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All Journal JURNAL PENELITIAN ILMU PENDIDIKAN QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Jurnal Ilmiah Universitas Batanghari Jambi JURNAL MUQODDIMAH : Jurnal Ilmu Sosial, Politik dan Hummaniora Pendas : Jurnah Ilmiah Pendidikan Dasar Islamika : Jurnal Ilmu-Ilmu Keislaman Aplikasia: Jurnal Aplikasi Ilmu-Ilmu Agama JOURNAL OF SCIENCE AND SOCIAL RESEARCH YUME : Journal of Management EDUKATIF : JURNAL ILMU PENDIDIKAN VISIO DEI: JURNAL TEOLOGI KRISTEN Jurnal Ilmiah Profesi Pendidikan Manna Rafflesia Jurnal Samudra Ekonomika Journal of Civil Engineering and Planning (JCEP) Indonesian Journal of Primary Science Education (IJPSE) Jurnal Development Jurnal Prajaiswara CENDEKIA: Jurnal Ilmiah Pendidikan SWARNA Polinomial : Jurnal Pendidikan Matematika Jurnal Pendidikan Dasar Dharmawangsa: International Journal of the Social Sciences, Education and Humanitis Analisis Gender dan Agama Indonesian Journal of Advanced Research (IJAR) Journal of Computer Science and Research Jurnal Portal Sipil International Asia Of Law and Money Laundering (IAML) International Journal of Islamic Studies Higher Education Jurnal Al Kahfi : Jurnal Pendidikan Agama Islam Jurnal Kala Nea KAFFAH: Jurnal Pendidikan dan Sosio Keagamaan GEMBIRA (Pengabdian Kepada Masyarakat) Nomico Journal of Technology and Computer (JOTECHCOM) Jurnal Abdimas UM Jambi Jurnal Ekonomi dan Bisnis
Adi Putra
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Journal : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

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ANALISIS PENANGANAN DATA TIDAK SEIMBANG TERHADAP KINERJA KLASIFIKASI SENTIMEN MULTIKELAS PADA ULASAN MARKETPLACE TOKOPEDIA Alfarizi, Nauval; Sinurat, Satria; Putra, Adi; Amin, Muhammad; Lydia, Prima
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5804

