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Student Data Security Optimization using Multiple Cryptography to Improve E-Campus Services Azhari, Mulkan; Riza, Ferdy; Maulana, Halim
Blend Sains Jurnal Teknik Vol. 3 No. 4 (2025): Edisi April
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v3i4.814

Abstract

Data security is a critical aspect of e-Campus services, which manage student information. However, the risks of data breaches and hacking pose significant challenges, undermining user trust. This study aims to optimize student data security by implementing multiple cryptographic methods that combine Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) algorithms. The research methods include analyzing current security vulnerabilities, developing a security model based on algorithm combinations, and testing its effectiveness through Avalanche Effect measurement, process time evaluation, and user satisfaction surveys. The results indicate that the AES and RSA combination provides stronger protection against security threats, achieving an Avalanche Effect value of 52,36% while ensuring confidentiality, integrity, and data authentication. This implementation also maintains process efficiency, making it suitabble for use in e-Campus environments. This study not only offers a practical solution to enhance data security but also provides implementation guidelines that can be adopted by other higher education institutions.
Perancangan Aplikasi Keamanan Bank Soal Ujian Sekolah Menggunakan Algoritma Kriptografi Elgamal Berbasis Web Haibah, Mahmubin; Riza, Ferdy
Jurnal Sains, Teknologi & Komputer Vol. 2 No. 2 (2025): Jurnal Sains, Teknologi & Komputer (SAINTEK)
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/saintek.v2i2.1051

Abstract

Data security is a crucial aspect of the education system, particularly in the management of school exam question banks. Leakage of exam questions can compromise the integrity of the evaluation process and affect the credibility of educational institutions. To address this challenge, this study designs a web-based application for securing exam question banks by implementing the ElGamal cryptographic algorithm. This algorithm is chosen for its ability to maintain data confidentiality through encryption and decryption processes, as well as its use of distinct public and private keys. The application allows users or teachers to upload exam questions in PDF format, which are then encrypted using the ElGamal algorithm, ensuring that only those with the private key can access the contents. Testing was conducted to ensure that the application's functionalities work properly, from the upload process, encryption, file and private key storage, to the decryption of the exam file. The implementation results show that the system effectively secures exam questions and can be easily accessed by authorized users. With this system, the distribution and storage of exam questions are expected to be more secure, efficient, and confidential.
Dari Data ke Informasi: Pengantar Sistem Informasi untuk Siswa Tommy, Tommy; Lubis, Ihsan; Lubis, Husni; Lubis, Imran; Syahputri, Nenna Irsa; Elhanafi, Andi Marwan; Siregar, Rosyidah; Khairani, Mufida; Riza, Ferdy
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 5 (2025): Juli
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i5.2675

Abstract

Pemahaman tentang sistem informasi merupakan kompetensi dasar yang penting bagi lulusan sekolah menengah kejuruan (SMK), khususnya pada bidang Teknik Komputer dan Jaringan (TKJ) serta Rekayasa Perangkat Lunak (RPL). Namun, materi mengenai sistem informasi secara konseptual dan aplikatif masih belum banyak dijumpai dalam kurikulum pembelajaran di tingkat SMK. Pengabdian kepada masyarakat ini bertujuan untuk mengenalkan konsep dasar sistem informasi kepada siswa SMK Nurul Amalia Tanjung Morawa melalui pendekatan edukatif dan interaktif. Kegiatan ini melibatkan beberapa tahap, mulai dari koordinasi dengan sekolah, penyusunan materi, pelaksanaan pelatihan, hingga evaluasi sederhana. Metode pembelajaran yang digunakan memadukan penyampaian teoritis, pemutaran video edukatif, diskusi kelompok, serta simulasi alur kerja sistem informasi yang relevan dengan lingkungan sekolah dan dunia kerja. Hasil kegiatan menunjukkan bahwa pelatihan ini mampu meningkatkan pemahaman siswa terhadap konsep dan penerapan sistem informasi, serta menumbuhkan minat mereka terhadap profesi di bidang teknologi informasi. Siswa juga menunjukkan antusiasme tinggi dalam sesi interaktif. Berdasarkan hasil ini, disarankan agar topik sistem informasi diperkenalkan secara lebih terstruktur dalam pembelajaran vokasional serta diikuti dengan kegiatan lanjutan yang mendorong pengembangan keterampilan aplikatif di bidang tersebut.
Penerapan Hybrid C4.5 dan Naïve Bayes untuk Rekomendasi Jurusan Kuliah pada Siswa SMA Lubis, Tiara; Riza, Ferdy
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.13502

