<![CDATA[PT. ABC is a company engaged in the management of labor services (Outsourcing). The decision making process the recruitment conducted by PT. ABC is currently underway manually by receiving a letter of application, the selection of the assessment interviews as well as invoking the applicants. It is quite difficult because the number of workers who are interested to acquire quite a lot of work, so that the admissions process becomes less efficient and no maximum. This research will be designed hiring decision support system with K-Means Clustering method based on web. The system design is expected to help the company in making the decision to employee selection. Outcomes of this research is the design of a decision support system of recruitment. With this system applicants can apply online. The system will perform a cluster of employees into categories based on predetermined criteria of each - each field of work as Staff Media Content Development, Cloud Solution Architect, Cloud Service Engineer. The method used in this research that K-Means Clustering. Concept planning and design of the system is done with Context analysis diagrams, Data Flow Diagrams (DFD), Entity Relationship Diagram (ERD).]]>
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