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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 9,174 Documents
 38   39   40   41   42 
Implementation of Low-level Driver Interface for A CPU Card Feng Luo; Fengjian Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In order to develop an automotive digital tachograph, a Central Processing Unit Card (CPU Card) interface IC is designed and implemented. The purpose of this paper is to present a driver proposal on the basis of a CPU card interface IC NCN6804. Under the platform of a Freescale’s microcontroller MPC5607B, the low-level driver interface is detailed both in hardware and software.  The test result shows that this low-level driver proposal can meet the operation demands of CPU cards, and this method is effective, especially in automotive applications. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1909
Modified BPNN via Iterated Least Median Squares, Particle Swarm Optimization and Firefly Algorithm Nor Azura Md. Ghani; Saadi bin Ahmad Kamaruddin; Norazan Mohamed Ramli; Ismail Musirin; Hishamuddin Hashim
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp779-786

Abstract

There is doubtlessly manufactured artificial neural system (ANN) is a standout amongst the most acclaimed all-inclusive approximators, and has been executed in numerous fields. This is because of its capacity to naturally take in any example with no earlier suppositions and loss of all inclusive statement. ANNs have contributed fundamentally towards time arrangement expectation field, yet the nearness of exceptions that normally happen in the time arrangement information may dirty the system preparing information. Hypothetically, the most widely recognized calculation to prepare the system is the backpropagation (BP) calculation which depends on the minimization of the common ordinary least squares (OLS) estimator as far as mean squared error (MSE). Be that as it may, this calculation is not absolutely strong within the sight of exceptions and may bring about the bogus forecast of future qualities. Accordingly, in this paper, we actualize another calculation which exploits firefly calculation on the minimal middle of squares (FA-LMedS) estimator for manufactured neural system nonlinear autoregressive (BPNN-NAR) and counterfeit neural system nonlinear autoregressive moving normal (BPNN-NARMA) models to cook the different degrees of remote issue in time arrangement information. In addition, the execution of the proposed powerful estimator with correlation with the first MSE and strong iterative slightest middle squares (ILMedS) and molecule swarm advancement on minimum middle squares (PSO-LMedS) estimators utilizing reenactment information, in light of root mean squared blunder (RMSE) are likewise talked about in this paper. It was found that the robustified backpropagation learning calculation utilizing FA-LMedS beat the first and other powerful estimators of ILMedS and PSO-LMedS. As a conclusion, developmental calculations beat the first MSE mistake capacity in giving hearty preparing of counterfeit neural systems.
Highly sensitive frequency selective surface for structural health monitoring system S. A. Suhaimi; S. N. Azemi; P. J. Soh; C.B.M. Rashidi; A Abdullah Al-Hadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp523-528

Abstract

This paper is introduced a passive sensor to detect the performance of the structure using three-dimensional (3D) Frequency Selective Surfaces (FSS). The proposed 3D Circular FSS results are proved behave as passive sensor with changing of sensitivity incident angles to be apply in Structural Health Monitoring (SHM) system. Moreover, this 3D Circular FSS capable to operate without stand to any (DC/AC) power and very low cost in term of installation and maintenance.
Requirements engineering for User-Centered school food ordering system Diyana Binti Halim Khoo; Afdallyna Fathiyah Harun; Saiful Izwan Suliman
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp357-364

Abstract

Understanding user requirement for a technology design is central to user experience. A user-centered technology design should consider user needs and constraints as well as abide to the principles of HCI design heuristics. This paper describes the requirements gathering for Kantin Online System, a school food ordering system where we considered the needs and constraints of different stakeholders involved and elicit a compromise where the needs of all parties can be met. We then applied usability heuristics into the system design to facilitate perceived ease of use and perceived usefulness. We conclude this paper with experts’ evaluations towards the heuristic elements of the system design concept and possible future work.
Downscaling Modeling Using Support Vector Regression for Rainfall Prediction Sanusi Sanusi; Agus Buono; Imas S Sitanggang; Akhmad Faqih
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6423-6430

