Pemilihan Wilayah Alternatif Terbaik Dengan Menggunakan Metode Multi Criteria Decision Making
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Abstract
Sebagian besar wilayah perbatasan memegang peranan penting dalam rantai global perekonomian. Dimensi ekonomi sangat mewarnai sifat dari wilayah perbatasan, apakah kemungkinan tersebut menjadi sebuah keuntungan ataupun kerugian dari wilayah perbatasan sangat tergantung pada persoalanyang dihadapi dan solusi yang diberikan pemerintah sebagai pemangku kebijakan. Indikator pertumbuhan ekonomi suatu daerah dapat dilihat dari Produk Domestik Regional Buto (PDRB) harga berlaku dan harga konstan menurut delapan kriteria lapangan usaha. Kriteria ini sangat berpengaruh dalam menentukan tingkat pertumbuhan ekonomi suatu daerah sampai pada level tertentu agas bisa diketahui dengan jelas posisi pertumbuhan ekonomi setiap wilayah. Penentuan wilayah perbatasan dengan tingkat pertumbuhan ekonomi terbaik membutuhkan sebuah sistem pendukung keputusan (SPK) untuk membantu memberikan solusi alternatif. Penelitian ini membahas tentang pemilihan wilayah perbatasan dengan PDRB tertinggi berdasarkan kriteria-kriteria yang telah ditentukan dan melakukan perangkingan terhadap wilayah perbatasan yang terpilih tersebut dengan menggunakan metode MCMD (Multi Criteria Decision Making). Alternatif yang telah terpilih merupakan wilayah perbatasan dengan pertumbuhan ekonomi tertinggi berdasarkan kriteria PDRB dan menjadi rekomendaasi bagi permerintah daerah dalam menyusun Rencana Pembangunan jangka menengah dan jangka panjang
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References
Akaha, T., dan Vassilieva, A., 2005, Crossing National Borders: Human Migration Issues in Northeast Asia, Japan, United Nations University Press., 1-13.
BPPD Kabupaten TTU, 2012, Profil Perbatasan RI-RDTL.,Kefamenanu.
BPS TTU, 2012, Kabupaten Timor Tengah Utara Dalam Angka 2008 – 2012.
Chen, C.B., dan Klein., 1997, An Efficient Approach to Solving Fuzzy MADM Problems, Fuzzy sets and Systems 88, 51-67.
Chen, T.Y., 2012, Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets: Discussions on score functions and weight constraints. Expert Systems with Applications 39, 1848–1861.
Chou, Y.S., Chang, H.Y., dan Shen, Y.C., 2008, A fuzzy Simple Additive Weighting system under group decision-masking for facility location selection with objective/subjective attributes, European Journal of Operational Research 189, 132–145.
Kahraman, C., 2008, Fuzzy Multi-Criteria Decision Making : Theory and Applications with recent developments, Springer Optimization and its Applications Vol. 16, 1-18
Kusumadewi, S., Hartati, S., Harjoko, A., dan Wardoyo, R., 2006, Fuzzy Multi Atribut Decision Making (Fuzzy MADM), Graha Ilmu, Jogyakarta, Edisi pertama.
Kusumadewi, S., dan Purnomo, H., 2010, Aplikasi logika Fuzzy untuk pendukung keputusan, Graha Ilmu, Jogyakarta, Edisi Kedua.
Modarres, M., dan Nezhad, S.S., 2005, Fuzzy Simple Additive Weighting method by preference ratio, Intelligent Automation and Soft Computing, Vol. 11, No. 4, 235-244.
Simanaviciene R., dan Ustinovichius L., 2010, Sensitivity Analysis for Quantitative Decision Making Methods: TOPSIS and SAW, Proceedings of the 16th International Conference on Information and Software Technologies, Lithuania., 33-38.
Suryadi, K., 2000, Sistem Pendukung Keputusan, PT. Remaja Karya, Bandung.
Niebuhr, A., dan Stiller, S., 2002., Integration Effect in Border Regions – A Survey of Economic Theory and Empirical Studies, in 42nd Congress of the European Regional Science Association “From Industry to Advanced Services – Perspectives of European Metropolitan Regions” August 27th – 31st, Dortmund-Germany., 1-23.
Tan, R., dan Culaba, A., 2005, A Fuzzy Support Model for The Selection Environment Friendly Fuels for Road Vehicles, Journal of the Eastern Asia Society for The Transportation Studies, Vol. 6, 3264 – 3275.
Tseng, G.H., dan Huang, J.J., 2011, Multiple Attribute Decision Making, Methods and Applications. CRC Press, Boca Raton.
Tarigan, R., 2005, Ekonomi Regional Teori dan Aplikasi. Edisi Revisi, Jakarta : Bumi Aksara.
Turban, E., Aronson, Jay E., dan Liang, T.P., 2005, Decision Support System and Intelligent System, Edisi Ketujuh, Yogyakarta: Andi.