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      "title": "ANALISIS DINAMIKA SENTIMEN ULASAN DARING DAN\r\nKORELASINYA TERHADAP PENDAPATAN PARIWISATA\r\nMENGGUNAKAN SVM DENGAN OPTIMASI ADASYN-PSO",
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      "subjects": [
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        "000.000.004"
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      "keywords": "Analisis Sentimen, Imbalanced Data, SVM, ADASYN-PSO,\r\nKorelasi Pearson, Sentiment Analysis, Pearson\r\nCorrelation.",
      "abstract": "Pergeseran tren pariwisata digital menjadikan ulasan daring (Electronic\r\nWord of Mouth) di Google Maps sebagai aset vital bagi Ekowisata Sungai Mudal.\r\nSentimen ulasan pengunjung berdampak langsung pada citra destinasi dan stabilitas\r\npendapatan pasca-pandemi. Namun, pengelola kesulitan memetakan ribuan data\r\nteks tidak terstruktur yang memiliki karakteristik sangat timpang (imbalanced\r\ndata), di mana ulasan positif mendominasi. Kondisi ini memicu bias mayoritas pada\r\nalgoritma standar, sehingga model gagal mendeteksi ulasan keluhan (minoritas)\r\nyang sebenarnya sangat krusial untuk evaluasi layanan. \r\nPenelitian ini mengusulkan model klasifikasi sentimen menggunakan\r\nalgoritma Support Vector Machine (SVM) berbasis fitur TF-IDF. Untuk mengatasi\r\nbias mayoritas, teknik Adaptive Synthetic Sampling (ADASYN) diterapkan pada\r\ndata latih guna membangkitkan data minoritas secara adaptif, dilanjutkan optimasi\r\nhyperparameter menggunakan Particle Swarm Optimization (PSO). Model\r\ndiimplementasikan untuk memprediksi 4.037 ulasan periode 2019–2024.\r\nSelanjutnya, hasil prediksi tren persentase kepuasan diuji korelasinya terhadap\r\nfluktuasi rata-rata pendapatan bulanan menggunakan metode Pearson Product\r\nMoment. \r\nHasil eksperimen menunjukkan bahwa integrasi ADASYN dan PSO\r\nberhasil mendongkrak sensitivitas model (Recall) dalam mendeteksi keluhan\r\nmenjadi 29% dengan Akurasi Global terjaga di 87%. Uji statistik membuktikan\r\nadanya korelasi linier positif yang sangat kuat (r = 0,92) antara reputasi digital dan\r\nkinerja finansial. Artefak penelitian ini telah diimplementasikan menjadi aplikasi\r\nweb interaktif berbasis cloud (Streamlit) yang dapat dimanfaatkan langsung oleh\r\npengelola ekowisata untuk memantau kepuasan pengunjung secara mandiri.",
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