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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 128 Documents
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New Paradigm E-Learning Model Based on Artificial Intelligence: New Paradigm E-Learning Model Based on Artificial Intelligence Relita Buaton; Achmad Fauzi; Mesra Yel
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 1 (2022): October 2022
Publisher : Yayasan Kita Menulis

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Abstract

This research concerns the application of a new paradigm learning that provides flexibility for educators to formulate learning designs and assessments according to the characteristics and needs of students. To improve the quality of education in Indonesia, the government has made various breakthroughs and most recently is a new paradigm learning system to create a Pancasila student profile that accommodates all differences in students, is open to all and provides the needs needed by each individual. Therefore an application system is needed to support learning a new paradigm based on artificial intelligence, artificial intelligence plays a role in knowing the level of abilities and needs of students and follow-up learning according to the needs and abilities of students available in online learning media. With the e-learning application, a new paradigm based on intelligence is produced by smart adaptive e-learning that can accommodate each individual or student with a background of different levels of abilities, weaknesses, talents and interests with artificial intelligence and machine learning technology approaches that will identify students with a diagnostic assessment that is used as a recommendation for planning learning according to the needs and abilities of students
Model of the Independent Learning Campus Internal Quality Assurance System Program based on Artificial Intelligence: Model of the Independent Learning Campus Internal Quality Assurance System Program based on Artificial Intelligence Muhammad Zarlis; Elviwani; Ami Dilham; Relita Buaton
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 1 (2022): October 2022
Publisher : Yayasan Kita Menulis

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Abstract

Research on models of internal quality assurance systems in tertiary institutions online and digitally based on artificial intelligence in supporting the Merdeka Learning Campus Merdeka program in accordance with the cycle of determination, implementation, evaluation, control and improvement. The system is supported by an artificial intelligence approach to determine the implementation and achievement of the Merdeka Learning Campus Merdeka standard and to help universities detect early the impact of the implementation of Merdeka Learning Kampus Merdeka on the development of student competence. The implementation of the Merdeka Learning Campus Merdeka program is recorded in a database with cycles of Determination, Implementation, Evaluation, Control and Improvement to analyze compliance with the establishment, implementation, evaluation, control and improvement of standards for one cycle each year. At the evaluation stage, standard achievement will be produced whether it exceeds, is achieved or deviates to be followed up at the control and improvement stage. With this application, it helps tertiary institutions carry out the standards for the Merdeka Learning Campus Merdeka program standards to be carried out and developed according to the cycle of Determination, Implementation, Evaluation, Control and Improvement
DEVELOPMENT OF HYBRID ENCRYPTION METHOD USING AFFINE CIPHER, VIGENERE CIPHER, AND ELGAMAL ALGORITHM TO SECURE TEXT MESSAGES IN DATA COMMUNICATION SYSTEM RIFDAHTUL GHINAA SINAMBELA; Achmad Fauzi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 2 (2023): February 2023
Publisher : Yayasan Kita Menulis

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Abstract

With the development of technological advances in this day and age, it definitely requires a security system on messages and data. The way to maintain the security of data, messages or information requires a branch of science in its application, one of which is the algorithm or cryptography method. In its application, it requires more than one stage of the security process, because data security can be done by combining methods in its security techniques. This research aims to develop encryption methods using Affine Cipher, Vigenere Cipher, and ElGamal Algorithm to secure text messages. Affine cipher, Vigenere cipher and ElGamal are cryptography that can encrypt and decrypt text messages. Encryption is changing the message or plaintext into an unreadable message or ciphertext, on the other hand, decryption changes the ciphertext or message that initially cannot be read into a message that can be read or plaintext back in its original form. The result of this research is the development stage by doing three encryption and decryption processes. For the first encryption process using Affine Chiper which produces the initial ciphertext, then re-encrypted using Vigenere Cipher, then the previous encryption results are carried out ElGamal encryption which produces the final ciphertext. Conversely, the decryption process is first on ElGamal, then Vigenere Cipher, and finally Affine Cipher whose decryption results in plaintext back in the form of the initial text message. So that by developing and combining three algorithm methods can increase the security of information and text messages.
A Decision Support System To Determine The Location Of A New Sales Branch At Star East Shop With The Smart Method Ahmad Nawawi; Suci Ramadhani; Anton Sihombing
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 2 (2023): February 2023
Publisher : Yayasan Kita Menulis

