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dc.contributor.authorSuri, Nurma-
dc.contributor.authorZakiah Oktarlina, Rasmi-
dc.contributor.authorAulia Ramdini, Dwi-
dc.contributor.authorMiswar, Dedy-
dc.contributor.authorRahman, M. Bobby-
dc.date.accessioned2024-10-31T08:08:18Z-
dc.date.available2024-10-31T08:08:18Z-
dc.date.issued2024-09-30-
dc.identifier.issn2443-2946-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/7134-
dc.description.abstractABSTRACT Background:Pharmacies should improve people's quality of life by providing pharmaceutical services. In this case, the distribution and accessibility of pharmacy facilities play an essentialrole.Objectives:This research aims to provide an overview of the distribution of pharmaciesin BandarLampung municipality and analyze their distribution and accessibility.Methods: Non-experimental research withdescriptive methodswas conducted using spatial analysis. All population pharmacies in Bandar Lampung were selected as a sample, and theirlocation was pointedusing the Garmin Global Positioning System(GPS). Arc-Gis software was used for data analysis. A nearest-neighbor analysis was conducted to get a distribution pattern, and the pharmacies' density was calculated to obtain accessibilitydata. The overlapping approachwas carried out to determine factors related to pharmacy distribution patterns.Results: Bandar Lampung municipality has 268 pharmacies spread across 20 districts. This research shows that the average density of pharmacies per 10,000 residents is 2.26. The highest pharmacy accessibility is in Sukarame, with a ratio of 4.07, and the lowest is in Bumi Waras, with a ratio of 0.62. The distribution of pharmacies isa clustered pattern (T value 0.55) andcentralizes on collector roads, residential urban land use, and health facilities.Conclusion:The distribution of pharmacies is odd. They are distributed in a cluster pattern.Keywords: Global Positioning System; Nearest Neighbor Analysis; Pharmacy; Spatial Analysisen_US
dc.publisherUGMen_US
dc.subjectGlobal Positioning Systemen_US
dc.subject;Nearest Neighbor Analysis;en_US
dc.subjectPharmacy;en_US
dc.subjectSpatial Analysisen_US
dc.titleMappingof Pharmaciesin Bandar Lampung Municipality: Nearest Neighbor Analysis and OverlayApproachen_US
dc.typeArticleen_US
Appears in Collections:Vol 14, No 3 Tahun 2024

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