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All Journal ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Blockchain Frontier Technology (BFRONT) Journal of Computer Science and Technology Application JOT
Jonathan Parker
Rey Incorporation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Other

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An Analysis of the Orange Technology Approach in Short Video-Based Digital Marketing Strategies Untung Rahardja; Galih Putra Cesna; Rani Nuraeni; Michael Surya Gunawan; Jonathan Parker
ADI Bisnis Digital Interdisiplin Jurnal Vol 7 No 1 (2026): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/n1yzbr41

Abstract

Short video platforms such as TikTok, Instagram Reels, and YouTube Shorts have become strategic media in digital marketing, particularly for skincare products that are highly popular among millennials. This trend highlights that marketing is no longer limited to information delivery but also involves building emotional connections, consumer trust, and digital literacy. This study aims to analyze the influence of short video marketing on skincare purchase decisions using the Orange Technology approach, which emphasizes empathy, transparency, and consumer well-being. The method employed is a descriptive qualitative approach through literature review and thematic analysis to examine the roles of visual, narrative, and interactivity elements within short video content. The findings indicate that short video marketing is effective in enhancing brand awareness, reinforcing product recall, and fostering emotional and social engagement with consumers. However, risks such as misinformation, visual manipulation, and low digital literacy require the implementation of ethical principles and consumer education. In conclusion, when designed ethically, empathetically, and transparently, short video marketing is not merely a promotional tool but also a practical application of Orange Technology that supports innovation, humanistic values, and consumer well-being. Therefore, this strategy contributes both to strengthening purchase decisions and maintaining consumer trust.
Comparative Analysis of Cloud Storage Architectures for Scalability and Security Fitri Nurdianingsih; Wahyu Nur Wahid; Jonathan Parker
Blockchain Frontier Technology Vol. 5 No. 2 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i2.857

Abstract

This study compares the scalability and security of the InterPlanetary File System (IPFS) and traditional cloud storage platforms. As global data traffic continues to rise, traditional centralized cloud services, like AWS S3 and Google Cloud Storage, face increasing challenges in terms of scalability, security, and data sovereignty. In contrast, IPFS offers a decentralized, content-addressed storage model that enhances data integrity and resilience. This research uses a combination of qualitative and quantitative methods, including a literature review, performance benchmarking, and security assessments. The evaluation involved testing various file sizes, monitoring data availability over seven days, and conducting fault tolerance simulations. The findings reveal that traditional cloud platforms provide stable, predictable performance, low latency, and high availability, making them suitable for enterprise applications. However, IPFS, with its decentralized architecture, excels in ensuring data integrity and resilience in distributed environments, although it experiences performance variability and lacks built-in encryption and access control. These factors make IPFS less viable in regulated settings. The study concludes that IPFS and traditional cloud storage should not be seen as alternatives, but as complementary systems. A hybrid approach, combining the strengths of both, can support scalable, secure, and sustainable digital infrastructures, aligning with SDG 9, which promotes innovation and resilient infrastructure development
Augmented Reality in Preschool Enhancing Storytelling and Cognitive Development Yanti Pasmawati; Yesi Novaria Kunang; Muhammad Hatta; Jonathan Parker; Dwi Nur Ramadhan
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.v2i2.104

Abstract

Augmented Reality (AR) is a technology that enables the integration of digital elements into the real world, creating more immersive and interactive learning experiences. In a study conducted at a local kindergarten, traditional storytelling methods often caused children to lose focus, particularly when the stories lacked engaging visual elements. In contrast, by using AR, stories such as the adventure of a cat could be brought to life through interactive 3D animations, allowing children not only to listen but also to interact with the characters. This study aims to examine the effectiveness of AR in enhancing storytelling and supporting the cognitive development of young children. A mixed-method approach was employed, comparing two groups: a control group using traditional methods and an experimental group using an AR application. Quantitative data were collected through pre- and post-tests, while qualitative data were obtained from direct observations and interviews with teachers and parents. The results revealed that the experimental group recorded a 32.10\% increase in post-test scores, significantly higher than the 7.34% increase in the control group. Furthermore, AR improved children’s engagement, enthusiasm, and collaboration during storytelling sessions. In conclusion, AR demonstrates considerable potential in supporting early childhood education by creating more engaging and inclusive learning experiences, although challenges such as technology accessibility and the availability of appropriate content still need to be addressed.
Strategic Business Forecasting and Market Trends Analysis Using Machine Learning Techniques Eryc; Nasib; Muh. Fahrurrozi; Ramzi Zainum Ikhsan; Jonathan Parker
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v3i1.148

