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All Journal International Journal of Electrical and Computer Engineering JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Jurnal Sains dan Teknologi Jurnal ULTIMATICS JUSTIN (Jurnal Sistem dan Teknologi Informasi) Journal of Pedagogy and Education Science Jurnal Media Informasi Teknologi Media of Computer Science
Prakisya, Nurcahya Pradana Taufik
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Preprocessing Image for License Plate Detection: A Systematic Literature Review Prasetyo, Riyan Bagas Dwi; Abdullayev, Vugar; Prakisya, Nurcahya Pradana Taufik; Sujana, Yudianto; Siswanto, Rahmat
Media of Computer Science Vol. 2 No. 2 (2025): December 2025
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v2i2.241

Abstract

Rapid population growth contributes to an increase in the volume of vehicles, creating major challenges in their management. One potential solution is the application of deep learning-based artificial intelligence technology for automatic detection of vehicle license plates. This research uses a Systematic Literature Review (SLR) approach to evaluate the performance of various deep learning architectures in the detection process. Out of 125 articles identified, 20 articles were selected based on specific selection criteria. The analysis revealed that preprocessing techniques, such as HE, AHE, ECHE, CLAHE, and ECLACHE, have significant contributions in the processing of vehicle license plate datasets. These techniques were able to improve the visual quality of the images, thus supporting the detection process with an accuracy rate of more than 95%. This research also identified challenges, such as high computational requirements and large-scale data processing. Further research is recommended to apply preprocessing on standardized datasets to develop a reliable, efficient and sustainable detection system.
Microlearning on TikTok: Developing Creativity and Communication for Vocational Students Daniswara, Atadila Berliani; Budianto, Aris; Prakisya, Nurcahya Pradana Taufik
Journal of Pedagogy and Education Science Vol 5 No 01 (2026): Article in Press - Journal of Pedagogy and Education Science
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.jpes.001127

Abstract

Non-technical skills (soft skills), such as creativity and oral communication, have become increasingly important for Vocational High School graduates in the Industry 4.0 era; however, their systematic integration into the curriculum remains limited. This study aimed to develop and examine the feasibility and preliminary effectiveness of a TikTok-based microlearning platform to support the development of vocational students’ soft skills. The study employed a research and development approach using the ADDIE model and involved 32 vocational students in Boyolali, Central Java, Indonesia. Data were collected through expert validation, student response questionnaires, and a pretest–posttest design. Expert validation indicated that the developed media met high feasibility criteria, with an average score of 88% from media and material experts. Student responses suggested a positive level of acceptance, with an average score of 83.6%. The pretest–posttest results showed modest increases in average scores for creativity (2.44 points) and oral communication (8.12 points). These findings suggest that TikTok-based microlearning has potential as a supportive and engaging tool for facilitating the development of vocational students’ soft skills, although further studies with larger samples and comparative designs are recommended to confirm its effectiveness.
Co-Authors Abdullayev, Vugar Adhiatma, Paulus Lestyo Aris Budianto, Aris Cucuk Wawan Budiyanto Daniswara, Atadila Berliani Dwi Maryono Fadliansah, Arafik Nur Fawaidil Wafa, Alfian Febri Liantoni, Febri Herianto, Tulus Joseph Jimsan Jimsan Kusmanto, Bintang Timur Lestari Rahayu Nurulita, Khiara Prasetyo, Riyan Bagas Dwi Puspanda Hatta Ramadhan, Firdaus Ditio Ramadhan, Raqael Fisabillah Rosihan Ari Yuana, Rosihan Ari Rosihan Ariyuana, Rosihan Rustanto, Diki Wahyudi Salsabila, Zahra Khalila Sidauruk, Deardo Satria Ristiawan Siswanto, Rahmat Yudianto Sujana Yusfia Hafid Aristyagama