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All Journal Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya Jurnal Pendidikan Fisika FKIP UM Metro Berkala Ilmiah Pendidikan Fisika Science and Technology Indonesia Edcomtech Jurnal Kajian Teknologi Pendidikan JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Martabe : Jurnal Pengabdian Kepada Masyarakat JPF : JURNAL PENDIDIKAN FISIKA Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara Jurnal Komposit : Jurnal Ilmu-Ilmu Teknik Sipil Engineering Science Letter Journal of Novel Engineering Science and Technology Bincang Sains dan Teknologi Buletin Edukasi Indonesia Journal of Educational Technology Innovation and Applications
hikmatiar, hamzarudin
IKIP Muhammadiyah Maumere
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Journal : Engineering Science Letter

 1 
Lobe Software's Accuracy in Analyzing Human Facial Expressions: Accuracy of Using Lobe Software in Analyzing Human Facial Expressions Hamzarudin Hikmatiar; Adi Jufriansah; Jayadin
Engineering Science Letter Vol. 2 No. 01 (2023): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v2i01.288

Abstract

 The face constitutes a research subject for analyzing human facial expressions, as it can provide insights into an individual's emotions. Facial expressions are identified through changes in key facial features such as the eyes, eyebrows, mouth, and forehead. The field of education has witnessed rapid technological advancements, especially in light of the pandemic. Consequently, the need for the development of technology has become increasingly pressing. This study aims to evaluate the accuracy of Lobe software in analyzing human facial expressions. The sample population for this research comprised students from IKIP Muhammadiyah Maumere, Indonesia, with a sample size of 19 selected using a simple random sampling method. The results of the analysis showed that the accuracy of the software was pretty good, with a score of 90% for each category of neutral, sad, happy, and angry faces. The questionnaire data analysis yielded a score of 84%, which is only 6% lower than the score achieved through the students' self-reporting, implying an error rate of less than 10% if validated.
Co-Authors Adi Jufriansah Al Farizi, Zakaria Alip, Isma Amin, Chintia Nazilah Azmi Khusnani Berlian Hamsa Coa, Sri Astuti Rahman Dedi Wahab Donuata, Pujianti Bejahida Dwi Sulisworo Elisabeth Jaa Ngaga Endang Sulastri Feronika Bukangdonu Fitri Nur Hikmah Florentinus Primarius Naraama Koten H. Jaudin, Santi Hamsa, Berlian Imranah, Imranah Ishafit Ishafit Ishafit Jauhari Ishafit Jauhari Isma Alip Jauhari, Ishafit Jayadin Konsenius Wiran Wae Kristina Tresia Leto Leto, Kristina Theresia Mentari Eka Wahyuni Mentari Eka Wahyuni Muhammad Akbar Mujiburohman, Muhammad Nisa, Kartini Rahman Nurhadyati, Nurhadyati Nurlina Nurlina Qurratul Aini Ridwan Risqah Amaliah Kasman Sabarudin Saputra Saharul Saharul, Saharul Sahlan Sahlan Santi H. Jaudin Siti Zuraidah Sya'bania, Nursina Sya’bania, Nursina Wae, Konsenius Wiran Wahab, Dedi Yohakim, Yoman Ribeta Ratu Yudhiakto Pramudya