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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,226 Documents
 290   291   292   293   294 
Technology Content Analysis with Technometric Theory Approach to Improve Performance in Radiodiagnostic Installation Bambang Guruh Irianto; Abdul Rahman; Herry Andayani
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Installation Radiodiagnostic RSU Haji Surabaya facilitated some medical equipment for disease examinations  and have three  technology criteria: Examination by high technology equipment   (single-slice CT Scan), examination by intermediate equipment (General x-ray ≤ 300 mA / 125 KV) and examination by simple equipment  (Portable Dental x-ray ≤ 8 mA / 70 KV). When viewed in terms of revenue contribution to the Hospital, Radiodiagnostic Installation revenue from 2008 to 2012 has decreased continuously.  The aim of research for  measuring the contribution of each component technology: Tehnoware, Humanware, Inforware, and Orgaware on radiodiagnostic installation with the basic technometric theory approach  using indicator TCC (Technology Contribution Coefficien). The final results showed that a gap is almost evenly from the three technology components Humanware = 0519, Inforware = 0.538, orgaware = 0.534, but the gap is greatest in technology components Technoware = (0387, 0258, 0168), meaning that the strategy development units Radiodiagnostic  Installation prioritized to increase in aspect Technoware (rejuvenation medical equipment). DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7676
Study on Application of Quantum BP Neural Network to Curve Fitting Zhixia Zhang; Yanchang Liu; Jianping Xie
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Based on the Quantum mechanics in a Quantum phase-shifted door and two negates controlled both general door, using them as the basic unit composed of activation function neural Network, this paper puts forward a Quantum state with input and output of the Quantum neuron Quantum state model and three layers of Quantum BP neural Network model of Network learning algorithm and performance to carry on the thorough study. Experimental results show that compared with BP neural Network, QBP appears quickly learn and convergent effect, with better fitting ability than the BP neural Network. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3388 
Determination of the obesity prevalence and its associated factors among community in Selangor, Malaysia: an ordinal logistic regression approach Noraznie Nordin; Zalina Zahid; Zaliha Ismail; Siti Munira Yassin; Hapizah Mohd Nawawi; Siti Aida Sheikh Hussin
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp428-434

Abstract

Obesity is becoming an epidemic globally as it has been closely linked with a wide variety of chronic diseases. The identification of associated factors for obesity occurrences is still the main interest of many researchers. However, there has been extensive disagreement among researchers over possible factors associated with obesity which commonly involve the demographic factors, socioeconomic status (SES) and environmental factors. Biomarkers are also considered as important possible factors linked with the prevalence of obesity but investigations looking into their associations are still lacking. Therefore, it is important to examine factors that are associated with obesity using biomarkers and common factors to get detailed perspectives on obesity prevalence. The objectives of this study are to determine the prevalence of obesity and to examine the association between the common factors and biomarkers with obesity among community in Selangor, Malaysia. The results showed that the prevalence of obesity among participants was 49% (N=498) and Ordinal regression model with Cauchit built-in link function was the best fitted model to predict obesity. Meanwhile, three types of common factors (i.e. older age, being female and Malay ethnic) and one type of biomarker (i.e. high glucose level) were found to be significantly associated with obesity.
The Sharing Telecommunication Information Resources Management System Based on B/S model and GIS Hongren Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to reduce the repeated construction between telecom operators and telecom facilities, improve the utilization rate of telecom infrastructure, the use efficiency of earth ,the sources of energy and the consumption of raw materials, the protection of the natural environment and landscape, promote the sharing of telecom infrastructure. With the current telecom information highly integrated conditions, considering the current business models and business processes, establish centralized telecom infrastructure information platform, to strengthen the integration of resources monitoring and performance evaluation. On the analysis of the current situation and existing problems of domestic industry on the basis of this unit, combining with the management requirements, research and design based on B/S model and WebGIS the co-construction and sharing of information management system, this paper first demand analysis in this system, on the basis of the detailed design of the system are presented. The scheme is mainly includes: information release platform, basic information recorded: "base stations, utility, tower, computer room, room points, piping, rod way, transmission lines and stations nets" as the foundation object management, data query and statistics, the economic comparison, assessment rating, log monitoring, telecom infrastructure geographic information system (GIS) and other modules. The business management system will daily management work in network platform, solving day-to-day business management problems. Improve business processing efficiency, to change the current business processing mode, improving the business management level. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4800
Study on Partial Discharge Detection of 10kV XLPE Power Cable Zhang Weixia; Zhao Xianping; Zhao Shutao; Yu Hong; Wang Dada
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 7: November 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Partial discharge is a main factor which causes cross-linked polyethylene (XLPE) cable damaged. In order to research the Partial Discharge detecting methods of 10kV XLPE power cable, the electrostatic field is firstly simulated in order to analysis the electric filed at the distortion of the cable. According to the simulation mode, portable thermal infrared imager and ultraviolet imaging instrument is utilized to detect partial discharge of power cable terminals. The experimental results demonstrate that the use of ultraviolet imaging instrument to detect the location of defects is efficient and can observe corona photons; and thermal infrared imager can detect the temperature rising caused by Partial discharge. And this result also verified the simulation result that electric field concentration resulted in partial discharge. Test results also show that in short period of time partial discharge changes not much. This is mainly because the energy caused by PD does not accumulate so much in short time. That is contributing to the discovery of potential defects. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1577
Distributed Optimal Relay Selection in Wireless Sensor Networks Karthik R; Nagaraju J; Mahendra Vucha
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 1: July 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i1.pp71-74

