Tourism Trend Mapping Based on Social Media Using SAW Algorithm

Maulana, Muhammad Azka; Habib, Muhammad Alhada Fuadilah; Setyanto, Arief; Oktavia,

doi:10.1088/1742-6596/1140/1/012041

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…The step that needs to be done is to change the crisp numbers into fuzzy numbers (fuzzification), with the following groupings Low (1,1,3), Medium (1,3,5), and High (3,5,5). Fuzzification results can be seen in Table 2.…”

Section: Resultsmentioning

confidence: 99%

“…The method used is Simple Additive Weighting (SAW) with fuzzy additions to help solve uncertain problems. The basic concept of the SAW method is to find the weighted sum of the performance ratings for each alternative in all attributes [5]- [7]. The advantage of the SAW method is to make a more precise assessment because it is based on predetermined criteria and weight values [8]- [11].…”

Section: Introductionmentioning

confidence: 99%

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Recommendation of Yogyakarta tourism based on simple additive weighting under fuzziness

Utomo¹

2021

joscex

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Tourists who do not understand the situation or the desired tourist attraction can choose tour and travel services. Tour and travel provide a choice of tour packages with various variations. Determining the right tour and travel package and agency can benefit tourists, both in terms of financial and vacation quality. The data used in this study were obtained from several Tour and Travel agents. There are several variables used, namely the price of the package, the number of participants, and the number of facilities obtained. The method used in this study combines the Triangular Fuzzy Number (TFN) and the Simple Additive Weighting (SAW) method. The purpose of this study is to help tourists determine the most profitable or best packages. The results of this study obtained the best 2 packages recommended for tourists to choose.In the SAW calculation, it can be seen that packages that have a preference value above 0.7 are highly recommended to be selected. Meanwhile, preference values above 0.6 to 0.7 are still considered to be selected, because they have an advantage in one of the criteria. For preference values below 0.6, it is not recommended to choose because the package is too expensive and not worth what you get.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Recommendation of Yogyakarta tourism based on simple additive weighting under fuzziness

Utomo¹

2021

joscex

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“…Website digunakan untuk mencari tempat strategis dalam menentukan lokasi untuk pembuatan cafe terbaru [2]. Selain itu, metode SAW digunakan dalam sistem pendukung keputusan dalam pemilihan wisata kuliner [3]- [6] dan perankingan tren turis [7], [8]. Sehingga dapat menjadi referensi untuk pengembangan pada studi yang lain.…”

Section: Pendahuluanunclassified

Sistem Pendukung Keputusan Pemilihan Cafe di Yogyakarta dengan Menggunakan Metode Simple Additive Weighting (SAW)

Alvianto

Saifullah

2020

jinita

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Perkembangan bisnis kuliner di indonesia berkembang dengan sangat cepat, salah satunya bisnis minuman kopi racikan atau yang biasa disebut dengan café. Bisnis ini berkembang sangat cepat dan banyaknya varian kopi racikan yang ada di indonesia, salah satunya berada di Yogyakarta. Banyaknya café yang buka di Yogyakarta berdampak pada kebingungannya para pelajar untuk memilik rekomendasi mana yang paling nyaman untuk digunakan para pelajar untuk digunakan sebagai tempat diskusi atau tempat belajar. Selain itu biasanya para pendatang terutama pelajar yang baru saja datang di Yogyakarta akan berkeliling kota untuk mencari tempat-tempat yang nyaman digunakan untuk melepas lelah. Pada penelitian ini, melakukan wawancara dengan 10 responden, hasil tersebut diolah dan diporses dengan menggunakan metode Simple Additive Weighting (SAW). SAW merupakan salah satu metode yang digunakan dalam mengambil keputusan. Metode ini digunakan untuk menentukan rekomendasi café terbaik yang berada di Yogyakarta. Rekomendasi café ini diharapkan sesuai dengan yang dicari oleh pelajar dengan memperhatikan fasilitas café, lokasi café, dan kisaran harga yang ditawarkan. Hasil perhitungan metode SAW dalam rekomendasi cafe di Yogyakarta adalah Cafe B dengan hasil 9,4 yang merupakan nilai tertinggi. Berdasarkan hasil perhitungan tersebut dan analisisnya, fasilitas yang disediakan café merupakan daya tarik yang paling utama bagi pengunjung. Selain itu, penggunaan metode SAW juga dapat memberikan rekomendasi café terbaik sebagai rekomendasi awal untuk pelajar pendatang di Yogyakarta.

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Mapping technology of cultural heritage for sustainable urban area management at Indonesia

Agustina,

Harto,

Suwardhi

et al. 2024

The 3RD INTERNATIONAL CONFERENCE ON NATURAL SCIENCES, MATHEMATICS, APPLICATIONS, RESEARCH, AND TECHNOLOGY (ICON-SMART2022): Mat

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Tourism Trend Mapping Based on Social Media Using SAW Algorithm

Cited by 4 publications

References 2 publications

Recommendation of Yogyakarta tourism based on simple additive weighting under fuzziness

Recommendation of Yogyakarta tourism based on simple additive weighting under fuzziness

Sistem Pendukung Keputusan Pemilihan Cafe di Yogyakarta dengan Menggunakan Metode Simple Additive Weighting (SAW)

Mapping technology of cultural heritage for sustainable urban area management at Indonesia

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