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All Journal Ceddi Journal of Information System and Technology (JST)
Ghama Wellyandi
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management

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Sentiment Analysis Regarding Kanjuruan Stadium Polemics Based on Public Opinion Through Twitter Social Media with SVM Classifier Method Ghama Wellyandi; Bayhaqy, Achmad Bayhaqy; Chandra; Efit Afandi; Rimah Abu Achmed
Ceddi Journal of Information System and Technology (JST) Vol. 2 No. 2 (2023): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v2i2.18

Abstract

Football fans are individuals who promote, motivate, and inspire football. Players of football clubs have both positive and negative fanaticism in both the real world and social media, especially on Twitter. Twitter is one of the communication media. Attracting people worldwide, Twitter saw a record increase in global users, with 313 million monthly active users in 2016 alone; the majority accessed Twitter through mobile devices, accounting for 82 percent of users. Due to the multitude of users tweeting, the latest news and comments become significant worldwide. What happens becomes the main topic, and comments received from many users trigger trending topics on Twitter. This research aims to develop a classification model to predict whether tweets from stadium events are positive or negative from fan perspectives. The classification model is based on a Twitter dataset, and sentiment analysis of tweets was conducted using the Support Vector Machine (SVM) algorithm. The next step involved preprocessing, including case-folding, cleansing, translation to English, and sentiment labeling using VADER. Subsequently, in the preprocessing step 2, tokenization, stopwords, and stemming were applied. For modeling, classic algorithms such as Naïve Bayes and Support Vector Machine were used. The highest accuracy, 87.77%, was achieved using the Support Vector Machine (SVM) algorithm.
Implementation of Load Balancing and Failover Network Using Fortinet SDWAN Technology at PT. Lintasarta Ghama Wellyandi
Ceddi Journal of Information System and Technology (JST) Vol. 1 No. 2 (2022): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v1i2.20

Abstract

An Internet Service Provider (ISP) is a company or entity that provides internet connection services and other related services. The complexity of distribution control from several ISPs causes problems, especially in the speed factor, which affects the costs that must be incurred by the company. Management company information is not only focused on price and speed, but also requires good security and data traffic management (Traffic Engineering/TE). One application that is able to meet these needs is Software Defined Wide Area Network (SD-WAN). SD-WAN is the latest technological network development paradigm, overcoming the challenges that exist in network mechanisms in TE. The results of this study can be used as a comparison of several ISPs so that it can be known which one is better or which one to choose. Based on the results of the data analysis, the following conclusions were obtained: 1) As for the jitter problem in the performance of SD-WAN technology, it has advantages over ordinary conventional networks that do not use sdwan technology; 2) Regarding the delay/latency of internet service providers, SD-WAN has advantages over ordinary conventional networks and 3) With respect to packet loss, SD-WAN internet service providers have an advantage over ordinary conventional networks.
Co-Authors Bayhaqy, Achmad Bayhaqy Chandra Efit Afandi Rimah Abu Achmed