Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Mantik At-Tarbawi : Jurnal Pendidikan, Sosial dan Kebudayaan
Nani Hidayati
STIKOM Tunas Bangsa Pematangsiantar
Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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

Found 2 Documents
Search

 1 
Implemention K-Means Algorithm Determine the Recovery Rate of Covid-19 Patients in Indonesia Mentari Tri Indah Rahmayani; Nani Hidayati
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jurnalmantik.v6i1.2059

Abstract

In Indonesia, the number of COVID-19 sufferers continues to increase every time, data from the Indonesian National Disaster Management (BPBN) shows the number shows the number of deaths as many as 100,636 people and the recovery rate as many as 2,907,920 people. In this study, the authors applied the k-means clustering algorithm to group the areas with the lowest cure rate (C1), moderate cure rate (C2) and high cure rate (C3). The purpose of this study is to group areas in Indonesia with the highest cure rates and to find out the similarities in data management using manual calculations and using Rapid Miner Software. The results show that from 34 provinces in Indonesia 30 provinces are in the low cluster, namely, Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Bangka Belitung, Riau Islands, DI Jogjakarta, Banten, Bali, NTB, NTT, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, West Sulawesi, Maluku, North Maluku, Papua and West Papua, with a moderate cure rate cluster of 2 provinces, namely Central Java and East Java, and the cluster with the highest cure rate was 2 provinces, namely DKI Jakarta and West Java.
Improving Student Mathematical Understanding through the Implementation of the STAD Method at STIKOM Tunas Bangsa Zulaini Masruro Nasution; Ika Okta Kirana; Fitri Anggraini; Nani Hidayati; Fitri Rizki
At-Tarbawi: Jurnal Pendidikan, Sosial dan Kebudayaan Vol. 12 No. 2 (2025): At-Tarbawi: Jurnal Pendidikan, Sosial dan Kebudayaan
Publisher : the Faculty of Education and Teacher Training of the Institut Agama Islam Negeri (IAIN) Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/tarbawi.v12i2.10768

Abstract

One of the factors for the low mathematical understanding of students is the inappropriate learning method. The selection of the STAD method is believed to be able to improve students' mathematical understanding. This research uses a quantitative approach (pre-experiment). This study aims to determine the difference in students' mathematical understanding before and after using the STAD method. The research population consisted of STIKOM Tunas Bangsa students majoring in Information Systems in the 2023-2024 academic year, with 8 classes, and the sample was drawn from class 23S01. Quantitative data analysis using SPSS 25, namely paired sample t-test. The results showed that the correlation value was 0.714, indicating a strong and significant correlation between initial understanding and final understanding. Based on the mean value of initial understanding (pretest) with a value of 70.83, lower than the mean final understanding (Post-test) after using the STAD method of 79.44. The sig. A value of 0.00 or smaller than 0.05 states that mathematical understanding after using the STAD method is higher than before using the STAD method. Thus, it can be concluded that there is a significant and strong increase in mathematical understanding after using the STAD-type cooperative method in higher education, one of which is for STIKOM Tunas Bangsa students
Co-Authors Fitri Anggraini Fitri Rizki Ika Okta Kirana Mentari Tri Indah Rahmayani Zulaini Masruro Nasution