Data Vizualization for Computer Inventory

Data visualization is a discipline of the visual representation of data to convey the information clearly and efficiently. Based on our study, the computer inventory data of Universiti Teknologi MARA, Shah Alam, Selangor is still reported using spreadsheets. Thus, it is difficult task for this...

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Main Authors: Sulaiman, Mohd Suffian, Mohamad, Ahmad Taufiq, Hanafi, Hafizul Fahri, Abd. Wahab, Mohd Helmy
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/25200/1/KMICE%202018%20107%20110.pdf
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author Sulaiman, Mohd Suffian
Mohamad, Ahmad Taufiq
Hanafi, Hafizul Fahri
Abd. Wahab, Mohd Helmy
author_facet Sulaiman, Mohd Suffian
Mohamad, Ahmad Taufiq
Hanafi, Hafizul Fahri
Abd. Wahab, Mohd Helmy
author_sort Sulaiman, Mohd Suffian
collection UUM
description Data visualization is a discipline of the visual representation of data to convey the information clearly and efficiently. Based on our study, the computer inventory data of Universiti Teknologi MARA, Shah Alam, Selangor is still reported using spreadsheets. Thus, it is difficult task for this organization to analyze, observe and understand, especially when the data are scattered in several location without using the data visualization approach.In this paper, we proposed the map-withlatitude-longitude technique to visualize the computer inventory which located in several places.The main idea of the proposed method is to visualize the distribution of data using map so that will provide the information in visual form for all the stakeholder e.g. information officer and manager to make any related decision in future.The result shows that the map-with-latitude-longitude technique works well and presents the information of computer inventory clearly.
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spelling uum-252002018-11-25T02:23:38Z https://repo.uum.edu.my/id/eprint/25200/ Data Vizualization for Computer Inventory Sulaiman, Mohd Suffian Mohamad, Ahmad Taufiq Hanafi, Hafizul Fahri Abd. Wahab, Mohd Helmy HD28 Management. Industrial Management Data visualization is a discipline of the visual representation of data to convey the information clearly and efficiently. Based on our study, the computer inventory data of Universiti Teknologi MARA, Shah Alam, Selangor is still reported using spreadsheets. Thus, it is difficult task for this organization to analyze, observe and understand, especially when the data are scattered in several location without using the data visualization approach.In this paper, we proposed the map-withlatitude-longitude technique to visualize the computer inventory which located in several places.The main idea of the proposed method is to visualize the distribution of data using map so that will provide the information in visual form for all the stakeholder e.g. information officer and manager to make any related decision in future.The result shows that the map-with-latitude-longitude technique works well and presents the information of computer inventory clearly. 2018 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/25200/1/KMICE%202018%20107%20110.pdf Sulaiman, Mohd Suffian and Mohamad, Ahmad Taufiq and Hanafi, Hafizul Fahri and Abd. Wahab, Mohd Helmy (2018) Data Vizualization for Computer Inventory. In: Knowledge Management International Conference (KMICe) 2018, 25 –27 July 2018, Miri Sarawak, Malaysia. http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html
spellingShingle HD28 Management. Industrial Management
Sulaiman, Mohd Suffian
Mohamad, Ahmad Taufiq
Hanafi, Hafizul Fahri
Abd. Wahab, Mohd Helmy
Data Vizualization for Computer Inventory
title Data Vizualization for Computer Inventory
title_full Data Vizualization for Computer Inventory
title_fullStr Data Vizualization for Computer Inventory
title_full_unstemmed Data Vizualization for Computer Inventory
title_short Data Vizualization for Computer Inventory
title_sort data vizualization for computer inventory
topic HD28 Management. Industrial Management
url https://repo.uum.edu.my/id/eprint/25200/1/KMICE%202018%20107%20110.pdf
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