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All Journal Berkala Ilmiah Pendidikan Fisika Edcomtech Jurnal Kajian Teknologi Pendidikan Journal of Novel Engineering Science and Technology
Hamsa, Berlian
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Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Environmental Science Mechanical Engineering Physics Social Sciences

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Relation of Facial Expressions and Student Learning Outcomes in Face Recognition-Based Online Learning Hikmatiar, Hamzarudin; Sya'bania, Nursina; Hamsa, Berlian
Edcomtech Vol 9, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um039v9i12024p1

Abstract

This research was conducted to determine the relationship between facial expressions and student learning outcomes based on face recognition. The applied learning is online, with nine respondents participating in statistics lectures. This type of research is quantitative research with inferential statistical analysis; the software used to detect facial expressions is LOBE software, while the data collection on learning outcomes uses multiple choice questions as many as ten. Based on the research results, there is a relationship between facial expressions and student learning outcomes, which are carried out through the person correlation test with a significance of less than 0.05, namely 0.001. The level of the relationship between the two is a perfect correlation based on the correlation guide table, which is equal to 0.895.
Experimental Study of Gravity Measurement with a Video-Based Laboratory Pendulum with Tracker Software: Comparison of Weighted and Unweighted Tests Wahab, Dedi Suwandi; Hamsa, Berlian; Sina , Tuti Asmianti; Deti, Maria; Anwar, Zaina; Arifin, Anggun Syafira; Nursilawati, Wingki; Servia; Jaudin, Santi Hasan; Jufriansah, Adi
Journal of Novel Engineering Science and Technology Vol. 4 No. 01 (2025): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v4i01.644

Abstract

This research aims to determine the value of the Earth's gravitational acceleration (g) using the mathematical pendulum swing method with an unweighted linear regression approach, weighted linear regression, and the 4th-order Runge-Kutta numerical method. The data used are the results of measuring the swing period of the pendulum for various lengths of string. The analysis was carried out by calculating the average value of gravitational acceleration using multiple methods. The results show that weighted linear regression provides more consistent and accurate estimates than unweighted linear regression, with a high coefficient of determination (R²) value. The Runge-Kutta numerical method is also used to predict swing periods with a more in-depth mathematical approach, producing values ​​supporting experimental data trends. Overall, this research makes an average value of gravitational acceleration of around 9.11 m/s², close to the expected theoretical value. These findings show that the mathematical pendulum swing method can be used effectively to measure the Earth's gravitational acceleration with sufficient accuracy and provide an essential contribution in the context of physics education regarding the application of basic principles in physics experiments.
Analysis of the UtilizationUtilization of a Learning Management System Based on the Independent Curriculum in Physics Education at Sikka Coastal Schools Hikmatiar, Hamzarudin; Al Farizi, Zakaria; Hamsa, Berlian; Nurlina, Nurlina; Jufriansah, Adi; Jayadin, Jayadin
Berkala Ilmiah Pendidikan Fisika Vol 13, No 1 (2025)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/bipf.v13i1.20322

Abstract

Online learning has emerged as a dominant trend since the onset of the COVID-19 pandemic, leading to significant changes in the educational landscape. Numerous studies have examined using learning management systems (LMS) in educational settings. However, few have addressed the urgency of implementing LMS and the specific challenges coastal schools face. To explore these challenges, the researcher conducted a qualitative, descriptive study to analyze the use of LMS, focusing on a case study of high schools in Sikka Regency. The study involved nine schools, namely SMAN Pemana, MAS Nurwahid Gunung Sari, MAS Muhammadiyah Nangahure, MAS At-Taqwa Beru, SMA Muhammadiyah Maumere, SMAN Magepanda, SMA 1 Talibura, SMKN Talibura, and SMAN 1 Waigete. Data were collected through interviews with nine physics teachers. The research data were then analyzed using NVivo software to obtain quantitative percentages. The findings indicated that all participating schools utilized LMS, with the majority adopting Google Classroom. However, the most significant challenge identified was internet connectivity, with over 50% of the schools acknowledging this issue. Additionally, many students lacked smartphone access, particularly at MAS Muhammadiyah Nangahure, where nearly 2% of students did not own a smartphone, compared to approximately 5% at similar schools. Other challenges included the lack of internet data and limited understanding of technology among students. The most common concern reported by schools was the inflexibility of LMS platforms, particularly concerning their dependence on internet connectivity. For instance, SMAN Pemana noted a 4.8% incidence of issues related to the LMS they were using. Given these obstacles, many schools have turned to alternative solutions to support online learning, such as WhatsApp Groups, which 80% of the schools employ.
Co-Authors Adi Jufriansah Al Farizi, Zakaria Anwar, Zaina Arifin, Anggun Syafira Deti, Maria hikmatiar, hamzarudin Jaudin, Santi Hasan Jayadin Nurlina Nurlina Nursilawati, Wingki Servia Sina , Tuti Asmianti Sya'bania, Nursina Wahab, Dedi Suwandi