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All Journal Aptisi Transactions on Technopreneurship (ATT) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Startupreneur Business Digital (SABDA Journal) International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT)
Queen, Zabenaso
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology Social Sciences

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Comparative Analysis of Scientific Approaches in Computer Science: A Quantitative Study Kruger, Felix; Queen, Zabenaso; Radelva, Ocean; Lawrence, Neil
International Transactions on Education Technology (ITEE) Vol. 2 No. 2 (2024): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v2i2.567

Abstract

Computer Science is an interdisciplinary field drawing its foundations from a multitude of scientific and engineering domains. The study of Computer Science necessitates the integration of concepts from various fields, blending theoretical frameworks with practical applications. This dual approach, combining abstraction and design, allows for a comprehensive understanding of computational systems. Over the years, the historical evolution of Computer Science has witnessed the emergence of numerous sub-disciplines that increasingly communicate and overlap, driven by the advancement of communication technologies and the growing need for a holistic perspective in understanding complex systems. This interdisciplinary synergy is crucial in addressing contemporary challenges that are inherently multifaceted, requiring inputs from diverse scientific areas. As our world becomes more interconnected and dominated by intricate technological systems, the reductionist approach proves inadequate. Instead, a holistic view, which acknowledges and leverages the interdependencies among various scientific disciplines, becomes imperative. This paper explores the multifaceted nature of Computer Science, highlighting its foundational concepts, historical development, and the integration of theory and practice. It delves into how the convergence of different scientific fields within Computer Science fosters innovation and addresses complex real-world problems. By examining the interdisciplinary interactions and their implications, this study underscores the importance of a comprehensive approach in advancing the field of Computer Science and its applications in solving modern-day challenges.
Designing a Digital Business Study Program using Lean Startup Methodology Queen, Zabenaso; Anjani, Aneira; Prawiyog, Anggy Giri
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.v3i1.434

Abstract

In the ever growing digital era, the need for adaptive and innovative business education is becoming increasingly important. This research focuses on the central problem of the lack of integration between traditional business theory and dynamic digital business practices, as well as the need to develop entrepreneurial skills that are relevant to today's market. The aim of this research is to design a digital business study program that utilizes the Lean Startup methodology to promote action-oriented and experimental learning. The method used in this research is a participatory curriculum design approach, involving stakeholders from academia, industry and digital entrepreneurs. Data is collected through surveys, in-depth interviews, and case studies, which are then analyzed to identify best practices and principles of effective learning. The conclusion of this research shows that the integration of Lean Startup in digital business study programs can increase students' adaptability and innovation capabilities, preparing them for success in a rapidly changing business environment. The designed program emphasizes iterative learning, rapid market validation, and scalable business model development, all of which are crucial for modern entrepreneurship. This research provides a framework for more responsive and practical digital business education, which can be adopted by educational institutions to develop curricula that meet current and future industry demands.
Technological Aspects in the Era of Digital Transformation Leading to the Adoption of Big Data Lutfiani, Lucia Sausan; Birgithri, Andzelika; Queen, Zabenaso
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.v3i1.496

Abstract

The purpose of this study is to examine how technical advancements have impacted big data analytics adoption in the age of digital transformation. The study's population consists of Indonesian businesses who have integrated big data into their operational systems, particularly those in Jabodetabek. 205 individuals were included in the study's sample through the use of a purposive sample technique. Primary data from a questionnaire survey are the sort of data used in this study. Using SPSS version 25, several regression approaches were used to examine the data. The study's findings indicate that businesses' interest in implementing big data is positively impacted by relative advantage, compatibility, and complexity. However, security has a negative impact on businesses' willingness to use big data.
Implementation of ChatGPT Artificial Intelligence in Learning Gabriela Nicola; Jackson, Stuart; Queen, Zabenaso
Blockchain Frontier Technology Vol. 3 No. 2 (2024): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v3i2.476

Abstract

Learning media is a means that can improve the quality and provide convenience in teaching and learning activities for teaching staff and students. One form of technology-based learning media that is widely used is ChatGPT (Generative Pre-Training Transformer), an artificial intelligence system that allows conversational interaction via text. ChatGPT has the ability to respond to human questions written in the application. Its functions include helping students understand complex subject matter, addressing gaps in understanding, and increasing learning effectiveness. Its appeal to teachers and students lies in its structured answers and ability to solve problems quickly. This research uses the literature study method, an approach that involves in-depth analysis of literature or references. The focus of this research is to review the implementation of ChatGPT in learning, starting from the procedures for using the application, advantages and disadvantages, to the use of prompts so that teachers and students can utilize this media effectively. Therefore, it is hoped that this research can provide answers regarding relevance, more accurate information, and guidelines for using ChatGPT in a learning context. The importance of integrating technology in learning with an appropriate and effective approach, as well as developing competence for teachers in managing technology-based learning, is an important point in this context
Empathy Map Gen Z Towards Healthy Food: A Foodpreneur Design Strategy Ulita, Novena; Kartanegara, Ath Thariq; Salsabila, Jihan; Saleh, Arifin; Queen, Zabenaso
Aptisi Transactions On Technopreneurship (ATT) Vol 6 No 2 (2024): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v6i2.404

