Analysis of Community Interest in Using Passport Queue Application

Madyatmadja, Evaristus Didik and Suhartono, Joni and Suliyanti, Widya N. (2019) Analysis of Community Interest in Using Passport Queue Application. Proceedings of 2019 International Conference on Information Management and Technology, ICIMTech 2019. pp. 305-308.

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Abstract

This research was conducted to evaluate the benefits of implementing Information and Technology Systems in the Passport Queue Application by the Directorate General of Immigration. Evaluation is carried out to see the community's acceptance of the application and the effectiveness of the application in the process of making passports. The research is based on a set of questionnaires circulated to the public who will make passports at the Immigration office. Based on the data obtained, the author will measure the performance of the passport queue application using a combination of the Technology Acceptance Model (TAM) method and the Unified Theory of Acceptance and Use of Technology (UTAUT). Based on the overall results of testing of the questionnaire data, it can be concluded that the community feels the benefits and ease of use of Passport Queue application.

Item Type: Article
Additional Information: Date of Conference: 19-20 August 2019 Conference Location: Jakarta/Bali, Indonesia
Uncontrolled Keywords: passport queue, community acceptance, TAM, UTAUTCorrelation, Regression analysis, Testing, Queueing analysis, Information management
Subjects: Bidang Keilmuan > Algoritma
Bidang Keilmuan > Blockchain Technology
Bidang Keilmuan > Data Analytics
Bidang Keilmuan > Data Clustering
Bidang Keilmuan > Data Mining
Bidang Keilmuan > Data Science
Bidang Keilmuan > Decision Making
Bidang Keilmuan > Deep learning
Jurnal
Bidang Keilmuan > Teknik Informatika
Bidang Keilmuan > Information Technology
Divisions: Fakultas Telematika Energi > S1 Teknik Informatika
Depositing User: Yudha Formanto
Date Deposited: 11 May 2026 04:00
Last Modified: 11 May 2026 04:00
URI: https://repository.itpln.ac.id/id/eprint/6691

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