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All Journal ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Journal of Computer Science and Technology Application
Rodriguez, Marta
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Other

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Analysis of Omni Channel Strategy in Digital Retail on Modern Indonesian Consumer Behavior: Analisis Strategi Omni Channel dalam Ritel Digital terhadap Perilaku Konsumen Indonesia Modern Baso, Farisha Andi; Sitorus, Santa Lusianna; Meilinda, Vivi; Anjani, Sheila Aulia; Rodriguez, Marta
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1226

Abstract

The development of digital technology has driven a profound transformation in the retail industry, giving rise to the omni-channel strategy as a holistic ap proach to meet modern consumer expectations. This study aims to analyze the influence of online and offline channel integration on Indonesian consumer behavior in the context of digital retail. Using a qualitative approach through literature review and secondary data analysis, this study reveals that today’s In donesian consumers show a high preference for convenience, personalization, and speed of service in the shopping experience. An omni-channel strategy enables companies to provide a consistent, adaptive, and integrated consumer journey across various interaction points, which has a positive impact on customer loyalty and operational efficiency. Furthermore, the implementation of this strategy aligns with sustainability principles, particularly in supporting Sustainable Development Goals (SDGs) 9 (industrial and infrastructure innova tion) and point 12 (responsible consumption and production). These findings confirm that the success of digital retail in Indonesia is highly dependent on the ability of business actors to strategically manage channel integration, under stand evolving consumer behavior, and prioritize sustainability values in their operations.
Mengoptimalkan Platform E-Learning Melalui Pembelajaran Adaptif untuk Demografi yang Beragam. Rodriguez, Marta; Rizky, Agung; Tanjung, Yul Ifda; Sumliyah, Sumliyah
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 1 (2025): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i1.905

Abstract

The rapid growth of e-learning and distance education platforms highlights the need for educational systems that are more inclusive and accessible to diverse demographics and ethnic groups. However, as adoption increases, challenges related to accessibility and personalized learning experiences have become more evident, especially among underrepresented groups. This study explores how adaptive learning technologies can optimize e-learning and distance education platforms to overcome these challenges and improve accessibility for diverse learners. A mixed-methods approach was used, combining surveys, interviews, and case studies with students and educators across various contexts. The study also reviews current adaptive learning technologies and their integration into online environments. The findings show that adaptive technologies significantly enhance learning experiences by personalizing content and delivery according to individual needs, thereby addressing barriers of accessibility and engagement. Moreover, these technologies help bridge educational gaps, ensuring a more equitable learning process for students from different backgrounds. The study concludes that implementing adaptive learning technologies can improve the inclusivity and accessibility of e-learning platforms, making them more effective for diverse demographic and ethnic groups. Further research is recommended to refine these technologies and examine their long-term effects on educational equity.
Optimizing Employee Performance and Sustainability with Big Data and AI in Hospitality Asti Veto Mortini; Sri Wuli Fitriati; Rahayu Puji Haryanti; Sri Wahyuni; Rodriguez, Marta
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.138

Abstract

This study explores the impact of Big Data and Artificial Intelligence (AI) on Employee Performance and Sustainability in the hospitality industry. By integrating Big Data and AI, hospitality businesses can optimize operations, enhance employee efficiency, and promote sustainable practices. The research uses SmartPLS to analyze the relationships between these variables, with a focus on how Big Data and AI influence Employee Performance, which in turn contributes to Sustainability efforts. The results show that both Big Data and AI have significant positive effects on Employee Performance, with Big Data demonstrating a stronger impact. Moreover, Employee Performance mediates the relationship between Big Data, AI, and Sustainability, indicating that improvements in employee performance lead to better sustainability outcomes, such as resource optimization and waste reduction. The study’s findings align with SDG 8 (Decent Work and Economic Growth) and SDG 12 (Responsible Consumption and Production), highlighting the potential of technology to drive both economic and environmental sustainability in the hospitality sector. This research contributes to understanding how the application of Big Data and AI can help hospitality businesses achieve long-term success through improved operational efficiency and sustainable practices
Co-Authors Anjani, Sheila Aulia Asti Veto Mortini Farisha Andi Baso, Farisha Andi Meilinda, Vivi Rahayu Puji Haryanti Rizky, Agung Sitorus, Santa Lusianna Sri Wahyuni Sri Wuli Fitriati Sumliyah, Sumliyah Yul Ifda Tanjung, Yul Ifda