Classification of Metacognitive into Two Catagories to Support the Learning Process
Abstract: Learning outcomes are the patterns of actions, values, understanding, attitudes, appreciation and skills. Learning outcomes are related to the metacognitive of student where the elements contained in metacognitive is cognitive. The relationship between cognitive and metacognitive which is...
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Negeri Malang
2017-03-01
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| Series: | Jurnal Pendidikan Sains |
| Subjects: | |
| Online Access: | http://journal.um.ac.id/index.php/jps/article/view/9069 |
| _version_ | 1828445826100232192 |
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| author | Husnul Rahmawati Sakinnah Adhistya Erna Permanasari Indah Soesanti |
| author_facet | Husnul Rahmawati Sakinnah Adhistya Erna Permanasari Indah Soesanti |
| author_sort | Husnul Rahmawati Sakinnah |
| collection | DOAJ |
| description | Abstract: Learning outcomes are the patterns of actions, values, understanding, attitudes, appreciation and skills. Learning outcomes are related to the metacognitive of student where the elements contained in metacognitive is cognitive. The relationship between cognitive and metacognitive which is the foundation of cognitive is metacognitive. There are two components such as knowledge of metacognitive and regulation of metacognitive. In the learning process, cognitive factors are not the only one that can support, but also a metacognitive factor is a very influential factor for the success of the learning process. Thus, it is very important to do with a deeper analysis about metacognitive by identifying me-tacognitive level to support the learning process. Identification of metacognitive is performed by using Naïve Bayes Classifier algorithm (NBC) which NBC is one of an algorithm that is used for classification algorithm for data mining. In these studies, it is obtained that the accuracy scored 88,0597% when tested using NBC.
Key Words: metacognitive, knowledge of metacognitive, regulation of metacognitive, cognitive, Naïve Bayes Classifier (NBC)
Abstrak: Hasil pembelajaran merupakan pola tindakan, nilai-nilai, pemahaman, sikap, apresiasi dan keterampilan. hasil belajar terkait dengan metakognitif siswa di mana unsur-unsur yang terkandung dalam metakognitif adalah kognitif. Hubungan antara kognitif dan metakognitif merupakan dasar dari kognitif adalah metakognitif. Terdapat dua komponen dalam pengetahuan metakognitif dan regulasi metakognitif. Dalam proses pembelajaran, faktor kognitif bukan satu-satunya yang dapat mendukung, tetapi juga faktor metakognitif adalah faktor yang sangat berpengaruh bagi keberhasilan proses pembelajaran. Jadi, sangat penting untuk melakukan analisis yang lebih mendalam tentang metakognitif dengan mengidentifikasi tingkat metakognitif untuk mendukung proses pembelajaran. Identifikasi metakognitif dilakukan dengan menggunakan algoritma Naïve Bayes Classifier (NBC) dimana NBC merupakan salah satu algoritma yang digunakan untuk algoritma klasifikasi untuk data mining. Dalam penelitian tersebut diperoleh bahwa nilai akurasi adalah 88,0597% saat diuji menggunakan NBC.
