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REKOMENDASI PEKERJAAN DARI PORTAL BURSA LOWONGAN KERJA MEMANFAATKAN FITUR COSINE SIMILARITY DAN SIMPLE ADDITIVE WEIGHTING (SAW)

Ningsih, Rahma (2018) REKOMENDASI PEKERJAAN DARI PORTAL BURSA LOWONGAN KERJA MEMANFAATKAN FITUR COSINE SIMILARITY DAN SIMPLE ADDITIVE WEIGHTING (SAW). Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Seeking information on job vacancy portals are use search engines tools that already contained on the service site. The search results by the system are based on the similarity of input queries, then the results are displayed with a sort model limited to hierarchical alphabets or numbers. So it takes a longer time to sort out the required information, because the results of information displayed by the system also contained some irrelevant information. Therefore is being necessary to develop other ranked models to recommend some information from the search results. Cosine similarity method in the implementation of the data accordance to query that inputted by user, and then applying a method of simple additive weighting as a ranked method for the retrive data of cosine similarity results. The system has excellent features too, namely the multilevel ranking model so users can define their own ranking rules by determining which criteria tends is dominant.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201210370311326
Keywords: Cosine Similarity, Simple Additive Weighting, Recommendation system, Ranked
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Sulistyaningsih Sulistyaningsih
Date Deposited: 08 Nov 2018 03:35
Last Modified: 08 Nov 2018 03:35
URI : http://eprints.umm.ac.id/id/eprint/39605

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