Article Per Year (5 Year)
p-Index From 2021 - 2026
2.957
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) Jurnal Teknik ITS IPTEK The Journal of Engineering IPTEK Journal of Proceedings Series Jurnal EECCIS Proceeding of the Electrical Engineering Computer Science and Informatics BAREKENG: Jurnal Ilmu Matematika dan Terapan Indonesian Physical Review JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science International Journal of Artificial Intelligence and Robotics (IJAIR) Sewagati Jurnal Geosaintek
Katherin Indriawati
Departemen Teknik Fisika Institut Teknologi Sepuluh Nopember
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Comparative analysis of Cohen-Coon and Ziegler-Nichols tuning methods for three-phase induction motor with speed sensorless control Halim, Christian Vieri; Indriawati, Katherin
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp885-895

Abstract

The use of speed sensors in the speed controller of three-phase induction motors affects the reliability of the induction motors. In addition, the drive engine that is often used in industry is a three-phase induction motor. So, speed sensorless control is needed for induction motors to achieve the best performance. This study uses a discrete disturbance observer (D0) as feedback on the speed sensorless control. The controller used in this method is a discrete PI with the Cohen-Coon (CC) and Ziegler-Nichols (ZN) tuning method. The purpose of this study is to obtain a comparative analysis of the CC and ziegler nichols tuning method using a discrete PI on the speed sensorless control scheme with torque load variation. This study was carried out experimentally using an Alliance AY3A-90L4 induction motor. The results show that the CC tuning method is better under parameter efficiency and robustness against disturbance and ZN is better under parameter reliability.
THE APPLICATION OF PLASTIC FIBER OPTIC SENSOR AS BLOOD PRESSURE MONITORING Ama, Fadli; Hatta, Agus Muhamad; Indriawati, Katherin; Agustiyanto, Frans R; Usamah, Shofi Afghania; Putra, Alfian Pramudita; Perkasa, Sigit Dani
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.395

Abstract

Continuous blood pressure monitoring is essential for early hypertension prevention and cardiovascular disease diagnosis. Traditional methods are unsuitable for long-term use due to discomfort and limited portability. This study presents a tapered plastic fiber optical sensor (PFOS) as a sustainable, non-invasive solution for continuous monitoring. The PFOS system employs a light modulator based on mechanical waves to detect arterial pressure changes, utilizing an infrared light source (940 nm). The cuffless design includes four configurations: Bend, Bend with 1 Scratch, Bend with 3 Scratches, and Straight with 3 Scratches. The Bend with 1 Scratch configuration demonstrated superior performance, achieving 99.84% accuracy, a mean absolute error (MAE) of 0.1564, a linearity of 0.9999, and a sensitivity of 2.9997 Hz/dBm. Experimental validation involved testing radial and brachial arteries. Blood pressure estimates from Pulse Transit Time (PTT) were compared to a standard sphygmomanometer. On the radial artery, the Bend with 1 Scratch configuration achieved the best results, with the lowest MAE (1.72 for SBP, 2.39 for DBP) and highest accuracy (98.30% for SBP, 96.56% for DBP). The Straight with 3 Scratches configuration performed best on the brachial artery, with an MAE of 2.81 for SBP and 5.11 for DBP, and accuracies of 97.21% for SBP and 92.67% for DBP. The PFOS system offers a promising option for continuous monitoring in clinical and home settings.  
Fault Tolerant Control on Wind Turbine Speed Control Based on Bias Fault Estimation Method with Optimization l_0 Norm Constraint Putri Yeni Aisyah; Katherin Indriawati
IPTEK The Journal of Engineering Vol. 7 No. 2 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v7i2.a9033

