This research aims to design medicine information based on the ontology scheme and to display the relationship between information through chatbot as search media. The diversity of information does not guarantee to gather a relevant search result with user’s needs. A conventional search engine would be substantially beneficial in information searching yet could not able to comprehend meaning of found information and its relationship with other information. However a machine could understand the relationship and the meaning of information through the implementation of semantic technology, which is ontology. Ontology is implemented to represent semantic metadata information. The information designed with the ontology model would be very assistive in searching for data which is relevant to users’ need. The result of implementing ontology as a knowledge base in this research able to display the information of a disease and its relationship with medicine used as the medication for such a particular disease. The evaluation of our system shows that 90% of queries from users generate a valid response from the chatbot. Therefore, this research could be used as a reference in search of medical information and describe its relationship with a particular disease or related to medicine.

Performance is something that will be achieved at the institute. Everyone has different abilities in doing a task. Placement of an office position does not always result in satisfactory performance. Giving an assignment to people who are not qualified in their field will cause problems in the future. This problem arises from the inability of the person to overcome and complete the assignment. Position balancing is a terrible thing facing every institution. Many of the criteria that should be assessed for a person can be put in a specific position. Manual calculations will hinder the accuracy of employee placement in the company. The Gale-Shapley algorithm can solve this problem well by the expected criteria in a particular position. This algorithm determines the position of work based on the desire of the institution and the ability of the worker. The interchange between employees will occur if the weight changes. The optimal person will fill each job position in the field of work. Stable Matching will be implemented, and the institution will have qualified employees.