Application of Jaro-Winkler Algorithm for Talent Search Services at Startup Talentku Using Website-Based Crowdsourcing Concepts

Abstract

Talentku is one of the startups in the field of talent services as a media liaison for students who have talent academic and non-academic talent with seekers. There are currently no application providers of all types of talent services in the education environment, so some talent service seekers have difficulty finding all types of talent. In the talent search process, the data displayed in the system does not match the keywords entered by the user so the user must fill in the talent category and must think of the right keywords so that the data appears according to what is needed. The solution for this problem is the Implementation of Jaro-Winkler's Algorithm Application to Search Talent Services at Startup Talentku Using Website-Based Crowdsourcing Concepts. Jaro-Winkler's algorithm in the search system and the concept of crowdsourcing within the Scrum framework can help talent seekers hire talent services. The results showed that the availability of talent service applications in the educational environment, as a bridge between talent service seekers and talent owners in ordering talent services with the concept of crowdsourcing. Through the application of the Jaro-Winkler Algorithm based on the inputted keywords, can provide information about easily identified talent services.

Keywords: Talentku, Talent Service, Talent, Jaro-Winkler Algorithm, Crowdsourcing, Scrum