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All Journal Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Sistem Informasi Kaputama (JSIK) JATI (Jurnal Mahasiswa Teknik Informatika) JOINT (Journal of Information Technology MEANS (Media Informasi Analisa dan Sistem) Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Informatika Terpadu Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Journal of Artificial Intelligence and Engineering Applications (JAIEA) AMMA : Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Manajemen SRODJA
Hayati, Umi
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Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Social Sciences

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Journal : Jurnal Informatika Terpadu

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Analisis Algoritma K-Nearest Neighbor terhadap Sentimen Pengguna Aplikasi Shopee Saifurridho, Muhammad; Martanto, Martanto; Hayati, Umi
Jurnal Informatika Terpadu Vol 10 No 1 (2024): Maret, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v10i1.1054

Abstract

One way to gauge users' thoughts and sentiments towards a particular product, service, or subject is by conducting sentiment analysis on reviews posted on the Google Playstore platform. Among the plethora of apps available on the Google Playstore is Shopee. Due to the vast and unstructured nature of user comments in the review section, it becomes challenging to quickly and accurately grasp the overall information. This research aims to classify sentiments as positive, negative, or neutral, with the hope that the Shopee app can improve. Hence, the K-Nearest Neighbor Algorithm is employed to analyze sentiments to ensure users' opinions regarding their interaction with the Shopee program. Sentiment analysis is utilized to categorize reviews into positive, neutral, and negative groups. A dataset of 2000 entries is used in this analysis, obtained through web scraping, with 70% as training data and 30% as test data. The results indicate that this data split scenario yields the best model, achieving an accuracy of 70%, precision of 50.5%, recall of 44.8%, and an F1-score of 48.3% overall. To optimize results further, the implementation of more optimal data sampling techniques is necessary to attain a more balanced class distribution in both training and test data.
Co-Authors Abdillah, Naufal Abdul Khalim, Kharits Ade Rizki Rinaldi Afandi, Fahmi Ahmad Fauzi Aji Dian Permana, Muhamad Aji Saputra, Mohammad Akbar, Miftahul Akbari, Muhammad Ali , Irfan Ali Yusri Alif Prayudha, Bimo Andi Ardiansyah Andre Setiawan, Andre Anggraeni, Anggi Asep Surahman Aulia, Linda Sari Ayu Febrian Lesmana, Alfira Azhar, Alwan Aziz Sahidin, Naufal Basysyar, Fadhil Muhammad Chrisna Basila Rahman, Muhammad Danar Dana, Raditya Deva Rian, Rananda Dewi, Aulia Citra Dikananda, Fatihanursari Dzulkarnaen, Rizal Faizal Rizqi, Muhammad Farhan Nugraha, Muhamad Fathur Rezki Junaedi, Muhammad Fathurrohman, Fathurrohman Faturany, Roni Fihir, Muhammad Firmansyach, Wildan Attariq Haekal Susanto, Ahmad Hamonangan, Ryan Herdiana, Ruli Heriyawan, Ikhsan Iin, Iin Iksan Maulana, Muhammad Ilham Syahputra, Arief Irfan Ali, Irfan Izzat Luthfi , Muhammad Kaslani Khoirul Insan, Moh Khoirul Kholilullah, Mohammad Kurnia, Dian Ade Kusmiyaty, Agesty Luthfi, Achmad M. Basysyar, Fadhil Ma'arif Syaefullah, Muhammad Manikari, Salsa Loni Martano, Martanto Martanto Martanto . Maulana Yusuf, Muhammad Moruk, Ewaldus Mu'min Azis, Muhammad Muhammad Haikal Mujibulloh, Mujibulloh Munawar, Adi Musyarofah Musyarofah, Musyarofah Nailil Amani, Najiyah Nanita, Nanita Nining Rahaningsih Nugraha, Syahrul Odi Nurdiawan Pratama, Hilda Fidyah Hadi Prihartono, Willy Purnama Sari, Ade Irma Putra, Arya Kamandanu Putri, Seni Meilani Raden Mohamad Herdian Bhakti Raditya Danar Dana Rai Fatkaozi, Ahmad Riskandi, Muhammad Rizki Amalia, Dita Rudi Kurniawan Saepudin, Agung Safrudin, Muhamad Saifurridho, Muhammad Samsudin, Risma'ruf Siti Latifah Subur, Muhamad Syafiq, Mohammad Sayyid Syam Al ghifari, Muhammad Syamsul Aripin Tati Suprapti Tohidi, Edi Tuti Hartati Wijaya, Yudhistira Yudhistira Arie Wijaya