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Indonesian Journal of Electrical Engineering and Computer Science | 2018

A Tiered Approach On Dimensional Reduction Process for Prediction of Coronary Heart Disease

Wiharto Wiharto; Herianto Herianto; Hari Kusnanto

Received Mar 3, 2018 Revised Apr 11, 2018 Accepted Apr 21, 2018 Paintball has gained a huge popularity in Malaysia with growing number of tournaments organized nationwide. Currently, Ideal Pro Event, one of the paintball organizer found difficulties to pair a suitable opponent to against one another in a tournament. This is largely due to the manual matchmaking method that only randomly matches one team with another. Consequently, it is crucial to ensure a balanced tournament bracket where eventual winners and losers not facing one another in the very first round. This study proposes an intelligent matchmaking using Particle Swarm Optimization (PSO) and tournament management system for paintball organizers. PSO is a swarm intelligence algorithm that optimizes problems by gradually improving its current solutions, therefore countenancing the tournament bracket to be continually improved until the best is produced. Indirectly, through the development of the system, it is consider as an intelligence business idea since it able to save time and enhance the company productivity. This algorithm has been tested using 3 size of population; 100, 1000 and 10,000. As a result, the speed of convergence is consistent and has not been affected through big population.N. N. S. Abdul Rahman, N.M. Saad, A. R. Abdullah, M. R. M. Hassan, M. S. S. M. Basir, N. S. M. Noor 1,2,4,6Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia 2,3Center for Robotics and Industrial Automation, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia 3,5Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, MalaysiaLight rail transit (LRT), or fast tram is urban public transport using rolling stock similar to a tramway, but operating at a higher capacity, and often on an exclusive right-of-way. Indonesia as one of developing countries has been developed the LRT in two cities of Indonesia, Palembang and Jakarta. There are opinions toward the development of LRT, negative and positive opinions. To reveal the level of LRT development acceptance, this research uses machine learning approach to analyze the data which is gathered through social media. By conducting this paper, the data is modeled and classified in order to analyze the social sentiment towards the LRT development.Mohamad, S., Nasir, F.M., Sunar, M.S., Isa, K., Hanifa, R.M., Shah, S.M., Ribuan, M.N., Ahmad, A. 1,4,6,7,8Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia 1,2,3UTM-IRDA Digital Media Centre, Media and Game Innovation Centre of Excellence, Universiti Teknologi Malaysia, Johor, Malaysia 1,2,3Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia 5Centre for Diploma Studies, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia 6Research Centre for Applied Electromagnetics, Universiti Tun Hussein Onn Malaysia, Johor, MalaysiaReceived Jan 31, 2018 Revised Apr 21, 2018 Accepted Apr 30, 2018 Bluetooth is an emerging mobile ad-hoc network that accredits wireless communication to connect various short range devices. A single hop network called piconet is the basic communication topology of bluetooth which allows only eight active devices for communication among them seven are active slaves controlled by one master. Multiple piconets are interconnected through a common node, known as Relay, to form a massive network called as Scatternet. It is obvious that the performance of Scatternet scheduling is highly dependent and directly proportionate with the performance of the Relay node. In contrary, by reducing the number of Relays, it may lead to poor performance, since every Relay has to perform and support several piconet connections. The primary focus of this study is to observe the performance metrics that affects the inter-piconet scheduling since the Relay node’s role is like switch between multiple piconets. In this paper, we address and analyze the performance issues to be taken into consideration for efficient data flow in Scatternet based on Relay node.


arXiv: Computer Vision and Pattern Recognition | 2015

Identification and Counting White Blood Cells and Red Blood Cells using Image Processing Case Study of Leukemia

Esti Suryani; Wiharto Wiharto; Nizomjon Polvonov


International Journal of Electrical and Computer Engineering | 2017

Hybrid System of Tiered Multivariate Analysis and Artificial Neural Network for Coronary Heart Disease Diagnosis

Wiharto Wiharto; Hari Kusnanto; Herianto Herianto


Scientific Journal of Informatics | 2016

Identifikasi Anemia Thalasemia Betha (β) Mayor Berdasarkan Morfologi Sel Darah Merah

Esti Suryani; Wiharto Wiharto; Katarina Novi Wahyudiani


TELKOMNIKA : Indonesian Journal of Electrical Engineering | 2018

Assessment of Early Hypertensive Retinopathy using Fractal Analysis of Retinal Fundus Image

Wiharto Wiharto; Esti Suryani; Muhammad Yahya Kipti


MATEC Web of Conferences | 2018

Multiple linear regression for the analysis of the parameters used in dyes decolourisation by ozonation techniques

Siti Fatimah; Wiharto Wiharto


Malaysian Journal of Fundamental and Applied Sciences | 2017

Modeling of decolorisation dyes by ozonation techniques using Levenberg-Marquardt neural network

Siti Fatimah; Wiharto Wiharto


International Journal of Electrical and Computer Engineering | 2017

The Analysis of Performace Model Tiered Artificial Neural Network for Assessment of Coronary Heart Disease

Wiharto Wiharto; Harianto Herianto; Hari Kusnanto


Indonesian Journal of Electrical Engineering and Computer Science | 2017

System Diagnosis of Coronary Heart Disease Using a Combination of Dimensional Reduction and Data Mining Techniques: A Review

Wiharto Wiharto; Hari Kusnanto; Herianto Herianto


Indian journal of science and technology | 2017

Clinical Decision Support System for Assessment Coronary Heart Disease Based on Risk Factor

Wiharto Wiharto; Hari Kusnanto; Herianto Herianto

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Esti Suryani

Sebelas Maret University

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Umi Salamah

Sebelas Maret University

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