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Opinion Mining on Chat GPT based on Twitter Users Nashrulloh, Muhammad Rikza; Julianto, Indri Tri; Muzaky, Rifky Khoerul
Journal of Applied Intelligent System Vol. 8 No. 2 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i2.8399

Abstract

The presence of Chatbots can assist humans in their everyday lives. Chat GPT is one of the commonly used Chatbots that humans rely on to support their work, serve as an assistant, or even create artistic works or writings. The purpose of this research is to investigate opinions regarding the presence of Chat GPT. This Opinion Mining method is conducted by crawling data from Twitter, which can be categorized into three opinions: Positive, Negative, or Neutral. To calculate the accuracy level of the model created, two algorithms, Naïve Bayes and K-Nearest Neighbour, are compared. The model validation process utilizes K-Fold Cross Validation by varying the value of k (k=2, k=4, k=6, k=8, and k=10) and different sampling methods, namely Linear, Shuffled, and Stratified, to obtain optimal accuracy values. The research results indicate that the K-Nearest Neighbour Algorithm achieves the highest accuracy value of 92.40%. Based on this comparison, the K-Nearest Neighbour Algorithm is deemed suitable for modeling Opinion Mining of Chat GPT. The distribution of Twitter users' opinion percentages regarding Chat GPT is as follows: Positive 9.4%, Negative 1.4%, and Neutral 89%. Neutral opinions dominate the results of the conducted Opinion Mining.Keyword : chat GPT, opinion mining, twitter
EVALUASI PEMETAAN WILAYAH DESA DAWUNGSARI DENGAN MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (SIG) Fatimah, Dini Destiani Siti; Muhtadin, Fauzan Azmi; R, Alvarizky Putra Kurniawan; Febrian, Rivan; Husaeni, Fachri Ahmad Al; Saputra, Muhamad Dzaki; Maridjan, Maula Muhammad; Fitriyani, Dila; Mustofa, Muhamad Zaenal; Diniyaturobiah, Hanipah; Muzaky, Rifky Khoerul; Resita, Rasty; Mujahid, Wildan; Mulyana, Abdurrahman; Rafiqi, Putri Aufa; Maulana, Rifki Ilham; Noviansyah, Ikhwan; Adawiyah, Alya; Khaerurijal, Fajar; Baasith, Azry Abdul; Ardhillah, Zian Zaky
Jurnal PkM MIFTEK Vol 6 No 1 (2025): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.6-1.1972

Abstract

Amidst the rapid development of urbanization and increasing population, the challenges in regional planning and management are increasingly complex, especially in rural areas such as Dawungsari Village. This study aims to map the distribution of small businesses and public facilities, such as places of worship, sports facilities, educational facilities, and other village infrastructure. Data were collected through direct observation and local sources, then visualized in the form of a regional map. This mapping provides a comprehensive representation of the distribution of public facilities and services in the village, and provides a basis for supporting more effective development planning. The evaluation shows that the mapping method used is able to produce relevant information for regional management, although there are constraints related to data accuracy and limited local resources.