Journal of Artificial Intelligence and Engineering Applications (JAIEA)
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.
Articles
12 Documents
Search results for
, issue
"Vol. 1 No. 2 (2022): February 2022"
:
12 Documents
clear
<![CDATA[PREDICTION OF PRODUCT SALES RESULTS USING ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) ]]>
<![CDATA[Dolli Sari Sinaga]]>;
<![CDATA[Agus Perdana Windarto]]>;
<![CDATA[Rizki Alfadillah Nasution]]>;
<![CDATA[Irfan Sudahri Damanik]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1579.262 KB)
|
DOI: 10.53842/jaiea.v1i2.73
<![CDATA[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.]]>
<![CDATA[Implementation of the K-Means Method in Grouping Merchandise Locations at the Market Service ]]>
<![CDATA[syawaludin pohan]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (977.613 KB)
|
DOI: 10.53842/jaiea.v1i2.74
<![CDATA[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]]>
<![CDATA[Application Of Sugeno's Fuzzy Inference System In Determining Inventory Goat Milk ]]>
<![CDATA[Windah Sahara]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (583.085 KB)
|
DOI: 10.53842/jaiea.v1i2.75
<![CDATA[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.]]>
<![CDATA[Expert System Diagnosing Damage to Canon Ir5000 Copier With Forward Chaining Method ]]>
<![CDATA[mega indriani]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (840.557 KB)
|
DOI: 10.53842/jaiea.v1i2.76
<![CDATA[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.]]>
<![CDATA[APPLICATION OF DATA MINING IN DETERMINING SOCIAL ASSISTANCE RECIPIENTS WITH C4.5 ALGORITHM ]]>
<![CDATA[Rika Nur Adiha]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (828.987 KB)
|
DOI: 10.53842/jaiea.v1i2.77
<![CDATA[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.]]>
<![CDATA[Grouping Medical Record Data By Type Diseases With K-Means Algorithm ]]>
<![CDATA[Remonaldi Purba]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (450.276 KB)
|
DOI: 10.53842/jaiea.v1i2.78
<![CDATA[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.]]>
<![CDATA[IMPLEMENTATION OF FUZZY LOGIC USING SUGENO METHOD OF SCHOLARSHIP DETERMINATION ]]>
<![CDATA[Boy Alberto Sitanggang Boy]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (594.718 KB)
|
DOI: 10.53842/jaiea.v1i2.79
<![CDATA[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.]]>
<![CDATA[Application Of Sugeno Fuzzy Logic In The Determination Of Employee Incentives ]]>
<![CDATA[Fernandez Erik Napitu]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1275.526 KB)
|
DOI: 10.53842/jaiea.v1i2.80
<![CDATA[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]]>
<![CDATA[Comparison Of AHP And Topsis Methods In Determining Scholarships For Elementary School Students ]]>
<![CDATA[Efansius Tarigan]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (389.995 KB)
|
DOI: 10.53842/jaiea.v1i2.82
<![CDATA[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.]]>
<![CDATA[Optimization of Higher Education Internal Quality Audits Based on Artificial Intelligence ]]>
<![CDATA[Relita Buaton]]>;
<![CDATA[Zarlis Muhammad]]>;
<![CDATA[Elviwani]]>;
<![CDATA[Ami Dilham]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 2 (2022): February 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (404.155 KB)
|
DOI: 10.53842/jaiea.v1i2.83
<![CDATA[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]]>