Abstract

This study, titled Strategic Business Forecasting and Market Trends Analysis Using Machine Learning Techniques, explores how artificial intelligence (AI) particularly machine learning (ML) can enhance the accuracy and strategic impact of business forecasting in dynamic markets. Traditional statistical forecasting methods often fail to accommodate complex, nonlinear, and high-dimensional data. To address this gap, the research develops and validates a machine learning–based forecasting model designed to integrate predictive analytics into strategic decision-making. The study adopts a quantitative approach and employs Structural Equation Modeling (SEM) using SmartPLS 3 to examine the interrelationships among four latent variables: Market Trends (MT), Forecasting Accuracy (FA), Strategic Planning Efficiency (SPE), and Business Performance (BP). Each construct is measured using three indicators, forming a structural model that tests six hypothesized relationships. The results indicate that understanding market trends significantly improves forecasting accuracy and strategic planning efficiency, which in turn positively influences business performance. Furthermore, forecasting accuracy directly enhances both planning efficiency and overall performance, emphasizing the strategic value of data-driven insights. The findings validate the reliability and predictive power of the proposed model, offering a robust framework for organizations aiming to leverage machine learning in strategic forecasting. By bridging the gap between algorithmic prediction and managerial application, this study contributes to the growing field of AI-driven business analytics and supports the development of more agile, informed, and resilient business strategies in a data-centric economy.
Digitalization of Business and Marketing Strategies to Increase Brand Awareness in the 4.0 Era: Strategi Digitalisasi Bisnis dan Pemasaran untuk Meningkatkan Brand Awareness di Era 4.0 Richard Andre Sunarjo; Hikmal Baedowi; Untung Rahardja; Muhammad Ghifari Ilham; Jonathan Parker
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.v6i1.1240

Abstract

The Industry 4.0 era marks a fundamental transformation in how businesses operate, with digitalization as a key catalyst in reshaping marketing strategies and branding. This study aims to examine the business and marketing digitalization strategies implemented by companies to increase brand awareness amidst technological disruption. By leveraging technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics, companies can expand brand reach, create more personalized communications, and increase real-time consumer engagement. The novelty of this study lies in its deep exploration of how these advanced technologies not only enhance operational efficiency but also significantly strengthen brand positioning by delivering more relevant, personalized, and integrated digital experiences to consumers. This study uses a mixed-method approach, namely a qualitative approach through case studies and a quantitative approach through a survey of industry players actively adopting Industry 4.0 technologies. The results show that digitalization not only improves operational efficiency but also strengthens brand positioning in the minds of consumers through relevant and integrated digital experiences. Furthermore, companies that successfully combine technological innovation with data driven marketing strategies tend to have stronger brand equity and high adaptability to market changes. These findings underscore the importance of investing in digital infrastructure and developing an innovative culture to strengthen brand awareness and sustainable business competitiveness.
Smart Urban Mental Health Mapping through IoT Sensor Networks and AI Analysis Laras Sitoay; Muhamad Viktor A Sin; Sugeng Riyadi; Mardaleni Daeli; Jonathan Parker
Journal of Orange Technology Vol. 1 No. 1 (2024): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i1.6

Abstract

Urban mental health is increasingly challenged by environmental stressors such as noise pollution, high population density, and air quality degradation. This study proposes an integrated framework combining Internet of Things (IoT) sensor networks with artificial intelligence (AI) analytics to monitor and predict mental health outcomes across metropolitan districts. A total of 300 participants from three urban areas contributed self-reported psychological data, which were combined with real-time environmental measurements including noise, air quality, temperature, humidity, and pedestrian density. Quantitative analyses, including correlation, multiple regression, and AI-based predictive modeling, revealed that noise and crowd density were the strongest predictors of elevated stress, while green spaces and improved air quality were positively associated with mood. The predictive models achieved 15–20% higher accuracy than survey-only models, and mapping of high-risk zones aligned with actual mental health service usage. These findings demonstrate the potential of IoT and AI-driven approaches to provide actionable insights for policymakers, urban planners, and healthcare providers. Future research should expand longitudinal and cross-city validation, integrate additional environmental and social indicators, and explore real-time interventions to create resilient and human-centered urban environments.
Co-Authors Dwi Nur Ramadhan Eryc Fitri Nurdianingsih Galih Putra Cesna Hikmal Baedowi Laras Sitoay Mardaleni Daeli Michael Surya Gunawan Muh. Fahrurrozi Muhamad Viktor A Sin Muhammad Ghifari Ilham Muhammad Hatta Nasib Ramzi Zainum Ikhsan Rani Nuraeni Richard Andre Sunarjo Sugeng Riyadi Untung Rahardja Wahyu Nur Wahid Yanti Pasmawati Yesi Novaria Kunang