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All Journal INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Bulletin of Social Informatics Theory and Application
Maulana, Fairuz Iqbal
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Environmental Science 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
Implementing Wood Waste Upcycling into Smart Side Tables for Indoor Air Quality Surveillance Pramono, Andi; Maulana, Fairuz Iqbal; Rosyidah, Elsa; Kurniawan, Bambang Kartono; Purnomo, Agung; Mohamed, Mustafa; Ezran, Muhamad
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 9, NUMBER 1, APRIL 2026
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v9i1.24119

Abstract

Aim: The study aims to design and develop a bedside table using recycled wood and plywood waste while incorporating an indoor air quality (IAQ) monitoring system to improve indoor environmental health within the context of interior design innovation. Methodology and results: The study employs a qualitative design thinking approach, following the five key stages: empathize, define, ideate, prototype, and test. The bedside table is developed using upcycled wood waste and features an integrated IAQ monitoring system based on Arduino Nano's technology. The system includes DHT11 sensors for temperature and humidity monitoring and additional sensors for detecting CO and CO₂ levels. The results demonstrate that utilizing wood waste in furniture production effectively reduces landfill dependency while contributing to sustainable material use. Moreover, the embedded IAQ monitoring system enhances user awareness of indoor environmental conditions, supporting healthier living spaces. This research demonstrates the feasibility of integrating sustainable design and technological innovation to address environmental and health challenges in furniture interior design. The study enhances resource efficiency by repurposing wood waste into functional furniture while improving indoor air quality through smart monitoring technology. Conclusions, Significance, and Impact Study: The findings highlight the potential of smart furniture in promoting sustainability and health-conscious living. This study provides a practical framework for future furniture designs that support ecological responsibility and user well-being. This research sets a foundation for innovative product development in the furniture industry by bridging sustainable materials with IoT-based monitoring.
Co-Authors Agung Purnomo Akbar , Nawawi Muhammad Andi Pramono Elsa Rosyidah Ezran, Muhamad Fauzan Prasetyo Kurniawan, Bambang Kartono Mohamed, Mustafa Wicaksono Febriantoro, Wicaksono