG sensor to measure red and infrared light intensities, which are used to calculate the ratio and estimate the hemoglobin levels. The fuzzy logic system then classifies the estimated Hb results into the categories of Severe Anemia, Moderate Anemia, and Mild Anemia. The results of the study indicate that this system provides an estimated hemoglobin level with an accuracy of 92.1%, and can classify anemia degrees with results comparable to conventional blood testing. This system offers a more practical, efficient, and non-invasive alternative for anemia detection and has the potential to be used for self-health monitoring.
Co-Authors ., Gunawan Achmad Sulchan, Achmad Adhi Susanto Adhi Susanto Agung Satrio Nugroho Agus Adhi Nugroho Agus Adhi Nugroho Alfano Endra Wardhana Ari Wibowo Ari Widiatmoko Arief Marwanto Aries Budiyono Ary Sulistyo Utomo Aulia, Muhammad Rifky Badieah Assegaf Bahrun Niam Basit, Abdul Bhakti Yudho Suprapto Bima Sekti Wibawanto Budiyono, Aries Bustanul Arifin Bustanul Arifin BUSTANUL ARIFIN Darso D Deris Stiawan Diah Arie WK Eka Nuryanto Budi Susila Erwanto, Danang Fajar Yumono Floris Boogaard Gunawan . Hapsari, Jenny Putri Ida Widihastuti Ilham M Rusdiyanto Imam Much Ibnu Subroto Imam Rachmat Widodo Indra Ava Dianta Ismail, Munaf Jati, Budi Pramono Jenny Putri Hapsari Khoirudin, Irfan La Ode Muhamad Idris Luh Putu Ratna Sundari Luqman Assaffat Mohammad Ilham Adi Saputra Muhamad Haddin Muhammad Kevin Hardiansyah Muhammad Khoirun Faza Muhammad Khosyi'in Muhammad Khosyi’in Muhammad Rifky Aulia Munaf Ismail Munaf Ismail Munaf Ismail, Munaf Munawar A Riyadi Nur Azizah Maghfiroh Nuryanto Budisusila, Eka Pranoto Wibowo Raditya Rahmat Wijaya Riyadi, Munawar A Sauqie Fairoozy Firdaus Slamet Imam Wahyudi Sobri Bagasghani, Iqbal Suhartono Suhartono Suryani Alifah Syakhroni, Akhmad Tole Sutikno Widihastuti, Ida Yugiantoro, Darojat Zainuddin Nawawi