Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal EDUCENTER JURNAL PENDIDIKAN
Putri Hidayah
Universitas Negeri Medan
Economics, Econometrics & Finance Education Health Professions

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pengembangan tes diagnostik berbasis web pada materi larutan elektrolit dan nonelektrolit Putri Hidayah; Zainuddin Muchtar
Educenter : Jurnal Ilmiah Pendidikan Vol. 1 No. 6 (2022): Educenter: Jurnal Ilmiah Pendidikan
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v1i6.190

Abstract

This study aims to determine: the feasibility of web-based diagnostic tests on electrolyte and nonelectrolyte solutions, profiles of students' conceptual understanding after using web-based diagnostic tests on electrolyte and non-electrolyte solutions, chemistry teacher responses to webbased diagnostic tests on electrolyte and non-electrolyte solutions. , student responses to web-based diagnostic tests on electrolyte and nonelectrolyte solutions. The method used in this development research is the ADDIE method which consists of 5 stages of treatment, namely analysis, design, development, implementation and evaluation. The results showed that (1) the developed web-based diagnostic test had very feasible criteria. The percentage of misconceptions on test 1 is 21.67% while test 2 is 33.33%. The percentage of not knowing the concept on test 1 is 61.33% while test 2 is 20%. The percentage of guessing on test 1 is 8% while on test 2 it is 7%. The teacher's response to a webbased diagnostic test on electrolyte and nonelectrolyte solution material obtained the percentage of presentation aspects 92%, language and content aspects 100% and benefits aspects 90%. Student responses to web-based diagnostic tests on electrolyte and nonelectrolyte solutions obtained an average percentage of 83,20% display aspect, 92,60% language and content aspect, and 87,365 benefit aspect.
Co-Authors Zainuddin Muchtar