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Quick Looked POD is built to makes POD approval process easier by giving score to data which use to create POD, then from score that have been obtained is conducted class division using Monte Carlo Simulation. The classification indicates the level of preparedness of documents POD to submitted for a...

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Main Author: MARYUDI (NIM : 12210034), RIAN
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30407
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:30407
spelling id-itb.:304072018-06-04T11:09:40Z#TITLE_ALTERNATIVE# MARYUDI (NIM : 12210034), RIAN Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/30407 Quick Looked POD is built to makes POD approval process easier by giving score to data which use to create POD, then from score that have been obtained is conducted class division using Monte Carlo Simulation. The classification indicates the level of preparedness of documents POD to submitted for approval. First study was done by developed quick count method based on static data parameter (Rommy, 2011) and dynamic data parameter (Rinno, 2011). Second study was developed by adding commerciality parameter thus obtained feasibility matrix of POD (Ramadhan, 2012). Third study is developed by adding field performance parameter (Doniberatus, 2013). <br /> <br /> In this paper, Quick Looked POD’s table is taken from previous paper and become reference to do POD valuation. This paper further develops by validate using real field data and develops into the form of website so it can be applied online. The result of this study is named Online Quick Looked POD which make valuation easier and POD approval online. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Quick Looked POD is built to makes POD approval process easier by giving score to data which use to create POD, then from score that have been obtained is conducted class division using Monte Carlo Simulation. The classification indicates the level of preparedness of documents POD to submitted for approval. First study was done by developed quick count method based on static data parameter (Rommy, 2011) and dynamic data parameter (Rinno, 2011). Second study was developed by adding commerciality parameter thus obtained feasibility matrix of POD (Ramadhan, 2012). Third study is developed by adding field performance parameter (Doniberatus, 2013). <br /> <br /> In this paper, Quick Looked POD’s table is taken from previous paper and become reference to do POD valuation. This paper further develops by validate using real field data and develops into the form of website so it can be applied online. The result of this study is named Online Quick Looked POD which make valuation easier and POD approval online.
format Final Project
author MARYUDI (NIM : 12210034), RIAN
spellingShingle MARYUDI (NIM : 12210034), RIAN
#TITLE_ALTERNATIVE#
author_facet MARYUDI (NIM : 12210034), RIAN
author_sort MARYUDI (NIM : 12210034), RIAN
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
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url https://digilib.itb.ac.id/gdl/view/30407
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