{"title":"Profil Distribusi Apotek di Kabupaten Banyumas berdasarkan Sistem Informasi Geografi dan Korelasinya dengan Jumlah Kunjungan dan Resep Tahun 2019","authors":"Abdul Manan, P. Utami, A. Siswanto","doi":"10.22435/jki.v11i2.3961","DOIUrl":null,"url":null,"abstract":"The distribution of pharmacies in Indonesia is still becoming a problem. Pharmacies are \nmostly available around healthcare facilities such as hospitals, service providers, trade \ncenters, transportation facilities, and main roads. The study aims to describe the distribution \nprofile of pharmacies based on Geographic Information System (GIS) analysis and to study the \nrelation between pharmacy distribution profiles with the number of consumer visits and \nprescriptions. The study is conducted in 27 sub-districts in Banyumas Regency, Central Java \nusing Arc Gis 3.10.2 Software. Pharmacy profile, the number of consumer visits, and \nprescriptions at the pharmacy are obtained by distributing research questionnaires to \npharmacists. The results showed that the distribution of pharmacies in the Banyumas Regency \nwas still dominant in urban areas, which reached 55%. The average distance of pharmacies \nwas 2.34 km. The research results on the distribution pattern of pharmacies in 27 sub-districts \nshowed that in 3 districts (11.1%) were grouped in certain areas, in 24 other districts (88.9%), \nthe pharmacies' distribution had a spread distribution pattern. The conclusion of the research \nthat the distribution of pharmacies in the Banyumas Regency based on GIS visualization was \nstill dominant in urban areas and especially in sub-districts around the capital of Banyumas \nRegency, Purwokerto. Based on the study, there was a relation between the average distance of \npharmacies and the number of healthcare facilities on consumer visits. There was a relation \nbetween pharmacy density, population density, and the number of healthcare facilities with the \nnumber of prescriptions.","PeriodicalId":31842,"journal":{"name":"Jurnal Kefarmasian Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Kefarmasian Indonesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22435/jki.v11i2.3961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The distribution of pharmacies in Indonesia is still becoming a problem. Pharmacies are
mostly available around healthcare facilities such as hospitals, service providers, trade
centers, transportation facilities, and main roads. The study aims to describe the distribution
profile of pharmacies based on Geographic Information System (GIS) analysis and to study the
relation between pharmacy distribution profiles with the number of consumer visits and
prescriptions. The study is conducted in 27 sub-districts in Banyumas Regency, Central Java
using Arc Gis 3.10.2 Software. Pharmacy profile, the number of consumer visits, and
prescriptions at the pharmacy are obtained by distributing research questionnaires to
pharmacists. The results showed that the distribution of pharmacies in the Banyumas Regency
was still dominant in urban areas, which reached 55%. The average distance of pharmacies
was 2.34 km. The research results on the distribution pattern of pharmacies in 27 sub-districts
showed that in 3 districts (11.1%) were grouped in certain areas, in 24 other districts (88.9%),
the pharmacies' distribution had a spread distribution pattern. The conclusion of the research
that the distribution of pharmacies in the Banyumas Regency based on GIS visualization was
still dominant in urban areas and especially in sub-districts around the capital of Banyumas
Regency, Purwokerto. Based on the study, there was a relation between the average distance of
pharmacies and the number of healthcare facilities on consumer visits. There was a relation
between pharmacy density, population density, and the number of healthcare facilities with the
number of prescriptions.