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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 9,199 Documents
 93   94   95   96   97 
Thermal distribution analysis of rice weevil disinfestation using microwave heating treatment Maliki Ibrahim; Rosemizi Abd Rahim; Junita Mohd Nordin; Siti Zulaika Abdul Nyzam; Muhammad Thaqif Abdullah
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i2.pp759-765

Abstract

This paper presents an analysis of a microwave heating thermal distribution in the rice weevil disinfestation treatment. The sample of rice and rice weevil has been heated by microwave and the infrared thermal camera has been used to capture the heating distribution. The analysis of the rice and the rice weevil condition due to electromagnetic energy exposure is presented. There are three stages of the microwave heating has been taken in the analysis i.e. 10, 20, 30 seconds exposure period at 100W of energy.  Found that the treatment of rice weevil disinfestation using microwave energy is promising in the future, but needs a lot of improvement to be studied. The beauty of using microwave energy for rice weevil disinfestation is not only the rice weevil can be killed, but even its eggs or larvae inside the rice kernel will be killed before it hatches.
Power System State Estimation Bad Data Detection and Identification: A Review on Issues and Alternative Formulations Nurul Fauzana Imran Gulcharan; Nursyarizal Mohd Nor; Taib Ibrahim; Hanita Daud
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 1: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i1.pp122-128

Abstract

State Estimation (SE) is the main function of power system where Energy Management System (EMS) is obliged to estimate the available states. Power system is a quasi-static system and hence changes slowly with time. Dynamic State Estimation (DSE) technique represents the time deviation nature of the system, which allows the forecasting of state vector in advance. Various techniques for DSE are available in the literature. This paper presents a review on different methodologies and developments in DSE, based on comprehensive survey of the available literature. From the survey it can be concluded that there are still areas in the developing DSE that can still be improved in terms of system computational time, redundancy and robustness of the system.
Dependable estimations for education quality using fuzzy logic based strategy a case study (University of Kufa) Adel Al Janabi; Ehsan Ali Kareem; Radhwan Hussein Abdulzhraa Al Sagheer
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.pp472-480

Abstract

The consideration that the Iraqi community has concentrated on the training area has delivered another college responsibility routed to superiority viewpoints for all training connected facilities. In truth, a superiority arranged facility necessitates perfection in the structure and arranging of facility exercises, in addition to amid its conveying for the received facility execution assessment strategy. In any case, considering that facility execution assessments are profoundly founded on partners’ decisions, they can be described by conceivable vulnerabilities identified with deficiency for incomplete obliviousness, imprecision for subjectivity and even dubiousness. In this way, underneath these circumstances, temperamental outcomes can be acquired by broadly measured facility investigation strategies. This paper is a strategy dependent an ongoing augmentation of ServQual display and it utilizes a consolidated way of Fuzzy Set Theory of command process technique that is proposed to adequately deal with vulnerability in facility execution examinations. Specifically, Fuzzy Set Theory is measured to manage vulnerability, while AHP strategy is embraced as device to appraise the significance loads of key facility characteristics. In this way, the key investigation of the facility esteem tree identified with the program in University of Kufa is made by using the planned strategy. The completed facility examination permits the most impacting facility execution components to be caught and remarked. At last, acquired outcomes demonstrate that the teachers' view of facility quality definitively impacts by large facility execution level. 
Application Research based on Artificial Fish-swarm Neural Network in Sintering Process Song Qiang; Wang Ai-Min; Li Hua
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.pp6127-6133

Abstract

Sinter tumbler strength is an important parameter in the sintering process, and has an important influence on the performance of finished sinter. Artificial fish swarm algorithm have good ability to acquire the global performance, the neural network has strong nonlinear ability and local optimization performance,; AFSA+BP algorithm combined with artificial fish swarm algorithm and BP algorithm, realizes the complementary artificial fish swarm algorithm global search capability and BP algorithm's local optimization combination of performance, an artificial fish swarm neural results show that the network combination algorithm, it is shown that comparing with the traditional BP neural network forecasting method，the presented forecasting method has better adaptive ability and can give better forecasting results.The artificial fish—swarm algorithm network is trained and checked with the actual production data．this algorithm has strong generalization capability, predictive accuracy improved significantly, and speed up the convergence rate, provides an effective method for strength prediction. Which be used for off-line learning and prediction, a good basis for the online application.
Competitiveness Comparative Research on Jiaozuo Service Industry Based on Synchronic and Diachronic Data XU Jun
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Service industry plays a more and more important role in economic development, it had become an important symbol for the enhancement of one region competitiveness. The paper constructed the Jiaozuo service competitive evaluation model, which used 2004-2011 years sequence data of Jiaozuo and synchronic data of Zhengzhou, Kaifeng, Luoyang, Xinxiang, Jiaozuo five cities, based on the DEA method, designed input index including employees and fixed assets, designed output index including service industry output value and growth rate, then it solved the answer with LINGO8.0 linear programming software. Model could not only evaluate sequence change on development of service industry competitiveness for eight years in Jiaozuo, but also did a horizontal section comparison with Zhengzhou, Kaifeng, Luoyang, Xinxiang four Cities. Model operation results showed that Jiaozuo service industry appeared to be on the mend but unstable situation on the overall effectiveness according to the longitudinal input and output, the horizontal section comparing showed that it had slightly shortage than Zhengzhou, Kaifeng city, it was in a horizontal line with Xinxiang, Luoyang, but the total amount was insufficient, it was totally in accord with the actual situation in Jiaozuo service industry development. Finally, it proposed the countermeasure and suggestion from Jiaozuo important development industries, service industry development policy and talent training. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2514
A Review in E-Government Service Quality Measurement Wael Jabbar Abed Al-Nidawi; Saba Kamil Jaafar Al-Wassiti; Mahdi Athab Maan; Marini Othman
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1257-1265

