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All Journal Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Komputer, Informasi dan Teknologi Jurnal Informatika: Jurnal Pengembangan IT
Kencana, Lisdi Inu
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Computer Science & IT Dentistry Electrical & Electronics Engineering Medicine & Pharmacology Public Health

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Website-Based System Prototype Development for Classify Student Characteristics Kencana, Lisdi Inu; Rafrastara, Fauzi Adi; Paramita, Cinantya
Journal of Intelligent Computing & Health Informatics Vol 3, No 1 (2022): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v3i1.10364

Abstract

Student characteristics are important attributes in understanding their academic abilities and ways of thinking. In the teaching and learning process, the right learning strategy is very important to implement. According to the Hippocrates-Galenus Typology, personality types are categorized into four categories, including sanguinis, choleric, melancholics, and phlegmatics. The Classification of student characteristics using experience and intuition methods often gives inaccurate results and takes a long time to understand their behavior and way of thinking. In our research, we developed a prototype cognitive system website to classify student characteristics at SD Wijaya Kusuma 02 Semarang. There are several stages of the proposed method, including, communication, rapid planning, rapid design modeling, prototype construction, and delivery & feedback deployment. The C4.5 algorithm is applied as the modeling of student characteristics classification. The results showed a fairly good accuracy of 90.08%. It can be concluded that the C4.5 algorithm can classify student characteristics well.
Quantum Entropy-Based Encryption for Securing Communication Devices in TNI AU Space Units Kencana, Lisdi Inu; H.A Danang Rimbawa; Bisyron Wahyudi
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2091

Abstract

The rising threat of cyber-attacks demands advanced encryption technologies to ensure secure communication. This study evaluates the performance and security of the Quantum Shieldz Cipher integrated with Quantum Entropy-Based Encryption (QEBE) to address the limitations of conventional encryption methods. The main objective is to test the system's ability to generate unpredictable encryption keys, detect interception attempts, and resist quantum-based cyber threats. Experiments were conducted under various operational scenarios, including standard conditions, high interference, and high bandwidth environments, with a focus on its implementation for strategic communication in the Indonesian Air Force (TNI AU).The results show that QEBE effectively generates highly secure encryption keys using the Quantum Random Number Generator (QRNG), significantly reducing the risk of brute-force attacks. The system successfully detects interception by identifying changes in qubit states during data transmission. The implementation within TNI AU demonstrates its effectiveness in securing critical communication systems that require robust protection. However, the system relies heavily on stable network infrastructure with high bandwidth to maintain optimal performance. Compared to conventional methods, QEBE provides superior security and resistance to quantum-based attacks, albeit with a slight trade-off in processing speed. In conclusion, the Quantum Shieldz Cipher integrated with QEBE shows significant potential for enhancing secure communication systems, particularly in critical operations within TNI AU. This technology is a promising solution to safeguard against evolving cyber threats and quantum-based attacks.
Pengembangan Sistem Klasifikasi Karakteristik Siswa Berbasis Website dengan menggunakan Algoritma C4.5 Paramita, Cinantya; Rafrastara, Fauzi Adi; Kencana, Lisdi Inu
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 1 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i1.4678

Abstract

Student characteristics are one of the attributes of knowing a student's thinking skills and academic abilities. In the process of teaching and learning, appropriate learning strategies must be applied to students. The Hippocrates-Galenus typology categorizes personality types into four different categories, namely sanguine, choleric, melancholic and phlegmatic. Classification of characteristics that use an approach to students based only on experience or intuition can produce inaccurate results and take a lot of time to process. A system with the ability to predict student characteristics is needed in order to be able to assess students more quickly. In this study, the C4.5 algorithm was implemented into a system that aims to carry out the process of classifying the characteristics of students. From the results of the tests carried out, the C4.5 algorithm obtains an accuracy of 90.08%. This shows it is able to classify student characteristics well by using the C4.5 algorithm
Co-Authors Bisyron Wahyudi Fauzi Adi Rafrastara H.A Danang Rimbawa Paramita, Cinantya