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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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Design and Build an IoT-Based Shoe Dryer Monitoring and Control System Apriandi Alfa Reza Saragih; Pardede, A M H; Simanjuntak, Magdalena
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.v4i1.672

Abstract

Wet shoes that are not dried immediately can lead to the growth of bacteria and fungi that can potentially damage the shoes and cause health problems in the user. Therefore, an effective and efficient shoe dryer is needed. This research aims to design and develop a monitoring and control system for shoe dryers based on the Internet of Things (IoT) that can be operated remotely through a web-based application or mobile device. The system consists of several main components, namely humidity and temperature sensors, microcontrollers, wireless communication modules, and heating elements. Humidity and temperature sensors are used to detect the condition of the shoe and the surrounding environment, while the microcontroller is in charge of processing the data and regulating the operation of the heating element as needed. With the wireless communication module, users can monitor and control the drying process in real-time through an application connected to the internet.
Linear Regression Analysis in Predicting the Amount of Stock of HP Sparepart Goods in GMT Gilang Aryudha; Hasibuan, Wilda Rina
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.v4i1.676

Abstract

The rapid advancement of the digital era has made smartphones an essential part of daily life, making the availability of high-quality spare parts crucial for their seamless operation. GMT, a store specializing in smartphone spare parts, faces challenges in predicting fluctuating consumer demand, often leading to either stock shortages or excesses. To address this issue, this research develops a stock prediction system based on linear regression, which analyzes sales data to accurately forecast stock needs. The implementation of this method has resulted in improved accuracy in stock management, enabling GMT to optimize inventory, minimize potential losses, and enhance both customer satisfaction and operational efficiency.
Analysis of Village Residents Receiving Social Assistance Using Linear Regression Method Rafli Fitriawan; Saragih, Rusmin; Ambarita, Indah
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.v4i1.677

Abstract

This study aims to analyze the recipients of social assistance in Banyumas Village using the simple linear regression method. The research examines how household income affects the amount of social assistance received. Data was collected from the Banyumas Village Office, including information on income and the amount of social assistance received by residents. The results show a negative relationship between household income and the amount of assistance received, where higher income leads to smaller assistance. The model also demonstrates good accuracy with an average prediction error (MAPE) of 9.38%. Additionally, an R² value of 0.999972 indicates that the model can explain almost all variations in the data. This study provides valuable insights into the effectiveness of the social assistance program in Banyumas Village and to help improve the program in the future.
Application of Bayes Method to Predicting Vertigo Disease Syaiful Ikhram Lubis; Lubis, Imran; Suci Ramadani
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.v4i1.680

Abstract

Health is very important in life. However, sometimes awareness of a healthy lifestyle and regular diet is still neglected. Many diseases and symptoms arise due to irregular lifestyle and diet, one of which is vertigo. Vertigo is a different type of headache from regular headaches and migraines. It involves a sensation of movement or a feeling of motion of the body or surrounding environment, caused by a disturbance of the body's balance. Symptoms include a feeling of spinning, a swaying sensation, or a spinning environment, often accompanied by nausea, vomiting, cold sweat, and the urge to lie down to feel better. From the Bayes method calculation process in this study, it can be seen that the patient suffers from Vertigo disease, namely Vertigo Central (P02) with a value of 0, 7212 or 72.12%.
Rainfall Prediction Analysis Using the Fuzzy Time Series Method in Medan City Zikri, Syaftial; Hasibuan, Wilda Rina
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.v4i1.685

Abstract

The increasingly significant climate change causes high rainfall variability, thus requiring an accurate prediction method for disaster mitigation planning and water resource managment. This study aim to analyze rainfal prediction in Medan City using Fuzzy Time Series (FTS) methode. Historical rainfall data for Medan City for a certain period is collected and processed to build an FTS model. The fuzzification process is carried out to convert numerical data into fuzzy values, then the time series relationship is identified to predict the next rainfall value. Based on Chen's fuzzy time series with the detemination of the average-based interval, the Medan City rainfall forecast based on January 2019-December 2023 data obtained the forecast results for January 2024 is 386.7 mm. From the result of tests that have caried out, the best number of sampels be used in the Medan City rainfall case is 60 data, namely the period January 2019 - December 2023.
Optimizing Web-Based Survey Applications with Laravel and Cloud Computing Saputri, Nanda; Safriadi, Safriadi; Dahlia, Zaharatul; Rahmadani, Rahmadani
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.v4i1.691

