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Journal of Artificial Intelligence and Engineering Applications (JAIEA)

JAIEA
Website

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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IMPLEMENTATION OF FUZZY LOGIC USING SUGENO METHOD OF SCHOLARSHIP DETERMINATION Boy Alberto Sitanggang Boy
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

Scholarships are funding that does not come from own funding or parents, but is provided by the government, educational institutions, private companies, universities, and schools that can provide opportunities to increase human resource capacity through education. To increase student interest in learning in the school environment by providing scholarships or assistance to students who are economically disadvantaged. The process of selecting scholarship recipients includes three variables, namely report cards, attendance, and student attitudes. Based on the variables above, the data will be processed to produce student decisions that deserve scholarships with a success rate of 88.88%. In order to produce fast and precise decisions and to avoid mistakes in selecting students, we need an appropriate method that can be used to assist decision makers in carrying out their duties. By using the right method, the school will be easier to make decisions. The method to overcome this problem is through the application of fuzzy logic with the Sugeno method.

Application Of Sugeno Fuzzy Logic In The Determination Of Employee Incentives Fernandez Erik Napitu
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

Suzuya superstore is one of the marketers of human needs products that have various types of products. Suzuya already has several branches in Indonesia which are located in North Sumatra, Aceh, West Sumatra, and Riau. Suzuya was founded in 1983 and currently suzuya already has more than 22 outlets, one of which is in Pematangsiantar. Suzuya superstore Pematangsiantar has employees who are divided into several teams, one of which is the cashier team. The cashier team is the spearhead of the sale of focus items, where the focus item is the flagship product of suzuya superstore Pematangsiantar. The cashier team is also responsible for the sales transaction service process at suzuya superstore Pematangsiantar. The existence of incentives can motivate the work spirit of the cashier team in increasing sales, work speed, and good transaction processing service attitude at suzuya superstore Pematangsiantar. In determining the feasibility of the cashier team receiving incentives at suzuya superstore Pematangsiantar, three variables were used, namely sales of focus items, assessment of work attitudes, and assessment of work speed. Based on the results of processing the cashier team's data using the fuzzy logic algorithm, the Sugeno method, manually and using Matlab software, there was no significant difference. So that Fuzzy Logic with the Sugeno method can be used to determine employee incentives at suzuya superstore Pematangsiantar

Comparison Of AHP And Topsis Methods In Determining Scholarships For Elementary School Students Efansius Tarigan
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

The regional coordinator of the Siantar sub-district is the education office in the Siantar sub-district. The office is used to store elementary school student data in the Siantar sub-district before it is submitted to the education office in Simalungun district. In collecting data on students in each school, employees sometimes find it difficult to filter out which students have the highest grades in each elementary school and determine who deserves assistance from the Simalungun Regency Government for those who excel. Therefore, the comparison of the AHP and TOPSIS methods in determining the scholarships for elementary school students at the Siantar District Regional Coordinator is to carry out a ranking of alternatives in the form of student data. The AHP and TOPSIS methods are compared because this method determines the weight value for each attribute, which is followed by ranking a number of available options and then re-selected to find the best choice.

Optimization of Higher Education Internal Quality Audits Based on Artificial Intelligence Relita Buaton; Zarlis Muhammad; Elviwani; Ami Dilham
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

Internal Quality Audit is an independent and documented systematic testing process to ensure that the implementation of activities in higher education is in accordance with the procedures and the results are in accordance with the standards to achieve the goals of the institution. Quality can be guaranteed by ensuring that each individual has the skills he needs to do the job properly. Quality orientation in development life in Indonesia is something that is very urgent, must be supported and developed in order to respond to the trend of global competition. There are significant differences in the accreditation and quality assurance system with the previous version, it is necessary to develop a strategy by building an artificial intelligence-based system. The method used is to build an online system by involving experts and assessors to develop concepts in accordance with the points of the 9 criteria accreditation forms, to build a digital quality audit form for matching and the level of conformity between the implementation of higher education standards and the standards set, the benefit is to help universities implement digital and intelligent based internal quality audits, know the tri dharma standards of higher education that must be improved, maintained and deviated

Application Of The C4.5 Algorithm To Determining Student's Level Of Understanding Adeita A. Ndraha; Jaya Tata Hardinata; Yuegilion Pranayama Purba
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

This research was conducted to find the rules of the model in measuring the level of students' understanding of the subject. During this pandemic, the learning process is carried out online, so it is difficult to measure students' ability to master the material. This measurement needs to be done so that the evaluation process can be carried out so that the ability of students in one group to achieve the target level of understanding. Currently, evaluation activities have never been carried out because they do not have a model so that evaluation can only be done by giving quizzes and exercises. This problem can be solved by using data mining algorithm C4.5. Attributes used as parameters for assessing student understanding of lessons such as Teaching Method (C1), Learning Media (C2), Communication (C3), Experience (C4), Teaching Materials/Modules/Assignments (C5), Learning Duration (C6). The six attributes are used to find the relationship between each other that influence each other to get the highest root so that a decision tree will be obtained that produces the rules of the relationship between each attribute in determining student understanding of the subject. This rule or rule will be used as the basis for making an information system so that it can be applied to end users, namely schools.

