Andi Widiyanto
Universitas Muhammadiyah Magelang

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Journal : Borobudur Informatics Review

Borobudur tourist destination recommendation system using Case Base Reasoning (CBR) method Nurul Hanifatul Alfiyah; Andi Widiyanto; Agus Setiawan
Borobudur Informatics Review Vol 1 No 2 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/binr.5458

Abstract

The high interest of tourists to Borobudur Temple does not have the same impact on tourist destinations around Borobudur Temple. Tourists have difficulty with several tourist destinations around Borobudur Temple that are in accordance with tourist interests. Tourists need proposed tourist destinations that match the desired criteria. In this study the Case Base Reasoning (CBR) method was used to create a tourist destination recommendation system with variables such as distance, type, location, and tourist attraction. The results of testing the tourist destination recommendation system showed that respondents felt it was helped 86.67%, 88.33% as desired and 85.41% said they were satisfied
Implementation of the item-based collaborative filtering method on a web-based culinary tourism recommendation system (case study: Magelang City) Ahmad Husain Ardiansyah; Andi Widiyanto; Setiya Nugroho
Borobudur Informatics Review Vol 2 No 2 (2022): Vol 2 No 2 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/binr.6731

Abstract

Culinary is a type of business that will always exist, this is because one of the factors of human needs is in the form of food. Therefore it is necessary to have a system that provides recommendations to provide input to consumers to minimize consumer confusion about the many culinary places. In this study, to obtain recommendations, the Item-based Collaborative Filtering method will be used to approach consumers with one another. Meanwhile, to get this approach, the approach that will be assessed is an approach to rating culinary places, to get a consumer rating it will give value to 4 aspects, namely: place value, service value, view value, and speed of service value. This study uses the consine similarity algorithm to get the value of the approach. The results obtained by this study using the Likert scale method got a value of 71.6656% "fulfilled". Meanwhile, in the black-box test, the score is 100% functioning, and in the test to determine the accuracy of manual calculations and the system, the value is 100% the same.