Facility Layout Design with Corelap Algorithm for Educational Tour

Abstract

Yogyakarta has potential in the field of tourism. Many places can be chosen to be visited, including tourism education village. This village is interesting because not only a vacation spot, but we can also increase our knowledge there. Currently, Widodomartani villagers are planning to create a tourism education village inspired by the tourism education village in Kebumen. To make a tourism education village there must be good planning. The purpose of this study is to assist Widodomartani villagers in planning the facility layout of an educational village. The analysis that will be carried out includes making business processes, identifying facilities, and establish facility layouts that can be used to plan the layout of facilities. Layouting facilities are done by the Corelap algorithm based on the relationship between the facilities. Based on TCR (Total Closeness Rating) for each department, where TCR is the number of value calculated based on the rating of a systematic approach. Determination of the layout of facilities for 24 facilities is done using Activity Relationship Diagrams by considering the Total Closeness Rating between existing facilities as a basis for determining the layout of facilities. From the results of the closeness relationship, layout optimization is done using CORELAP (Computerized Relationship Layout Planning) software to get the optimal layout which is then actualized described in Widodomartani tourism education village land.

Perancangan Ulang Tata Letak Fasilitas Untuk Meminimalkan Jarak Material Handling Menggunakan Algoritma CORELAP

“…[10] Penempatan fasilitas pada pembangunan desa wisata juga dapat dioptimalkan dengan metode CORELAP yang bertujuan untuk mengetahui tata letak yang baik. [11] Tujuan dari penelitian ini adalah melakukan evaluasi lantai produksi berupa perancangan ulang tata letak fasilitas pada PT X sebagai upaya untuk mengoptimalkan layout produksi. Pada penelitian ini, perancangan tata letak menggunakan algoritma CORELAP untuk menghitung aktivitas yang paling sibuk atau memiliki hubungan kedekatan, meminimasi jarak material handling, sehingga tidak terjadi proses backtracking pada saat proses produksi.…”