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Abstract

In a business world that is always dynamic and full of competition, business people must always think of ways to continue to survive and if possible develop their business scale in order to meet these business needs, there are many ways that can be taken, one of which is by conducting data analysis. . Bintang Timur shop is one of the businesses in the field of iron and building material shops in the city of stabat. Bintang Timur shop was founded in 2013 which continues to grow at this time. Equipped with the desire to meet the needs of users in the field of iron and building, Bintang Timur store continues to grow by adding various products. The profits obtained in this shop are also used to develop the business, one of which is the addition of goods sold. Based on the analysis that has been done, there are several obstacles faced by this eastern star shop. One of them is the process of finding a new sales branch location at the Bintang Timur store. In this study, a Decision Support System (DSS) will be built using the Simple Multiple Attribute Rating Technique (SMART) method which is a multi-criteria decision making technique based on each alternative consisting of of a number of criteria that have a value and each criterion. Based on the calculation results of the SMART method above, Tebasan (A1) is a new branch location at the Bintang Timur Store in Stabat City which is feasible with a value of 0.763.
Identification Identification of land and water Centella asiatica leaf herbal plants using digital imagery with the Sobel Edge Detection algorithm I Gusti Prahmana; Kristina Annatasia Br Sitepu
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 2 (2023): February 2023
Publisher : Yayasan Kita Menulis

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Abstract

Centella asiatica leaves or gotu kola leaves are wild plants that grow in Asian countries such as China, Indonesia, Japan and India. Since thousands of years ago, this gotu kola leaf has been known to treat various diseases. This plant is even used as a traditional herbal medicine in China and India. Centella asiatica is an annual herbaceous plant that grows and flowers throughout the year. Plants will thrive if the soil and environment are suitable to be used as a ground cover. Types of gotu kola that are often found are red gotu kola and green gotu kola. Centella asiatica is also known as antanan taman or antanan batu because it is found in rocky, dry and open areas. Centella asiatica grows with stolons and has no stems, but has rhizomes (short rhizomes). Meanwhile, green gotu kola is often found in rice fields and on the sidelines of the grass. Based on this problem, a study is needed to develop a system to determine the shape of leaf fiber density with a comparison of ground gotu kola and water gotu kola using image processing techniques to find the diameter. This measurement process uses the Matlab application and tests with the Sobel edge detection method and image processing to see edges that are more clearly visible. The results showed that the developed system was capable of obtaining images and identifying the fiber density of Centella asiatica leaves. The system was designed with Jupyter Notebook Python-based programming language analysis with image data taken via internet sources as research material.
IMPLEMENTATION OF THE SPIRAL METHOD FOR ANALYZING AND DESIGNING FINANCIAL INFORMATION SYSTEMS AND FINANCIAL ARCHIVES FOR CASHIER FINANCIAL MANAGEMENT SECTION (CASH INFORMATION REPLACEMENT) Muammar Khadapi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 2 (2023): February 2023
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Abstract

This title is backgrounded by financial management employees in the PT Telekomunikasi Indonesia.Tbk Cooperative in the form of Application.There are many problems happened such as the data did not saved well and the financial data was mixed with the other archive. The purpose of this research is to build a cashier application system which will enumerate employees in its financial arrangement, both income and from the cooperative and then become a file which is computerized will facilitate the employees. The methods which is used in this application development method is Spiral. It is the systematic approach and sequentially to software, start from users’ specification necessary until the planning, modeling, construction, and deployment. After analyzing the problems that occur then made the improvement to the current problem by build an application that supports web-based financial processes.
A Review: Design and Build Damage Detection Equipment on Sensors and Power Supply Automatic Rain Gauge (ARG) With Long Short Term Memory Integrated marzuki sinambela
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 2 (2023): February 2023
Publisher : Yayasan Kita Menulis

