SISTEM PENGAMBILAN KEPUTUSAN MENGGUNAKAN TOPSIS FUZZY MCDM UNTUK PEMILIHAN TEMPAT WISATA BERBASIS WEB

Sanusi Sanusi, Juniana Husna

Abstract


Aceh besar memiliki ciri khas wisata alam yang beragam. Dalam memilih tempat wisata tentu sangat tidaklah mudah selain faktor jarak, biaya, transportasi dan jumlah aggota keluarga juga perlu dipertimbagkan supaya pemilihan tempat wisata yang dikunjungi oleh masyarakat sesuai dengan keinginannya dan keuangan. Perancangan aplikasi yang akan dibangun bertujuan untuk pengambilan keputusan para wisatawan yang hendak bepergian ke lokasi wisata pantai berdasarkan kriteria yang dapat dipilih berupa jarak, biaya, waktu, transportasi dan keamanan. Manfaat yang diperoleh dapat memberikan informasi tempat wisata yang akurat serta memberikan kemudahan bagi pengunjung dalam memilih lokasi wisata. Penelitian ini menggunakan penggabungan dari tiga metode dalam proses analisisnya yaitu TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), Logika Fuzzy, dan MCDM (Multiple Criteria Decision Making). Sedangkan model pengembangan perangkat lunak menggunakan model waterfall. Hasil yang diperoleh bahwa Aplikasi sistem pengambilan keputusan dengan menggunakan fuzzy TOPSIS MCDM dalam pemilihan tempat wisata berbasis web di Aceh Besar mampu memberikan rekomendasi pilihan sesuai dengan kriteria yang diinginkan pengunjung dan dapat memberikan urutan atau perangkingan prioritas dengan nilai terbesar diantara loksai wisata yang lainnya. Dapat membantu pihak Dinas Kebudayaan, Pariwisata, Pemuda dan Olahraga Kabupaten Aceh Besar.

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References


Jao, Chiang S. Decision Support Sistems. India. 2010: Intech

Masruro A, Wibowo FW. Intelligent Decision Support Sistem For Tourism Planning Using Integration Model of K-Means Clustering and Topsis. International Journal of Advanced Computational Engineering and Networking, ISSN: 2320-2106. 2016; Volume-4, Issue-1

Sojahrood, ZB, Taleai M, Mansourian A. Developing a Web-GIS besed decision Support sistems for tourism planning. https://www.researchgate.net/publication/269992588. 2015

Sudrajat FA, Nuryana Dwi IK. Decision Support Sistem for Selection of Otobus. Journal of Information Management.2014; Vol. 01 No. 01

Genc T. A fuzzy MCDM approach for choosing a tourism destination in Portugal. Int. J. Business and Sistems Research. 2016;Vol. 10, No. 1

Zaeri M, Sadeghi A, Naderi A, Kalanaki A, Fasihy R, Shorshani Hosseini SM, Poyan A.. Application of multi kriteria decision making technique to evaluation suppliers in supply chain management. African Journal of Mathematics and Computer Science Research. ISSN 2006-9731©2010 Academic. 2011; Vol. 4 (3)

Kargi AVS. Supplier Selection for A Textile Company Using the Fuzzy TOPSIS Method. Yönetim Ve Ekonomi Yıl:2016 Cilt:23 Sayı:3. Makale Gönderim Tarihi: 18.03.2016 / Yayına Kabul Tarihi: 19.10.2016) Doi Number: 10.18657/yonveek.281965. 2016

Ashrafzadeh M, Rafiei FM, Isfahani, NM, Zare Z. Application of fuzzy TOPSIS method for the selection of Warehouse Location: A Case Study. Institute of Interdisciplinary Business Research. 2012; Vol. 3, No. 9

Nouri J, Arjmandi R, Riazi B, Aleshekh AA, Motahari A. Comparing Multi-Kriteria Decision-Making (Mcdm) Tool and Huff Model to Determine the Most Appropriate Method for Selecting Mountain Tourism Sites. Environmental Engineering and Management Journal, January 2016; Vol.15, No. 1, http://omicron.ch.tuiasi.ro/EEMJ/

Matin HZ, Fathi MR. The Application of Fuzzy TOPSIS Approach to Personnel Selection for Padir Company, Iran. Journal of Management Research ISSN 1941-899X. , 2011; Vol. 3, No. 2: E15

Nadaban S, Dzitac S, Dzitac L. Fuzzy TOPSIS: A General View. Information Technology and Quantitative Management (ITQM). Procedia Computer Science 91. 2016; ScienceDirect

Nasab F.G, Malkhalifeh M.R. Extension of TOPSIS for Group Decision-Making Based on the Type-2 Fuzzy Positive and Negative Ideal Solutions. Int. J. Industrial Mathematics. 2010; Vol. 2, No. 3

Rekik R, Kallel L, Casillas J, Alimi AM. Using Multiple Kriteria Decision Making Approaches toAssess the Quality of Web Sites. International Journal of Computer Science and Information Security (IJCSIS). 2016; Vol. 14, No. 7

Chen CT. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Sistems 114, PII: S0165-0114(97)00377-1 www.elsevier.com/locate/fss.2000

Chang KL. The Use of a Hybrid MCDM Model for Public Relations Personnel Selection. INFORMATICA, 2015, Vol. 26, No. 3, DOI: http://dx.doi.org/10.15388/Informatica.2015.54

Munassar NMA, A Comparison Between Five Models Of Software Engineering. IJCSI International Journal of Computer Science Issues. 2012; Vol. 7, Issue 5, ISSN (Online): 1694-0814

Reddy A.RM, Govindarajulu P, Naidu MM. A Process Model for Software Architecture. IJCSNS International Journal of Computer Science and Network Security. 2007; VOL.7 No.4

Pressman, Roger S. Software Engineering A Practitioner’s Approach. McGraw-Hill, an imprint of The McGraw-Hill Companies, Inc. ISBN 0073655783. 2001

Satzinger JW, Jackson RB, Burd SD. Sistems Analysis and Design in A Changing World. Sixth Editition. Boston, MA: Course Technology. ISBN-13: 978-1-111-53284-0. 2012

Bassil Y. A Simulation Model for the Waterfall Software Development Life Cycle. International Journal of Engineering & Technology (iJET ), ISSN: 2049-3444. 2012; Vol. 2, No. 5. 255895133318216.pdf

Sommerville I, 2011. Software Engineering. Pearson Education, Inc. Addison-Wesley

Shelly GB, Rosenblatt HJ.. Sistems Analysis and Design, Ninth Edition. Boston, MA. Course Technology. ISBN-13: 978-0-538-48161-8. 2012


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