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Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)
Published by Universitas Ahmad Dahlan
ISSN : 23383070     EISSN : 23383062     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
JITEKI (Jurnal Ilmiah Teknik Elektro Komputer dan Informatika) is a peer-reviewed, scientific journal published by Universitas Ahmad Dahlan (UAD) in collaboration with Institute of Advanced Engineering and Science (IAES). The aim of this journal scope is 1) Control and Automation, 2) Electrical (power), 3) Signal Processing, 4) Computing and Informatics, generally or on specific issues, etc.
Arjuna Subject : -
Articles 503 Documents
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Distance Functions Study in Fuzzy C-Means Core and Reduct Clustering Joko Eliyanto; Sugiyarto Surono
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20516

Abstract

Fuzzy C-Means is a distance-based clustering process which applied by fuzzy logic concept. Clustering process worked in linear to the iteration process to minimizing the objective function. The objective function is an addition of the multiplication between the coordinates distance towards their closest cluster centroid and their membership degree. The more the iteration process, the objective function should get lower and lower. The objective of this research is to observe whether the distances which usually applied are able to fulfill the aforementioned hypothesis for determining the most suitable distance for Fuzzy C-Means clustering application. Few distance function was applied in the same dataset. 5 standard datasets and 2 random datasets were used to test the fuzzy c-means clustering performance with the 7 different distance function. Accuracy, purity, and Rand Index also applied to measure the quality of the resulted cluster. The observation result depicted that the distance function which resulted in the best quality of clusters are Euclidean, Average, Manhattan, Minkowski, Minkowski-Chebisev, and Canberra distance. These 6 distances were able to fulfill the basic hypothesis of the objective function behavior on Fuzzy C-Means Clustering method. The only distance who were not able to fulfill the basic hypothesis is Chebisev distance.
Using Unlabeled Data Set for Mining Knowledge from DDB Azhar F. Hassan
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20164

Abstract

In this paper, two algorithms were introduced to describe two algorithms to describe and compare the applying of the proposed technique in the two types of the distributed database system. The First Proposed Algorithm is Homogeneous Distributed Clustering for Classification (HOMDC4C), which aim to learn a classification model from unlabeled datasets distributed homogenously over the network, this is done by building a local clustering model on the datasets distributed over three sites in the network and then build a local classification model based on labeled data that produce from clustering model. In the one computer considered as a control computer, we build a global classification model and then use this model in the future predictive. The Second Proposed Algorithm in Heterogeneous Distributed Clustering for Classification (HETDC4C) aims to build a classification model over unlabeled datasets distributed heterogeneously over sites of the network, the datasets in this algorithm collected in one central computer and then build the clustering model and then classification model. The objective of this work is to use the unlabeled data to introduce a set of labeled data that are useful for build a classification model that can predict any unlabeled instance based on that classification model. This was done by using the Clustering for Classification technique. Then presented this technique in distributed database environment to reduce the execution time and storage space that is required.
Realtime IoT based Harmonics Monitoring System Review with Potential Low-Cost Devices with Experimental Case Study Purnomo Purnomo; Aripriharta Aripriharta; Anik Nur Handayani; Rini Nur Hasanah; Norzanah Rosmin; Gwo-Jiun Horng
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 2 (2021): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i2.21166

Abstract

This paper presents a harmonic analyzer that used IoT and smart apps for low-cost and portable solutions. We contribute a short review of harmonics measurement methods and experimental approaches for monitoring harmonics using an IoT-based system. The proposed device was built from a current sensor, a voltage sensor, and a microcontroller with an IoT transmitter which is integrated with Matlab© cloud and smart apps (android). In specific, we experimented with testing and validated our proposal using the standard instrument under a fair treatment. The measurement scenario was taken on the point of comment coupling in the building campus for 5 to 10 minutes of each comparable instrument. Based on experimental results, the proposed device could monitor the harmonics profile drawn by the loads in the building campus. The trade-off between cost and performance is founded as the truth that it takes about 1 minute to update the harmonics data. Furthermore, the average error of THDV is 5.7%, and THDI is 4.7% which is higher than the expensive instrument. These values are acceptable based on IEEE standards.  Besides, it could monitor harmonics in real-time through an android application which is easy to use and portable. In addition, the cost of making the proposed device is cheap compared to the price of the standard instruments in the market.
Software Phase Correction Technique for Passive Radar Paulo AC Marques
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 2 (2020): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v6i2.18969

