Izzah, Nurul and Norman, Dias and Iftinan, Jihan Hasna (2024) Penerapan Sistem Rekomendasi Berbasis Machine Learning pada Aplikasi "Voyageur" Android untuk Personalisasi Perencanaan Perjalanan Kelompok. Project Report (Praktek Kerja Lapang dan Magang). Fakultas Ilmu Komputer, Surabaya.
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Abstract
The Merdeka Belajar Kampus Merdeka (MBKM) program, initiated by the Ministry of Education, Culture, Research, and Technology, aims to provide undergraduate students with experiential learning aligned with professional industry standards. This report presents the final project outcomes of an Independent Study (Studi Independen) program, focusing on the development of the Voyageur application to address the complexities of group travel planning. Group travel coordination frequently poses significant challenges due to the necessity of reconciling diverse preferences, schedules, and budgets among multiple members. Developed as an Android-based platform, Voyageur leverages machine learning technology to deliver recommendations for destinations, itineraries, and budgets tailored to each member's preferences. The application integrates a hybrid recommendation system utilizing collaborative filtering and content-based filtering algorithms, built upon the TensorFlow Recommenders (TFRS) framework. Utilizing a dataset of over 1,000 destinations and 26,000 user reviews, the developed model achieved a Top-100 Categorical Accuracy of 1.00. Ultimately, the primary objective of Voyageur is to significantly enhance operational efficiency in group travel planning.
| Item Type: | Monograph (Project Report (Praktek Kerja Lapang dan Magang)) | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software Q Science > QA Mathematics > QA76.6 Computer Programming |
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| Divisions: | Faculty of Computer Science > Departemen of Information Systems | ||||||||
| Depositing User: | Nurul Izzah | ||||||||
| Date Deposited: | 26 May 2026 01:12 | ||||||||
| Last Modified: | 26 May 2026 02:11 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/52085 |
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