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Luluk Fadliyanti

Biographic Data

ID10136616
NAMELuluk Fadliyanti
GIVEN NAMESLuluk
FAMILY NAMEFadliyanti
SIGNATUREFADLIYANTI L
AFFILIATIONSUniversity of Mataram
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Determinan Pengangguran

    Open Access•Baiq Amiatun Hidayah, Luluk Fadliyanti et al.•ARTICLE•KAGANGA Jurnal Pendidikan Sejarah…•2025

    This study aims to analyze the effect of economic growth, investment, the ratio of the number of students and vocational schools on unemployment in West Nusa Tenggara Province. This study uses Eviews 12 to obtain research results. The data method of this study is quantitative with secondary data obtained from the Central Statistics Agency. The research data used is panel data for 2013-2022. The analysis model used is multiple linear regression an…

  • Determinan Pengangguran Terdidik Tahun 2023 Menggunakan Analisis Regresi Logistik Biner

    Open Access•Alifya Salsabilla, Luluk Fadliyanti et al.•ARTICLE•KAGANGA Jurnal Pendidikan Sejarah…•2025

    This study aims to determine the effect of gender, age, marital status, job training, work experience and area of residence on educated unemployment in West Nusa Tenggara Province (NTB) in 2023 using binary logistic regression. The method used is binary logistic regression analysis using the Stata 17 application and using data from the National Labor Force Survey (SAKERNAS) in August 2023 with a sample size of 5,807. The results of this study ind…

  • Faktor-Faktor yang Mempengaruhi Wanita Menikah Diusia Produktif untuk Bekerja Tahun 2023

    Open Access•Annisa Dina Amalia, Annisa Rizki Amalia et al.•ARTICLE•KAGANGA Jurnal Pendidikan Sejarah…•2025

    This study aims to determine how the level of education, age, income, number of family members and place of residence of respondents affect the participation of productive-age married women to work in 2023 in NTB Province. The method used is binary logistic regression analysis using the Stata 17 application and using SAKERNAS data from August 2023 with a sample size of 5,984. The results of this study illustrate that factors of education, age, nu…

  • The impact of tourism, urbanization, globalization, and renewable energy on carbon emissions

    Open Access•Rudi Purwono, Lilik Sugiharti et al.•ARTICLE•Social Sciences & Humanities Open•2024

    This research investigates the relationship between tourism, urbanization, renewable energy, and carbon (CO2) emissions in 77 countries between 2008 and 2019. Specifically, by applying a quantile regression approach, this study delves into the existence of an inverted N-shape curve in the connection between tourism and CO2 emissions while also considering the roles of global economic activities, as indicated by the flows of tourism, trade, and fo…

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  • The impact of tourism, urbanization, globalization, and renewable energy on carbon emissions

    Open Access•Rudi Purwono, Lilik Sugiharti et al.•ARTICLE•Social Sciences & Humanities Open•2024

    This research investigates the relationship between tourism, urbanization, renewable energy, and carbon (CO2) emissions in 77 countries between 2008 and 2019. Specifically, by applying a quantile regression approach, this study delves into the existence of an inverted N-shape curve in the connection between tourism and CO2 emissions while also considering the roles of global economic activities, as indicated by the flows of tourism, trade, and fo…

  • Determinan Pengangguran

    Open Access•Baiq Amiatun Hidayah, Luluk Fadliyanti et al.•ARTICLE•KAGANGA Jurnal Pendidikan Sejarah…•2025

    This study aims to analyze the effect of economic growth, investment, the ratio of the number of students and vocational schools on unemployment in West Nusa Tenggara Province. This study uses Eviews 12 to obtain research results. The data method of this study is quantitative with secondary data obtained from the Central Statistics Agency. The research data used is panel data for 2013-2022. The analysis model used is multiple linear regression an…

  • Determinan Pengangguran Terdidik Tahun 2023 Menggunakan Analisis Regresi Logistik Biner

    Open Access•Alifya Salsabilla, Luluk Fadliyanti et al.•ARTICLE•KAGANGA Jurnal Pendidikan Sejarah…•2025

    This study aims to determine the effect of gender, age, marital status, job training, work experience and area of residence on educated unemployment in West Nusa Tenggara Province (NTB) in 2023 using binary logistic regression. The method used is binary logistic regression analysis using the Stata 17 application and using data from the National Labor Force Survey (SAKERNAS) in August 2023 with a sample size of 5,807. The results of this study ind…

  • Faktor-Faktor yang Mempengaruhi Wanita Menikah Diusia Produktif untuk Bekerja Tahun 2023

    Open Access•Annisa Dina Amalia, Annisa Rizki Amalia et al.•ARTICLE•KAGANGA Jurnal Pendidikan Sejarah…•2025

    This study aims to determine how the level of education, age, income, number of family members and place of residence of respondents affect the participation of productive-age married women to work in 2023 in NTB Province. The method used is binary logistic regression analysis using the Stata 17 application and using SAKERNAS data from August 2023 with a sample size of 5,984. The results of this study illustrate that factors of education, age, nu…

Logistic regression (2 works) · Management and Optimization Techniques (2 works) · Unemployment (2 works) · Diverse Aspects of Tourism Research (1 work) · Economic growth (1 work) · Economics (1 work) · Educational Research and Methods (1 work) · Energy, Environment, and Transportation Policies (1 work) · Energy, Environment, Economic Growth (1 work) · Fixed effects model (1 work)

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