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All Journal International Journal of Advanced Multidisciplinary Siber International Journal of Digital Business Siber International Journal of Education Technology Dinasti Accounting Review Dinasti Health and Pharmacy Science SYSTEMIC RESEARCH: Systemic and Information Technology Journal
Ridwan
Institut Teknologi dan Bisnis Dewantara, Bogor, Indonesia
Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Analysis of Artificial Intelligence Algorithms for Enhancing Digital Marketing Efficiency Arman Andrian; andri catur trissetianto andri; Ridwan
SYSTEMIC RESEARCH: Systemic and Information Technology Journal Vol. 1 No. 1 (2025): July 2025
Publisher : Greenation Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/h0tkm195

Abstract

This research investigates the role of artificial intelligence (AI) algorithms in enhancing the efficiency of digital marketing efforts. Despite the rapid adoption of AI technologies in marketing, a significant research gap exists in understanding how these algorithms influence both performance metrics and user acceptance, while addressing implementation challenges and ethical concerns. The study aims to analyze the impact of AI algorithms on key digital marketing outcomes and explore the associated factors affecting their adoption. Employing a mixed-methods approach, quantitative data were analyzed using statistical models to measure performance improvements, while qualitative data were coded to extract themes related to benefits, challenges, and ethics. The results reveal that AI algorithms substantially improve conversion rates and click-through rates, with positive associations to perceived benefits and user acceptance. However, implementation barriers and ethical issues pose notable constraints on effectiveness. The novelty of this research lies in its integrated analysis combining quantitative metrics with qualitative insights, providing a holistic understanding of AI’s dual impact in marketing environments. The study concludes that while AI significantly advances digital marketing efficiency, careful consideration of practical and ethical dimensions is crucial for sustainable adoption.
The Influence of Generative AI on Content Creation and Consumer Trust in Global Markets Andri Catur Trissetianto; Ridwan
SYSTEMIC RESEARCH: Systemic and Information Technology Journal Vol. 1 No. 1 (2025): July 2025
Publisher : Greenation Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/5wz36z46

Abstract

The rapid integration of generative AI in digital marketing has transformed content creation and consumer engagement globally. This study investigates the influence of generative AI on content creation and consumer trust in global markets. The research employs a mixed-methods approach, combining quantitative analysis of global marketing campaigns with qualitative insights from consumer surveys and expert interviews. The findings reveal that generative AI enhances content personalization and operational efficiency, leading to increased consumer engagement. However, consumer trust is contingent upon transparency, ethical use, and regional considerations. The study underscores the importance of ethical frameworks and strategic localization to maximize AI's benefits while mitigating associated risks. This research provides valuable insights into the evolving role of AI in global digital marketing, offering a foundation for future studies on AI's impact on consumer behavior and marketing strategies.
Case Study of the Use of Big Data in Business Decision Making Ruben Burga; Ridwan
Siber International Journal of Digital Business (SIJDB) Vol. 2 No. 4 (2025): (SIJDB) Siber International Journal of Digital Business (April - June 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v2i4.177

Abstract

This study explores the impact of Big Data Analytics (BDA) on business decision-making and business performance at PT XYZ, a leading e-commerce company in Indonesia. As businesses increasingly rely on data-driven strategies to remain competitive, Big Data has emerged as a critical tool for enhancing decision-making processes and optimizing business outcomes. The primary objectives of this study were to analyze how PT XYZ utilizes Big Data to inform strategic and operational decisions, to assess the benefits of this implementation, and to identify the challenges faced during the process. Through qualitative research methods, including interviews, document analysis, and observations, this study investigates the ways in which Big Data analytics tools such as predictive modeling, machine learning algorithms, and customer segmentation are integrated into the company’s decision-making framework. The findings suggest that the use of Big Data has led to significant improvements in revenue growth, customer satisfaction, and operational efficiency at PT XYZ. Specifically, the company saw a 12% increase in revenue, a 15% improvement in customer satisfaction, and an 8% reduction in operational costs following the adoption of Big Data-driven decision-making processes. Despite these positive outcomes, the implementation of Big Data faced several challenges, including data integration issues, skill gaps among employees, and high initial costs associated with adopting new technologies. The study concludes that while Big Data Analytics can greatly enhance business performance, companies must address these challenges to fully realize its potential. The research provides valuable insights for other businesses considering the integration of Big Data into their decision-making processes. It also contributes to the growing body of literature on Big Data's role in modern business management and its ability to drive strategic and operational improvements.
Effects of Social Commerce and Live Shopping on Purchase Intention Mediating by Role of Influencer Trust Jaja Miharja; Ridwan; Andri Catur Trissetianto; Dedy Tri Cahyono
Siber International Journal of Digital Business (SIJDB) Vol. 3 No. 2 (2025): (SIJDB) Siber International Journal of Digital Business (October - December 202
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijdb.v3i2.313

Abstract

This study examines the effects of social commerce usage and live shopping intensity on purchase intention, with trust in influencers as a mediating variable. The research object comprises active users of platforms that enable social commerce and live shopping in Indonesia. The objectives are to assess the direct effects of both platform-behavior variables on purchase intention and to test the mediating role of trust in influencers. A quantitative, cross-sectional survey with five-point Likert scales was analyzed using PLS-SEM on 320 screened respondents. The results indicate that social commerce usage and live shopping intensity positively influence purchase intention, both directly and indirectly through trust in influencers. Trust in influencers emerges as a significant psychological mechanism that converts content exposure and real-time interaction into purchase intention. The study concludes that strengthening influencer reliability, ensuring transparent content, and designing interactive live sessions are essential to elevate consumers’ purchase intentions. Practical implications include curating and sustaining long-term partnerships with influencers and orchestrating live features that enhance credibility and engagement.
Analysis of the Influence of E-commerce on Consumer Behavior in Purchasing Beauty Products on the Shopee Marketplace Moderated by Consumer Trust and Price Perception Ridwan; Hendarman Lubis
Siber International Journal of Education Technology (SIJET) Vol. 3 No. 1 (2025): Siber International Journal of Education Technology (July - September 2025)
Publisher : Siber Nusantara Review & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sijet.v3i1.287

