Al'Adzkiya International of Computer Science and Information Technology Journal
Vol 7, No 2 (2026)

HOT-Fit Analysis of SI-Kariwari Implementation and the Design of an Intelligent Information System Model to Support Smart Governance in Jayapura City

Maharani Suryaningsih Imanto (IPDN)
Titis Sari Putri (IPDN)



Article Info

Publish Date
07 Oct 2026

Abstract

This study aims to analyze the factors influencing the successful implementation of the SI-Kariwari application as an electronic office information system in supporting the digital transformation of the Jayapura City Government. The evaluation was conducted using the Human–Organization–Technology Fit (HOT-Fit) model, which consists of the Technology, Human, Organization, and Net Benefit dimensions. A quantitative approach was employed, with data collected through questionnaires distributed to 116 SI-Kariwari users from 29 Regional Government Organizations (Organisasi Perangkat Daerah/OPD). The data were analyzed using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method. The results indicate that all constructs satisfied the validity and reliability criteria, with Average Variance Extracted (AVE) values greater than 0.50, Composite Reliability values exceeding 0.70, and a Q² value of 0.992, indicating excellent predictive capability of the model. Hypothesis testing revealed that 8 out of 12 relationships among the variables were statistically significant, with the organizational dimension and user satisfaction providing the greatest contribution to the system's net benefits. Based on these evaluation results, this study proposes the development of an Intelligent Document Verification feature based on Artificial Intelligence (AI) and Optical Character Recognition (OCR) to automatically verify incoming and outgoing official documents. This feature is expected to improve system quality, reduce administrative errors, accelerate the document verification process, and support the implementation of Smart Governance in Jayapura City.

Copyrights © 2026






Journal Info

Abbrev

AIoCSIT

Publisher

Subject

Computer Science & IT

Description

Computer Science, Computer Engineering and Informatics: Data Science Artificial Intelligence, Machine Learning, Neural Network, Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, ...