Detail Integration of Latent Dirichlet Allocation and quality function deployment to analyze hotel service quality based on TripAdvisor (article of Journal of Applied Research and Technology 20 (2022) 594-605) Bibliografi Author: Sukwadi, Ronald ; Atmaja, F.X. Brian Tristya ; Gary Yu-Hsin Chen Topik: hotel; service quality; Latent Dirichlet Allocation (LDA); Quality Function Deployment (QFD); JABFUNG-FT-RS-2023-18 Bahasa: (EN )     Penerbit: Universidad Nacional Autónoma de México, Ciudad Universitaria     Tempat Terbit: Delegación Coyoacán, Ciudad de México    Tahun Terbit: 2022     Jenis: Article - diterbitkan di jurnal ilmiah internasional Fulltext: JART2022.pdf (437.79KB; 6 download) [Informasi yang berkaitan dengan koleksi ini di internet] Abstract The main goals of this research are to determine customers’ requirements from hotels based on TripAdvisor and the technical capabilities to fulfill customers’ requirements. Latent Dirichlet Allocation (LDA) used in this research is the method to determine the customer requirements based on review from TripAdvisor. An output from the LDA method is used as input to Voice of Customer (VOC) in the quality function deployment (QFD). A hotel is selected to be a case study for implementing the integration of LDA and QFD. Questionnaires are distributed to the respondents for the purposes of filling the QFD. The absolute weight, relative weight, absolute importance and relative importance from the QFD with the highest scores are determined as the major capabilities to fulfill customers’ requirements. Suggestion given to the hotel based on output from the QFD. The suggestions for the hotel in this research were unannounced inspections and notes for list of problem to be solved immediately by the hotel. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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