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Modeling Human Algorithm Interaction to Improve Trust and Reliability of Intelligent Decision Support Systems in Data Driven Organizations Siska Narulita; Prihati Prihati; Ahmad Nugroho
Indonesian Journal of Infomatics Vol. 1 No. 1 (2026): February: Indonesian Journal of Infomatics
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/iji.v1i1.30

Abstract

This research explores the role of human algorithm interaction mechanisms in enhancing trust, reliability, and user confidence in Decision Support Systems (DSS). Traditional DSS models often focus solely on algorithmic accuracy and performance, neglecting crucial factors such as transparency and user engagement, which are essential for building trust. By incorporating explainable AI (XAI) techniques like SHAP and LIME, real-time feedback mechanisms, and user-friendly interfaces, the study develops structured interaction models that improve the interpretability of AI-driven decisions. The results show that transparent decision-making processes and interactive features significantly enhance user trust, making DSS more reliable and easier to adopt. Users interacting with systems that provide clear, understandable explanations of decisions, along with real-time updates on the system’s confidence, reported higher levels of decision-making confidence, especially in high-stakes scenarios. These improvements lead to greater user engagement and adoption of the system in various domains, including healthcare and finance. The study also highlights the importance of balancing interpretability with efficiency in user interface design to ensure both trust and usability. The findings contribute to the design of more user-centric DSS that prioritize trust, interpretability, and cognitive factors, providing a framework for the successful integration of intelligent decision support systems in complex decision-making environments. Future research should focus on refining interaction models and exploring the broader applicability of these systems in different sectors.
Evaluating the Impact of Model Driven Development on Verification and Validation Efficiency in Secure, Large Scale Enterprise Software Systems Sandy Suryady; Siska Narulita; Amna Amna
Software Engineering in Computing Systems Vol. 1 No. 1 (2026): February: Software Engineering in Computing Systems
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/secons.v1i1.46

Abstract

Model driven Development (MDD) has emerged as an efficient software engineering methodology that focuses on using high-level models as primary artifacts throughout the software development process. The methodology involves transforming abstract models into detailed designs, and eventually into executable code, with the assistance of automated tools. This study evaluates the impact of MDD on the Verification and Validation (V&V) processes within secure enterprise software systems. By comparing MDD-based projects with traditional code-centric development approaches, the study highlights the advantages of MDD in reducing verification time, minimizing defect leakage, and improving the traceability of security requirements. MDD significantly enhances V&V efficiency by automating key processes, which allows for earlier error detection and better resource utilization. Additionally, MDD strengthens security compliance by integrating security requirements early in the development lifecycle, ensuring better alignment between system requirements and their implementation. Despite the clear benefits, challenges such as the lack of standardized tools and the need for specialized expertise in model development were also encountered during the study. The findings of this research offer important insights for enterprise software development teams looking to adopt MDD for more efficient and secure V&V processes. Future research should focus on the long-term impact of MDD on security compliance, as well as its adoption across different industries, to fully understand the practical benefits and challenges of implementing MDD in diverse real-world environments.
Co-Authors Aditya Eka Widyantoro Aditya, Galuh Agus Wantoro Ahmad Jurnaidi Wahidin Ahmad Nugroho Ahmad Nugroho Aji Priyambodo Amaliyah, Shofwatun Amna Andreas Heri Kurniawan Andreas Tigor Oktaga, Andreas Aries Alfian Prasetyo Aries Alfian Prasetyo, Aries Alfian Aulia Noveesa Allanda Bambang Widjanarko Susilo Bayu Praharsena Calisto, Calvin Deny Prasetyo Dhieo Kurniawan Diah Ayu Fatmasari Dimas Adi Wicaksono Dody Indra Sumantiawan Dyah Ardyani Rizqi Azizah Adha Evan Setiawan Wicaksono Faqih Ahyar Prayoga Gafgarion Sudrajat Budi Darminto Galuh Aditya Gati Gati Ghani Ayang Arjuna Giyantolin, Giyantolin Gracia Stefani Suharyadi Heru Yulianto Hikmal Adi Wibowo Ika Susanti Indradno, Jasman Jasman Indradno Jawade Hafidz Arsyad Kholilurrahman, Muhammad Kristiawan Nurdianto Kurniawan, Dhieo Laurentius Kenneth V Luther Aldo Christian M. Zakki Abdillah Marsiska Ariesta Putri Martinus Apun Heses Martinus Apun Heses Mayadilanuari, Aerrosa Murenda Michael Fernando Putra S Mudjiyono Munadi Munadi Nanik Qosidah Nugroho, Ahmad Oei Joviano Matthew Wijaya Petra Valentino Praharsena, Bayu Prihati Prihati . Prihati Prihati Prihati Prihati Priyo Nugroho Adi Priyo Nugroho Adi Priyo Wibowo Putri Novianingrum, Milka Rengga Pratama Putra Retno Ginanjar Reynard Adelard Richo Muthicahya Safari, Teti Sandy Suryady Sekarlangit Sekarlangit Sekarlangit Sekarlangit, Sekarlangit Silvia Nurvita, Silvia Sri Danar Dono Sudradjat Budi Darminto, Gafgarion Suhaji Suhaji Suharmanto, Abraham Yano Sumantiawan, Dody Indra Suprapedi Suprapedi Suprapedi Suprapedi Suyahman Suyahman Teguh Khristianto Very Dwi Setiawan Vic Jeremy Prajogo Widiastuti, Rosalina Yani