Abstract
Haversine formula-based GIS has been created to find closest location to referral hospital handling COVID-19 in Semarang City. The objectives of this study were (1) to determine closest distance and compare the results with the calculation of Find Nearest Tool and Google Maps and (2) to design GIS. It was done through (i) primary and secondary data creation and processing, (ii) accuracy measurement using Haversine formula. GIS is built after the calculation results are obtained. Calculation of the distance from user’s starting point to referral hospital can be generated using Haversine formula. Comparison of measurement results between Haversine formula-based GIS and Find Nearest Tool, the average differences is 13 meters, the smallest difference is 3 meters and the largest difference is 40 meters. The differences between the calculation results of Haversine formula and Google Maps, the smallest difference is 0 meters, the largest difference is 5 meters, and the average differences is 3 meters. GIS creation obtained through designing use case, activity, class diagram, and user interface. The conclusion is Haversine formula-based GIS can be used as "Geographic Information System for the Search of Referral Hospital Handling COVID-19 in Semarang City" based on the closest distance from user's location.
Highlights
Haversine formula-based GIS has been created to find closest location to referral hospital handling COVID-19 in Semarang City
GIS is built after the calculation results are obtained
GIS creation obtained through designing use case
Summary
SIG dengan peranan penting dalam keputusan spasial untuk kehidupan yang dipengaruhi oleh rasa kedekatan Sistem Informasi Geografis (SIG) merupakan suatu dari satu objek terhadap objek lain. Informasi terdekat ke suatu lokasi, maka pada penelitian ini tentang jarak lokasi rumah sakit rujukan tersebut sangat dirancang bangun sebuah SIG untuk pencarian lokasi minim, sehingga masyarakat kesulitan dalam penentuan terdekat rumah sakit rujukan penanganan COVID-19 di rumah sakit rujukan terdekat dari lokasi keberadaan. Karena jumlah penduduk Kota Semarang pada tahun 2018 tercatat sebanyak 1.786.114 jiwa [13] disertai Tujuan penelitian ini, yaitu penentuan jarak terdekat mobilitas penduduk sangat tinggi, sehingga dapat berbasis Haversine formula dan hasil yang diperoleh sebagai penyebab peningkatan risiko penyebaran infeksi dibandingkan terhadap Find Nearest Tool dan aplikasi COVID-19. Setelah diperoleh hasil perbandingan positif COVID-19 di Kota Semarang sebanyak 123 tersebut, maka dirancang bangun sebuah SIG yang dapat orang pada tanggal 20 April 2020 [14], dengan jumlah dijadikan sebagai solusi bagi masyarakat dalam tersebut merupakan jumlah kasus positif tertinggi di pencarian rumah sakit rujukan penanganan COVID-19 Provinsi Jawa Tengah. Penentuan Jarak Terdekat (1) Penghitungan jarak dengan Haversine formula dan (2) Pembandingan hasil perhitungan dengan Haversine formula terhadap Find Nearest Tool dan Aplikasi
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