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All Journal Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal kiprah pendidikan
Rositawati, Ayu Febriana Dwi
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Pemodelan Faktor-Faktor Yang Berpengaruh Terhadap TPT Provinsi Tertinggi Di Indonesia Sebagai Dampak Dari Covid-19 Tervia, Sindy; Rositawati, Ayu Febriana Dwi; Fitri, Halumma Zulfia
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 14 No 2 (2022): Journal of Statistical Application and Computational Statistics
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v14i2.316

Abstract

Coronavirus Disease (COVID-19) is the biggest problem faced by Indonesia as well as all countries in the world. All sectors of the economy have experienced tremendous pressures that have led to an increase of the Open Unemployment Rate. The Open Unemployment Rate is the percentage of the number of unemployed to the number of labor force in a certain area. This research was conducted with the aim of knowing the factors that influence the Open Unemployment Rate. So that it is expected to provide recommendations in determining policies to overcome the problem of unemployment in Indonesia. Especially the Provinces that have the Open Unemployment Rate values above Indonesia's target value in 2020, which is 4,8 percent. The analytical method using panel regression. Panel regression was used because this study would detect and measure the impacts that simply cannot be seen in cross-section data or pure time series. The results of the panel regression analysis show that the variables of Labor Force Participation Rate, Mean Years School, Economic Growth and Population Density have a significant effect on Open Unemployment Rate in 12 Provinces of Indonesia. The panel regression model that was formed was able to explain the response variable with the goodness criteria of 90,59 percent.
MODELLING MODELLING OF READING INTEREST ELEMANTARY SCHOOL STUDENT AS AN EFFORT FOR IMPROVING THE LITERACY RATES haryanto, Albertus Eka Putra; Hibatullah, Fausania; Fannani, Nina; Rositawati, Ayu Febriana Dwi; Nazhifah, Naurah; Wulandari, Sri Pingit
Jurnal Kiprah Pendidikan Vol. 1 No. 3 (2022): Jurnal Kiprah Pendidikan | Juli 2022
Publisher : Program Studi Pendididikan Guru Sekolah Dasar Fakultas Keguruan dan Ilmu Pendidikan Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/kpd.v1i3.44

Abstract

Salah satu target pembangunan berkelanjutan (Sustainable Development Goals/SDGs) adalah meningkatkan kualitas pendidikan. Kualitas pendidikan dapat dilihat dari tingkat Indeks Pembangunan Manusia (IPM). Salah satu unsur yang digunakan untuk menghitung IPM, yaitu angka melek huruf, di mana hal tersebut dapat ditingkatkan melalui minat baca. Kota Surabaya merupakan kota besar di Indonesia, di mana minat baca di Kota Surabaya sudah tergolong tinggi. Tingginya minat baca tersebut, diduga terdapat faktor memengaruhi, seperti faktor teknologi, peran sekolah, peran orang tua dan metode bercerita. Untuk mengetahui faktor mana yang sebenarnya berpengaruh secara signifikan maka dianalisis dengan menggunakan metode Structural Equation Modelling (SEM). Hasil analisis menyimpulkan bahwa peran orang tua dan peran sekolah merupakan faktor yang berpengaruh signifikan terhadap minat baca siswa SD/sederajat di Kota Surabaya. Sedangkan teknologi dan metode bercerita tidak berpengaruh signifikan terhadap minat baca siswa SD/sederajat di Kota Surabaya.
Co-Authors Fannani, Nina Fitri, Halumma Zulfia Haryanto, Albertus Eka Putra Hibatullah, Fausania Nazhifah, Naurah Sri Pingit Wulandari Tervia, Sindy