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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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Analysis of Decreased Public Awareness in the Application of Health Protocols with the C4.5 . Algorithm Retno Arfika; M. Safii
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

The purpose of this study is to determine the dominant factors that affect the decline in public awarenesson the application of health protocols using the C4.5 Algorithm. Sources of data used in this study obtained by conducting observations and interviews. The variables used include (1) Employment, (2) Environment, (3) Sanctions and (4) Concern. The research test process uses RapidMiner software to create a decision tree. The results obtained 6 rules with 4 rules decreasing status and 2 rules increasing status. The level of accuracy obtained is 100%. The results of this study are expected to be input for the surrounding community to better understand the importance of implementing health protocols at this time, so that they can help the Government to succeed in the health protocol awareness program in inhibiting the spread of Covid-19 in Indonesia.

Application of The Fuzzy Tsukamoto Method in Determining Household Industry Products Nadra Savira Pasaribu; Jata Tata Hardinata; Hendry Qurniawan
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

Production system at UD. Mie Akwang is a home industry that provides raw materials for noodle production. Uncertain consumer demand and supplies that are not in accordance with demand make it difficult for this industry to determine the amount of production that will be produced. Previously, this home industry did not have a valid rule to determine the amount of production that must be achieved. Therefore, a decision support system was developed using the Fuzzy Tsukamoto method. This method is the right method in making decisions that use several criteria to produce decisions on the amount of production. In this study, the data used is in the form of data on the amount of production in April 2021. From the calculation process that has been carried out, it can be concluded that if the demand is 28,950 portions and the supply is 30,000 portions, the total production produced is 31,207 portions. The results of these calculations are implemented in the form of a production system and the results obtained are the same, namely 31,207 portions.

K-MEDOIDS ALGORITHM ANALYSIS IN PERMANENT WORKER GROUPING OF INDONESIAN CONSTRUCTION COMPANIES Sonia Tarigan; Harly Okprana; Ilham Syahputra Saragih
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

The construction companies are both those who run the construction work, both construction administrators and construction consultants who need the manpower for their operations. There is no way to determine the existence of a policy of the workers who have a work agreement with the business owner for a period of time. The company's long-term rating of construction workers in Indonesia from 2010-2018 is based on the need to provide information and input to the local government center at the construction site in Indonesia. One of the grouping methods that can be used is k - Medoids. The advantage of this method is to overcome sensitive to outlier. This method in its horn is represented by objects close to the center and thus capable of sterilizing a more precise value. Analysis of the data grouping shows that two cluster data produced one in the low and 33 in high cluster with total cost of 2.7557.

Application of K-Means Algorithm in Grouping Households Accessing the Internet by Province Zahra Syahara; Saifullah; Jalaluddin
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

The study aims to group households that access the Internet according to the province. As for the data source in this study was made from BPS (the statistical center body) and the data used in the study was in 2017 to 2019 isolated from 34 provinces in Indonesia. The method of artificially synthesizing the research is using a k-means algorithm. According to the data, groups of households that access the Internet according to the provinces are grouped into 2 clusters of high clusters (c1) and low cluster (c2). It is hoped that this study will provide more attention to the government for the provinces that have low Internet access, It could also lead to programs that would seek to improve people's access to the Internet via e-government, telencenter, smart villages, or smart city, and indonesian-to pursue their relationship with more advanced Internet countries such as Europe and America

PREDICTION OF PRODUCT SALES RESULTS USING ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) Dolli Sari Sinaga; Agus Perdana Windarto; Rizki Alfadillah Nasution; Irfan Sudahri Damanik
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

This study aims to optimize profits and minimize losses from product sales at X Market has achieved in the future. The data used in this study were obtained directly from X Market Trade by observing and interviewing. X Market Tradingis one of the industries that produces and sells food products to be marketed in the region and outside the region. The data to be processed is the result of the sale of food products at X Market uses the adaptive neuro fuzzy inference system (ANFIS) method which is a combination of Fuzzy Logic and Artificial Neural Networks. The data used is monthly sales data from 2018 to 2020 as many as 36 data. From a total of 36 data, it will be divided into 2 types of training and test data distribution, namely 90:10 with a total of 60 epochs and a learning rate range of 0.1 – 0.9. From the research results obtained the highest accuracy of 88.55% on 90% training data and 10% test data with a learning rate of 0.6. It was concluded that the ANFIS method could be implemented in predicting the sales of tofu. By doing this research is expected to provide input to X Market in optimizing profits and minimizing losses from product sales in the future.

