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ANALISIS DAMPAK INDUSTRI MIKRO DAN KECIL TERHADAP PERTUMBUHAN EKONOMI INDONESIA DENGAN PENDEKATAN EKONOMETRIK REGRESI SPASIAL PADA DATA PANEL Ningrum, Ameylia Daniek Setiya; Cantika, Rizkha Arum; Oktafianto, Ifan Surya Dwi; Saputra, Aryogi Adi; Farhan, Muhammad; Ayu, Delonika Diah
Determinasi: Jurnal Penelitian Ekonomi Manajemen dan Akuntansi Vol. 3 No. 3 (2025)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/determinasi.v3i3.485

Abstract

One way to evaluate a country's economic condition is by examining the Gross Domestic Product (GDP) at the national level or the Gross Regional Domestic Product (GRDP) at the regional level. In Indonesia, the manufacturing industry is the largest contributor to GDP. Within this sector, micro and small-scale industries (MSIs) play a vital role. MSIs significantly drive economic development, with their impact varying across different geographical locations, thus influencing the GRDP of various regions. Therefore, it is essential to analyze GRDP with spatial considerations, examining how the MSI sector affects economic growth in Indonesia through spatial panel data regression. This study employs spatial models such as the Spatial Autoregressive Model (SAR) and the Spatial Error Model (SEM) with fixed effects to understand these dynamics. The research aims to identify and describe the MSI-related factors that affect economic growth in Indonesia's provinces. The findings indicate that the most suitable model is the Spatial Autoregressive Model Fixed Effect (SAR-FE). The study identifies two significant independent variables influencing economic growth: the number of micro and small-scale industries (X1) and inflation (X6). The results demonstrate that increases in these variables correlate with a decrease in the economic growth rate.
Role of Consumer Engagement in TikTok Content and Fashion Purchase Decisions among Gen Z Muslims Saputra, Aryogi Adi; Sholahuddin, Muhammad
Jurnal Mirai Management Vol 11, No 1 (2026)
Publisher : STIE AMKOP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/mirai.v11i1.11716

Abstract

The emergence of digital marketing strategies centered around social media platforms, notably TikTok, has significantly transformed the purchasing behaviors of Generation Z consumers in the fashion sector. Nonetheless, the underlying psychological processes that connect the impact of digital content to purchasing decisions remain underexplored. This research endeavors to examine the effect of TikTok content on fashion-related purchasing choices, specifically considering consumer engagement as a mediating factor among Muslim Generation Z individuals. Employing a quantitative methodology, the study surveyed 150 participants and analyzed the data using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). The findings indicated that TikTok content exerted a positive and statistically significant influence on both consumer engagement and purchasing decisions, with consumer engagement serving as a significant mediator in these dynamics. The originality of this study resides in the incorporation of consumer engagement as a mediating construct within the framework of Muslim fashion and the Generation Z demographic. The research contributes to the theoretical discourse surrounding digital consumer behavior and offers practical insights for content-oriented marketing strategies on the TikTok platform.