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All Journal Jurnal Impresi Indonesia Jurnal Manajemen dan Teknologi Informasi
Sayyidah, Mutia
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Factors Influencing Generative AI Adoption in Government: A Case Study in BPS-Statistics of Indonesia Sayyidah, Mutia; Lusa, Sofian; Rizki, Muhammad; Ramlan, Nurcholis; Sensuse, Dana Indra
Jurnal Impresi Indonesia Vol. 5 No. 4 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i4.7666

Abstract

Rapid technological developments hold great potential, one of which is generative AI. Technology that is easily accessible and user-friendly tends to spread quickly, and BPS-Statistics of Indonesia is no exception. The challenges currently faced by BPS-Statistics of Indonesia, such as rapid data growth, high data demand, and data analysis and representation, encourage the institution to be adaptive to new technologies that can accelerate work processes. This research aims to determine the factors influencing the acceptance and use of generative AI (GenAI), such as ChatGPT, Gemini, and others, among BPS-Statistics of Indonesia employees, using Behavioral Intention as the central mediating variable that bridges the influence of these predictor factors on Use Behavior. The model also examines the relationships between external factors, such as Social Influence and Trust, and Perceived Usefulness and Perceived Ease of Use, as well as their effects on Attitude. Additionally, it evaluates the influence of Hedonic Motivation, Facilitating Conditions, Perceived Severity, and Perceived Vulnerability on Behavioral Intention. Based on a survey of 166 respondents at BPS-Statistics of Indonesia, the results reveal that Attitude has a significant influence on Behavioral Intention, while Perceived Severity has a significant negative influence on Behavioral Intention. Furthermore, Behavioral Intention is also shown to have a significant positive influence on Use Behavior. These findings contribute theoretically to the development of technology adoption models in the public sector and have practical implications for BPS-Statistics of Indonesia in formulating AI usage policies.
PROJECT MANAGEMENT CHALLENGES IN PUBLIC SECTOR IT: A CASE STUDY IN PALU Sayyidah, Mutia; Teguh Raharjo; Ni Wayan Trisnawaty
Jurnal Manajemen dan Teknologi Informasi Vol. 16 No. 1 (2026): Jurnal Manajemen dan Teknologi Informasi
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/jmti.v16i1.5718

Abstract

Public sector IT projects frequently encounter challenges that impede successful delivery, especially in decentralised environments. This study explores the key project management issues that emerged during the development of the Kelurahan Cantik (Smart Statistical Village) website in Palu, Indonesia. Employing a mixed-method case study, we combined the PMBOK 7th Edition framework with empirical ICT project failure factors to evaluate the project’s planning and execution. Quantitative data were collected through a structured Likert-scale questionnaire completed by 30 respondents involved in the project, while qualitative insights were drawn from document analysis. The findings highlight critical gaps in stakeholder engagement, project monitoring, and leadership support, along with inadequate user preparation and technological misalignment. These issues significantly affected project outcomes, particularly in terms of system utilisation and benefit realisation. This study offers practical recommendations for strengthening governance, planning, and stakeholder coordination in future local government IT initiatives
Co-Authors Dana Indra Sensuse Lusa, Sofian Muhammad Rizki Ni Wayan Trisnawaty Nurcholis Ramlan Teguh Raharjo