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All Journal Aptisi Transactions on Management Jurnal Ilmu Ekonomi Manajemen dan Akuntansi
Mona Karina
Universitas Mohammad Husni Thamrin
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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The Influence of Online Marketing Reviews and Prices on Consumer Decisions to Stay: A Case Study of the Preangar Hotel in Bandung Mona Karina; Endang Iryani
Ilmu Ekonomi Manajemen dan Akuntansi Vol. 7 No. 1 (2026): Jurnal Ilmu Ekonomi Manajemen dan Akuntansi
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/ileka.v7i1.3355

Abstract

The digital economy has transformed the way consumers seek information, evaluate options, and make purchasing decisions, particularly in intangible service sectors like hospitality. Online reviews from previous customers have become a highly influential source of information in shaping potential guests' perceptions of value and trust. This study aims to analyze the influence of online hotel marketing and pricing on consumer decisions to stay at the Preanger Hotel in Bandung. The study used a quantitative method with an explanatory approach and a cross-sectional survey design. Data were collected through questionnaires from respondents who had made online reservations in 2025. Data analysis used multiple linear regression. The results showed that online marketing reviews had a positive and significant effect on stay decisions, as did price, which also had a positive and significant effect. Simultaneously, both variables contributed 44.4% to the variation in consumer decisions. These findings confirm that digital reputation and perceived price value are important determinants in the consumer decision-making process in the hotel industry, with online reviews showing a relatively more dominant influence than price.
Gen Z Consumer Self Protection Against AI Algorithm Manipulation in E-Commerce Ependi Ependi; Mona Karina; Fery Hernaningsih; Hasan Basri; Archa Erica
APTISI Transactions on Management (ATM) Vol 10 No 3 (2026): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/7mh3jm73

Abstract

AI integration in e-commerce has significantly impacted consumer decision-making through tailored algorithms. Research Gap However, existing literature heavily focuses on quantitative acceptance models in Western contexts, leaving a significant gap in understanding how emerging market consumers, particularly Generation Z students, actively exercise autonomy against non-transparent AI practices and algorithmic manipulation. This study explores the self-protection strategies of Generation Z consumers in Jakarta navigating AI-driven platforms. Methodology Utilizing a Grounded Theory Approach, data were gathered through in-depth interviews with 11 participants to construct an inductive framework. Review & Theoretical Contribution The research introduces the Theory of Consumer Digital Self-Protection and the Capability-Trust-Context (CTC) Adaptation Model, demonstrating that digital self-protection is an adaptive, multidimensional process driven by cognitive capacity, trust mechanisms, and behavioral control. Practical Implications for HEIs. The findings highlight critical implications for Higher Education Institutions (HEIs) to advance SDG 4 (Quality Education) by integrating critical algorithmic literacy and AI ethics into university curricula, thereby empowering students to maintain decision-making autonomy in an AI-dominated digital economy.
The Impact of Dividend Policy on PT Unilever Indonesia Tbk's Stock Price: EPS and DPS Analysis for the 2015–2024 Period Albert Yansen; Nurmeitha Dwina; Mona Karina
Ilmu Ekonomi Manajemen dan Akuntansi Vol. 7 No. 1 (2026): Jurnal Ilmu Ekonomi Manajemen dan Akuntansi
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/ileka.v7i1.3326

Abstract

National Level At the national level, the Indonesia Stock Exchange (IDX) functions as the main capital market infrastructure that provides capital access for issuers and investment facilities for the public. This study aims to analyse the effect of dividend policy on the stock price of PT Unilever Indonesia Tbk. during the 2015–2024 period, focusing on the analysis of Earnings Per Share (EPS) and Dividends Per Share (DPS). The method used in this study is quantitative with a causal nature. The research design is a time series study, as data were collected from the 2015–2024 period. Data were collected from the annual financial statements and quarterly reports of PT Unilever Indonesia Tbk, which is listed on the Indonesia Stock Exchange (IDX). Data analysis was performed using Structural Equation Modelling (SEM-PLS) techniques with the assistance of Smart PLS version 4 software to test the influence between the variables studied. The results show that stable and high dividend announcements, reflected in increases in EPS and DPS values, have a significant impact on the stock price of PT Unilever Indonesia Tbk. Furthermore, DPS functions as a mediator between EPS and stock price, thereby increasing investor attractiveness to the company. The recommendation from this study is that an effective dividend policy can provide a positive signal to the market and influence stock price dynamics, so companies need to maintain a consistent dividend policy to strengthen investor confidence and stabilize stock prices in the capital market.
Co-Authors Albert Yansen Archa Erica endang Iryani Ependi Ependi Fery Hernaningsih Hasan Basri Nurmeitha Dwina