Abstract

This research aims to design and build a web-based college major recommendation system for high school students focused on SMA Negeri 8 Medan using a hybrid C4.5–Naïve Bayes approach. The C4.5 algorithm is used for feature selection from report card grades and interest test results, while Naïve Bayes classifies majors based on the selected features. This research uses a quantitative approach because the main focus of this approach is on the analysis of numerical data generated by the model. Specifically, the research will measure evaluation metrics such as accuracy, precision, recall, and F1-score to objectively assess how effective the system is in providing major recommendations to students at SMA Negeri 8 Medan. The results of this research are that a web-based system has been successfully designed and developed using a hybrid approach of the C4.5 and Naïve Bayes algorithms where C45 is used in the feature selection stage to determine the most influential attributes (grades and interests) in determining majors, and the Naïve Bayes algorithm is used as the main classification model to predict majors based on the selected features.
Smart Quality Control Berbasis IOT untuk Peningkatan Mutu Pengemasan Makanan Kering di Umkm Te-Man Pospera Kampung Kurnia Belawan Riza, Ferdy; Martiano, Martiano; Arianty, Nel
Prioritas: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 02 (2025): EDISI SEPTEMBER 2025
Publisher : Universitas Harapan Medan

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

Abstract

UMKM TE-MAN POSPERA di Kampung Kurnia, Belawan, Sumatera Utara, menghadapi tantangan dalam pengemasan makanan kering berbasis ikan teri, dengan 28% produk terbuang akibat kontaminasi kelembapan dan umur simpan pendek (2-3 minggu) karena metode pengemasan manual. Program Pengabdian kepada Masyarakat (PKM) ini bertujuan meningkatkan kualitas dan efisiensi produksi melalui pengembangan model Smart Quality Control (Smart QC) berbasis IoT dan vacuum seal packing. Kegiatan meliputi sosialisasi, pelatihan selama 7 hari, penerapan teknologi, serta pendampingan dan evaluasi. Hasilnya, sistem Smart QC dengan sensor kelembaban (<12% RH) meningkatkan konsistensi kualitas produk hingga 60% dan mengurangi pemborosan bahan baku hingga 25%, sementara vacuum sealing memperpanjang umur simpan hingga beberapa bulan. Pelatihan meningkatkan keterampilan pekerja dalam menggunakan teknologi modern, mendukung daya saing UMKM.
Base-Delta Dynamic Block Length and Optimization on File Compression Tommy; Riza, Ferdy; Siregar, Rosyidah; Yeni, Manovri; Elhanafi, Andi Marwan; Nurmadi, Ruswan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1993

Abstract

Delta compression uses the previous block of bytes to be used as a reference in the compression process for the next blocks. This approach is increasingly ineffective due to the duplication of byte sequences in modern files. Another delta compression model uses the numerical difference approach of the sequence of bytes contained in a file. Storing the difference value will require fewer representation bits than the original value. Base + Delta is a compression model that uses delta which is obtained from the numerical differences in blocks of a fixed size. Developed with the aim of compressing memory blocks, this model uses fixed-sized blocks and does not have a special mechanism when applied to file compression in general. This study proposes a compression model by developing the concept of Base+Delta encoding which aims to be applicable to all file types. Modification and development carried out by adopting a dynamic block size using a sliding window and block header optimization on compressed and uncompressed blocks giving promising test results where almost all file formats tested can be compressed with a ratio that is not too large but consistent for all file formats where the ratio compression for all file formats obtained between 0.04 to 12.3. The developed compression model also produces compression failures in files with high uncompressed blocks where the overhead of additional uncompressed blocks of information causes files to become larger with a negative ratio obtained of -0.39 to -0.48 which is still relatively small and acceptable.
The Aplikasi Model Text Area Based Image Selective Encryption Menggunakan YoloV3, Arnold's Catmap dan AES Pada Pengamanan Konten Teks Pada Citra Digital Riza, Ferdy; Azhari, Mulkan; Zulherry, Andi
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 5 (2025): Oktober 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i5.9261

Abstract

sensitive content in digital images. This research proposes a selective encryption model based on text area detection in digital images, integrating object detection using You Only Look Once version 3 (YOLOv3), Arnold's Cat Map transformation, and the Advanced Encryption Standard (AES) algorithm. The model automatically identifies and selects areas containing text in the image using YOLOv3, applies Arnold's Cat Map for spatial disorganization, and then encrypts the transformed result with AES to ensure data security. System performance is evaluated through visual quality analysis using PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index) parameters, as well as encryption and decryption processing time. The test results show that this approach can maintain the integrity of non-text areas while providing strong protection for sensitive text areas without compromising efficiency or overall visual quality. This model has the potential to be applied in the context of securing digital documents, visual identities, and other sensitive data in images.