Kata kunci: Metakognitif, Pengetahuan Metakognitif, Peraturan Metakognitif, Kognitif, Naïve Bayes Classifier (NBC) |
| first_indexed | 2024-12-10T22:02:20Z |
| format | Article |
| id | doaj.art-8d2935d8e9e6442dbd324fc0d9df7c24 |
| institution | Directory Open Access Journal |
| issn | 2338-9117 2442-3904 |
| language | Indonesian |
| last_indexed | 2024-12-10T22:02:20Z |
| publishDate | 2017-03-01 |
| publisher | Universitas Negeri Malang |
| record_format | Article |
| series | Jurnal Pendidikan Sains |
| spelling | doaj.art-8d2935d8e9e6442dbd324fc0d9df7c242022-12-22T01:31:51ZindUniversitas Negeri MalangJurnal Pendidikan Sains2338-91172442-39042017-03-0151111610.17977/jps.v5i1.90696605Classification of Metacognitive into Two Catagories to Support the Learning ProcessHusnul Rahmawati Sakinnah0Adhistya Erna Permanasari1Indah Soesanti2Department of Electrical and Information Technology-Universitas Gadjah MadaDepartment of Electrical and Information Technology-Universitas Gadjah MadaDepartment of Electrical and Information Technology-Universitas Gadjah MadaAbstract: Learning outcomes are the patterns of actions, values, understanding, attitudes, appreciation and skills. Learning outcomes are related to the metacognitive of student where the elements contained in metacognitive is cognitive. The relationship between cognitive and metacognitive which is the foundation of cognitive is metacognitive. There are two components such as knowledge of metacognitive and regulation of metacognitive. In the learning process, cognitive factors are not the only one that can support, but also a metacognitive factor is a very influential factor for the success of the learning process. Thus, it is very important to do with a deeper analysis about metacognitive by identifying me-tacognitive level to support the learning process. Identification of metacognitive is performed by using Naïve Bayes Classifier algorithm (NBC) which NBC is one of an algorithm that is used for classification algorithm for data mining. In these studies, it is obtained that the accuracy scored 88,0597% when tested using NBC. Key Words: metacognitive, knowledge of metacognitive, regulation of metacognitive, cognitive, Naïve Bayes Classifier (NBC) Abstrak: Hasil pembelajaran merupakan pola tindakan, nilai-nilai, pemahaman, sikap, apresiasi dan keterampilan. hasil belajar terkait dengan metakognitif siswa di mana unsur-unsur yang terkandung dalam metakognitif adalah kognitif. Hubungan antara kognitif dan metakognitif merupakan dasar dari kognitif adalah metakognitif. Terdapat dua komponen dalam pengetahuan metakognitif dan regulasi metakognitif. Dalam proses pembelajaran, faktor kognitif bukan satu-satunya yang dapat mendukung, tetapi juga faktor metakognitif adalah faktor yang sangat berpengaruh bagi keberhasilan proses pembelajaran. Jadi, sangat penting untuk melakukan analisis yang lebih mendalam tentang metakognitif dengan mengidentifikasi tingkat metakognitif untuk mendukung proses pembelajaran. Identifikasi metakognitif dilakukan dengan menggunakan algoritma Naïve Bayes Classifier (NBC) dimana NBC merupakan salah satu algoritma yang digunakan untuk algoritma klasifikasi untuk data mining. Dalam penelitian tersebut diperoleh bahwa nilai akurasi adalah 88,0597% saat diuji menggunakan NBC. Kata kunci: Metakognitif, Pengetahuan Metakognitif, Peraturan Metakognitif, Kognitif, Naïve Bayes Classifier (NBC)http://journal.um.ac.id/index.php/jps/article/view/9069metacognitiveknowledge of metacognitiveregulation of metacognitivecognitiveNaïve Bayes Classifier (NBC) |
| spellingShingle | Husnul Rahmawati Sakinnah Adhistya Erna Permanasari Indah Soesanti Classification of Metacognitive into Two Catagories to Support the Learning Process Jurnal Pendidikan Sains metacognitive knowledge of metacognitive regulation of metacognitive cognitive Naïve Bayes Classifier (NBC) |
| title | Classification of Metacognitive into Two Catagories to Support the Learning Process |
| title_full | Classification of Metacognitive into Two Catagories to Support the Learning Process |
| title_fullStr | Classification of Metacognitive into Two Catagories to Support the Learning Process |
| title_full_unstemmed | Classification of Metacognitive into Two Catagories to Support the Learning Process |
| title_short | Classification of Metacognitive into Two Catagories to Support the Learning Process |
| title_sort | classification of metacognitive into two catagories to support the learning process |
| topic | metacognitive knowledge of metacognitive regulation of metacognitive cognitive Naïve Bayes Classifier (NBC) |
| url | http://journal.um.ac.id/index.php/jps/article/view/9069 |
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