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Istian Kriya Almanfaluti
Muhammadiyah University of Sidoarjo, Indonesia
Economics, Econometrics & Finance Environmental Science

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ARTIFICIAL INTELLIGENCE (AI), DIGITAL MARKETING AND POPULARITY ON PURCHASE INTENTIONS FOR VIRTUAL CONCERTS IN KOREAN GIRLBAND AESPA Fandy Al Ubaidah; Istian Kriya Almanfaluti; Mochamad Rizal Yulianto; Alshaf Pebrianggara
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.v2i10.339

Abstract

Objective:  The impact of the Behavioral Control Model, Personal Innovation, and Technology Acceptance on Shopee Online Purchase Interest is examined in this study. Method: Data was gathered from 96 respondents via questionnaires sent to Shopee platform users utilizing a quantitative study design and SmartPLS software. Results: These results show a favorable association between the factors of the Technology Acceptance Model, Personal Innovation, and Behavioral Control, and how these affect Online Purchase Interest. The study's findings emphasize the significance of the Shopee platform's use of the technology acceptance model, consumer creativity, and the application of efficient behavioral management to boost platform users' enthusiasm in making purchases. Novelty: The implications of this research contribute to consumer understanding in the context of online product or service shopping, assisting researchers in developing strategies that can increase customer engagement and satisfaction.
ANALYSIS OF THE LSTM MODEL ON THE DEMAND PATTERNS OF INDONESIAN TRADITIONAL COOKIES IN ONLINE MARKETPLACES Luke Farrer Azsyams; Alshaf Pebrianggara; Istian Kriya Almanfaluti
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.v2i10.419

Abstract

Objective:  This study aims to analyze the application of the Long Short-Term Memory (LSTM) model in predicting demand patterns for Indonesian culinary products in online marketplaces. Method: Using monthly sales data from January 2022 to May 2024, the model was trained and evaluated with the metrics Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R². Results: The results showed an MSE of 899.70, an RMSE of 30.00, and an R² value of 0.09, indicating that the model has limitations in capturing variations in historical data. Nevertheless, LSTM still has potential as a forecasting tool for MSME entrepreneurs in decision-making related to inventory management, production planning, and marketing strategies. Novelty: Future research is recommended to expand the dataset, incorporate external factors such as seasonal trends and promotions, and explore hybrid approaches to improve prediction accuracy.
THE IMPACT OF ARTIFICIAL INTELLIGENCE (CHATGPT) ON PRODUCT AND SERVICE INNOVATION IN MICRO, SMALL, AND MEDIUM ENTERPRISES (MSMES) AMONG GENERATION Z ENTREPRENEURS Mochammad Rakha Abimanyu; Istian Kriya Almanfaluti; Bayu Hari Prasojo
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.v2i10.420

Abstract

Objective: This study aims to analyze the effect of ChatGPT utilization on product and service innovation in Micro, Small, and Medium Enterprises (MSMEs) managed by Generation Z in East Java. The purpose is to determine whether the application of artificial intelligence can significantly enhance the creativity, efficiency, and market relevance of MSME products and services. Method: The research employed a quantitative approach using a simple linear regression with the PLS-SEM method. A total of 99 respondents were selected through purposive sampling, focusing on Gen Z MSME owners who have used ChatGPT in their business activities. The data were analyzed using SmartPLS, which included measurement model testing (validity and reliability) and structural model testing (path coefficient, R², f², and significance). Results:  The findings indicate that ChatGPT usage has a positive and significant influence on product and service innovation, with a path coefficient value of 0.507, R² of 0.257, and f² of 0.346. These results demonstrate that although the explanatory power of the independent variable is statistically limited, the substantive effect is considered strong. This suggests that ChatGPT can support innovation processes by improving efficiency and enabling new ideas that align with market needs. Novelty: This research highlights the empirical evidence of how generative AI tools like ChatGPT can be directly linked to innovation outcomes among young entrepreneurs in Indonesia. The study contributes by emphasizing the role of AI adoption as a strategic driver of competitiveness for MSMEs in the digital era.
Co-Authors Alshaf Pebrianggara Bayu Hari Prasojo Fandy Al Ubaidah Luke Farrer Azsyams Mochamad Rizal Yulianto Mochammad Rakha Abimanyu