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All Journal J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika The Indonesian Journal of Social Studies Jurnal Kajian Ekonomi dan Pembangunan JEPI
Yuhan, Risni Julaeni
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences Other

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PENERAPAN PATH ANALYSIS TERHADAP FAKTOR-FAKTOR YANG MEMPENGARUHI IPM DAN KEMISKINAN DI INDONESIA TAHUN 2019 Putra, Andika Nikola; Tobing, Helen Fricylya Br; Rahajeng, Ossy Sanityasa; Yuhan, Risni Julaeni
The Indonesian Journal of Social Studies Vol 3, No 1 (2020): July
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ijss.v3n1.p37-45

Abstract

Poverty is a complex and multidimensional problem so that it becomes a development priority. One of the measurement tools commonly used in seeing the quality of human life is the human development index. The purpose of this study is to analyze the HDI in Indonesia including poverty which is a general impact. The analysis was conducted using the Path Analysis method approach which is an extension of the regression analysis. The factors that had the greatest influence on HDI values in Indonesia in 2019 were Life Expectancy, then Regional Original Income, then Old School Expectations and who had the smallest influence and had a negative effect on HDI values in Indonesia in 2019 were the Number of Hospitals. The factor that has the greatest influence and has a negative influence on the percentage of poor population in Indonesia in 2019 is the Human Development Index, and another factor that also affects the percentage of poor population in Indonesia in 2019 is Hope for School Duration.
PERBANDINGAN FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PENGANGGURAN TERBUKA DI INDONESIA SEBELUM DAN SAAT PANDEMI COVID-19 Putri, Adinda; Azzahra, Alya; Andiany, Denita Dwi; Abdurohman, Dicki; Sinaga, Prido Putra; Yuhan, Risni Julaeni
Jurnal Kajian Ekonomi dan Pembangunan Vol 3, No 2 (2021): Jurnal Kajian Ekonomi dan Pembangunan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.67 KB) | DOI: 10.24036/jkep.v3i2.11592

Abstract

Since Covid-19 arrived in Indonesia, all policies have been carried out to stop the spread of this virus, one of which is the PSBB. The impact of the PSBB is felt by the drastic increase in the number of unemployed in Indonesia. Using Multiple Classification Analysis (MCA), this research was conducted in order to see the condition of the Open Unemployment Rate (TPT) in each province in Indonesia between before and during the pandemic, and to find out the factors that influenced it. The results show that both before and after the pandemic, provinces with an HDI below the national figure led to higher TPT. The growth rate of GDRP and UMP has a different effect between before and during the pandemic. Other results also show that before the pandemic, UMP had the greatest influence on TPT. But after the pandemic, the one that had the biggest impact was HDI.
Pemodelan Kasus Kumulatif Covid-19 di Pulau Jawa dan Bali Dengan Pendekatan Multiple Classification Analysis (MCA) Yakhamid, Rezky Yayang; Wahyuni, Amelia Tri; Pangestika, Nadidah; Hanifah; Myarsithawan, Putu Adi; Yuhan, Risni Julaeni
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 14 No 2 (2021): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Fakultas Sains dan Teknologi Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.829 KB) | DOI: 10.36456/jstat.vol14.no2.a4217

Abstract

Pada Maret 2020, pandemi global Covid-19 yang disebabkan oleh virus SARS-CoV-2 mulai menyerang Indonesia. Tingginya jumlah kasus kumulatif Covid-19 mengakibatkan diberlakukannya kebijakan PSBB (Pembatasan Sosial Berskala Besar) di Indonesia. Meski kebijakan PSBB sempat dihapuskan karena penyebaran Covid-19 yang menurun, tetapi kemudian diberlakukan kebijakan baru berupa PPKM (Pemberlakuan Pembatasan Kegiatan Masyarakat) di Pulau Jawa dan Bali karena tingginya kasus kumulatif Covid-19 di wilayah tersebut. Tujuan dari penelitian ini adalah untuk mengetahui faktor-faktor yang memengaruhi jumlah kasus kumulatif Covid-19 di Pulau Jawa dan Bali. Metode analisis yang digunakan dalam penelitian ini adalah MCA (Multiple Classification Analysis). Adapun variabel yang diduga memengaruhi jumlah kasus kumulatif Covid-19 yaitu klasifikasi daerah, kepadatan penduduk, persentase penduduk lansia, dan PDRB per kapita. Hasil penelitian menunjukkan bahwa pada tingkat signifikasi 5%, variabel klasifikasi daerah, kepadatan penduduk, persentase penduduk lansia, dan PDRB per kapita berpengaruh signifikan terhadap jumlah kasus kumulatif Covid-19 di Pulau Jawa dan Bali.
Direct dan Indirect Effect: Determinan Upah Minimum Kabupaten/Kota di Jawa Barat Husada, Alphin Pratama; Yuhan, Risni Julaeni
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 22, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the determinants of the regional minimum wage (UMK) directly and indirectly in West Java in year 2010–2019. The author found that the minimum wage model that considers spatial dependence produces two different interpretations, namely direct and indirect impacts. The regression model used in this study is the spatial durbin model (SDM). In the spatial model, partial reduction is carried out to get direct and indirect effects. The results of the study show that there are direct and indirect influences originating from the MSE variables, Gross Regional Domestic Product (GRDP), Human Development Index (HDI) and the Labor Force Participation Rate (TPAK).
Co-Authors Abdurohman, Dicki Andiany, Denita Dwi Azzahra, Alya Hanifah Husada, Alphin Pratama Myarsithawan, Putu Adi Pangestika, Nadidah Putra, Andika Nikola Putri, Adinda Rahajeng, Ossy Sanityasa Sinaga, Prido Putra Tobing, Helen Fricylya Br Wahyuni, Amelia Tri Yakhamid, Rezky Yayang