Analisis Tingkat Kepuasan Pengguna Aplikasi ChatGPT Menggunakan Metode PIECES

Abstract

The rapid development of information technology has had a significant impact on various aspects of life, including education and access to information. One innovation that has attracted global attention is ChatGPT, a text-based artificial intelligence system that is growing in popularity due to its ability to provide quick and relevant information. This study aims to evaluate the level of user satisfaction with ChatGPT at SMA Muhammadiyah 2 Tangerang using the PIECES method (Performance, Information, Economy, Control, and Service). This study employs a quantitative descriptive approach using the PIECES method to analyze the level of user satisfaction with the ChatGPT application at SMA Muhammadiyah 2 Tangerang. Data was collected through a closed questionnaire with a Likert scale, observation, and literature review. The research sample consisted of 87 respondents selected using purposive sampling based on specific criteria. Data analysis was conducted using IBM SPSS 22.0, including validity and reliability tests, as well as descriptive statistical analysis to objectively describe the research results. The research results indicate that most variables in the PIECES method fall into the satisfied category, with an average user satisfaction score of 4.550. Five variables—Performance, Information, Economy, Control, and Service—are in the satisfied category, while Efficiency is in the very satisfied category. These findings indicate that the PIECES method is effective in analyzing ChatGPT user satisfaction at SMA Muhammadiyah 2 Tangerang.