Sistem Informasi Geografis untuk Menentukan Rute Lokasi Wisata Danau Toba dengan Metode Simulated Annealing
DOI:
https://doi.org/10.58477/dj.v1i1.25Keywords:
System, Tourist Location Routes, Lake Toba, Simulated Annealing MethodAbstract
Tourist sites are a natural sector in the development of economic, business, social and environmental qualities in a country. In various aspects, the growing potential of tourist sites can also have an impact on most developing countries. If a tourist location is developed, modern and maintained, it can provide more value for a country. The purpose of this research is to make it easier for visitors to find tourist sites that they don't know about around Lake Toba and make it easier for them to find routes for tourist locations they want to visit. Making available tourist sites more widely known by tourists, as well as culinary and typical souvenirs from these tourist attractions are also known to tourists. The Simulated Annealing algorithm can provide the closest route from several tourist location points and is implemented in making geographic information system applications. The results of the study in the form of a geographic information system application to determine the route to the tourist location of Lake Toba with the Simulated Annealing method can help tourists to determine the route of tourist sites that they have not yet explored and make it easier for them to go to the location they want to visit so that they can save time on their way.
Downloads
References
Chang, K. T. (2016). Geographic information system. International Encyclopedia of Geography: People, the Earth, Environment and Technology: People, the Earth, Environment and Technology, 1-9. DOI: https://doi.org/10.1002/9781118786352.wbieg0152.
Dowsland, K. A., & Thompson, J. (2012). Simulated annealing. Handbook of natural computing, 1623-1655. DOI: https://doi.org/10.1007/978-3-540-92910-9_49.
Ghaffari-Nasab, N., Ahari, S. G., & Ghazanfari, M. (2013). A hybrid simulated annealing based heuristic for solving the location-routing problem with fuzzy demands. Scientia Iranica, 20(3), 919-930. DOI: https://doi.org/10.1016/j.scient.2013.02.006.
Haryanto, J. T. (2014). Model pengembangan ekowisata dalam mendukung kemandirian ekonomi daerah studi kasus provinsi DIY. Jurnal Kawistara, 4(3).
Henderson, D., Jacobson, S. H., & Johnson, A. W. (2003). The theory and practice of simulated annealing. In Handbook of metaheuristics (pp. 287-319). Springer, Boston, MA. DOI: https://doi.org/10.1007/0-306-48056-5_10.
Husin, A., Andriani, D. S., & Saputra, A. (2022). Pengembangan Wisata. Bening Media Publishing.
Ihtiar, D., WP, R. R., & Faizah, N. M. (2022). APLIKASI PENCARIAN BENGKEL VESPA DI KOTA DEPOK BERBASIS ANDROID DENGAN METODE LOCATION-BASED SERVICE (LBS). Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 3(2), 67-73. DOI: https://doi.org/10.35870/jimik.v3i2.88/.
Kurniawan, H., & Tanjung, M. R. (2017). Sistem informasi geografis objek Wisata Alam di Provinsi Sumatera Utara berbasis mobile android. Sisfotenika, 7(1), 13-24. DOI: http://dx.doi.org/10.30700/jst.v7i1.130.
Li, Y., Guo, H., Wang, L., & Fu, J. (2013). A hybrid genetic-simulated annealing algorithm for the location-inventory-routing problem considering returns under E-supply chain environment. The Scientific World Journal, 2013. DOI: https://doi.org/10.1155/2013/125893.
Nugracia, R., & Lhaksmana, K. M. (2020). Implementasi Algoritma Simulated Annealing Untuk Rute Perjalanan Pada Sistem Rekomendasi Objek Wisata. eProceedings of Engineering, 7(1).
Pemayun, A. G. P. (2018). Ekonomi Kreatif dan Kearifan Lokal dalam Pembangunan Pariwisata Berkelanjutan di Bali. Universitas Pendidikan Nasional.
Putri, P. N. H., Astuti, S., & Safitri, C. (2022). Analisis Dampak Pengembangan Pariwisata Terhadap Perekonomian Masyarakat Lokal di Era New Normal. Jurnal EMT KITA, 6(2), 383-389. DOI: https://doi.org/10.35870/emt.v6i2.723.
Saputro, J., Faizah, N. M., & Riyanto, A. (2022). SISTEM PENUNJANG KEPUTUSAN PENGEMBALIAN DANA TABUNGAN ANGGOTA MUTASI DAN PENSIUN MENGGUNAKAN METODE ANALYTICAL HIERARCHICAL PROCESS (AHP) BERBASIS ANDROID. Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 3(2), 37-49. DOI: https://doi.org/10.35870/jimik.v3i2.85.
Vasan, A., & Raju, K. S. (2009). Comparative analysis of simulated annealing, simulated quenching and genetic algorithms for optimal reservoir operation. Applied soft computing, 9(1), 274-281. DOI: https://doi.org/10.1016/j.asoc.2007.09.002.
Vincent, F. Y., & Lin, S. Y. (2015). A simulated annealing heuristic for the open location-routing problem. Computers & Operations Research, 62, 184-196. DOI: https://doi.org/10.1016/j.cor.2014.10.009.
Vincent, F. Y., Redi, A. P., Hidayat, Y. A., & Wibowo, O. J. (2017). A simulated annealing heuristic for the hybrid vehicle routing problem. Applied Soft Computing, 53, 119-132. DOI: https://doi.org/10.1016/j.asoc.2016.12.027.
Vramasatya, M. R., Faizah, N. M., & Nurcahyo, W. (2022). APLIKASI PEMASARAN PERUMAHAN PT. GRIYA ABEE MAKMUR RAGAJAYA CITAYAM KABUPATEN BOGOR MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (RAD) BERBASIS WEB. Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 3(2), 59-66. DOI: https://doi.org/10.35870/jimik.v3i2.87.
Wali, M., Akbar, R., Iqbal, T., & Al-Bahri, F. P. (2019). Development of an android-based tourism guide (A case study: Sabang City, Indonesia). International Journal of Scientific & Technology Research, 8(11), 887-893.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.