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All Journal Jurnal Kesmas dan Gizi (JKG) JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS)
Safitri, Riri
Unknown Affiliation
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health

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EduCrypt: A Secure File Data Sharing Platform using Hybrid Encryption for Cloud-Based E-Learning Arsyad, Andi Arniaty; Safitri, Riri; Murbawisesa, Lambda Sangkala
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5086

Abstract

The rise of cloud-based learning environments has transformed education but has also exposed vulnerabilities in data security. Learning Management Systems (LMSs) often handle sensitive academic data without adequate protection, leaving it vulnerable to unauthorized access and data breaches. This study introduces EduCrypt, a secure file-sharing platform that uses hybrid encryption, combining AES for fast data encryption and RSA for secure key exchange. In this research, a Hybrid Waterfall–Iterative method was used as the overarching research methodology to guide requirements analysis, architectural design, system implementation, and evaluation. EduCrypt integrates seamlessly with Moodle LMS via token- and credential-based authentication. Its architecture includes asynchronous RabbitMQ workers for efficient synchronization and a user-friendly web interface for secure file operations. Benchmark tests demonstrate stable encryption and decryption times under 300 ms for files up to 30 MB, showcasing both scalability and efficiency. Security evaluations confirm that EduCrypt effectively mitigates brute-force attacks, SQL injection, and man-in-the-middle attacks. This research resulted in a validated enhancement in file security practices for LMS through the implementation of a hybrid cryptographic model. Furthermore, the outcome includes a fully functional EduCrypt prototype integrated with Moodle, along with performance and security evaluation results.Keywords - Data Security, Hybrid encryption, File sharing, E-learning, Cloud computing.
Design and Implementation of a Blockchain-based Shipment Tracking Proof-of-Concept for Academic Application Arsyad, Andi Arniaty; Safitri, Riri; Pradani, Winangsari; Nurbojatmiko, Nurbojatmiko; Abdullah, Abdullah
Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Vol 5, No 1 (2025): Desember 2025
Publisher : UniversitasAl Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/psn.v5i1.5053

Abstract

The demand for secure, transparent shipment tracking is rising as digital logistics advances. Traditional centralized tracking systems face issues such as data delays and manipulation, which reduce trust and accuracy. This research aims to create a blockchain-based shipment-tracking system that serves as both a prototype and an educational tool for students. The system features a user interface built with Vue.js and utilizes a middleware layer with Node.js and Express.js. A smart contract in Solidity is deployed on a local Ethereum network using the Hardhat framework. This prototype allows students to engage with decentralized application development and explore interactions among front-end components, middleware, and smart contracts. Each transaction is recorded immutably, with an average gas consumption of about 175,000 units and execution times under 2 seconds, while preventing duplicate shipments. This research offers a functional shipment-tracking model that provides transparent data recording and serves as an effective framework for blockchain education, bridging theoretical concepts with practical applications in higher education.Keywords – Academic Application, Blockchain, Shipment Tracking, Smart Contract, Solidity.
Qualitative Analysis of Borax with Butterfly Pea Flower Extract (clitoria ternatea) in Tofu Sold by Traders SAFITRI, RIRI
JURNAL KESMAS DAN GIZI (JKG) Vol. 8 No. 2 (2026): Jurnal Kesmas dan Gizi (JKG)
Publisher : Fakultas Kesehatan Masyarakat Institut Kesehatan Medistra Lubuk Pakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35451/wzf66910

Abstract

Butterfly pea flower extract can function as a qualitative indicator in detecting borax in various foods, which is characterized by a color change from blue to green or other colors after interacting with samples containing borax. Borax is often used as a food preservative, for example in tofu. The impact of the use of borax added to food can have a negative impact on the health of people who consume it. This study aims to describe the borax content in tofu sold by traders in the Pasar 6 Kualanamu village area, Beringin District. This study is a qualitative study with a descriptive approach. This approach is used because the study focuses on observing phenomena that occur visually, namely the color change of butterfly pea flower extract (Clitoria ternatea) when reacting with tofu samples to determine the presence or absence of borax in the food ingredients being tested. The results of the qualitative analysis of borax with butterfly pea flower extract (Clitoria ternatea) on all tofu samples are negative with the resulting color blue. Interpretation of the color results after adding butterfly pea flower extract, if the result is blue or purple indicates negative borax (does not contain borax), if the result is bluish green indicates positive borax (contains borax). This shows that the tofu obtained from traders A, B, C who sell in the village area of ​​​​Kualanamu Market 6 does not contain borax. Awareness of the dangers of using borax is very necessary for all parties to avoid the negative impacts caused by the use of borax in food.
Co-Authors Abdullah Abdullah Arsyad, Andi Arniaty Gayatri, Annura Minar Mardhika, Dimas Ayu Murbawisesa, Lambda Sangkala Nunung Nurhasanah Nurbojatmiko Nurbojatmiko, Nurbojatmiko Pradani, Winangsari Supriyanto, Arif Suri, Qilla Aulia Tanjung, Widya Nurcahayanti