Abstract

Governments are responsible for providing services to the public easily, efficiently, therefore they introduced electronic government as a way to minimize costs, enhance services, save time and augment performance and efficacy in the public sector. E-service Quality is one of the critical issues in the failure or success of e-government projects. It promotes the efficiency and effectiveness of governments and the relationships with users and enhances their satisfactions. Measurement of e-service quality is a complex process because it depends on citizens’ perception that is difficult to be realized and measured. This paper aims to review scales measurement of e- government services quality that providing an evaluating scale based on defining the significant e- service quality dimensions. These dimensions cover important e-services requirements to enhance e-service quality.
Analysis and Estimation of Harmonics using Wavelet Technique V Thiyagarajan; N.P. Subramanium
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2015
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The paper develops an approach based on wavelet technique for the evaluation and estimation of harmonic contents of power system waveform. The proposed algorithm decomposes the signal waveforms into the uniform frequency sub-bands corresponding to the odd harmonic components of the signal. The proposed implementation of algorithm determines the frequency bands of harmonics which retain both the time and frequency relationship of the original waveforms and uses a method to suppress those harmonics. The wavelet algorithm is selected to obtain compatible output bands with the harmonic groups defined in the standards for power-supply systems. A comparative analysis will be done with the input and the results obtained from the wavelet transform (WT) for different measuring conditions and Simulation results are given. DOI:  http://dx.doi.org/10.11591/telkomnika.v13i2.6983 
The Knowledge Management System of a State Loss Settlement Amalia Rahmawati; Irman Hermadi; Rein Suadamara
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The knowledge management is a model involving the information system in the knowledge processing. Tim Penyelesaian Kerugian Negara (TPKN) is one of sources of information related to the state loss settlement, so it needs the development of knowledge management system on the state loss settlement to ease the users when looking for the references of knowledge as completely as possible, accurately, and quickly. This research aims to develop the system of knowledge management on the state loss in LAPAN (SIMAPKLA). The used research methodology is Knowledge Management System Life Cycle (KMSLC). The tacit, explicit knowledge is taken from the experts and it is stored in the Knowledge Base (KB). The design model uses the approach with the orientation of object and implementation with Yii Framework and blackbox testing. The menu on this system includes home, about us, dictionary, news, meeting schedulles, knowledge about state loss, e-document, progress, and forum. Based on a series of tests, in the aspect of functionality, this system is suitable and useful to share knowledge and know the development of state loss settlement. DOI:  http://dx.doi.org/10.11591/telkomnika.v14i2.7388 
Routing Algorithm for DTN Based on Congestion Control Song Ningning; Liu Qian; Zhou Xianwei; Xue Peipei
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Different from Internet networks, DTN has its own unique characteristics, like intermittent connectivity, low data transfer rate, high latency and limited storage and node resources. Routing technology is always the key to DTN research. In this paper, a routing protocol that is PNCMOP was proposed. It makes some improvement of Epidemic routing protocol, and also to decrease the end-to-end average delay and improve delivery ratio, especially with congestion control. Simulation results show that PNCMOP achieved a good performance. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3348
Ant colony algorithm for text classification in multicore-multithread environment Ahmad Nazmi Fadzal; Mazidah Puteh; Nurazzah Abd Rahman
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.pp1359-1366

Abstract

This paper presents about Ant Colony Algorithm (ACO) for Text Classification in Multicore-Multithread Environment in Artificial Intelligent domain. We had develop a software which assimilate concurrency concept to multiple artificial ants. Pheromone in ACO is the main concept used to solve the text classification problem. In regards to its role, pheromone value is changed depending on the solution finding that has been discovered at the pseudo random heuristic attempt in selecting path from text words. However, ACO can take up longer time to process larger training document. Based on the cooperative concept of ants living in colony, the ACO part is examined to work in multicore-multithread environment as to cater additional execution time benefit. In running multicore-multithread environment, the modification aims to make artificial ants actively communicate between multiple physical cores of processor. The execution time reduction is expected to show an improvement without compromising the original classification accuracy by the investment of trading on more processing power. The single and multicore-multithreaded version of ACO was compared statistically by conduction relevant test. It was found that the result shows a positive time reduction improvement.

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