Article Per Year (5 Year)
p-Index From 2021 - 2026
2.495
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 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
Katherin Indriawati
Departemen Teknik Fisika Institut Teknologi Sepuluh Nopember
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Penyuluhan Pembuatan, Penggunaan, dan Perawatan Alat Ukur Kualitas Air Tambah untuk Meningkatkan Produksi Bandeng, di Desa Banjar Kemuning, Kecamatan Sedata, Kabupaten Sidoarjo Katherin Indriawati; Ya’umar; Bambang Lelono Widjiantoro; Mohmmad Kamalul Wafi; Ikma Lailatul Badriyah; Hanifa
Sewagati Vol 4 No 1 (2020)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.225 KB)

Abstract

Salah satu daerah di Kabupaten Sidoarjo yang memiliki area tambak yang luas adalah Kecamatan Sedati. Dengan luasnya wilayah tambak di kecamatan tersebut, berdampak pada sebagian besar masyarakatnya yang bermatapencaharian sebagai petani tambak yang jumlahnya mencapai 1083 orang. Desa Banjarkemuning sebagai salah satu desa dengan potensi akan hasil laut dan hasil tambak yang diperoleh dari kegiatan sehari-hari masyarakatnya. Komoditias hasil utama pertambakan desa ini adalah ikan bandeng. Namun, sejumlah 90% pengelolaan tambak masih dilakukan secara tradisional. Terdapat berbagai permasalahan dalam mengembangkan tambak tradisional yaitu masalah cuaca, teknologi, dan penanganan. Salah satu aspek yang perlu diperhatikan dalam sistem pengolahan tambak adalah kualitas air tambak. Hasil kualitas air tambak akan mempengaruhi keberlangsungan hidup organisme di dalamnya antara lain. Beberapa parameter untuk mengontrol kualitas air tambak yaitu kadar garam (salinitas), derajat keasaman (pH), oksigen terlarut (DO), temperatur, kekeruhan, amonia, dan sebagainya. Untuk menunjang keberhasilan pemeliharaan bandeng, maka parameter-parameter tersebut perlu diketahui dan diatur melalui sebuah alat monitoring. Alat dibuat dengan menggunakan sensor suhu dan elektroda karbon sebagai sensing element, kemudian hasil pembacaan dikontrol oleh mikrokontroler untuk dijadikan acuan munculnya indikator oleh LED. Berdasarkan evaluasi keseluruhan, penyuluhan dilakukan dengan baik dan alat tersebut membawa manfaat bagi petani tambak untuk memonitoring kualitas air tambaknya.
Non-Linear Estimation using the Weighted Average Consensus-Based Unscented Filtering for Various Vehicles Dynamics towards Autonomous Sensorless Design Widjiantoro, Bambang L.; Wafi, Moh Kamalul; Indriawati, Katherin
Journal of Robotics and Control (JRC) Vol 4, No 1 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i1.16164

Abstract

The concerns to autonomous vehicles have been becoming more intriguing in coping with the more environmentally dynamics non-linear systems under some constraints and disturbances. These vehicles connect not only to the self-instruments yet to the neighborhoods components, making the diverse interconnected communications which should be handled locally to ease the computation and to fasten the decision. To deal with those interconnected networks, the distributed estimation to reach the untouched states, pursuing sensorless design, is approached, initiated by the construction of the modified pseudo measurement which, due to approximation, led to the weighted average consensus calculation within unscented filtering along with the bounded estimation errors. Moreover, the tested vehicles are also associated to certain robust control scenarios subject to noise and disturbance with some stability analysis to ensure the usage of the proposed estimation algorithm. The numerical instances are presented along with the performances of the control and estimation method. The results affirms the effectiveness of the method with limited error deviation compared to the other centralized and distributed filtering. Beyond these, the further research would be the directed sensorless design and fault-tolerant learning control subject to faults to negate the failures.
Model reference adaptive control of networked systems with state and input delays Wafi, Moh Kamalul; Indriawati, Katherin; Widjiantoro, Bambang L.
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp5055-5063

Abstract

Adaptive control strategies have been developed in response to more advanced complex systems and to deal with uncertain systems while maintaining the desired conditions. This paper addresses the networked unknown and unstable heterogeneous systems following a stable reference (leader), which is related to network synchronization. We deliver two different scenarios; each agent both fully communicates to the leader and shares communication among neighborhood agents and the leader. The communication among agents and the leader are weighted using Laplacian-like matrix and the model weight matrix in turn. Also, the state and input delays are induced to the systems to capture the real limited communication while the prediction of the reference signals and the augmented systems are proposed to deal with them. Moreover, the rigorous mathematical foundations of two adaptive laws, the stability analysis, the threshold of network, and the communication network are thoroughly presented. Also, the numerical illustrations of the two scenarios are given to show the effectiveness of the proposed method in the networked system. The results show that for both scenarios working on the required setting, the perfect tracking to the leader is guaranteed. Beyond that, the future research would implement the distributed adaptive control-oriented learning of networked system under some faults.
New disturbance observer-based speed estimator for induction motor Indriawati, Katherin; Pandu Wijaya, Febry; Mufit, Choirul
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp3510-3522

