Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
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This Author published in this journals
All Journal Aptisi Transactions on Technopreneurship (ATT) Computer Science and Information Technologies International Journal of Cyber and IT Service Management (IJCITSM)
Purnama Harahap, Eka
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Social Sciences

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GOOD, BAD AND DARK BITCOIN: A Systematic Literature Review Rahardja, Untung; Aini, Qurotul; Purnama Harahap, Eka; Raihan, Raihan
Aptisi Transactions On Technopreneurship (ATT) Vol 3 No 2 (2021): September
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v3i2.175

Abstract

Crypto currency investments have been in demand since the popularity of bitcoin. Crypto currency (cryptocurrency) is a currency based on cryptography or digital currency. The birth of bitcoin as one of the important foundations in the formation of the reputation of the crypto currency. Investing in crypto currencies is considered to provide more security and large profits for investors, with a cryptographic system the crypto currency is difficult to hack and fake. This cryptocurrency is also a digital key with encryption capabilities as security and validity, as well as real value that can be exchanged as an option. The most popular type of virtual currency is known as Bitcoin, and its popularity and strength continue to increase. At first glance, Bitcoin is very confusing. But here are ten facts that can be explained in simple terms, exactly what that little coin is and what happens.
Technological and Islamic environments: Selection from Literature Review Resources Durachman, Yusuf; Sean Bein, Adrian; Purnama Harahap, Eka; Ramadhan, Tarisya; Putri Oganda, Fitra
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1277.205 KB) | DOI: 10.34306/ijcitsm.v1i1.12

Abstract

This article is displayed in two fundamental segments drawing consideration to investigate standards, beginning with tawḥīd as a result it was a vision conveyed of the overall troubles of mankind with other animals within the world. At that point continue with a survey of the two standards, specifically the caliph, the caliph of people on soil, and the guideline of trust (amānah). The moment portion examines illustrations of infringement of these principles in three fundamental ranges: the spread of debasement (fasād) within the world, extraction and squander (isrāf) and enduring (ḍarar). The most objective of the talk in this area is the administration of people, or maybe the fumble of the world and its assets so that mankind itself gets to be the most noteworthy casualty of its own disappointments. The conclusion draws consideration to how comprehensive Islamic sees and lessons can make chosen commitments to the wrangle about possible worldwide climate change. This article concludes with suggestions for conceivable changes.
Trends in sentiment of Twitter users towards Indonesian tourism: analysis with the k-nearest neighbor method Purnama Harahap, Eka; Dwi Purnomo, Hindriyanto; Iriani, Ade; Sembiring, Irwan; Nurtino, Tio
Computer Science and Information Technologies Vol 5, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i1.p19-28

Abstract

This research analyzes the sentiment of Twitter users regarding tourism in Indonesia using the keyword "wonderful Indonesia" as the tourism promotion identity. The aim of this study is to gain a deeper understanding of the public sentiment towards "wonderful Indonesia" through social media data analysis. The novelty obtained provides new insights into valuable information about Indonesian tourism for the government and relevant stakeholders in promoting Indonesian tourism and enhancing tourist experiences. The method used is tweet analysis and classification using the K-nearest neighbor (KNN) algorithm to determine the positive, neutral, or negative sentiment of the tweets. The classification results show that the majority of tweets (65.1% out of a total of 14,189 tweets) have a neutral sentiment, indicating that most tweets with the "wonderful Indonesia" tagline are related to advertising or promoting Indonesian tourism. However, the percentage of tweets with positive sentiment (33.8%) is higher than those with negative sentiment (1.1%). This study also achieved training results with an accuracy rate of 98.5%, precision of 97.6%, recall of 98.5%, and F1-score of 98.1%. However, reassessment is needed in the future as Twitter users' sentiment can change along with the development of Indonesian tourism itself.
Co-Authors Ade Iriani Hindriyanto Dwi Purnomo Irwan Sembiring Nurtino, Tio Putri Oganda, Fitra Qurotul Aini Raihan Raihan, Raihan Ramadhan, Tarisya Sean Bein, Adrian Untung Rahardja Yusuf Abdurachman