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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 48 Documents
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Search results for , issue "Vol 8, No 2: November 2017" : 48 Documents clear
Optimization of Food Composition for Hypertensive Patient using Variable Neighborhood Search Aprilia Nur Fauziyah; Wayan Firdaus Mahmudy
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp327-334

Abstract

Hypertension is a major symptom that cause other diseases appear such as non-communicable diseases, cancer, and diabetes if the nutrients on hypertensive patients not controlled from the actual nutrition need. One of healthy life effort for the patients is consuming healthy food that considers level of salt in the foods. The problem to determine the food composition that considers level of salt and minimum cost of the food is solved using Variable Neighborhood Search. This study compares 3 neighborhood structures: insertion, exchange, and 2-opt. The use of 2-opt neighborhood structure gives the highest fitness averages of other neighborhood structure. Selection and arrangement of neighborhood structure in every k neighborhood have effect on the solution is obtained. The result of this study contains composition of foods with nutrients which are close to the needs of hypertension patients with attentions the sodium and minimal cost within a day.
Simulation of Packet Scheduling in Cognitive Long Term Evolution-Advanced Mohamad ‘Ismat Hafizi Mansor; Huda Adibah Mohd Ramli; Ani Liza Asnawi; Farah Nadia Mohd Isa
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp533-540

Abstract

Real Time (RT) and Non-Real Time (NRT) multimedia content demand on mobile devices are increasing at a high pace. Long Term Evolution-Advanced (LTE-A) is expected to cater these demands. However, LTE-A operates at fixed spectrum which leads to spectrum scarcity. Cognitive Radio (CR) is one the promising technologies that is used to overcome spectrum scarcity and implementation of CR into LTE-A will improve spectrum availability and efficiency of the network. Furthermore, with addition of Packet Scheduling (PS) in the cognitive LTE-A, QoS requirement of the mobile users can be guaranteed. However, the study on the stated is very limited. Thus, this paper models, simulates and evaluates performance of five well-known PS algorithms for supporting the RT and NRT multimedia contents. The simulation results show that Maximum- Largest Weighted Delay First (M-LWDF) is the best candidate for implementation in the cognitive LTE-A.
Online Performance Monitoring of Grid-Connected Photovoltaic System using Hybrid Improved Fast Evolutionary Programming and Artificial Neural Network Puteri Nor Ashikin Megat Yunus; Shahril Irwan Sulaiman; Ahmad Maliki Omar
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp399-406

Abstract

This paper presents the development of online performance monitoring methods for grid-connected photovoltaic (GCPV) system based on hybrid Improved Fast Evolutionary Programming and Artificial Neural Network (IFEP-ANN). The approach has been developed and validated using previous predicted data measurement. Solar radiation (SR), module temperature (MT) and ambient temperature (AT) has been employed as the inputs, and AC output power (PAC) as the sole output to the neural network model. The actual data from the server has been called and uploaded every five minute interval into Matlab by using FTP (File Transfer Protocol) and the predicted AC output power has been produced based on the prediction developed in the training stages. It is then compared with the actual AC output power by using Average Test Ratio, AR. Any predicted AC output power less than the threshold set up, indicates an error has been occurred in the system. The obtained results show that the hybrid IFEP-ANN gives good performance by producing a sufficiently high correlation coefficient, R value of 0.9885. Besides, the proposed technique can analyse and monitor the system in online mode. 
Towards Scalable Algorithm for Closed Itemset Mining in High-Dimensional Data Fatimah Audah Md. Zaki; Nurul Fariza Zulkurnain
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp487-494

Abstract

Mining frequent itemsets from large dataset has a major drawback in which the explosive number of itemsets requires additional mining process which might filter the interesting ones. Therefore, as the solution, the concept of closed frequent itemset was introduced that is lossless and condensed representation of all the frequent itemsets and their corresponding supports.  Unfortunately, many algorithms are not memory-efficient since it requires the storage of closed itemsets in main memory for duplication checks. This paper presents BFF, a scalable algorithm for discovering closed frequent itemsets from high-dimensional data. Unlike many well-known algorithms, BFF traverses the search tree in breadth-first manner resulted to a minimum use of memory and less running time. The tests conducted on a number of microarray datasets show that the performance of this algorithm improved significantly as the support threshold decreases which is crucial in generating more interesting rules.
Hybrid Approach for Water Demand Prediction Based on Fuzzy Congnitive Maps G. Jenitha
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp567-570