Abstract

The availability of onshore wind power plant systems (PLTB) reaches 98 percent, but the maintenance costs required are still very high for the wind turbine generator system. Meanwhile, the availability of offshore PLTB is decreased by 60 percent due to the main cause of damage to some components in wind turbine systems. This study proposes the use of fault estimation methods of wind turbine system components in fault tolerant control (FTC) strategy. The error estimation method is built using the l0 norm constraint optimization. The optimization formulation with l0 norm constraint is derived by applying the compressed sensing technique so that the estimation of the bias error can be used to estimate the error of several components by a single observer. This answers the observability issues encountered in single observer use cases. The proposed implementation of observers with the FTC results in better response characteristics when compared to systems without FTC. Response characteristics on actuator errors of 0.3 to 1.3 per unit, system with observers resulting in a maximum undershoot value of 0.4 to 1 percent while systems without observers resulting in a maximum undershoot value of 6.2 to 26.4 percent. The characteristics of the response with the observer on sensor errors resulting 0.3 to 1.3 per unit resulting in value of 1.6 to 4 percent, 0 percent and 63.9 to 70.7 seconds. System without observers, with sensor errors of 0.3 to 1.3 per unit resulting in maximum undershoot, steady state error and settling time of 6.2 to 26.2 percent, 6.2 to 26.4 percent, and 0 seconds.
SEISMIC SITE QUALITY ASSESSMENT IN NORTH SUMATRA USING SPECTRAL DENSITY ANALYSIS AND MACHINE LEARNING-BASED CLUSTERING Triya Fachriyeni; Katherin Indriawati; Kevin W. Pakpahan; Irfan Rifani; Anne M. M. Sirait; Yusran Asnawi; Hendro Nugroho; Andrean V. H. Simanjuntak
Jurnal Geosaintek Vol. 11 No. 3 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v11i3.8972

Abstract

Seismic noise strongly influences the accuracy and reliability of earthquake monitoring, particularly in tectonically active regions such as North Sumatra. This study investigates the quality of seismic stations by analyzing noise characteristics using Power Spectral Density (PSD), Probability Density Functions (PDFs), and machine learning clustering. PSD was computed through the Fast Fourier Transform (FFT) and compared against the New High Noise Model (NHNM) and New Low Noise Model (NLNM) benchmarks. Noise variability was further quantified using PDFs, while fuzzy c-means (FCM) clustering was applied to classify temporal noise patterns. Results from the MUTSI seismic station demonstrate strong diurnal and weekly variability, with horizontal components (SHE and SHN) exhibiting significantly higher noise levels and fluctuations than the vertical component (SHZ). Noise amplitudes peaked during morning hours (06:00–09:00 UTC), correlating with anthropogenic activity, and decreased substantially at night, indicating that optimal recording conditions occur during late evening to early morning. FCM clustering identified five dominant noise regimes, separating stable low-noise baselines from sporadic high-noise anomalies likely associated with human activity or instrumental disturbances. These findings highlight the importance of integrating spectral analysis with clustering techniques to evaluate seismic station performance, improve real-time monitoring, and guide optimal site selection and operational scheduling for earthquake detection.
Co-Authors Achmad Jazidie Agustiyanto, Frans R Akbar, Reza Maliki Akhmad Ibnu Hija Alfian Pramudita Putra Ama, Fadli Andrean V. H. Simanjuntak Andri Haris Setyawan Anne M. M. Sirait Ariefianto, Rizki Mendung Aufa, Ardyas Nur Aulia Siti Aisjah Bambang L. Widjiantoro Bambang Lelono Widjiantoro Bambang Lelono Widjiantoro Dea Faiza Febrianty Detak Yan Pratama Ekatiara, Cindy Reviko Febry Pandu Wijaya Fikri Nurhidayat Gregorius Kevin Halim, Christian Vieri Hanifa Hanifa Hanifa Hartati, Ayu Dian Hatta, Agus Muhamad Hendro Nugroho Hendro Nurhadi Hilton Tnunay, Hilton Ikma Lailatul Badriyah Ikma Lailatul Badriyah Irfan Rifani Kevin W. Pakpahan Kurnia Ma'rifatin Pebriningtyas Luthfansyah Mohammad Mega Permatasari, Shervind Maharani Mohammad Harwin Prayoga Mohammad Kamalul Wafi Mohammad Kamalul Wafi Mohmmad Kamalul Wafi Mufit, Choirul Muhammad Khamim Asyari Musyafa’, Ali Nawangsih, Nawangsih Ontoseno Penangsang Pandu Wijaya, Febry Perkasa, Sigit Dani Purwadi Agus Darwito Putri Yeni Aisyah Rahmawan, Hanif Adi Ruri Agung Wahyuono Salma Qotrunnada Sitepu, Simion Suyanto, Suyanto Syahrul Munir Syamsul Arifin Teguh Herlambang Trihastuti Agustinah Triya Fachriyeni Tulus Indra Hermawan Usamah, Shofi Afghania Wafi, Moh Kamalul Wahyuadnyana, Kadek Dwi Widjianto, Bambang Lelono Widjiantoro, Bambang L. Yaumar Yaumar Ya’umar Yusran Asnawi