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All Journal Jurnal Ilmiah Teknik Informatika dan Komunikasi Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Puji Sri Alhirani
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Computer Science & IT Electrical & Electronics Engineering

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Perancangan Sistem Informasi Manajemen Aplikasi Pendaftaran Rekening Bank Baru Nasabah Tengku Syahvina Rival Dini; Puji Sri Alhirani; Mhd.Furqan
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 2 (2025): Mei : Neptunus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i2.743

Abstract

This research was designed using Unified Modeling Language (UML) as a tool for visualizing system requirements. The system designed is expected to improve efficiency, accuracy and speed of service, thereby providing a better experience for customers and making it easier for Bank Sumut officers to manage registration data. The system development method used is waterfall. The research results show that the designed information system can automate various manual processes such as collecting prospective customer data, document validation, and managing account data. It is hoped that this management information system can be used to provide an overview of the applications that will be created to increase the Bank's operational productivity and minimize the potential for administrative errors, as well as supporting the digital transformation of Bank North Sumatra in facing competition in the banking sector.
Analisis Perbandingan Filter Median dan Gaussian dalam Mengurangi Noise pada Citra Digital Puji Sri Alhirani; Lailan Sofinah Harahap; Rani Chantika
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 2 (2025): Juli: Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i2.1148

Abstract

. Digital image processing is one of the important aspects in the world of technology, especially in improving image quality from noise interference. This study aims to analyze and compare the performance of the Median Filter and Gaussian Filter in reducing salt & pepper noise in digital images. The research process was carried out using the Python programming language and the OpenCV and NumPy libraries. The initial image was randomly noised, then processed using both types of filters. The results obtained were evaluated visually and quantitatively using the PSNR (Peak Signal-to-Noise Ratio) and MSE (Mean Squared Error) metrics. Based on the experimental results, the Median Filter was able to produce cleaner images and maintain image details compared to the Gaussian Filter. These results indicate that the Median Filter has advantages in handling salt & pepper noise. This study is expected to be a reference in selecting the right filtering method to improve the quality of digital images.
Co-Authors Lailan Sofinah Harahap Mhd.Furqan Rani Chantika Tengku Syahvina Rival Dini