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INDONESIA
Computer Based Information System Journal
Published by Universitas Putera Batam
ISSN : 23378794     EISSN : 26215292     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Library & Information Science
CBIS Journal diterbitkan dua kali setahun, pada bulan maret dan september. Bidang penelitian yang diterbitkan meliputi data mining, text mining, data warehouse, online analytical processing, artificial intelligence, decision support system, Mobile Application, Software engineering, Software Testing, dll.
Arjuna Subject : -
Articles 14 Documents
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Search results for , issue "Vol. 12 No. 1 (2024): CBIS Journal" : 14 Documents clear
PENERAPAN METODE MACHINE LEARNING DALAM MENGIDENTIFIKASI BERITA HOAKS Saputra, Vijay Andika; Arnomo, Sasa Ani
Computer Based Information System Journal Vol. 12 No. 1 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i1.8442

Abstract

In the era of increasingly developing digital information, hoax or fake news is a serious challenge that can influence people's perceptions and decisions. This research aims to develop a hoax news detection method using a machine learning approach on news data. The focus of this research is to identify related hoax news. This research involves collecting news data from leading online news sources and applying machine learning algorithms, including Logistic Regression, Decision Tree, Gradient Boosting, and Random Forest, to classify hoax news. Model performance is measured using accuracy, precision, recall and F1-score metrics, with test results compared with human evaluations that have been trained to recognize hoax news. The results of this research show that the machine learning approach can be successfully used to identify hoax news with a high level of accuracy. However, this study also identified limitations in this approach, such as limited training data and language complexity. Nevertheless, this research makes an important contribution in efforts to overcome the problem of hoax news and provides a basis for further development in hoax news detection using machine learning technology.
ANALISIS SENTIMEN OBJEK WISATA DI GOOGLE MAPS MENGGUNAKAN METODE DECISION TREE Tukino, Tukino; Hakim, Arif Rahman
Computer Based Information System Journal Vol. 12 No. 1 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i1.8456

Abstract

Tourism is a popular choice for travelers exploring a city. Typically, people rely on Google Reviews to assess the quality of tourist spots by checking ratings and reading reviews. However, discrepancies between reviews and ratings can occur. In this case study, we focus on Taman Wisata Taman Laut Batam in Batam city. Using the Decision tree method, we conducted sentiment analysis. The results revealed more positive sentiments (200) than negative sentiments (141). The F1-score accuracy was 79.59%, with a margin of error of ±8.78%. Precision for positive predictions was 71.00%, while negative predictions had 77.49% precision. Recall values were 75.53% for positive predictions and 62.09% for negative predictions. Overall, positive sentiment predictions achieved an F1-score of 87.07%, while negative predictions scored 74.73%.
Perancangan dan Implementasi Sistem Informasi Launchpad Cryptocurrency pada PT. Pintar Media Teknologi Suwarno, Suwarno; Valentino, Elvin
Computer Based Information System Journal Vol. 12 No. 1 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i1.8791

Abstract

Blockchain technology has become a major focus in the development of decentralized web applications, opening a new era in the evolution of the internet known as Web3. In the midst of this development, startup company PT. Pintar Media Teknologi introduced a cryptocurrency launchpad application that relies on blockchain technology to provide decentralized solutions in crypto asset trading. The author has the opportunity to conduct research at PT. Pintar Media Teknologi to build a cryptocurrency launchpad application. The blockchain application development methodology applied is the Agile Scrum methodology. Through analyzing the features developed, such as Entity Relationship Diagram design, database design, to the implementation of key features such as authentication using Web3, token management, and launchpad management. The results of this study provide insight into the practice of developing blockchain applications and the author's contribution to this research is to design and implement a cryptocurrency launchpad information system according to the needs of stakeholders so as to accelerate the product development process.
RANCANG BANGUN SISTEM KEAMANAN DROPBOX PAKET DENGAN MENGGUNAKAN SIDIK JARI Tiara, Nurul; Mardiono, Djoko Anwar; Toto H , Gunawan; Friadi, John
Computer Based Information System Journal Vol. 12 No. 1 (2024): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v12i1.9192

Abstract

The design of this tool is to help overcome anxiety in receiving package deliveries, so that having this tool can provide a sense of security for home owners when they are not at home when the package being sent arrives. This Dropbox package is designed with several security components including a fingerprint sensor (Finger Print ZFM-20) and Keypad. Finger Print functions to open the door of the dropbox by the home owner. Apart from that, you can also open the dropbox door by using a PIN that is entered into the keypad. The keypad function is to input the last 6 digits of the homeowner's delivery receipt number after receiving the delivery receipt number. For goods delivery couriers, if the courier wants to put a package into the dropbox, the courier must enter the 6-digit receipt on the delivery package. If the receipt number entered matches the homeowner's receipt number, then the dropbox lid can be opened so the courier can enter the package. The homeowner will receive a notification when the package has arrived via SMS. The result of testing this tool is the creation of a sensory-based intelligence system that combines several sensors to control Dropbox Package access

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