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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Community Empowerment
Wulandari, Sania
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Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Public Health Social Sciences

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Analisis Sentimen Masyarakat Indonesia Terhadap Pengalaman Belanja Thrifting Pada Media Sosial Twitter Menggunakan Algoritma Naïve Bayes Wulandari, Sania; Hasan, Firman Noor
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7520

Abstract

Thrifting is an increasingly popular second-hand shopping activity in Indonesia, especially among millennials and generation Z as a cost-saving shopping alternative. Thrifting activities have a clear positive impact on the Indonesian people in protecting the environment by reducing the purchase of new goods. However, thrifting is considered illegal and can harm the domestic textile industry. So sentiment analysis needs to be done to find out how people respond to thrifting activities. This study aims to calculate the number of positive and negative comments from Twitter users, and find out how accurately the Naïve Bayes algorithm is used in the classification. The data used is taken from Twitter social media as many as 900 tweets, then processed through several advanced stages such as pre-processing which consists of cleansing, tokenize, and filter stopwords. Then at the labeling stage the data is divided into training data and test data with a ratio of 60:40. After being classified using the Naïve Bayes algorithm, the results obtained tend to be positive with a total of 368 positive comments and 181 negative sentiments. After going through the evaluation stage, the accuracy value is 95.92%, the precision value is 95.76%, and the recall value is 97.41%. The evaluation results show that the Naïve Bayes algorithm is proven to have a high level of accuracy used in classification.
Empowering communities for sustainable organic waste management: A composter-based approach Ramadhani, Farah Salsabila; Maydida, Tiara Dzaky; Widiatmoko, Julian Anindito; Setiyaningsih, Hana; Astri, Anisa Muktidena Mutiara; Marshanda, Angela Rike; Wulandari, Sania; Hasanah, Uswatun; Anggraeni, Aura Kharisma Anggun; Andrian, Budi Wahyu; Achyana, Muchammad Arfan; Mahardhika, Welly; Mardiyah, Siti; Purba, Anirawilda
Community Empowerment Vol 10 No 6 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.13145

Abstract

Poorly managed organic waste often accumulates, becoming a significant source of pollution. A major challenge is the low utilization rate of waste management facilities. This ongoing issue of organic waste has negative impacts on both public health and quality of life. This initiative aimed to enhance community awareness of waste management and provide guidance on creating composter tools as a solution for organic waste management. The methods employed included waste management sensitization focusing on waste segregation, alongside training on composter construction and usage. Evaluation results indicate that 93% of participants understood the importance of waste segregation, and 93% were able to construct a simple composter after the activity. This program can serve as a sustainable model for waste management, particularly organic waste, at the hamlet level.
Co-Authors Achyana, Muchammad Arfan Andrian, Budi Wahyu Anggraeni, Aura Kharisma Anggun Astri, Anisa Muktidena Mutiara Firman Noor Hasan Marshanda, Angela Rike Maydida, Tiara Dzaky Purba, Anirawilda Ramadhani, Farah Salsabila Setiyaningsih, Hana Siti Mardiyah Uswatun Hasanah Welly Mahardhika Widiatmoko, Julian Anindito