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All Journal JAIS (Journal of Applied Intelligent System) Proceeding SENDI_U Abdimasku : Jurnal Pengabdian Masyarakat
Pramudya, Elkaf Rahmawan
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Computer Science & IT Economics, Econometrics & Finance Education Health Professions Industrial & Manufacturing Engineering Social Sciences

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Journal : JAIS (Journal of Applied Intelligent System)

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Compression Run Length Encoding On Watermarking Using a Combination of DCT, DWT and SVD Abdussalam, Abdussalam; Pramudya, Elkaf Rahmawan
Journal of Applied Intelligent System Vol. 8 No. 2 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i2.7524

Abstract

This study focus on identifying medical images by proposing the Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) transformation watermarking technique and prove an increase the quality of watermarked images is good in terms of imperceptibility. Due to reduce the need for data memory compression is applied to the host image, where the compression technique chosen is lossless so that the compressed host image experiences a decrease in file size while maintaining data integrity, to maintain image degradation perceptions and diagnostic quality standards during the watermarking process. Here, we use DWT-DCT-SVD and Run Length Encoding (RLE). A good Peak Signal to Noise Ratio (PSNR) more than 30 dB using over than 200 compression size. The extracted watermark image is quite good with a fairly high PSNR value. The highest compression result size is in 32.2511.
Web-Based Public Street Lighting Complaint Application with Realtime Whatsapp Notification Using Prototype Method in Pemalang Regency Nugraha, Arifinza Eska; Pramudya, Elkaf Rahmawan; Abdussalam, Abdussalam
Journal of Applied Intelligent System Vol. 9 No. 1 (2024): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v9i1.10445

Abstract

Public Street Lighting (PJU) plays an important role in transportation infrastructure, especially at night. Currently, complaints about PJU damage are only made using social media. This research designs and builds a web-based PJU complaint system with real-time notifications via WhatsApp in Pemalang Regency. Data was collected through interviews, observations, and questionnaires. This system is built with PHP and MySQL, with WhatsApp notification integration to ensure accurate and real-time complaint information. The system trial involved the community, showing the system's effectiveness in increasing reporting efficiency and officer response. The system provides easy online reporting and real-time notifications via the website and WhatsApp. This system is expected to improve community services and PJU management. The results can be a reference for the development of similar systems in other areas.
Co-Authors ., Muslih Abdussalam Abdussalam, Abdussalam Abi Senoprabowo L. Budi Handoko Muslih - Nugraha, Arifinza Eska Soeleman, M. Arief Supriyono Asfawi