Abstract

This paper discusses a novel disturbance observer designed as an estimator to determine the rotor speed of an induction motor. This observer is a solution to obtain a simple structure with a small number of compact observer gains. Furthermore, the adaptation law is no longer required to estimate induction motor speed values. This is a machine model-based computation method that uses a stationary reference frame. The nonlinearity problem is solved using an additional state vector in the observer model, which is known as an extended state observer. This approach easily and systematically determines the observer gain by applying the linear quadratic regulator (LQR) method, thereby avoiding time-consuming trial errors. The proposed observer, which was presented in both continuous and discrete forms, was tested using a sensorless V/f- controlled induction motor. The simulation results show that the proposed observer can accurately estimate all states, namely, the rotor flux and stator current; therefore, the proposed estimator provides the speed and electromagnetic torque for a wide operational range of speeds and load torques. It was also shown that the proposed observer was robust to noise and uncertainty in induction motor parameters.
Design of Predictive Control System for Lane Change in Autonomous Vehicle Mega Permatasari, Shervind Maharani; Widjiantoro, Bambang Lelono; Indriawati, Katherin
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 6 No. 1 (2024): May 2024
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/ijair.v6i1.8141

Abstract

The automobile business is introducing a lot of autonomous vehicles in the modern day. Lane changes are one of the most complicated urban scenarios in which autonomous vehicles are used. Self-driving automobiles must thus interact with human-driven vehicles in a certain way. In this work, we concentrate on the autonomous vehicle's lane-changing control system for obstacle avoidance. This study employs a predictive control system as its methodology. The vehicle's next movements can be predicted by this control system. The vehicle's position, which is adjusted by the steering angle, is the controllable variable. The vehicle's position, which is adjusted by the steering angle, is the controllable variable. It is clear from the numerical simulation results that the predictive control system executes control actions on lane changes correctly, avoiding collisions with the running vehicle obstacles. RMSE (Root-Mean Square Error) is a performance metric that is derived from the difference between the vehicle's lateral position and the reference trajectory value. The RMSE of the planned predictive control is 0.9681.
PCA and Health Indicators: Predicting Machine Failures Through Resistance Analysis Hartati, Ayu Dian; Indriawati, Katherin; Sitepu, Simion
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 6 No. 2 (2024): November 2024
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/ijair.v6i2.8496

Abstract

Predictive maintenance is crucial for ensuring industrial equipment's reliability and operational efficiency. This research aims to develop accurate health indicators to monitor real-time equipment conditions based on current signals. The methodology involves several key stages: collection of degradation data in current signals, data processing and mining, analysis using Principal Component Analysis (PCA), and development of health indicators. This study presents a comprehensive approach to converting raw degradation data into meaningful health indicators for effective engine prognostics and health management (PHM). Leveraging current signal data, we apply data mining and processing techniques to extract statistically significant features, including Standard Deviation, Peak to Peak, Root Mean Square (RMS), Crest Factor, Impulse Factor, Margin Factor, and Kurtosis. PCA is then used to reduce the dimensionality of the processed data, highlighting the principal components that capture the most significant variance indicating the machine's health. The resulting health indicators, derived from PCA, show a clear correlation between changes in additional load and increasing trends of PCA components and health indicators, thus validating the effectiveness of this approach in monitoring and predicting machine conditions. This methodology provides a robust real-time machine health assessment framework, facilitating timely maintenance and reducing the risk of unexpected failures. The results show that increasing resistance over time (t) leads to improved health indicators in a nonlinear manner, providing valuable insights for timely intervention before critical failure occurs. This analysis demonstrates a strong correlation between daily incremental resistance changes and machine condition as monitored by PCA and health indicators. Consistent upward trends in PCA scores and health indicators validate the effectiveness of this technique in tracking engine health under varying resistance conditions.
Performance Analysis of PID and SMC Control Algorithms on AUV under the Influence of Internal Solitary Wave in the Bali Deep Sea Wahyuadnyana, Kadek Dwi; Indriawati, Katherin; Darwito, Purwadi Agus; Aufa, Ardyas Nur; Tnunay, Hilton
Journal of Robotics and Control (JRC) Vol. 5 No. 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.23800

