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Analisis Spasial Upah Minimum Kabupaten/Kota di Provinsi Jawa Tengah Tahun 2017-2021 dengan Model SAR-RE Adham Malay Japany; Annisa Firnanda
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.441 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1135

Abstract

As remuneration for labor, the compensation given is usually in the form of wages or salaries. In maintaining wage stability, a minimum wage is established. The similarity of the Regency/City Minimum Wage (UMK) in Central Java Province is inseparable from the spatial effect. Thus, this study aims to identify the spatial effect and determine the variables that affect the UMK in Central Java Province. The data used in this study is secondary data from the Central Java BPS website with 35 regencies/cities of observation in 2017-2021. The best model used is Spatial Autoregressive Random Effect (SAR-RE). The test results show that there are three significant variables, namely the ADHK GDP and HDI variables that have a positive effect, and the variable of expenditure per capita that has a negative effect. In addition, the UMK in an area also has a positive and significant effect on the surrounding UMK, while TPAK has no effect on the UMK in Central Java Province in 2017-2021.
Penerapan Model First-Order Autoregressive Error dalam Analisis Daya Saing Ekspor Crude Palm Oil Indonesia Tahun 1995-2021 Adham Malay Japany; Marsandhi Evan Dino Pardede; Rania Humaira; Rita Yuliana
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1864

Abstract

Indonesia's Crude Palm Oil (CPO) commodity has advantages and has the potential to increase the country's economic growth. Indonesia is the largest CPO exporter in the world. However, in recent years CPO exports have continued to fluctuate. The potential and capability must be followed by quality improvement, so that later it can have an active role in international trade. Therefore, this study aims to identify an overview and analyze the factors that affect the competitiveness of Indonesia's CPO commodity exports in the world market. This study uses time series data from 1995 to 2021. The competitiveness analysis approached by Revealed Comparative Advantage (RCA) applies the first-order autoregressive error model method. The results show that during the 1995-2021 period, the competitiveness of CPO exports and CPO production tends to experience a positive trend, FDI tends to experience a negative trend, and real exchange rates tend to fluctuate. Furthermore, real exchange rates and CPO production affect the level of competitiveness of Indonesia's CPO exports.