BookOpen AccessMetadata saja
2022•Koleksi Perpustakaan
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 sumatera, 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 Sumatera, West Sumatera, North Sumatera, North Sulawesi, Southeast Sulawesi, Central Sulawesi, Lampung, Riau, North Maluku, Maluku, West Papua, Papua, West Sulawesi, NTT and Gorontalo.
ThesisOpen AccessMetadata saja
2022•Skripsi, Thesis, Disertasi, dan Tugas Akhir
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 sumatera, 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 Sumatera, West Sumatera, North Sumatera, North Sulawesi, Southeast Sulawesi, Central Sulawesi, Lampung, Riau, North Maluku, Maluku, West Papua, Papua, West Sulawesi, NTT and Gorontalo.