Abstract

Autonomous Underwater Vehicles (AUVs) play a crucial role in deep-sea exploration, but their stability is often compromised by Internal Solitary Waves (ISWs) and nonlinear disturbances in stratified waters. This study aims to evaluate the performance of two control algorithms, Proportional-Integral-Derivative (PID) and Sliding Mode Control (SMC), in mitigating ISW effects on AUV trajectory tracking. Simulations were conducted in Simulink (MATLAB), modeling AUV dynamics under ISW disturbances with intensities ranging from 0% to 100%. The results reveal that both PID and SMC algorithms experience significant performance degradation as ISW intensity increases, with Root Mean Square Error (RMSE) values rising exponentially between 50% and 75% disturbance levels. While SMC offers better resilience to nonlinear disturbances than PID, neither algorithm fully compensates for high ISW intensities. These findings highlight the limitations of conventional control strategies and underscore the need for more robust, adaptive algorithms for reliable deep-sea AUV operations. Future work will explore Nonlinear Model Predictive Control (NMPC) for improved stability in complex marine environments.
Development of operation strategy for PV- fuel cell hybrid power system to maximize efficiency and minimize stress Indriawati, Katherin; Nawangsih, Nawangsih; Ekatiara, Cindy Reviko
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1219-1229

Abstract

This study explores the development of an energy management strategy (EMS) using a modified external energy management strategy (EEMS) for a hybrid PV-fuel cell power system. The primary aim was to address efficiency challenges and reduce the premature aging of fuel cells, batteries, and supercapacitors (SCs) caused by excessive stress. Incorporating photovoltaic (PV) energy as an additional renewable energy source (RES) has proven to improve the efficiency of the hybrid system. The EEMS-based strategy reduces hydrogen consumption by prioritizing the energy supply from the battery and SC. However, the traditional EEMS approach introduces chattering phenomena that can negatively impact system lifespan. By modifying the EEMS optimization problem, the modified EEMS effectively mitigates chattering, maintaining the battery's state of charge (SOC) and the DC bus voltage within specified ranges, while also reducing stress on the battery and SC. The results demonstrate a significant enhancement in both system performance and efficiency.
Advancing Fault Diagnosis for Parallel Misalignment Detection in Induction Motors Based on Convolutional Neural Networks Rahmawan, Hanif Adi; Widjianto, Bambang Lelono; Indriawati, Katherin; Ariefianto, Rizki Mendung
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 2 (2023)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i2.1655

Abstract

Maintenance of machines is highly necessary to prolong the operational lifespan of induction motors. Prioritizing preventive measures is crucial in order to prevent more significant damage to the machinery. One of these measures includes detecting abnormalities, such as misalignment, in the motor shaft. This research is aimed to detect the misalignment of induction motor experimentally by varying the coupling between normal and parallel misalignment. The signal readings were analyzed in the frequency domain using Fast Fourier Transform (FFT). The results revealed that in the case of coupling misalignment, a peak appeared at f = 13.5 Hz, whereas in the parallel misalignment condition with a 1 cm misalignment, a peak was found at f+fr = 20 Hz. By utilizing the Convolutional Neural Network (CNN) system, normal and parallel conditions can be detected with an accuracy level of 87.5%.
PID PATH FOLLOWING CONTROL SYSTEM DESIGN ON UNMANNED AUTONOMOUS FORKLIFT PROTOTYPE Herlambang, Teguh; Indriawati, Katherin; Akbar, Reza Maliki; Nurhadi, Hendro
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2093-2112

Abstract

One of the technologies often used in material handling and material transport is forklift. Conventionally forklifts are operated by human operators. For efficiency, to improve security, safety, and occupational health and to minimize the risk of operators, forklifts can be automated. Therefore, the idea of unmanned autonomous forklift innovation was introduced. In this final project, a motion control system was designed for an unmanned autonomous forklift prototype both in simulation and hardware using PID control techniques, and the odometry system was equipped with a rotary encoder. In the simulation, the controlled variable was the distance and the manipulated variable was the force on the vehicle. Meanwhile, in the prototype, the controlled variable was distance and the manipulated variable was the motor pulse. In the simulation stage the PID control parameters were applied . with an error of 0.32% in the simulation. The PID control parameters were applied to the prototype, that is, . The distance tests were done with variation of 50 cm to 200 cm (25 cm intervals). One variation of the distance experiment was done 5 times. The average absolute error resulted was 2.36 cm.
Co-Authors Achmad Jazidie Agustiyanto, Frans R Akbar, Reza Maliki Akhmad Ibnu Hija Alfian Pramudita Putra Ama, Fadli Andri Haris Setyawan 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 Nurhadi Hilton Tnunay, Hilton Ikma Lailatul Badriyah Ikma Lailatul Badriyah 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 Rahmawan, Hanif Adi Ruri Agung Wahyuono Salma Qotrunnada Sitepu, Simion Suyanto, Suyanto Syahrul Munir Syamsul Arifin Teguh Herlambang Trihastuti Agustinah Tulus Indra Hermawan Usamah, Shofi Afghania Wafi, Moh Kamalul Wahyuadnyana, Kadek Dwi Widjianto, Bambang Lelono Widjiantoro, Bambang L. Yaumar Yaumar Ya’umar