Dwi Satria Firmansyah
BPS Kabupaten Batang Hari

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Perbandingan Kinerja Model Arimax dan Glarma dengan Efek Variasi Kalender Dalam Peramalan Infasi Di Kota Jambi dan Muaro Bungo Dwi Satria Firmansyah
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 6 No 01 (2023): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v6i01.69

Abstract

Inflation is one of the macroeconomic indicators that has become the focus of attention of countries in the world. This is because inflation has a large and significant influence on economic conditions. Therefore, it is important to forecast inflation in future periods as a material consideration in determining the policies and economic decisions to be chosen. Indonesia is a multicultural country that has religious holidays, one of which is Idul Fitri. Eid al-Fitr is expected to affect inflation through increased demand for goods and services. This study aims to establish a comparison between two monthly inflation forecasting models in Jambi City and Muara Bungo, namely the ARIMAX model with a numerical response variable and the GLARMAmodel with a categorical response variable. The results obtained are that the ARIMAX model has a better ability to predict monthly inflation in Jambi City, while the GLARMA model has a better ability to predict monthly inflation in Muara Bungo City.
Transformasi Tenaga Kerja Sektor Pertanian di Provinsi Jambi Dwi Satria Firmansyah
Media Edukasi Data Ilmiah dan Analisis (MEDIAN) Vol 6 No 02 (2023): Media Edukasi Data Ilmiah dan Analisis (MEDIAN)
Publisher : Badan Pusat Statistik Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64679/median.v6i02.78

Abstract

One of efforts to increase economic added value is through economic structure transformation. The impact of the transformation of the economic structure is the transformation of workforce. Economic transformation that is not accompanied by labor transformation can result in lower incomes for workers in the agricultural sector and a scarcity of labor in the non-agricultural sectors. The goal of this research is to analyze the transformation of the workforce structure in Jambi Province and to build a model that can explain the transformation of the workforce structure in Jambi Province during 2018-2022. Using panel regression analysis, this research found that the GRDP ratio and average years of schooling had a linear positive effect on the transformation of labor structure. Thus, it can be said that these two variables can encourage workforce transformation in Jambi Province. Regarding the various results obtained, there are several policy suggestions and recommendations that can be given to related parties.