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Cryptography System Based on SEMT Labeling of Total Path and Its Application for Securing Image File by Using Android Studio Trisha Magdalena Adelheid Januaviani; Bahrirrudin Bahrirrudin; Nikita Nikita; I Wayan Sudarsana; Nasria Nacong; Agusman Sahari; Hajar Hajar; Selvy Musdaifah; Moh Ali Akbar; Tri Prasetia Ningrum
JURNAL SISFOTEK GLOBAL Vol 16, No 1 (2026): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v16i2.15934

Abstract

Cryptography is one of the mathematical techniques used to address information security issues. The study of information security is essential due to the rapid development of information technology, which increases the risk of unauthorized access to sensitive data. Android smartphones are among the most popular communication devices, offering various features such as text messaging, image sharing, audio, video, and more. Given people use Android widely, data stored on Android devices is highly vulnerable to hacking attempts. Therefore, a cryptographic approach based on graph labeling will be applied to secure images on Android smartphones. This method utilizes the Super Edge Magic Total (SEMT) labeling for total path graphs to encrypt and decrypt image pixels, ensuring the security of images. Furthermore, this technique will be implemented to develop an Android-based application using Android Studio. The study results indicate that total path graphs satisfy the SEMT labeling properties and the developed application functions effectively on Android devices to secure images.
Design and Formative Validation of a Guided Discovery Learning Model Integrated with Motivation to Reasoning and Proving Tasks Selvy Musdalifah; I Wayan Sudarsana; Sukayasa; Dasa Ismaimuza; Sutji Rochaminah; Nurhayadi
Jurnal Penelitian Pendidikan IPA Vol 12 No 2 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i2.13909

Abstract

This study develops and evaluates an instructional model that integrates Guided Discovery Learning with Mathematical Reasoning and Proving (MRP) Tasks to support undergraduate students’ construction of mathematical proofs in Real Analysis. The research focuses on two foundational criteria in instructional development, namely validity and practicality. Expert review involving five specialists produced high Aiken V and ICC values, indicating strong conceptual coherence, structural alignment, and reliability of judgment across components of the model. Practicality was examined through one to one evaluation, small group testing, and a field implementation involving lecturers and students. Across these stages, the model received high ratings for clarity of instructional flow, readability of tasks, feasibility of classroom enactment, and support for structured reasoning processes. The findings demonstrate that the model is both theoretically sound and operationally feasible, providing a coherent pedagogical trajectory that guides learners from exploration toward formal proof construction. This study contributes a validated instructional model and establishes a foundation for future research on its effectiveness and broader applicability in advanced mathematics learning.