Aqhbar Habib, - (2021) ANALISIS KORELASI OPEN STREET MAP, DEMOGRAFI, DAN VAKSINASI TERHADAP JUMLAH KASUS COVID-19 MENGGUNAKAN MULTIPLE LINEAR REGRESSION DAN PEARSON CORRELATION PRODUCT MOMENT. S1 thesis, Universitas Pendidikan Indonesia.
Abstract
Pada awal tahun 2020, dunia digemparkan dengan merebaknya penyebaran penyakit menular mematikan yang disebut Coronavirus Disease 2019 (Covid-19). Penelitian ini bertujuan untuk menganalisis hubungan korelasi data spasial, data demografi, dan data Vaksinasi terhadap penyebaran Covid-19 di Kota Bandung menggunakan Multiple Linear Regression (MLR) dan Pearson Correlation Product Moment (Pearson’s r). Hasil eksperimen model MLR menunjukan bahwa hanya terdapat 3 variabel yang memiliki hubungan korelasi yang signifikan terhadap Kasus Covid-19, yaitu variabel Residential, Kepadatan Penduduk, dan Rumah Sehat yang semuanya memiliki arah hubungan yang positif dengan nilai koefisien determinasi sebesar 0,554. Model yang dibangun lolos dari pengujian 3 Asumsi Klasik sehingga dapat dipercaya tingkat kebenarannya. Hasil eksperimen model Pearson’s r yang melibatkan 5 periode vaksinasi menunjukan bahwa dari 30 kecamatan di Kota Bandung, terdapat 20 kecamatan yang memiliki hubungan korelasi yang signifikan antara Vaksinasi terhadap Penambahan Kasus Covid-19. 20 kecamatan tersebut memiliki arah hubungan korelasi yang negatif dan nilai korelasi diatas 80,54%. Sedangkan hasil eksperimen model Pearson’s r yang melibatkan 6 periode vaksinasi menunjukan bahwa hanya terdapat 9 kecamatan yang memiliki hubungan korelasi yang signifikan. 9 kecamatan tersebut memiliki arah hubungan korelasi yang negatif dan nilai korelasi diatas 72,93%. At the beginning of 2020, the world was shocked by the outbreak of a deadly infectious disease called Coronavirus Disease 2019 (Covid-19). This study aims to analyze the correlation between spatial data, demographic data, and vaccination data on the spread of Covid-19 in the city of Bandung using Multiple Linear Regression (MLR) and Pearson Correlation Product Moment (Pearson's r). The experimental results of the MLR model show that there are only 3 variables that have a significant correlation with Covid-19 cases, namely the Residential variable, Population Density, and Healthy Homes, all of which have a positive relationship direction with a determination coefficient value of 0.554. The model that was built passed the 3 Classic Assumptions test so that the level of truth can be trusted. The experimental results of the Pearson's r model involving 5 vaccination periods show that from 30 sub-districts in the city of Bandung, there are 20 sub-districts that have a significant correlation between vaccinations and the addition of Covid-19 cases. The 20 sub-districts have a negative correlation direction and the correlation value is above 80.54%. While the experimental results of the Pearson's r model involving 6 vaccination periods show that there are only 9 sub-districts that have a significant correlation. The 9 sub-districts have a negative correlation direction and the correlation value is above 72.93%.
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| Item Type: | Thesis (S1) |
|---|---|
| Uncontrolled Keywords: | Covid-19, Open Street Map, ArcGIS, Multiple Linear Regression, Pearson Correlation Product Moment. |
| Subjects: | L Education > L Education (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Ilmu Komputer |
| Depositing User: | Aqhbar Habib |
| Date Deposited: | 01 Sep 2021 06:47 |
| Last Modified: | 01 Sep 2021 06:47 |
| URI: | http://repository.upi.edu/id/eprint/65139 |
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