Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Wahana Pendidikan
Rizma Berliana Putri Affandi
Unknown Affiliation
Religion Education Social Sciences Other

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

Found 2 Documents
Search

 1 
Analysis of Lack of Communication Etiquette on Social Media Rizma Berliana Putri Affandi; Didi Juardi
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 5 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (188.584 KB) | DOI: 10.5281/zenodo.6477384

Abstract

Social media is increasingly showing its speed in the world of technology. Today's social media users are very diverse, ranging from children, teenagers, adults, to parents who are free to access it anytime and anywhere. The current rapid development of technology in social media has both positive and negative impacts on its use, and one of the most common negative impacts is cyberbullying. Cyberbullying is a form of threat in the form of ridicule, hate speech, slander, defamation, or others from one person on social media and is usually in the form of writing/text, images, or sounds. This study uses the literature review method as a source or data material from the paper related to the topic of this research, namely the analysis of the lack of ethics in social media, especially in the case of cyberbullying. This paper aims to analyze or find out cyberbullying from the ethical point of view of communicating on social media.
Penerapan K-Means Clustering dalam Pengelompokan Kasus Tuberkulosis di Provinsi Jawa Barat Fadhlan Sulistiyo Hidayat; Rizma Berliana Putri Affandi; Virgaria Zuliana; Tesa Nur Padilah
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 15 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (183.523 KB) | DOI: 10.5281/zenodo.7049113

Abstract

Tuberculosis is a very common infectious disease and is lethal in most of the cases. This is the background of this research, namely because there are many cases of Tuberculosis in Jawa Barat. According to data obtained from the Open Data Jabar, namely Tuberculosis Data in Jawa Barat Province, showing data that in 2020 all districts and cities in Jawa Barat had a number of Tuberculosis cases starting from 320 cases in Banjar Regency which was the lowest case, and 10,248 cases in Bogor Regency which is the highest case in Jawa Barat. The purpose of this study was to cluster TB cases into high and low categories based on gender. The data we use is data on the number of TB cases in Jawa Barat province in 2020 which consists of 27 districts/cities. In this study using the Clustering method with the K-Means algorithm. The results obtained based on the test, the clusters obtained were 2 with cluster 0 with 23 low TB cases and 4 clusters for high TB cases. Researchers hope that the results of this study can become knowledge for the government to reduce the number of TB in Jawa Barat
Co-Authors Didi Juardi Fadhlan Sulistiyo Hidayat Tesa Nur Padilah Virgaria Zuliana