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All Journal Cosmic Jurnal Teknik Jurnal Teknik Informatika dan Teknologi Informasi
Fiqri Dian Priyatna Sinaga
Universitas Islam Negeri Sumatera Utara
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Ekstraksi Fitur Citra Grayscale dengan Convolutional Neural Networks Diah Putri Kartikasari; Fiqri Dian Priyatna Sinaga; Tiara Ayu Triarta Tambak; Zahra Humaira Kudadiri; M. Khalil Gibran
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 1 (2025): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i1.5175

Abstract

This study aims to explore the use of Convolutional Neural Networks (CNN) in feature extraction from grayscale images for avocado object identification. The process begins with taking a grayscale image of the avocado object to be recognized. Convolution is applied using a 3x3 horizontal Sobel kernel filter with a stride of 1 to the right, and a ReLU (Rectified Linear Unit) activation function to improve the network's ability to extract relevant features. After the convolution stage, pooling is carried out using the max pooling method to reduce the image dimension while retaining important information, thereby speeding up the training process and reducing the risk of overfitting. The processed image is then flattened to produce a feature vector that is ready to be used in classification. The results of the study indicate that the CNN approach can be used as an effective method for feature extraction and edge detection on avocado objects from grayscale images.
Aplikasi Simulasi Enkripsi Menggunakan Metode Caesar Cipher Berbasis Website Fiqri Dian Priyatna Sinaga; Khoiratul Azmi; Afri Yunda Nasution; Rivaldi Prima Nanda; Ibnu Rusydi
Cosmic Jurnal Teknik Vol 2 No 4 (2025): November
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosmic.v2i4.1466

Abstract

Cryptography is a fundamental field in data security; however, it is often considered difficult for beginner students due to its abstract and mathematical nature. Previous studies indicate that learning Caesar Cipher is commonly conducted through theoretical approaches or desktop-based applications with limited interactivity and accessibility. Therefore, this study aims to develop a web-based Caesar Cipher encryption simulation application as an interactive learning medium. The system was developed using the prototype method, while functional testing was conducted using the black box testing approach. The effectiveness of the application was evaluated through primary data collected through questionnaires distributed to students. The results show that before using the application, 82.4% of students were at low to moderate levels of understanding, whereas after using the application, 100% of students reached a high level of understanding. These findings indicate that the web-based Caesar Cipher simulation application is effective in improving students’ understanding of fundamental cryptographic concepts prior to studying more advanced data security algorithms
Co-Authors Afri Yunda Nasution Diah Putri Kartikasari Ibnu Rusydi Khoiratul Azmi M. Khalil Gibran Rivaldi Prima Nanda Tiara Ayu Triarta Tambak Zahra Humaira Kudadiri