Abstract

Healthy eating behavior is becoming increasingly prevalent in Indonesia, especially after the COVID-19 outbreak from 2020-2022, which highlighted the importance of diet for immunity. Generation Z, being a significant part of the Indonesian population, presents an opportunity for targeted public health promotions. This study aims to explore Generation Z attitudes towards healthy food to develop an effective Foodpreneur design strategy. Using a qualitative approach, data were collected through interviews and literature studies involving 29 Gen Z participants from various campuses. The research applied the design thinking method and the empathy map to derive a comprehensive strategy. The results revealed that while Gen Z acknowledges the importance of healthy eating for a balanced lifestyle, they face barriers such as economic constraints, taste preferences, and accessibility. However, there is a clear enthusiasm for promoting local and sustainable food practices. The findings suggest that an effective Foodpreneur design strategy should emphasize educating Gen Z on the benefits of local and healthy food, creating engaging and relatable promotional content, and leveraging social media to enhance awareness and accessibility. This approach can foster a culture of health consciousness and support local economies, aligning with Gen Z values and behaviors.
Understanding Air Pollution Through Machine Learning: Predictive Analytics for Urban Management Saputra, Didi Rahmat; Nugroho, Hadi; Julianingsih, Dwi; Queen, Zabenaso
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.679

Abstract

Air pollution poses a critical challenge in urban areas, including Indonesia, significantly affecting public health and the environment. While machine learning (ML) has been used to predict air pollution levels, integrating ML with urban management strategies for actionable policy recommendations remains underexplored. This study employs structural equation modeling (SEM) using SmartPLS to analyze air pollution metrics, ML predictive analytics, urban management strategies, environmental data sources, and policy recommendations. Based on responses from 400 experts in environmental science and urban management, the findings reveal that ML-driven insights significantly enhance urban management strategies and policy effectiveness. The study concludes by providing evidence-based recommendations for policymakers to improve air quality in urban areas, emphasizing the importance of integrating ML and data-driven approaches into sustainable urban management. These findings contribute to addressing Indonesia urgent air pollution crisis and advancing urban sustainability.
Integration of Artificial Intelligence in Digital Marketing Strategies Based on Business Data Analytics: Integrasi Kecerdasan Buatan dalam Strategi Pemasaran Digital Berbasis Analisis Data Bisnis Aini, Qurotul; Dyatmika, Sutama Wisnu; Chakim, Mochamad Heru Riza; Khasanah, Miftakhul; Queen, Zabenaso
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.v6i1.1230

Abstract

The digital transformation in the era of Artificial Intelligence (AI) has revolutionized marketing practices by placing data analysis at the core of adaptive and precision-based strategies. This study aims to analyze how the integration of AI and business data analytics can strategically and sustainably enhance the effectiveness of digital marketing. The research method employs a qualitative approach through literature review and case analysis of AI implementation in digital business contexts. The findings indicate that the use of AI in market segmentation, consumer behavior prediction, and content personalization significantly improves conversion rates, customer loyalty, and marketing cost efficiency. Moreover, this technological integration also supports the achievement of the Sustainable Development Goals (SDGs), particularly Goal 8 (decent work and economic growth) and Goal 9 (industry, innovation, and infrastructure). These findings highlight the importance of strengthening digital capabilities through the adoption of AI-based technology and data analytics as a foundation for building responsive, innovative, and sustainable marketing strategies aligned with the demands of the digital economy.
Co-Authors Anjani, Aneira Birgithri, Andzelika Dyatmika, Sutama Wisnu Gabriela Nicola Hadi Nugroho Jackson, Stuart Julianingsih, Dwi Kartanegara, Ath Thariq Kruger, Felix Lawrence, Neil Lutfiani, Lucia Sausan Miftakhul Khasanah Mochamad Heru Riza Chakim Novena Ulita, Novena Prawiyog, Anggy Giri Qurotul Aini Radelva, Ocean Saleh, Arifin Salsabila, Jihan Saputra, Didi Rahmat