Istiono, Wirawan (2020) Education Games To Learn Basic Algorithm With Near Isometric Projection Method Unit. International Journal of Advanced Studies in Computer Science and Engineering, 8 (7). ISSN 2278 7917
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Isometric Projection Method.pdf Restricted to Registered users only Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (422kB) |
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PEER 1 FORM PENGISIAN JURNAL WIRAWAN ijascse 2019.pdf Restricted to Registered users only Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (454kB) |
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Abstract
Basic programming and algorithm learning is one of the compulsory subjects required for students majoring in computers. As this lesson is knowledge base, it is very important and essential that before learn programmings languages students must be encourages to learn it to avoid difficulties that by using the algorithm learning games application with Near Isometric Projection, Students or prospective students become more interested in learning algorithms and programming. In this study, basic learning algorithms focused on the material Sequencing, Overloading, Procedures, Recursive Loops and Conditionals, which are made so that it can make it easier for students to learn the basics of programming algorithms. The simulated results show that proposed Education Games with Near Isometric Projection method reach 83.87% statement of agreement that application games to learn basic programming algorithms were interesting and helped them to understand basic algorithm after testing using UAT. Testing with User Acceptance Test for 30 students of Multimedia Nusantara University.
Item Type: | Article |
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Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming > 005.2 Programming for Specific Computers, Algorithm, HTML, PHP, java, C++ |
Divisions: | Faculty of Engineering & Informatics > Informatics |
Depositing User: | Administrator UMN Library |
Date Deposited: | 11 Aug 2020 12:59 |
Last Modified: | 29 May 2023 08:10 |
URI: | https://kc.umn.ac.id/id/eprint/12718 |
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