The Design of Exploratory Application and Preprocessing of Event Log Data in LMS Moodle-Based Online Learning Activities for Process Mining
Process Mining is one of the sub-studies of Data Mining that focuses on the events of a system. An area that benefits from process mining is education, especially online learning. This study used Moodle as a platform to provide online event activity log data in online learning. Moodle-based process...
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| Główni autorzy: | , |
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| Format: | UMS Journal (OJS) |
| Język: | eng |
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Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://journals.ums.ac.id/index.php/khif/article/view/8023 |
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| _version_ | 1805342478544404480 |
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| author | Aulia, Demaspira Waspada, Indra |
| author_facet | Aulia, Demaspira Waspada, Indra |
| author_sort | Aulia, Demaspira |
| collection | OJS |
| description | Process Mining is one of the sub-studies of Data Mining that focuses on the events of a system. An area that benefits from process mining is education, especially online learning. This study used Moodle as a platform to provide online event activity log data in online learning. Moodle-based process mining requires several stages that are not easily understood directly by teachers. As a solution, some efforts are needed to integrate Moodle with process mining. This study built an application that could contribute to the Preprocessing and Exploratory Data Analysis (EDA) stages of Moodle event log data – as an important part of the process mining stage. Preprocessing was implemented by using the simple heuristic filtering method, while EDA was employed through visualization using flow control and dotted charts. Eventually, the application built in this study successfully performed preprocessing in Moodle event log data and could display the results visually, as a tool of control flow analysis and dotted chart analysis. |
| format | UMS Journal (OJS) |
| id | oai:ojs2.journals.ums.ac.id:article-8023 |
| institution | Universitas Muhammadiyah Surakarta |
| language | eng |
| publishDate | 2019 |
| publisher | Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia |
| record_format | ojs |
| spelling | oai:ojs2.journals.ums.ac.id:article-8023 The Design of Exploratory Application and Preprocessing of Event Log Data in LMS Moodle-Based Online Learning Activities for Process Mining Aulia, Demaspira Waspada, Indra exploratory data analysis; Moodle; process mining Process Mining is one of the sub-studies of Data Mining that focuses on the events of a system. An area that benefits from process mining is education, especially online learning. This study used Moodle as a platform to provide online event activity log data in online learning. Moodle-based process mining requires several stages that are not easily understood directly by teachers. As a solution, some efforts are needed to integrate Moodle with process mining. This study built an application that could contribute to the Preprocessing and Exploratory Data Analysis (EDA) stages of Moodle event log data – as an important part of the process mining stage. Preprocessing was implemented by using the simple heuristic filtering method, while EDA was employed through visualization using flow control and dotted charts. Eventually, the application built in this study successfully performed preprocessing in Moodle event log data and could display the results visually, as a tool of control flow analysis and dotted chart analysis. Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2019-12-29 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journals.ums.ac.id/index.php/khif/article/view/8023 10.23917/khif.v5i2.8023 Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika; Vol. 5 No. 2 December 2019; 124-133 Khazanah Informatika; Vol. 5 No. 2 December 2019; 124-133 2477-698X 2621-038X eng https://journals.ums.ac.id/index.php/khif/article/view/8023/5217 Copyright (c) 2019 Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | exploratory data analysis; Moodle; process mining Aulia, Demaspira Waspada, Indra The Design of Exploratory Application and Preprocessing of Event Log Data in LMS Moodle-Based Online Learning Activities for Process Mining |
| title | The Design of Exploratory Application and Preprocessing of Event Log Data in LMS Moodle-Based Online Learning Activities for Process Mining |
| title_full | The Design of Exploratory Application and Preprocessing of Event Log Data in LMS Moodle-Based Online Learning Activities for Process Mining |
| title_fullStr | The Design of Exploratory Application and Preprocessing of Event Log Data in LMS Moodle-Based Online Learning Activities for Process Mining |
| title_full_unstemmed | The Design of Exploratory Application and Preprocessing of Event Log Data in LMS Moodle-Based Online Learning Activities for Process Mining |
| title_short | The Design of Exploratory Application and Preprocessing of Event Log Data in LMS Moodle-Based Online Learning Activities for Process Mining |
| title_sort | design of exploratory application and preprocessing of event log data in lms moodle based online learning activities for process mining |
| topic | exploratory data analysis; Moodle; process mining |
| topic_facet | exploratory data analysis; Moodle; process mining |
| url | https://journals.ums.ac.id/index.php/khif/article/view/8023 |
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