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All Journal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Komtika (Komputasi dan Informatika)
Almeyda, Diva Putra
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Computer Science & IT Engineering

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Analisis Perbandingan Metode Pra Pemrosesan Citra untuk Deteksi Tepi Canny pada Citra Berbagai Kondisi Jalan menggunakan Bahasa Pemrograman Python Wicaksono, Damar; Almeyda, Diva Putra; Putra, Irfan Mikola Muldiyanto; Malihatuningrum, Letty
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 7 No. 1 (2024): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v7i1.3872

Abstract

Edge detection is one of the essential techniques in digital image processing used to identify sudden changes in pixel intensity in an object. In the context of road marking detection on highways, accurate edge detection plays a crucial role in improving motorist safety and navigation. The Canny Edge Detection method has been proven effective in detecting edges with high accuracy in digital image processing. However, applying Canny Edge Detection on road images in various conditions still requires further research. This research aims to implement the Canny Edge Detection method in road marking detection on highway images. The main stages of this research include image pre-processing, where noise is removed, and the image is converted into a grayscale image to prepare the image before edge detection using the Canny method. In addition, a comparison will be made with several other image pre-processing methods, such as median and bilateral blur, to determine the most effective method for edge detection on road markings. Based on the research results, applying the Canny Edge Detection method with pre-processing using median blur is a practical approach to road marking detection on highway images. This method can produce accurate and optimized edge detection, which can be the basis for developing automatic road marking detection systems on highways. The findings can contribute to the improvement of motorist safety and navigation as well as the development of more accurate and effective edge detection technology on road markings.
Pengembangan Layanan dan Pengenalan Akademik di Lingkungan Kampus berbasis Aplikasi Chatbot bagi Calon Mahasiswa Baru Wicaksono, Damar; Salim, D Jayus Nor; Almeyda, Diva Putra
Jurnal Komtika (Komputasi dan Informatika) Vol 8 No 1 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v8i1.11164

Abstract

Technology has a crucial role in information dissemination, creating a need for interactive and user-friendly communication tools. One of tools that can be used in this research is chatbot. Chatbots serve as effective intermediaries in the information exchange process, providing a simple and interactive interface. This research aims to develop a Button-Based Chatbot using the Smojo AI platform, with an easy-to-use interface for delivering college preparation information to prospective students. The development of the chatbot employs the SDLC Waterfall method. The chatbot is named "KaKa: Campus Companion" and it provides information on interest tests recommendations, effective study methods, admission pathways to public universities, and scholarship recommendations. The results of this research demonstrate the successful development of a chatbot that delivers simple and interactive information. The implementation of the SDLC Waterfall method in chatbot development ensures a well-structured and coordinated approach, focusing on each menu within the chatbot. Based on the test results, which have been carried out both white-box and black-box testing, the application can run correctly 100% and UAT testing with an accuracy level of 91%.
Co-Authors D Jayus Nor Salim Damar Wicaksono Malihatuningrum, Letty Putra, Irfan Mikola Muldiyanto