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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 11 Documents

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Search results for , issue "Vol. 1 No. 3 (2022): June 2022" : 11 Documents clear

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.

Application Of K-Means Algorithm In Grouping Productive Seed Distribution Data In BPDASHL Asahan Barumun Dina Patresia Samuana Manurung
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

Preserving the environment is a human effort that must be done immediately so that survival can be maintained properly. One of the human efforts in preserving the environment is planting and maintaining trees in the surrounding environment. Balai Pengelolaan Daerah Aliran Sungai dan Hutan Lindung (BPDASHL) Asahan Barumun has a Permanent Nursery that produces 19 types of productive seeds, where productive seeds have an ecological impact for reforestation and an economic impact to improve people's welfare. BPDASHL Asahan Barumun provides and distributes productive seeds to people who want to participate in preserving the environment. Before distributing productive seeds, the nursery staff of BPDASHL Asahan Barumun conducted data collection which was added to the distribution data for productive seeds to find out to whom and how many seeds were distributed. In the data on the distribution of productive seeds of the Asahan Barumun BPDASHL, it can be seen that almost every day the distribution of productive seeds to the community is carried out, so the addition of data to the distribution data is getting more and more. Data mining is able to process large data into information in the form of patterns that have meaning for decision support. By using K-Means algorithm in classifying the 2019/2020 BPDASHL Asahan Barumun distribution data by type, so that the final results obtained are 3 clusters where there are 6 seeds that are most in demand, including suren, jengkol, mahogany, avocado, durian, coffee, 10 seeds that are quite in demand, including pine, calliandra, macadamia, petai, sugar palm, cempedak, frankincense, mango, africa, trembesi, and 3 seeds that are less desirable, including meranti, jackfruit, macadamia nut.

Analysis Of Multiple Regression Data Mining Methods On The Prediction Of Ibtidaiyah School Registration Fica Oktavia Lusiana
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

Data mining originates from data explosion problems experienced by agencies / companies that have collected data from various kinds of transactions. Data mining is the process of looking for patterns or interesting information in selected data using certain techniques or methods. Techniques, methods, or algorithms in data mining vary widely. The choice of the right method or algorithm is very much dependent on the objectives and the overall Knowledge Discovery in Database (KDD) process. The algorithm used in this research is Multiple Linear Regression. School is a suitable place for the application of this method, therefore this research was conducted at the Madrasah Ibtidaiyah Sinaksak Foundation School. The purpose of this study, among others, was to determine the number of registrants at the Madrasah Ibtidaiyah Foundation School (YMI) Sinaksak. In this study, researchers used multiple linear regression association data mining methods. Sources of research data used are observation and interview methods. It is hoped that from the research the school can make a decision or strategy in the estimation of registrants in the following year.

Prediction Of Customers at Bank Rakyat Indonesia Using Backpropagation Algorithm Pandu Nugroho
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

This study aims to see the development of the number of BRI bank customers in the following year. With this prediction, it is hoped that it can help bank bri in making policies related to customers who save more easily. The data source is obtained from Bank Rakyat Indonesia (BRI). In this study, researchers used the Backpropagation Algorithm. Backpropagation Algorithm is an algorithm that functions to reduce the error rate by adjusting the weight based on the desired output and target. The benefit of this research is to determine the increase or decrease in savings customers at the BRI bank in the following year. And artificial neural networks using the backpropogation algorithm can be applied in analyzing the increase in the number of bank bri customers by determining the best architectural model from a series of training and testing processes carried out.

Knearst Algorithm Analysis – Neighbor Breast Cancer Prediction Coimbra I Gusti Prahmana; Kristina Annatasia Br Sitepu
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

A process to explain the results of the KNN algorithm analysis with the prediction of Breast Cancer Coimbra disease (Breast Cancer). The prediction output of the KNN algorithm will be added with the Simple Linear Regression algorithm modeling to measure the predictive data through a straight line as an illustration of the correlation relationship between 2 or more variables. Linear regression prediction is used as a technique for the relationship between variables in the prediction process of the Breast Cancer Coimbra data set (Breast Cancer). for the value of K in analyzing the KNN algorithm, take the nearest neighbor with the ranking results with K = 5 nearest neighbors which are taken in the KNN calculation. Which is where the output of the KNN algorithm classification will be analyzed with the Simple Linear Regression algorithm with Dependent (Cause) and Independent (effect) variables. The test results determine that the patient has breast cancer and the number of predictions based on age with glucose means that the patient is predicted to have breast cancer. analyze the KNN algorithm with Simple Liner Regression modeling with Python programming language.

Impact of Educational Games To Introduction Tourist Destination In Central Java On Elementary School Student Budi Satria
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

Educational games are learning media in the form of games that contain material in them. Includes questions, guessing pictures or etcetera. Educational games can also become alternative learning media in the covid-19 pandemic. This study aims to determine the effect of educational games on the understanding of elementary school students regarding the introduction of tourist objects in Central Java. The method is pre-experimental research through pretest and posttest to determine the effect of two variables but there is no control group. Students of SDN 3 Purbalingga Lor are the subjects of this study, with a frequency of 14 students. Pretest data was obtained, the lowest score was 10 and the highest was 70, with an average grade as 33. If you look at posttest results, the highest score was obtained with a score of 100 and the lowest score was 80, with an average grade of 95. This proves the educational games have an effect on the ease of students in understanding the material, especially to know tourist attractions in Central Java.

RBA WEB-BASED STICKER ORDERING INFORMATION SYSTEM: WEB-BASED STICKER ORDERING INFORMATION SYSTEM Rabiatul Adwiya Adwiya
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

Ordering is an activity that is often carried out when transacting in trade or services between customers and providers of products and services. At printing office the ordering process is used to order sticker prints where the customer can place an order without coming directly to the printer, the problem that occurs is that there is often a difference in data in ordering and ordering financial statements because when placing an order there are still several applications that can be used. lead to a higher error rate. The design of the sticker ordering information system on the printing office Web-based administrator uses a prototype method that defines the workflow of the system starting from the activities of designing applications. The result of this design is a design in the process of making cover letters to archiving cover letters. Web design on this information system uses Draw.io as a diagram editor in making UML, use cases, activity diagrams, ERD and LRS.

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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