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Journal : Jurnal Manajemen Teknologi dan Sistem Informasi

Analisis Kualitas Layanan Website Pengadilan Negeri Jambi Dengan Metode Webqual 4.0 Donzon, Allbet; Istoningtyas, Marrylinteri
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 4 No 2 (2024): JMS Vol 4 No 2 September 2024
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2024.4.2.1959

Abstract

The Jambi District Court is a first-level judicial institution within the judicial system of Indonesia. The Jambi District Court's website provides various information, but it is possible that there are still issues or shortcomings, such as the website's less appealing design, the complaint service being difficult to understand, incomplete or insufficient information provided to users, the lack of responsiveness regarding complaints through external platforms (social media), and the limited information and discrepancies in the scheduled court hearings. Based on this background, this study aims to analyze user satisfaction levels with the Jambi District Court’s website using the WebQual 4.0 method. The study employs four variables: Usability Quality, Information Quality, Service Interaction Quality, and User Satisfaction. A total of 315 respondents who have used the Jambi District Court’s website participated in this study. The data was processed using SPSS 2.5 software. The results show that only one variable, Service Interaction, has a significant effect on satisfaction, while the other two variables, Usability Quality and Information Quality, do not have a significant impact on satisfaction.
Analisis Kepuasan Pengguna Aplikasi ChatGPT Menggunakan Metode E-Serqual (Studi Kasus : Mahasiswa/I Universitas Dinamika Bangsa) Mulyanto, Ade; Istoningtyas, Marrylinteri
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 4 No 2 (2024): JMS Vol 4 No 2 September 2024
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2024.4.2.1965

Abstract

The ChatGPT application provides natural language processing (NLP) technology capable of responding to human questions in the form of text (referred to as Prompts) typed into the application. The author conducted this research to determine the extent of the impact of user satisfaction on the ChatGPT application. The method used is the E-SERVQUAL method, with a sample of 360 respondents and data analysis performed using SPSS software. The results of the validity and reliability tests indicated that all data in this study were valid and reliable. The research findings show that out of the seven E-SERVQUAL variables, only five—Fulfillment, System Availability, Responsiveness, Compensation, and Contact—significantly affect user satisfaction with the ChatGPT application.