Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal OKTAL : Jurnal Ilmu Komputer dan Sains
Amirulah Kaharudin
Unknown Affiliation
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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

Found 2 Documents
Search

 1 
PENERAPAN SISTEM INFORMASI MANAJEMEN UNTUK MENINGKATKAN PENGAMBILAN KEPUTUSAN STRATEGIS DALAM ORGANISASI BISNIS Amirulah Kaharudin; Ines Heidiani Ikasari
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 06 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this research is to analyze the application of management information systems to improve strategic decision making in business organizations. The research method used is a literature review study with content analysis techniques. The results of this study include, first, important things that need to be considered in practice (design as a tool, adequate quality of decision makers; knowledge from various scientific disciplines; information from management information systems must be information that is accurate, timely, relevant , complete and economical; involvement of all members of the business organization) and secondly, the benefits of implementing (increasing profits and reducing costs of business organizations; increasing efficiency, effectiveness and excellence of business organizations; solving problems in business organizations) Management Information Systems in improving decision making strategy in business organizations.
Analisis Sentimen pada Media Sosial dengan Teknik Kecerdasan Buatan Naïve Bayes: Kajian Literatur Review Amirulah Kaharudin; Ari Agus Supriyadi; Muhlis; Haqun Baitika; Muhamad Derryanur
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 06 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study discusses sentiment analysis on social media using Naïve Bayes artificial intelligence (AI) techniques. This study aims to provide a literature review on AI techniques used in sentiment analysis on social media. The data collection used in this study was to search for related articles from various literary sources using the Publish or Perish application (https://harzing.com/resources/publish-or-perish). There are 8 articles used in this study, which relate to sentiment analysis on social media with the use of artificial intelligence techniques. The method used in this research is a literature study by collecting information from relevant journal articles. Based on the results and discussion of this study, it can be concluded that the use of artificial intelligence techniques in sentiment analysis on social media can provide great benefits in processing large amounts of data in a relatively short time, as well as recognizing certain patterns in the data. However, the use of artificial intelligence techniques in sentiment analysis on social media also has challenges, such as issues of accuracy, privacy and ethics. The implications of sentiment analysis on social media with AI techniques is a rapidly growing field of research and has various benefits for various sectors. Therefore, further research and development of AI technology is expected to help improve the quality of human life.
Co-Authors Ari Agus Supriyadi Haqun Baitika Ines Heidiani Ikasari Muhamad Derryanur Muhlis