Shamsul J Elias
University Technology of MARA

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Indonesian Journal of Electrical Engineering and Computer Science

The evaluation of AdBlock technique implementation for enterprise network environment Mohd Iskandar Bin Samsuddin; Mohamad Yusof Darus; Shamsul J Elias; Abidah Hj Mat Taib; Norkhushaini Awang; Roshidi Din
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1102-1109

Abstract

This paper presents the evaluation of AdBlock technique implementation for enterprise network environment. This study has presented the impact of web browsing activities where it is the most active traffic where is consumed the highest inbound bandwidth usage in enterprise network environment. We can conclude that DNS AdBlock is the best solution for enterprise network environment in term of blocking advertisement compare to extension adblock. Adblock technique also reduce network data request by comparing front-end solution (browser extension AdBlock) at client web browser and networks level adblock. The parameters such as HTTP request, TCP connection and network bandwidth are being examined to measure the effectiveness of blocking online advertisement. Both techniques perform the reduction of traffics and bandwidth utilization. The result shows that DNS AdBlock is the most effective in blocking online advertisement using the examined parameters. DNS AdBlock can sustain the usage of web browsing activity for enterprise network and also generate substantial saving across several fonts. This study has identified current web browsing trends traffic in enterprise network where it consumed 50 percent in average. This number increased when industries are moving to cloud web-based consumption. However, industries such as educational sector, web browsing traffic is one of connectivity that enterprises network should be investing to support openness and heavy traffic from educational users.
Fuzzy expert systems (FES) for halal food additive M. Zaki Zakaria; Norhana Nordin; Ariff Md Ab Malik; Shamsul J Elias; Ahmad Zambri Shahuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1073-1078

Abstract

Halalan Toyyiban issues acknowledged the need of additional protection for good quality assurance food and should be applied in the food industries. All the food ingredients must be safe, hygiene and nutritious to be used by the consumers. Many chemical ingredients have been added in the food production process in enhancing the food characteristics and act as stabilizer, artificial colour, preservatives, artificial sweetener. This paper presents Halal Food Additive Using Fuzzy Expert Systems (FES) to determine the Halalan Toyyiban safety rating for food additives based on consumers’ past experienced record in allergy complication. The significant of this project is to provide the consumers with health awareness to prevent the health risk that caused by these food additives. This research focuses on 42 types of Halal food additives and 12 type symptoms of allergies that are commonly faced by the consumers.