Journal of Computing and Applied Informatics (JoCAI) Vol. 5, No.1, 2021 |11 – 17 DATA SCIENCE Journal of Computing and Applied Informatics *Corresponding author at: Program Studi Sistem Informasi, Universitas Sriwijaya, Indralaya, South Sumatera E-mail address: rahmatheroza@unsri.ac.id Copyright © 2021 Published by Talenta Publisher ISSN: 2580-6769 | e-ISSN: 2580-829X | DOI: https://doi.org/ 10.32734/jocai.v5.i1-5112 Journal Homepage: https://jocai.usu.ac.id Expertise Locator For Lecturers Based on Publication Rahmat Izwan Heroza 1 , Haniifah Putriani 2 , Ahmad Rifai 3 , and Putri Eka Sevtiyuni 4 1,2,4 Information Systems Department, Universitas Sriwijaya, Indralaya Ogan Ilir 3 Computerized Accounting Department, Universitas Sriwijaya, Indralaya Ogan Ilir Abstract. Among the KM processes that function to guarantee access to knowledge is knowledge sharing. This process allows knowledge assets and experiences possessed by the organization to be accessed by anyone in the organization. Especially by using IT, this process can be done more optimally by capturing existing knowledge into a system so that this valuable information can be monitored anytime and anywhere. There are times when the knowledge possessed by experts is difficult to capture and represent in the system as in the case of tacit knowledgesuch as instincts, insights, and experiences of the experts. One of the challenges in inventorying these experts is the process of creating expert profiles automatically based on a particular approach. This research create an Expert Locator for lecturers who are considered as experts in their field of research using publication data produced by these lecturers as an indication of their expertise. The search feature is made as an implementation of the extraction results that can be used by other parties to find experts by entering keywords in the form of the desired expertise. Keywords: expertise locator, knowledge, lecturer, publication Received 9 November 2020 | Revised 27 January 2021 | Accepted 31 January 2021 1 Introduction Knowledge Management (KM) has an important role in improving performance in various types of organizations, ranging from government [1] , education [2] - [4] , health [5] - [7] , etc. Among the KM processes that function to guarantee access to knowledge is knowledge sharing [8] . This process allows knowledge assets and experiences possessed by the organization to be accessed by anyone in the organization. Especially by using IT, this process can be done more optimally by capturing existing knowledge into a system so that this valuable information can be monitored anytime and anywhere. However, there are times when the knowledge possessed by experts is difficult to capture and represent in the system as in the case of tacit knowledge, an abstract knowledge stored in the head of an expert in the form of instincts, insights, and the like [8] . For this type of knowledge, a more appropriate way is not to elicit them. Instead we identify the experts that the organization has so that the knowledge finder can directly connect with the expert (expertise