Penelitian ini mengambil judul Dampak Covid-19 Terhadap Pertumbuhan Ekonomi Indonesia. Tujuan penelitian ini adalah mengetahui pengaruh parsial dan simultan serta pola spasial kasus terpapar, meninggal dan sembuh terhadap pertumbuhan ekonomi Indonesia. Pada penelitian ini menggunakan pendekatan kuantitatif dengan metode dokumentasi dan studi pustaka. Metode pengambilan sampel yang digunakan adalah nonprobability sampling dengan teknik pengumpulan census sampling. Sampel dalam penelitian ini adalah 34 provinsi di Indonesia dengan jumlah sampel sebanyak 68. Alat analisis yang digunakan adalah regresi linear berganda dan tipologi klassen. Hasil penelitian regresi linear berganda uji-t (parsial), uji-F (simultan) dan uji R2 menunjukkan variabel kasus terpapar, sembuh dan meninggal berpengaruh negatif dan tidak signifikan terhadap pertumbuhan ekonomi Indonesia dilihat dari nilai konstanta sebesar 1,395, koefisien X1 0,4, koefisien X2 0,1 dan koefisien X3 0 dan uji R2 sebesar -11,9%. Kemudian hasil tipologi klassen menunjukkan pola spasial jumlah kasus terpapar tertinggi berada di Indonesia bagian barat dan bagian tengah yaitu provinsi Kaltim dan Bali, Riau, Sumatera Utara, Jawa Barat, Jawa Tengah, dan Jawa Timur. Kemudian jumlah kasus meninggal tertinggi berada di setiap bagian indonesia baik bagian barat, tengah maupun timur yaitu diprovinsi Bengkulu, Jambi, Kaltara, NTB, Sulawesi Utara, Sulawesi Tenggara, Maluku, Papua Barat, Sulawesi Barat, dan Gorontalo. Terakhir jumlah kasus sembuh tertinggi berada disetiap bagian indonesia diantaranya provinsi Aceh, Bengkulu, Jambi, Kalteng, Kalsel, Kaltara, Kep.Riau, NTB, Sumatera Selatan, Sumatera Barat, Sumatera Utara, Sulawesi Utara, Sulawesi Tenggara, Sulawesi Tengah, Lampung, Riau, Maluku Utara, Maluku, Papua Barat, Papua, Sulawesi Barat, NTT, dan Gorontalo.

This study takes the title Impact of Covid-19 on Indonesia's Economic Growth. The purpose of this study was to determine the effect of partial and simultaneous as well as the spatial pattern of cases exposed, died and recovered on Indonesia's economic growth. This research uses a quantitative approach with the method of documentation and literature study. The sampling method used is non-probability sampling with census sampling collection techniques. The sample in this study was 34 provinces in Indonesia with a total sample of 68. The analytical tools used were multiple linear regression and Klassen typology. The results of the multiple linear regression t-test (partial), F-test (simultaneous) and R2 test showed that the variables of cases exposed, recovered and died had a negative and insignificant effect on Indonesia's economic growth seen from the constant value of 1.395, X1 coefficient 0.4 , coefficient X2 0.1 and coefficient X3 0 and R2 test of -11.9%. Then the results of the Klassen typology show the spatial pattern of the highest number of exposed cases in western and central Indonesia, namely the provinces of East Kalimantan and Bali, Riau, North Sumatra, West Java, Central Java, and East Java. Then the highest number of deaths was in every part of Indonesia, both the western, central and eastern parts of the provinces of Bengkulu, Jambi, Kaltara, NTB, North Sulawesi, Southeast Sulawesi, Maluku, West Papua, West Sulawesi, and Gorontalo. Finally, the highest number of recovered cases was in every part of Indonesia including the provinces of Aceh, Bengkulu, Jambi, Central Kalimantan, South Kalimantan, Kaltara, Riau Islands, NTB, South Sumatra, West Sumatra, North Sumatra, North Sulawesi, Southeast Sulawesi, Central Sulawesi, Lampung, Riau. , North Maluku, Maluku, West Papua, Papua, West Sulawesi, NTT, and Gorontalo.