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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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Web-Based Congregation Data Management Information System at Sumba Christian Church Kanjonga Bakul Ningsi Tamu Ina; Yustina Rada; Desy Asnath Sitaniapessy
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.v4i1.564

Abstract

The rapid development of technology in the current era of globalization has provided many benefits in progress in various social aspects. Every action we take today is closely related to the use of technology, especially in the field of computerization and the internet. Data Management of the Sumba Christian Church (SCC) / Gereja Kristen Sumba (GKS) Kanjonga Bakul Congregation is one of the activities that must be carried out by the church every year, this activity is carried out by BPMJ officers or administrators and monitored by pastors. However, in GKS Kanjonga basket, the system for GKS Jamaat Data Management is still carried out by each congregation assembly to collect data conventionally by collecting photocopies of Family Cards and collecting data directly at each congregation house to recap back to the physical ledger. This process experienced various obstacles, including the difficulty in recapitulating the entire data managed, as well as the lack of efficiency in managing the data of the GKS Congregation. This conventional process leads to a waste of time and effort that should not be happening today, as well as a high risk of errors and inaccuracies in the recorded data. From the problem of data management of the GKS congregation in Kanjonga Bakul, this research will develop an Information System for the Management of Data of the Sumba Christian Church using the Rapid Application Development (RAD) method. The web development in this study will use the Hypertext Preprocessor (PHP) programming language with the CodeIgniter framework that implements the Model-View-Control (MVC) concept. This technology can optimize and improve the quality of data management of GKS congregations in Kanjonga Bakul.
The Application of Fuzzy Time Series Method for Web-Based Prediction of Household Chemical Product Sales Stock Rangga, Muhammad Rangga Alvin Pratama; Sri Siswanti
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.v4i1.565

Abstract

The seasonal and trend factors of the market demand greatly influence the sales of household chemical products. Therefore, PT. XYZ company requires an accurate sales prediction system to optimize production and inventory. This research aims to develop a web-based sales prediction system for household chemical products using fuzzy time series method. This method considers the factors that influence sales and generates a prediction model that can assist the company in decision-making. This method allows the use of uncertain and unstructured variables in the prediction. The research collected historical sales data of household chemical products from January to December 2023 through interviews, observations, and literature studies. The system was designed using a structured approach and PHP programming language. The Fuzzy Time Series method was used for decision-making. The accuracy of the Fuzzy Time Series method for sales data from January to December 2020 was calculated through program simulation and manual methods, resulting in an accuracy rate of 13.71%. The application provides information on the sales of each product, with the hope that users can reduce the accumulation of stock every month.
Internet-Based Smart Door Design of Things (IOT) with Visitor Access Controller Indoor Nurmuhlisa; Fauzi, Achmad; Sembiring, Hermansyah
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.v4i1.566

Abstract

In the era of digital technology, the Internet of Things (IoT) has become an innovative solution in various sectors, including in access management and room security. This research aims to design and implement an IoT-based smart door system that is able to control visitor access using NodeMCU ESP8266 and send notifications through the Telegram application. The system uses PIR sensors to detect the presence of visitors and servo motors to operate the door automatically. When the number of visitors reaches the maximum set capacity, the system will automatically close the door and send a warning notification to the Telegram bot and activate the buzzer as a warning sign. Thus, this system not only improves the safety and comfort of visitors, but also helps prevent the spread of diseases by limiting the number of visitors according to a safe capacity. The test results show that this smart door system can function well in controlling visitor access and providing real-time notifications when the room capacity is exceeded. The implementation of this system is expected to be applied in various public places to improve security management and visitor capacity effectively.
Geographic Information System for Mapping Deployment Areas Dengue Fever in Umalulu District Rewa Ngguku, Arbin; Pingky Alfa Ray Leo Lede; Erwianta Gustial Radjah
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.v4i1.567

