ICONESTH
2023: ICONESTH

INTERNATIONAL CONFERENCE ON EDUCATION, SCIENCE TECHNOLOGY AND HEALTH

Yuli Amalia (Universitas Bina Bangsa Getsempena)
Ahmad Nasriadi (Universitas Bina Bangsa Getsempena)
Akmalia Khairunnisa (Universitas Bina Bangsa Getsempena)



Article Info

Publish Date
29 Jan 2024

Abstract

Students experience difficulties in working on and solving non-routine problems. This means that students' high-level thinking abilities are still relatively low. One solution isto use HOTS-based LKPD through the problem[1]based learning model. The aim of this research is to find out whether HOTS[1]based LKPD through the PBL model is effective in reducing absolute value inequality. This research is a type of quantitative research. The method used in this research is quasi-experimental design in the form of a nonequivalent control group design. The sample in this study was determined using the purposeful sampling technique. The experimental class was given treatment using HOTS-based LKPD via the PBL model, while the control class used a conventional learning model. The techniques and tools for collecting data for this research are through tests and documentation. The data analysis technique was tested through descriptive statistical analysis and inferential statistical analysis, as well as the N-Gain Score test. The results of this research show that learning using HOTS-based LKPD through the PBL model in the experimental class is within the effective criteria with a percentage level of effectiveness of 81.21%, while learning using the conventional model in the control class is within the criteria of being quite effective with a percentage level of effectiveness of 54.47 percent. The conclusion is that the HOTS-based LKPD through the PBL model is effective in reducing absolute value inequality material.

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Journal Info

Abbrev

iconesth

Publisher

Subject

Arts Humanities Computer Science & IT Dentistry Mathematics Neuroscience Nursing Public Health Social Sciences Other

Description

The International Conference on Education, Science, Technology and Health (ICONESTH), is a scientific platform that collects academic papers published in an academic seminar. Where the outer targets are distributed journals. This proceeding contains the contributions made by the researchers in the ...