Aufa Athallah, Muhammad (2020) Pengembangan Aplikasi Android Rekomendasi Gym Di Malang Dengan Group Decision Support System Dan Location Based Service. Sarjana thesis, Universitas Brawijaya.
Abstract
Gym, juga dikenal sebagai gimnasium, adalah lokasi tertutup untuk orang – orang yang ingin menjaga kebugaran. Banyaknya mahasiswa dan warga di kota malang ini mejadi kan tempat yang ideal untuk membuka usaha gym. Tetapi, banyak nya lokasi gym di kota malang membuat mahasiswa dan warga kebingungan untuk memilih lokasi gym yang ingin di sewa. Ignasius Tri telah mengembangkan aplikasi untuk memberikan rekomendasi lokasi gym. Aplikasi tersebut mampu memberikan rekomendasi gym berdasarkan nilai bobot kriteria jarak, harga, dan rating yang diberikan oleh pengguna. Namun, masalahnya adalah aplikasi tersebut hanya mampu menerima masukan dari satu pengguna saja dan mengunjugi gym terkadang dilakukan dengan berkelompok. Pengembangan aplikasi android rekomendasi gym di maIang dikembangkan menggunakan Group Decision Support System dan Location Based Services berbasis android dengan algoritma Topsis (Technique for Order Preference by Similarity to ldeal SoIution) dan Borda dengan kriteria berupa jarak antara pengguna dengan Lokasi gym, harga sewa gym, dan rating gym. Data di simpan dalam Google firebase. Berdasarkan pengujian yang dilakakuan, Hasil dari pengujian Blackbox aplikasi bernilai 100% dan fungsionalitas dinyatakan valid. Pengujian viladasi algoritma menghasilkan nilai yang 100% sama. Pengujian usability menghasilkan nilai 79.5 menunjukkan penilaian Good untuk adjective rating serta peringkat grade C pada percentile rank
English Abstract
Gym, also known as a gymnasium, is a closed location for people who want to maintain fitness. The number of students and residents in Malang city is the ideal place to open a gym. However, many gym locations in the city of Malang make students and citizens confused to choose the location of the gym they want to rent. Ignasius Tri has developed an application to provide recommendations for gym locations. The application is abIe to provide gym recommendations based on weight values from distance, price, and rating criteria given by the user. However, the problem is that the application is onIy abIe to accept input from one user and visiting the gym is sometimes done in groups. Development of a gym recommendation android application in Malang was developed with an Android- based Group Decision Support System and Location Based Services with TOPSIS (Technique for Order Preference by SimiIarity to ldeaI SoIution) and Borda algorithms with criteria in the form distance between the user and gym location, rental prices, and rating. Data is stored in Google firebase. Based on the tests carried out, the results from the Blackbox application test are worth 100% and the functionality is declared valid. The algorithm's viladation testing yields the same 100% value. The usability test yields a value of 79.5 indicating a Good rating for the adjective rating and a grade C grade on the percentile rank.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | 0520150250 |
| Uncontrolled Keywords: | gym, TOPSIS, borda, GDSS, LBS, android,Google firebase.,gym, TOPSIS, borda, gdss, lbs, android, Google Firebase. |
| Subjects: | 600 Technology (Applied sciences) > 621 Applied physics > 621.3 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Unnamed user with username nova |
| Date Deposited: | 30 Aug 2022 04:20 |
| Last Modified: | 30 Aug 2022 04:23 |
| URI: | http://repository.ub.ac.id/id/eprint/193796 |
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