Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal ELINVO (Electronics, Informatics, and Vocational Education) Journal of Robotics and Control (JRC) Journal of Engineering and Applied Technology Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal INFOTEL Control Systems and Optimization Letters
Indra Hidayatulloh
(Scopus ID: 56288307000) Department Of Electronics And Informatics Engineering Education, Faculty Of Engineering, Universitas Negeri Yogyakarta, Yogyakarta
Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Nasional Teknik Elektro dan Teknologi Informasi

 1 
Integrasi Sentiment Analysis SentiWordNet pada Metode MOORA untuk Rekomendasi Pemilihan Smartphone Indra Hidayatulloh; Muhammad Zidny Naf’an
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 1: Februari 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1280.07 KB)

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.
Co-Authors Ardy Seto Priambodo Emi Iryanti Faisal Yudo Hernawan Faris Yusuf Baktiar Gilang Nugraha Putu Pratama Herman Dwi Surjono Ipam Fuaddina Adam Mentari Putri Jati Muhammad Zidny Naf'an Naf’an, Muhammad Zidny Novanda Alim Setya Nugraha Oktaf Agni Dhewa Rizky Hidayat Prasetyo Sigit Pambudi Totok Sukardiyono Vito Pratama Putra Setyadharma