Lecture that graduated from Mathematics department Bandung Institute of Technology in 1999 and Software Engineering Informatics department from the same university in 2003.
His research interests are applied machine learning and information extraction.

Mata Kuliah yang Diasuh
Prodi: S1 Teknik Informatika
  • Pola Desain Perangkat Lunak
  • Matematika Diskrit
  • Statistika
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Prodi: S1 Sistem Informasi
  • Pemograman Berorientasi Objek Lanjut
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Kegiatan Penelitian

2013

Sentiment Classification menggunakan Machine Learning: Metode Naive-Bayes dan Suppor
Vector Machines (Studi Kasus: Movie Reviews imdb.com) LPPM

Penelitian ini bermaksud untuk menyelidiki keefektifan penggunaan teknik machine learning untuk
menyelesaikan masalah sentiment classification.

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