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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Buana Informatika JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Systems Engineering and Business Intelligence Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Knowledge Engineering and Data Science Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI) J-Intech (Journal of Information and Technology)
Rizal Setya Perdana
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Library & Information Science

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Journal : knowledge engineering and data science

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A Hybrid Soft Voting and Stacking-Based Meta-Learning Approach for Sentiment Analysis of Bangkalan Batik Wahyudi, Moh. Imron; Muflikhah, Lailil; Perdana, Rizal Setya
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Sentiment analysis is an important field in Natural Language Processing (NLP) that focuses on processing consumer opinions to gain useful insights. The information generated from sentiment analysis can be used as a basis for business decision-making, service quality evaluation, and the formulation of more effective marketing strategies. In the local context, Bangkalan Batik, as one of Madura's distinctive cultural products, has high economic value and cultural identity. However, consumer reviews available online, for example through Google Maps, are still rarely utilized optimally by MSMEs as a source of strategic information. Therefore, this study was conducted to develop a sentiment classification model capable of overcoming the limitations of small data and unbalanced class distribution. The research dataset consisted of 1,000 Bangkalan Batik consumer reviews categorized into three sentiment classes: positive, neutral, and negative. After the preprocessing stage, text representation was performed using TF-IDF. Next, three basic algorithms, Naïve Bayes, Logistic Regression, and Support Vector Machine, were combined through the Soft Voting approach. To improve performance, Logistic Regression meta-classification was used as an additional layer of stack-based Meta-Learning. In addition, the Synthetic Minority Oversampling Technique (SMOTE) was applied to overcome class imbalance so that the model was more sensitive to minority opinions. The results of experiments with stratified k-fold cross-validation show that the proposed model performs better than both single and conventional ensemble models. The developed hybrid model achieves 87% accuracy and an F1 score of 88%, and shows a significant improvement in remembering minority classes. This research contributes to the development of ensemble-based text classification methods for small and imbalanced datasets.
Co-Authors Abdurrachman Bachtiar, Fitra Abilo, Nelson Alfons Adriansyah, Rachmat Afrialdy, Firman Ahmad Febriyan Amin Al Farisi, Faiz Aulia Annisa, Zahra Asma Ari Hernawan Arief Andy Soebroto Aryo Pinandito Asghany, Yusrian Athaya, Haikal Thoriq Atmoko, Rachmad Baliyamalkan, Mohammad Nafi' Brilliansyach, Raihan Fikri Budi Darma Setiawan Budi Darma Setiyawan Candra Dewi Chastine Fatichah Daffa Zakwan, Mochammad Dahnial Syauqy Dian Eka Ratnawati Diana Purwitasari Eka Prakarsa Mandyartha Eko Sakti Pramukantoro, Eko Sakti Ferdika Bagus Pristiawan Permana, Ferdika Bagus Pristiawan Fiqri, Miftahul Firdaus, Agung Firdian, Arifal Aghna Haekal, Firhan Imam Hasibuan, Raka Ardiansyah Hendra Darmawan Ibnu, Mohammad Indriati Indriati Indriati Keintjem, Arthurito Khairul, Muhammad Fathur Rahman Lailil Muflikhah Lase, Nicolash Jeremy Onoma Lina, Femi Novia Luthfirrahman, Muhammad Nadhil Malik, Dzaki Rafif Marchelo, Nalendra Maulana, M. Aziz Muchammad Kurniawan Nabil Auliya, Muhammad Hanif Nainggolan, Yohana Beatrice Nurannisa, Nadhira Nurul Hidayat Prakoso, Andriko Fajar Putra Pandu Adikara R. Arief Setiyawan Rachmansyah, Ghenniy Rafsandjani, Moch. Gustav Ali Rahardiansyah, Tengku Muhammad Rafi Reddy Alexandro Satrio Agung Wicaksono Setiawan, Akas Bagus Setyawan, Frederikus Silaban, Gilbert Samuel Nicholas Sitorus, Theresia Artha Putri Syarif Hidayatulloh Tirana Noor Fatyanosa Tirana Noor Fatyanosa, Tirana Noor Tri Fadilah, Ghina Tri Hadiah Muliawati Umi Laili Yuhana Vasya, M Azka Obila Wahyudi, Moh. Imron Wardana, Dzaky Ahmadin Berkah Wayan Firdaus Mahmudy Wicaksana, Kesid Dewa Widhi Yahya Wijaya, Fariz Rizky