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All Journal Jurnal Simantec JIKO (Jurnal Informatika dan Komputer) Jurnal Informatika dan Rekayasa Perangkat Lunak
Muhammad Fajar Jati Permana
Universitas Pendidikan Indonesia
Computer Science & IT

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Implementation of Least Significant Bit Steganography with Caesar Cipher Layout Dvorak web-based Ridhwan Nadif Kurnia; Al Diras Pradiptha; Muhammad Fajar Jati Permana; Kimberly Alfa Dipradja; Rizki Afrizal; Deden Pradeka; Zahra Khaerunnisa
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.28794

Abstract

Secure data communication is an essential requirement in the digital age, especially in the exchange of confidential information. One of the main problems is the potential for eavesdropping by unauthorised parties who can access open messages. To overcome this, this research aims to develop a website-based system that combines the Least Significant Bit (LSB) method steganography technique and the Caesar cipher method cryptography with the Dvorak keyboard layout to increase data security. The research method used is prototype method with the stages of concept formulation, prototype design, and continuous evaluation. The system was tested by inserting the word ‘TEKKOM’ into a digital image and measuring the quality using Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). The test results show an MSE value of 0.0001466049 and PSNR of 86.47 dB, which means that the visual quality of the image does not decrease significantly and the message is successfully inserted and extracted without errors. The Dvorak keyboard layout adds a layer of security through uncommon input patterns, making it difficult for outsiders to analyse. Thus, the system is able to provide a secure, efficient, and practical solution for web-based information hiding without the need for a database and is still user-friendly.Keywords: Dvorak, Steganography, Caesar Cipher, Least Significant Bit, Website
Pengembangan Website Interaktif Untuk Memfasilitasi Minat Kebersihan Kelas di Kalangan Siswa Menengah Pertama Wildan Tisna Surya Nugraha; Muhammad Fajar Jati Permana; Firda Rosela Sundari; Najwa Ikhsaniyah; Hammam Abdurrahman; Deden Pradeka; Anugrah Adiwilaga
JURNAL INFORMATIKA DAN KOMPUTER Vol 9, No 2 (2025): Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v9i2.1340

Abstract

AbstrakPenelitian ini bertujuan untuk meningkatkan kualitas kebersihan kelas di lingkungan sekolah melalui implementasi website interaktif. Kebersihan kelas yang sering terabaikan memiliki dampak signifikan terhadap kesehatan dan konsentrasi siswa, sehingga mempengaruhi efektivitas pembelajaran. Oleh karena itu, penelitian ini mengembangkan sebuah website menggunakan model pengembangan interaktif Waterfall yang meliputi tahapan analisis kebutuhan, desan sistem, implementasi, danpengujian. Website ini dirancang untuk memudahkan penjadwalan piket, memberikan informasi kegiatan, dan memotivasau siswa melalui fitur Leaderboard. Implementasi menggunakan framework Laravel memastikan struktur yang kokoh dan fleksibel. Pengujian dengan metode Blackbox menunjukkan bahwa setiap fitur berfungsi dengan baik, meskipun perlu pengujian lebih lanjut dengan lebih banyak pengguna. Hasil penelitian ini diharapkan dapat memberikan solusi inovatif untuk mengatasi masalah kebersihan di sekolah, meningkatkan kesejahteraan siswa, dan mendukung proses pembelajaran yang lebih efektif.
Kids Trackr: An AI-Powered Mobile-Based Information System for Monitoring Elementary School Child Development Muhammad Fajar Jati Permana; Wildan Tisna Surya; Destya Aulia Nurul Hutami; Munawir
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 8 No. 2 (2026): September
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kids Trackr is a mobile-based information system designed to facilitate the monitoring of primary school children's development in real-time and efficiently. This system integrates Artificial Intelligence (AI) technology through the use of Natural Language Processing (NLP) for chatbot features and Artificial Neural Network (ANN) for child development analysis based on academic data. Using the Agile software development approach, this application is built iteratively and adaptively to user needs, including features for lesson schedules, student attendance, child skills assessment, two-way communication between teachers and parents, and graph-based progress reports. The validation process was conducted through functionality testing and user trials involving teachers, parents, and students at SD Laboratorium Percontohan UPI Cibiru. The test results showed a high level of user satisfaction, with 87.3% of respondents stating the application was easy or very easy to use, 90% stating the application was interactive, and 83.3% stating the application was useful in monitoring children's development. In addition, the ANN algorithm is proven to be able to provide accurate predictive analysis of student learning outcomes. By combining AI technology and user-oriented design principles, Kids Trackr has great potential as an integrated solution in increasing parental involvement, teacher work efficiency, and accuracy of student development reporting at the primary school level.
Co-Authors Adiwilaga, Anugrah Al Diras Pradiptha Deden Pradeka Destya Aulia Nurul Hutami Firda Rosela Sundari Hammam Abdurrahman Kimberly Alfa Dipradja Munawir Najwa Ikhsaniyah Ridhwan Nadif Kurnia Rizki Afrizal Wildan Tisna Surya Wildan Tisna Surya Nugraha Zahra Khaerunnisa