Abstract

Dengue fever is a disease caused by the dangue virus, causing serious health problems, especially in Umalulu sub-district, East Sumba Regency which has an area of 307.90 km2 and consists of 10 villages, each of which has an impact on dengue cases. This study aims to map the area of the spread of dengue fever in real time in Umalulu sub-district using a Geographic Information System (GIS), which is currently experiencing the problem of an increase in the number of dangue hemorrhagic fever cases and assistance that has not been targeted. The research method used is Waterfall, which follows the stages of planning, data collection, system analysis and design, implementation, and maintenance. Based on black box testing, this research succeeded in producing a web-based GIS that maps the dengue fever distribution areas in showing that the Lumbukore village is the area that has the highest number of cases with 12 and the Ngarukanoru village with the lowest area with 0 cases, with an average of many cases occurring in March and April of 2024 in Umalulu District, allowing users to analyze dengue disease distribution patterns provide recommendations for prevention and control measures for dengue disease more accurately and on target.
Agricultural Land Use Mapping Analysis Using the Geographic Information System in Temu Village Chintya Giba Alvia Burhanuddin; Yustina Rada; Erwianta Gustial Radjah
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.v4i1.568

Abstract

The agricultural sector remains a significant source of income for the people of East Sumba, particularly in Temu Village, Kanatang District, which spans 46.50 km². In Temu Village, a large portion of the population engages in farming and gardening, utilizing agricultural land that includes rice fields, fields, and plantations. Analyzing the current use of this land is crucial for predicting agricultural yields and proposing optimal land use strategies to ensure sufficient local food production. However, the distribution of agricultural land has not been thoroughly mapped, leaving gaps in information regarding the location and potential of these lands. This research aims to map the agricultural potential of Temu Village using Geographic Information System (GIS) technology through overlay and scoring methods, resulting in informative land use maps. The findings reveal that fields dominate the agricultural landscape with 1.648903 km² or 81.10% of the total agricultural land, highlighting the primary focus on field crops. Rice fields cover 0.270512 km² or 13.30%, while gardens occupy the smallest area of 0.113825 km² or 5.60%. These results demonstrate the potential for effective geographical management of plantations, rice fields, and agricultural fields based on their respective areas.
Design of a Guest Face Detection Tool Using ESP32-CAM Based on Internet of Things (IoT) Khadafi, Muhamad; Pardede, A M H; Sembiring, Hermansyah
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.v4i1.578

Abstract

This research develops an Internet of Things (IoT)-based guest face detection tool using ESP32-CAM to create a digital guestbook archive. The device distinguishes between guests and employees, with employee face data stored in a GitHub repository. When the device detects an unfamiliar guest face, a notification and photo are sent to a Telegram bot. If an employee's face is detected, a notification of the employee's name is sent to the Telegram bot. The method used is prototyping and the test results show that this tool is effective in detecting and digitally archiving guest visits.
Rivest Shamir Adleman (RSA) Super Encryption Algorithm with Vigenere Cipher Algorithm Modification for Image Security Mariza; , Achmad Fauzi; Yani Maulita
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.v4i1.581

Abstract

The development of information technology makes information easy to transfer and transmit digital media such as images and videos, but also brings security risks to data that is vulnerable to being infiltrated by irresponsible parties. Digital image security is a major concern in areas such as design security, medical science and architecture. Cryptography is a solution for protecting digital images, where encryption and decryption are the core. This research proposes a double encryption algorithm that combines Rivest Shamir Adleman (RSA) and Vigenere Cipher. The RSA algorithm, as the leading asymmetric cryptography algorithm, is used to secure the Vigenere key, which is then used to encrypt the image. This approach provides multiple layers of security, making attacks on images more difficult. The aim of this research is to analyze and implement the RSA algorithm with the Vigenere Cipher modification in digital image encryption, as well as evaluating the effectiveness, security and efficiency of the algorithm. The results show the success of this approach in protecting digital images from data attacks and hacking, although there is still room for improvement. In addition, this algorithm provides security without sacrificing the quality of the digital image. This research contributes to the development of digital image security methods, which are important in today's information age. By using this dual encryption approach, this research provides a solution that can be applied in a variety of contexts, maintaining the security and integrity of digital data in the face of increasingly complex threats.
Implementation of Chatbot Artificial Intelligence in a Company Website to Improve Customer Service Automatically Using the TF-IDF Method Hayati, Radhiah; Buaton, Relita; Ramadani, Suci
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.v4i1.584

