Ashma Hanifah Shalihah
Evaluasi Kualitas Layanan Aplikasi melalui Text Mining Ulasan Pengguna: Studi Kasus Aplikasi Dompet Digital LinkAja = Evaluation of Application Service Quality using Text Mining from User Reviews: A Case Study of the LinkAja Digital Wallet Application
Fakultas Ilmu Komputer Universitas Indonesia, 2024
 UI - Tugas Akhir
Jefka Dhammananda
Analisis Sentimen dan Pemodelan Topik Ulasan Aplikasi E-Grocery Menggunakan Algoritma Naive Bayes dan Support Vector Machine: Studi Kasus Data Ulasan Segari di Google Play Store = Sentiment Analysis and Topic Modeling of E-grocery Application Reviews Using Naive Bayes and Support Vector Machine Algorithm: A Case Study of Segari Data Review on Google Play Store
Fakultas Ilmu Komputer Universitas Indonesia, 2023
 UI - Tugas Akhir
Riko Wijayanto
Analisis Sentimen Berbasis Aspek pada Teks Ulasan Pengguna di Google Play Store = Aspect Based Sentiment Analysis of User`s Review on Google Play Store
Fakultas Ilmu Komputer Universitas Indonesia, 2022
 UI - Tugas Akhir
Hanif Sudira
Pembuatan model analisis sentimen untuk perhitungan brand reputation serta pemanfaatan topic modelling pada layanan Indihome menggunakan data Twitter dan Instagram = Creating a sentiment analysis model for calculation of brand reputation and utilization of topic modelling on Indihome services using Twitter and Instagram data
Fakultas Ilmu Komputer Universitas Indonesia, 2022
 UI - Tugas Akhir
Hanandi Rahmad Syahputra
Penerapan Discriminant Analysis dan Support Vector Machine dalam Memprediksi Tren Pergerakan Harga Saham di Bursa Efek Indonesia = The Implementation of Discriminant Analysis and Support Vector Machine in Predicting The Trend of Stock Price Movements on the Indonesia Stock Exchange.
Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2020
 UI - Tesis Membership