Pengembangan Seleksi Rute pada Aplikasi Wisata Kebun Binatang dengan Menerapkan Analytical Hierarchy Process dan K-Nearest Neighbor

Jagiswara, Ridho Ajiraga (2023) Pengembangan Seleksi Rute pada Aplikasi Wisata Kebun Binatang dengan Menerapkan Analytical Hierarchy Process dan K-Nearest Neighbor. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 05111940000170-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 September 2025. Download (5MB) | Request a copy

Abstract

Kebun Binatang merupakan salah satu destinasi wisata favorit berupa ruang terbuka hijau yang mengumpulkan, memelihara, dan mempertunjukkan satwa untuk masyarakat umum dalam lingkungan buatan. Namun, maraknya kasus pandemi Covid-19 di tahun 2020 hingga 2021 membuat sektor pariwisata kebun binatang mengalami penurunan pengunjung secara pesat. Demi meningkatkan kembali minat dan pengalaman pariwisata yang baik, dilakukanlah inovasi pertama kali pada tahun 2021. Inovasi tersebut dilakukan dengan membangun aplikasi pemandu wisata kebun binatang berbasis mobile yang dinamakan ZooSite. Aplikasi ZooSite awalnya menyediakan fitur chatbot yang dapat memberikan informasi terkait koleksi kebun binatang. Dalam penelitian ini, dilakukan pengembangan lebih lanjut pada aplikasi ZooSite dengan menambahkan fitur navigasi rute dan riwayat kunjungan. Fitur navigasi dibangun dengan memanfaatkan teknologi GPS dan metode Analytical Hierarchy Process (AHP) serta algoritma K-Nearest Neighbor (K-NN) untuk dapat menampilkan rute sesuai dengan preferensi pengunjung. Metode ini mempertimbangkan beberapa kriteria dalam menentukan rute berdasarkan preferensi masing-masing pengunjung. Rute ditampilkan dalam bentuk peta dengan objek-objek yang harus dilewati dari posisi pengunjung hingga sampai ke titik tujuan. Objek-objek yang telah dilewati pengunjung disimpan dalam riwayat kunjungan dengan memanfaatkan Geofencing. Hasil akhir dari penelitian ini adalah terbangunnya fitur navigasi rute dengan menerapkan AHP dan K-NN serta fitur penyimpanan riwayat kunjungan dengan memanfaatkan Geofencing pada aplikasi ZooSite. Rute navigasi berhasil terbentuk dari titik-titik objek yang diseleksi berdasarkan nilai prioritas kriteria dan nilai AHP tertinggi dengan rasio konsistensi perbandingan kriteria kurang dari 10%. Dengan menggunakan K-Nearest Neighbor, jarak tempuh rute dapat berkurang hingga sebesar 41,36%. Objek satwa dan fasilitas yang telah dikunjungi berhasil disimpan dalam riwayat kunjungan dengan memanfaatkan Geofencing.
==================================================================================================================================
Zoo is one of the favorite tourist destinations in the form of a green open space that collects, maintains, and exhibits animals for the public in an artificial environment. However, the outbreak of the Covid-19 pandemic in 2020 to 2021 has led to a significant decline in visitor numbers in the zoological tourism sector. To revive interest and provide an enhanced tourism experience, an innovation was introduced in 2021. This innovation involved the development of a mobile-based zoo tour guide application called ZooSite. Initially, ZooSite offered a chatbot feature to provide information about the zoo's collections. Subsequently, this research further extended the application by incorporating route navigation and visit history features. The navigation feature was built using GPS technology , Analytical Hierarchy Process (AHP) method and K-Nearest Neighbor algorithm to display routes based on visitor preferences. This method considered several criteria in determining routes according to each visitor's preferences. The routes were presented on a map with the objects that visitors must pass through from their location to the destination point. The objects that visitors have passed were stored in the visit history using Geofencing. The final result of this research was the establishment of route navigation features by applying AHP and K-NN methods, as well as the visit history storage feature using Geofencing in the ZooSite application. The navigation routes were successfully generated by selecting points based on the priority values of criteria and the highest AHP score with a consistency ratio of less than 10%. By implementing the KNearest Neighbor (K-NN) method, the route distance was reduced up to 41,36%. Furthermore, the visited animal and facility objects were successfully stored in the visithistory using Geofencing

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Analytical Hierarchy Process, Geofencing, K-Nearest Neighbor, Routes Navigation, Zoo, Analytical Hierarchy Process, Geofencing, K-Nearest Neighbor, Kebun Binatang, Navigasi Rute.
Subjects:	H Social Sciences > HE Transportation and Communications > HE336.R68 Route choice Q Science > QA Mathematics > QA76.774.A53 Android Q Science > QA Mathematics > QA9.58 Algorithms T Technology > T Technology (General) > T58.5 Information technology. IT--Auditing
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Ridho Ajiraga Jagiswara
Date Deposited:	07 Aug 2023 02:53
Last Modified:	07 Aug 2023 02:56
URI:	http://repository.its.ac.id/id/eprint/102373

Actions (login required)

View Item