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All Journal Indonesian Journal of Electrical Engineering and Computer Science Bulletin of Social Informatics Theory and Application
Maulana, Fairuz Iqbal
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Computer Science & IT Social Sciences

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Twitter sentiment analysis about economic recession in indonesia Eka Putra, Fauzan Prasetyo; Maulana, Fairuz Iqbal; Akbar , Nawawi Muhammad; Febriantoro, Wicaksono
Bulletin of Social Informatics Theory and Application Vol. 7 No. 1 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v7i1.592

Abstract

As one of the most popular social media platforms, Twitter enables users to express their opinions on diverse concepts, products, and services. Large quantities of data shared as tweets can be mined for user feedback and used to improve the quality of products and services. Using Twitter data and social media sentiment analysis, tracking how people feel about the recession in real time is possible. As a consequence, relevant organizations or governments can take preventative measures against the disinformation and unlawful conduct caused by the effects of the recession. This study aims to determine if there is a correlation between how people on Twitter feel about the recession. This study's data acquisition utilized "Recession"-tagged Twitter remarks from 2023. This study analyses filtered tweets for sentiment, emotion, word usage, and trends. According to the findings, 94% of tweets had benign sentiments, 4% had positive sentiments, and 2% had negative sentiments. Tweets with moderate subjective valence cluster in the middle of the polarity scale (between 1 and +1), while tweets with strong subjective valence are dispersed throughout the scale
Introduction to Sumba’s traditional typical woven fabric motifs based on augmented reality technology Maulana, Fairuz Iqbal; Al-Abdillah, Bening Insaniyah; Pandango, Ruth Rade Awang; Djafar, Andini Putri Maharani; Permana, Frihandhika
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp509-517

Abstract

Sumba woven cloth is one of the points of pride in East Sumba and West Sumba. The process of making Sumba woven cloth is not easy, making the patterned cloth is really valuable. These various motifs have their own stories behind them. Sumba woven fabric is one of the cultural heritages that must be preserved. One way to preserve this cultural heritage is implementing technological developments, such as augmented reality (AR) technology on smartphones. The combination of culture and technology can play a role in preserving Indonesia's cultural diversity. In applying this technology, we use the analysis, design, development, implementation, and evaluation (ADDIE) method starting from the stages of analysis, design, development, implementation, and evaluation. In an implementation, there will be a woven fabric catalog book that becomes a marker to bring up a 3D model of Sumba woven fabric that has been knitted in the form of clothes. The results revealed that the shortest distance between the marker and the camera at which 3D objects may be displayed is 20 cm, and the marker's reading angle is just approximately 0°-45°. The average duration observed is 0.056 seconds, and the average speed obtained is 8.92 meters per second.
Co-Authors Akbar , Nawawi Muhammad Al-Abdillah, Bening Insaniyah Djafar, Andini Putri Maharani Fauzan Prasetyo Pandango, Ruth Rade Awang Permana, Frihandhika Wicaksono Febriantoro, Wicaksono