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All Journal Technomedia Journal ADI Bisnis Digital Interdisiplin (ABDI Jurnal) International Transactions on Artificial Intelligence (ITALIC) JOT
Oliver Sauntos
Pandawan Incorporation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science

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Enhancing Social Value through Orange Technology Adoption in Creative Industry Micro Enterprises Ninda Lutfiani; Hindriyanto Dwi Purnomo; Heru Riza Chakim; Syahrul Mu’Arif Wahid; Oliver Sauntos
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1353

Abstract

Social media–based digital transformation has become an essential strategy for MSMEs to expand their market reach and strengthen consumer loyalty in the digital economy era. This article presents a conceptual review and empirical synthesis of digital business transformation strategies in MSMEs that utilize social media as the core channel for marketing and customer service. By integrating the Technology Acceptance Model (TAM), Customer Engagement theory, and the Resource-Based View, this paper proposes a strategic framework consisting of (1) digital capabilities, (2) content and engagement, (3) digital after-sales services, and (4) a collaborative ecosystem (platforms and micro-influencers). The literature synthesis indicates that interactive social media activities and responsive services are consistently associated with increased customer engagement and brand loyalty among MSMEs. Practical recommendations and future research directions are provided to support MSMEs in implementing loyalty-oriented digital transformation.
Artificial Intelligence for Optimizing Renewable Energy Systems in Sustainable Power Generation Ageng Setiani Rafika; Dendy Jonas; Muchlisina Madani; Oliver Sauntos
International Transactions on Artificial Intelligence Vol. 4 No. 2 (2026): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i2.1098

Abstract

The rapid expansion of renewable energy adoption has increased the need for intelligent energy management, as conventional rule based dispatch systems of ten struggle with the dynamic, nonlinear, and uncertain operating conditions of high-penetration renewable grids. Traditional controllers show limited energy utilization efficiency and frequent frequency-standard violations under variable wind and solar conditions. This study proposes and evaluates an integrated Artificial Intelligence (AI) framework combining a Long Short-Term Memory (LSTM) neural network for 24-hour energy demand and generation forecasting with Particle Swarm Optimization (PSO) for real-time dispatch optimization. The framework is tested against a conventional rule-based baseline using three benchmark datasets from the UCI Machine Learning Repository, the National Renewable Energy Laboratory (NREL), and Open Power System Data, covering 36 months of hourly solar and wind observations. The objective is to design and experimentally validate an AI-based optimization framework that improves energy efficiency, reduces operational losses, and enhances grid stability in renewable energy systems. The proposed LSTM-PSO framework reduces Mean Absolute Error (MAE) by 50.7% and Root Mean Square Error (RMSE) by 44.3%. Energy efficiency increases from 76.2% to 91.4%, while energy losses decrease from 20.7% to 9.6%, equivalent to approximately 5,800 tonnes of CO2 equivalent avoided annually at a 100 MW grid scale. The integrated LSTM PSO architecture provides a reliable and scalable basis for AI-driven renewable energy optimization, supporting SDG 7, SDG 9, SDG 11, and SDG 13.
Digital Business Strategy in 3D Laser Startupreneur through the DAGMAR Framework Muh Tahir; Nuke Puji Lestari Santoso; Fitra Putri Oganda; Syahrul Mu'Arif Wahid; Harry Agustian; Oliver Sauntos
Technomedia Journal Vol 11 No 1 (2026): June
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v11i1.2661

Abstract

Rapid development of digital technology requires startupreneurs to optimize marketing strategies to strengthen consumer loyalty, particularly in emerging industries such as 3D Laser services. This study aims to analyze the effect of DAGMAR based digital marketing, represented by Brand Awareness, Product Information Understanding, and Digital Content Attractiveness, on Product Interest and its implication for Purchase Loyalty in the 3D Laser startupreneur context. This research employed a quantitative approach using a survey method involving 100 respondents. The collected data were analyzed using Structural Equation Modeling Partial Least Square (SEM-PLS) to examine the direct and indirect relationships among the research variables. The findings indicate that Brand Awareness, Product Information Understanding, and Digital Content Attractiveness have positive and significant effects on Product Interest. Furthermore, Product Interest has a positive and significant effect on Purchase Loyalty. The mediation test also confirms that Product Interest significantly mediates the relationship between the three independent variables and Purchase Loyalty. These results emphasize that Product Interest serves as a psychological mechanism connecting DAGMAR  based digital marketing strategies with longterm consumer loyalty. Enhancing Brand Awareness helps consumers recognize and recall the brand, while Product Information Understanding supports informed decision making through clear and relevant product details. Digital Content Attractiveness captures attention and encourages engagement through visual and interactive content. Practically, startupreneurs in the 3D Laser industry should integrate data driven digital marketing strategies to build stronger consumer relationships, encourage repeat purchases, and foster positive word-of-mouth for sustainable business growth.
Blockchain for Financial Identity in Developing Nations Sri Watini; Ora Plane Maria Daeli; Syahyono Syahyono; Ramzi Zainum Ikhsan; Oliver Sauntos
Journal of Orange Technology Vol. 2 No. 2 (2026): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i2.87

Abstract

The absence of formal financial identity remains a major barrier to financial inclusion in developing nations. Existing centralized identity systems are often vulnerable to fraud, data breaches, and third-party control, leading to low public trust and limited access to financial services. Blockchain technology offers a decentralized alternative through the concept of Self-Sovereign Identity (SSI), which enables individuals to own and control their personal data securely. This study aims to examine how blockchain-based identity systems can address the weaknesses of traditional identity frameworks and to identify the key technical and social challenges in their implementation within developing economies. Using a qualitative, case study-based approach, the research analyzes several blockchain-driven digital identity projects across diverse regions. The findings indicate that blockchain-enabled SSI improves data security, transparency, and user trust, while enhancing access to financial services. However, challenges related to infrastructure limitations, scalability, and regulatory uncertainty re- main significant obstacles. Overall, blockchain has the potential to serve as a foundational technology for creating inclusive, secure, and sustainable financial identity systems in developing nations, while offering practical insights for policymakers, regulators, and financial institutions worldwide.
Co-Authors Dendy Jonas Fitra Putri Oganda Harry Agustian Heru Riza Chakim Hindriyanto Dwi Purnomo Muchlisina Madani Muh. Tahir Ninda Lutfiani Nuke Puji Lestari Santoso Ora Plane Maria Daeli Rafika, Ageng Setiani Ramzi Zainum Ikhsan Sri Watini Syahrul Mu'Arif Wahid Syahrul Mu’Arif Wahid Syahyono Syahyono