Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal KALAMATIKA Jurnal Pendidikan Matematika Journal of Advanced Computer Knowledge and Algorithms
Putri, Riska Yolanda
Unknown Affiliation
Computer Science & IT Education Mathematics

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

Found 2 Documents
Search

 1 
Comparison of the Results of the K-Nearest Neighbor (KNN) and Naïve Bayes Methods in the Classification of ISPA Diseases (Case Study: RSUD Fauziah Bireuen) Putri, Riska Yolanda; Yunizar, Zara; Safwandi, Safwandi
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 1 (2024): Journal of Advanced Computer Knowledge and Algorithms - January 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i1.14535

Abstract

Acute Respiratory Infection or commonly called (ARI) is a disease caused by bacteria or viruses. (ARI) can attack all ages, especially children. This study aims to compare the accuracy of classification in (ARI) disease. The data used is data from patients affected by (ARI) disease at Fauziah Bireuen Hospital. K-Nearest Neighbors and Naïve Bayes can be used in the classification of (ARI) diseases. Measurement of accuracy using Confusion Matrix in the K-Nearest Neighbors method with the Eulidean Distance approach in the case of (ARI) disease classification obtained a percentage of precision of 91%, recall 84% and accuracy of 88%. While the Naïve Bayes method obtained a percentage of precision of 95%, recall 78% and accuracy of 86%. The results of the accuracy comparison of the two methods show that the K-Nearest Neighbors method has a higher accuracy rate than the Naïve Bayes method.
STUDENTS' MATHEMATICAL CREATIVE THINKING SKILLS IN SOLVING PISA PROBLEMS: A CASE IN INDONESIA Putri, Riska Yolanda; Puspaningtyas, Nicky Dwi; Hadi, Windia
KALAMATIKA Jurnal Pendidikan Matematika Vol 9 No 2 (2024): KALAMATIKA November 2024
Publisher : FKIP Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/KALAMATIKA.vol9no2.2024pp233-249

Abstract

This study analyzes students' creative thinking skills in solving PISA questions involving spatial and geometric content. A descriptive qualitative approach was used, selecting three groups of students based on mathematical ability: high, medium, and low. Data were collected through tests, interviews, and documentation. The test consisted of three PISA items designed to assess students' creative thinking indicators: fluency, flexibility, originality, and elaboration. The conclusions of this study show that students with high mathematical ability exhibit a high level of creative thinking, as evidenced by the fulfillment of all indicators: fluency, flexibility, elaboration, and originality. Students with moderate mathematical ability demonstrate limited or moderate creative thinking, fulfilling only the fluency and originality indicators, while elaboration and flexibility are not optimal. Students with low mathematical ability fulfill only the originality indicator, with low fluency and elaboration, and do not demonstrate flexibility.
Co-Authors Puspaningtyas, Nicky Dwi Safwandi Safwandi Windia Hadi, Windia Zara Yunizar