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International Journal of Artificial Intelligence for Digital Marketing
Published by PT. Antis International Publisher
ISSN : -     EISSN : 30472903     DOI : https://doi.org/10.61796/ijaifd
Core Subject : Economy, Social,
Economics, Econometrics & Finance Environmental Science
International Journal of Artificial Intelligence for Digital Marketing proposes and fosters discussion on cutting-edge system theory and grounded research and practice addressing new ways of thinking, models and methodologies for understanding and acting within the complexities of market and organisational environments. The journal seeks to contribute to debates concerning the challenges of today regarding local and global economies and society. International Journal of Artificial Intelligence for Digital Marketing - provides a pragmatic view of the future of this area of marketing and focuses on what they describe as the tangible benefits offered by AI solutions. International Journal of Artificial Intelligence for Digital Marketing is designed to accelerate the adoption of AI technologies in the rapidly evolving digital marketing landscape and employs a comprehensive approach, incorporating surveys, exploration of existing AI solutions, and in-depth analysis of the results obtained.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 68 Documents
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SENTIMENT ANALYSIS OF INDRIVE APP USAGE REVIEWS ON GOOGLE PLAYSTORE USING SUPPORT VECTOR MACHINE (SVM) AND NAÏVE BAYES ALGORITHM Romadhoni, Afifani Aulida; Rachmadany, Andry; Prasojo, Bayu Hari
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 10 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i10.421

Abstract

Objective: This study aims to analyze user sentiment toward the InDrive application on Google Play Store by employing Support Vector Machine (SVM) and Naïve Bayes algorithms, motivated by the increasing number of user reviews that are difficult to evaluate manually, thus requiring a text mining approach to efficiently classify opinions into positive and negative categories. Method: A dataset of 30,000 reviews was collected through web scraping, and the analysis involved several stages, including preprocessing (cleaning, case folding, normalization, tokenizing, stopword removal, and stemming), term weighting using TF-IDF, and classification using SVM and Naïve Bayes. Results: The results revealed that SVM outperformed Naïve Bayes with an accuracy of 78%, precision of 0.80, and recall of 0.74, whereas Naïve Bayes achieved 76% accuracy, 0.79 precision, and 0.70 recall, indicating that SVM is more effective in handling complex user review data compared to Naïve Bayes. Novelty: The novelty of this research lies in applying a comparative study of the two algorithms to InDrive application reviews, which has not been extensively explored, and is expected to provide insights for developers to better understand user perceptions and improve the quality of application services.
THE EFFECT OF LIVE STREAMING, RATINGS, AND PRODUCT REVIEWS ON PURCHASING DECISIONS FOR COMPASS SHOE PRODUCTS IN THE SHOPEE APPLICATION Khaqi, M. Ivan Imanulloh; Yulianto, Mochamad Rizal; Rachmadany, Andry
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 10 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i10.422

Abstract

Objective: This study aims to analyze the effect of the live streaming feature, product ratings, and product reviews on purchasing decisions for Compass shoes in the Shopee application. Method: Using multiple linear regression techniques, the study identified that all independent variables (live streaming, ratings, and product reviews) have a positive and significant relationship to purchasing decisions, and the research instrument proved to be reliable with Cronbach's Alpha and Composite Reliability values above 0.7 for all constructs. Results: The analysis results show that the product review variable (X3) has the most significant influence, while live streaming (X1) has the smallest influence, and the research model shows moderate predictive power of purchasing decisions (R Square=0.528). Novelty: This finding confirms the importance of reviews, ratings, and real-time interactions in encouraging consumers to make purchasing decisions in digital marketplaces.
THE INFLUENCE OF CONTENT MARKETING, E-WOM, AND BRAND AWARENESS ON PURCHASE INTENTION OF EIGER PRODUCTS ON TIKTOK AMONG GENERATION Z Nafi’, Ahmad Rosyidun; Yulianto, Mochamad Rizal; Rachmadany, Andry
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 10 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i10.423

