Academic Smart Chatbot to Support Emerging Artificial Intelligence Conversation

The increasing workload and the number of academic information needs in the campus environment make the academic part of the stress. The addition of students and plans for additional study programs that will continue to be carried out by universities make academic staff tired and slow to work because they cannot provide fast and appropriate services to students and the academic community. Artificial Intelligence (AI) based chatbot technology is present to help perform specific tasks similar to academic officers. With the KNearest Neighbor (K-NN) method, the highest K value in the third class is 55.70 percent. This value explains that problems related to text classification can be solved on K-NN and give good results. In this evaluation, customer response times were significantly shorter when using chatbot technology compared to response times before using them. In addition, the work done by academic staff began to decrease, while the accuracy of chatbots remained at 100 percent in tests that compared chatbots with academic staff. Therefore, the evaluation results show that chatbots effectively increase efficiency in handling customer inquiries. There were 62 respondents consisting of 13.8 percent of lecturers, 9.2 percent of staff, and 76.9 percent of students who implemented chatbots. Testing of chatbot technology includes ability, consistency, responsibility, and performance. The validity test uses a significance level of 5 percent. The test results found that the level of influence of the use of chatbot technology by users in obtaining academic information was more reliable, with the acquisition of the Cronbach Alpha value of 0.82. A solution offered for the academic community and the academic community to access services more quickly and practically by using a chatbot. Chatbots can also reduce the workload of academic staff and affect the quality of service in universities to be more optimal.