INFOKUM
Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence

Comparison of Offline-Online-Blended Learning Models Using Agglomerative Hierarchical Clustering

N. Priya Dharshinni (Universitas Prima Indonesia)
Darwis Darwis (Universitas Prima Indonesia, Indonesia)
Toni Toni (Universitas Prima Indonesia, Indonesia)
Ricki Ricki (Universitas Prima Indonesia, Indonesia)
Novitasari Novitasari (Universitas Prima Indonesia, Indonesia)
Putri Putri (Universitas Prima Indonesia, Indonesia)



Article Info

Publish Date
30 Jun 2022

Abstract

The pandemic has resulted in changes learning models over the last 3 years. Offline learning models in schools have changed to online learning due to the covid-19 pandemic and after the end of the covid-19 pandemic, many schools have implemented the blended learning model. The problem faced by the school is that it is unable to determine which learning model is the most effective to develop better learning methods for students. The purpose of this study was to compare offline, online, and blended learning models to determine effective learning methods based on student subject grades using agglomerative hierarchical clustering algorithms. The results of the study found that blended learning was the most understood learning by students compared to offline and online learning models which were seen from cluster results based on the good grade predicate category show that in offline learning the average value of students in the good grade predicate is 290 students and decrease to 219 students while using online learning and an increased drastically to 362 students after implementing blended learning. While the subjects that can be understood by students using offline, online and blended learning models are the subjects of Religion, Mathematics, and Natural Science.

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Journal Info

Abbrev

infokum

Publisher

Subject

Computer Science & IT

Description

The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the ...