Process Mining to Improve the Development of the Course Syllabus
| Main Author: | Wisudiawan, Gede Agung Ary |
|---|---|
| Format: | Article info application/pdf Journal |
| Bahasa: | eng |
| Terbitan: |
Samā Jiva Jnānam (International Journal of Social Studies)
, 2024
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| Subjects: | |
| Online Access: |
https://ojs.uhnsugriwa.ac.id/index.php/ijoss/article/view/3282 https://ojs.uhnsugriwa.ac.id/index.php/ijoss/article/view/3282/2047 |
| ctrlnum |
article-3282 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Process Mining to Improve the Development of the Course Syllabus</title><creator>Wisudiawan, Gede Agung Ary</creator><subject lang="en-US">course syllabus, heuristic miner, process mining, learning management system, process modelling</subject><description lang="en-US">This paper focused on how to improve the development of course syllabus using process mining. Course syllabus developers need more input when making improvements. In this paper, the improvement of course syllabus development is based on enriching the input process of course syllabus development. The input based on the facts from student activities when student use LMS. LMS has an event log that keeps logs of student activities while using the LMS. The event log will be mined using a process mining, the algorithm used in this process mining is heuristic algorithm. Process mining is proven to be able to enrich the input in the development of course syllabus. The first finding is that there are two topics that are carried out simultaneously. The topic is the topic 7th and 8th as well as the 12th and 13th. The second finding is that there are jumping week that can be seen at the 2nd topic, directly to the 6th topic and at the 9th topic, continued to the 11th topic. These findings can be used to enrich input during development of the course syllabus. Regarding the evaluation of the model process from student learning activities, database modeling for one semester at the LMS that was formed is as follows: the fitness value is 99%, the generalization value is 99%, and the precision value is 45%.</description><publisher lang="en-US">Samā Jiva Jnānam (International Journal of Social Studies)</publisher><date>2024-01-04</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>https://ojs.uhnsugriwa.ac.id/index.php/ijoss/article/view/3282</identifier><source lang="en-US">Samā Jiva Jnānam (International Journal of Social Studies); Vol. 1 No. 2 (2023): Volume 1 No. 2 2023; 59-72</source><language>eng</language><relation>https://ojs.uhnsugriwa.ac.id/index.php/ijoss/article/view/3282/2047</relation><rights lang="en-US">Copyright (c) 2023 Samā Jiva Jnānam (International Journal of Social Studies)</rights><recordID>article-3282</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other File:application/pdf File Journal:Journal |
| author |
Wisudiawan, Gede Agung Ary |
| title |
Process Mining to Improve the Development of the Course Syllabus |
| publisher |
Samā Jiva Jnānam (International Journal of Social Studies) |
| publishDate |
2024 |
| topic |
course syllabus heuristic miner process mining learning management system process modelling |
| url |
https://ojs.uhnsugriwa.ac.id/index.php/ijoss/article/view/3282 https://ojs.uhnsugriwa.ac.id/index.php/ijoss/article/view/3282/2047 |
| contents |
This paper focused on how to improve the development of course syllabus using process mining. Course syllabus developers need more input when making improvements. In this paper, the improvement of course syllabus development is based on enriching the input process of course syllabus development. The input based on the facts from student activities when student use LMS. LMS has an event log that keeps logs of student activities while using the LMS. The event log will be mined using a process mining, the algorithm used in this process mining is heuristic algorithm. Process mining is proven to be able to enrich the input in the development of course syllabus. The first finding is that there are two topics that are carried out simultaneously. The topic is the topic 7th and 8th as well as the 12th and 13th. The second finding is that there are jumping week that can be seen at the 2nd topic, directly to the 6th topic and at the 9th topic, continued to the 11th topic. These findings can be used to enrich input during development of the course syllabus. Regarding the evaluation of the model process from student learning activities, database modeling for one semester at the LMS that was formed is as follows: the fitness value is 99%, the generalization value is 99%, and the precision value is 45%. |
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Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar |
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10309 |
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Perpustakaan Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar |
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Tourism Culture Communication Studies |
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KOTA DENPASAR |
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BALI |
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