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All Journal Jurnal Teknologi Pendidikan Jurnal Mantik Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) MEANS (Media Informasi Analisa dan Sistem) Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN Journal of Vocational Education and Information Technology (JVEIT) Innovative: Journal Of Social Science Research

Reni Rahmadani

Pendidikan Teknologi Informatika Dan Komputer, Fakultas Teknik, Universitas Negeri Medan

Author-ID : 1944730

Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Other

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Implementasi Algoritma Merkle-Hellman Knapsack dalam Penyandian Record Database Rahmadani, Reni; Hutahaean, Harvei Desmon; Sari, Ressy Dwitias
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

A lot of data is misused without the data owner being aware of it. Software developers must ensure the security user data on their system. Due to the size of the market that houses data, the security of record databases must be of great concern. Cryptographic systems or data encryption can be used for data security. The Merkle-Hellman Knapsack algorithm is included in public-key cryptography because it uses different keys for the encryption and decryption processes. This algorithm belongs to the NP-complete algorithm which cannot be solved in polynomial order time. This algorithm has stages of key generation, encryption, and decryption. The results of this study secure database records from theft by storing records in the form of ciphertext/password. Ciphertext generated by algorithmic encryption has a larger size than plaintext.

Penerapan Algoritma Mixed Heuristic dalam Penilaian Ujian Pada Jurusan Pendidikan Teknik Elektro Universitas Negeri Medan Sari, Ressy Dwitias; Rahmadani, Reni
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

During the COVID-19 pandemic, teaching and learning activities switch of technology such as e-learning. In the Department of Electrical Engineering Education, Universitas Negeri Medan, 80% of electrical lecturers provide multiple choice exams and short answers. The scoring system cannot be performed automatically by a computer. The algorithm used in this study is a Mixed Heuristic algorithm. This algorithm is used because it is an effective way of working for sentences of more than 1 word. And give the results in the form of ranking in the form of similarity proportions. From the process of using a mixed heuristic algorithm, it can be proven that this algorithm can perform keywords on the answer keys and answers of users or students. The algorithm is also able to provide value to a user or student's answers

Web-Based Simulation System in Formulating Sustainable Replanting Mendoza, Muhammad Dominique; Suwanto, Fevi Rahmawati; Matondang, Ishaq; Hutajulu, Olnes Yosefa; Rahmadani, Reni; Sari, Ressy Dwitias
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.17556

Abstrak Simulasi berbasis web harus mencakup kemampuan untuk mendistribusikan dan menggabungkan model dan hasil simulasi dengan mudah, mirip dengan aksesibilitas dan kemampuan penyusunan publikasi web kontemporer. Kehadiran konten web yang dapat dieksekusi, kapasitas untuk portabel secara universal, pemanfaatan teknologi komponen, dan ketersediaan paket standar tingkat tinggi untuk akses database dan pembuatan antarmuka pengguna grafis merupakan faktor penting yang memfasilitasi implementasi simulasi berbasis web. Pemanfaatan perangkat lunak berbasis komponen memungkinkan penciptaan lingkungan simulasi yang sangat modular, memfasilitasi penggunaan ulang komponen perangkat lunak secara ekstensif. Pengaturan simulasi menghadapi tekanan yang semakin meningkat karena sifat simulasi berbasis web yang luas. Penggabungan teknologi komponen dalam lingkungan simulasi berbasis web memungkinkan perlakuan model simulasi sebagai komponen individual, yang dapat dirakit secara fleksibel untuk membangun model. Selain itu, simulasi berbasis web ini memfasilitasi hubungan dinamis antara input dan output simulasi dengan sistem basis data, sehingga menyediakan sarana yang nyaman dan mudah beradaptasi untuk menyimpan hasil simulasi. Kata Kunci: Java, Penanaman Kembali, Berkelanjutan, Simulasi Berbasis Web

Academic Performance Prediction of PTIK Students through Machine Learning Models at Universitas Negeri Medan Tansa Trisna Astono Putri; Reni Rahmadani; Rosma Siregar; Hanapi Hasan
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v7i1.29570

This study addressed the need for an effective approach to predicting student academic performance in higher education using data-driven methods. The study aimed to implement machine learning models to predict the academic performance of students in the Information and Communication Technology Education Study Program at Universitas Negeri Medan. A quantitative predictive design was employed using a dataset of 40 student records. Five classification models were tested, namely Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, and Naïve Bayes. The results showed that all models produced strong predictive performance. Decision Tree achieved the highest accuracy at 93.1%, Logistic Regression produced the highest precision at 95.9% and the highest F1-score at 93.2%, while Support Vector Machine obtained the highest recall at 93.2%. These findings indicated that machine learning was feasible for predicting student academic performance in the study program. The study concluded that Logistic Regression provided the most balanced overall performance and had strong potential to support early academic intervention and data-based academic decision making in higher education.

Implementation Of Learning Based On Creative Thinking Skills Using Augmented Reality To Improve Academic Achievement Of Students In Computer Assembly Courses Reni Rahmadani; Tansa Trisna Astono Putri; Muhammad Dominique Mendoza; Olnes Hutajulu; Elsa Sabrina
Journal of Vocational Education and Information Technology (JVEIT) Vol. 7 No. 1 (2026): Jurnal JVEIT : Vol 7 No 1 2026
Publisher : Lembaga Pengembangan dan Inovasi Universitas Dharmas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56667/jveit.v7i1.2135

This study aims to evaluate the effectiveness of implementing Creative Thinking Skills (CTS)-based learning using Augmented Reality (AR) media to improve students’ academic achievement in the Computer Assembly course. The research employed a quantitative approach with a quasi-experimental method and a one-group pretest–posttest design. The subjects consisted of 30 undergraduate students of the Information and Computer Technology Education Study Program at Universitas Negeri Medan. The instruments used included a learning outcomes test, a CTS assessment rubric, and a student satisfaction questionnaire toward AR media. The learning outcomes were analyzed using the Normalized Gain (N-Gain) test, while the CTS scores were examined using a paired t-test, and the satisfaction data were analyzed descriptively. The findings showed that the use of AR significantly improved students’ learning outcomes with an average N-Gain value of 0.72 (high category). The students’ CTS scores also increased across all indicators—fluency, flexibility, originality, and elaboration—achieving an overall category of “highly creative.” Furthermore, the average satisfaction score of 4.26 (out of 5) indicated that students were very satisfied with AR-based learning. These results demonstrate that integrating AR media with CTS-based learning effectively enhances both academic performance and creative thinking abilities. Therefore, this model is recommended for use in other technology and vocational courses to promote innovation and deeper conceptual understanding.

Co-Authors Adilla Ulfhi Azmi Rizky Lubis Azqal Azkia Devi Silvia Panjaitan Eka Dodi Suryanto Elsa Sabrina Fevi Rahmawati Suwanto Fikri Hanif Hamzah, Afif Hanapi Hasan Hervei Desmon Hutahaean Hutahaean, Harvei Desmon Hutajulu, Olnes Yosefa Ishaq Matondang Khofifah Qalbun Salima Marwan Affandi Matondang, Ishaq Maulana, Bagoes Mendoza, Muhammad Dominique Mendoza, Muhammad Dominique Olnes Hutajulu Olnes Y. Hutajulu Purba, Julio Aldrin Putri, Tansa Trisna Astono Ressy Dwitias Sari Rosma Siregar SABRINA, ELSA Sari, Ressy Dwitias Sihombing, Gracia Napare

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