Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Assimilation: Indonesian Journal of Biology Education Arcitech: Journal of Computer Science and Artificial Intelligence
Sunandar, Aris
Unknown Affiliation
Computer Science & IT Education

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisa Rancang Bangun Aplikasi Biro Jodoh Islami Menggunakan Algoritma Profile Matching Berdasarkan Platform Android Pramana, Ekky Bayu; Sunandar, Aris
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 2 No. 2 (2022): December 2022
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v2i2.5834

Abstract

Matchmaking in the current era of globalization is also a problem faced by the younger generation. Indonesian people who are multi-ethnic and multi-religious mingle in everyday life, both in the school, college, work and home environment around us. For Muslims, getting a partner in the faith is of course the dream of every family. The problem that sometimes occurs is that parents are anxious because their child is in a relationship with someone who is not a believer or even if their child is old enough, it turns out that they still have difficulty getting a partner in the faith because of their busy schedules. This is what inspired researchers to analyze the design and build of Islamic dating agency applications using the Profile Matching Algorithm Based on the Android Platform. Through the help of this Profile Matching algorithm, it is hoped that someone can more easily find a potential partner according to the criteria he wants.
High school students’ cognitive load on biology learning: A case study Sunandar, Aris; Karwatisari, Rina; Rahmat, Adi; Winarno, Nanang; Hamdiyati, Yanti
Assimilation: Indonesian Journal of Biology Education Vol 7, No 2 (2024): July 2024
Publisher : Department of Biology Education, Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/aijbe.v7i2.67266

Abstract

This study aimed to analyze the cognitive load of high school students on biology learning. The method was used in this research is the survey method. The subjects of the study consisted of 179 students in grade X students consisting of 56 male students and 123 female students, 130 students in grade XI consisting of 37 male students and 93 female students, and 90 students in grade XII students consisting of 30 male students and 60 female students. The instrument in this study used a questionnaire cognitive load theory proposed by Meissner and Bogner about good learning design with a Likert scale. The results of research on high school students' cognitive load in biology revealed a medium average of 2.93, with GCL (3.29) ranking highest, followed by ICL (2.85) and ECL (2.66). The data processing results with the Kruskal Wallis test was showed that each factor has differences between ICL, ECL, and GCL. Thus, high school students still have a cognitive load when studying in class. The data processing results with the Mann U Whitney test to analyze the difference in cognitive load between male and female students was showed no significant difference between male and female students in cognitive load on biology learning.
Co-Authors Adi Rahmat Karwatisari, Rina Mrs Yanti Hamdiyati Nanang Winarno Pramana, Ekky Bayu