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All Journal Socius: Social Sciences Research Journal Jurnal Ilmiah Ekonomi dan Manajemen
Gempati, Abel
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Religion Arts Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Other

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Pengaruh Sosial Ekonomi Terhadap Ketimpangan Pendapatan di Provinsi Bali Tahun 2019–2023 Rasendriya, Cetta; Kenanga, Annisa Bulan; Wahdah, Firosa Aniqotul; Wulandari, Mayva; Gempati, Abel; Rahajeng, Anggi
Socius: Jurnal Penelitian Ilmu-Ilmu Sosial Vol 2, No 12 (2025): July 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15683326

Abstract

This study aims to determine the effect of IPM, PMA, PDRB, RLS, and population density variables on income distribution inequality in Bali Province. This study employs a quantitative approach, utilizing panel data analysis processed with EViews. The results of this study indicate that HDI has a negative and significant effect, Foreign Direct Investment (FDI) has a positive and significant impact, RLS also shows a positive and significant effect, while GRDP does not show a significant impact on inequality, and Population Density has a positive and significant effect on income distribution inequality in Bali Province. Based on spatial analysis using the hotspot method, the area with high-income distribution inequality based on the Gini Ratio Index data for Bali Province from 2019 to 2023 is Denpasar City.
PERAMALAN DATA IHSG 2021-2025 DI INDONESIA DENGAN TIME SERIES MODELING AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Gempati, Abel; Faisal Agymnastiar Rahmad Fradani; Rayya Malik Ibrahim; Tenry Kusuma Astuti; Yusuf Riyan Prasetyo; Laksmi Yustika Devi
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 3 No. 5 (2025): JURNAL ILMIAH EKONOMI DAN MANAJEMEN (JIEM) Mei
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v3i5.4650

Abstract

The real-time and fluctuating movements of the Indonesian Stock Exchange Composite Stock Price Index (Composite Stock Price Index) are often used by stakeholders, especially investors, as a reference in making investment decisions. This research aims to predict the Indonesian Stock Exchange Composite Stock Price Index (IDX Composite Index) using the Autoregressive Integrated Moving Average (ARIMA) time series model. Based on the results of research that has been carried out, the ARIMA model chosen is ARIMA 1 1 1. Therefore, by using this model forecasts can be made for ten weeks.
Co-Authors Anggi Rahajeng, Anggi Faisal Agymnastiar Rahmad Fradani Kenanga, Annisa Bulan Laksmi Yustika Devi Rasendriya, Cetta Rayya Malik Ibrahim Tenry Kusuma Astuti Wahdah, Firosa Aniqotul Wulandari, Mayva Yusuf Riyan Prasetyo