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All Journal Jurnal Sains Dan Teknologi (SAINTEKBU) Jurnal Sistem Informasi dan Ilmu Komputer
Najla Amelia Putri
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Computer Science & IT Control & Systems Engineering Library & Information Science

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Evaluating UI/UX Online Courses : A Case Study Of Software Engineering Students’ Learning Experience Rasendriya, Achmad Syahmi; Najla Amelia Putri; Anatasya Wenita Putri; Aulia Anggraeni; Jonathan Cristiano Rabika; Muhammad Al Amin; Barus, Irma Rasita Gloria; Amata Fami
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

With technology advancing quickly in today's world, education has become one of the significantly affected aspects. Technological progress facilitated access to educational materials, leading to the emergence of various new learning methods, including online courses. Online courses were widely favoured due to the customization and diverse variations of their learning materials. Visual design, user interface (UI), and user experience (UX) played a crucial role in attracting interest in learning, as evidenced by increased engagement among users of online courses with appealing designs. These critical UI/UX aspects provided a specific boost in understanding and exploring this field, as reflected in the provision of UI/UX materials on online course platforms. This study utilized the User Experience Questionnaire (UEQ) method to evaluate the satisfaction and experiences of students participating in UI/UX online courses across six aspects: Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty. The study involved 41 students who took UI/UX online courses for one month. The results indicated a high level of satisfaction across these aspects, suggesting that UI/UX online courses could be considered effective and reliable methods for understanding and exploring this field.
Evaluating UI/UX Online Courses : A Case Study Of Software Engineering Students’ Learning Experience Rasendriya, Achmad Syahmi; Najla Amelia Putri; Anatasya Wenita Putri; Aulia Anggraeni; Jonathan Cristiano Rabika; Muhammad Al Amin; Barus, Irma Rasita Gloria; Amata Fami
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

With technology advancing quickly in today's world, education has become one of the significantly affected aspects. Technological progress facilitated access to educational materials, leading to the emergence of various new learning methods, including online courses. Online courses were widely favoured due to the customization and diverse variations of their learning materials. Visual design, user interface (UI), and user experience (UX) played a crucial role in attracting interest in learning, as evidenced by increased engagement among users of online courses with appealing designs. These critical UI/UX aspects provided a specific boost in understanding and exploring this field, as reflected in the provision of UI/UX materials on online course platforms. This study utilized the User Experience Questionnaire (UEQ) method to evaluate the satisfaction and experiences of students participating in UI/UX online courses across six aspects: Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty. The study involved 41 students who took UI/UX online courses for one month. The results indicated a high level of satisfaction across these aspects, suggesting that UI/UX online courses could be considered effective and reliable methods for understanding and exploring this field.
Implementasi Sistem Deteksi Kantuk Secara Real-Time Bagi Pengemudi Menggunakan Metode Eye Aspect Ratio Mochammad Fadiil Thoriq; Muhammad Fathi Ramdhana; Desinta Nur Rahma; Najla Amelia Putri; Rafi Hilal Zahir; Gema Parasti Mindara; Endang Purnama Giri
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 4 (2024): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i4.4226

Abstract

Traffic accidents are one of the leading causes of death worldwide, where drowsiness while driving is a significant factor that reduces driver alertness. This study develops a real-time driver drowsiness detection system using the Eye Aspect Ratio (EAR) method to avoid this. EAR calculates the ratio of the upper and lower eyelid distances to detect signs of drowsiness based on changes in eye shape. This system utilizes the OpenCV and Dlib libraries to identify faces and measure EAR, with a threshold of 0.25 as a warning trigger. If the EAR value drops below the threshold in several consecutive frames, the system automatically activates an alarm to increase driver alertness. With the advantages of cost efficiency and ease of implementation without additional hardware, this system is suitable for various types of vehicles. The results show that this system is effective in providing early warnings, thus helping to reduce the risk of accidents due to drowsiness.
Co-Authors Anatasya Wenita Putri Aulia Anggraeni Desinta Nur Rahma Endang Purnama Giri Fami, Amata Gema Parasti Mindara Irma Rasita Gloria Barus Jonathan Cristiano Rabika Mochammad Fadiil Thoriq Muhammad Al Amin Muhammad Fathi Ramdhana Rafi Hilal Zahir Rasendriya, Achmad Syahmi