Abstract

Objective: This study aims to analyze the influence of Content Marketing, Electronic Word of Mouth (E-WOM), and Brand Awareness on the Purchase Intention of Eiger products among Generation Z on TikTok, focusing on identifying which factors most effectively drive consumer decisions in the digital-native segment. Method: A quantitative descriptive approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM), with data collected from 96 Generation Z respondents who actively use TikTok and have been exposed to Eiger promotional content. A purposive sampling method was applied, and measurements were conducted using a Likert-scale questionnaire based on established indicators for each variable. Results: The findings reveal that Brand Awareness significantly and positively influences purchase intention, while Content Marketing and E-WOM do not show a significant impact. The R-square value of 0.778 indicates that 77.8% of the variance in purchase intention can be explained by the tested variables, with brand awareness emerging as the dominant factor. Novelty: Unlike many prior studies highlighting the role of content marketing and E-WOM in driving Generation Z consumer behavior, this research demonstrates that on TikTok, purchase intention is primarily shaped by brand awareness. This highlights the strategic importance of enhancing brand presence, consistent messaging, and digital engagement to strengthen consumer trust and encourage purchasing decisions.
THE INFLUENCE OF TIKTOK SHOP’S PREDATORY PRICING ON CONSUMER ATTRACTION AND PURCHASING DECISIONS OF FASHION PRODUCTS AMONG GENERATION Z Priyanto, Ramadhani Dwi; Pebrianggara, Alshaf; Yulianto, Mochamad Rizal
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 10 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i10.424

Abstract

Objective: This study aims to empirically examine the effect of predatory pricing strategies on consumer attraction and purchasing decisions of fashion products on TikTok Shop among Generation Z, with consumer attraction serving as a mediating variable. Method: This study employed a quantitative approach with an explanatory research design and analyzed the data using Partial Least Squares Structural Equation Modeling (PLS-SEM). The sample consisted of 100 Generation Z respondents in Indonesia who actively shop for fashion products on TikTok Shop. Data were collected through a five-point Likert scale questionnaire distributed online and analyzed using SmartPLS. Result: The findings indicate that predatory pricing has a significant positive effect on both consumer attraction and purchasing decisions. Consumer attraction was also found to positively influence purchasing decisions and partially mediates the relationship between predatory pricing and purchasing decisions. The R² values for consumer attraction (0.871) and purchasing decisions (0.847) demonstrate very strong explanatory power, while the Q² values for each construct (>0.35) indicate high predictive relevance. Novelty: This study confirms that although extreme pricing strategies can trigger impulsive purchases and increase purchase urgency among Generation Z, long-term reliance on such practices may erode consumer trust and undermine market sustainability. Unlike previous studies that focused primarily on regulatory aspects and SMEs, this research provides empirical evidence of the paradoxical effects of predatory pricing on digital-native consumer behavior.
AI-ENABLED MANAGEMENT INFORMATION SYSTEMS FOR CREDIT AND MARKET RISK PREDICTION: EFFECTS ON ACCOUNTING DECISION QUALITY Ahmed, Md. Jobayer
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 11 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i11.438

Abstract

Objective: This study aims to examine the role of Artificial Intelligence (AI) in enhancing financial risk management and accounting decision-making, with a particular focus on credit and market risk prediction, efficiency of Management Information Systems (MIS), and the accuracy of financial reporting. Method: The study adopts a conceptual and analytical approach by synthesizing recent scholarly literature and real-world practices from financial institutions to evaluate the application of AI techniques, including machine learning and natural language processing, in risk assessment and accounting processes. Results: The findings indicate that AI-powered MIS significantly improves the speed, precision, and reliability of risk prediction and accounting operations by enabling real-time data analysis, anomaly detection, and automation of routine accounting tasks. These capabilities reduce human error, enhance regulatory compliance, and support more informed managerial decisions. However, the results also reveal critical challenges related to data quality, model transparency, algorithmic bias, governance structures, legal accountability, and high implementation costs, which may hinder effective adoption if not properly managed. Novelty: This study highlights the integrated perspective of AI-driven risk management and accounting while emphasizing the necessity of ethical governance frameworks and the future potential of combining AI with emerging technologies such as blockchain and the Internet of Things to build resilient and transparent financial systems.
INTERNET FINANCIAL REPORTING: ANALYSIS OF LITERATURE ON EVOLUTION REPORTING CORPORATIONS IN THE INDUSTRY 4.0 ERA Abidin, Fityan Izza Noor; Ningdiyah, Endra Wahyu; Hariyanto, Wiwit; Rahayu, Ruci Arizanda
International Journal of Artificial Intelligence for Digital Marketing Vol. 3 No. 1 (2026): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v3i1.447

