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All Journal JURNAL ILMIAH INFORMATIKA Decode: Jurnal Pendidikan Teknologi Informasi
Bangun, Elsi Titasari Br
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Computer Science & IT Control & Systems Engineering Education Languange, Linguistic, Communication & Media Other

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PERANCANGAN SISTEM INFORMASI BOOKING WEDDING PLANNER BERBASIS WEBSITE PADA HARUM SENJA DECORATION Selvira, Annisha; Bangun, Elsi Titasari Br; Maulana, Galih Suryo; Karuniawati, Sri
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10624

Abstract

Harum Senja Decoration, a wedding planning service provider, previously relied on social media platforms like Instagram for marketing and bookings. This process was done manually, resulting in the risk of confirmation delays and recording errors. This study aims to design a website-based booking information system to improve the efficiency, accuracy, and ease of booking services for prospective brides and grooms. The development method used is the Prototype model, which allows for gradual system improvements based on user feedback. The development stages include needs analysis, system design (use case diagrams, activity diagrams, sequence diagrams, class diagrams, and flowcharts), and implementation with HTML, CSS, JavaScript, and XAMPP for the database. System testing used the Black-Box Testing method, ensuring all functions run according to specifications. The result of this study is a web-based information system that includes login features, package booking, payment, data management by admins, and automatic notifications. With this system, the booking process is more structured, faster, and can be monitored in real-time by users and managers. This system is expected to provide solutions to previous operational problems and improve the quality of digital wedding planning services.
Enhancing Vehicle License Plate Image Quality Using Median Filtering: Implications for ANPR Performance Wijaya, Setiawan Ardi; Bangun, Elsi Titasari Br; Willyansah
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 6 No. 1: MARET 2026
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v6i1.1624

Abstract

Automatic vehicle license plate detection is a crucial component in traffic monitoring and law enforcement. One of the primary challenges in Automatic Number Plate Recognition (ANPR) systems is the presence of impulsive noise, such as salt-and-pepper noise, which can disrupt the accuracy of character detection. This study serves as a baseline for ANPR research. The objective of this study is to optimize license plate detection by applying the Median Filtering method, while simultaneously comparing its performance on white and black license plates. Evaluation was conducted using 100 samples of Indonesian vehicle license plates, consisting of 50 white plates and 50 black plates, under consistent lighting conditions and angles. The testing results indicate that for white plates, the Mean Squared Error (MSE) ranged from 0.000018 to 0.000564, with an average Peak Signal-to-Noise Ratio (PSNR) of 38.38 dB and an average processing time of 1.105 seconds. For black plates, the MSE ranged from 0.000028 to 0.000592, with an average PSNR of 37.82 dB and an average processing time of 1.150 seconds. Comparative analysis shows that white plates produced slightly higher image quality than black plates, although both types of plates were processed efficiently. Overall, the Median Filtering method proved effective in reducing impulsive noise, preserving the sharpness of license plate characters, and maintaining processing speed. These findings demonstrate that Median Filtering is a reliable method for enhancing the accuracy and efficiency of ANPR systems under various license plate colors and lighting conditions.
Co-Authors Karuniawati, Sri Maulana, Galih Suryo Selvira, Annisha Wijaya, Setiawan Ardi willyansah, willyansah