STUDENT ATTENDANCE BASED ON FACE RECOGNITION USING THE CONVOLUTIONAL NEURAL NETWORK METHOD

Mataram University of Technology (UTM) still relies on a manual attendance process, such as signing paper-based attendance lists, which are prone to fraud and difficult to manage on a large scale.This study develops a face recognition-based attendance system using Convolutional Neural Network (CNN), which can automatically recognize visual patterns

Fear of missing out (FoMO) and loneliness have been identified as significant contributors to problematic social media use (PSMU).However, no prior research has examined the interplay between trait FoMO, state FoMO, the moderating role of loneliness, and their combined influence on PSMU within a unified model.The present study addressed this gap by