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All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Informatika dan Teknik Elektro Terapan Information Management For Educators And Professionals (IMBI) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM Indonesian Journal of Applied Informatics JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) JATI (Jurnal Mahasiswa Teknik Informatika) Media Informatika Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society MEANS (Media Informasi Analisa dan Sistem) Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Informatika Terpadu International Journal of Social Science Instal : Jurnal Komputer Jurnal Janitra Informatika dan Sistem Informasi AMMA : Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Manajemen Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Jurnal Kecerdasan Buatan dan Teknologi Informasi
Nining Rahaningsih
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Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Indonesian Journal of Applied Informatics

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Optimasi Analisis Sentimen Ulasan Sunscreen di E-Commerce Menggunakan Algoritma SVM dan SMOTE Ayi Andini; Nining Rahaningsih; Raditya Danar Dana; Cep Lukman Rohmat
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.96221

Abstract

Abstrak : Analisis sentimen terhadap ulasan pengguna di e-commerce membantu produsen memahami kepuasan pelanggan. Penelitian ini bertujuan untuk menganalisis sentimen ulasan produk sunscreen di Facetology Official Shop menggunakan algoritma Support Vector Machine (SVM). Data ulasan dikumpulkan melalui scraping, diberi label secara manual, dan diproses menggunakan metode preprocessing seperti data cleaning, Case Folding, tokenizing, stopword removal, serta SMOTE untuk menyeimbangkan data. Ekstraksi fitur dilakukan dengan TF-IDF, dan SVM digunakan untuk mengklasifikasikan sentimen menjadi positif, negatif, dan netral. Hasil penelitian menunjukkan model SVM dengan kernel linear mencapai akurasi 93%, presisi keseluruhan 95%, recall 91%, dan F1-Score 93%. Pendekatan ini menunjukkan peningkatan performa model dengan akurasi 93% setelah penerapan SMOTE untuk penyeimbangan data. Sentimen mayoritas positif, mengindikasikan tingkat kepuasan tinggi, meskipun ada ulasan negatif terkait efek samping produk. Teknik preprocessing dan penyeimbangan data terbukti efektif dalam meningkatkan performa model. Pendekatan dapat diaplikasikan untuk analisis sentimen produk serupa guna mendukung pemahaman perusahaan terhadap konsumen==================================================Abstract :Sentiment analysis of user reviews on e-commerce platforms helps producers understand customer satisfaction. This study aims to analyze the sentiment of sunscreen product reviews in the Facetology Official Shop using the Support Vector Machine (SVM) algorithm. Review data were collected through scraping, manually labeled, and processed using preprocessing methods such as data cleaning, case folding, tokenizing, stopword removal, and SMOTE to balance the data. Feature extraction was performed using TF-IDF, and SVM was used to classify sentiments into positive, negative, and neutral categories. The results show that the SVM model with a linear kernel achieved an accuracy of 93%, an overall precision of 95%, a recall of 91%, and an F1-Score of 93%. This approach demonstrated improved model performance, with 93% accuracy achieved after applying SMOTE for data balancing. The majority of sentiments were positive, indicating a high level of customer satisfaction, although some negative reviews mentioned side effects of the product. The preprocessing techniques and data balancing proved effective in enhancing the model's performance. This approach can be applied to sentiment analysis of similar products to support companies in better understanding their consumers.
