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All Journal VISA: Journal of Vision and Ideas EduInovasi: Journal of Basic Educational Studies
Muryati, Jamilah
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Religion Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Analisa Peningkatan Softskill dan Hardskill Siswa melalui Kurikulum Merdeka dengan Machine Learning Hilmizen, Naufal; Munandar, Aris; Muryati, Jamilah; Mulyanto, Agus
EduInovasi:  Journal of Basic Educational Studies Vol. 4 No. 2 (2024): EduInovasi:  Journal of Basic Educational Studies (In Press)
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/edu.v4i2.1582

Abstract

The Merdeka Curriculum serves as a foundation for developing skills, both hard and soft, to prepare students to face the complex demands of society and the working world. However, assessments of improvements in soft and hard skills often lack consistency due to the subjective nature of evaluation by educators. This research aims to address these challenges by integrating Machine Learning (ML) methods into the assessment process. ML methods, including multiple linear regression, support vector machine (svm), and artificial neural network (ann), are implemented to help achieve more objective and consistent evaluations of students' progress in soft and hard skills. The research also involves comparing the accuracy of these three machine learning methods, resulting in 91.13%, 88.92%, and 91.26% accuracy, respectively. This research is expected to make a valuable contribution to understanding the effectiveness of the Merdeka Curriculum in relation to students' skill development. The comparison of accuracy of machine learning methods is also expected to provide important insights for educators, policymakers, and education stakeholders to support more informed and data-driven decision-making.
IKM dalam P5 Produk Herbal Halalan Toyyiban dengan Memanfaatkan Taman Sekolah Muryati, Jamilah; Hilmizen, Naufal; Munandar, Aris; Koswara, Endang
VISA: Journal of Vision and Ideas Vol. 4 No. 1 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i1.1443

Abstract

This Community Service (PKM) was carried out because there are digitalization problems in this technological era. All office work, including teachers and students, use computers and cellphones for quite a long time, resulting in eye fatigue. The method used is counseling. The school garden data source is then distilled to obtain hydrosol water in the form of eye drops and face mist. To make eye drops, you can combine distilled betel leaves, kecombrang flowers and jasmine flowers. Meanwhile, to make face mist, you can combine distilled betel leaves, kecombrang flowers, ylang-ylang flowers and bidara leaves.
Co-Authors Agus Mulyanto Aris Munandar Hilmizen, Naufal Koswara, Endang