Analisis Asosiasi Rule Mining Dalam Rekomendasi Sparepart Pada Bengkel Service 227 Menggunakan Algortima CT-Pro

Y Aziz, H Hasdiana… - Jurnal Media …, 2022 - ejournal.sisfokomtek.org
Clustering merupakan proses analisa informasi yang mana kerap digunakan sebagai salah
satu proses untuk Data Mining yang bertujuan untuk mengumpulkan informasi yang …

Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity …

N Thakur, S Cui, K Khanna, V Knieling, YN Duggal… - Computers, 2023 - mdpi.com
This paper presents several novel findings from a comprehensive analysis of about 50,000
Tweets about online learning during COVID-19, posted on Twitter between 9 November …

Twitter Data Analysis and Text Normalization in Collecting Standard Word

AR Lubis, MKM Nasution - Journal of Applied Engineering and …, 2023 - journal.yrpipku.com
Abstract is one of the most important data sources in social data analysis. However, the text
contained on Twitter is often unstructured, resulting in difficulties in collecting standard …

Animasi Edukasi Bahaya Kekerasan Terhadap Perempuan Dan Anak

A Sarah, YF Siahaan, A Zakir - Jurnal Media Informatika, 2022 - ejournal.sisfokomtek.org
Salah satu pelanggaran hak asasi manusia yang angkanya mencapai 348.446 kasus
adalah tindakan kekerasan yang korbannya lebih sering terjadi pada perempuan dan anak …

A deep learning based approach for classifying tweets related to online learning during the Covid-19 pandemic

KI Senadhira, RAHM Rupasingha… - Education and Information …, 2024 - Springer
The majority of educational institutions around the world have switched to online learning
due to the COVID-19 pandemic. Since continuing education has become important during …

DEVELOPING A MODEL OF ASSOCIATION RULES WITH MACHINE LEARNING IN DETERMINING USER HABITS ON SOCIAL MEDIA.

M Arfah, F Fachrizal, O Nugroho - Eastern-European Journal …, 2024 - search.ebscohost.com
Developing a model of association rules with machine learning in determining user habits
on social media The object of the research is the habits of social media users. The problem …

The ChatGPT Impact on Education: A Comprehensive Bibliometric Review.

ID Utama, ID Sudirman, DY Nugraha… - Journal of Higher …, 2024 - search.ebscohost.com
This bibliometric study involves 241 articles about ChatGPT within education, revealing a
robust study field with an extraordinary annual growth rate of 23,900% and a high level of …

SISTEM INFORMASI PEMASARAN KULINER DELITUA BERBASIS WEB MENGGUNAKAN METODE EXTREAM PROGRAMMING

R Nisa, A Zakir, M Elsera - Jurnal Media Informatika, 2022 - ejournal.sisfokomtek.org
Perkembangan teknologi yang sangat pesat di era globalisasi saat ini telah memberikan
banyak manfaat dalam kemajuan diberbagai aspek sosial salah satunya perkembangan …

Implementasi Algoritma K-Means Untuk Clustering Judul Skripsi Universitas Harapan Medan

A Zakir - Jurnal Media Informatika, 2022 - ejournal.sisfokomtek.org
Clustering merupakan proses analisa informasi yang mana kerap digunakan sebagai salah
satu proses untuk Data Mining yang bertujuan untuk mengumpulkan informasi yang …

[PDF][PDF] Deep neural networks approach with transfer learning to detect fake accounts social media on Twitter

A Lubis, S Prayudani, ML Hamzah… - Indones. J. Electr …, 2024 - pdfs.semanticscholar.org
The massive use of social media makes people take actions that have a negative impact on
cyberspace, such as creating fake accounts that aim to commit crimes such as spam and …