Implementation of the K-Means Method in Grouping Merchandise Locations at the Market Service syawaludin pohan
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

One of the strategies to increase sales in traditional markets is the strategy of placing the selling location. This is done so that the products marketed are in accordance with the type so that consumers will feel comfortable with the ease of shopping. In this study, observations were made on the traditional market of Horas market in the market service area of Pematangsiantar City. At this time the arrangement of selling locations has not been well organized so that there is little interest in the community to shop. This of course will affect the economic turnover of traders. These problems still occur today and there is no solution because market managers do not have a model that can be simulated. One of the computer science approaches to this problem is the K-Means algorithm data mining so that it is hoped that this research can help the market department in classifying merchandise locations in order to attract people's interest to shop at traditional markets so that there is an increase in the community's economy

Application Of Sugeno's Fuzzy Inference System In Determining Inventory Goat Milk Windah Sahara
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

Goat milk is one of the milk that is traded by the community because this milk has many benefits that are good for the health of the body and prevent bone damage in old age. Thalebkawnhinca Farm is a business that trades goat's milk both per liter and per pack. The erratic supply of goat's milk causes consumer demand cannot be fulfilled and the milk sales process becomes hampered. Therefore, this study aims to apply fuzzy logic with the Sugeno method in determining the amount of goat milk supply at Thalebkawanhinca Farm based on data on demand and sales of milk in April 2021. Based on data on demand and sales of goat's milk, the amount of milk supply that must be added if known demand of 90 liters and sales of 75 liters amounted to 25.1953125 liters. The result of this research is the implementation of a milk supply system that can be used in determining and providing information on the amount of goat's milk supply to the owner of the Thalebkawanhinca Farm.

Expert System Diagnosing Damage to Canon Ir5000 Copier With Forward Chaining Method mega indriani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

A photocopy machine is a machine that works mechanically to fulfill the function of copying one document on a machine into another paper in black-and-white copies. During the copying process, various defects often occur, so a technician is needed to repair it. While waiting for the arrival of a technician to repair a damaged machine, it takes some time. Therefore, we need a strategy that can quickly find out the type of photocopier damage and how to handle it to help repair the damage to the photocopier. with the transfer of expertise by experts to be transferred again to other people who are not yet experts is the main goal of the system. In the process of drawing conclusions the system uses the Forward Chaining algorithm where the system will display symptoms of photocopy machine damage to be selected by the user, which can finally determine the solution to the damage to the machine. The results obtained from making this application are easier to obtain by making an expert system to diagnose photocopier damage and can be used and studied easily by the general public. for handling the problem of damage to the Canon IR 5000 photocopier using the Sublime Text Application as supporting software in terms of designing the layout of the application design, using the MySQL Database as a database design place and XAMPP v3.2.1 to run the database server and php.

APPLICATION OF DATA MINING IN DETERMINING SOCIAL ASSISTANCE RECIPIENTS WITH C4.5 ALGORITHM Rika Nur Adiha
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

The Gunung Maligas District Office is a government agency tasked with running a government program, namely the Social Assistance Receipt program, to run the social assistance program, many residents complain that they do not receive assistance, while some residents who are considered capable actually get assistance, where each aid program is have different criteria in determining the recipient. Due to the large number of existing aid programs with different criteria in determining the acceptance of the aid program, of course, local government staff will have difficulty in conducting the selection process. So we need a system that is able to help local government staff to more easily determine the recipients of the social assistance. Based on the historical data of beneficiaries, recommendations for the classification of beneficiaries can be made that will assist government staff. Classification can be done using the C4.5 algorithm. In this study, it has parameters, namely, occupation, income, housing conditions and number of dependents. By applying the C4.5 data mining algorithm, it is hoped that it will make it easier and faster for government staff to determine the recipients of social assistance at the Gunung Maligas District Office.

Grouping Medical Record Data By Type Diseases With K-Means Algorithm Remonaldi Purba
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022
Publisher : Yayasan Kita Menulis

Health is a very valuable thing for human life, because anyone can be affected by health problems without realizing what causes it. People who pay less attention to their health are more likely to get sick. Lack of awareness in protecting and preserving the environment will lead to the rapid spread of disease. Efforts in disease prevention are needed by increasing public awareness about the importance of clean and healthy living behavior. In the application of the k-means algorithm for data processing in finding medical record files in the form of notes and documents about patient identity, examination, treatment, and other service actions given to patients. Clustering is a data analysis method that performs the modeling process without supervision (unsupervised) is also a method that performs data grouping with a partition system. The result is grouping using K-Means Clustering which can help in grouping by type of disease and age, the results are divided into children and toddlers, young and adults, old and elderly.

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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