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Fardinah, Fardinah
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Journal : Journal of Applied Statistics, Mathematics, and Data Science

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Tingkat Pengangguran Terbuka Periode Sebelum hingga Sesudah Pandemi Covid-19 dengan Pendekatan Non-Parametrik Mayapada, Retno; Fardinah, Fardinah
ESTIMATOR : Journal of Applied Statistics, Mathematics, and Data Science Vol. 2 No. 1 (2024)
Publisher : Program Studi Statistika Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/estimator.v2i1.1829

Abstract

The unemployment rate is one of the factors related to a country's economy. During the COVID-19 pandemic, there was a decline in economic growth in Indonesia which also had a negative impact on the labor market. The decreased mobility of people causes reduced economic activity and ultimately the number of poverty increases. This research compares the percentage of unemployment rates in Indonesia in the period before, during, and after the COVID-19 pandemic using a non-parametric approach because the data of unemployment rates in 2020 and 2021 are not normally distributed. The non-parametric tests used in this research are the Friedman test and the Nemenyi post-hoc test. Based on research conducted, it was found that there was a statistically significant difference (?=5%) between the percentage of unemployment rates during the COVID-19 pandemic and the period before and after the COVID-19 pandemic. Meanwhile, the difference between before and after COVID-19 occurred was not statistically significant (?=5%). However, the average unemployment rate in 2023 is the smallest that compared to previous years. This shows that the economy in Indonesia is slowly starting to improve after the COVID-19 pandemic.
Co-Authors Abubakar, Rahmah Apriyanto, Apriyanto Darma Ekawati Dzulkifli, Dzulkifli Haris Haris, Haris Hidayatullah, Muhammad Hikmah Hikmah Kartini Kartini Khadijah Khadijah Lestari, Sri Dian Mayapada, Retno Meryta Febrilian Fatimah, Meryta Febrilian Muhammad Rais Ridwan Mulyani, Andi Siti Mulyati Mulyati Musafira Musafira Nurhidayah Nurhidayah Qadrini, Laila Rismawati Sikanna Salsabila, Nadia Salsabilah, Nadia Saranty, Saranty Sari, Alni