Evaluasi Penerapan Monitoring Artificial Intelligence dalam Sistem Informasi pada PT. X

Samsoedin, Nur Rahmandita (2026) Evaluasi Penerapan Monitoring Artificial Intelligence dalam Sistem Informasi pada PT. X. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

This study aims to analyze the implementation of an employee attendance system based on Artificial Intelligence (AI) using face recognition technology and to identify factors influencing system performance in monitoring attendance activities. This research applies a qualitative approach with data collection techniques consisting of observation, interviews, and documentation. The results indicate that the face recognition-based attendance system improves efficiency in attendance recording, reduces manual recording errors, and supports more accurate monitoring processes. However, system effectiveness is also influenced by technical aspects, environmental conditions, and organizational management practices. Therefore, continuous evaluation and monitoring are required to ensure optimal system performance.

Item Type: Thesis (Undergraduate)
Student ID: 202210170311023
Keywords: Artificial Intelligence, Face Recognition, Monitoring, Information System
Subjects: H Social Sciences > HF Commerce > HF5601 Accounting
Divisions: Faculty of Economics and Business > Department of Accounting (62201)
Depositing User: 202210170311023 nrditaa
Date Deposited: 23 Feb 2026 03:43
Last Modified: 23 Feb 2026 03:43
URI: https://eprints.umm.ac.id/id/eprint/27948

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