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Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Published by Yayasan Kita Menulis
ISSN : -     EISSN : 28084519     DOI : https://doi.org/10.53842/jaiea.v1i1
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering
The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering applications, mechatronic engineering, medical engineering, chemical engineering, civil engineering, industrial engineering, energy engineering, manufacturing engineering, mechanical engineering, applied sciences, AI and Human Sciences, AI and education, AI and robotics, automated reasoning and inference, case-based reasoning, computer vision, constraint processing, heuristic search, machine learning, multi-agent systems, and natural language processing. Publications in this journal produce reports that can solve problems based on intelligence, which can be proven to be more effective.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 430 Documents
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Data Mining Predicts the Number of Scout Enthusiasts in Binjai City Using the Linear Regression Method Rahmat Ramadhan; Yani Maulita; Sihombing, Anton
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.651

Abstract

This study aims to predict the number of scout enthusiasts in Binjai City using a linear regression method. The data used includes the number of active scout members from the Alert, Fundraiser, and Enforcer levels during the 2018-2024 school year. The linear regression method was chosen because of its ability to predict future trends based on historical data. This research implements a linear regression algorithm through the Python programming language for the development of prediction systems. The problem in this study is that scout education in Binjai City has many impacts that can affect the number of scout enthusiasts in an educational institution. Some of the factors that can affect the quality of the teacher can be a determining factor in the interest in participating in scouting. With the existence of qualified scout teaching staff and creativity, students will be more in demand to participate in scouting.and the achievement of providing facilities provided from the School Level to the Branch Committee can also be a factor in attracting interest in participating in scouting and the support of school principals and the surrounding government can also be a determining factor in the development of scouting in the region so that activities from the school level to the international level are carried out which will be more in demand by scouting students. This finding is expected to help the Branch of the Binjai City Scout Movement in preparing and optimizing the number of scouting students in the future. This value means that the relationship between the free variable / predictor X and the bound variable / response Y is a low increase, the percentage is 93%. With the overall interest of 3191 scout members active scout members in the coming year with the number of Standby (1756 people), Fundraisers (662 people), Enforcers (773 people) So, the interest of scouts in the city of Binjai is influenced by the number of active Scout members this year.
Personnel System Application Design on CV. Intan Bakery Prabumulih City Adriano Dwi Sinjery; Fajriyah; Andi Christian
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.652

Abstract

Information technology is a technology that is generally used to assist humans in creating, changing, storing, communicating and disseminating information. By implementing a staffing system application in an organization or company, it can make it easier for management to plan, supervise, direct, and delegate work to all departments that have a command or coordination relationship with them. As well as increasing the efficiency and effectiveness of data that is presented accurately and on time. One of them is the implementation of the staffing system application. In employee processing, information is needed to make it easier to carry out employee performance. One of the important bases or references in establishing a policy in the field of personnel is employee data, in the form of individual data for each employee complete with their history. Personnel administration activities will affect the state of individual employee data and as a whole. The existence of computer devices is not too much help, because the data is stored and managed by each executor and not in a unified platform. Management or processing is the science and art of managing, controlling, communicating and utilizing all resources. This staffing system application is made using a website.
Selection of Outstanding Course Participants for Award Recipients Using the Topsis Method of Case Studies of Multilogic Course Institutions Riza Mahyuda; Rahmadani; Br Sitepu, Kristina Annatasia
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.656

