PENGARUH SEKTOR PERTANIAN TERHADAP KEMISKINAN KABUPATEN TULUNGAGUNG SELAMA PANDEMI COVID-19
THE INFLUENCE OF THE AGRICULTURAL SECTOR ON POVERTY IN TULUNGAGUNG DISTRICT DURING THE COVID-19 PANDEMIC
Penelitian ini bertujuan untuk memastikan bagaiamana sektor pertanian mempengaruhi kemiskinan di kabupaten tulungagung selama pandemi covid-19. Penelitian yang digunakan adalah kuantitatif. Menggunakan data sekunder dari badan pusat statistik serta jurnal sebagai pendukung penelitian ini. Dengan menggunakan software SPSS, dan menggunakan analisis regresi linier sederhana. Hasil penelitian menarik kesimpulan berdasarkan uji parsial, sektor pertanian (X) tidak berpengaruh signifikan terhadap kemiskinan (Y). Selanjutnya berdasarkan hasil uji simultan diperoleh Fhitung sebesar 8.428. sehingga dapat disimpulkan bahwa secara simultan variabel sektor pertanian (X) berpengaruh terhadap kemiskinan (Y). Berdasarkan hasil penelitian, diharapkan kepada peneliti selanjutnya untuk bisa mengembangkannya lagi dengan menambah variabel lainnya yaitu sektor selain pertanian, IPM, inflasi, tingkat pengangguran, serta jumlah data dan memperpanjang durasi watku penelitian agar didapatkan hasil yang lebih valid dan akurat.
This study aims to ascertain how the agricultural sector affects poverty in Tulungagung district during the covid-19 pandemic. This research is quantative research. The data used are secondary data from the central statistical agency and journals as supporters in this study. By using SPSS software, a simple linear regession method was performed for the regression analysis. The results of the study draw conclusions based on the T test, the agricultural sector (X) has no significant effect on poverty (Y). furthermore, based on the results of the simultaneous test obtained F count of 8,428. So it can be concluded that the agricultural sector variables (X) simultaneosly affect poverty (Y). based on the results of the study, it is hoped that further researchers will be able to develop it again by adding other variable, namely sector other than agriculture, HDI, inflation, unemployment, as well as extending the duration of the research and the amount of data in older to obtain more valid and accurate results.