ANINDYAPUTRI, Arlieza and Suseno, Jatmiko Endro and Widodo, Catur Edi (2020) SISTEM INFORMASI PENENTUAN DAERAH TUJUAN DAN PENGENALAN OBYEK WISATA DENGAN METODE CLUSTERING K-MEANS DAN ELECTRE. Masters thesis, School of Postgraduate Studies.

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Abstract

Pariwisata saat ini sedang gencar-gencarnya di berbagai kalangan. Masyarakat berbagi info melalui media sosial dengan mengunggah foto objek wisata. Adapun kendala masyarakat dalam pencarian objek wisata di suatu kota yang di kunjungi dari segi jarak, fasilitas yang ada di tempat wisata dan harga tiket masuk yang belum diketahui informasinya di dalam media sosial. Pada Decision support system, terdapat beberapa metode dalam menyelesaikan permasalahan ini yaitu salah satunya metode Clustering dan Elimination Et Choix Traduisant la Realite atau sering disebut dengan Electre. Metode Clustering sangat di perlukan dalam penambangan data suatu permasalahan multikategori. Menggabungkan data dalam suatu kelompok adalah suatu masalah yang penting dalam memaknai data tersebut dan diperlukan algoritma data efisien, Sedangkan metode Electre dalam sistem dapat membantu menganalisis data dan mengambil keputusan untuk berwisata sesuai dengan estimasi jenis objek wisata, fasilitas wisata, jarak dari pusat kota, tiket masuk lokasi wisata dan menghasilkan rekomendasi wisata.
Kata kunci : sistem pendukung keputusan, data mining, k-means, Electre, wisata

Tourism is currently being vigorous in various circles. The community really this idea of sharing info through social media with upload tourism objects of photos which are the creations. As for the constraints of society in search of tourism objects in a town in visit in terms of the distance , the existing facilities at tourism place and the price of admission which has not known the information in social media. In Decision support system, there are several methods in solving this problem is one of Clustering method and Electre method. Clustering method is needed in the mining of data a multicenter problem. Combining data in a group is an important problem in interpreting the data and efficient data algorithm is needed, while the Electre method in the system can help analyze data and make decisions to travel in accordance with the estimation of types of attractions, tourist facilities, distance from the city center, tickets enter the tourist sites and produce tourist recommendations.
Keywords : decision support system, data mining, k-means, Electre, tourism

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