Fathony, Havy (2026) Analisis Penerimaan AI Dashcam Sebagai Teknologi Keselamatan Kerja Pada Operator Hauling Dump Truck Menggunakan Modifikasi Model Unified Theory of Acceptance & Use of Technology (UTAUT). Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penerapan teknologi AI Dashcam di industri pertambangan merupakan inovasi strategis untuk memitigasi risiko kecelakaan kerja akibat kelelahan (fatigue) dan perilaku tidak aman. Namun, efektivitas implementasi teknologi ini sering terkendala oleh resistensi pengguna akhir. Penelitian ini bertujuan untuk menganalisis tingkat penerimaan operator hauling dump truck terhadap penggunaan AI Dashcam serta merumuskan rekomendasi manajerial untuk meningkatkan penerimaan teknologi dan budaya keselamatan. Penelitian ini menggunakan pendekatan kuantitatif dengan model Unified Theory of Acceptance and Use of Technology (UTAUT) yang dimodifikasi dengan penambahan variabel Trust, Privacy Concerns, Surveillance Anxiety, dan Safety Participation. Data dikumpulkan melalui survei terhadap 100 responden operator dan dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM). Hasil penelitian menunjukkan tingkat penggunaan aktual (Use Behavior) tergolong tinggi (84,3%) dan terbukti berpengaruh signifikan terhadap peningkatan partisipasi keselamatan (Safety Participation). Namun, secara psikologis, penerimaan operator terhambat oleh dua faktor yaitu Performance Expectancy berpengaruh negatif terhadap niat penggunaan, mengindikasikan bahwa operator mempersepsikan teknologi ini sebagai penghambat produktivitas operasional dan Tingginya tingkat Surveillance Anxiety dan Privacy Concerns yang secara signifikan menurunkan tingkat kepercayaan (Trust) dan niat penerimaan. Berdasarkan temuan tersebut, penelitian ini merekomendasikan pergeseran strategi manajemen dari pendekatan pengawasan mandatori menuju pemberdayaan partisipatif. Strategi ini diharapkan dapat mengubah resistensi operator menjadi penguatan budaya keselamatan yang berkelanjutan.
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The implementation of AI Dashcam technology in the mining industry represents a strategic innovation to mitigate work accident risks caused by fatigue and unsafe behaviors. However, the effectiveness of this technology's implementation is often hindered by end-user resistance. This study aims to analyze the acceptance level of hauling dump truck operators toward the use of AI Dashcams and to formulate managerial recommendations to enhance technology adoption and safety culture. This research employs a quantitative approach utilizing a modified Unified Theory of Acceptance and Use of Technology (UTAUT) model, extended with the variables of Trust, Privacy Concerns, Surveillance Anxiety, and Safety Participation. Data were collected through a survey of 100 operators and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that the actual Use Behavior is relatively high (84.3%) and has a significant positive effect on increasing Safety Participation. However, psychologically, operator acceptance is hindered by two factors: Performance Expectancy has a negative influence on usage intention, indicating that operators perceive this technology as a hindrance to operational productivity; and high levels of Surveillance Anxiety and Privacy Concerns significantly reduce the level of Trust and acceptance intention. Based on these findings, this study recommends a shift in management strategy from a mandatory surveillance approach toward participatory empowerment. This strategy is expected to transform operator resistance into the reinforcement of a sustainable safety culture.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | AI Dashcam, Keselamatan Kerja, Fatigue, UTAUT, Budaya Keselamatan, AI Dashcam, Occupational Safety, Fatigue, UTAUT, Safety Culture |
| Subjects: | T Technology > T Technology (General) > T55 Industrial Safety |
| Divisions: | Interdisciplinary School of Management and Technology (SIMT) > 78201-System And Technology Innovation |
| Depositing User: | Havy Fathony |
| Date Deposited: | 05 Feb 2026 06:24 |
| Last Modified: | 05 Feb 2026 06:24 |
| URI: | http://repository.its.ac.id/id/eprint/132183 |
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