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All Journal Jurnal Rekayasa Jurnal Rekayasa Sipil dan Desain Buletin Sumber Daya Geologi JURNAL ABDIMAS TRIDHARMA MANAJEMEN These proceedings represent the work of researchers participating in The International Conference on Elementary Education (ICEE) which is being hosted by the Elementary Education Study Programme School of Postgraduate Studies, Universitas Pendidikan Prosiding University Research Colloquium TECHNOVATAR
Setyanto Setyanto
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Social Sciences Other

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Journal : TECHNOVATAR

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IMPLEMENTASI SVM-PSO DALAM ANALISIS SENTIMEN PENGGUNA GOOGLE PLACE REVIEW DI MARKAS CAFE Rosmawan, Hendri; Setyanto, Setyanto; Wibowo, Ferry Wahyu
TECHNOVATAR Jurnal Teknologi, Industri, dan Informasi Vol. 2 No. 4 (2024): OKTOBER
Publisher : Awatara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61434/technovatar.v2i4.230

Abstract

Sentiment analysis plays an important role in understanding customer perceptions of businesses, allowing companies to respond more effectively to customer needs and satisfaction. This study aims to evaluate the performance of a Support Vector Machine (SVM) model optimized with Particle Swarm Optimization (PSO) in classifying the sentiment of user reviews on Markas Cafe. The dataset consists of 1,533 user reviews categorized into three sentiment classes: positive, neutral, and negative. The optimization process using PSO is used to find the optimal SVM parameters. The results showed that the SVM-PSO model achieved an accuracy of 87.7% and an Area Under Curve (AUC) of 0.85, with the best performance on positive sentiment (94.7% precision and 92.8% recall). Although the model showed good ability in detecting positive sentiments, the results for neutral and negative sentiments indicated the need for further improvement. This study confirms the effectiveness of SVM-PSO in sentiment analysis and suggests this approach can be utilized by businesses to improve marketing and customer service strategies based on user feedback.
Co-Authors A Ricky Aprinal AA Sudharmawan, AA Achmad Paksi Firdaus Achmad Satria Nursar Achmad Wibrian Adama, Riri Arinda Ade Setiawan Adyaksa, R. Nofan Hendra Ahmad Akbar, Ahmad Ahmad Herison Ahmad Zakaria Aldy Fernanda Alhadi Pratama Bintang Alward Farabi Amril Ma'ruf Siregar Ma'ruf Siregar Andius Dasa Putra Anggraeni, Ninik Annisa Wulansari Aria Febriantama Aryawan, Aryawan Aryawan, Aryawan Astri Novalia Aulia Vinandhitha Celestia Lisdayanti Chintia Makki Christian Prasenda Dedi . DELLA ANDANDANINGRUM Dhyna Annisa Maghfira Bahagianda Diah Larasati Dony Rizky Pratama Elfrida Ratnawati Feby Aristia Putri Ferry Wahyu Wibowo Giwa Wibawa Permana hermawan arbenta Hidayatulloh, Anwar Idharmahadi Adha Idharmahadi Adha ikko rasita sari Indah Mahesa Iswan Iswan Karimah, Nur karina apriliani puspa zulmi Linda, Rizky Fadjar Choirul Lisdayanti, Celestia Lusmeilia Afriani Lusmeilia Afriani M Rizky Ismail M Thata Dinata Martha Helmahera Miranti, Yesi Muhammad Aldani Muhammad Jafri Muhammad Jafri mutia andriani Mutiara Prestika Ngazizah, Nur Nur Arifaini Nurita, Endang Ofik Taufik Purwadi Ofik Taufik Purwadi, Ofik Taufik Pangestika, Rintis Rizkia Prasetio Putro Prabowo Purwanto Purwanto R. NOFAN HENDRA ADYAKSA Rahayu Sulistiyorini Rahayu Sulistuyorini Rahayu Sulistyorini Rahayu Sulistyorini Restu Agusni Riansyah Putra Rifai, Akbar Prima rifan wiguna Risqon Septian Rosmawan, Hendri Setiady, Setiady Setiady, Setiady Sherliana Sherliana Sitanggang, Suwita Febrina Siti Zahhara Ulfa Situmeang, Tipo Putra Slamet Widodo Sulistuyorini, Rahayu suwita febrina Sitanggang Syahreza Nurdian tessya febrania Vibriana, Evita Vinandhitha, Aulia Wenny Dwi Tiara Ayu Syaputri Widyastuty Utami Yansaputra, Galih YESI MIRANTI Yohanes Martono Hadi Yupi Ardianto Yusak Maryunianta