Jupiter
Vol 17 No 1 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)

Pelaksanaan Audit Keamanan Sistem Informasi Absensi Greatday Menggunakan Framework NIST

Wulantari, Nur Ayu (Unknown)
Sutabri, Tata (Unknown)



Article Info

Publish Date
28 Dec 2024

Abstract

The GreatDay attendance information system application is an attendance app that facilitates the automatic and real-time recording of employee attendance, both online and offline, with support for features such as facial recognition (Face Recognition). This study aims to evaluate the security of the GreatDay attendance information system using the NIST framework, which includes audit planning, system identification, risk assessment, implementation of security controls, and testing the effectiveness of controls. To ensure that the system functions optimally and securely, an information system security audit is needed using the NIST (National Institute of Standards and Technology) framework. NIST provides guidelines for auditing information system security to identify potential risks and threats, as well as to evaluate the implementation of appropriate security controls. Based on the results of this study, it can be concluded that the attendance information system is at level 3, indicating that the procedures and controls set by the institution have been implemented. This conclusion is based on the overall security audit assessment, which scored 3.7005 out of 5.   Keywords: Attendance Information System, GreatDay, NIST, System Security, Audit, Face Recognition.

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Journal Info

Abbrev

jupiter

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

Description

Tentang Jurnal Ini Fokus dan Ruang Lingkup Bidang kajian yang dapat dimuat pada jurnal Jupiter meliputi dan tidak terbatas pada: Mobile Computing Image Processing Computer Graphic Artificial Intelligence Information Retrieval Computer Vision Algorithm & Complexity Data Mining Information System ...