Abstract

Objective: Study this aim to analyze systematically the development of Internet Financial Reporting (IFR), factors that influence its implementation, as well as the impact on the market company. Method: Approach Systematic Literature Review (SLR) is used with follow PRISMA 2020 guide, which includes stages of identification, screening, assessment of eligibility, and inclusion. Of the 563 articles identified, 36 studies fulfil criteria and were analyzed further. Study data extracted using framework analysis, thematic, and cluster analysis to identify patterns and relationships between the draft.  Results:  Research results show three main. First, IFR determinants include characteristics of the company (size, profitability, leverage, liquidity), governance of companies, intellectual capital, and pressure institutions that have a significant to level IFR disclosure. Second, the implementation and quality of IFR varies widely between companies and countries, influenced by infrastructure technology, capabilities, source of power, human beings, and the equipment used for the information. Third, IFR has a proven positive impact positive to mark company through improving transparency, reducing information asymmetry, and providing a reinforcement signal to investors, even though a number of studies find an impact that is not significant.  Novelty: In a way, research This conclude that IFR is an instrument strategic in increase the quality of disclosure of companies and market perception of the company. These results give contribution for academics, practitioners, and regulators in understanding IFR dynamics as well as directing further development study furthermore.
THE ROLE OF GOVERNMENT POLICIES IN MODERATING THE EFFECT OF SOCIAL MEDIA INNOVATION ADOPTION AND ENTREPRENEURIAL ORIENTATION ON PERFORMANCE OF MSMES IN JEWELRY CRAFTS GIANYAR REGENCY Antari, Ni Putu Wedayani; Ni Wayan Ardani; Usadha , I Dewa Nyoman
International Journal of Artificial Intelligence for Digital Marketing Vol. 3 No. 1 (2026): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v3i1.456

Abstract

Objective: Micro, Small, and Medium Enterprises (MSMEs) in jewelry handicrafts in Gianyar Regency are facing the challenge of digital adaptation and increasingly competitive market dynamics. The adoption of social media innovation and entrepreneurship orientation is seen as a strategic factor in improving the performance of MSMEs, but its effectiveness is highly dependent on government policy support. This study aims to analyze the influence of social media innovation adoption and entrepreneurial orientation on the performance of MSMEs, as well as test the role of government policies as a moderation variable. Method:  This study uses a quantitative approach with an explanatory design. Data was collected through a questionnaire on 153 jewelry handicraft MSME actors in Gianyar Regency. Data analysis was conducted using Partial Least Square–Structural Equation Modeling (PLS-SEM) to test the direct influence and moderation effect between variables. Results: The results of the study show that the adoption of social media innovation and entrepreneurial orientation has a positive and significant effect on the performance of MSMEs. In addition, government policies have been proven to play a role as a moderation variable that strengthens the influence of the adoption of social media innovations and entrepreneurial orientation on the performance of MSMEs. Policy support in the form of fiscal incentives, access to financing, and digital facilitation increases the effectiveness of MSMEs' internal strategies in producing more optimal performance. Novelty: These findings confirm the importance of synergy between the internal capabilities of MSMEs and government policy support. Social media and entrepreneurship orientation have a stronger performance impact when supported by a conducive and responsive policy environment to the needs of MSMEs in the digital era.
THE EFFECT OF BRAND TRUST AND PERCEIVED RISK ON CUSTOMER LOYALTY MEDIATED BY CUSTOMER SATISFACTION (A STUDY OF DAVIENA SKINCARE CUSTOMERS ON TIKTOK SHOP) Luthfiyani, Andhika Ayu; Yani , Muhammad; Yulianto, Mochamad Rizal; Sukmono, Rita Ambarwati
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 11 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i11.457