Abstract

A traditional radar actively transmits pulses and receive the corresponding echoes. By computing the time taken to receive the echoes the system is able to detect targets and estimate their ranges. However, mainly for military applications, an active radar has a major drawback: it can be detected by the enemy since it radiates electromagnetic pulses. As such, there is currently high research and development activity in the field of passive radar systems. In this alternative scenario, the radar does transmit any signal. Instead, it uses signals already present in the environment, such as TV, radio broadcasts and satellite digital video broadcast as transmitters of opportunity. By measuring the time difference between the signal received by the transmitter of opportunity and the signal echoed by the targets, the radar can detect targets and estimate their ranges. In scenarios which use very low power illuminators of opportunity, such as satellite DVB-S or GPS, relatively long integration times are required in order to obtain reasonable values of signal to noise ratio. This implies that, besides frequency correction, the coherency of local oscillators in the receivers need to be maintained during long time intervals, which can be very difficult. The paper presents a novel phase correction technique for passive radar which uses targets of opportunity, already present in the target area, as references to maintain the coherency of the oscillators for all the integration interval. The proposed methodology is quite simple and enables the use of low-cost hardware with independent oscillators for the reference and surveillance channels which can be geographically distributed. The obtained results illustrate the effectiveness and applicability of the method.
Optimization of Distributed Generation Placement and Capacity Using Flower Pollination Algorithm Method Jimmy Trio Putra; Istiqomah Istiqomah; Syahrial Shaddiq; Agus Diantoro
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20586

Abstract

The need for energy, especially electricity is increasing along with the development of technology. An increase in electrical load and the location of the powerplant far causes voltage drops and causes power line losses. One solution can be chosen by adding a distributed generation (DG) to the distribution network. This study aims to enhance the voltage profile and reduce power losses based on the optimal placement and capacity of DG-based photovoltaic (PV) in the Bantul Feeder 05 distribution network. The flower pollination algorithm (FPA) method is used to determine the optimal DG placement and capacity. The study was conducted using three additional DG scenarios, namely scenario 1 with single DG and scenario 2 with multi-DG (2 DG and 3 DG). The results showed that the optimal placement and capacity of DG were on buses 9, 19, and 33 with DG sizes of 1.880 kW, 2.550 kW, and 2.300 kW, respectively. This placement can increase the voltage profile and reduce the active power loss from 439.8 kW to 77.5 kW. The research also considers the increase in the reliability of the distribution system observe by the energy not supplied and cost of energy not supplied index.
Development of Integrated Portable Device and Mobile Apps for Homecare System: Body Temperature and Respiration Rate Edgina Honesta; Agung W. Setiawan
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20504

Abstract

A Homecare system is a system that collects patient’ vital signs and health information. Vital signs abnormalities appear several hours before the patient health quality decrease. Therefore, the home care system can be applied to prevent chronic diseases. It is estimated that 25% of chronic disease patients can be prevented by checking vital signs regularly. In this research, an Android-based portable product development that integrates measurements of body temperature and respiration rate is developed. Body temperature will be detected by an infrared temperature sensor. A thermistor will be used to calculate the respiration rate. A thermistor is a resistor whose resistance is dependent on temperature. The accuracy achieved by body temperature measurement is 84% with ±1.37% precision. The accuracy achieved by the respiration rate measurement is 98% with ±3.98% precision. The two gauges are integrated into the microcomputer with a serial communication channel. And then, the measurement results that have been processed on the microcomputer are sent to Android using Bluetooth. Measurement results can be displayed and saved on the Android application. Product portability parameters are measured by weight, size, durability, and power supply. The power supply for this system uses a power bank where the measuring system can be turned on for 3 hours. This research can be applied to a homecare system that collects patients’ vital signs and health information.
Grey Scale Image Multi-Thresholding Using Moth-Flame Algorithm and Tsallis Entropy Seifedine Kadry; Venkatesan Rajinikanth
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 2 (2020): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v6i2.19168

Abstract

In the current era, image evaluations play a foremost role in a variety of domains, where the processing of digital images is essential to identify vital information. The image multi-thresholding is a vital image pre-processing field in which the available digital image is enhanced by grouping similar pixel values. Normally, the digital test images are available in RGB/greyscale format and the appropriate processing methodology is essential to treat the images with a chosen methodology. In the proposed approach, Tsallis Entropy (TE) supported multi-level thresholding is planned for the benchmark greyscale imagery of dimension 512x512x1 pixels using a chosen threshold values (T=2,3,4,5). This work suggests the possible Cost Value (CV) that can be considered during the optimization search and the proposed work is executed by considering the maximization of the TE as the CV. The entire thresholding task is executed using Moth-Flame Algorithm (MFA) and the accomplished results are validated based on the image quality measures of various thresholds. The attained result with MFO is better compared to the result of CS, BFO, PSO, and GA.
Analysis of Random Forest, Multiple Regression, and Backpropagation Methods in Predicting Apartment Price Index in Indonesia I NYM Yoga Saputra; Siti Saadah; Prasti Eko Yunanto
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 2 (2021): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i2.20997

