SARI, Juwita Dwinda and Warsito, Budi and Widodo, Catur Edi (2026) UTAUT-2, HOT-FIT, DAN PLS-SEM UNTUK PENERIMAAN PENGGUNA DAN KESUKSESAN FITUR FACE RECOGNITION APLIKASI CAT BKN (STUDI KASUS: KANREG VII BKN PALEMBANG). Masters thesis, UNIVERSITAS DIPONEGORO.

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Abstract

Face recognition merupakan teknologi pengenalan wajah yang digunakan dalam aplikasi Computer Assisted Test Badan Kepegawaian Negara untuk melakukan verifikasi identitas peserta pada Seleksi Aparatur Sipil Negara. Meskipun fitur ini bertujuan meningkatkan keamanan dan mencegah kecurangan identitas, dalam praktiknya masih ditemukan permasalahan seperti kendala teknis, keterbatasan fasilitas, dan tingkat pemahaman oleh peserta yang tidak merata, seperti di wilayah 3T (tertinggal, terdepan, dan terluar)/ Kondisi tersebut mendorong perlunya evaluasi penerimaan dan penggunaan mengenai sejauh mana fitur diterima pengguna dan berhasil mendukung kelancaran seleksi. Penelitian ini menggunakan pendekatan model UTAUT-2 sebagai penerimaan pengguna, HOT-Fit sebagai evaluasi sistem, dan analisis kuantitatif PLS-SEM. Data diperoleh melalui survey kuesioner terhadap 337 responden dan dianalisis menggunakan perangkat lunak R Shiny. Hasil penelitian menunjukkan dari 26 hipotesis yang diuji, 15 hipotesis diterima dan berpengaruh signifikan, sedangkan 11 hipotesis ditolak. Faktor yang berpengaruh positif terhadap penerimaan pengguna yaitu performance expectancy, effort expectancy, facilitating conditions, habit, dan behavioral intention. Faktor yang berpengaruh terhadap kesuksesan sistem yaitu system quality, information quality, service quality, user satisfaction, dan structure yang terbukti mempengaruhi net benefit. Temuan ini menegaskan bahwa keberhasilan fitur face recognition pada Computer Assisted Test Badan Kepegawaian Negara tidak hanya dipengaruhi fasilitas teknis sistem, tetapi juga oleh perilaku pengguna serta dukungan organisasi.
Kata Kunci: UTAUT-2, HOT-Fit, PLS-SEM, Face Recognition, Analisis

Facial recognition is a facial recognition technology used in the National Civil Service Agency's Computer Assisted Test application to verify the identity of participants in the State Civil Service Selection. Although this feature aims to improve security and prevent identity fraud, in practice, problems are still found such as technical constraints, limited facilities, and uneven levels of understanding by participants, such as in underdeveloped, frontier, and outermost areas. These conditions encourage the need for an evaluation of acceptance and use regarding the extent to which the feature is accepted by users and successfully supports the smooth selection process. This study uses the UTAUT-2 approach model as user acceptance, HOT-Fit as an evaluation system, and PLS-SEM quantitative analysis. Data were obtained through a questionnaire survey of 337 respondents and analyzed using R Shiny software. The results showed that of the 26 hypotheses tested, 15 hypotheses were accepted and had a significant effect, while 11 hypotheses were rejected. Factors that have a positive effect on user acceptance are performance expectations, effort expectations, facilitating conditions, habits, and behavioral intentions. Factors that influence system success are system quality, information quality, service quality, user satisfaction, and structures that have been shown to affect net benefits. These findings confirm that the success of the facial recognition feature in the National Civil Service Agency's Computer Assisted Test was influenced not only by the technical system facilities, but also by user behavior and organizational support.
Keywords: UTAUT-2, HOT-Fit, PLS-SEM, Face Recognition, Analysis

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