Abstract

This study examines the influence of e-commerce on consumer behavior in purchasing beauty products on Shopee, a leading online marketplace in Southeast Asia, with a focus on the moderating effects of consumer trust and price perception. A survey conducted among 500 Shopee users in Indonesia reveals that e-commerce usage has a significant positive effect on purchasing behavior (? = 0.45, p < 0.01). Furthermore, consumer trust (? = 0.29, p < 0.01) and price perception (? = 0.33, p < 0.01) were found to significantly moderate the relationship between e-commerce usage and purchasing behavior. Structural Equation Modeling (SEM) was employed to analyze the data, which showed that as consumer trust and price perception increase, the likelihood of purchasing beauty products on Shopee also increases. The study highlights that building consumer trust through secure payment systems, transparent product information, and reliable reviews, along with offering competitive pricing strategies, can enhance purchasing behavior. These findings provide practical insights for e-commerce platforms like Shopee to optimize strategies, increase customer loyalty, and boost sales in the growing online beauty market.
Analysis of the Safety of Antihypertensive Drug Use in Elderly Patients Ridwan
Dinasti Health and Pharmacy Science Vol. 2 No. 2 (2024): Dinasti Health and Pharmacy Science (October 2024)
Publisher : Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dhps.v2i2.1813

Abstract

Hypertension is a common health condition among elderly individuals, requiring careful management through antihypertensive medications. However, the use of these medications in older adults raises concerns about the safety and prevalence of side effects, which can significantly impact their quality of life and adherence to treatment. This study aims to analyze the safety of antihypertensive medication use in elderly patients by evaluating the prevalence of common side effects, identifying potential drug interactions, and exploring factors influencing treatment success. A mixed-methods approach was used, combining quantitative data from structured surveys and clinical records with qualitative insights from semi-structured interviews with patients and healthcare providers. The results revealed that dizziness, fatigue, and hypotension were the most common side effects, with a prevalence of 25%, 18%, and 15%, respectively. Older patients and those with comorbid conditions such as diabetes were found to be more prone to these side effects. The study also identified the importance of personalized treatment approaches, with healthcare providers emphasizing regular monitoring, medication adjustments, and patient education as key strategies to mitigate risks. These findings underscore the need for tailored antihypertensive therapy in elderly patients, considering individual characteristics and potential side effects. The study highlights the critical role of healthcare providers in managing these medications safely and effectively, ensuring better outcomes for elderly patients with hypertension. Future research should focus on larger, longitudinal studies to assess long-term effects and explore alternative treatment options that minimize adverse reactions.
Application of the Apriori Algorithm in PT XYZ Cipriano Bruno das Neves; Ridwan
International Journal of Advanced Multidisciplinary Vol. 3 No. 4 (2025): International Journal of Advanced Multidisciplinary (January-March 2025)
Publisher : Greenation Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v3i4.651

Abstract

Competition in the business world, especially in the increasingly difficult printing world, requires developers to find strategies to increase orders for printed products ordered. An increasing number of order data every day can be used to develop marketing strategies if processed correctly. A priori algorithms include the type of association rules in data mining. One of the stages of association analysis that attracts many researchers to produce efficient algorithms is the analysis of high-frequency patterns (frequent pattern mining). The importance of an association can be known by two benchmarks, namely: support and confidence. Support (support value) is the percentage of the combination of these items in the database, while confidence (certainty value) is the strength of the relationship between items in association rules.
Analysis of the Influence of Foreign Ownership on Financial Performance in the Telecommunication Industry Ridwan
Dinasti Accounting Review Vol. 1 No. 3 (2024): Dinasti Accounting Review (January - March 2024)
Publisher : Dinasti Research & Yayasan Dharma Indonesia Tercinta (DINASTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dar.v1i3.1802

Abstract

The impact of foreign ownership on the financial performance of telecommunications companies listed on the Indonesia Stock Exchange (IDX) is analyzed in this research. Using panel data from 2015 to 2023, key financial performance indicators such as Return on Assets (ROA), Return on Equity (ROE), and Profit Margin are examined. Moderating variables, including company size, leverage, and growth opportunities, are also considered. The analysis reveals a significant positive relationship between foreign ownership and financial performance. Companies with higher foreign ownership tend to show better asset utilization (ROA) and greater profitability (ROE). Additionally, moderating factors play a critical role: larger companies benefit more from foreign ownership, while high leverage negatively impacts the relationship between foreign ownership and financial performance. The findings suggest that managing leverage and seizing growth opportunities are key for maximizing the benefits of foreign investment. Encouraging foreign investment in Indonesia's telecommunications sector could enhance its competitiveness and overall performance. This research contributes to the understanding of foreign ownership and offers valuable insights for policymakers and business leaders in emerging markets.
Co-Authors Andri Catur Trissetianto andri catur trissetianto andri Arman Andrian Cipriano Bruno das Neves Dedy Tri Cahyono Hendarman Lubis Jaja Miharja Ruben Burga