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Journal : Jurnal Informatika dan Rekayasa Perangkat Lunak

Implementasi Steganografi Metode Least Significant Bit (LSB) untuk Menyembunyikan File Pesan dalam Gambar Muhammad Naim Al Jumah; Sarimuddin Sarimuddin
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10143

Abstract

Ease of image manipulation is not something difficult. Images become a more effective communication medium for society. The development of software for image manipulation, increasing crime such as phishing and bullying in cyberspace. The Least Significant Bit method is a steganography method that can be used to encrypt or hide messages in images. Hiding information in various media files such as images is done to maintain the confidentiality of the messages sent. This research implements the Least Significant Bit (LSB) method to hide a message file in an image. This research carries out encryption and description of the message to be sent by inserting a file into the image. This research will also carry out a testing process for the stego image. From the results of tests that have been carried out by carrying out three processes of sending stego image files via copying files with a flash disk, email and sending via WhatsApp with a document model, the results obtained are that stego image files can still be extracted data to get messages that have been encrypted in the image, However, when the stego image file is sent via WhatsApp using the image sending method, the stego image cannot be extracted. This happens because there has been a change in the extension of the file downloaded from WhatsApp. This is also influenced by data changes in the form of file compression from the WhatsApp application. Where every file sent via the WhatsApp application will experience file compression so that data changes will occur
Penentuan Tingkat Kesehatan Komunitas Mangrove Secara Otomatis Menggunakan Otsu Thresholding Sarimuddin Sarimuddin; Mutmainnah Muchtar; Yuwanda Purnamasari Pasrun; Laode Abdul Fajar Hasidu; Riska Riska
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.9210

Abstract

Mangrove forests are one type of forest that grows in tropical and subtropical regions and plays a crucial role in maintaining ecosystem balance. One way to assess the health of mangrove communities is through regular monitoring and evaluation using modern technology such as digital image processing. The percentage of mangrove canopy cover can serve as a key indicator in evaluating the health and population density of mangrove communities. This study aims to implement the Otsu thresholding method in a digital image processing-based system capable of automatically determining the health status of mangrove communities based on the percentage of mangrove canopy cover. Mangrove canopy cover images were acquired using hemispherical photography techniques. Experimental results show that the system built using the Otsu thresholding method has an average Relative Absolute Error (RAE) of 0.034 and average Mean Error (ME) of 0.052, with an average processing time of 5.3 seconds. This indicates that the system can automatically determine the health status of mangrove communities in a relatively short time. It also suggests that the process of determining the health status of mangrove communities aligns with direct field observations.