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(Universitas Islam Indonesia, Indonesia)(2) Syafira Mahardiningtyas
(Universitas Islam Indonesia, Indonesia)(3) * Qurtubi Qurtubi
(Universitas Islam Indonesia, Indonesia)*corresponding author
AbstractThe development of technology and media has made online data reviews a promising data source. Through machine learning utilizing text processing, data analysis of Ventela Public Low product reviews can be carried out—sentiment analysis is used to find class groups from each data. The classification algorithm is Naïve Bayes and Support Vector Machine (SVM). A classification model with the best performance and accuracy values will be selected. Word association is then applied to obtain information from the required class. Quality Function Deployment (QFD) is a tool used to assist designers in developing products. The results of the integration of sentiment analysis into QFD show that sentiment analysis produces information by the provisions of the QFD method and can support the product development process in terms of the amount of data various data topics and reduces the subjectivity of designers at the stage of determining Voice of Customer (VOC) and performance values of products and competitors
KeywordsMachine learning; Naïve Bayes; QFD, SVM
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DOIhttps://doi.org/10.29099/ijair.v7i2.1100 |
Article metrics10.29099/ijair.v7i2.1100 Abstract views : 246 | PDF views : 39 |
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References
G. Eason, B. Noble, and I.N. Sneddon, “On certain integrals of Lipschitz-Hankel type involving products of Bessel functions,” Phil. Trans. Roy. Soc. London, vol. A247, pp. 529-551, April 1955. (references)
IMARKETOLOGY, "Apa yang Diungkapkan Data Tentang Pasar Online Indonesia dan Global?," academy.getcraft.com, 21 April 2020. [Online]. Available: https://academy.getcraft.com/id/blog/apa-yang-diungkapkan-data-tentang-pasar-online-indonesia-dan-global. [Accessed 21 April 2020].
A. Farki, I. Baihaqi and B. M. Wibawa, 2016, "Pengaruh Online Customer Review dan Rating Terhadap Kepercayaan dan Minat Pembelian pada Online Marketplace di Indonesia," Jurnal Teknik ITS, vol. 5, no. 2, pp. A614-1619.
H., 2016, "Big Data Analisis: Sebuah Peluang dan Tantangan Lulusan Informatika Dalam Menghadapi Pasar Global di Indonesia Timur," in Proceedings Seminar Nasional Riset Ilmu Komputer (SNRIK), Makassar.
Y. A. Krisdamarjati, "Ventela dan Tantangan Popularitas Sepatu Lokal di Indonesia," kompas.id, 29 Februari 2020. [Online]. Available: https://kompas.id/baca/riset/2020/02/29/ventela-dan-tantangan-popularitas-sepatu-lokal-di-indonesia/. [Accessed 06 Agustus 2020]..
C. Resmi, "Ventela, Sepatu Lokal Bandung yang Mulai Hits di Kalangan Milenial," urbanasia.com, 25 November 2019. [Online]. Available: https://www.urbanasia.com/ventela-sepatu-lokal-bandung-yang-mulai-hits-di-kalangan-milenial-U5995. [Accessed 06 Agustus 2020].
indoworx.com, "Inilah 7 Produk Gagal Dari Perusahaan Terkenal," indoworx.com, 14 Mei 2018. [Online]. Available: https://www.indoworx.com/produk-gagal-dari-perusahaan-terkenal/. [Accessed 21 April 2020].
F. Sebastiani, 2002, "Machine Learning in Automated Text Categorization," ACM Computing Surveys, vol. 34, no. 1, pp. 1-49.
N D. M. Powers, 2007, "Evaluation: From Precision, Recall, and F-Factor," Technical Report SIE-07-001, pp. 1-22.
W. Arini, 2003, Manajemen Kualitas, Jakarta: Ghalia Indonesia.
D. L. Goetsch and S. B. Davis, 2000, Quality Management: Introduction to Total Quality Management for Production Processing and Services, New Jersey: Pretince Hall.
V. Gasperz, 1988, Manajemen Kualitas Dalam Industri Jasa, Jakarta: Gramedia Pustaka Umum.
F. Gorunescu, 2011, Data Mining Concept, Models, and Techniques, Berlin: Springer.
S. Evert and B. Krenn, 2001, "Methods for Qualitative Evaluation of Lexical Association Measures," in Proceedings of the 39th Annual Meeting on Association for Computational Linguistics, Toulouse.
S. Evert, 2005, The Statistics of Word Cooccurrences Word Pairs and Collocation, Stuttgart: University of Stuttgart.
E. A. Cudney and C. C. Elrod, 2011, "Quality Function Deployment in Continuous Improvement," intechopen.com, pp. 3-78.
J. W. G. Putra, 2020, Pengenalan Konsep Pembelajaran Mesin dan Deep Learning Edisi 1.3, Tokyo: self-published-work.
B. Santosa, 2007, Data Mining Teknik Pemanfaatn Data Untuk Keperluan Bisnis, Yogyakarta: Graha Ilmu.
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