I Putu Aditya Yuga Nugraha
Kinetika Pembentukan Flok Pada Proses Pengolahan Air Limbah Menggunakan Metode Koagulasi-Flokulasi Berbasis Bahan Organik dan Anorganik = Floc Formation Kinetics In Wastewater Treatment Process Using Coagulation-Flocculation Method Based On Organic and Inorganic Materials
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2023
 UI - Skripsi Membership
Muhammad Naufal Hisyam
Prediksi Nilai Turbiditas Air Berbasis Citra Ponsel Menggunakan Deep Convolutional Neural Network ResNet-50 dan DenseNet-121 = Water Turbidity Prediction Based on Mobile Phone Image Using Deep Convolutional Neural Networks ResNet-50 and DenseNet-121
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2022
 UI - Skripsi (Membership)
Verena Amanda
Prediksi Kualitas Sumber Air untuk Kegunaan Air Minum dalam Kemasan (AMDK) di Indonesia Menggunakan Pendekatan Recurrent Neural Network (RNN) = Predicting Source Water Quality for Bottled Drinking Water Purpose in Indonesia Using Recurrent Neural Network (RNN) Approach
Fakultas Teknik Universitas Indonesia, 2023
 UI - Skripsi Membership
Fahri Alamsyah
Perancangan sistem pengenalan wajah menggunakan Support Vector Machine (SVM), Logistic Regression, Multi-Layer Perceptron (MLP), Gaussian Naive Bayes, K-Nearest Neighbour (KNN), Decision Tree (DT), dan Convolutional Neural Network (CNN) = Development of face recognition system using Support Vector Machine (SVM), Logistic Regression, Multi-Layer Perceptron (MLP), Gaussian Naive Bayes, K-Nearest Neighbour (KNN), Decision Tree (DT), and Convolutional Neural Network (CNN)
Fakultas Teknik Universitas Indonesia, 2021
 UI - Skripsi (Membership)
Ardanareswari Chaerani
Perbandingan Kinerja Metode Convolutional Neural Network-Deep Belief Network (CNN-DBN) dengan Metode Convolutional Neural Network-Support Vector Machine (CNN-SVM) dalam Klasifikasi Glaukoma pada Citra Fundus = Performance Comparison of The Convolutional Neural Network-Deep Belief Network (CNN-DBN) Method with The Convolutional Neural Network-Support Vector Machine (CNN-SVM) Method for Classifying Glaucoma on Fundus Image
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2021
 UI - Skripsi (Membership)