Artificial Intelligence for Data Visualization of Lancang Kuning University Library

Abstrak

Artificial Intelligence (AI) has a significant influence in various aspects. One of the impacts is the library. AI can be applied in various activities, such as data visualization, analysis of library usage trends, book recommendations based on user preferences, and predictions of future collection needs. It is hoped that the Lancang Kuning University Library can be more responsive to user needs and be able to provide excellent service. The method used is descriptive analysis. It aims to find factually relevant facts through data that is collected, processed, and analyzed. The steps of the method taken in the study are problem determination, literature study, data collection, data processing, data implementation, and data analysis. This study produces a description of the stages of library data visualization. There are three stages of library data visualization activities, namely; first, the database preparation stage, this stage is to prepare the dataset taken from SLiMS and service data; second, data processing, this activity is carried out for data filtering, then the data is stored in .xls file format before finally being visualized using Google Looker Studio. Third, visualizing data, data visualization using Google Looker Studio. Lancang Kuning University has initiated the implementation of AI in library data visualization. One of the initiatives is the development of an interactive dashboard that displays statistics on the use of library services in real time. This dashboard allows library managers to easily monitor book loans, daily visits, and other activities. The use of Artificial Intelligence (AI) technology for data visualization at the Lancang Kuning University Library is very significant in increasing the efficiency and effectiveness of information management in the form of statistics. By utilizing AI technology, libraries can present data more interactively and informatively, making it easier for users to access and understand the information available. This also helps library managers in monitoring and analyzing library usage, so that managers can make more informed decisions in developing collections and services.