UMS-industry data management system (UMS - IDMS)
Customer Relationship Management (CRM) Centre for Industrial Collaboration and Engagement (CICE) UMS will be developed into a system comprises of two sectors between Industry Network and Community network to serves as a referral by industries to connect with University Malaysia Sabah (UMS). Before u...
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| Main Author: | |
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| Format: | Academic Exercise |
| Language: | English English |
| Published: |
2022
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| Online Access: | https://eprints.ums.edu.my/id/eprint/33324/1/UMS-INDUSTRY%20DATA%20MANAGEMENT%20SYSTEM%20%28UMS%20-%20IDMS%29.24pages.pdf https://eprints.ums.edu.my/id/eprint/33324/2/UMS-INDUSTRY%20DATA%20MANAGEMENT%20SYSTEM%20%28UMS%20-%20IDMS%29.pdf https://eprints.ums.edu.my/id/eprint/33324/ |
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| Summary: | Customer Relationship Management (CRM) Centre for Industrial Collaboration and Engagement (CICE) UMS will be developed into a system comprises of two sectors between Industry Network and Community network to serves as a referral by industries to connect with University Malaysia Sabah (UMS). Before using the system, the CICE staffs and other users must manually record the customer information using Microsoft Excel to check the relationship between both networks. A web portal system for CICE was proposed and described in this paper. The objectives for this project are to investigate the Collaborative filtering (CF) techniques for industry engagement recommendations in the web-based system, to develop the (UMS)Industry Data Management System (UMS-IDMS) and to evaluate the usability of the developed proposed (UMS) Industry Data Management System (UMS-IDMS) using the System Usability Scale (SUS) approach. The methodology used in this proposed system is Waterfall development. The system proposed was developed using several development tools such as Microsoft Visual Studio to create the system; Apache is the server. MySQL will use for the database and PHP as the scripting language. Some modelling tools such as flowchart, Data Flow Diagram (DFD) and the Use Case Diagram is designed. System testing and stabilise check will be performed. These tests include unit testing, integration testing, system testing and user acceptance testing. The Collaborative filtering (CF) techniques in the system uses user-based technique to developed and get better recommendations between all the users. The expected outcome for the system should be all the functions have to work successfully to help CICE manage their data easier. |
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