Implementasi Algoritma Greedy pada Rute Wisata Danau Tao Desa Batang Onang Baru Berbasis Website

  • Riska Novasari Siregar * Mail Program Studi Teknik Informatika, Fakultas Teknik dan Komputer, Universitas Harapan Medan, Indonesia
  • Rahmat Aulia Program Studi Teknik Informatika, Fakultas Teknik dan Komputer, Universitas Harapan Medan, Indonesia
  • Rosyidah Siregar Program Studi Teknik Informatika, Fakultas Teknik dan Komputer, Universitas Harapan Medan, Indonesia
Keywords: Greedy Algorithm; Tao Lake Tourism; Website; Tourists

Abstract

This study aims to facilitate the travel of tourists visiting Tao Lake and increase travel efficiency by determining the fastest route. One of the methods used to determine the fastest route to Tao Lake is the greedy algorithm method. The advantage of the greedy algorithm is that it is fast in acting and does not take long to consider the consequences of what is decided so that it is very easy to implement in several existing problems. This website was created for the Gunung Tua and Padang Sidempuan areas. The results of the trial of the Tao Lake tourism website using a black box stated that the results of the website's feasibility point were 54% strongly agree, 26% agree, 14% disagree and 6% strongly disagree. The results of the website user satisfaction point were 58% strongly agree, 32% agree, 6% disagree and 4% strongly disagree.

References

W. Hadi and H. Widyaningsih, “Implementasi Penerapan Sapta Pesona Wisata Terhadap Kunjungan Wisatawan Di Desa Sambirejo Kecamatan Prambanan Kabupaten Sleman Daerah Istimewa Yogyakarta,” J. Pariwisata dan Budaya, vol. 11, no. September, pp. 127–136, 2020, doi: 10.31294/khi.v11i2.8862.

S. Susilawati, “Penerapan Metode A*Star Pada Pencarian Rute Tercepat Menuju Destinasi Wisata Cagar Budaya Menes Pandeglang,” Geodika J. Kaji. Ilmu dan Pendidik. Geogr., vol. 4, no. 2, pp. 192–199, 2020, doi: 10.29408/geodika.v4i2.2754.

F. Nova Arviantino, W. Gata, L. Kurniawati, Y. A. Setiawan, and D. Priansyah, “Penerapan Algoritma Greedy Dalam Pencarian Jalur Terpendek Pada Masjid–Masjid Di Kota Samarinda,” Metik J., vol. 5, no. 1, pp. 8–11, 2021, doi: 10.47002/metik.v5i1.188.

R. D. Saktia Purnama et al., “Implementasi Penggunaan Algoritma Greedy Best First Search Untuk Menentukan Rute Terpendek Dari Cilacap Ke Yogyakarta,” J. Inform. dan Tek. Elektro Terap., vol. 12, no. 2, 2024, doi: 10.23960/jitet.v12i2.4068.

A. Thariq and R. Nende, “Pengembangan Aplikasi Pencarian Tempat Kuliner Terdekat Di Kota Ambon Menggunakan Algoritma Greedy Berbasis Android Development of the Nearest Culinary Place Find Application in Ambon City Using Greedy Algorithm Based on Android,” IJIS Indones. J. Inf. Syst., vol. 9, no. April, pp. 35–46, 2024.

F. D. Sianipar et al., “ESTIMASI RUTE TERDEKAT DARI UNIVERSITAS NEGERI MEDAN KE SPBU TERDEKAT MENGGUNAKAN ALGORITMA GREEDY,” vol. 8, no. 6, pp. 12218–12225, 2024.

M. N. Kafi, A. Id Hadiana, and H. Ashaury, “Penentuan Rute Tercepat Untuk Responden Pertama Menggunakan Algoritma a* (a-Star),” JATI (Jurnal Mhs. Tek. Inform., vol. 8, no. 4, pp. 7914–7923, 2024, doi: 10.36040/jati.v8i4.10492.

Y. Y. Seran, “Sistem Pendukung Keputusan Cerdas Penentuan Rute Tercepat Menggunakan Metode Grey Absolute Decision Analysis,” Media Online), vol. 01, no. 33, pp. 33–44, 2024.

A. E. Prasetya, “Pencarian Rute Tercepat Mobil Ambulance Menggunakan Algoritma Ant Colony Optimization,” JURIKOM (Jurnal Ris. Komputer), vol. 6, no. 4, pp. 381–388, 2019, [Online]. Available: https://ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/view/1252

I. Algoritma, A. A-star, Z. Arfadhillah, and Y. Akbar, “Tercepat dari Bandara Soekarno Hatta ke Destinasi Kota Tua,” vol. 5, no. 3, pp. 3020–3042, 2024.

Salmon Priaji Martana, “Problematika Penerapan Metode Field Research Untuk Penelitian Arsitektur Vernakular Di Indonesia,” Dimens. (Jurnal Tek. Arsitektur), vol. 34, no. 1, pp. 59–66, 2006, [Online]. Available: http://puslit2.petra.ac.id/ejournal/index.php/ars/article/view/16458

R. B. Oktaviandi, M. S. T. Hadi, A. G. Santoso, and N. El Maidah, “Perbandingan Algoritma Genetika dengan Algoritma Greedy Untuk Pencarian Rute Terpendek,” INFORMAL Informatics J., vol. 3, no. 1, p. 6, 2019, doi: 10.19184/isj.v3i1.9847.

D. Grace, “Sakit Di Kota Palu Menggunakan Algoritma Greedy Berbasis Web,” J. Elektron. Sist. Inf. dan Komput., vol. 4, no. 2, pp. 59–76, 2021.

R. Dwi Septiana, D. Abisono Punkastyo, and N. Nugroho, “Algoritma Greedy dan Algoritma A* Untuk Penentuan Cost Pada Routing Jaringan,” KLIK Kaji. Ilm. Inform. dan Komput. Implementasi, vol. 3, no. 2, pp. 181–187, 2022, [Online]. Available: https://djournals.com/klik

N. N. Sania and I. Sari, “Implementasi Rencana Perjalanan Wisata Di Kota Bogor Menggunakan Algoritma Greedy Berbasis Website,” J. Ilm. Teknol. dan Rekayasa, vol. 24, no. 2, pp. 114–130, 2019, doi: 10.35760/tr.2019.v24i2.2390.

A. Roihan, K. Nasution, and M. Z. Siambaton, “Implementasi Algoritma Greedy Kombinasi dengan Perulangan pada Aplikasi Penjadwalan Praktikum,” sudo J. Tek. Inform., vol. 1, no. 2, pp. 42–50, 2022, doi: 10.56211/sudo.v1i2.8.

N. Fakhri, A. Sigit Julian, D. Sandi Augustin, Z. Ceryl Mavanudin, and E. Christian, “Penerapan Algoritma Greedy Dalam Penentuan Prioritas Pengerjaan Tugas Kuliah Mahasiswa,” RESOLUSI Rekayasa Tek. Inform. dan Inf., vol. 4, no. 5, p. 454, 2024, [Online]. Available: http://www.djournals.com/resolusi/article/view/1824

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Published
2025-01-31
Section
Articles