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All Journal KLIK: Kajian Ilmiah Informatika dan Komputer International Journal of Community Service Implementation
Shabrina Rasyid Munthe
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Computer Science & IT Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Analisis Klasifikasi Teks Pada Kata Slang di Media Sosial Menggunakan Pengolahan Bahasa Alami untuk Trending Topik Shabrina Rasyid Munthe; Sudi Suryadi; Fadhil Laksono
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2018

Abstract

This study aims to analyze trending topics related to the use of slang words on social media by utilizing natural language processing (NLP) techniques. The main focus of this research is to understand the patterns and trends of slang use on social media platforms, which can uncover important social and linguistic dynamics. The dataset used consisted of  tweets in Indonesia and United Kingdom containing slang words, collected from Twitter over a six-month period. The analysis process begins with data cleansing to eliminate irrelevant elements, followed by tokenization and lemmatization to normalize the text. Furthermore, the Support Vector Machine (SVM) and Random Forest classification models are applied to detect and classify slang words in the dataset. The results show that the SVM model achieves a slang detection accuracy of 88% with an F1-score of 0.87, while the Random Forest model achieves an accuracy of 85% with an F1-score of 0.84. Further linguistic analysis showed that 60% of slang words are most commonly used in informal contexts such as everyday conversation, while the other 40% are related to popular culture trends, including music, movies, and fashion. In addition, these findings indicate that there is a variation in the use of slang between Indonesian and United Kingdom-speaking Twitter users, where slang in Indonesian tends to be more creative and contextual, while in United Kingdom it is more standardized and spread globally. This study confirms the effectiveness of both models in classifying slang words as well as identifying key trends in their use on social media. The contribution of this research is important for the study of digital linguistics because it expands the understanding of the dynamics of online slang use, and shows the great potential of NLP applications in linguistic analysis in the digital age. With the results obtained, this research can be a valuable guide for researchers and practitioners interested in understanding the evolution of language on social media, while providing a foundation for the development of more sophisticated and adaptive NLP technologies in handling language variations on digital platforms.
Strengthening Digital Literacy And Business Law To Maximize The Potential Of Village Communities Ibnu Rasyid Munthe; Novi Fitriandika Sari; Bhakti Helvi Rambe; Fauziah hanum; Nur’Ainun gulo; Ade trya amanda; Shabrina Rasyid Munthe
International Journal of Community Service Implementation Vol. 3 No. 3 (2025): IJCSI DECEMBER 2025
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijcsi.v3i3.436

Abstract

Community service activities in Afdeling 1 Rantauprapat Village, which will be held in August 2025, aim to improve digital literacy skills, strengthen business legality, and optimize the potential of local assets to strengthen the community's economy. This program is implemented using the Asset-Based Community Development (ABCD) approach, which emphasizes the development of internal community strengths through the use of existing social, economic, and cultural assets. The activity process was carried out for one month by involving ten participants consisting of business actors, village officials, and students who acted as facilitators through the service-learning method. Activities include practical digital literacy training, business legality assistance through the Online Single Submission (OSS) system, and the establishment of a collaborative network between participants and related institutions. The results showed a significant increase in the participants' ability to utilize digital technology for product promotion and sales, with an average increase in turnover of 25% and a participation rate of 95%. In addition, this activity has a positive impact on increasing confidence, legal awareness, and women's active involvement in productive economic activities. The application of the ABCD method has proven effective in strengthening social solidarity, building trust between stakeholders, and creating empowerment models that can be replicated in other regions with similar socioeconomic characteristics.
Co-Authors Ade trya amanda Bhakti Helvi Rambe Fadhil Laksono Fauziah Hanum Ibnu Rasyid Munthe Novi Fitriandika Sari Nur’ainun Gulo Suryadi, Sudi