Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal Syntax Literate: Jurnal Ilmiah Indonesia Aptisi Transactions on Technopreneurship (ATT) International Journal of Social Service and Research Journal of Innovation and Operational System
Karsa, Aldo Hermaya Aditiya Nur
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Transportation Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Exploring Local Wisdom: Analysis of Non-Verbal Communication Skills in Cirebon Traditional Mask Dance Audiences Wahyuningsih, Olyvia; Salsabila, Irma Nuraeni; Hernawan, Adam; Savandha, Septien Dwi; Karsa, Aldo Hermaya Aditiya Nur
International Journal of Social Service and Research Vol. 4 No. 03 (2024): International Journal of Social Service and Research (IJSSR)
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v4i03.746

Abstract

This research delves into the intriguing realm of mask dance and its role as a nonverbal communication medium for audiences in Cirebon. By examining dance skills such as movement, rhythm, expression, level, and floor patterns, the study aims to unravel the profound impact of this art form. A qualitative approach and descriptive research design are adopted to achieve this, allowing for a comprehensive exploration of the performance form and the far-reaching effects of mask dance. The research findings promise to provide profound insights into the significance of dance in preserving local culture. By shedding light on the intricate nuances of mask dance, this study contributes to a deeper understanding of the art's value and cultural implications. Not only does it enhance our understanding of the art form itself, but it also holds practical implications for researchers and stakeholders in the field. The knowledge gleaned from this research equips researchers and stakeholders with a more profound appreciation and recognition of the richness embedded within the Cirebon mask dance. It serves as a testament to the power of dance as a nonverbal form of communication, capable of transcending language barriers and conveying messages that resonate with audiences on a profound level. This research serves as a valuable resource, providing a foundation upon which future studies and initiatives can build, further enhancing the preservation and promotion of local art and culture.
Strategic Management and Socialpreneurship for Achieving Food Sustainability in Free Lunch Programs Goh, Thomas Sumarsan; Suteja, Jaja; Erika, Erika; Simanjuntak, Arthur; Karsa, Aldo Hermaya Aditiya Nur; Angel, Mary
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.528

Abstract

Achieving Sustainable Development Goal 2 (SDG 2), which focuses on ending hunger, requires innovative approaches in strategic management and socialpreneurship food sustainability. This study investigates the intersection between these fields from 2016 to 2024. The primary objective is to analyze trends and contributions in the area of strategic management applied to food sustainability, particularly focusing on SDG 2, and to understand how business strategies and government policies can contribute to food security and hunger reduction. A bibliometric analysis was conducted using Scopus and VOSviewer to examine bibliometric relationships between countries, authors, organizations, journals, documents, and emerging keywords related to strategic management and socialpreneurship food sustainability. The study specifically looks at the growth of research and the relationship between key concepts. The analysis revealed a significant increase in research activity, with the volume of publications more than tripling from 2016 to 2023. Key countries contributing to this growth include India, Spain, and Bangladesh, with Dar es Salaam University emerging as a leader in food sustainability research in Africa. VOSviewer highlighted the rising importance of Artificial Intelligence and blockchain technologies in optimizing food security through supply chain management. The findings underscore the critical role of government policies and corporate responsibility in achieving SDG 2 and reducing hunger. Successful implementation of sustainable practices in corporate strategies requires strong collaboration between companies, government agencies, and other stakeholders.
Metode Algoritma K-Means Untuk Clustering Data Produk Paling Laku Pada Toko Tono Grosir Plumbon Cirebon Karsa, Aldo Hermaya Aditiya Nur; Hidayat, Agus Rohmat
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v7i9.15144

Abstract

Pesatnya perkembangan teknologi informasi yang menjadikan semua informasi dapat disimpan dalam jaringan computer, yang membuat munculnya sistem basis data. Data mining salah satunya, merupakan teknologi yang sangat berguna untuk membantu toko menemukan informasi yang sangat penting dari gudang data (Data Warehouse). Clustering algoritma k-means merupakan salah satu metode data mining yang bersifat tanpa arahan (unsupersived). Tujuan penelitian ini membantu dalam mengelompokan data, informasi yang ditampilkan berupa nilai centroid dari tiap-tiap cluster untuk mengelompokan data barang berdasarkan tingkat kelarisan pada toko Tono Grosir Plumbon Cirebon.
Silicon Valley to Main Street: A Case Study Analysis of Tech Innovation Transfer to Conventional Business Operations Karsa, Aldo Hermaya Aditiya Nur
Journal of Innovation and Operational System Vol. 2 No. 1 (2025): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v2i1.9

Abstract

The integration of technological innovations from Silicon Valley into conventional business operations has emerged as a transformative trend, especially as traditional industries face increasing pressure to modernize and remain competitive. However, the mechanisms, success factors, and challenges of this innovation transfer remain underexplored. This study aims to examine how technological innovations, particularly artificial intelligence, cloud computing, and Internet of Things (IoT), are adopted by non-tech, traditional businesses and assess their impact on operational performance. Employing a qualitative case study approach, data were collected from five traditional enterprises across various sectors that implemented Silicon Valleyborn technologies. The data collection involved semi-structured interviews, document analysis, and comparisons of performance metrics before and after implementation. Findings reveal that successful technology transfer is facilitated by organizational readiness, strategic alignment, and continuous employee training. In contrast, barriers include cultural resistance, lack of digital literacy, and resource constraints. The study also uncovers that innovation adoption leads to measurable improvements in efficiency, customer satisfaction, and market agility. By comparing these findings to existing literature, the study highlights a gap in contextual adaptation strategies and the need for tailored implementation frameworks. The research contributes to the theoretical discourse on innovation diffusion and offers practical implications for managers aiming to bridge the digital divide. Future research is suggested to focus on cross-cultural and longitudinal studies to explore further the sustainability and scalability of tech innovation in traditional industries.
Co-Authors Agus Rohmat Hidayat Angel, Mary Arthur Simanjuntak Erika Erika Goh, Thomas Sumarsan Hernawan, Adam Jaja Suteja Salsabila, Irma Nuraeni Savandha, Septien Dwi Wahyuningsih, Olyvia