Abstract

In wireless distributed sensor networks, one open problem is how to guarantee the reliable relay selection based on the quality of services diversity. To address this problem, we focus on the reliable adaptive relay selection approach and adaptive QoS supported algorithm, based on which we present a Markov chain model, in consideration of different packet states and error control algorithm assignment. The mathematical analyses and MATLAB simulation results show that the proposed relay selection approach could perform better in terms of saturation throughput, reliability, and energy efficiency, compared with the traditional approaches. More importantly, the quality of real-time multimedia streaming is improved significantly, in terms of decodable frame ratio and delay.
Real-virtual Monte Carlo simulation on impulse-momentum and collisions Wartono Wartono; Dwi Hartoyo; Nilasari Nilasari; John Rafafy Batlolona
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp7-14

Abstract

This study aims to determine the differences in scientific literacy of students who were given inquiry learning through a real-virtual Monte Carlo experiment with students who were given conventional learning. This study used quasi experimental design with pretest-posttest control group. The results showed that the ability of students who were taught by inquiry learning models through real-virtual Monte Carlo experiments had higher scientific literacy than those taught with conventional models, it also applied well to students with high and low initial abilities. The results of the average gain in scientific literacy scores also showed a higher value between students who studied with the inquiry model through a real-virtual Monte Carlo experiment with students who studied with conventional models. The novelty of this research is combining real and virtual activities become real-virtual Monte Carlo by using the inquiry learning model to improve students' scientific literacy.
Application of Designing Economic Mechanisms to Power Market - Part 1 Generation Side Power Market Design XIE Qingyang; ZHU Yonggang; YING Liming
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The paper studies on the core philosophy and algorithm of the designing economic mechanisms theory, a new algorithm of designing incentive compatible power market mechanisms is proposed, a generation side power market mechanism model which has features of inventive compatibility, informationally efficient and decentralized decision is constructed. The power market based on the designing economic mechanisms theory can lead to the Pareto Optimality of the resource allocation; meanwhile GENCOs are permitted to pursue profits maximization. The paper is in two parts. Part 1 focuses on the process of constructing a generation side power market competitive mechanism model based on the designing economic mechanisms theory. Part 2 presents the characteristic analysis of the generation side power market competitive mechanism. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2369
Obstacle aware delay optimized rectilinear steiner minimum tree routing Shyamala G; G R Prasad
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp640-652

Abstract

This work presents a method to solve the problem of constructing Rectilinear Steiner Minimum Tree (RSMT) for a group of pins in the presence of obstacles. In modern very large-scale integrated circuit (VLSI) designs, the obstacles, generally blocks the metal and the device layer. Therefore routing on top of blockage is a possible solution but buffers cannot be placed over the obstacle. Modern VLSI design OARSMT construction has long wire length, which results in signal violation. To address this issue a slew constraint interconnect need to be considered in routing over obstacle. This is called the Obstacle-Avoiding Rectilinear Steiner minimum trees (OARSMT) problem with slew constraints over obstacles. The drawback of traditional OARSMT is that they only consider slew constraint, and delay constraints are neglected. It induces high routing resources overhead due to buffer insertion and does not solve global routing solution. This work presents an Obstacle Aware Delay Optimized Rectilinear Steiner Minimum Tree (OADORSMT) Routing to address the delay, slew constraint and reduce the routing resources. Experiments are conduced to evaluate the performance of proposed approach over existing approach in term of wire length and worst negative slack. The experiments are conducted for small and large nets considering fixed and varied obstacles and outcome shows the proposed efficiency over existing approaches. The OADORSMT is designed in such a way where it can be parallelized to obtain better efficiency.
Optimal Feedback Control of Vehicle Vibration with Eight Degrees of Freedom Ali Hemati; Mehdi Tajdari; Ahmadreza Khoogar
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5217-5224

Abstract

In this paper the unfavorable body vibration of vehicles is compensated using direct feedback signals in an optimized manner. The parameter - optimization problem was gained through the second method of Liapunov. Moving vehicles bear unfavorable body vibration, especially in bumpy roads. Therefore, active control of this vibration seems attractive. Vertical vibration of the vehicle affects the driver's performance. In this paper an eight degrees of freedom dynamic vibration model of a general vehicle are developed through the designation of a closed-loop control system. A control system has been designed with efficient response which computes the feedback gains using the second method of Liapunov and it has been proven that appropriate comparison is obtained with this controller.

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