Inventory management system for Turbo Diagnose Tech Sdn. Bhd. / Nur Ainaa Nadiah Roslan
Inventory management system was developed for company Turbo Diagnose Tech Sdn. Bhd., Samudera Industrial Park, Batu Caves, Selangor. Intention of system development is to cater a problem for admin and staff of company regarding in managing their inventory. This project was develop to help owner in t...
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my.uitm.ir.558112022-03-22T17:02:59Z https://ir.uitm.edu.my/id/eprint/55811/ Inventory management system for Turbo Diagnose Tech Sdn. Bhd. / Nur Ainaa Nadiah Roslan Roslan, Nur Ainaa Nadiah Electronic Computers. Computer Science Database management Management information systems Production management. Operations management Inventory management system was developed for company Turbo Diagnose Tech Sdn. Bhd., Samudera Industrial Park, Batu Caves, Selangor. Intention of system development is to cater a problem for admin and staff of company regarding in managing their inventory. This project was develop to help owner in track the flow of inventory by giving a notification. For guideline of this project development, SDLC methodology was used. Waterfall model was choosen which contain five phases; planning, analysis, design, implementation and maintenance. This only covered until phase implementation. From the waterfall methodology, there a few diagram that involves in this project for a briefing the flow of system such as use case, activity diagram, multilayer architechture, etc. Recommendation was included in case there is a enhancement that stakeholder intend to do so. In conclusion, this inventory management system cater stakeholder to managing inventory and keep in touch with the supplier. 2016 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/55811/1/55811.pdf ID55811 Roslan, Nur Ainaa Nadiah (2016) Inventory management system for Turbo Diagnose Tech Sdn. Bhd. / Nur Ainaa Nadiah Roslan. Degree thesis, thesis, Universiti Teknologi MARA Cawangan Melaka. |
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Electronic Computers. Computer Science Database management Management information systems Production management. Operations management Roslan, Nur Ainaa Nadiah Inventory management system for Turbo Diagnose Tech Sdn. Bhd. / Nur Ainaa Nadiah Roslan |
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Inventory management system was developed for company Turbo Diagnose Tech Sdn. Bhd., Samudera Industrial Park, Batu Caves, Selangor. Intention of system development is to cater a problem for admin and staff of company regarding in managing their inventory. This project was develop to help owner in track the flow of inventory by giving a notification. For guideline of this project development, SDLC methodology was used. Waterfall model was choosen which contain five phases; planning, analysis, design, implementation and maintenance. This only covered until phase implementation. From the waterfall methodology, there a few diagram that involves in this project for a briefing the flow of system such as use case, activity diagram, multilayer architechture, etc. Recommendation was included in case there is a enhancement that stakeholder intend to do so. In conclusion, this inventory management system cater stakeholder to managing inventory and keep in touch with the supplier. |
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Thesis |
author |
Roslan, Nur Ainaa Nadiah |
author_facet |
Roslan, Nur Ainaa Nadiah |
author_sort |
Roslan, Nur Ainaa Nadiah |
title |
Inventory management system for Turbo Diagnose Tech Sdn. Bhd. / Nur Ainaa Nadiah Roslan |
title_short |
Inventory management system for Turbo Diagnose Tech Sdn. Bhd. / Nur Ainaa Nadiah Roslan |
title_full |
Inventory management system for Turbo Diagnose Tech Sdn. Bhd. / Nur Ainaa Nadiah Roslan |
title_fullStr |
Inventory management system for Turbo Diagnose Tech Sdn. Bhd. / Nur Ainaa Nadiah Roslan |
title_full_unstemmed |
Inventory management system for Turbo Diagnose Tech Sdn. Bhd. / Nur Ainaa Nadiah Roslan |
title_sort |
inventory management system for turbo diagnose tech sdn. bhd. / nur ainaa nadiah roslan |
publishDate |
2016 |
url |
https://ir.uitm.edu.my/id/eprint/55811/1/55811.pdf https://ir.uitm.edu.my/id/eprint/55811/ |
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13.214268 |