Article Sidebar

Download
PDF
Statistic
Read Counter : 547 Download : 750

Downloads

Download data is not yet available.

Main Article Content

Abstract

Historic sites are a form of heritage and cultural heritage of ancestors that have value for the life of the nation today and in the future. Magelang City is one city that has many historic sites that have not been optimally managed. The k-medoid algorithm is a method used in creating groups based on objects as representatives (medoid) which function as cluster centers for each cluster. In this research, web-based historic site information system design in Magelang City is carried out. Through the information system that has been built to provide a friendly user  information retrieval that has many advantages such as searching, grouping and information data accessed by visitors.

Keywords

Clusterization Historic Site Magelang City

Article Details

Copyright (c) 2019 Jurnal Komtika (Komputasi dan Informatika)

References

  1. C. Budihartanti and M. Wairisal, “Perancangan Sistem Informasi Wisata Bersejarah Di Jabodetabek Berbasis Android,” PROSISKO J. Pengemb. Ris. dan Obs. Sist. Komput., vol. 1, no. Perancangan Sistem Informasi Wisata Bersejarah Di Jabodetabek Berbasis Android, pp. 10–17, 2014.
  2. D. A. Irawati, “Media Informasi Sejarah Virtual Tour 3D Singosari Kabupaten Malang,” Semin. Nas. Inform., pp. 98–104, 2015.
  3. M. S. dan E. A. Julisawati, “Aplikasi Informasi Pariwisata Tempat, Budaya, Kerajinan dan Kuliner Daerah Cirebon Berbasis Android,” J. SIMETRIS, vol. 8, no. 1, pp. 35–44, 2017.
  4. E. Junaedi, “Pengembangan Virtual Reality Untuk Mendigitalisasi Situs Peninggalan Sejarah Masjid Agung Banten,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 5, no. 1, pp. 86–99, 2018.
  5. D. F. Pramesti, Lahan, M. Tanzil Furqon, and C. Dewi, “Implementasi Metode KMedoids Clustering Untuk Pengelompokan Data Potensi Kebakaran Hutan/Lahan Berdasarkan Persebaran Titifk Panas (Hotspot),” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 1, no. 9, pp. 723–732, 2017.
  6. D. Marlina, N. F. Putri, A. Fernando, and A. Ramadhan, “Implementasi Algoritma KMedoids dan K-Means untuk Pengelompokkan Wilayah Sebaran Cacat pada Anak,” J. CoreIT J. Has. Penelit. Ilmu Komput. dan Teknol. Inf., vol. 4, no. 2, p. 64, 2018