Abstract

This study aims to optimize the performance of a web-based survey application through the implementation of the Laravel framework and cloud computing technology. Survey applications often face challenges regarding response speed and scalability as the number of users increases. In this research, performance testing of the application was conducted both before and after optimization. The test results show that the application's response time significantly decreased after the implementation of Laravel and cloud technology. Before optimization, the average response time reached 4.5 seconds at 1,000 users, while after optimization, it dropped to 2.2 seconds. This performance improvement was achieved through efficient caching implementation, database query optimization using Eloquent ORM, and balanced load distribution via load balancers. Additionally, the application's availability increased to 99.9% thanks to cloud features such as auto-scaling and data replication. The conclusion of this study indicates that the combination of Laravel and cloud computing technology is effective in enhancing the performance and reliability of web-based survey applications, providing practical guidance for other web application developers facing similar challenges.
Development of a Cloud Computing-Based Collaboration Information System Anwar, Anwar; Zulman, Muhammad Reza; Arhami, Muhammad; Nahar, Nahar; Safriadi, Safriadi
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.v4i1.692

Abstract

The rapid advancement of information and communication technology has created a demand for efficient and effective information systems to facilitate collaboration among institutions. This study develops a cloud computing-based collaboration information system designed to enhance real-time communication, data management, and collaboration among users. The system comprises key modules, including collaboration management, document management, and integrated collaboration features. Testing involved various scenarios with 10 to 100 active users simultaneously, revealing that the system maintained stable performance with response times under 3 seconds for each user request. Furthermore, security assessments utilizing encryption protocols and two-factor authentication confirmed that the managed data is protected from external threats. The findings underscore the system's potential to improve collaborative efficiency while ensuring data security, making it a valuable solution for future collaborative initiatives.
Web-Based Library Information System at Santo Yospeh High School Medan Ijonris, Yusuf
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.v4i1.694

Abstract

The library is very important in supporting the knowledge and information of students in schools because the library is part of the learning resources that schools must have, therefore the library is often referred to as the heart of education. Currently, the Library of Santo Yospeh High School Medan, which currently has not been computerized, makes it difficult to carry out the process of borrowing and returning books, as well as registering as members and giving fines. For this reason, SMA Santo Yoseph Medan requires a library that has a web-based library system. The tools used to design this library information system are by using the PHP and MySql programming languages. The results of the design of this web-based library information system are expected to be able to help library admins in carrying out the process of borrowing and returning books, processing book and member data, and creating library data reports
Analysis and Comparison of the Performance of K-Means Algorithm and X-Means Algorithm in Disease Type Clustering in Mitra Medika Hospital Herdawani Afdilla; Hasibuan, Wilda Rina
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.v4i1.696

Abstract

The system used by the hospital is currently still manual in managing patient data and information. What happened at Mitra Medika Hospital is that it is difficult to provide medical needs related to the patient's illness, considering the many types of illnesses that provide many medical needs. Several inpatients have used BPJS facilities with various illnesses suffered by patients to undergo further examinations in order to recover from the illness they are suffering from. Mitra Medika Hospital only sees medical needs based on the illness suffered by the patient, but seeing the large amount of patient history data makes it very difficult for Mitra Medika Hospital to find out the group of illnesses that patients often experience. This study uses a quantitative approach which starts from a theoretical framework, expert ideas, or researchers' understanding based on their experience, then developed into problems and their solutions that are submitted to obtain justification (verification) or assessment in the form of empirical data support in the field. Here, a data mining pattern is applied where this data mining is a very large data mining (big data). Cluster 0: From 245 Men (Suffering Between Diseases 1-5) Cluster 1: From 255 Women (Suffering Between Diseases 6-10) By using the K-Means Algorithm and the X-Means Algorithm, clustering can be produced. By using the Disease History data, the K-Means Algorithm and the X-Means Algorithm methods can be applied to determine clusters. By using web programming, it can produce an Analysis and Comparison of the Performance of the K-Means Algorithm and the X-Means Algorithm in Clustering Types of Diseases at Mitra Medika Hospital.
MOORA Method Analysis For Decision Support System Determining the Best Subsidized Housing in Tanjung Morawa Marpaung, Preddy; Suci Amalia Sari; Fadya Larasati; Pasaribu, Sutrisno Arianto
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 3 (2024): June 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i3.702

Abstract

Subsidized housing is a government program as an alternative for low-income communities so that the primary needs of the community such as housing are met, especially for people who are already married. One of the areas where subsidized housing is located is the Tanjung Morawa area, Deli Serdang, North Sumatra. However, the problem for the community or employees who want to find a residence to live in the Tanjung Merowa area is the difficulty in determining a subsidized house that suits their wishes, such as comfort, housing price, house model, strategic location. The factor that makes it difficult for people to determine a residential house is because there is no knowledge or information about which subsidized house is the best according to the criteria to be occupied. Therefore, it is necessary to apply a method to analyze to determine the best subsidized house, the Objective Optimization on the basis of Ratio Analysis Simple (MOORA) method is applied to analyze the decision support system to determine the best subsidized house in Tanjung Morawa, where the MOORA method is able to produce the best subsidized house based on the highest value or ranking, where the highest value is ranking 1 alternative 6, Mulia Residence housing.

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