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All Journal QISTINA: Jurnal Multidisiplin Indonesia
Hidayat, Muhammad Ferdiansyah
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Religion Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing

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Implementation of AI in Student Health Risk Analysis: Case Study Using Random Forest and SVM Algorithms Daulay, Parhan; Ridho, Muhammad; Hidayat, Muhammad Ferdiansyah; Dewi, Sri; Ramadhani, Fanny
QISTINA: Jurnal Multidisiplin Indonesia Vol 3, No 2 (2024): December 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v3i2.4160

Abstract

The health of students on campus is often threatened by stress and unhealthy living habits, such as poor sleep patterns or lack of physical activity. Students' health is important to their achievement and well-being. By using AI and machine learning algorithms such as Random Forest and Support Vector Machine (SVM), we can analyze health data more quickly and accurately. This helps detect problems early and provide timely assistance. Early identification of students who have the potential to experience health problems, so that timely intervention can be carried out. This research uses quantitative methods by collecting from various sources related to the use of AI and machine learning algorithms in analyzing student health at Medan State University. Data was collected through a survey at Medan State University, covering daily habits such as sleep patterns, physical activity and stress levels. With the results of this analysis, campuses can design health policies that are more effective and appropriate to student needs. It is hoped that this research can contribute to improving the health and well-being of students in the campus environment, as well as preventing more serious health problems in the future.
Implementation of the Caesar Chiper Method in Cryptography for Message Data Security Hidayat, Muhammad Ferdiansyah; Ridho, Muhammad; Indra, Zulfahmi
QISTINA: Jurnal Multidisiplin Indonesia Vol 3, No 2 (2024): December 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v3i2.4027

Abstract

Data security in the digital era is a very important aspect, especially in maintaining the confidentiality and integrity of information transmitted over the network. One of the classic cryptographic methods that is often used to secure messages is the Caesar Cipher. This method uses a simple substitution technique, where each letter in the message is shifted a certain number of steps in the alphabet. This research discusses the implementation of the Caesar Cipher method as a basic solution for message data security. Although this algorithm is relatively easy to implement and understand, the Caesar Cipher has weaknesses, mainly due to its fixed shifting pattern making it vulnerable to brute force attacks or frequency analysis. Through testing and implementation, this research shows how Caesar Cipher works in the encryption and decryption process, and evaluates its effectiveness in protecting messages from unauthorized access. The results show that this method, although less powerful than modern algorithms, can still be used for certain scenarios that do not require a high level of security. On the other hand, the weaknesses underscore the importance of developing and using more complex cryptographic methods to protect more sensitive information in today's digital era.
Co-Authors Daulay, Parhan Muhammad Ridho Ramadhani, Fanny Sri Dewi Zulfahmi Indra, Zulfahmi