IMPLEMENTATION OF THE WASPAS METHOD FOR DETERMINING THE QUALITY OF WOOD TYPES OF FURNITURE MATERIALS
(1) Study Program of Informatics Engineering, Al-Khairiyah University, Cilegon, Banten
(2) Study Program of Software Engineering Technology, Krakatau Polytechnic, Cilegon, Banten
(3) Study Program of Information Systems, FTIKOM, Bakti Nusantara Institute, Lampung
Corresponding Author
Abstract
After Brazil, Indonesia have forest Rain tropical biggest second, and have diversity rich life, incl wood quality tall. Component the main thing really influence caliber furniture or craft wood other is wood. So from that is, create an election program quality wood best For material Furniture with use Draft System Supporter decision. The method that will be used in study This adalan WASPAS method. In collecting data using method literature study, observation, interviews with gather a number of criteria and alternatives. There are five criteria used that is texture strong materials, minimal maintenance, no easy burn, hold on to pest, no Lots absorb water. For alternative taken there are five types wood, that is wood teak, albizia, medang, cempaka, and mahogany. Alternative Test Results obtained, the wood is considered worthy and possessing quality best for material standard Mebelar is Cempaka with calculation results with a value of 92.25.
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References
B. E. Turban, J. E. Aronson, and T. Liang, Decision Support System and Intelegent System, 7th Ed. Ji. Yogyakarta: Penerbit Andi Yogyakarta, 2005.
E. Turban, J. E. Aronson, and T.-P. Liang, Decision Support Systems and Intelligent Systems, 7th ed. Prentice Hall, 2004.
S. Chakraborty, E. K. Zavadskas, and J. Antucheviciene, “Applications of WASPAS method as a multi-criteria decision-making tool,” Econ. Comput. Econ. Cybern. Stud. Res., 2015.
E. K. Zavadskas, Z. Turskis, J. Antucheviciene, and A. Zakarevicius, “Optimization of weighted aggregated sum product assessment,” Elektron. ir Elektrotechnika, 2012.
E. N. Fredy Novyanto, “Penentuan Jenis Kayu Untuk Bahan Meubel Dengan Metode SAW,” JIRE (Jurnal Inform. Rekayasa Elektron., vol. 5, no. 2, pp. 191–200, 2022.
F. A. Titin Kristiana, “Pemilihan Kualitas Kayu Terbaik Pada PT. Rumah Kayu Kita Dengan Metode Weighted Product,” JSAI J. Sci. Appl. Informatics, vol. 3, no. 3, pp. 70–76, 2020.
Y. B. Andalas Rivaldi Permana, “Sistem Pendukung Keputusan Pemilihan Kayu Di Toko Bangunan Jeruju Permai Dengan,” JIKA (Jurnal Inform., no. November, pp. 52–56, 2020.
S. Kusumadewi, S. Hartati, A. Harjoko, and Retanto Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta: Graha Ilmu, 2013.
Kisworo, “FMADM : YAGER MODEL IN FUZZY DECISION MAKING,” J. Teknokompak, vol. 12, no. 1, pp. 1–4, 2018.
Kisworo, “FMADM : Yager Model in Fuzzy Decision Making,” J. Tekno Kompak, vol. 12, no. 1, pp. 1–4, 2018.
J. Y. Pak, V. V. Thai, and G. T. Yeo, “Fuzzy MCDM Approach for Evaluating Intangible Resources Affecting Port Service Quality,” Asian J. Shipp. Logist., vol. 31, no. 4, pp. 459–468, 2015.
J. A. Annema, N. Mouter, and J. Razaei, “Cost-benefit analysis (CBA), or multi-criteria decision-making (MCDM) or both: Politicians’ perspective in transport policy appraisal,” Transp. Res. Procedia, 2015.
A. D. A. Nurdiana Handayani, Nofitri Heriyani, Fajar Septian, “Multi-Criteria Decision Making Using the WASPAS Method for Online English Course Selection,” J. TEKNOINFO, vol. 17, no. 1, pp. 260–270, 2023.
J. R. S. C. Mateo, “Weighted sum method and weighted product method,” in Green Energy and Technology, 2012, vol. 83, pp. 19–22.
M. Muslihudin, R. Fitri Andriyanti, S. Mukodimah, P. Sistem Informasi, and S. Pringsewu Lampung, “Implementasi Metode Weighted Product Menentukan Beasiswa Bidik Misi Stmik Pringsewu,” Jatisi, vol. 4, no. 2, 2018.
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DOI: 10.56327/jurnaltam.v14i2.1636
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