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All Journal SPEKTRUM: Jurnal Pendidikan Luar Sekolah (PLS) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Mandala Education (JIME) JISIP: Jurnal Ilmu Sosial dan Pendidikan JUPE : Jurnal Pendidikan Mandala JOISIE (Journal Of Information Systems And Informatics Engineering) Didaktik : Jurnal Ilmiah PGSD STKIP Subang Journal of Applied Data Sciences Afeksi: Jurnal Penelitian dan Evaluasi Pendidikan Indo-MathEdu Intellectuals Journal Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) J-COSCIS : Journal of Computer Science Community Service Journal of Multidisciplinary Science: MIKAILALSYS SATIN - Sains dan Teknologi Informasi PEDAGOGIC: Indonesian Journal of Science Education and Technology Jurnal Demi Pengabdian Masyarakat
Alkadri Masnur
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Other

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Optimizing Sentiment Analysis on Imbalanced Hotel Review Data Using SMOTE and Ensemble Machine Learning Techniques Pandu Pratama Putra; M. Khairul Anam; Andi Supriadi Chan; Abrar Hadi; Nofri Hendri; Alkadri Masnur
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.618

Abstract

This research addresses the challenge of imbalanced sentiment classes in hotel review datasets obtained from Traveloka by integrating SMOTE (Synthetic Minority Oversampling Technique) with ensemble machine learning methods. The study aimed to enhance the classification of Positive, Negative, and Neutral sentiments in customer reviews. Data preprocessing techniques, including tokenization, stemming, and stopword removal, prepared the textual data for analysis. Various machine learning models—CART, KNN, Naive Bayes, and Random Forest—were evaluated individually and in ensemble configurations such as Bagging, Stacking, Soft Voting, and Hard Voting. The Stacking ensemble approach, utilizing Logistic Regression as a meta-classifier, demonstrated superior performance with an accuracy, precision, recall, and F1-score of 88%, outperforming Bagging (86%), Hard Voting (84%), and Soft Voting (81%). The findings highlight the effectiveness of SMOTE in balancing sentiment classes, particularly improving the classification of underrepresented Neutral and Negative categories. The novelty of this study lies in the comprehensive use of ensemble techniques combined with SMOTE, which significantly enhanced prediction stability and accuracy compared to previous approaches. These results provide valuable insights into leveraging advanced machine learning techniques for sentiment analysis, offering practical implications for improving customer experience and service quality in the hospitality industry.
Pengembangan Multimedia Pembelajaran Harsos pada Mata Pelajaran Sosiologi Kelas XI SMA/Sederajat Anggara, Awang; Yusri, Meldi Ade Kurnia; Masnur, Alkadri; Alfahani, Khairul
PEDAGOGIC: Indonesian Journal of Science Education and Technology Vol. 6 No. 5 (2026): PEDAGOGIC: Indonesian Journal of Science Education and Technology (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ijset.v6i5.7585

Abstract

This research aims to develop HARSOS interactive learning multimedia based on Articulate Storyline on Social Harmony material in the Sociology class XI SMA class and test its validity, practicality and effectiveness. Development uses a 4D model (Define, Design, Develop, Disseminate). Data was collected through validation sheets by one material expert and two media experts, practicality questionnaires by 20 students, and effectiveness questionnaires by two teachers and 40 students from three schools. Data were analyzed descriptively using a five-point Likert scale. The validation results show that HARSOS multimedia obtained an average score of 95% from material experts and media experts with a very valid category. The practicality test obtained an average of 92% of students in the very practical category. The effectiveness test shows an average score in the range of 84%–100% from teachers and 92%–93% from students, which is in the very effective category. Overall, the assessment results show that HARSOS multimedia meets the criteria of being valid, practical and effective based on the assessments of validators, teachers and students. HARSOS multimedia can be used as an alternative interactive learning media in the Social Harmony material in the class XI SMA Sociology subject
Co-Authors Abiem Haekal Suherman Abna Hidayati Abrar Hadi Adi Priyanto Afdhal, Muhammad Abim Ainul Mardiah Alfahani, Khairul Almajri, Fiqri Alza, Afif Amilia, Winanda Anam, M Khairul Ananda, Rahma Andi Supriadi Chan, Andi Supriadi Andriani, Asyifa Andriani, Cesilia Anggara, Awang Anggraini, Vivi Anisya Anisya Anugrah, Septrian Anugrah, Septriyan Athiyyah Salsabila Aufa Deza Fikri Azahwa Ramadhani Azhari Fetri Stevani Azikra Chasiaturahmi Brilyan, Shabra Damayanti, Arfina Darmansyah Darmansyah Dika, Revina Werin Dinda Putri Ramadhan Eldarni Eldarni, Novrianti Elsa Masriani Fadhilaturrahmy, Fadhilaturrahmy Fetri Yeni J Hendri Budi Utama hendri, nofri Hendri, Nolfi Herdi Setiawan Heru Paituh Rahmat Inrafa, Shaumy Darojatun Irwanda, Yulia Jeni Falen Andrean Jihan Syahrani Khairul Alfahani Kurnia, Meldi Ade Lizarti, Restilia Lubis, Maysaroh Luthfiani Luthfiani, Luthfiani Masriani, Elsa Mega Cahya Dwi Lestari Meldi Ade Kurnia yusri Melisa Putri, Indah Muhammad Adli Mulya, Yogi Mutia Egica Putri Mutiara Felicita Amsal Nadia Ulfa Rahmi Nofri Hendri Nofri Hendri Novrianti Novrianti Nur Hazizah Pandu Pratama Putra, Pandu Pratama Pertiwi, Rahmi Pertiwi, Rani Putri, Juliana Eka Putri, Maidiya Putri, Qorina Cantika Putri, Septia Eka Rahmani Rahmawati, Rahmawati Rahmayanti, Elsa Rahmi Artika Rahmi Pratiwi Rahmi, Ulfia Raulia Putri, Diva Rayendra Rayendra Reni Kurnia Resti Elma Sari Rini Yunita, Rini Riska Amelia Putri Rizalmi, Farhan Rohimun Farhan Rosmaria Suci Rahmawati, Suci Suherman, Abiem Haekal Syafril Syafril Tia novela Tiara Dhea Wijaya Ulfia Rahmi Wahyu Ningsih, Siska Widya Parikeslan Winanda Amilia Yelsi, Nengsi Fitri Yola Sepkia Yulsyofriend Yulsyofriend, Zen, Zelhendri Zuliasmi, Syahra