Abstract

A course institution is an organization or institution that provides educational or training programs in various fields. This institution aims to improve the skills, knowledge, and competencies of course participants. Course institutions can operate formally or informally and offer different types of courses, ranging from short-term courses to more intensive programs. Examples of course institutions include vocational training centers, language schools, computer centers, and other professional educational institutions. In this study, the author wants to explain the determination of outstanding course participants by applying the TOPSIS method to get alternative students who are close to positive ideals and far from negative ideals, based on data on participant values, among others, course certificate assessment criteria, course average scores, skills, final project scores and attendance, the value of giving awards to participants in order to further improve the quality of participant achievement so that the participants are more enthusiasm in learning. The purpose of selecting outstanding students to give awards is to appreciate and recognize the efforts, abilities, and outstanding achievements shown by students. This award aims to motivate students to continue to excel, increase their enthusiasm for learning, and encourage healthy competition among participants. In addition, this award also serves as an inspiration for other students to strive to achieve the best results in their field of pursuit. After doing the preference value of each alternative, the largest score is owned by alternative V14 (Dwi Intan Sari) with a value of 0.801. It can be concluded that the recipient of the award for the outstanding participant in Multi Logika is Dwi Intan Sari.
Super Encryption of Rabin Cryptosystem Algorithm and Paillier Cryptosystem Algorithm on Digital Image Security Process Ramanda, Dika; Achmad Fauzi; Pakpahan, Victor Maruli
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.659

Abstract

Technological advances have given rise to the need for data protection, especially digital images, which are vulnerable to misuse. This research proposes a super encryption method that combines two cryptographic algorithms, namely Rabin Cryptosystem and Paillier Cryptosystem, to increase digital image security. Rabin's algorithm does not have homomorphism, so it is vulnerable to factorization attacks if the prime numbers used are too small. Meanwhile, the Paillier algorithm has homomorphism properties which allow arithmetic operations to be carried out directly on the ciphertext without decryption. By combining these two algorithms, this research aims to create a stronger and more efficient encryption method, and analyze its performance in terms of computational efficiency and complexity. It is hoped that the research results can improve the security and privacy of digital data, especially in the context of digital images.
Application of Cryptography and Steganography Techniques to Improving the Security of Text Messages with RC4 Algorithm and MSB Method Ihsan, Ihsan Muchlis; Achmad Fauzi; Husnul Khair
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.660

Abstract

This study discusses the application of cryptography and steganography techniques to improve the security of text messages using the Rivest Code 4 (RC4) algorithm and the Most Significant Bit (MSB) method. In the ever-growing digital era, data security is a top priority due to the increasing threat of cybercrime that can harm many parties. RC4 is a cryptography algorithm known for its encryption and decryption speed, while the MSB method is an effective steganography technique for hiding information in digital images. This study aims to develop an application that is able to encrypt text messages with the RC4 algorithm and hide them in digital images using the MSB method. With this combination, data is not only encrypted but also hidden, thus providing two layers of security to protect information from unauthorized access. The results of the study show that the combination of RC4 cryptography and MSB steganography techniques successfully improves data security well. The developed application is able to protect sensitive information from the risk of data theft and cyber attacks. In addition, this technique is also easy to implement and can be applied in various sectors, such as banking, health, and business communications, to protect sensitive data from unauthorized access. Keywords: Cryptography, Steganography, Most Significant Bit (MSB)
Decision Support System for Extracurricular Determination to Increase Student Involvement in Activities Outside the Classroom Using the AHP Method Rizky Ramadhan; Yani Maulita; Br Sitepu, Kristina Annatasia
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.664

Abstract

SMK Dharma Pancasila Medan is a private school located at Jl. Dr. T. Mansyur No.71 C Medan, Kel. PB Selayang. Currently, the selection of extracurricular activities at the school relies on a conventional manual system, lacking a formal system to identify the best extracurricular activities among the available options. This study aims to develop a Decision Support System (DSS) using the Analytical Hierarchy Process (AHP) method to evaluate and prioritize extracurricular activities based on four main criteria: achievement, short-distance running, height, and discipline. The system is designed to provide objective and measurable recommendations, facilitating students in choosing the most suitable extracurricular activities to enhance their success in out-of-class activities. The research findings demonstrate that the DSS developed with the AHP method is effective in providing accurate recommendations and increasing student engagement in extracurricular activities. The analysis and assessment process using AHP results in more targeted decisions aligned with the goal of enhancing student involvement. Overall, the system not only aids students in optimal extracurricular selection but also contributes to the development of better extracurricular activity strategies at SMK Dharma Pancasila Medan. This research enriches educational theory and practice by offering practical solutions to the challenges in extracurricular selection and enhances the overall educational experience for students.
Digital Image Security Analysis using Hill Cipher and AES Algorithm Ranti, Dwi; Achmad Fauzi; Sitompul, Melda Pita Uli
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.665

