Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal International Journal of Artificial Intelligence Research Jurnal Pengabdian kepada Masyarakat Nusantara
Widdya Rahmalina, Widdya
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences

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

Found 2 Documents
Search

 1 
GeoGebra: Transformasi Teknologi yang Menyulap Pembelajaran Matematika Menjadi Lebih Menyenangkan Gusteti, Meria; Rahmalina, Widdya; Azmi, Khairul; Wulandari, Suci; Mulyati, Asrina; Hayati, Rahmatul; Wahyuni, Zelfi; AlFath, Muhammad Ro’id; Azizah, Nur
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 4 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mathematics learning is often perceived as monotonous and challenging to comprehend. This community service aims to introduce GeoGebra as a technological transformation that can make the mathematics learning process more engaging. Through a questionnaire approach filled out by students, it was found that the majority of participants felt more interested and motivated to learn mathematics with GeoGebra. They acknowledged gaining a deeper understanding of mathematical concepts and felt more confident in solving problems. Moreover, GeoGebra offers a new perspective on mathematics and encourages independent learning. In conclusion, GeoGebra holds significant potential in altering students' perceptions of mathematics, making it appear more enjoyable and understandable
Comparison Analysis of K-Nearest Neighbor and Naïve Bayes in Determining Talent of Adolescence Jusman, Yessi; Rahmalina, Widdya; Zarman, Juni
International Journal of Artificial Intelligence Research Vol 4, No 1 (2020): June
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.209 KB) | DOI: 10.29099/ijair.v4i1.118

Abstract

Adolescence always searches for the identity to shape the personality character. This paper aims to use the artificial intelligent analysis to determine the talent of the adolescence. This study uses a sample of children aged 10-18 years with testing data consisting of 100 respondents. The algorithm used for analysis is the K-Nearest Neigbor and Naive Bayes algorithm. The analysis results are performance of accuracy results of both algorithms of classification. In knowing the accurate algorithm in determining children's interests and talents, it can be seen from the accuracy of the data with the confusion matrix using the RapidMiner software for training data, testing data, and combined training and testing data. This study concludes that the K-Nearest Neighbor algorithm is better than Naive Bayes in terms of classification accuracy.
Co-Authors AlFath, Muhammad Ro’id Asrina Mulyati Gusteti, Meria hayati, rahmatul Jusman, Yessi Khairul Azmi Nur Azizah Suci Wulandari Wahyuni, Zelfi Zarman, Juni