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Fajar Isnaeni
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Economics, Econometrics & Finance Education Mathematics Physics Social Sciences Other

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ANALISIS DAMPAK DAYA TARIK WISATA MENGGUNAKAN PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODELING (PLS-SEM) Auda Nuril Zazilah; Sri Hidayati; Fajar Isnaeni
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol. 8 No. 1 (2023): Juli
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v8i1.4776

Abstract

This study aims to analyze the impact of the tourist attraction of Oling River Food Banyuwangi on the social, economic and environmental fields. By using Partial Least Square – Structural Equation Modeling (PLS-SEM) which is based on the Ordinary Least Square (OLS) method, it is found that tourist attraction to the economy has a significant positive effect with a path coefficient of 0.75, a positive effect on the environment and a significant effect with a path coefficient of 0.67 , as well as a positive and significant social effect with a path coefficient of 0.832. The tourist attraction variable is significantly influenced by the environment, social, economy by 69.2%. This means that if the tourist attraction of oling river food is getting better and growing, the community's economy will increase, the environment will be better maintained and the social relations of the surrounding community will get better.
DETERMINASI INDEKS PEMBANGUNAN MANUSIA TERHADAP PENGELUARAN PERKAPITA Fajar Isnaeni; Mohammad Riza Pahlevi
ICO EDUSHA Vol. 4 No. 1 (2023): The Fourth ICO EDUSHA 2023
Publisher : STAI AN-NAJAH INDONESIA MANDIRI

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Abstract

This research aims to analyze to analyze the determination of the human development index on per capita expenditure in Banyuwangi Regency. The method used is a quantitative approach by analyzing secondary data sourced from the Banyuwangi Regency Central Statistics Agency, data for 2015-2022. Data analysis uses Multiple Regression with the IBM SPSS analysis tool. The research results show that there is a significant influence between the human development index on per capita expenditure in Banyuwangi Regency with a coefficient of determination value of 90.8%. Keywords: Human Development Index (HDI), Per Capita Expenditure, Banyuwangi Regency Abstrak: Tujuan penelitian ini adalah untuk menganalisis determinasi indeks pembangunan manusia terhadap pengeluaran perkapita di Kabupaten Banyuwangi. Metode yang digunakan dengan pendekatan kuantitatif dengan menganalisis data sekunder yang bersumber dari Badan Pusat Statistik Kabupaten Banyuwangi data Tahun 2015-2022 Analisis data menggunakan Regresi Berganda dengan alat analisis IBM SPSS. Hasil penelitian menunjukkan bahwa terdapat pengaruh yang signifikan antara indeks pembangunan manusia terhadap pengeluaran perkapita di Kabupaten Banyuwangi dengan nilai koefisien determinasi 90,8%. Kata Kunci: Indeks Pembangunan Manusia (IPM), Pengeluaran Perkapita, Kabupaten Banyuwangi
Co-Authors Auda Nuril Zazilah Mohammad Riza Pahlevi Sri Hidayati