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Pengaruh Kualitas Sistem Dan Kualitas Informasi Siakad Terhadap Kepuasan Pengguna Di Universitas Esa Unggul Tangerang Gusti Muhamad Sardana; Bartholomeus Dimanche Carl Beth; Vinsens Aji Pamungkas; Taufik Maulana; Muhammad Adi Zacky Zahran; Riya Widayanti
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 2 No. 2 (2024): MEI : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v2i2.1884

Abstract

This research aims to evaluate the impact of SIAKAD system and information quality on user satisfaction at Esa Unggul University, Tangerang. In this digital era, higher education institutions need to optimize information technology to support academic activities. Esa Unggul University has implemented SIAKAD for various academic purposes, including online registration, taking KRS, KHS, and accessing grades. However, there are still challenges such as slow access and inaccurate information. This research applies the SUS (System Usability Scale) method to measure system usability. A quantitative approach was used by conducting a survey of student users of SIAKAD. The findings show that system quality, especially the ease of use aspect, as well as information quality, especially accuracy, have a significant influence on user satisfaction. The level of user satisfaction is reflected in the high average score and positive perceptions of students regarding the effectiveness and efficiency of SIAKAD. However, there is still room for improvement, especially in the user interface and adding features that better support academic activities. The results of this research have important implications for Esa Unggul University in its efforts to improve the quality of SIAKAD to provide more optimal services to students.
Performance Evaluation of Flask-Based Telegram Chatbot with Local LLaMA3 Language Model Gusti Muhamad Sardana; Binastya Anggara Sekti
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The rapid advancement of digital technology has increased the demand for information delivery systems that are accurate and contextually relevant. This study aims to design and evaluate the performance of a LLaMA3-based chatbot integrated with the Telegram platform using the Flask framework. The development is driven by the need for digital information services capable of providing fast, relevant, and context-aware responses in the Indonesian language. The research methodology includes system configuration, API integration, and performance testing through measurements of Average Response Time (ART) and response quality assessment based on relevance, clarity, and completeness. Experimental results show that the chatbot achieves an average response time of 49.15 seconds and an average response quality score of 14.10 out of 15, indicating strong contextual understanding and high response relevance. These findings suggest that the chatbot system is feasible for use as an automated Indonesian-language information service. However, further optimization is necessary to improve processing speed for broader and more dynamic implementation scenarios.