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All Journal Jurnal Penelitian Sistem Informasi Integrated System and Management Technology Big Data Analytics and Data Science
Priyo Wibowo
Politeknik Katolik Mangunwijaya
Computer Science & IT Decision Sciences, Operations Research & Management

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The Impact of Information Technology Driven Innovation Management on IT Service Management Effectiveness and Competitive Value Creation in Smart Organizations Priyo Wibowo; Sunarmi Sunarmi
Integrated System and Management Technology Vol. 1 No. 1 (2026): January: Integrated System and Management Technology
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/ismat.v1i1.11

Abstract

This study examines the impact of IT-driven innovation management on IT service effectiveness and competitive value creation within smart organizations. As digital transformation accelerates across industries, organizations are increasingly leveraging advanced IT solutions to enhance service delivery, responsiveness, and customer satisfaction. While traditional IT service management (ITSM) models focus on efficiency and structured processes, the integration of innovation management introduces new opportunities to improve service quality and operational agility. Through a quantitative research design, this study employs regression modeling to assess the relationship between IT-driven innovation management and two key outcomes: IT service effectiveness and competitive value creation. Data were collected from 100 technology-intensive organizations that actively integrate innovation into their IT service management processes. The results demonstrate that IT-driven innovation significantly enhances service quality, customer satisfaction, and organizational competitiveness. Furthermore, a curvilinear relationship was identified, indicating that while moderate innovation leads to improved outcomes, excessive innovation may have diminishing returns. These findings highlight the importance of balancing innovation efforts with business goals to achieve optimal performance. The study also compares innovation-driven IT service management with traditional models, illustrating how innovation fosters agility, responsiveness, and long-term value creation. The implications for smart organizations are clear: integrating innovation into IT service management is essential for maintaining a competitive edge in the rapidly evolving digital landscape. Future research should explore the long-term impact of innovation management on organizational sustainability and growth, considering external factors such as market volatility and technological disruptions.
Adaptive Cyber Secure Software Engineering Practices for Big Data Platforms With Dynamic Access Control and Differential Privacy Mechanisms Ahmad Budi Trisnawan; Priyo Wibowo
Big Data Analytics and Data Science Vol. 1 No. 1 (2026): March: Big Data Analytics and Data Science
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/bdas.v1i1.24

Abstract

Big data platforms face significant challenges related to cybersecurity and privacy due to the vast volume, variety, and velocity of data they manage. Traditional static security measures often fail to address the dynamic and complex nature of big data environments. This research proposes an adaptive cybersecurity framework that integrates dynamic access control and differential privacy mechanisms to enhance both the security and privacy of big data platforms. The dynamic access control mechanism continuously adjusts access permissions in real-time based on changing risk and trust levels, ensuring that sensitive data remains secure even as user roles and data flows evolve. The differential privacy mechanism adds noise to data, preserving individual privacy while allowing for meaningful data analysis. Through simulations and case studies, the framework was evaluated in various real-world environments, including healthcare, IoT, and finance, where it demonstrated scalability, efficiency, and robust security performance. The results showed that the proposed framework significantly reduced unauthorized access attempts and maintained data privacy, while still enabling effective data analysis. Although there were some challenges regarding performance overhead, particularly in resource-constrained environments, the framework remained effective in large-scale systems. The findings highlight the importance of adaptive security practices in big data environments and suggest that future research should focus on refining dynamic security mechanisms and applying differential privacy in diverse real-world scenarios. These advancements are essential for ensuring that big data platforms can handle evolving cyber threats without compromising data utility or privacy.
Pengembangan e-LabCare untuk Integrasi Data Laboratorium, Tekanan Darah, dan Terapi Obat Antihipertensi Priyo Wibowo; Fef Rukminingsih; Fransiska Ayuningtyas Widyastani
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 4 (2026): November : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i4.4928

Abstract

Hypertension therapy evaluation requires longitudinal information that connects blood pressure measurements, laboratory examination results, and medication history. In practice, these data are often recorded separately, making continuous evaluation difficult. This study aims to develop e-LabCare as a digital health information system that integrates laboratory data, blood pressure, and antihypertensive therapy within a single longitudinal platform. The system was developed using the Waterfall method consisting of requirement analysis, system design, implementation, testing, and evaluation. The developed modules include user management, laboratory examination recording, systolic and diastolic blood pressure recording, medication history including drug name, dose, frequency and treatment period, examination history, trend visualization, and health insight. Initial functional testing using simulated data showed that the main system functions could operate according to their intended processes. The system is currently capable of displaying health parameters and medication periods in an integrated manner. However, clinical effectiveness has not yet been evaluated because testing still uses simulated data. e-LabCare therefore provides a functional prototype for longitudinal health-data integration and can be further evaluated through usability testing and validation using real-world data.
Co-Authors Fef Rukminingsih Fransiska Ayuningtyas Widyastani Sunarmi Sunarmi Trisnawan, Ahmad Budi