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dc.contributor.authorSulistyanto, Hernawan
dc.contributor.authorNurgiyatna
dc.date.accessioned2016-02-10T01:05:46Z
dc.date.available2016-02-10T01:05:46Z
dc.date.issued2015-10-15
dc.identifier.citationDing, Y., Litz, Y., Malaka, R., and Pfisterer, D. 2003. On programming information agent systems: an integrated hotel reservation service as case study. LNAI 2831. E-book of Springer-Verlag Berlin Heidelberg:. 50–61. Hartati, S. 2006. Natural language processing for studying Javanese language based on fuzzy logic and computational linguistic, e-paper dalam Proceeding on International Conference in Science and Technology Application in Industry and Education Hartati, S dan Zuliarso, E. 2008, Aplikasi pengolahan bahasa alami untuk query basis data XML, e-paper dari Dinamik-Jurnal Teknologi Informasi, Vol. 13, No. 2. Kao, A., and Poteet, S.R. 2007. Natural language processing and text mining, London: ebook of Springer-Verlag. Liu, L., Li, X. and Wang, Y-Y. 2011. Lexicon modelling for query understanding, e-paper on IEEEXplore in Proceeding of ICASSP, pp. 5604-5607. McTavish, C. and Sankaranarayanan, S. 2010. Intelligent agent based hotel serach & booking system, e-paper on IEEEXplore. Mistica, M., Lau, J.H., dan Baldwin, T. 2013. Unsupervised word class induction for under-resourced languages: a case study on Indonesian, e-paper on IEEEXplore in IJCNLP, Nagoya, Japan Raharjo, S., dan Hartati. 2014. Antarmuka bahasa alami untuk melakukan query terhadap terjemahan Alquran, e- paper dari Jurnal Teknologi, Vol. 7 No. 1, Juni: 12-19. Ratnasari, C.I., Kusumadewi, S., dan Rosita, L. 2014. Model natural language processing untuk perumusan keluhan pasien, e-paper dalam Proceeding on Seminar Nasional Medis V, 6 Desember, MTI, FTI, UII. Wibisono, S. 2013. Aplikasi pengolahan bahasa alami untuk query basisdata akademik dengan format data xml, e- paper dari Jurnal Teknologi Informasi, Vol. 18, No. 1, Januari: 65-79.in_ID
dc.identifier.issn1412-9612
dc.identifier.urihttp://hdl.handle.net/11617/6591
dc.description.abstractThe modeling for Hotel occupancy representation will be complex problem because the presentation has linked with the other process, such as; arrival reservation, cancelation, length of stay, no-show, group reservation, seasonality and so on. Therefore, in brief, the appearing problems that are rise up now is not on limiting workers or capital, but more to providing information in reservation management. Information assessing should give facility by providing integral from data reservation of many information sources through hotels link. Stepping from this problem, so there is recommendation of providing the software for reservation systems based on natural language processing. The existing of natural language processing based reservation by hoping to manage guest candidate placement process at the room of hotel as in line with their own preferences.in_ID
dc.language.isoidin_ID
dc.publisherUniversitas Muhammadiyah Surakartain_ID
dc.subjecthotel roomin_ID
dc.subjectnatural language processingin_ID
dc.subjectreservationin_ID
dc.titlePENGEMBANGAN MODEL PENCARIAN KAMAR PADA SISTEM RESERVASI HOTEL DENGAN ANTARMUKA BAHASA ALAMIin_ID
dc.typeArticlein_ID


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