Yulianto
Universitas Pamulang

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PENGARUH UKURAN PERUSAHAAN, UMUR PERUSAHAAN DAN KINERJA LINGKUNGAN TERHADAP HARGA SAHAM Cindi Pelicia Andiyani Putri; Yulianto
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 1 No. 4 (2023): Desember
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v1i4.418

Abstract

Penelitian ini bertujuan untuk menguji dan memperoleh bukti secara empiris mengenai Pengaruh Ukuran Perusahaan, Umur Perusahaan dan Kinerja Lingkungan Terhadap Harga Saham pada perusahaan sektor industri yang terdaftar di Bursa Efek Indonesia tahun 2017-2022. Teknik pengumpulan sampel penelitian menggunakan metode purposive sampling, sehingga menghasilkan sampel sebanyak 22 perusahaan dengan jumlah observasi sebanyak 132 data dan menggunakan pendekatan kuantitatif asosiatif. Teknik analisis data yang digunakan adalah analisis regresi linier berganda, dengan pengolahan data menggunakan Eviews 12. Hasil penelitian menunjukan bahwa secara simultan variable Ukuran Perusahaan, Umur Perusahaan dan Kinerja Lingkungan berpengaruh terhadap Harga Saham. Secara parsial Ukuran Perusahaan dan Kinerja Lingkungan tidak berpengaruh terhadap Harga saham dan Umur Perusahaan berpengaruh terhadap Harga Saham. Kata kunci: Ukuran Perusahaan; Umur Perusahaan; Kinerja Lingkungan; Harga Saham.
Dinamika Kepercayaan Konsumen Terhadap Visualisasi Iklan Berbasis AI di Marketplace Nurmono; Syamsul Mu`arif; Yulianto; Bagus Saputra
Pantarei Vol 2 No 1 (2026): Media, Kreativitas, dan Inovasi di Era Transformasi Digital
Publisher : Prodi Ilmu Komunikasi Fakultas Komunikasi & Desain Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/ptr.v2i1.350

Abstract

This study aims to analyze the impact of artificial intelligence (AI) utilization in product advertising visualization on consumer trust and responses within e-commerce platforms, particularly Shopee. Along with the increasing adoption of AI in generating more aesthetic and appealing visual content, concerns have emerged regarding the discrepancy between product representations in advertisements and the actual conditions of products received by consumers. This research employs a mixed-method approach, combining qualitative analysis of consumer reviews and visual product observations with quantitative analysis through the measurement of consumer response frequencies. The data were collected from ten popular products on Shopee that utilize AI-based visual content. The findings indicate that the use of AI in advertising is correlated with increased consumer distrust, as reflected in complaints about product discrepancies, perceptions of exaggerated advertising, and a growing demand for authentic evidence such as real-time photos or videos. Nevertheless, some consumers still exhibit positive responses toward the visual appeal generated by AI. These results suggest that AI plays a dual role as both an enhancer of visual aesthetics and a potential factor that may undermine credibility. Therefore, more transparent and ethical marketing strategies in the use of AI are required to maintain consumer trust. This study contributes to a deeper understanding of the dynamic relationship between AI technology, visual communication, and consumer behavior in the context of e-commerce.