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Journal of Artificial Intelligence and Engineering Applications (JAIEA)

JAIEA
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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 327 Documents

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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 Prahmana, I Gusti; Annatasia Br Sitepu, Kristina
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 Satria, Budi
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 Adwiya, Rabiatul 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.

IMAGE DETECTION EDGE IMAGE USING CANNY EDGE ALGORITHM Damanik, Romanus
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 3 (2022): June 2022
Publisher : Yayasan Kita Menulis

In general, edge detection is widely used in image processing to find the boundaries of objects in an image. In this study, a technique for detecting edges that is commonly used will be studied, namely the Canny method under different conditions using Visual Studio software. In the testing process that the author carried out, it was concluded that sooner or later a process of converting an object would be, that the following factors affect the conversion process, including; type of image, image resolution, image format, specifications of the camera used to take pictures as well as the specifications of a computer that has a processing speed that is expected to be able to process images (images). The use of the Canny method to detect the edges of an image is considered more accurate and effective because this method is able to provide detailed output by including a calculated execution time

APPLICATION OF CASE BASED REASONING (CBR) METHOD IN DISTRIBUTION TRAFO DAMAGE EXPERT SYSTEM AT PLN UP3 BINJAI Aris Wahyono, Aris Wahyono; Akim Manaor Hara Pardede; Rahmadani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 1 (2022): October 2022
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v2i1.111

In the world of electricity, transformers are widely used, both in the field of electric power and electronics. The use of transformers in the electric power system is used for each of its needs, for example the need for high voltage in the delivery of electrical power over long distances. Electrical equipment transformers are expensive and are very vital equipment. If the transformer is disturbed or in an abnormal condition, there may be an unexpected temporary cessation of electricity distribution and will cause losses for PLN and consumers who use electricity by disrupting the activities carried out. The Case Based Reasoning (CBR) method is a case-based reasoning system that uses previous experiences or cases so that they can solve new problems or cases. There are several stages in the case based reasoning method, including retrieve, reuse, revise, and retain. Case-based Reasoning (CBR) collects previous cases that are similar to the new problem and tries to modify the solution to fit the new case. The basic idea of Case-Based reasoning is the assumption that similar problems have similar solutions. While this assumption is not always true, it does depend on many practical domains. Where the previous case experienced an overvoltage transformer damage, using the CBR method will look for similarities to the previous case with existing characteristics, the CBR method will look for the same case on the existing Knowladge so that the damage is quickly detected. From the characteristics of the damage that is on the transformer, it is easy to diagnose transformer damage using the CBR method and the results of the CBR method will find a ranking that is almost similar to the existing case.

Implementation of the Importance Performance Analysis Method in Measuring the Level of Community Satisfaction with Service Performance Haumetan, Efrida_R; Nababan, Darsono
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 1 (2022): October 2022
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v2i1.112

Service can be said to be satisfactory, if the service can meet community satisfaction. A satisfaction is achieved if the service received by the community is in accordance with what is expected. To determine the level of community satisfaction with service performance at the Department of Population and Civil Registration, North Central Timor Districts, it is necessary to have a system to measure the level of community satisfaction. The measurement of community satisfaction is carried out using the Importance Performance Analysis (IPA) method which considers the level of interest or expectations of the respondents, with indicators or dimensions in the form of physical tangibles, reliability, responsiveness, assurance, and empathy. The result of this research is the construction of a website-based Measurement System that is able to determine the level of community satisfaction with the performance of the services provided. Measurement using the IPA method, obtained performance that must be improved or reduced based on its quadrant mapping with 25 attributes, which are divided into 4 quadrants, namely quadrant I (main priority) 8attributes, quadrant II (maintain achievement) 3 attributes, quadrant III (low priority) 3 attributes, and quadrant IV (excessive) 11 attributes.

Decision Support System For The Determination Of Field Work Practice Results In Students Using The Moora Method (Case Study : Pt. Telekomunikasi Binjai) Novriansyah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 1 (2022): October 2022
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v2i1.113

PT. Telekomunikasi Indonesia Binjai Branch is an information and communication company as well as a complete telecommunications service and network provider in Indonesia. Acceptance of students to carry out Field Work Practices (PKL) is one of the important goals for companies to introduce the world of telecommunications in Binjai City. Street vendors are student activities directly in professional work activities at an institution, company or institution within a certain period of time in accordance with the curriculum. And to overcome these problems we need a method that can predict the number of new installations. After carrying out the Field Work Practice (PKL) in the company, students are entitled to get the results of the activities that have been carried out during the PKL. The number of students who carry out PKL in the company makes it difficult for office employees to provide PKL results from each of the existing students. Based on the results of research that has been done at PT. Telekomunikasi Indonesia Binjai Branch, the process of assigning value to the results of street vendors activities is done manually. In this study a Decision Support System (DSS) will be built using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method which is a method that has a calculation with a minimum and very simple calculation. The system is designed with the PHP programming language and MySQL database, after processing the 15 inputted data, it is found that A15 (Wiratana Sanjaya) is in the first rank. With these results it was also concluded that A15 became a student with the best Field Work Practice results at PT. Telekomunikasi Indonesia Binjai Branch.

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Akim Manaor Hara Pardede

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jaiea@ioinformatic.org

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+6281370747777

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jaiea@ioinformatic.org

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

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INDONESIA

Abstract

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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

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