Abstract

 In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural networks (ANNs). The proposed structure optimization genetic algorithm (SOGA) for automatic construction of FCM is used for modeling complexity based on historical time series, and artificial neural networks (ANNs) which are used at the final process for making time series prediction. The suggested SOGA-FCM method is used for selecting the most important nodes (attributes) and interconnections among them which in the next stage are used as the input data to ANN used for time series prediction after training. The FCM with proficient learning calculations and ANN have been as of now demonstrated as adequate strategies for setting aside a few minutes arrangement anticipating. The execution of the proposed approach is exhibited through the examination of genuine information of every day water request and the comparing expectation. The multivariate examination of recorded information is held for nine factors, season, month, day or week, occasion, mean and high temperature, rain normal, touristic action and water request. The entire approach was actualized in a clever programming device at first sent for FCM forecast. Through the exploratory investigation, the value of the new mixture approach in water request forecast is illustrated, by computing the mean outright blunder (as one of the outstanding expectation measures). The outcomes are promising for future work to this bearing.
Design of a Small Renewable Resource Model based on the Stirling Engine with Alpha and Beta Configurations Faisal Zahari; Muhammad Murtadha Othman; Ismail Musirin; Amirul Asyraf Mohd Kamaruzaman; Nur Ashida Salim; Bibi Norasiqin Sheikh Rahimullah
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp360-367

Abstract

This paper presents the conceptual design of Stirling engine based Alpha and Beta configurations. The performances of Stirling engine based Beta configuration will be expounded elaborately in the discussion. The Stirling engines are durable in its operation that requires less maintenance cost.  The methodology for both configurations consists of thermodynamic formulation of Stirling Cycle, Schmidt theory and few composition of flywheel and Ross-Yoke dimension. Customarily, the Stirling engine based Beta configuration will operate during the occurrence of low and high temperature differences emanating from any type of waste heat energy. A straightforward analysis on the performance of Stirling engine based Beta configuration has been performed corresponding to the temperature variation of cooling agent. The results have shown that the temperature variation of cooling agent has a direct effect on the performances of Stirling engine in terms of its speed, voltage and output power. 
Dual-Wavelength Thulium Ytterbium Co-Doped Fiber Laser Hazlihan Haris; Ahmad Razif Muhammad; Norazlina Saidin; Mohd Shahnan Zainal Abidin; Hamzah Arof; Mukul Chandra Paul; Sulaiman Wadi Harun
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp457-461

Abstract

We report on the generation of dual-wavelength fiber laser peaking at 1990.64 and 1998.92 nm with a simple ring cavity setup. The lasers are demonstrated using a fabricated silica-based nano-engineered octagonal shaped double-clad Thulium-Ytterbium co-doped fiber (TYDF) as a gain medium in a simple all-fiber ring configuration. By using 980 nm multimode laser, a stable dual-wavelength laser is generated at a threshold pump power of 1500 mW due to the non-polarization rotation (NPR) effect occurred in the cavity. The effect has been self-controlled by a suppression of mode competition in the gain medium. The result shows that the slope efficiency of the generated dual–wavelength laser is measured to be 27.23%. This dual-wavelength TYDF laser operated steadily at room temperature with a 34 dB optical signal-to-noise ratio. Keywords: Dual-wavelength fiber laser, nano-engineered glass, silica-based TYDF, NPR effect.
Availability of Network Improvement for Ship’s Optical Communication Range Ganesh Kumar; A. Arivazhagan Arivazhagan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp552-554

Abstract

Optical correspondence networks connecting ship’s system introduces the heuristic way to deal with accessibility investigation interfacing boat's frameworks. The availabilities of individual parts have been figured, as the reason for the whole framework accessibility assessment. A few system accessibility structures and assurance situations are exhibited and the accessibility assessed. In view of the examination, the likelihood for enhancing ship's correspondence framework accessibility has been proposed, adding to the general accessibility change of ship's frameworks.
Integrated Engineering Project Management Approach for Typical Small to Medium Manufacturing Companies Erry Yulian Triblas Adesta; Mohammed Abdullah K B; Yahya A Alazemi
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp541-545

Abstract

The aim of this paper is to identify the problem extents and successfully applying project management in SMEs with a focus on manufacturing industries. The organization of the study was mainly divided into the activity of literature study and the investigation through a survey conduct aimed to measure the awareness and implementation of project management at the selected SMEs in Malaysia. The questionnaire was designed with a section (Section A) involving project management in general and another section (Section B) involving the implementation of it. It was found that the level of awareness and implementation of project management especially in the selected small and medium manufacturing companies in Malaysia was quite satisfying. Most of the manufacturing companies were implementing project management, but the level was depending on the organization in the company itself. 
Enhancement of Energy Control Routing Protocol for Mobile Ad Hoc Network Based on Hybrid Particle Swarm Optimization with Ant Colony-based Energy Control Routing Hasan Awni Shakir; Ravie Chandren Muniyandi; Zulkarnain MD. Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp308-314

Abstract

MANET is an autonomous collection of distributed mobile nodes. Every node in a MANET works as a source and a sink and that relays packets for other nodes. The key features of a MANET include dynamic network topology, distributed network nature, multi-hop communication, limited bandwidth, and limited energy constraints. Given that the battery of the nodes is limited, the energy of the nodes and the lifetime of network is a critical problem in MANETs. Moreover, nodes maintain static or less movement after being deployed. The energy of the MANET nodes cannot be recharged, which leads to dead nodes. This study improves the energy cost for the ACECR and boosts advancement through its contributions. Areas in the ad hoc network where much work is needed are discussed. This study only explored the impact of PSO on ACECR. Results indicate that ACECR- PSO performed better than the other protocols in terms of balanced energy consumption and extended network lifetime.

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