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All Journal JUITA : Jurnal Informatika Seminar Nasional Informatika (SEMNASIF) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Insect (Informatics and Security): Jurnal Teknik Informatika EDUKATIF : JURNAL ILMU PENDIDIKAN Al-Tamimi Kesmas: Jurnal Ilmu Kesehatan Masyarakat (Journal of Public Health Sciences) Jurnal Mantik Mobile and Forensics JITU : Journal Informatic Technology And Communication Idealis : Indonesia Journal Information System Jurnal Adijaya Multidisiplin Jurnal Informatika: Jurnal Pengembangan IT
Wicaksono Yuli Sulistyo
Universitas Siber Muhammadiyah, Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Public Health Social Sciences Other

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Journal : Jurnal Informatika: Jurnal Pengembangan IT

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Deteksi Tepi Menggunakan Metode Operator Prewitt dan Kirsch pada Citra Uang Kertas Sulistyo, Wicaksono Yuli; Arifah, Amalina Nur; Pratiwi, Septia Ayu
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 1 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i1.6292

Abstract

The importance of edge detection in image processing, especially on banknote objects, prompted this research to carry out an analysis of two edge detection methods, namely the Prewitt and Kirsch operators. five images of banknotes with different denominations (2000, 5000, 10000, 20000 and 50000) were taken as research objects. The edge detection method is implemented using MATLAB, utilizing both Prewitt and Kirsch operators. Image quality assessment uses PSNR, Histogram and Pixel value parameters. The comparison results show that the Prewitt and Kirsch operators provide optimal edge detection results, producing clear and sharp edges in the banknote image. The edge detection quality assessment was carried out through the PSNR metric, and both showed PSNR values above 30 dB, indicating good quality in terms of clarity and accuracy. Comparison of the Histogram and Pixel values shows that the Kirsch method has a higher Histogram and the Prewitt method has a higher Pixel value.
Co-Authors Anton Yudhana Arifah, Amalina Nur Aulia, Muhammad Immawan Desy Eliana Hidayatullah, Muhammad Haedar Zhafran Imam Riadi Imam Riadi Khairina Eka Setyaputri Muhamad Rosidin Muhammad Azam Hasani Muhammad Haedar Zhafran Hidayatullah Muhammad Immawan Aulia Panggah Widiandana Pratiwi, Septia Ayu Purwanti, Bernadeta Siti Rahayu Rosidin, Muhamad Septia Ayu Pratiwi Siti Hartinah Widiandana, Panggah