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All Journal International Journal Of Science, Technology & Management (IJSTM)
Iswara Sanantagraha, Arnastya
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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The Role of Virtualization Technology to Increase Operational Cost Efficiency of Indonesian SMEs: Case Study of Internet Service Providers Iswara Sanantagraha, Arnastya; Puspitaloka Mahadewi, Erlina
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1161

Abstract

This research investigates the role of virtualization technology in enhancing operational cost efficiency for Indonesian Small and Medium-sized Enterprises (SMEs), specifically Internet Service Providers (ISPs). A quantitative approach, utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) version 2.0, was employed to analyze data collected from 68 respondents representing 216 Indonesian SME ISPs. The study focused on the relationship between virtualization technology planning, adaptation capability, server consolidation services, and operational cost effectiveness. The findings demonstrate that adaptability to virtualization technology is the most significant factor influencing operational cost efficiency. Effective implementation requires careful planning and a proactive approach to adapting to the technology's demands. Server consolidation services play a crucial role in optimizing resource utilization and reducing costs while virtualization technology offers substantial benefits, SMEs should carefully assess their specific needs and resources before implementation. Factors such as infrastructure, skills, and business objectives should be evaluated to ensure successful adoption and maximize cost savings. This research provides a foundation for further exploration into the impact of virtualization technology on SMEs. Future studies could investigate the applicability of these findings in different contexts, such as other industry sectors or regions. Additionally, examining the long-term effects of virtualization technology adoption and the potential for scalability could offer valuable insights. Further research could also focus on the challenges and opportunities associated with virtualization technology adoption in SMEs with varying sizes and resources.
AI Ethics Implementation In Indonesia Hospitals: Challenges Or Opportunities Iswara Sanantagraha, Arnastya; Leslie Hendric Spits Warnars, Harco; Prabowo, Harjanto; Sfenrianto, Sfenrianto; Puspitaloka Mahadewi, Erlina
International Journal of Science, Technology & Management Vol. 6 No. 3 (2025): May 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i3.1217

Abstract

In the last five years, the technology adoption in Indonesia has begun to use advances in artificial intelligence (AI) ethics to improve healthcare services. This change has had a significant impact on several institutions, especially the hospital industry. This paper provides an overview of hospital institutions in Indonesia that are implementing AI ethics. AI ethics comprehensive review of 54 papers from the Scopus, PubMed and Google Scholar database was used to develop our methodology. The existing literatures, which includes studies from various disciplines such as education, healthcare, information communication technology (ICT), licensing, law, hospitality, and economic services, demonstrated the widespread implementation of AI in these fields. We have found potentiality benefit of AI implementation in Indonesian hospital which focusing on increasing patient outcomes and also equalizing of healthcare service. This output can be done with find out the strategy to maximizing its benefit and paralely to decrease and minimizing the rise of ethic risk. This review concludes that AI implementation in Indonesian Hospital come with significantly opportunity for increasing patient healthcare outcome and equality of healthcare services. We provide a new view for organizing governance research, that identifies gaps in the existing literature speciality in healthcare and suggests future directions, for research utilizing technology in AI ethics.
Democratizing Network Security Management: How ESP32 Makes Professional Packet Sniffing Accessible Iswara Sanantagraha, Arnastya; Puspitaloka Mahadewi, Erlina
International Journal of Science, Technology & Management Vol. 6 No. 5 (2025): September 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i5.1351

Abstract

This study presents a comprehensive design and implementation of an ESP32-based WiFi packet sniffer system optimized for real-time monitoring and analysis of 802.11 network traffic, adopting a modular architecture that integrates hardware abstraction, packet processing, and user interface layers to ensure scalability, maintainability, and efficient resource utilization while leveraging the ESP32's dual-core processor, integrated WiFi, and advanced memory management strategies to achieve high performance in packet capture, filtering, and storage with low power consumption; key features include support for industry-standard PCAP file formats, microsecond-precision timestamps, and compatibility with MQTT and WebSocket protocols, enabling seamless integration into diverse IoT applications, with the system capable of capturing all supported 802.11 frame types and applying real-time filtering based on MAC addresses, frame types, signal strength, and protocol-specific parameters to reduce storage and processing overhead, while addressing memory limitations through efficient buffer management techniques such as circular buffers and dynamic memory allocation, ensuring adaptability to traffic patterns and resources, with performance evaluations demonstrating its ability to handle high traffic loads with minimal latency and memory overhead, making it suitable for applications like disaster monitoring, factory automation, and environmental sensing, further highlighting the ESP32's versatility through compatibility with solar-powered systems and renewable energy sources for long-term deployment in remote environments, while future work will focus on enhancing energy efficiency and exploring AI-driven analytics for edge computing scenarios, bridging the gap between expensive commercial solutions and accessible educational/research tools to demonstrate practical viability in real-world applications.
Co-Authors Harjanto Prabowo Leslie Hendric Spits Warnars, Harco Puspitaloka Mahadewi, Erlina Sfenrianto, Sfenrianto