Abstract

In today's digital era, digital image exchange has become very common in various industries, but this also increases security risks such as counterfeiting, image manipulation, and information theft. To protect the confidentiality of information in digital images, encryption is a fairly effective method. Hill Cipher, as a classic cryptographic method, offers matrix-based encryption, while Advanced Encryption Standard (AES) is known for its high level of security and efficiency. By combining Hill Cipher and AES, encryption systems can leverage the strengths of classic and modern cryptography together, providing an additional layer of protection that strengthens the security of digital data and reduces vulnerabilities that may exist in each method separately. This approach provides a more comprehensive solution for maintaining the confidentiality of digital images in the context of evolving security threats.
Design and Construction of Guest Friendly Robot for Front Office Service on Campus Based on IoT Putri Purwani, Dea Nanda; Buaton, Relita; Milli Alfhi Syari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.666

Abstract

Amid the rapid advancements of the digital era, Internet of Things (IoT) technology has emerged as one of the most significant innovations, enabling electronic devices to connect and interact intelligently. This study aims to design and develop an IoT-based guest reception robot intended for front office services at the campus. The robot is designed as a prototype capable of welcoming guests, saying "welcome," and providing four key pieces of information about the campus. Utilizing components such as ESP32 and ultrasonic sensors, the robot is expected to enhance service efficiency while also offering a more interactive experience for campus visitors. The implementation of IoT in this robot is not only intended to improve visitor services but also to promote technological innovation within the campus environment. This study also explores the integration of hardware and software, as well as the features and functions needed to meet the requirements of front office services. Thus, this research is expected to serve as a foundational step toward creating a more modern and innovative campus.
Image Processing in Improving the Scan Results of Identity Cards and Family Cards with Noise with the Median Filtering Method Sholawati, Fitria; Novriyenni; Sihombing, Marto
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.668

Abstract

In the digital era, identity documents such as Identity Cards and Family Cards play a crucial role in administration and public services. The process of scanning these documents often results in images with noise that can interfere with data accuracy and identification. This research aims to improve the quality of scanned images by using the median filtering method to reduce salt and pepper noise. Median Filtering was chosen for its ability to preserve edges and details in images, which is crucial for identity documents such as Identity Cards and Family Cards. In this study, the system developed to enhance scanned images was implemented and tested. Evaluation results show that the Median Filtering method is effective in removing noise without damaging the edges and fine details of the images. The evaluation indicates that this system is effective in producing images that meet the quality standards required for official administration and identification. This research is expected to contribute to the development of digital image enhancement technology for identity documents, thus improving accuracy and reliability in public services.
Classification of Tile Productivity Data Based on Tile Type Using Random Forest Algorithm in Langkat Regency Muhammad Arif Ridho; Buaton, Relita; Muammar Khadapi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.670

Abstract

This study aims to classify data on the productivity of census in Langkat Regency based on the type of census by using the Random Forest algorithm. Ubinan is a method used to measure the productivity of food crops, and in this study, the data was processed with various variables such as planting area, type of fertilizer, type of pesticide, and production volume. The Random Forest algorithm was used to build a classification model that could predict the productivity of the tares with very high accuracy, reaching 99.58% in the training stage. The model categorizes the productivity of the samples into several levels, namely Very Low, Low, Medium, High, and Very High. The implementation of this system is also equipped with a MATLAB GUI interface, which makes it easier for users to train and test data efficiently. With this system, users can see the prediction results through intuitive visualization. This research is expected to help farmers and policy makers in improving agricultural productivity through data-based analysis.

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