Journal of Artificial Intelligence and Engineering Applications (JAIEA)最新文献_第9页

Application Of K-Means Algorithm In Grouping Productive Seed Distribution Data In BPDASHL Asahan Barumun K-Means算法在BPDASHL生产种子分布数据分组中的应用

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-06-15 DOI: 10.59934/jaiea.v1i3.91

Dina Patresia Samuana Manurung, Muhammad Ridwan Lubis, Ika Okta Kirana, Dedy Hartama, D. Suhendro

{"title":"Application Of K-Means Algorithm In Grouping Productive Seed Distribution Data In BPDASHL Asahan Barumun","authors":"Dina Patresia Samuana Manurung, Muhammad Ridwan Lubis, Ika Okta Kirana, Dedy Hartama, D. Suhendro","doi":"10.59934/jaiea.v1i3.91","DOIUrl":"https://doi.org/10.59934/jaiea.v1i3.91","url":null,"abstract":"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.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128784211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application Of The C4.5 Algorithm To Determining Student's Level Of Understanding C4.5算法在确定学生理解水平中的应用

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-10 DOI: 10.59934/jaiea.v1i2.84

Adeita A. Ndraha, Jaya Tata Hardinata, Y. Purba

{"title":"Application Of The C4.5 Algorithm To Determining Student's Level Of Understanding","authors":"Adeita A. Ndraha, Jaya Tata Hardinata, Y. Purba","doi":"10.59934/jaiea.v1i2.84","DOIUrl":"https://doi.org/10.59934/jaiea.v1i2.84","url":null,"abstract":"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.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123829802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis Of Multiple Regression Data Mining Methods On The Prediction Of Ibtidaiyah School Registration 多元回归数据挖掘方法在Ibtidaiyah学校注册预测中的应用分析

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-10 DOI: 10.59934/jaiea.v1i3.92

Fica Oktavia Lusiana

{"title":"Analysis Of Multiple Regression Data Mining Methods On The Prediction Of Ibtidaiyah School Registration","authors":"Fica Oktavia Lusiana","doi":"10.59934/jaiea.v1i3.92","DOIUrl":"https://doi.org/10.59934/jaiea.v1i3.92","url":null,"abstract":"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.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"10 22 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128526188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction Of Customers at Bank Rakyat Indonesia Using Backpropagation Algorithm 利用反向传播算法预测印尼人民银行客户

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-10 DOI: 10.59934/jaiea.v1i3.95

P. Nugroho, Muhammad Ridwan Lubis, A. Windarto, Ilham Syahputra

引用次数: 0

Implementation Of The K-Means Method In Grouping Districts And Cities In North Sumatra On Social Welfare Problems k -均值法在北苏门答腊地区和城市分组中的应用——社会福利问题研究

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-10 DOI: 10.59934/jaiea.v1i2.86

Edisman Rahul, Gonjales Siahaan, Y. Purba, Wendi Robiansyah

{"title":"Implementation Of The K-Means Method In Grouping Districts And Cities In North Sumatra On Social Welfare Problems","authors":"Edisman Rahul, Gonjales Siahaan, Y. Purba, Wendi Robiansyah","doi":"10.59934/jaiea.v1i2.86","DOIUrl":"https://doi.org/10.59934/jaiea.v1i2.86","url":null,"abstract":"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","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115769359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Student Satisfaction Level Analysis Of Online Learning During Pandemic Covid 19 Using C5.0 Algorithm 基于C5.0算法的2019冠状病毒病疫情期间学生在线学习满意度分析

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-10 DOI: 10.59934/jaiea.v1i3.90

James Hasudungan Sihombing

引用次数: 0

Comparison Of AHP And Topsis Methods In Determining Scholarships For Elementary School Students 层次分析法与Topsis法在确定小学生奖学金中的比较

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.82

Efansius Tarigan

引用次数: 0

Implementation of the K-Means Method in Grouping Merchandise Locations at the Market Service k -均值方法在市场服务中对商品位置进行分组的实现

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.74

Syawaludin Pohan

引用次数: 0

Optimization of Higher Education Internal Quality Audits Based on Artificial Intelligence 基于人工智能的高等教育内部质量审计优化

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.83

Relita Buaton, Zarlis Muhammad, Elviwani, Ami Dilham

{"title":"Optimization of Higher Education Internal Quality Audits Based on Artificial Intelligence","authors":"Relita Buaton, Zarlis Muhammad, Elviwani, Ami Dilham","doi":"10.59934/jaiea.v1i2.83","DOIUrl":"https://doi.org/10.59934/jaiea.v1i2.83","url":null,"abstract":"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","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132229980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

APPLICATION OF DATA MINING IN DETERMINING SOCIAL ASSISTANCE RECIPIENTS WITH C4.5 ALGORITHM 数据挖掘在c4.5算法确定社会救助受助人中的应用

Journal of Artificial Intelligence and Engineering Applications (JAIEA) Pub Date : 2022-02-09 DOI: 10.59934/jaiea.v1i2.77

Rika Nur Adiha, Sundari Retno, Andani, Widodo Saputra

{"title":"APPLICATION OF DATA MINING IN DETERMINING SOCIAL ASSISTANCE RECIPIENTS WITH C4.5 ALGORITHM","authors":"Rika Nur Adiha, Sundari Retno, Andani, Widodo Saputra","doi":"10.59934/jaiea.v1i2.77","DOIUrl":"https://doi.org/10.59934/jaiea.v1i2.77","url":null,"abstract":"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.","PeriodicalId":320979,"journal":{"name":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130095758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0