7. Amalia Zahra S.Kom., Ph.D.

Lecture Spesialist - S3

amalia.zahra@binus.ac.id
021-53696969 ext1803
Prodi MTI, BGP, Jl Kebon Jeruk Raya no 27, Lt-8, Jakarta Barat, 11530 Indonesia

Profile & Qualification
Research & Publication
Community Service
Personal Developement

Amalia Zahra is currently a lecturer and a quality coordinator at Master of Computer Science, Bina Nusantara University since 2017. She obtained her PhD from the School of Computer Science and Informatics, University Colleged Dublin (UCD), Ireland in 2014. She got her bachelor degree in Computer Science from the Faculty of Computer Science, University of Indonesia (UI), Indonesia in 2008. She does not have a Master degree, but she got a chance to be a research assistant in developing an Indonesian Speech Recognition System after graduating from UI, before pursuing PhD in 2009. Prior to Bina Nusantara University, she was a lecturer and a researcher at the Faculty of Computer Science, University of Indonesia.
Subjects Taught : Machine Learning, Deep Learning and Its Applications, Big Data Analytics, Business Intelligence and Analytics, Optimization and Computational Intelligence.
Research : Speech Processing, Speech Recognition, Speaker Recognition, Spoken Language Identification, and other topics related to Speech Technology.
Scopus : https://www.scopus.com/authid/detail.uri?authorId=55844125600
Google Scholar : https://scholar.google.co.id/citations?user=xxU_lYsAAAAJ&hl=id
Sinta : https://sinta.kemdikbud.go.id/authors/profile/6656196

Research

149/VR.RTT/VII/2023

Optimalisasi Pengelolaan Persediaan Perusahaan Distribusi dan Logistik dengan Clustering dan Time Series Forecasting pada Permintaan Produk Consumer Health

Propose Year 2023
Budget Year 2023
Funding Company DIKTI
Researcher(s) Amalia Zahra, S.Kom., Ph. D.

Profile & Qualification

Optimalisasi Pengelolaan Persediaan Perusahaan Distribusi dan Logistik dengan Clustering dan Time Series Forecasting pada Permintaan Produk Consumer Health

Identifikasi Musik dari Tangkapan Optik Partitur Menggunakan Model Convolutional Neural Network

Model Komputasi untuk Mendeteksi Unsur Komunikasi SARA di Media Sosial Menjelang dan Pasca Pemilu 2024.

Optimasi Multi Fitur pada Sistem Pengenalan Emosi Suara

Mathematical Modelling of Physical Distancing Policy for Post COVID-19 Event Management

Komponen Identifikasi Emosi Suara Pengendara Dalam Mendukung Pengembangan Sistem Mobil Pintar

Pengenalan Wajah untuk Video Berresolusi Rendah pada Kamera CCTV Menggunakan Modifikasi Convolutional Neural Network

Sistem dan Aplikasi Portabel Pendeteksi Gangguan Irama Jantung Menggunakan Sinyal ECG Berbasis Machine Learning dan Cloud Computing

PENGEMBANGAN ALGORITMA MACHINE LEARNING PENDETEKSI GANGGUAN IRAMA JANTUNG BERBASIS SINYAL ELEKTROKARDIOGRAFI

Pengenalan Wajah untuk Video Berresolusi Rendah pada Kamera CCTV Menggunakan Modifikasi Convolutional Neural Network

Speaker Identification in Multiple Languages: Regional, Indonesian, and English with Short Utterance

Stacking ensemble learning for optical music recognition

Detecting Hate Speech on Social Media using Text Mining Method with SVM Classifier and XGBoost

Data Augmentation and Enhancement for Multimodal Speech Emotion Recognition

Prototype Design of Landfill Gas Pipe Leak Monitoring System Based on Microcontroller Node MCU ESP8266 with the Internet of Things Method

Restaurant Recommendation System Using Advanced Collaborative Filtering and Review Text Content Approach

Indonesian Automatic Speech Recognition with XLSR-53

Emotion Recognition on Multimodal with Deep Learning and Boosting Ensemble Method

CRISP-DM Method for Mood Classification in Indonesian Music 70 and 80 era

Bert Transformer Model for Indonesian Mood Music Dataset

PIE-GENIUS Women in STEM-AI (Online and In-Person)

Gender-Biased Speech Emotion Recognition and DeepFake Speech Detection: Unveiling the Impact of Gender Stereotypes

Digital Marketing

Data Preparation 2

Omnichannel Marketing untuk Meningkatkan Kepuasan Konsumen

Data Science Part 3 (Computer Science)

Model Optimization & Model Deployment

Data Science Training

Data Science Training

Clustering & Model Evaluation

Chatbot - Antara Inovasi dan Tantangan di Dunia Akademik

Omnichannel Marketing to Improve Customer Engagement

Omnichannel Marketing to Improve Customer Engagement

Data Analytics

Visualisasi Data: Aspek Penting dan Best Practices

Visualisasi Data Menggunakan Power BI

Menyusun Strategi Media Sosial untuk UMKM

Mentoring stage 7

Data Science Training

Data Science Training

Data Science Training

A Glimpse on Big Data

Digital Marketing - Memaksimalkan Media Sosial untuk Promosi

Hadoop Basic Batch 1 Day 2

Hadoop Basic Batch 1 Day 1

Karakteristik Big Data dan Contoh Studi Kasusnya

SA : Otomasi – Pengenalan Code Pipeline – Pengenalan Code Deploy – Study case

SA : Otomasi – Pengenalan Lightsail – Pengenalan Elastic BeanStalk – Study case

Mini Project

AWS Networking Services, Pengenalan VPC, Pengenalan subnet, Pengenalan Internet Gateway, Pengenalan NAT, Pengenalan Elastic IP

Memahami AWS Global Infrastructure, Mendefinisikan region, Mendefinisikan Availability Zone, Melakukan pemilihan Region – Pemahaman konsep Multi Region

Pengenalan Cloud Computing & Memahami tentang AWS Sejarah Amazon Web Services

Big Data

Big Data

Digital Marketing di Masa Pandemi COVID-19

Big Data 2

Big Data 1

Vlookup, Hlookup, Sumif, countif, IF

layout presentation, shape, insert and edit smart art graphic, hyperlink

equation Editor, hyperlink, mail merge, auto fill & excel Formula

format teks, bullets & Numbering, Header & footer, watermark

Fitur, AutoFill & Excel Formula, Table Border & Shading

Fitur, Layout Presentation, Shape, Insert and Edit Smart Art, Graphic, Hyperlink

Presentation Design, Animation Presentation, and Slide Master in Ms. Powepoint 2007

Digital Marketing untuk produk kerajinan olahan sampah / barang bekas di Bantar Gebang

Ms Excel: AutoFill & Formula, Table Border & Shading, Format Cells, Freeze Panes, Header & Footer

Create Social Media Marketing Goals, and Research Your Social Media Audience

Tutorial Excel

dasar machine learning 1

Menerapkan permasalahan Kalkulus dalam program menggunakan bahasa pemrograman python.

Gradient, Univariate Differentiation & Multivariate Differentiation.