Electronic Tourism Using Decision Support Systems to Optimize the Trips
DOI:
https://doi.org/10.30812/matrik.v23i1.3331Keywords:
Decision Support System, Electronic Tourism, Optimize, Simple Additive Weighting, TourismAbstract
Pagar Alam is a tourist destination city in the province of South Sumatra, which has many very diverse tourist destinations. The problem is that there is still a lack of information about tourism that tourists can access. This research aimed to build electronic tourism to make it easier for tourists to get the best information and recommendations about tourism in the city of Pagar Alam, which can be accessed anytime and anywhere, as well as improve tourist experience in planning their tourist trips because this electronic tourism platform includes decision making support system, which helps tourists manage their tours according to their needs and abilities. The research method used was analysis by collecting data by observing tourist attractions, calculating predictions using the simple additive weighting method, and from the results of testing with several alternatives, it can be concluded that electronic tourism meets the criteria chosen by tourists after being carried out. The calculation produced the highest preference value for tourist attractions, namely Tugu Rimau, with a value of 13.25. The highest preference value for hotels is Villa Gunung Gare Pagar Alam, with a score of 8.91, and the highest preference score for eating places is Warung Ridwan, with a score of 13.25. The next stage was system design using data flow diagrams, and the final stage was implementation by building electronic tourism using the CodeIgniter framework.
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of Tourism and Creativity, vol. 2, no. 2, 2019.
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STMIK Bina Nusantara Jaya Lubuklinggau, vol. 4, no. 2, pp. 99–104, 2022.
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city of Pagar Alam,†in Conference SENATIK STT Adisutjipto Yogyakarta, vol. 6, 2020, pp. 257–262.
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Zaidan, “How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management,â€
Computer Science Review, vol. 39, p. 100337, 2021.
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in e-tourism mobile location-based recommender systems,†in 2019 IEEE 14th International Conference on Computer
Sciences and Information Technologies (CSIT), vol. 3. IEEE, 2019, pp. 166–169.
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Kegiatan Promosi Pariwisata,†International Journal of Community Service Learning, vol. 6, no. 2, 2022.
[10] G. Haryono and A. Albetris, “Peranan Komunikasi Pemasaran Pariwisata Melalui Pemanfaatan E-Tourism Marketing untuk
Meningkatkan Niat Berkunjung Wisatawan,†Ekonomis: Journal of Economics and Business, vol. 6, no. 1, pp. 136–143, 2022.
[11] D. R. Sari, S. Saniati, and P. Parjito, “E-tourism kebudayaan dan pariwisata kabupaten pesisir barat,†Jurnal Teknologi dan
Sistem Informasi, vol. 2, no. 4, pp. 62–67, 2021.
[12] I. P. G. H. Suputra and L. A. A. R. Putri, “Sistem Rekomendasi Perjalanan Wisata Berbasis Expert System dan Algoritma
Genetika,†Jurnal RESISTOR (Rekayasa Sistem Komputer), vol. 5, no. 1, pp. 47–54, 2022.
[13] P. L. Parameswari, I. Astuti, and W. W. Ariestya, “Implementasi Metode Ahp Pada Sistem Pendukung Keputusan Pariwisata
Jawa Timur,†Jurnal Teknoinfo, vol. 16, no. 1, pp. 40–45, 2022.
[14] D. Setiadi and R. Syahri, “Penerapan Algoritma Na¨ıve Bayes Pada Sistem Prediksi Pengguna Narkoba di Kota Pagar Alam,â€
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AHP,†MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 19, no. 1, pp. 147–154, 2019.
[16] I. Indriaturrahmi and F. Fitriani, “Rancang Bangun Sistem Pendukung Keputusan Potensi Promosi Calon Mahasiswa Baru Studi
Kasus Universitas Pendidikan Mandalika,†MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 20,
no. 2, pp. 397–406, 2021.
[17] D. W. T. Putra, S. N. Santi, G. Y. Swara, and E. Yulianti, “Metode topsis dalam sistem pendukung keputusan pemilihan objek
wisata,†Jurnal Teknoif Teknik Informatika Institut Teknologi Padang, vol. 8, no. 1, pp. 1–6, 2020.
[18] D. Pibriana, “Penggunaan Metode Simple Additive Weighting (SAW) dalam Pengambilan Keputusan Rekrutmen Karyawan
Pada PT. ABC,†Techno. Com, vol. 19, no. 1, pp. 45–55, 2020.
[19] R. Sovia and A. F. Hadi, “Membandingkan Metode SAWDan MFEP Dalam Penentuan Jurusan di Tingkat SLTA,†Jurnal RESTI
(Rekayasa Sistem dan Teknologi Informasi), vol. 3, no. 1, pp. 59–65, 2019.
[20] D. Widiyawati, D. Dedih, and W. Wahyudi, “Implementasi Metode Maut Dan Saw Dalam Pemilihan Tempat Wisata Di Kabupaten
Karawang,†Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi, vol. 17, no. 2, pp.
71–80, 2022.
[21] S. Sunarti, “Sistem Pendukung Keputusan Pemilihan Wisata Kuliner Di Wilayah Kota Depok Menggunakan Metode Simple
Additive Weighting (SAW),†Jurnal Eksplora Informatika, vol. 9, no. 2, pp. 105–110, 2020.
[22] P. Sugiartawan, S. Hartati, and A. Musdholifah, “Modeling of a tourism group decision support system using risk analysis based
knowledge base,†International Journal of Advanced Computer Science and Applications, vol. 11, no. 7, 2020.
[23] Y. Andianggara, R. Gunawan, and A. P. Aldya, “Sistem Pendukung Keputusan dengan Metode Simple Additve Weighting
(SAW) untuk Prediksi Anggaran Biaya Wisata,†Innovation in Research of Informatics (INNOVATICS), vol. 1, no. 1, 2019.
[24] Y. Lestari, S. Sunardi, and A. Fadlil, “Seleksi Peserta Didik Baru Menggunakan Metode AHP Dan SAW,†J-SAKTI (Jurnal
Sains Komputer dan Informatika), vol. 4, no. 1, pp. 18–28, 2020.
[25] N. Chinoi and A. Meiriza, “Sistem Pendukung Keputusan Pemilihan Tempat Wisata Belanja di Kota Batam Menggunakan
Metode Simple Additive Weighting (SAW),†JIMP (Jurnal Informatika Merdeka Pasuruan), vol. 6, no. 1, 2022.
[26] T. Irawati and S. Arifin, “Implementasi Metode Harga Pokok Proses Dalam Perhitungan Harga Pokok Produksi Pada Usaha
Batik,†Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), vol. 8, no. 1, 2020.
[27] R. D. Riyanto and M. Yunus, “Sistem Pendukung Keputusan Pemberian Kredit BerbasisWeb Menggunakan Kombinasi Metode
Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW),†Jurnal Manajemen Informatika (JAMIKA),
vol. 11, no. 2, pp. 102–117, 2021.
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2023-11-29
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How to Cite
[1]
D. Setiadi and Y. I. Mukti, “Electronic Tourism Using Decision Support Systems to Optimize the Trips”, MATRIK, vol. 23, no. 1, pp. 183–200, Nov. 2023, doi: 10.30812/matrik.v23i1.3331.
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