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All Journal Journal of Software Engineering and Information System (SEIS) Jurnal Riset Sistem dan Teknologi Informasi
Iriene Putri Mulyadi
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Evaluasi Sentimen Pengguna ChatGPT Menggunakan Naive Bayes: Tinjauan dari Confusion Matrix dan Classification Report Dianda Rifaldi; Tri Stiyo Famuji; Bella Okta Sari Miranda; Fauzan Purma Ramadhan; Iriene Putri Mulyadi; Vanji Saputra6; Fanani, Galih Pramuja Inngam
Jurnal Riset Sistem dan Teknologi Informasi Vol. 3 No. 2 (2025): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA)
Publisher : Universitas Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/restia.v3i2.1990

Abstract

The development of artificial intelligence (AI) technology, particularly in natural language processing (NLP), has led to various innovations, including ChatGPT. Its growing popularity highlights the need for user sentiment analysis. This study evaluates user sentiment toward ChatGPT using the Naive Bayes algorithm. The dataset, obtained from Kaggle, consists of 500 labeled English tweets categorized as positive, neutral, or negative. The process involved text preprocessing, TF-IDF feature extraction, data splitting (80% training, 20% testing), and model training. The results show an accuracy of 56%, with the highest f1-score in the negative class (0.67) and the lowest in the neutral class (0.38). The model exhibits classification imbalance, with high precision but low recall in the neutral class, and high recall but low precision in the positive class. The confusion matrix further confirms frequent misclassifications between classes. These findings reflect the limitations of Naive Bayes in handling contextual relationships in text data. Improvements can be achieved through data balancing, enhanced NLP-based feature representation, and the application of more complex classification algorithms.
PERANCANGAN SISTEM INFORMASI AKADEMIK BERBASIS WEB PADA MTSN 5 MUARO JAMBI Ramadhan, Fauzan Purma; Dianda Rifaldi; Iriene Putri Mulyadi; Vanji Saputra
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 2 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i2.9611

Abstract

The manual management of academic data has the potential to cause various obstacles, such as delays in grade distribution, data duplication, and input errors. This study aims to design a web-based academic information system at MTsN 5 Muaro Jambi as a solution to these problems. The system was developed using the Waterfall method with the PHP programming language and a MySQL database. The database design was carried out in a structured manner to support the integrity and efficiency of academic information management. The novelty of this study lies in the integration of grade management, attendance, and schedule features into a single web-based platform, which has never been implemented before at MTsN 5 Muaro Jambi. The system was designed to involve three main actors: the admin as data manager, teachers as data managers, and students as recipients of online academic information. The implementation results showed that the system was able to improve recording accuracy, accelerate information distribution, and support academic data transparency. Testing using the blackbox testing method proved that the system's main functions ran as needed, while user acceptance trials involving teachers, students, and administrative staff showed the system was easy to use and useful in supporting the academic process.
Co-Authors Bella Okta Sari Miranda Dianda Rifaldi Fanani, Galih Pramuja Inngam Fauzan Purma Ramadhan Ramadhan, Fauzan purma Tri Stiyo Famuji Vanji Saputra Vanji Saputra6