Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Indonesian Journal on Computing (Indo-JC) AT-TAKLIM: Jurnal Pendidikan Multidisiplin
Muhammad Rahman Ali
Unknown Affiliation
Computer Science & IT Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Public Perception of Buying and Selling Bitcoin Using Lexicon Sentiment Analysis Muhammad Rahman Ali; Wijaya, Rifki; Yunanto, Prasti Eko
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.980

Abstract

This study investigates public perceptions of Bitcoin (BTC) trading using sentiment lexicon analysis. The rapid growth of cryptocurrency trading has attracted significant public interest and investment, making it crucial to understand the sentiments and opinions surrounding BTC transactions. By employing sentiment lexicon methods, this research analyzes tweets and social media posts to determine public sentiment. The study aims to identify trends and patterns in public opinion, providing insights into how sentiment impacts BTC trading behavior. Preliminary results indicate a correlation between positive sentiment and increased trading activity, while negative sentiment correlates with market declines. This research contributes to a better understanding of the role of public sentiment in the volatile cryptocurrency market.
Public Perception of Buying and Selling Bitcoin Using Lexicon Sentiment Analysis Muhammad Rahman Ali; Wijaya, Rifki; Yunanto, Prasti Eko
Indonesian Journal on Computing (Indo-JC) Vol. 9 No. 2 (2024): August, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.2.980

Abstract

This study investigates public perceptions of Bitcoin (BTC) trading using sentiment lexicon analysis. The rapid growth of cryptocurrency trading has attracted significant public interest and investment, making it crucial to understand the sentiments and opinions surrounding BTC transactions. By employing sentiment lexicon methods, this research analyzes tweets and social media posts to determine public sentiment. The study aims to identify trends and patterns in public opinion, providing insights into how sentiment impacts BTC trading behavior. Preliminary results indicate a correlation between positive sentiment and increased trading activity, while negative sentiment correlates with market declines. This research contributes to a better understanding of the role of public sentiment in the volatile cryptocurrency market.
Pancasila sebagai Ideologi dan Dasar Negara Relevansi dan Tantangan dalam Kehidupan Berbangsa Muhammad Rahman Ali
AT-TAKLIM: Jurnal Pendidikan Multidisiplin Vol. 2 No. 11 (2025): At-Taklim: Jurnal Pendidikan Multidisiplin (Edisi November)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/at-taklim.v2i11.1135

Abstract

Pancasila merupakan dasar negara dan ideologi nasional yang memuat nilai-nilai fundamental bangsa Indonesia. Sejak kelahirannya pada 1 Juni 1945 hingga pengesahannya pada 18 Agustus 1945, Pancasila telah menjadi pedoman dalam penyelenggaraan kehidupan berbangsa dan bernegara. Dalam konteks globalisasi, nilai-nilai Pancasila menghadapi berbagai tantangan, mulai dari pengaruh budaya asing, krisis moral, hingga menguatnya radikalisme. Oleh karena itu, diperlukan upaya penguatan pemahaman dan pengamalan Pancasila secara konsisten, baik melalui pendidikan, kebijakan publik, maupun praktik kehidupan sosial. Tulisan ini bertujuan untuk menggali kembali esensi Pancasila sebagai dasar negara dan ideologi nasional, serta mengevaluasi tantangan dan strategi aktualisasi nilai-nilai Pancasila dalam kehidupan masyarakat Indonesia kontemporer.
Co-Authors Prasti Eko Yunanto Rifki Wijaya