Aspect-Based Sentiment Analysis dan Korelasinya dengan Revenue pada Ati Tentrem Guesthouse
Abstrak
Penelitian ini bertujuan mengidentifikasi hubungan antara persepsi pelanggan yang diekspresikan melalui ulasan
online dan revenue Ati Tentrem Guesthouse menggunakan Aspect-Based Sentiment Analysis (ABSA). Ulasan
pelanggan dari Traveloka, Tiket.com, dan Google Maps periode 2022-2024 dianalisis menggunakan model IndoBERT
untuk mengidentifikasi sentimen terhadap 12 aspek layanan. Data sentimen dianalisis dengan korelasi Spearman
terhadap revenue tahunan guesthouse. Hasil menunjukkan aspek Kamar memiliki korelasi positif sempurna (ρ=+1,00)
dengan revenue, sedangkan aspek Fasilitas berkorelasi negatif sempurna (ρ=-1,00). Temuan ini mengindikasikan
pentingnya pemeliharaan kualitas kamar dan fasilitas sebagai pendorong utama keputusan pelanggan. Secara praktis,
penelitian ini menyarankan peningkatan fasilitas kamar dan layanan untuk meningkatkan loyalitas pelanggan dan
revenue.
Kata kunci: aspect-based sentiment analysis, IndoBERT, korelasi Spearman, sentimen pelanggan, revenue
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