Abstract

Abstract: The development of digital marketplaces has led to an increasing number of user reviews, which can be used to understand consumer perceptions of products and services. However, sentiment analysis in marketplace reviews faces a major challenge: class imbalance, where positive sentiment often dominates to an extreme. This study aims to analyze the effects of various imbalanced data-handling techniques on the performance of machine-learning-based multiclass sentiment classification in Tokopedia marketplace reviews. The dataset used consists of 56,981 reviews with three sentiment classes, with more than 97% of them being positive. Feature extraction was performed using the TF-IDF method, resulting in 17,765 features. The handling of data imbalance was tested through four scenarios: class weighting, Random Oversampling, SMOTE, and ADASYN, with the Naive Bayes, Logistic Regression, and Random Forest algorithms. The experimental results show that Random Forest with SMOTE achieves the highest accuracy of 0.9749 but has limitations in recognizing minority classes, with a recall of 0.3786. In contrast, Logistic Regression with Random Oversampling provides the most balanced performance with the highest F1-score (macro) value of 0.4992 and recall of 0.5866. Keywords: Analysis, Sentiment, Imbalanced Data, Multi-Class Classification F1-Score Abstrak: Perkembangan marketplace digital menyebabkan meningkatnya jumlah ulasan pengguna yang dapat dimanfaatkan untuk memahami persepsi konsumen terhadap produk dan layanan. Namun, analisis sentimen pada ulasan marketplace menghadapi tantangan utama berupa ketidakseimbangan distribusi kelas, di mana sentimen positif sering kali mendominasi secara ekstrem. Penelitian ini bertujuan untuk menganalisis pengaruh berbagai teknik penanganan data tidak seimbang terhadap kinerja klasifikasi sentimen multikelas pada ulasan marketplace Tokopedia berbasis machine learning. Dataset yang digunakan terdiri dari 56.981 ulasan dengan tiga kelas sentiment, di mana proporsi sentimen positif mencapai lebih dari 97%. Ekstraksi fitur dilakukan menggunakan metode TF-IDF yang menghasilkan 17.765 fitur. Penanganan ketidakseimbangan data diuji melalui empat skenario, yaitu class weighting, Random Oversampling, SMOTE, dan ADASYN, dengan algoritma Naive Bayes, Logistic Regression, dan Random Forest. Hasil eksperimen menunjukkan bahwa Random Forest dengan SMOTE menghasilkan akurasi tertinggi sebesar 0,9749, namun memiliki keterbatasan dalam mengenali kelas minoritas dengan nilai recall 0,3786. Sebaliknya, Logistic Regression dengan Random Oversampling memberikan performa paling seimbang dengan nilai F1-score (macro) tertinggi sebesar 0,4992 dan recall 0,5866. Kata kunci: Analisis, Sentimen, Data Tidak Seimbang, Klasifikasi Multi Kelas F1-Score
Co-Authors Abd Haris, Abd Abdi, Hamdani Abdul, Wahid Affriza, Muhammad Afifah Aulia Fitri Afriwan, Afriwan Al Munawaroh, Azizah Alfarizi, Nauval Amelia Amri, Mira Amri , Mira Amelia Annisa Dwi Nugraheni Apria , Wilza Ardian, Heri Arief Fath Atiya Arif, Maulana Arita Marini Arniwita, Arniwita Arya Bintang Prasetyo Asrini Asrini Astriani, Dea Aulia Rahma Kusumaningtyas Bansa, Yorina An'guna dadang, rahmatul Dani Darmawan Dani, Rian Daniel, Prima Audia Deka Veronica Desy Safitri Dewanti, Andini Dewi ANGGRAENI Diah Ayu Ramadhina Dicky Febri Hadi Dimas Alfandi Dudung Amir Sholeh Efendi, Roni Fadilla Zahrah Fahmi Muharomi Dzikri Fahmi, Ali Faradilla Herlin Fauziah, Naila Gunawan Budi Susilo Hairunnisa, Salsa Nurul Harti, Sri Dwi Hasan Basri Irmanelly, Irmanelly Irwansyah Irwansyah Islam Madina Januar, Ahmad Juliwis Kardi Jurjani, Jurjani Kasmitha, Resty Keluanan, Yane Henderina Kurniasih, Endah Tri Linda Zakiah Lydia, Prima Marsyaf, Agesha Maulidya, Aisyah Mira Amalia Amri Mira Amelia Amri, Mira Amelia Muhammad Amin Muhammad Fajri Muhammad Sigit Darmawan Muhammad Syahputra Novelan Nadiva Freya Danella Nafa Elifah Khairunnisa Namang, Kezya Thresia Naufal al-Haq Nauval Alfarizi Nedawati, Rika Neldawaty, Rika Nikita Aura Marshanda Nisrina Indy Saqifa Nome, Nehemia Noprijon Nurdin Nurdin Nurzengky Ibrahim Okzella , Nadia Pangestu, Yoga Pasla, Bambang Niko Paulus Suhendro Mbette , Petrus Petrus Suhendro Prima Lydia Yosophin Batubara Purwanto, Vivi Devriana Putra, Agrien S Putra, Iwan Eka Putra, Pristian Hadi Putri Sugiharto, Anggie Putri, Kansa Aura R. Rully Mahendra Rahayu Elisa N Rahayu Ningsih, Sri Rahmawati, Sisca Raihan, Regghina Nasywa Ramadani , Laili Rina Wulandari Rizky Hidayat Rumawak, Sarah Agustina Sahari, Gunar Sahputra, Rilawadi Salim, Salsabila Nuramalia Sari Dewi, Lizabeth Sari, Candra Ovita Sari, Yolanda Satria Sinurat Selan, Yunus Shoalihin Shoalihin Silalahi, Dian Hardian Sinurat, Satria Soleh, Dudung Amir Sri Nuraini Suhendro, Petrus Suhendro, Petrus Paulus Mbette Suherman, Suherman Sujarwo Sunandar Sunandar Tamtomo, Hario Taufik Hidayat Usman, Herlina Uswatun Hasanah Utami, Adinda Desty Dian Veronica, Deca Veronica, Deka Veronika, Deka Yolanda, Dela Yudi Darmawan Yuliati, Siti Rohmi Yunicha Harly, Aulia Zebua, Marta Novianti Zulhendra, Riko Zuliah, Azmiati