I-CMME uses a back-to-back discussion,
please read the rules thoroughly, illustrations and file are given below.

(H1) Dinda Ulima Rizky Yani

Markov-Switching GARCH-Machine Learning for Forecasting Return Volatility

(H2) Ahmad Ulul Hazmi

Pitch Angel Control of Unmanned Aerial Vehicles (UAV) using Kalman Filter-Disturbance Observer-Model Predictive Control

(H3) Nurul Izzah

Modeling and Simultaneous Hypothesis Testing in Semiparametric Regression with Mixture Model of Spline and Fourier Series

(H4) Sarah Khoirunnisa

Mathematical Model of Covid-19 Transmission through Virus Attached to Non-living Media by Considering Virus Growth Inhibition

(H5) Dinda Galuh Guminta

Multilabel Classification for The Feasibility of Drinking Water and Sanitation in East Java with Classifier Chains – Least Square Support Vector Machine

(H6) Nor Suriya Abd Karim

Chromaticity of a Type of 6-Bridge Graphs

(H7) Mohammad Faiz Zamani Johar

Determining the Presence of Chaos Based on Variation Data of Water Level in Lebir River, Kelantan, Malaysia

(H8) Veronica Cynthia

Analysis on the Effect of the Big Three Entertainment Company’s Performance in South Korea on Company’s Stocks Prices

(H9) Maria Reginalis Lipat

Performance Comparison between the Fourth-Order Runge-Kutta Method and the Milne Method in Solving a Mathematical Model for the Dengue Fever Disease Spread

(H10) Ghazi Taqiyya Al Anshari

Sentiment Classification of Indonesian Marketplace Product Reviews with Long Short-Term Memory and FastText Word Embedding

(H11) Fitrayana, P.R.

Clustering of Covid-19 Data in Indonesia with Large Application Clustering Algorithm