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Type :final_year_project
Subject :QA Mathematics
Main Author :Nor Lailatul Akasyah Zoldi
Title :Sistem pengesanan emosi pada masa nyata (SPEMN)
Place of Production :Tanjong Malim
Publisher :Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :2019
Corporate Name :Universiti Pendidikan Sultan Idris
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Abstract : Universiti Pendidikan Sultan Idris
Pengesanan emosi dapat digunakan dalam pelbagai jenis aplikasi, dan ia juga wajar digunakan dalam sistem E-pembelajaran yang dapat memberikan faedah yang terbaik. Kajian ini  dijalankan bertujuan untuk mengenal pasti emosi pelajar semasa proses pembelajaran dalam talian  (E-learning). Kajian ini menumpukan kepada tiga objektif iaitu mengenalpasti elemen-elemen yang  diperlukan dalam sistem pengesanan  emosi pada masa nyata dan membangunkan sistem pengesanan emosi  yang dapat mengesan ekspresi wajah pelajar pada masa nyata. Selain itu, sistem ini akan menilai  keberkesanan sistem web yang dihasilkan menggunakan matrik penilaian accuracy, presicion dan  recall. Pembangunan sistem ini menggunakan model Rapid Application Development (RAD). Seramai 10  orang pelajar dari Fakulti Seni, Komputeran & Industri Kreatif, Universiti Pendidikan Sultan Idris  (UPSI) telah dipilih secara rawak dan diuji bagi mendapatkan ketepatan sistem tersebut. Hasil  menunjukkan sistem ini mampu mengesan emosi dengan nilai accuracy sebanyak 0.55072, precision  sebanyak 0.88583, dan recall sebanyak  0.547.  Oleh  itu,  sistem  ini  diharap  dapat  membantu   meningkatkan  proses pembelajaran atas talian dengan lebih baik.  

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