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Tokopedia E-Commerce is Being Used to Present Opportunities for Young Business Owners to Succeed in the Digital Economy Amid the Pandemic Pangilinan, Greian April; Tambunan, Amirsyah; Astuti, Eka Dian
Startupreneur Business Digital (SABDA Journal) Vol. 2 No. 2 (2023): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v2i2.284

Abstract

This study explores Tokopedia E-Commerce's role in providing young entrepreneurs with opportunities to succeed in the digital economy during the pandemic. The COVID-19 pandemic has significantly changed the landscape for business, with social restrictions and lockdowns becoming major challenges for many brick-and-mortar stores. In this context, e-commerce platforms like Tokopedia have become an attractive solution for young entrepreneurs who want to master the new challenges and opportunities of the digital age. The purpose of this study is to analyze how Tokopedia E-Commerce is providing opportunities for young entrepreneurs to overcome current economic challenges. The study takes a qualitative approach, gathering data through interviews and content analysis with business her owners using the Tokopedia platform. The results of this study show that Tokopedia E-Commerce is giving young entrepreneurs broad access to sell their products online, reach a wider audience and increase sales. In addition, we provide various functions and services to support business development, such as training and technical support. In the context of the COVID-19 pandemic, using Tokopedia E-commerce has helped young business owners survive and even thrive in difficult circumstances. The platform has opened up new opportunities to sell products online and reach a wider consumer base, reducing reliance on physically limited stores due to social restrictions. The study therefore concludes that Tokopedia E Commerce offers a significant opportunity for young entrepreneurs to succeed in the digital economy, especially in the current pandemic era. Using this platform, young entrepreneurs can overcome economic challenges and gain access to a wider market, thereby enhancing the sustainability and growth of their future business. 
Big Data Analytics for Predictive Insights in Healthcare Gates, John Doe; Yulianti, Yulianti; Pangilinan, Greian April
International Transactions on Artificial Intelligence Vol. 3 No. 1 (2024): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i1.622

Abstract

This study leverages the transformative power of big data analytics to enhance healthcare outcomes by integrating diverse data sources like electronic health records, medical imaging, and genomic data to refine predictive models that forecast disease progression and personalize treatment strategies. Employing rigorous data management and machine learning, our findings demonstrate effective risk factor identification and resource optimization, significantly reducing hospital readmissions and improving chronic disease management as evidenced by a case study at City Hospital. Despite challenges related to data security and integration, the research aligns with United Nations SDGs, particularly SDG 3 (Good Health and Well-being) and SDG 9 (Industry, Innovation, and Infrastructure), highlighting the role of analytics in promoting health equity and operational efficiency. The study advocates for the expanded use of big data to build a sustainable, resilient healthcare infrastructure responsive to diverse population needs, recommending that healthcare providers and policymakers utilize these insights to propel data-driven, patient-centric solutions, furthering progress towards global health goals and sustainable development. Future research should include emerging data streams like social determinants of health to enrich these models, ensuring ongoing advancements in healthcare analytics.
Robotics and Automation with Artificial Intelligence: Improving Efficiency and Quality Hussain, Nazim; Pangilinan, Greian April
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2 (2023): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2.252

Abstract

The industrial and technological revolutions are accelerating globally as a result of the widespread adoption of new information and communication technologies like artificial intelligence (AI), the Internet of Things (IoT), and blockchain technology. Government, business, and academia are all paying close attention to artificial intelligence. In this study, a selection of well-read articles on artificial intelligence from recent publications is examined. The focus of this study is to offer an analysis of artificial intelligence using integrated industry information. It provides an overview of the extent of artificial intelligence using background information, motivating factors, technological advancements, and applications, as well as rational predictions for its future. This study can contribute to the field of artificial intelligence research and offer crucial knowledge to real-world practitioners. This study's key contribution is its clarification of the current state of the art in AI for further research. 
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.
Technopreneurship and Market Feasibility of Modified Carrageenan Hydrogel for Industrial Heavy Metal Remediation Dulanlebit, Yeanchon Henry; Hernani, Hernani; Liliasari, Liliasari; Amran, Muhammad Bachri; Pangilinan, Greian April
Aptisi Transactions On Technopreneurship (ATT) Vol 8 No 1 (2026): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v8i1.622

Abstract

Heavy metal pollution in aquatic systems increases the need for sustainable and efficient natural adsorbent materials, and carrageenan extracted from Eucheuma cottonii, which contains O–H, S=O, C–O–S, and 3,6-anhydrogalactose functional groups, offers strong potential for binding metal ions. However, the adsorption efficiency of natural carrageenan for Copper (Cu2+) and Cadmium (Cd2+) ions remains limited, which frames the central problem of this study. In addressing this issue, the method employed involves synthesizing carrageenan hydrogel through alkaline extraction of Eucheuma cottonii and evaluating its adsorption capacity under controlled experimental conditions. The hydrogel was characterized and tested at pH 6–7, with a contact time of 90 minutes, an initial concentration of 200 mg/L, and an adsorbent mass of 6 g, followed by kinetic and isotherm modeling to analyze adsorption behavior. Based on the Findings, ionic exchange interactions between sulfate ester groups of K-carrageenan and metal cations significantly enhance adsorption performance, with the adsorption process following a pseudo-second-order kinetic model and the Freundlich isotherm providing the best fit R2 > 0.90, indicating heterogeneous multilayer adsorption. In the Conclusion, the chemically modified carrageenan hydrogel demonstrates effective adsorption of copper and cadmium ions and presents strong potential as an eco-friendly and efficient biomaterial for heavy metal remediation.
The Role of Big Data and Blockchain in Enabling Transparent and Sustainable Business Processes Amroni, Amroni; Darmawan, Afif Aditya; Pangilinan, Greian April
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1202

Abstract

The integration of Big Data and Blockchain technologies is increasingly vital for businesses aiming to foster transparent and sustainable processes in response to global demands for socially and environmentally responsible practices. However, research on how these technologies work together is still limited. This study, using the Business Oriented Management Research Cycle (BOMRC), investigates how Big Data and Blockchain can synergistically promote transparent and sustainable business practices. The research includes a literature review, case study analysis, and application of findings to practical business scenarios. The findings reveal that Blockchain enhances transparency and traceability through a decentralized, secure system, while Big Data provides real time data processing to optimize operational efficiency and reduce environmental impact. By leveraging the synergy between these technologies, businesses can improve sustainability and maximize performance. Despite these advantages, high implementation costs and technological challenges remain significant barriers. This study contributes to understanding how Big Data and Blockchain can work together to promote sustainability, providing insights for overcoming barriers to their adoption. Future studies should explore sector specific applications to further advance these technologies.