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Online Marketing Strategy Optimization to Increase Sales and E-Commerce Development: An Integrated Approach in the Digital Age Sanbella, Lunatari; Versie, Ikyboy Van; Audiah, Sipah
Startupreneur Business Digital (SABDA Journal) Vol. 3 No. 1 (2024): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v3i1.492

Abstract

In the face of the challenges of intensifying competition in the rapidly growing world of e-commerce, this research focuses on investigating, identifying, and optimizing online marketing strategies to increase sales and support the growth of the e-commerce industry. This research aims to provide in-depth insights to online business owners by thoroughly understanding consumer behavior, technology trends, and digital market dynamics.This research adopts a mixed qualitative and quantitative approach by analyzing data from multiple sources. Customer surveys, sales data analysis, and case studies on successful e-commerce platforms provide the foundation for exploring consumer needs and preferences. Special emphasis is placed on assessing the sustainability of digital marketing strategies, utilization of social media, and implementation of the latest technologies in the e-commerce ecosystem.The research results are expected to provide comprehensive guidance for online marketing practitioners and e-commerce business owners. The findings not only include an in-depth understanding of consumer desires and market opportunities, but also provide valuable information on the effective use of social media, content strategies, and the latest ways to increase brand awareness, consumer engagement, and sales conversion. The use of technology is also emphasized as a key element in improving the competitiveness of e-commerce companies in the era of increasing digitalization.
Entrepreneurial Marketing Mindset as a Determining Factor for Digital Startup Success Pangilinan, Greian April; Audiah, Sipah; Shauqy, Muhammad Rifat; Wahyudi, Otniel Feliks Putra
Startupreneur Business Digital (SABDA Journal) Vol. 4 No. 1 (2025): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v4i1.695

Abstract

This research explores the Entrepreneurial Marketing Mindset as a critical determinant of digital startup success in Indonesia’s dynamic and competitive market environment. Startups often face significant challenges, including resource limitations, market uncertainty, and the pressing need for continuous innovation and adaptation to maintain relevance. This study employs a Quantita- tive Approach, gathering data from 100 digital startups that have been operating for over two years. Multiple Linear Regression Analysis was used to evaluate the relationship between Entrepreneurial Marketing Mindset and key success metrics, such as product innovation, adaptability to market demands, and customer satisfaction. The findings reveal that adopting an Entrepreneurial Marketing Mindset significantly enhances a startup’s ability to innovate and respond swiftly to changing market dynamics. By fostering flexibility and creativity, this mindset empowers startups to navigate uncertainties, overcome market fragmentation, and establish a competitive edge. These insights are not only relevant for Indonesia but also extend to other regions with similar market conditions. In Southeast Asia, for example, fragmented markets and cultural diversity demand customized approaches, while in South Asia, accelerating digital transformation calls for adaptability and innovative strategies. Startups that embrace this mindset can develop tailored marketing strategies, optimize resource utilization, and achieve sustainable growth. This research underscores the pivotal role of Entrepreneurial Marketing Mindset in building resilience, fostering innovation, and ensuring the long-term success of digital startups in highly dynamic environments.
Advanced Cyber Threat Detection: Big Data-Driven AI Solutions in Complex Networks Rizky, Agung; Zaki Firli, Muhammad; Aulia Lindzani, Nur; Audiah, Sipah; Pasha, Lukita
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i2.42

Abstract

In the rapidly evolving digital landscape, cybersecurity has become increasingly critical, especially within complex network environments. This research presents the development of a cyber threat detection system that leverages Artificial Intelligence (AI) and Big Data analytics to enhance accuracy and speed in identifying and responding to cyber threats. The system was evaluated through rigorous testing, demonstrating a high detection accuracy of 95\% for malware and unauthorized access attempts, along with an impressive detection speed of 2 seconds on average for most threats. Additionally, the system exhibited strong scalability, maintaining optimal performance even with increasing network complexity. These findings underscore the system's robustness and practical applicability in real-world scenarios. However, further refinement is suggested to improve anomaly detection and reduce response times for more complex threats. This study contributes valuable insights into the integration of AI and Big Data in cybersecurity, providing a scalable and effective solution for protecting critical network infrastructures.