
Profil Distribusi Apotek di Kabupaten Banyumas berdasarkan Sistem Informasi Geografi dan Korelasinya dengan Jumlah Kunjungan dan Resep Tahun 2019
Author(s) -
Abdul Manan,
Pri Iswati Utami,
Agus Siswanto
Publication year - 2021
Publication title -
jurnal kefarmasian indonesia
Language(s) - English
Resource type - Journals
eISSN - 2354-8770
pISSN - 2085-675X
DOI - 10.22435/jki.v11i2.3961
Subject(s) - pharmacy , distribution (mathematics) , capital city , medical prescription , medicine , geography , socioeconomics , family medicine , nursing , economic geography , mathematical analysis , mathematics , sociology
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.