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Learning motivation and student achievement : description analysis and relationships both Ari Riswanto; Sri Aryani
COUNS-EDU: The International Journal of Counseling and Education Vol 2, No 1 (2017)
Publisher : Indonesian Counselor Association (IKI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (535.997 KB) | DOI: 10.23916/002017026010

Abstract

Education is very important for humans, through the education throughout the world will increasingly flourish. However, if faced with the activities within the learning process, not a few men (students) who have less motivation in learning activities. This resulted in fewer maximal learning processes and in turn will affect student achievement. This study focuses to discuss matters relating to the motivation to learn and student achievement, with the aim of strengthening the importance of motivation in the learning process so that a clear relationship with student achievement. The method used is descriptive analysis and simple correlation to the 97 students taking the course introduction to Microeconomics and Indonesian. The conclusion from this research is the students have a good record if it has a well and motivated as well, and this study concludes their tie's difference between learning motivation and achievement of students on two different courses.
Analysis and Design of Data Warehouse at Bank M Agus Anwar; Danan Pradipta; Sri Aryani
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Banking has a very strategic role in supporting therunning of the economy and national development considering itsfunction as an intermediary institution, payment transactionorganizer, and monetary policy transmission tool. The bankingindustry, data warehouse is something that is very importantexistence, because with this data warehouse, performanceanalysis of a bank will be much easier to do. The HOLAP methodof data warehouse banking processing can present the desiredinformation quickly. With the support of data warehouses,corporate leaders can be more helpful in making decisions fasterand more precise.
Analysis of Apriori Algorithm on Sales Transactions to Arrange Placement of Goods on Minimarket Putu Bagus Indra Sukadiana Putra; Ni Putu Sri Merta Suryani; Sri Aryani
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

In the business world, business development is a veryimportant factor to be reckoned with. This is done in order toalways survive in the competitive world of business. Improvingproduct quality, adding product types and reducing the company'soperating costs are some things that can be done in order tosurvive in the competition. The thing that can be done to meetthose needs is to perform sales transaction data analysis usingData Mining. One of the Algorithms that belongs to an associationin Data Mining that matches is the Apriori Algorithm. A priorialgorithm aims to find frequent item sets in a set of data. A priorialgorithm defined a process to find a priori rules that meetminimum requirements for support and minimum requirementsfor confidence. This research seeks to develop a business strategyof placement of groceries that is adjusted to the consumerconsumption pattern in minimarket. Thus, the arrangement ofmerchandise can be adjusted with the rules of association to fit thepattern of consumer consumption.