Specification for representation of elements of data in interchanges using data processing systems.

2015 ◽  
Keyword(s):  
Data Processing ◽  
Using Data

scholarly journals The Effect of the Use of Canva Application Learning Media on the Creativity of Students in Language Studio Extracurricular Activities at SMPN 1 Tanjung Emas

2021 ◽  
Vol 9 (4) ◽  
pp. 506
Author(s):  
Deni Putri Sartika ◽  
Vevi Sunarti
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Experimental Method ◽  
Extracurricular Activities ◽  
School Principals ◽  
Paired Sample ◽  
Significant Difference ◽  
Quasi Experimental ◽  
Using Data ◽  
Efficient Learning

This research is motivated by the low creativity of students in language studio extracurricular activities at SMPN 1 Tanjung Emas. This condition is thought to be due to factors that influence the low creativity of students, one of the factors that is thought to greatly influence is the use of learning media that is less effective and efficient. This study aims to see the creativity of students through the use of Canva application learning media in language studio extracurricular activities at SMPN 1 Tanjung Emas. This type of research is using a quantitative approach to the quasi-experimental method (Quasi Experiment). The population in this study were students in the language studio extracurricular activities at SMPN 1 Tanjung Emas as many as 25 students, all of whom became the research sample. By using data analysis using the test formula paired sample t-test. From the data processing, it can be concluded that there is a significant difference between the creativity of students before being given an action (pretest) and after being given an action (posttest) using the Canva application learning media in the language studio extracurricular activities at SMPN 1 Tanjung Emas. Suggestions and results of this research are for educators to be able to further increase the creativity of students in using the Canva application learning media and for school principals at SMPN 1 Tanjung Emas as leaders at the school so that they can further increase the availability of facilities and infrastructure, especially effective and efficient learning media. as well as to support the creativity of students

scholarly journals Goods Stock Management using the K-Means Algorithm Method

2020 ◽  
Vol 10 (1) ◽  
pp. 22-45
Author(s):  
Dhio Saputra
Keyword(s):  
Data Mining ◽  
Data Processing ◽  
Test Results ◽  
Stock Management ◽  
Clustering Method ◽  
Sales Data ◽  
Using Data ◽  
Cluster 2

The grouping of Mazaya products at PT. Bougenville Anugrah can still do manuals in calculating purchases, sales and product inventories. Requires time and data. For this reason, a research is needed to optimize the inventory of Mazaya goods by computerization. The method used in this research is K-Means Clustering on sales data of Mazaya products. The data processed is the purchase, sales and remaining inventory of Mazaya products in March to July 2019 totaling 40 pieces. Data is grouped into 3 clusters, namely cluster 0 for non-selling criteria, cluster 1 for best-selling criteria and cluster 2 for very best-selling criteria. The test results obtained are cluster 0 with 13 data, cluster 1 with 25 data and cluster 2 with 2 data. So to optimize inventory is to multiply goods in cluster 2, so as to save costs for management of Mazayaproducts that are not available. K-Means clustering method can be used for data processing using data mining in grouping data according to criteria.

scholarly journals Analyzing temporal patterns of topic diversity using graph clustering

2020 ◽  
Author(s):  
Takako Hashimoto ◽  
David Lawrence Shepard ◽  
Tetsuji Kuboyama ◽  
Kilho Shin ◽  
Ryota Kobayashi ◽  
...  
Keyword(s):  
Social Media ◽  
Data Processing ◽  
Temporal Patterns ◽  
Graph Clustering ◽  
Disaster Mitigation ◽  
Great Earthquake ◽  
Using Data ◽  
Text Content ◽  
Do So

Abstract During a disaster, social media can be both a source of help and of danger: Social media has a potential to diffuse rumors, and officials involved in disaster mitigation must react quickly to the spread of rumor on social media. In this paper, we investigate how topic diversity (i.e., homogeneity of opinions in a topic) depends on the truthfulness of a topic (whether it is a rumor or a non-rumor) and how the topic diversity changes in time after a disaster. To do so, we develop a method for quantifying the topic diversity of the tweet data based on text content. The proposed method is based on clustering a tweet graph using Data polishing that automatically determines the number of subtopics. We perform a case study of tweets posted after the East Japan Great Earthquake on March 11, 2011. We find that rumor topics exhibit more homogeneity of opinions in a topic during diffusion than non-rumor topics. Furthermore, we evaluate the performance of our method and demonstrate its improvement on the runtime for data processing over existing methods.

scholarly journals Analysis of sales levels of pharmaceutical products by using data mining algorithm C45

2021 ◽  
Vol 22 (1) ◽  
pp. 476
Author(s):  
Rini Sovia ◽  
Abulwafa Muhammad ◽  
Syafri Arlis ◽  
Guslendra Guslendra ◽  
Sarjon Defit
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Data Processing ◽  
Medicinal Product ◽  
Pharmaceutical Products ◽  
Data Mining Algorithm ◽  
Sales Data ◽  
Great Demand ◽  
Mining Algorithm ◽  
Using Data

<p>This research was conducted to analyze the level of sales of pharmaceutical products at a Pharmacy. This is done to find out the types of products that have high and low sales levels. This study uses the C45 Data Mining Algorithm concept that will produce a conclusion on the prediction of sales of pharmaceutical products through data processing obtained from sales transactions at pharmacies. This C45 algorithm will form a decision tree that provides users with knowledge about products that are in great demand by consumers based on sales data and predetermined variables. The final result of the C45 algorithm produces a number of rules that can identify the inheritance of a type of medicinal product. C45 algorithm is able to produce 20 types of categories that will be labeled goals based on the number of pharmaceutical products, since it can be concluded that C45 successfully defines 55% of the existing objective categories.</p>

scholarly journals Impact of Work From Home Policy on Behavior and Productivity of Lecturers and Education Staff

2021 ◽  
Vol 4 (1) ◽  
pp. 32-40
Author(s):  
Afni Sirait ◽  
Sri Luna Murdianingrum
Keyword(s):  
Data Processing ◽  
Quantitative Methods ◽  
National Development ◽  
P Value ◽  
Path Coefficient ◽  
Model Structure ◽  
Work From Home ◽  
Policy Work ◽  
Using Data ◽  
Indirect Relationship

Policy Work From Home (WFH ) is enforce within the FEB UPN "Veteran" Yogyakarta is one manifestation of breaking the chain of the COVID-19 virus. This research purpose is to identify the influence of WFH on the behavior and productivity of lecturers and education staff during this policy. This research is something new in education. The productivity assessment of the implementation of this policy has never be analyzed. This study uses quantitative methods with the number of respondents 96 respondents. The data was collected using a questionnaire, then tested the validity, reliability, and evaluation of the model structure using data analysis tools SmartPLS 3.0.0. The results of data processing explained that there was no relationship between WFH and technology-mediated behavior (P-Value = 0.297; T-Statistic = 1.043). A different yield of WFH data processing with productivity. It was found positive and significant influence but mediated partially competitive by technology. The path coefficient value of the direct relationship between WFH and productivity is 0.206 (P-Value 0.034; T-Statistic = 2.132) that the indirect relationship between WFH and productivity is mediating by the technology of 0.353. The limitation of this research is that it is only carried out in the FEB environment, not yet in a comprehensive manner at the “Veteran” National Development University, Yogyakarta.

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