Abstract

Objective: The purpose of this study is to analyze the effect of brand trust and perceived risk on customer loyalty, customer satisfaction as a mediator, for Daviena Skincare products distributed by TikTok Shop. The issue of product overclaims present in the marketing of skincare products, specifically for Indonesia generally and for Daviena Skincare in particular, contributed to consumer uncertainty, which can hamper brand trust, perceived risk, and customer loyalty. Method: The approach and strategy for this study are quantitative, specifically represented by surveys, with 150 respondents who are customers of Daviena Skincare, having transacted at least twice at TikTok Shop. Results: The findings from this study show that brand trust and perceived risk affected customer satisfaction on TikTok Shop, customer satisfaction affected customer loyalty, and brand trust and perceived risk directly affected customer loyalty. The findings show that customer satisfaction can mediate the relationship between Brand Trust, Perceived Risk, and Customer Loyalty for Daviena Skincare on TikTok Shop. Novelty: The development of social media and e-commerce, specifically TikTok Shop, has fueled competition in the local skincare industry in Indonesia, highlighting the role of customer satisfaction as a mediating variable in the relationship between brand trust, perceived risk, and customer loyalty for Daviena Skincare products distributed through TikTok Shop.
RENTAL PROCEDURES AND LEGAL CHALLENGES IN THE WEDDING ORGANIZER INDUSTRY: OWNERS' AND PRACTITIONERS' PERSPECTIVES Mulya, Batari; Multazam , Mochammad Tanzil
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 11 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i11.458

Abstract

Objective: Marriage is an important moment that requires careful planning and involves many vendors, but it can lead to legal issues that harm clients, vendors, and wedding organizers (WO). Some common legal issues include discrepancies in goods, delayed returns, damage to items, and contract misunderstandings. Method: This study uses in-depth interviews with experienced practitioners and references from trusted sources. Results: Interviews with sources reveal that clear agreements and good communication can prevent legal problems. The findings show that while the wedding organizer industry offers significant profits, legal challenges such as payment issues between vendors and WOs, as well as event cancellations, are common. Solutions to reduce legal risks include drafting detailed contracts, ensuring effective communication, and implementing procedures in accordance with the law to create harmonious relationships and minimize disputes. Novelty: The study highlights the importance of legal awareness and preventive legal strategies in the wedding organizer industry by emphasizing structured agreements, communication, and legal procedures to minimize disputes among clients, vendors, and wedding organizers.
THE INFLUENCE OF SERVICE QUALITY, PRICE, AND PROMOTION ON CONSUMER SATISFACTION AT AHASS ANUGERAH DISA MOTOR SIDOARJO Istandi , Bilda; Firdaus , Vera; Andriani, Dewi
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 11 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i11.459

Abstract

Objective: This study aims to determine the effect of service quality, price and promotion on consumer satisfaction. Method: This study uses a quantitative approach as a research method. The population of this study is all consumers of Ahass Anugerah Disa Motor Sidoarjo who service and purchase spare parts at Ahass Anugerah Disa Motor Sidoarjo. This study uses a sample of 100 people selected based on respondent criteria using a purposive random sampling technique. The data used in this study are primary data, obtained through distributing questionnaires via Google From distributed to consumers. Quantitative data analysis techniques use statistical methods to analyze the data. The statistical method used is SPSS 25. Results: Based on the results of the study, it was found that service quality has a positive and significant effect on consumer satisfaction of Ahass Anugerah Disa Motor Sidoarjo. Price has a positive and significant effect on consumer satisfaction of Ahass Anugerah Disa Motor Sidoarjo. Promotion has a positive and significant effect on consumer satisfaction of Ahass Anugerah Disa Motor Sidoarjo. Furthermore, in this context, service quality, price, and promotion were simultaneously proven to have a significant impact on customer satisfaction at Ahass Anugerah Disa Motor Sidoarjo. Novelty: This study highlights the simultaneous influence of service quality, price, and promotion on consumer satisfaction in the context of motorcycle service and spare part purchasing at Ahass Anugerah Disa Motor Sidoarjo.

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