Abstract

This study focuses on predicting the apartment price index in Indonesia using property survey data from Bank Indonesia. In the era of the Covid-19 pandemic, accurately predicting the sale and purchase price of apartments is essential to minimize the impact of losses, thus making apartment prices attractive to predict. The machine learning approach used to predict the apartment price index are the Random Forest method, the Multiple Regression method, and the Backpropagation method. This study aims to determine which method is more effective in predicting small amounts of data accuracy. The data used is apartment price index data from 2012 to 2019 in the JABODEBEK area. The research will produce prediction accuracy that will determine the effectiveness of the application of the method. The Random Forest method with parameters n_estimators=100 and max_features=”log2” produces an R2 accuracy of 0.977. The Multiple Regression method with a correlation between the selling price and rental price variables is 0.746, and the rental inflation variable is 0.042 produces an R2 accuracy of 0.559. The Backpropagation method with a 1000-4000-1 hidden scheme and 20000 iterations produces an R2 accuracy of 0.996. Therefore, the Backpropagation method is more suitable in this study compared to the other two methods. The Backpropagation method is suitable because it gets almost perfect accuracy, so this method will minimize losses in investing in buying and selling apartments in the Covid-19 pandemic era.
Some Permanent Magnet Synchronous Motor (PMSM) Sensorless Control Methods based on Operation Speed Area Bernadeta Wuri Harini
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20519

Abstract

This paper compares some sensorless Permanent Magnet Synchronous Motor (PMSM) controls for driving an electric vehicle in terms of operating speed. Sensorless control is a type of control method in which sensors, such as speed and position sensors, are not used to measure controlled variables.  The controlled variable value is estimated from the stator current measurement. Sensorless control performance is not as good as a sensor-based system. This paper aims are to recommend a control method for the PMSM sensorless controls that would be used to drive an electric vehicle. The methods that we will discuss are divided into four categories based on the operation speed area.  They are a startup, low speed, high speed, and low and high-speed areas. The low and high-speed area will be divided into with and without switching.  If PMSM more work at high speed, the most speed area that is used, we prefer to choose the method that works at high speed, that is, the modification or combination of two or more conventional methods.
Design and Implementation of a Smart, Interactive and Portable System for Monitoring of Human Vital Signs Haider Ismael Shahadi; Maha Khalid Kadhim; Nawal Mousa Almeyali; Ali Thamir Hadi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20209

Abstract

Smart systems are characterized by their efficiency, high accuracy, and cost reduction. One of the important fields in which the smart system is used is health care, especially monitoring of human vital signs. In general, the conventional patient monitor is expensive, cannot be used for remote monitoring, and non-interactive. In many situations, it requires remote and portable monitoring for patients, such as in case of the area is outside the medical services, infected diseases (e.g., COVID-19, 20), and difficulties of a patient transferred. This paper proposes a smart, interactive, and portable monitor for vital human signs based on the internet of things (IoT). The proposed monitor is cheap and easy to use either directly by doctors and nurses or remotely by any person. The proposed system is designed using ESP32-microcontroller and vital-sign sensors. It measures three important vital signs, including heart rate, body temperature, and Electrocardiography (ECG), as well as the environment temperature of the patient. The measured signs can be monitored from anywhere in the world through a smartphone application in real-time. Furthermore, the doctor can send instructions and descriptions to the patients in real-time using the same phone application that is designed in this work.Smart systems are characterized by their efficiency, high accuracy, and cost reduction. One of the important fields in which the smart system is used is health care, especially monitoring of human vital signs. In general, the conventional patient monitor is expensive, cannot be used for remote monitoring, and non-interactive. In many situations, it requires remote and portable monitoring for patients, such as in case of the area is outside the medical services, infected diseases (e.g., COVID-19, 20), and difficulties of a patient transferred. This paper proposes a smart, interactive, and portable monitor for vital human signs based on the internet of things (IoT). The proposed monitor is cheap and easy to use either directly by doctors and nurses or remotely by any person. The proposed system is designed using ESP32-microcontroller and vital-sign sensors. It measures three important vital signs, including heart rate, body temperature, and Electrocardiography (ECG), as well as the environment temperature of the patient. The measured signs can be monitored from anywhere in the world through a smartphone application in real-time. Furthermore, the doctor can send instructions and descriptions to the patients in real-time using the same phone application that is designed in this work.

Page 12 of 51 | Total Record : 503

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