PANDEMI COVID-19 DAN TURNOVER KE PEKERJAAN INFORMAL

ANALISIS DATA GOOGLE TRENDS

Penulis

  • Ari Purwanto Sarwo Prasojo Pusat Riset Kependudukan, Badan Riset dan Inovasi Nasional

DOI:

https://doi.org/10.34123/jurnalasks.v14i2.360

Kata Kunci:

COVID-19, layoff, new normal, informal, Google Trends

Abstrak

COVID-19 pandemic has impacted the labor market in Indonesia, such as decreasing wages and layoff. The decline of worker demand may drive job turnover into the informal sector. Using Google Trends data, this study aims to explore the existence of informal job turnover signals during physical restriction and new normal in Indonesia. Four keyword categories: “PHK”, “situs loker”, “kurir”, “driver online”, and “berjualan” were used to analyze layoff and search the informal job opportunity. The trend analysis results using local regression (LOESS) and difference-in-differences (DD) methods found a signal of informal job turnover during physical restriction and new normal. The job turnover signal was shown by increasing search intensity about “PHK” (layoff), followed by the search intensity of job opportunities such “berjualan online” (online selling) and “lowongan kurir” (courier jobs).

Unduhan

Data unduhan tidak tersedia.

Unduhan

Diterbitkan

2022-10-17

Cara Mengutip

PANDEMI COVID-19 DAN TURNOVER KE PEKERJAAN INFORMAL: ANALISIS DATA GOOGLE TRENDS. (2022). Jurnal Aplikasi Statistika & Komputasi Statistik, 14(1), 49-62. https://doi.org/10.34123/jurnalasks.v14i2.360

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