Recommendation System for Boarding House Rental Using Greedy Algorithm
In Indonesia, various types of residences are currently developing quite diversely, one of which is boarding houses, because the price is cheaper and can be occupied by many people. This makes boarding houses very popular with the community. With the variety of types / kinds of boarding houses available, it often makes it prospective tenants difficult to search for boarding houses according to their expectations. Therefore, to make it easier for prospective boarding house tenants to get boarding houses that match their expectations based on the type/kind of boarding house available, a Boarding House Recommendation System was created. This boarding house rental system is built on a website platform that adopts the Greedy algorithm as its optimization system, where this algorithm can work for several criteria, including rental criteria based on location, by sorting from the largest score to the smallest score. So this recommendation system can help someone who is looking for a boarding house according to their preferences.
Authors
- Muhammad Fikri Hidayattullah (ORCID: https://orcid.org/0000-0002-9881-8788)
- Ginanjar Wiro Sasmito (ORCID: https://orcid.org/0000-0002-3941-1769)
- Arif Hidayah
Institutions
- Pelita Harapan University (ID)
- Harapan Bangsa Institute of Technology (ID)
Publication Details
- Published
- 2025-06-12
- DOI
- https://doi.org/10.1109/icera66156.2025.11087341
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00