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APLIKASI REKOMENDASI RUMAH MAKAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOUR (KNN) BERBASIS ANDROID (Studi Kasus : Kecamatan Banyuwangi)

Ardhiansyah, Edo (2018) APLIKASI REKOMENDASI RUMAH MAKAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOUR (KNN) BERBASIS ANDROID (Studi Kasus : Kecamatan Banyuwangi). Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Many tourists come and go to Banyuwangi City for nature, culture, and culinary trip. Many entrepreneurs are starting to cultivate the restaurant business because of the large number of tourists coming. The increasingly mushrooming of restaurant business in Banyuwangi city, making the food menu that is presented variously. Surely it will create confusion to choose which restaurants to visit. From the problem, the researcher made a recommendation system application to determine the location search for food based on price range category, food sauce, fried, baked, traditional food of Banyuwangi, and others. Implemented using android technology that makes it easier to access this application. This app can make location search easier, because of the Google Maps API facility that can show the location coordinate point. K-Nearest Neighbor Algorithm.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201210370311089
Keywords: K-Nearest Neighbour, Google Maps, Global Positioning System.
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: 05 Nov 2018 07:17
Last Modified: 05 Nov 2018 07:17
URI : http://eprints.umm.ac.id/id/eprint/39287

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