Pengembangan Model The Maximum Covering Location Problem Untuk Pemerataan Distribusi Vaksin COVID-19 (Studi Kasus: Kabupaten Malang)

Prastuti, Nugky Dyah (2022) Pengembangan Model The Maximum Covering Location Problem Untuk Pemerataan Distribusi Vaksin COVID-19 (Studi Kasus: Kabupaten Malang). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dalam program imunisasi, vaksin merupakan komponen utama yang harus dijamin ketersediaannya sepanjang vaksin tersebut memiliki standar khusus yang berfungsi untuk menyeleksi vaksin pada saat diproduksi di pabrik farmasi atau retail farmasi, sedangkan di distributor ke rantai distribusi di dalam rumah sakit persediaan vaksin harus dikelola dengan baik. Namun, pengiriman vaksin di bebeapa wilayah yang yang begitu luas memiliki masalah yang sangat kompleks yaitu pemberian vaksin terhadap penduduk yang belum memenuhi target. Dilatarbelakangi dengan hal tersebut, penelitian ini akan mengembangkan model maximum covering location problem untuk distribusi vaksin. Penelitian ini bertujuan untuk pemeratan pemberian vaksin COVID-19 untuk penduduk dibeberapa wilayah yang masih belum merata. Pengembangan model ini diharapkan dapat meningkatkan persentase vaksinasi agar segera memenuhi target dan memutus rantai penyebaran virus COVID-19. Penelitian ini memiliki delapan skenario dimana terdapat skenario jika 500.000 dosis vaksin di alokasikan ke maksimal 5 lokasi kandidat pelaksanaan vaksinasi dan masimal 10 lokasi kandidat pelaksanaan vaksinasi dengan coverage distance sebesar 15km dan 20km. Skenario yang selanjutnya untuk 750.000 dosis vaksin di alokasikan ke maksimal 5 lokasi kandidat pelaksanaan vaksinasi dan masimal 10 lokasi kandidat pelaksanaan vaksinasi dengan coverage distance sebesar 15km dan 20km. Semua skenario dengan tujuan permintaan penduduk yang divaksinasi terpenuhi di Kabupaten Malang sebesar 70%.
Kata Kunci: vaksin COVID-19, persentase peningkatan vaksin, model maximum covering location problem, fasilitas kesehatan
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In the immunization program, vaccines are the main component that must be guaranteed availability as long as the vaccine has special standards that function to select vaccines when they are produced in pharmaceutical factories or pharmaceutical retailers, while at the distributor to the distribution chain in hospitals, vaccine supplies must be managed properly. However, the delivery of vaccines in several very large areas has a very complex problem, namely the administration of vaccines to populations who have not met the target. With this background, this research will develop a maximum covering location problem model for vaccine distribution. This study aims to equalize distribute the COVID-19 vaccine for residents in several areas that are still not distributed well. The development of this model is expected to increase the percentage of vaccinations in order to immediately meet the target and break the chain of spread of the COVID-19 virus. This study has eight scenarios where there is a scenario if 500,000 doses of vaccine are allocated to a maximum of 5 candidate locations for vaccination and a maximum of 10 candidate locations for vaccination with coverage distances of 15km and 20km. The next scenario is for 750.000 doses of vaccine to be allocated to a maximum of 5 candidate locations for vaccination and a maximum of 10 candidate locations for vaccination with a coverage distance of 15 km and 20 km. All scenarios with the purpose of fullfilled the demand for the population to be vaccinated in Kabupaten Malang are 70%.
Keywords: vaccine COVID-19, percentage increase in vaccination, model maximum covering location problem, health facility.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	vaksin COVID-19, persentase peningkatan vaksin, model maximum covering location problem, fasilitas kesehatan vaccine COVID-19, percentage increase in vaccination, model maximum covering location problem, health facility.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	NUGKY DYAH PRASTUTI
Date Deposited:	10 Feb 2022 03:30
Last Modified:	01 Nov 2022 04:24
URI:	http://repository.its.ac.id/id/eprint/93328

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