Abstract

In today's digital age, improving customer service is one of the keys to business success. Successfully retaining and attracting new customers is a challenge that must be faced. The application of chatbot technology powered by artificial intelligence (AI) on business websites has been proven to provide more efficient and responsive customer service. This research aims to develop and implement an AI chatbot that uses the TF-IDF (Term Frequency-Inverse Document Frequency) method to automatically understand and answer customer queries. The TF-IDF method is used to extract key features from the text of customer questions and match them with the most relevant answers in the database. The results of implementing this AI chatbot showed a significant improvement in the speed and quality of customer service responses, thus helping to improve customer satisfaction and company performance. This research provides valuable insights for businesses looking to integrate AI technology into their customer service strategy.
Design of Gas Leakage Monitoring System Based on Android Application and NodeMCU ESP8266 Nabil Fuadi; Fauzi, Achmad; Khair, Husnul
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.v4i1.585

Abstract

Gas leakage is a serious problem that can threaten public safety and health and cause significant material losses. This research aims to design and implement a gas leak monitoring system that can be accessed remotely based on Android applications and NodeMCU ESP8266. NodeMCU ESP8266 is chosen as the main microcontroller equipped with an MQ-2 gas sensor to detect the presence of hazardous gas. This research incorporates Internet of Things (IoT) technology to allow users to remotely monitor the condition of gas leaks, thereby increasing the level of safety in the use of gas in households or small industries. The hardware design includes the use of an MQ-2 gas sensor that is sensitive to certain gas concentrations, as well as setting up an ESP8266 NodeMCU to transmit detection data to a Firebase server for later access through an Android application. The Android application was developed using Android Studio with a focus on an intuitive user interface to monitor the status of gas leaks in real-time. he research methods used include system design, hardware and software implementation, and thorough system testing by simulating gas leak scenarios to test the reliability and response of the system. The results show that the system can detect gas leaks with high accuracy. It is expected that the system developed in this research can be a practical and effective solution in reducing the risk of accidents caused by gas leaks, as well as making a positive contribution in increasing awareness of the safety of gas use in the community.
Linear Regression Algorithm the Effect of Game Time on Students' Reading Interest Ramadhan, Said; Novriyenni; Prahmana, I Gusti
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.v4i1.588

Abstract

Education plays an important role in shaping an individual's character and abilities, with students' interest in reading as the main foundation for intellectual development and critical thinking skills. However, in today's digital age, there has been an alarming decline in students' interest in reading, who are more interested in spending their free time playing games than reading. The development of information technology and digital entertainment such as smartphones, tablets, and computers has changed students' habits in utilizing their free time. Playing games is the main choice, while reading interest is marginalized, which has a negative impact on students' literacy skills. The decline in reading interest has serious implications, especially in Indonesia, where the Human Development Index (HDI) in the field of education is still low compared to neighboring Malaysia. This low interest in reading is influenced by the lack of reading habits from an early age and unequal access to education. Good reading skills not only affect academic achievement but also the development of critical, analytical, and creative thinking skills. This study aims to understand the factors that affect students' interest in reading, especially the influence of game time. The Simple Linear Regression method was used to analyze the relationship between game play time and students' reading interest, which provided valuable insights for educators and parents in designing effective educational strategies. The study focused on SMP Negeri 7 Binjai and used a linear regression method to analyze data on students' reading and gaming habits. The results of the study show that excessive game playing time, an average of 9 to 10 hours per day, has an impact on increasing and decreasing students' interest in reading. This data was analyzed using the RapidMiner application, which showed a correlation between playing games and students' reading interest.

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