Article Per Year (5 Year)
p-Index From 2021 - 2026
0.835
P-Index
This Author published in this journals
All Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi International Transactions on Artificial Intelligence (ITALIC)
Vaher, Kristina
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
The Application of Artificial Intelligence in HR Recruitment Strategies Impacts Startupreneur Buying Interest: Penerapan Kecerdasan Buatan dalam Strategi Rekrutmen SDM Berdampak pada Minat Beli Startupreneur Santoso, Nuke Puji Lestari; Hardini, Marviola; Farail, Maulana Faqih; Fitriani, Anandha; Vaher, Kristina
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.v6i1.1233

Abstract

The development of Artificial Intelligence (AI) in Human Resource Management (HRM) provides an opportunity to increase efficiency and effectiveness in the recruitment process in the modern business era. In this context, AI supports the achievement of the Sustainable Development Goals (SDGs), especially goal 8, namely decent work and economic growth, and goal 10 on reducing inequal ity. AI allows companies to optimize the candidate selection process by using sophisticated algorithms that can analyze large amounts of data to find the most suitable candidates for the organization needs. Thus, AI plays an important role in creating a faster, more accurate, and bias-free recruitment process, which ultimately improves the quality of the workforce. However, the application of AI in recruitment also faces challenges related to technology integration, personal data protection, and potential bias in algorithmic decision-making. This study examines the role of AI in optimizing the recruitment process and its contribution to achieving the SDGs. The study also evaluates the impact of AI on recruitment decisions and company productivity and provides recommendations for more effective implementation in modern business.
Mengamankan Catatan Akademik dengan Teknologi Blockchain Pendekatan Berbasis Data untuk Manajemen Universitas Vaher, Kristina; Simanjuntak, Arthur; Sugiharto, Erwin
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 1 (2025): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i1.908

Abstract

In the contemporary landscape of higher education, background the burgeoning volume of digital academic records necessitates robust security and integrity measures, particularly amidst increasing concerns over data breaches and authenticity. Traditional centralized database systems, while functional, often present vulnerabilities that compromise student data privacy and the verifiable nature of academic achievements, thereby hindering efficient data-driven management. Object this study aims to propose and analyze a blockchain-based framework for securing academic records, thereby enhancing data integrity, transparency, and trust within university management systems through a data-driven approach. Method employing a qualitative research methodology, this paper reviews existing literature on blockchain applications in education, analyzes current challenges in academic record management, and develops a conceptual model illustrating how distributed ledger technology can be integrated to create a more secure and immutable repository for student credentials and institutional data. Furthermore, we explore the potential impact on privacy preservation and the streamlining of administrative processes. Result our findings indicate that blockchain technology offers a promising solution to mitigate inherent risks in conventional record-keeping systems by providing an unalterable, transparent, and decentralized ledger. This integration significantly bolsters data authenticity, reduces fraudulent activities, and fosters greater trust among stakeholders, ultimately supporting more reliable and effective data-driven decision-making for university administration. Conclusion the implementation of a blockchain-enabled system for academic records is critical for establishing a secure, verifiable, and efficient data management ecosystem in higher education, paving the way for enhanced operational excellence and stakeholder confidence in the digital age.
Integrating Edupreneurship and Digital Transformation to Enhance Creative Thinking in Learning Design Handoko, Hendri; Budi Waluya, Stevanus; Sugiman; Wardono; Vaher, Kristina
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/z209am98

Abstract

The increasing urgency to address climate change has positioned Sustainable Development Goal 13 (Climate Action) as a priority for governments and businesses worldwide. Technological innovations such as Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain have emerged as transformative tools for reducing environmental impacts, improving energy efficiency, and promoting ethical and sustainable business practices. However, the extent to which these technologies contribute to climate action remains underexplored. This study aims to investigate the role of AI, IoT, and Blockchain in helping businesses achieve SDG 13 by optimizing resources, reducing waste, and enhancing supply chain transparency. A mixed-methods approach was adopted, combining qualitative and quantitative techniques. Semi-structured interviews were conducted with key stakeholders from businesses implementing these technologies, while a survey of 150 businesses was administered to capture broader adoption patterns. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed hypotheses. The findings reveal that AI and IoT have significant positive effects on energy management and sustainability outcomes, while Blockchain plays a supportive role by improving transparency and ethical practices, though its adoption remains limited. The combined integration of these technologies yields the most substantial impact. This study concludes that businesses should adopt a holistic strategy to fully leverage technological innovations for advancing SDG 13 and combating climate change.
AI-Driven Optimization of Pulsed DC Sputtering for Enhanced Indium Tin Oxide Films Hamdan, Hamdan; Cahyadi, Hadi; Vaher, Kristina; Ratih, Arista
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.931

Abstract

The performance of heterojunction silicon solar cells strongly depends on the quality of the Transparent Conductive Oxide (TCO) layer, particularly Indium Tin Oxide (ITO), which governs both lateral charge transport and optical coupling. Despite its industrial relevance, achieving low-resistivity and high transmittance ITO at low thermal budgets remains a manufacturing challenge. This study aims to identify and optimize the key pulsed DC magnetron sputtering parameters that govern the structural, electrical, and optical properties of ultra-thin ITO films suitable for heterojunction applications. A systematic experimental approach was implemented by varying discharge power, oxygen partial pressure, deposition temperature, and post-deposition annealing conditions using an inline industrial sputtering system. The results show that moderate discharge power, controlled oxygen incorporation, and substrate temperatures around 180 ◦C significantly enhance film densification and electron transport. Under the optimized parameter set, the ITO films achieved low resistivity in the range of (4.6–5)×10−4 Ω·cm and visible-light transmittance above 90%, while annealing at 160 ◦C further reduced defect density and stabilized electrical per- formance. These findings demonstrate that high-quality ITO can be produced within the thermal constraints of heterojunction silicon technologies and provide a robust foundation for integration into automated or AI-assisted sputtering control frameworks. Overall, this work supports the development of scalable, energy-efficient, and industrially viable fabrication routes for next-generation photovoltaic devices.
Analysis of the Effects of Social Media on Children Education Mechanisms Setiawan, Rony; Aprillia, Ariesya; Tjahyadi, Rully Arlan; Lu, Cen; Nursalin, Kezia Kurniawati; Abednego, Felicia; Vaher, Kristina
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.559

Abstract

The increasing use of social media has significantly influenced various aspects of daily life, including children's education mechanisms. This research aims to explore the impact of social media on educational processes and how it shapes learning outcomes for children. The objective of this study is to examine the relationship between social media usage and children's educational development, using SmartPLS analysis as the primary method. By analyzing data collected from students, parents, and educators, the study identifies key factors such as engagement, content accessibility, and social interaction that mediate this relationship. The results reveal that while social media can serve as an effective educational tool, it also presents potential risks, including distraction and exposure to inappropriate content. The findings suggest that balanced usage of social media can enhance children's learning experiences if properly managed. The conclusion underscores the need for further research into the educational implications of social media, emphasizing the importance of parental involvement and regulatory frameworks in ensuring its positive impact on children's education.
Co-Authors Aprillia, Ariesya Arthur Simanjuntak Budi Waluya, Stevanus Cen Lu Farail, Maulana Faqih Felicia Abednego Fitriani, Anandha Hadi Cahyadi Hamdan Hamdan Handoko, Hendri Kezia Kurniawati Nursalin Marviola Hardini Ratih, Arista Rony Setiawan Rully Arlan Tjahyadi Santoso, Nuke Puji Lestari Sugiharto, Erwin Sugiman Wardono