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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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 |
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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 |
_version_ |
1822921601442643968 |