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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) 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 Mechanical Engineering

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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.
Rancang Bangun Aplikasi Career Mentoring dan Bootcamp Berbasis Website dengan Framework Next.JS Zaqli, Abi Khoir Naufal; Prakisya, Nurcahya Pradana Taufik; Budianto, Aris
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 14, No 1 (2026)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v14i1.94093

Abstract

Penelitian ini bertujuan untuk (1) mengidentifikasi dan menganalisis proses pengembangan aplikasi career mentoring dan bootcamp berbasis website menggunakan framework Next.JS dan metode Scrum.; (2) Mengevaluasi kinerja dan kepuasan pengguna terhadap aplikasi career mentoring dan bootcamp yang dikembangkan dengan framework Next.JS dan metode Scrum. Penelitian ini termasuk dalam jenis penelitian Research and Development (R&D) dengan menggunakan framework Next.JS dan model pengembangan Scrum. Dalam penelitian ini, framework Next.JS membuktikan kelayakannya sebagai kerangka kerja aplikasi website. Dibuktikan dengan serangkaian tahap penelitian mulai dari proses pengembangan yang cepat dan tepat, uji kelayakan sistem yang memadai, hingga kepuasan pengguna yang terbilang tinggi. Penelitian ini berhasil melibatkan serangkaian tahap dalam pengembangan aplikasi website dengan menerapkan model Scrum, mencakup tahap product backlog, sprint planning, sprint backlog, sprint, sprint review, dan sprint retrospective. Dibuktikan dengan hasil dari evaluasi pengembangan pada tahap sprint retrospective yang mendapat hasil akhir nilai focus factor sebesar 77%. Hasil dari uji kelayakan sistem dengan black box testing terpenuhi 95% yang membuktikan bahwa sistem yang dibangun dapat berfungsi sesuai kebutuhan. Dan hasil evaluasi kegunaan sistem mendapatkan nilai rata-rata usability 77 yang berada pada di posisi Good. Sehingga hasil uji dan evaluasi tersebut menunjukkan bahwa sistem yang dikembangkan sangat layak digunakan sebagai aplikasi career mentoring dan bootcamp berbasis website.
Co-Authors Abdullayev, Vugar Adhiatma, Paulus Lestyo Aris Budianto, Aris Cucuk Wawan Budiyanto 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 Zaqli, Abi Khoir Naufal