Opmitization Visual Impairment Network to Healthcare in Bandung

Visual impairment is a one of many problem that hampered this world. This is also one of <br /> <br /> impairment that treated by Indonesia national insurance, BPJS. From health profile of West Java <br /> <br /> on 2014, from 16 Million cases, 2.91% cases are visual impairme...

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Main Author: Siddhik 29116084, Andromeda
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/25561
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Institution: Institut Teknologi Bandung
Language: Indonesia
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spelling id-itb.:255612018-06-25T11:37:38ZOpmitization Visual Impairment Network to Healthcare in Bandung Siddhik 29116084, Andromeda Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/25561 Visual impairment is a one of many problem that hampered this world. This is also one of <br /> <br /> impairment that treated by Indonesia national insurance, BPJS. From health profile of West Java <br /> <br /> on 2014, from 16 Million cases, 2.91% cases are visual impairment cases. This would mean on <br /> <br /> aggregate, 2.91% of citizen in Bandung is have a visual impairment on any stage. Based on this <br /> <br /> percentage, staggering number of nearly 70.000 people in Bandung is have visual impairment. <br /> <br /> Meanwhile, Puskesmas is responsible of each district. Every puskesmas just have their <br /> <br /> responsibility to their own district. This means, every excess of capacity cannot be shared to <br /> <br /> other district that maybe has untreated patient. Puskesmas alone is a Tier 1 of BPJS system, this <br /> <br /> would mean every patient must go to Puskesmas first if they want to get a referral to next tier, <br /> <br /> which is Tier 2 or local hospital. <br /> <br /> There is a gap between a nearest puskesmas outside the district and furthest puskesmas inside the <br /> <br /> district. Only 4 district that has 0 gap, or their nearest puskesmas definitely on their district. But <br /> <br /> the rest 26 has a gap with mean 1.07 Km. On other hand, there is a gap of demand and supply by <br /> <br /> number that will lead to a sure overcapacity problem. <br /> <br /> The model will be carried on by Opensolver by A.J Mason and have a constraint like of capacity <br /> <br /> of puskesmas cannot be exceeded, all demand must be fulfilled and the number is integer. The <br /> <br /> scope of this model is from quantitative data taken directly from health profile of west java, <br /> <br /> government statistic foundation also from paper that have visual impairment number. The result <br /> <br /> of this model is an network between district to puskesmas, puskesmas to local hospital and <br /> <br /> number of overcapacity of each district that will lead to total doctor needed. 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 Visual impairment is a one of many problem that hampered this world. This is also one of <br /> <br /> impairment that treated by Indonesia national insurance, BPJS. From health profile of West Java <br /> <br /> on 2014, from 16 Million cases, 2.91% cases are visual impairment cases. This would mean on <br /> <br /> aggregate, 2.91% of citizen in Bandung is have a visual impairment on any stage. Based on this <br /> <br /> percentage, staggering number of nearly 70.000 people in Bandung is have visual impairment. <br /> <br /> Meanwhile, Puskesmas is responsible of each district. Every puskesmas just have their <br /> <br /> responsibility to their own district. This means, every excess of capacity cannot be shared to <br /> <br /> other district that maybe has untreated patient. Puskesmas alone is a Tier 1 of BPJS system, this <br /> <br /> would mean every patient must go to Puskesmas first if they want to get a referral to next tier, <br /> <br /> which is Tier 2 or local hospital. <br /> <br /> There is a gap between a nearest puskesmas outside the district and furthest puskesmas inside the <br /> <br /> district. Only 4 district that has 0 gap, or their nearest puskesmas definitely on their district. But <br /> <br /> the rest 26 has a gap with mean 1.07 Km. On other hand, there is a gap of demand and supply by <br /> <br /> number that will lead to a sure overcapacity problem. <br /> <br /> The model will be carried on by Opensolver by A.J Mason and have a constraint like of capacity <br /> <br /> of puskesmas cannot be exceeded, all demand must be fulfilled and the number is integer. The <br /> <br /> scope of this model is from quantitative data taken directly from health profile of west java, <br /> <br /> government statistic foundation also from paper that have visual impairment number. The result <br /> <br /> of this model is an network between district to puskesmas, puskesmas to local hospital and <br /> <br /> number of overcapacity of each district that will lead to total doctor needed.
format Theses
author Siddhik 29116084, Andromeda
spellingShingle Siddhik 29116084, Andromeda
Opmitization Visual Impairment Network to Healthcare in Bandung
author_facet Siddhik 29116084, Andromeda
author_sort Siddhik 29116084, Andromeda
title Opmitization Visual Impairment Network to Healthcare in Bandung
title_short Opmitization Visual Impairment Network to Healthcare in Bandung
title_full Opmitization Visual Impairment Network to Healthcare in Bandung
title_fullStr Opmitization Visual Impairment Network to Healthcare in Bandung
title_full_unstemmed Opmitization Visual Impairment Network to Healthcare in Bandung
title_sort opmitization visual impairment network to healthcare in bandung
url https://digilib.itb.ac.id/gdl/view/25561
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