IMPLEMENTASI METODE COLLABORATIVE FILTERING UNTUK REKOMENDASI CO-WORKING SPACE

DEWI, HERLISA (2020) IMPLEMENTASI METODE COLLABORATIVE FILTERING UNTUK REKOMENDASI CO-WORKING SPACE. S1-Sarjana thesis, Universitas Mercu Buana Jakarta.

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Abstract

The creative economy in Indonesia continue to indicate the increase, one of which is a startup business as evidenced by startup to reach 992 startup, these are dominated by the area of Jabodetabek totalling as many as 522 startup, Sumatra 115, East Java as much as 113, Yogyakarta as many as 54 and was followed by other cities. The startup or freelancers have difficulty in finding and determine the co-working space that suits your wishes because the website co-working space are reserved only for co-working space itself so that when the user wants to compare prices or facility with co-working space that other users need to open all websites of the working space of the other. This research aims to help startup or freelancers in the search for and determine the co-working space that fits the criteria using the method of collaborative filtering. Collaborative Filtering is a method to provide recommendations based on the results of the rating of the other users who have the same behavior. Collaborative filtering method used is the item-based collaborative filtering. This research starts from the data collection process by means of a detailed questionnaire distributed to respondents, needs analysis, system development phase, reports the results of research, and the creation of the journal. The results of this research, namely a website that consists of a collection of co-working space that is in Jabodetabek area so it can make it easier for users to find and determine the co-working space in one website. Key words:co-working space, collaborative filtering, item-based, rating. Ekonomi kreatif di Indonesia terus menunjukan peningkatan, salah satunya adalah bisnis startup yang terbukti dari banyaknya startup yang mencapai 992 startup, jumlah tersebut didominasi oleh kawasan Jabodetabek yang berjumlah 522 startup, Sumatera sebanyak 115, Jawa Timur sebanyak 113, Yogyakarta sebanyak 54 dan diikuti oleh kota-kota lainnya. Para startup atau freelancer mengalami kesulitan dalam mencari dan menentukan co-working space yang sesuai dengan keinginan dikarenakan websiteco-working space yang ada saat ini hanya diperuntukkan untuk co-working space itu sendiri sehingga apabila pengguna ingin membandingkan harga atau fasilitas dengan co-working space yang lain maka pengguna perlu membuka semua website dari co-working space yang lain. Penelitian ini bertujuan untuk membantu startup atau freelancer dalam mencari dan menentukan co-working space yang sesuai dengan kriteria menggunakan metode collaborative filtering. Collaborative Filtering merupakan metode untuk memberikan rekomendasi berdasarkan hasil rating dari pengguna yang lain yang memiliki tingkah laku yang sama. Metode collaborative filtering yang digunakan adalah item-based collaborative filtering. Penelitian ini dimulai dari proses pengumpulan data dengan cara membagikan kuisioner kepada responden, analisa kebutuhan, tahap pengembangan sistem, laporan hasil penelitian, dan pembuatan jurnal. Hasil dari penelitian ini yaitu sebuah website yang terdiri dari kumpulan co-working space yang ada di kawasan Jabodetabek sehingga dapat memudahkan pengguna dalam mencari dan menentukan co-working space dalam satu website. Kata Kunci: co-working space, collaborative filtering, item-based, rating.

Item Type: Thesis (S1-Sarjana)
Call Number: SIK/18/19/102
NIM: 41815110013
Uncontrolled Keywords: co-working space, collaborative filtering, item-based, rating.
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 020 Library and Information Sciences/Perpustakaan dan Ilmu Informasi > 025 Operations, Archives, Information Centers/Operasional Perpustakaan, Arsip dan Pusat Informasi, Pelayanan dan Pengelolaan Perpustakaan > 025.5 Service to Users/Layanan Kepada Pengguna Perpustakaan > 025.52 Reference and Information Services/Layanan Referensi dan Informasi > 025.523 Cooperative Information Services/Layanan Informasi
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 020 Library and Information Sciences/Perpustakaan dan Ilmu Informasi > 025 Operations, Archives, Information Centers/Operasional Perpustakaan, Arsip dan Pusat Informasi, Pelayanan dan Pengelolaan Perpustakaan > 025.5 Service to Users/Layanan Kepada Pengguna Perpustakaan > 025.52 Reference and Information Services/Layanan Referensi dan Informasi > 025.524 Information Search and Retrieval/Pencarian dan Temu Kembali Informasi
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 070 Documentary Media, Educational Media, News Media, Journalism, Publishing/Media Dokumenter, Media Pendidikan, Media Berita, Jurnalisme, Penerbitan > 070.1-070.9 Standard Subdivisions of Documentary Media, Educational Media, News Media, Journalism, Publishing/Subdivisi Standar Dari Media Dokumenter, Media Pendidikan, Media Berita, Jurnalisme, Penerbitan > 070.4 Journalism/Jurnalisme, Jurnalistik, Pers > 070.44 Features and Special Topics/Fitur dan Topik Khusus > 070.444 Miscellaneous Information, Advice, Amusement/Berbagai Macam Informasi, Saran, Hiburan
Divisions: Fakultas Ilmu Komputer > Sistem Informasi
Depositing User: Virda Syifa
Date Deposited: 06 Mar 2020 08:06
Last Modified: 06 Mar 2020 08:06
URI: http://repository.mercubuana.ac.id/id/eprint/51385

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