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All Journal GEA, Jurnal Pendidikan Geografi Jurnal Environmental Science
Andri A Wibowo
Universitas Indonesia
Astronomy Earth & Planetary Sciences Education Environmental Science Social Sciences

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Optimisasi Rute Pelayanan Darurat COVID-19 di Tingkat Kelurahan Menggunakan Analisis Jaringan Andri A Wibowo
Jurnal Environmental Science Vol 4, No 2 (2022): April
Publisher : UNIVERSITAS NEGERI MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.473 KB) | DOI: 10.35580/jes.v4i2.32136

Abstract

Jakarta merupakan salah satu kota di Indonesia dengan jumlah kasus COVID-19 yang tinggi. Di kota-kota, transportasi jalan menghadapi tantangan berupa jaringan jalan yang kompleks. Variabel transportasi ini dapat menimbulkan tantangan yang signifikan dalam pelayanan darurat ambulans COVID-19. Masalah ini dapat diatasi dengan mengoptimalkan rute ambulans berdasarkan jaringan jalan yang tersedia. Penelitian ini bertujuan untuk mengidentifikasi rute terpendek dengan waktu kedatangan ambulans terpendek yang dapat menghubungkan 14 Rukun Warga di tingkat kelurahan dengan rumah sakit yang tersedia menggunakan Analisis Jaringan. Penelitian ini merekomendasikan 14 rute yang dioptimalkan dengan panjang yang bervariasi. Panjang rata-rata rute optimal adalah 1,593 km, dengan rentang mulai dari 0,369 hingga 3,078 km. Wilayah bagian Utara dari kelurahan yang diteliti memiliki waktu kedatangan ambulans terlama, dengan nilai 5 menit. Bagian Timur, di sisi lain, memiliki waktu kedatangan ambulans tersingkat sekitar 2-3 menit. Penelitian ini membantu perencana kota dengan menempatkan rumah sakit di lokasi yang paling strategis dengan waktu kedatangan ambulans yang paling singkat.
Assesments of Dental Caries Spatial Pattern in Ciamis District using Lisa Spatial Autocorrelation Analysis Andri A Wibowo
Jurnal Pendidikan Geografi Gea Vol 23, No 1 (2023)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/gea.v23i1.50809

Abstract

One method to study health patterns, including dental and oral health, is to use a spatial approach assisted by a Geographic Information System. Dental caries itself is one of the emerging dental and oral health problems. So this study aims to determine the pattern of grouping and the number of dental caries cases spatially. The grouping pattern or called spatial autocorrelation was analyzed using several spatial autocorrelation methods. The methods include analysis of Moran I, Getis-Ord Gi*, and LISA. While LISA stands for Local Indicator of Spatial Association. The research sample is 27 subdistricts within Ciamis District. The number of dental caries in 27 subdistricts ranges from 0 to 163 cases. From the results of the study, it is known that the Moran I index ranges from -0.625 to 0.763. It is known that 12 subdistricts have a Moran I value 0. While the Getis-Ord Gi* index range is from -1,438 to 5,175 with 12 subdistricts having a Getis-Ord Gi* value 0. Based on LISA analysis, it is known that there is a spatial autocorrelation and grouping with LISA classification goes into in the HH class covers 2 subdistricts. This means that in the 2 subdistricts the number of dental caries cases is known to be the highest, clustered, and has spatial autocorrelation compared to other sub-districts.
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