KURNIAWAN, MUHAMMAD AZIZ and Heroza, Rahmat Izwan (2020) SISTEM INFORMASI APARTEMEN UNSRI REKOMENDASI TEMAN SEKAMAR MENGGUNAKAN METODE ALGORITMA COSINE SIMILARITY. Undergraduate thesis, Sriwijaya University.
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Abstract
Sriwijaya University, one of the state tertiary institutions in Indonesia, has students from various regions throughout Indonesia, therefore students who are far from their places of origin need a place to stay during their lectures. Unsri Apartment is a residential facility provided by the University to be one of the favorite choices of students with its advantages, on the other hand Unsri Apartments has shortcomings such as a manual registration system, data collection which is often wrong, students who are reluctant to be paired with new roommates for some reason , so that one room is often filled with one person, which is not in accordance with the provisions of the Unsri apartment, besides the Unsri apartment also does not provide a medium for residents to be able to express their aspirations and complaints online. By utilizing information technology in the form of information systems and combining Cosine Similarity algorithm, which is an algorithm to calculate similarity (level of similarity) between two objects that can overcome various problems in Unsri's apartment and produce accurate roommate recommendations based on occupant criteria.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Apartments, Cosine Similarity, Recommendation Systems, Information Systems. |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.6 General works Industrial engineering Information technology. Information systems (General) Management information systems -- Continued T Technology > T Technology (General) > T58.6-58.62 Management information systems |
Divisions: | 09-Faculty of Computer Science > 57201-Information Systems (S1) |
Depositing User: | Users 6161 not found. |
Date Deposited: | 16 Jun 2020 04:36 |
Last Modified: | 16 Jun 2020 04:36 |
URI: | http://repository.unsri.ac.id/id/eprint/30379 |
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