Integrasi Sentiment Analysis SentiWordNet pada Metode MOORA untuk Rekomendasi Pemilihan Smartphone

  • Indra Hidayatulloh Institut Teknologi Telkom Purwokerto
  • Muhammad Zidny Naf’an Institut Teknologi Telkom Purwokerto
Keywords: sistem pendukung keputusan, MOORA, sentiment analysis, SentiWordNet, smartphone

Abstract

Besides specification and price, smartphone reviews can affect on consumer interest buying. This study aims to use the value of smartphone review sentiment as one of the attributes/criterias in addition to specifications and prices on the calculation of Decision Support System using MOORA method to generate smartphone recommendations. Sentiment value is obtained from sentiment analysis using SentiWordNet. There are two approaches of MOORA method used in this research, Ratio System and Reference Point Approach. Testing has been done by comparing the results of smartphone recommendations between approaches on the MOORA method, with or without sentiment analysis, on smartphone rankings based on the number of smartphone fans on the GSM Arena site. The test results show that the method of MOORA with Ratio System approach without sentiment analysis has the best accuracy among other approaches.

References

A. F. Pratama, “Pengusaha Pemula E-Commerce di Indonesia Punya Banyak Peluang,” Tribunnews, 2015. [Daring]. Tersedia pada: http://www.tribunnews.com/bisnis/2015/08/19/pengusaha-pemula-ecommerce-di-indonesia-punya-banyak-peluang.

Y. F. C. Pamungkas, “Pengaruh Orientasi Pembelian, Kepercayaan dan Pengalaman Pembelian Online,” Thesis, Universitas Atma Jaya Yogyakarta, Indonesia, 2014.

H. Samuel dan A. S. Lianto, “Analisis Ewom, Brand Image, Brand Trust dan Minat Beli Produk di Surabaya,” J. Manaj. Pemasar., vol. 1, no. 2, hal. 47–54, 2014.

M. R. Jalilvand, “The Effect of Electronic Word-of-Mouth on Brand Image and Purchase Intention,” Journals Mark. Intel. Plan., vol. 30, no. 4, 2012.

I. Hidayatulloh dan M. Z. Naf’an, “Metode MOORA dengan Pendekatan Price-Quality Ratio untuk Rekomendasi Pemilihan Smartphone,” Seminar Nasional Teknologi Informasi dan Aplikasi Komputer, 2017, hal. 62–68.

K. U. Mandal dan B. Sarkar, “Selection of Best Intelligent Manufacturing System (IMS) Under Fuzzy MOORA Conflicting MCDM Environment,” Int. J. Emerg. Technol. Adv. Eng., vol. 2, no. 9, hal. 301–310, 2012.

N. D. Putranti dan E. Winarko, “Analisis Sentimen Twitter untuk Teks Berbahasa Indonesia dengan Maximum Entropy dan Support Vector Machine,” IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 8, no. 1, hal. 91–100, 2014.

A. Yadollahi, A. G. Shahraki, dan O. R. Zaiane, “Current State of Text Sentiment Analysis from Opinion to Emotion Mining,” ACM Comput. Surv., vol. 50, no. 2, hal. 1–33, 2017.

A. Esuli dan F. Sebastiani, “SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining,” Proc. 5th Conf. Lang. Resour. Eval., hal. 417–422, 2006.

S. Baccianella, A. Esuli, dan F. Sebastiani, “SENTIWORDNET 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining,” Language Resources and Evaluation Conference, 2010, vol. 10, hal. 2200–2204.

A. Esuli dan F. Sebastiani, “Determining Term Subjectivity and Term Orientation for Opinion Mining,” Proc. 11th Meet. Eur. Chapter Assoc. Comput. Linguist., vol. 2, no. 1, hal. 193–200, 2006.

DI Marketing, “Smartphone Usage in Indonesia,” 2016. [Daring]. Tersedia pada: http://www.dionlinesurvey.com/en/2016/07/07/smartphone-usage-in-indonesia/. [Diakses: 27-Sep-2017].

S. Wisnugroho, “Membuat Web Scraper di Node.js,” 2017. [Daring]. Tersedia pada: https://medium.com/skyshidigital/membuat-webscraper-di-node-js-497c59628042. [Diakses: 01-Nov-2017].

H. Causa dan W. K. M. Brauers, “Location of a Seaport by MOORA Optimization,” 2014 Int. Conf. Adv. Logist. Transp. ICALT 2014, hal. 275–280, 2014.

W. K. M. Brauers, E. K. Zavadskas, Z. Turskis, dan T. Vilutiene, “Multi‐objective Contractor’s Ranking by Applying the MOORA Method,” J. Bus. Econ. Manag., vol. 9, no. 4, hal. 245–255, 2008.

W. K. M. Brauers dan E. K. Zavadskas, “The MOORA Method and its Application to Privatization in a Transition Economy,” Control Cybern., vol. 35, no. 2, hal. 445–469, 2006.

P. Nijkamp dan A. va. Delft, Multi-Criteria Analysis and Regional Decision-Making, 1 ed. Springer Science & Business Media, 1977.

S. Karlin dan W. J. Studden, “Tchebycheff Systems: With Applications in Analysis and Statistics,” SIAM Rev., vol. 9, no. 2, hal. 257–258, 1966.

H. A. Putranto, O. Setyawati, dan A. L. Belakang, “Pengaruh Phrase Detection dengan POS -Tagger terhadap Akurasi Klasifikasi Sentimen menggunakan SVM,” JNTETI, vol. 5, no. 4, hal. 252–259, 2016.

Published
2018-03-05
How to Cite
Indra Hidayatulloh, & Muhammad Zidny Naf’an. (2018). Integrasi Sentiment Analysis SentiWordNet pada Metode MOORA untuk Rekomendasi Pemilihan Smartphone. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 7(1), 21-26. Retrieved from https://dev.journal.ugm.ac.id/v3/JNTETI/article/view/2788
Section
Articles