Co-Authors ., Mulyawan ., Nurhadiansyah Abdillah Fudholi, Luthfi Abdul Ajiz Abdul Rasyid Achmad Hidayat Ade Irma Purnamasari Ade Kurnia, Dian Ade Rizki Rinaldi Ahmad Faqih Al-Maulid, Hisyam Alvianatinova, Via Andriyanti, Rina Anggita Pratiwi, Eksadevi Angraeni, Devita Fitri Arif Rinaldi Dikananda Arif Sofyan, Mohamad Awaliyah, Lia Ayi Andini Az Zahroh, Luthfia Fahmi Azarine, Divia Azhari, Shazifa Azizah, Maulidina Bakri, Saeful Basysyar, Fadhil Muhammad Basysyar, Fadil M Bustomi, Ziaudin Cakranegara, Pandu Adi Cep Lukman Rohmat Dadang Sudrajat Danar Dana, Raditya Danar, Raditiya Danil, Supta Danya Rizki Chaerunisa Delisah Destiawati, Deby Dewanty Rafu, Maria Dienwati Nuris, Nisa Dikananda, Arif Rinaldi Dikananda, Fatihanursari Dimin, Egi Susanto Dwi Efranie, Priska Edi Wahyudin Elisa Sriyulia Fadhil M. Basysyar Fadhil Muhammad Basysyar Fadhil, Fadhil Yudistianto Fadilah, Mochammad Fauzan Fajar, Miftahul Faturachman, Rifcki Aziz Faujatun Hasanah Fidya Arie Pratama Frihandiansah, Riyandi Gifthera Dwilestari Gita Budiarti, Mariani Gusmiarni, Mia Gusnanto, Ferdi Gustipartsani, Kamaludin Hadi, Melawati Haidar Fakhri Hari Sutrisno Haryanto, Cep Herman Iin Ilham Kurniawan Ilham, Mokhamad Illahi, Asep Wahyu Imam Arifin imam maulana, imam Irfan Ali Irfan Ali, Irfan Jafar Jafar Jayawarsa, A.A. Ketut Kamelia Faridah Kaslani Khalda Rifdan, Ghina Kharomiyah, Kharomiyah Kholil, Kholil AldiYatna Kurmasih, Masih Laduni, Pasya Lili Purani Lisyana, Zita Lukman Rohmat, Cep M. Basysyar, Fadhil Mamluatul Hikmah, Lulu Martanto . Medina Aprilia Putri Mira Miranda Moch Rifki Firdaus Muhamad Basysyar, Fadhil Muhammad Abdurohman Muhammad Basysyar, Fadhil Muhammad Taufik Hidayat, Muhammad Mulyana, Krisna Mulyawan Mulyawan Mulyawan, - Mulyawan, Mulyawan Muzaki, Fazri Nafilah, Mala Nana Mulyanasari Nana Suarna Narasati, Riri Narasati Nugroho, Ridho Nur Afrilia, Mela Nurhadiansyah Nurhadiansyah Nurhakim, Bani Nurrochmah, Dina Siti Nursaniah, Rini Octavia Ningrum, Eka Puspita Odi Nurdiawan Pamungkas, Vicky Pii, Iwan Prasetia, Deni Pratama, Deni Pratama, Fidya Arie Pratama, Handreyan Rizki Purnamasari, Ade Irma Purnamasari, Ade Purnamasari Putra, Purniadi Qodri M.A, M. Alifia Raditya Danar Dana Rahmasari, Fanny Rahmi Safitri, Rahmi Ranu Husna Rifki Maulana, Muhamad Rini Astuti Riyandona, Siti Aiwastopa Rizki Fauzi, Ahmad Rizki Ramadhan Rizki Rinaldi, Ade Rizky Wulandhari, Putri Roghib, Moh. Rohmat, Cep Lukman Rudi Kurniawan Rully Pramudita Ryanto, Bayu Saeful Anwar Saroji, Saroji Sekar Puspita Arum Siti Sa'diah Sofialaela, Annisa Sok Piseth Soni, Moh Sri Muflikah Kurniarti Sri Suwartini Suarna, Annisa Annastia Suarna, Nana Sutra Safira, Meita Syafi’i Bachtiar, Mochammad Syarif Maulana Yaasin Tati Suprapti Tengku Riza Zarzani N Tohidi, Edi Tohodi, Edi Tri Mukti, Aryanto Tuti Hartati Usup Supendi Vina, Vina Widiya, Putri Windy Mardiyyah, Nita Wulandari, Maryam Yahya, Jakaria Yayah Sarwiyah Yudhistira Arie Wijaya Yulia Mustafa, Iva Zhahiran Herlambang, Prilanisa Zidan Soleh, Kautsar