Penentuan Lima Objek Wisata Terfavorit di DKI Jakarta Menggunakan SAW dan WP Berbasis Web
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Abstract
The purpose of this research is to create a web-based tourist attraction information system in the DKI Jakarta area. The benefit of this research is to find out information on tourist attractions such as addresses, routes and tourist attractions that you want to go to through a web-based system that has been created. In the research method that researchers use in system design consists of Unified Modeling Language (UML), Use Case Diagrams, Class Diagrams, Implementation. While the development method using Simple Additive Weighting (SAW) and Weight product (WP) method. Based on the process and research, it can be concluded that the Simple Addictive Weight (SAW) algorithm gives more accurate results than the Weight product (WP) algorithm. So that the user can make a selection of the tourist attraction to be visited after seeing the list of tours available on the Enjoy Jakarta website. Then give an assessment of the tourist attractions that have been visited.
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How to Cite
Susanto, A. R., Wahyuddin, M. I., & Andrianingsih, A. (2022). Penentuan Lima Objek Wisata Terfavorit di DKI Jakarta Menggunakan SAW dan WP Berbasis Web. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 6(2), 167–173. https://doi.org/10.35870/jtik.v6i2.399
Section
Computer & Communication Science
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Saputra, H. and Salma, N., 2020. Dampak PSBB dan PSBB Transisi di DKI Jakarta dalam Pengendalian COVID-19. Media Kesehatan Masyarakat Indonesia, 16(3), pp.282-292.
Syafri, H., Sangadji, E. and Utami, R.R.M., 2020. Impact Analysis of the Large-Scale Social Restrictions (PSBB) Policy Implementation in Jakarta. Journal of Indonesian Health Policy and Administration, 5(2).
Megapolitan.kompas.com. 2020. Data Covid-19, URL: Beranda - covid19.go.id.
Riadi, A.S. and Radiyah, U., 2018. Aplikasi Pengenalan Objek Wisata Sejarah Kota Tua Jakarta Berbasis Augmented Reality. Jurnal Teknika, 10(2), pp.1035-1039.
Wenadi, N.D. and Johan, J., 2021, June. Sistem Informasi Prediksi Jurusan Perguruan Tinggi Dengan Metode K-Nearest Neighbour. In Seminar Nasional Informatika (SENATIKA) (pp. 564-570).
Riadi, A.S. and Radiyah, U., 2018. APLIKASI PENGENALAN OBJEK WISATA SEJARAH KOTA TUA JAKARTA BERBASIS AUGMENTED REALITY. Jurnal Teknika, 10(2), pp.1035-1039.
Riyadi, A., Andryana, S. and Winarsih, W., 2021. Pemilihan Transportasi Bus Antar Kota Antar Provinsi (AKAP) Dengan Metode Simple Additive Weighting (SAW), Weighted Product (WP), dan Promethee Berbasis Android. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(3), pp.247-256.
M. T. Rizky Muhammad; Irma Kartika Wairooy, S.Kom., 2019. “UML Diagram : Activity Diagram,†URL: Https://Socs.Binus.Ac.Id/.
Putra, D.W.T. and Andriani, R., 2019. Unified Modelling Language (UML) dalam Perancangan Sistem Informasi Permohonan Pembayaran Restitusi SPPD. Jurnal TeknoIf, 7(1), pp.32-39.
Unhelkar, B., 2017. Software engineering with uml. CRC Press.
Yusdistira, M., 2020. Rancangan Sistem Informasi untuk Solusi Permasalahan Rumah Ibadah.Codepolitan.
Pratama, A.R., 2019. Belajar Unified Modeling Language (UML). CodePolitan. com.
Qiyamullailiy, A., Nandasari, S. and Amrozi, Y., 2020. Perbandingan Penggunaan Metode SAW dan AHP untuk Sistem Pendukung Keputusan Penerimaan Karyawan Baru. Teknika: Engineering and Sains Journal, 4(1), pp.7-12.
Mulyani, E.D.S., 2019. Analisis Perbandingan Sistem Pendukung Keputusan Menggunakan Metode SAW Dengan WP Dalam Pemberian Pinjaman. Cogito Smart Journal, 5(2), pp.239-251.