Abstract

Statistical downscaling is an effort to link global scale to local scale variable. It uses GCM model which usually used as a prime instrument in learning system of various climate. The purpose of this study is as a SD model by using SVR in order to predict the rainfall in dry season; a case study at Indramayu. Through the model of SD, SVR is created with linear kernel and RBF kernel. The results showed that the GCM models can be used to predict rainfall in the dry season. The best SVR model is obtained at Cikedung rain station in a linear kernel function with correlation 0.744 and RMSE 23.937, while the minimum prediction result is gained at Cidempet rain station with correlation 0.401 and RMSE 36.964. This accuracy is still not high, the selection of parameter values for each kernel function need to be done with other optimization techniques.
Reseach of Control System of Packaging Machine on PLC Xiao SUN; Hao ZHOU; Xiangjiang LU; Yongbin LIU
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

An automatic control system of sampling package for sample coal is designed according to the realities of sample coal powdery materials which are based on controller (PLC). The system can realize the functions of random sampling, auto-weighting, auto-packaging, and auto-sealing off. It also can adjust waste less, control convenient, zero point self-tuning and dynamics weighing measurement. It can be used in sampling weighing package of sample coal. Various performance indicators can be stably and reliably used in field. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2614
Cognitive Analysis of Product Form Elements Shutao Zhang; Jianning Su; Chibing Hu; Peng Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Perception is the most basic form of cognition thinking activity. Consumers' perception image to the product form is based on human's visual perception characteristics, which can be summarized as the overall organization, the constant memory, the simple regulating and the identifiable discrimination according to the Gestalt principle. Firstly, the study analyzes the characteristics of consumers' perception image to the product form. Secondly, the evaluation model that is used to simulate consumers' image perceived behavior is build using gray correlation analysis and fuzzy neural network. Finally, the practice example of car side profile design is taken, and the results show that the method is helpful to product form image intelligent design.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3696
The Development of Digital Library User Interface by Using Responsive Web Design and User Experience Dimas Sasongko; Ridi Ferdiana; Rudy Hartanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 1: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i1.pp195-202

Abstract

The digital library has the purpose of providing services to the user, therefore, user experience factor and adjusting the display device diversity becomes the main thing to consider in building a digital library. The digital library is visited by many users because it provides a lot of information so that the existing content should be accessible anywhere, anytime and using a variety of devices. This research focuses on the design of digital library interface that adapts to the user experience and a variety of devices. The method used in this study is testing the user experience for the evaluation of digital library interface and Responsive Web Design for the development of digital library interface. The confidence interval is used as the analysis of the test data. Implementation of the user experience and Responsive Web Design in the digital library interface design proposals can improve the estimated percentage of success and task time users.
Factors of Adoption Intention for Near Field Communication Mobile Payment Sharidzaly Busu; Norisan Abd Karim; Haryani Haron
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp98-104

Abstract

Near field communication mobile payment (NMP) is simple to use and beneficial to consumers, yet its adoption among consumers in Malaysia is still at the beginning stage and the adoption rate is relatively lower compared to other countries in the world. The aim of this study is to identify factors that affect the adoption intention of NMP among consumers in Malaysia, by using Faculty of Computer and Mathematical Sciences (FSKM), UiTM Shah Alam as the case study for this research. The quantitative data analysis approach is used in this study. There were 150 questionnaires analyzed using the SPSS. This research identified three factors that affect the adoption intention of NMP which are perceived usefulness, perceived cost and compatibility. By understanding the factors affecting the intention to adopt NMP, financial technology companies can focus to provide the solutions according to market interest, needs and readiness.
Fire alert system through text messages, with arduino mega technology and GSM SIM 900 module Omar Chamorro Atalaya; Dora Arce Santillan
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1215-1221

Abstract

The purpose of this article is to develop a fire alert system, to implement under the use of Arduino Mega technology and GSM module SIM 900 (GSM: Global System for mobile communications, SIM: Minimum System), with which through The programming and interconnection between these components can be obtained by capturing data through MQ2 sensors installed in the Industrial Automation Laboratory of the National Technological University of South Lima, and then send a fire alert signal through text messages to a mobile equipment located outside the laboratory; at a distance of 1000 meters; The relevance of this research is that its optimal response, detects the application of this system to the industrial park of Villa El Salvador, which has multiple warehouses, which a newspaper is affected by fire hazards, by the amount of flammable material They owned. Developing the investigation will determine the existence of a correlation factor of 0.973, between the reception time of the alert signal, with respect to the distance in the MQ2 sensor to detect the smoke; This factor tells us to state that the correlation is significant between both variables; with a ratio percentage equal to 98.90%, which was selected by the determination factor R2. 

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