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All Journal Techno.Com: Jurnal Teknologi Informasi BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) IJID (International Journal on Informatics for Development) Jurnal Informatika dan Rekayasa Elektronik JISA (Jurnal Informatika dan Sains) International Journal of Engineering, Technology and Natural Sciences (IJETS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) International Journal of Applied Business and Information Systems Fidelity : Jurnal Teknik Elektro Jurnal Informatika Teknologi dan Sains (Jinteks) Medika Trada
Rodhiyah Mardhiyyah
Universitas Teknologi Yogyakarta
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Journal : Journal of Computer System and Informatics (JoSYC)

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Analisis Sentimen Terhadap Review Google Maps Jogja City Mall Menggunakan Algoritma Support Vector Machine Aryanto, Putri Marceliana; Mardhiyyah, Rodhiyah
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6045

Abstract

Sentiment analysis works with calculating the total of reviews based on given labels. Reviews that had specific labels would be classified with other reviews that had same labels. This study used Support Vector Machine (SVM) method for analysing of reviews of Google Maps users who had visited Jogja City Mall in Sleman, Special Region of Yogyakarta. In previous studies, SVM was proved several times superior in accuracy score and the accuracy of sentiment classification. SVM model for sentiment analysis in this study was successfully created with accuracy score was 84% and 85% in K-Folds testing. With the total of testing data was 20% out of 1694 data, the total amount of positive label was so much more than the total amount of negatif label. This means the rate of 4.6 stars for Jogja City Mall is relevant with the reviews that were given. The analysis of imbalance review data and the correlation between the stars rating and sentiment that were extracted may contribute to a deeper understanding of consumer behavior in the mall, providing practical implications for mall management in improving customer experience.
Co-Authors Abadi, Anis Susila Abdul Haris Kuspranoto Ahmad Syaifudin Alfatih, Muhammad Fa’iz Ali Habibie, Raihan Ghifari Aryanto, Putri Marceliana Bayu Ari Pratama Devi Ratnasari Evodi, Gabriel Jevon Haaerun, Hazim Althaf Haris Kuspranoto, Abdul Hayati, Nuvita Nur Heni Pujiastuti Indriaswari, Raden Ayu Janica Rahmaditha Junanda, David Bagus Machfud, Achmad Agim Nur Istiqomah Nuryadi, Satyo Prasetya, R. Imam Budi Pratiwi, Chyntia Elsa Salsabilla, Nazwa Aila Subrata, Febrina Cinta Tamam, Muhammad Mundzir Taruno, Restiadi Bayu Van Bawono, Maganda Jannati Yana Hendriana Zulkhairi Zulkhairi Sofyan