Implementation Of The K-Means Method In Grouping Districts And Cities In North Sumatra On Social Welfare Problems Edisman Rahul Gonjales Siahaan
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

Social welfare problems are obstacles, difficulties or disturbances experienced by a person, difficulty or disturbance. or groups that cannot carry out their social functions and cannot establish harmonious and harmonious relationships with the surrounding environment. In this case, the problem of social welfare that the author does is in the province of North Sumatra which has 33 districts and cities. The source of this research data comes from the Central Bureau of Statistics of North Sumatra. The aim of this is to apply the k-means method in grouping districts and cities on social welfare issues that can help the government and social services in making decisions which areas should be dominantly assisted in solving social welfare problems in order to save costs. The k-means method is one of the methods in data mining to group data sets that are similar to others. The data are grouped into 3 clusters, namely high, medium and low clusters, the results of the high cluster are 2 regencies/cities, the medium cluster is 6 regencies/cities and the low cluster is 25 regencies/cities, these results can be a record for the local government and agencies in dealing with social welfare problems in regencies and cities in North Sumatra

The Application of ANN Predicts Students' Understanding of Subjects During Online Learning Using the Backpropagation Algorithm at SMAN 1 Perbaungan rendiarno rendiarno; Hasanul Fahmi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

This study is a study to predict the level of students' understanding of the subjects given by educators at SMAN 1 Perbaungan. This study aims to determine how far the level of understanding of students in understanding lessons, especially during the current covid-19 pandemic, which is a process of teaching and learning activities carried out from their respective homes or using online learning media. The method used is an artificial neural network with Backpropagation algorithm with variables used are knowledge values, skill scores, mid-semester exam results, end-semester exam results, and attitude scores. The five variables are used to support predicting the level of student understanding of the subject using the single layer Backpropagation Algorithm. The architectural model used is 5-2-1 with a success accuracy of 85%. The smaller the error value that is close to 0, the smaller the deviation of the results of the Artificial Neural Network with the desired target.

EXPERT SYSTEM FOR HYPOTHYROIDISM DIAGNOSIS USING CASE BASED REASONING METHOD (CASE STUDY OF MELATI II Public Health Center) dewinda rimanti; Hasanul Fahmi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

In this study, we will discuss the development of an expert system application for diagnosing Hypothyroidism. In diagnosing Hypothyroidism, this expert system will use the Case-Based Reasoning (CBR) method. CBR uses artificial intelligence in solving problems based on knowledge from previously stored cases. Case data was obtained from medical records from the results of handling Hypothyroidism patients diagnosed by internal medicine specialists. There are 5 types of hypothyroidism disease with one symptom of the disease in the old case. And there are new cases that will be used to calculate the similarity value to the old cases that exist in the knowledge base owned by the system.

DECISION SUPPORT SYSTEM FOR DETERMINING THE BEST TEACHER USING TOPSIS METHOD (CASE STUDY : SMP NEGERI 1 GALANG) iinvera niar; Hasanul Fahmi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

SMP Negeri 1 Galang has activity in determining the best teacher, however, at SMP Negeri 1 Galang the determination of the best teacher still uses the manual method, namely by calculating on paper with a predetermined format. In this case, of course, it takes a long time, considering that there are many junior high school teachers, and also requires many criteria. This is what makes researchers want to conduct research in order to design a decision support system for determining the best teacher using the TOPSIS method at the 1st Galang Junior High School. The Technique for Order Preference by Similarity to Ideal Solution (Topsis) method is one method that is often used in determining a decision, therefore researchers use this method in making a system. With the existence of a decision support system, it can help the school in determining the best teacher, so that the determination of the best teacher can be done accurately and quickly

Student Satisfaction Level Analysis Of Online Learning During Pandemic Covid 19 Using C5.0 Algorithm James Hasudungan Sihombing
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

The Simalungun University Foundation Tourism Vocational School is a private school located in Pematangsiantar. At this time there are problems in the learning process. And currently the data collection used by researchers in obtaining student satisfaction data is by sampling. In this study, data were obtained from giving questionnaires to students of the Simalungun University Foundation Tourism Vocational School which were categorized using five variables, namely teaching methods, learning media, communication, teaching materials/modules, and learning duration. Data Mining using the C5.0 algorithm is proven in analyzing satisfaction in the teaching and learning process. Research result able to find out the results of the analysis of the level of student satisfaction with online learning and find the highest score, can help the Tourism Vocational School of the Simalungun University Pematangsiantar Foundation in optimizing online learning today.

Page 3 of 13 | Total Record : 128

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Akim Manaor Hara Pardede

Contact Email
jaiea@ioinformatic.org

Phone
+6281370747777

Journal Mail Official
jaiea@ioinformatic.org

Editorial Address
Jl. Gunung Sinabung Perum. Grand Marcapada Indah. Blok. F1. Kota Binjai. Sumatera Utara

Location
Unknown,

Unknown

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Akim Manaor Hara Pardede

Contact Email jaiea@ioinformatic.org

Phone +6281370747777

Journal Mail Official jaiea@ioinformatic.org

Editorial Address Jl. Gunung Sinabung Perum. Grand Marcapada Indah. Blok. F1. Kota Binjai. Sumatera Utara

Location Unknown, Unknown INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Akim Manaor Hara Pardede

Contact Email
jaiea@ioinformatic.org

Phone
+6281370747777

Journal Mail Official
jaiea@ioinformatic.org

Editorial Address
Jl. Gunung Sinabung Perum. Grand Marcapada Indah. Blok. F1. Kota Binjai. Sumatera Utara

Location
Unknown,

Unknown

INDONESIA