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Abstract

The Meteorology, Climatology, and Geophysics Agency (BMKG) technicians have successfully developed automatic rain measuring devices. This tool is called Automatic Rain Gauge - BMKG (ARG-BMKG). The existence of this instrument can replace conventional rain measuring observation systems or public rain stations in Indonesia. ARG – BMKG consists of a tipping bucket sensor, solar panels, GPRS modem, dry battery, and data logger. This repeated operation causes sensor measurement errors due to damage to the sensor due to the sensor voltage supply not meeting specifications, resulting in inaccurate data sent. Predicting sensor damage can be done with predictive maintenance. The results of field tests in previous studies showed that the system could operate properly where the device could measure the voltage of each sensor and send data to the database A sensor damage prediction model was designed and implemented using long-sort term memory (LSTM) by generating root mean square error (rmse). The system can provide damage prediction information on the sensor, and the power supply is displayed through the website properly
The Expert System Determines Children's Emotions with Learning Achievement Using The Web-based Damster Shafer Method Cellina Roanda Nasution
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 3 (2023): June 2023
Publisher : Yayasan Kita Menulis

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Abstract

Psychology studies human behavior and mental processes is possible there involved the use of technology, but the use and utilization of technology in the field of psychology is felt still lacking. One method that is still widely used in psychology that is by making the Demster Shafer sheet. Demster Shafer method can be modified in the form of computer applications, where the application is using the knowledge of experts of psychology entered into the computer called expert systems applications. Application of expert system is designed to determine the child's learning style at primary school age. Application of expert systems is expected to overcome the problems of determining the child's learning style. In addition, it can be used as a support in the field of psychology and can be used for public purposes and individuals in general.
Recruitment of STMIK Kaputama Laboratory Assistant with the Waspas method Sri Wulandari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 3 (2023): June 2023
Publisher : Yayasan Kita Menulis

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Abstract

Decision Support System (DSS) is one of the approaches that can be used in the selection process for accepting laboratory assistants in a tertiary institution. DSS is often used to assist various decision-making processes within an organization. Through the various stages contained in the DSS, it is able to produce the output in the form of the best alternative from the various criteria that have been determined by the decision maker. There are various methods that can be used in relation to DSS, one of which is the Weighted Aggregated Sum Product Assessment (WASPAS). The Decision Support System can speed up the recruitment of new Laboratory assistants according to predetermined criteria when recruiting prospective Laboratory assistants at STMIK Kaputama. The STMIK Kaputama Laboratory is a computer laboratory that is used to support practicum courses at STMIK Kaputama. Each course has at least one assistant. The requirements for prospective laboratory assistants are that they must register and meet the criteria as potential assistants. The results of this study indicate that the proposed model can be used properly in carrying out the selection process for laboratory assistant recruitment. the WASPAS method is able to produce decisions in the form of the best alternative that can be used to assist decision-making parties. so that it can determine who is eligible to be accepted as a computer laboratory assistant at STMIK Kaputama.
Design and Development of a Realtime Human Heart Rate Measurement System Using IOT-Based Pulse Sensors Surja Arafat; A M H Pardede
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 3 (2023): June 2023
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Abstract

The heart is one of the important organs that humans have, whose function is to pump blood throughout the body and accommodate it again after cleaning the lungs. Heart rate beats per minute (bpm) is a parameter to show the condition of the heart, and the way to find out the condition of the heart is to know the frequency of the heart rate. This heart rate monitoring tool is designed based on the NodeMCU ESP8266 and a pulse sensor to detect heart rate. This study aims to make it easier to know the heart rate frequency in realtime. A heart rate monitoring tool based on NodeMCU ESP8266 has been designed with a pulse sensor to detect heart rate. Heart rate data from monitoring results will then be sent via a wifi network connection and displayed on the Smartphone.

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