The Factors of Influence the Risk of Abnormal Working Hours for the Workforce in Batam City

Ridha Amalia Hakim

doi:10.35877/454RI.daengku2525

Authors

Ridha Amalia Hakim Universitas Airlangga

DOI:

https://doi.org/10.35877/454RI.daengku2525

Keywords:

working hours, education, age, job status, gender.

Abstract

This study aims to analyze how factors such as education, age, employment status and gender affect the risk of abnormal working hours (outside the range of 38-42 hours) in Batam City. The data used is secondary data whose data source comes from the Central Bureau of Statistics (BPS) from the National Labor Force Survey (SAKERNAS) in 2022. The number of eligible samples was 3080 family heads. Data processing for analysis in this study used SPSS version 25. The analysis method used is descriptive and inferential analysis. The results revealed that 79.80% of household heads in Batam City work with abnormal working hours. The findings show that education level and age are variables that significantly influence the risk of abnormal working hours. Age variable with the largest odds ratio value is the most influential variable to the risk of abnormal working hours in Batam City. It can be concluded that family heads who have low education level and/or unproductive age can cause the risk of abnormal working hours.

References

Agresti, A. (2002). Categorical Data Analysis Second edition. In Taiwan Review (Vol. 69, Issue 4). A John Wiley &Sons, Inc., Publication.
Amalia, T. (2019). Pengaruh Kompensasi, Jam Kerja, Dan Disiplin Kerja Terhadap Kinerja Karyawan Matahari Department Store Tegal. Skripsi, 1–65.
BPS-Statistics, Indonesia, B. P. S. (2023). Keadaan Angkatan Kerja di Indonesia Februari 2023. Badan Pusat Statistik, June 2023, 299.
Dewi, A. F., & Pratiwi, R. (2021). Analisis Regresi Logistik Biner pada Pengaruh Harga, Kualitas Pelayanan dan Promosi terhadap Kepuasan Pelanggan dalam Menggunakan Jasa Layanan Grab di Kabupaten Lamongan. Inferensi, 4(2), 77. https://doi.org/10.12962/j27213862.v4i2.8637
Febriana, R. (2020). Analisis faktor-faktor yang mempengaruhi jam kerja pekerja anak di kota palembang. Journal of Chemical Information and Modeling, 8(9), 1–58.
Kartikasari, D. (2020). Analisis Faktor-Faktor Yang Mempengaruhi Level Polusi Udara Dengan Metode Regresi Logistik BineR. MATHunesa: Jurnal Ilmiah Matematika, 8(1). https://doi.org/10.26740/mathunesa.v8n1.p55-59
Muhson, A. (2016). Teknik Analisis Kuantitatif. Makalah Teknik Analisis II, 1–7. http://staffnew.uny.ac.id/upload/132232818/pendidikan/Analisis+Kuantitatif.pdf
Setiono, S. A., & Prabawati, A. (2018). Pengaruh Pendapatan Suami, Tingkat Pendidikan, Umur Dan Kesempatan Kerja Terhadap Jumlah Jam Kerja Buruh Wanita Pada Gudang Tembakau “Gmit” Jember. Majalah Ilmiah “DIAN ILMU,” 17.
Setkab. (2020). Undang Undang Republik Indonesia Nomor 11 Tahun 2020 Tentang Cipta Kerja SK No 052692 A. Peraturan.Bpk.Go.Id, 052692, 1–1187.
Tulhusnah, L., Sularso, A., & M. Fathorrazi. (2018). Pengaruh Kepemimpinan Dan Motivasi Kerja Terhadap Kepuasan Kerja Dan Kinerja Pegawai Pada Kantor Badan Pertanahan Nasional Kabupaten Situbondo. JJurnal Ekonomi Dan Bisnis GROWTH (JEBG), 16, 18–28.