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All Journal Startupreneur Business Digital (SABDA Journal) International Transactions on Artificial Intelligence (ITALIC) JOT
Vivi Meilinda
Muhammadiyah Kuningan College of Health Sciences
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science

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Overview of Life Cycle Assessment of Current Emerging Technologies Cicilia Sriliasta; Vivi Meilinda
International Transactions on Artificial Intelligence Vol. 1 No. 2 (2023): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i2.290

Abstract

For its potential to facilitate the development of cutting-edgetechnologies with enhanced environmental performances,projected useat basic levels of life cycle analysis (LCA)technological readiness levels (TRL) has attracted enormousinterest in recent literature. But the normal LCA standardsfind it very difficult to evaluate developing technologies,necessitating methodological advancements in the presentLCA framework due to inadequate data, questionablefunctioning, scale-up problems, and uncertainties. We reviewpublished literature in this paper to identify majormethodological challenges and key research efforts to addressthese issues, with a focus on recent developments in five keyareas: cross-study comparability, data availability and quality,scale-up issues, uncertainty and uncertainty communication,and assessment time. Additionally, we provide a number ofsuggestions for further study to assist in the assessment of newtechnologies at low technical readiness level: (1) the creation of auniform framework and reporting procedures for life cycleassessments (LCAs) of developing technologies; (2) theincorporation of additional tools with LCA; and (3) the creation of adata repository for cutting-edge materials, procedures, andtechnologies. Decision-making techniques, such as multicriteriadecision analysis, risk analysis, and techno-economic analysis.
A Platform Based Business Revolution Activates Indonesia's Digital Economy Vivi Meilinda; Sheila Aulia Anjani; M Ridwan
Startupreneur Business Digital (SABDA Journal) Vol. 2 No. 2 (2023): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v2i2.279

Abstract

In the past twenty years, the rise of the internet, often known as e-commerce, has been extremely rapid. The rise of a digital economy was then influenced by this phenomenon. This tendency will revolutionize people's lives in the long run as well as how business, commerce, and the economy develop. Although not all of them are able to grow as large as businesses that have become examples of international success, it can be seen that the development of the many startup companies that are beginning to blossom in Indonesia closely follows this trend. In the past twenty years, the rise of the internet, often known as e-commerce, has been extremely rapid. The rise of a digital economy was then influenced by this phenomenon. This tendency will revolutionize people's lives in the long run as well as how business, commerce, and the economy develop. Although not all of them are able to grow as large as businesses that have become examples of international success, it can be seen that the development of the many startup companies that are beginning to blossom in Indonesia closely follows this trend.
Ethical and Inclusive Design of AI Care Agents for People with Disabilities Vivi Meilinda; Umi Narimawati; Thomas Sumarsan Goh; Irene Apriani Widjaya; Kamal Arif Al-Farouqi
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.v2i2.70

Abstract

The increasing use of Artificial Intelligence (AI) in care services offers significant potential to improve the quality of life for people with disabilities, while also raising important ethical and inclusivity concerns. This study examines the ethical and inclusive design of AI care agents, emphasizing human-centered principles that support autonomy, dignity, and emotional well-being. This study employs a quantitative research approach using a cross-sectional survey design. Data were collected from individuals with diverse physical, sensory, and cognitive disabilities who have experience interacting with AI care agents. Measurement instruments were adapted from established ethical AI, inclusive design, and technology acceptance frameworks. Humanistic well-being was assessed using the WHO-5 Well-Being Index. The data were analyzed using Structural Equation Modeling (SEM) to examine the relationships between ethical AI design, inclusive features, user trust, technology acceptance, emotional support, and well-being outcomes. The findings indicate that ethical AI design significantly enhances user trust and perceived emotional support, while inclusive design features positively influence technology acceptance and emotional engagement. User trust, technology acceptance, and emotional support significantly contribute to humanistic well-being, with emotional support emerging as the strongest predictor. This study contributes a quantitative empirical model demonstrating how ethical and inclusive AI design principles translate into measurable well-being outcomes for people with disabilities. The findings highlight the importance of integrating humanistic values into AI care agent development to ensure equitable, responsible, and sustainable digital care innovation.
Co-Authors Cicilia Sriliasta Irene Apriani Widjaya Kamal Arif Al-Farouqi M Ridwan Sheila Aulia Anjani Thomas Sumarsan Goh Umi Narimawati