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All Journal Comunitario: Jurnal Pengabdian Masyarakat Indonesian Journal of Infomatics
Ahmad Nugroho
Universitas Tidar
Religion Arts Humanities Education Law, Crime, Criminology & Criminal Justice Social Sciences Other

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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.
Optimalisasi Chat GPT dan Canva AI sebagai Asisten Cerdas Guru Dalam Penyusunan Media Ajar Muhamad Maksum Hidayat; Muhammad Syukron; Alvin Zuhair; Kukuh Trisna Pambudi; Antika Prasetyaningtyas; Muhammad Ichwandar Akrianto; Ahmad Nugroho
Comunitario: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2025): Desember
Publisher : CV. Biha Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the digital era, teachers are required to produce creative and relevant teaching materials quickly. However, many teachers in rural areas, such as in Candimulyo District, still rely on manual methods that are time-consuming due to a lack of familiarity with modern technology. This community service aums to optimize the use of Artificial Intelligence (AI), specifically ChatGPT and Canva AI, as “smart assistans” to help teachers streamline their workload. The methods employed was a workshop with a hands-on training approach, guiding teachers to use AI for drafting lesson plans and designing visual media. The activity was attended by 30 teachers from LP Ma’arif. The evolution results showed a significant increase in competence. The average cognitive score rose from 83.33 (pre-test) to 100.00 (post-test) with an N-Gain of 0.48 (Medium Category). Furthermore, participants responded positively (score 4.19/5.00) regarding their ability to use these tools technically. It can be concluded that ChatGPT and Canva AI are effective in serving as smart assistants that increase teachers productivity and creativity in developing teaching materials.
Co-Authors Alvin Zuhair Antika Prasetyaningtyas Kukuh Trisna Pambudi Muhamad Maksum Hidayat Muhammad Ichwandar Akrianto Muhammad Syukron Prihati . Siska Narulita