Real time schedule detection / Fadhilah Mohd Azmir

Mohd Azmir, Fadhilah (2008) Real time schedule detection / Fadhilah Mohd Azmir. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

The main objective of this project is to develop a smart system - Real Time Schedule Detection by using Adobe Dreamweaver as the web interface, Adobe ColdFusion as server software and Microsoft Office Access as the database. This project requires data from ICReSS. The system is basically an online web application which has the ability to search the lecturer's class at a specific day or time. The proposed project is an enhancement feature (function) of ICReSS. This system use information retrieval concept by supplying specific parameters to build a query. The design and implementation of search engine concept can help people to efficiently search for useful information. The search tool, which is a search utility, looks for information in the database and reports the result of the searching task to users via website interface. The advantages of this system are its ability to search faster, reliable, up to date and can be use by unlimited number of users. The system is targeted to be used by the Faculty of Electrical Engineering staff.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mohd Azmir, Fadhilah
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Awang, Robi'atun Adayiah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Mobile computing
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > System design
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons)
Keywords: ICReSS, web application, information retrieval
Date: 2008
URI: https://ir.uitm.edu.my/id/eprint/69070
Edit Item
Edit Item

Download

[thumbnail of 69070.pdf] Text
69070.pdf

Download (98kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

69070

Indexing

Statistic

Statistic details