Penerapan Metode Multi-Attributive Border Approximation Area Comparison (MABAC) dalam Menentukan Tingkat Kepuasan Pelanggan Agung Toyota Tanjungpinang
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Mustakini, H. (2009). Analisis dan Design. Yogyakarta, Penerbit Andi.
Kadir, Abdul. (2008). Dasar pemrograman web dinamis menggunakan PHP. Yogyakarta, Penerbit Andi.
Kadir, Abdul, (2002). Pengenalan Sistem Informasi. Yogyakarta, Penerbit Andi.
Raharjo, Budi. (2019). Pemrograman web dengan node.js dan javascript, Bandung, Informatika.
Sutabri, Tata. (2007). Konsep Dasar Informasi. Yogyakarta, Andi Offset.
Daryanto, Setyobudi, I. (2014). Konsumen dan Pelayanan Prima. Yogyakarta, Gava Media.
Indrasari, Meithiana. (2019). Pemasaran dan Kepuasan Pelanggan. Surabaya, Unitomo Press.
Syah, Arman. (2021). Manajemen Pemasaran Kepuasan Pelanggan. Bandung, Widina.
Peide Liu, P. Z. (2022). A normal wiggly hesitant fuzzy MABAC method based on CCSD and prospect theory for multiple attribute decision making. International Journal Of Intelligent System, 12511-12533
Wang, j. et all (2020). MABAC method for multiple attribute group decision making under q-rung orthopair fuzzy environment. Defence Technology, 208-216.
Jiade Tan, e. a. (2022). An extended MABAC method based on prospect theory with unknown weight information under Fermatean fuzzy environment for risk investment assessment in B&R. Journal of Ambient Intelligence and Humanized Computing, 1-30.
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