ANALISIS SENTIMEN ULASAN APLIKASI DANA DI PLAY STORE MENGGUNAKAN SUPPORT VECTOR MACHINE

ilham

doi:10.23960/jitet.v14i2.9473

ilham
STMIK IKMI CIREBON

DOI: https://doi.org/10.23960/jitet.v14i2.9473

Keywords Analisis Sentimen, Support Vector Machine, Text Mining, Google Play Store, DANA.

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Abstract

Abstrak. Penelitian ini bertujuan menganalisis sentimen pengguna aplikasi DANA dari Google Play Store menggunakan Support Vector Machine (SVM). Data sebanyak 10.000 ulasan dikumpulkan melalui web scraping, menghasilkan 6.597 data unik setelah deduplikasi. Tahapan pra-pemrosesan meliputi cleaning, tokenisasi, stopword removal, dan stemming. Pelabelan dilakukan dengan pendekatan lexicon-based ke dalam kategori positif, negatif, dan netral. Hasil pengujian menunjukkan skenario pembagian data 80:20 menghasilkan akurasi tertinggi sebesar 94,2%, dibandingkan skenario 30:70 (90,5%) dan 10:90 (83,7%). Distribusi sentimen didominasi oleh sentimen positif (39,93%), diikuti netral (36,89%) dan negatif (23,18%). Temuan ini menunjukkan efektivitas SVM dalam klasifikasi teks dimensi tinggi untuk mendukung pengembangan fitur aplikasi fintech.

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