[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” locked=”off” global_colors_info=”{}”][et_pb_fullwidth_image src=”http:\/\/science.utm.my\/procscimath\/wp-content\/uploads\/sites\/605\/2020\/11\/proscimath_L_WB.png” title_text=”proscimath_L_WB” _builder_version=”4.16″ _module_preset=”default” width=”60%” module_alignment=”center” custom_padding=”0px|50px|0px|50px||” locked=”off” global_colors_info=”{}”][\/et_pb_fullwidth_image][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.18.1″ _module_preset=”default” custom_padding=”||20px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”||-53px|||” global_colors_info=”{}”]<\/p>\n
Volume 16, September 2023<\/strong><\/p>\n Guest Editor:<\/strong><\/p>\n Siti Mariam Norrulashikin<\/p>\n Noraslinda Mohamed Ismail<\/p>\n Mohd Ali Khameini Ahmad<\/p>\n <\/p>\n Department of Mathematical Sciences, Faculty of Science,<\/p>\n Universiti Teknologi Malaysia<\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_margin=”32px|auto||auto||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n FRONT PAGE<\/strong><\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n TABLE OF CONTENT<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” custom_margin=”|auto|-47px|auto||” custom_padding=”4px|||||” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n Page<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Modelling One Dimensional Groundwater Flow in Confined and Homogeneous Aquifer<\/em><\/strong><\/p>\n Ahmad Hizami Mohd Azri, Shaymaa Mustafa<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 1-11<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Mathematical Modelling Newton\u2019s Law of Cooling for Home Heating Systems <\/strong><\/p>\n Aina Fahirah Zairee, Taufiq Khairi Ahmad Khairuddin<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 12-16<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Numerical Modelling of Two Dimension Contaminant Transport Equation in Riverbank System<\/strong><\/p>\n Badrul Ash Shaffat Mohd Azaha, Shaymaa Mustafa<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 17-24<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Implementation of LSTM and MLP on Cryptocurrency Price Forecasting<\/strong><\/p>\n Chan Mei Hua, Nur Arina Bazilah Kamisan, Haliza Abd Rahman<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 25-35<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Forecasting Annual Electricity Consumption in Malaysia Using Exponential Smoothing, Arima and Hybrid Model<\/strong><\/p>\n Chen Jun Yip, Muhammad Hisyam Lee, Siti Mariam Norrulashikin<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 36-45<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Portfolio Optimization of Exchange-Traded Funds Listed on the New York Stock Exchange Using Particle Swarm Optimization<\/strong><\/p>\n Cheng Seng Jun, Farhana Johar<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 46-56<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Time Series Forecasting on Weather in Malaysia Using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN)<\/strong><\/p>\n Chia Yi Hwee, Muhammad Fauzee Hamdan<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 57-66<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Modeling The Characteristics of Air Pollution Index Using Copula Approach<\/strong><\/p>\n Chin Hui Shan, Shariffah Suhaila Syed Jamaludin<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 67-75<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Application of Queuing Theory and Discrete Event Simulation in Queuing System of Pusat Kesihatan Universiti<\/strong><\/p>\n Chuah Yi Jia, Nur Arina Bazilah Aziz<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 76-85<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Prediction of Lung Cancer Using Logistics Regression<\/strong><\/p>\n Ea Li Qun, Haliza Abd Rahman<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 86-97<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Forecasting Palm Oil Prices In Malaysia by Using Neural Network Model and Box-Jenkins Model<\/strong><\/p>\n Eng Yun Shun, Shariffah Suhaila Syed Jamaludin<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 98-108<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n A Study of The Prevalence and Factors Associated with Computer Vision Syndrome (CVS)<\/strong><\/p>\n Erin Chen Yi Wen, Nur Arina Bazilah Kamisan<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 109-116<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Two-Dimensional Model for Solute Transport Induced by Groundwater Abstraction<\/strong><\/p>\n Farah Nur Atikah Mior Othman, Shaymaa Mustafa<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 117-127<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Numerical Solutions of Mixed Convection Flow Past Over a Sphere in Viscoelastic Hybrid Nanofluid<\/strong><\/p>\n Hamizatul Asyura Daing Ibrahim, Wan Rukaida Wan Abdullah<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 128-135<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Optimization of Capacitated Vehicle Routing Problem for Municipal Solid Waste Collection Using Simulated Annealing Algorithm<\/strong><\/p>\n Hew Ni Shuen, Farhana Johar<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 136-145<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Emission<\/strong><\/p>\n Huang Neng Jian, Nur Arina Bazilah Aziz<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 146-155<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Multiple Linear Regression on Personal Loan Applications and Approvals<\/strong><\/p>\n Lee Jin Yun, Nur Arina Bazilah Kamisan<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 156-168<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Portfolio Optimization of FTSE Bursa Malaysia KLCI Using Genetic Algorithm<\/strong><\/p>\n Lee Kai Weng, Farhana Johar<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 169-180<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Forecasting Consumer Price Index of Malaysia Using Support Vector Regression<\/strong><\/p>\n Logashni Morthy, Norhaiza Ahmad<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 181-191<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Forecasting Monthly Rainfall by Using Exponential Smoothing, Seasonal Autoregressive Integrated Moving Average (Sarima) and Generalized Autoregressive Conditional Heteroskedasticity (Garch) Model<\/strong><\/p>\n Low Ching Yi, Norazlina Ismail<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 192-200<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n A System Dynamic Model for The Supply and Demand Planning of Mathematical Sciences Graduates in Malaysia<\/strong><\/p>\n Low Pei Yong, Zaitul Marlizawati Zainuddin<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 201-209<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Solving Mixed Convection Boundary Layer Flow of Viscoelastic Hybrid Nanofluids Past Over a Sphere Using MATLAB with BVP4C Solver<\/strong><\/p>\n Maisarah Zainal Abidin, Wan Rukaida Wan Abdullah<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 210-222<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Allocation of Faculty Supervisors for Industrial and Research Training <\/strong><\/p>\n Muhammad Ariq Zakaria, Zaitul Marlizawati Zainuddin<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 223-231<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n The Association Between Factors That Influenced Mortality Rate in Malaysia<\/strong><\/p>\n Muhamamad Haikal Jamsari, Siti Rohani Mohd Nor<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 232-240<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n The Application of Extended Cox Regression Model on Leukemia Patients<\/strong><\/p>\n Muhammad Riza Azruddin Mohd Aris, Noraslinda Mohamed Ismail<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 241-249<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Optimisation of Fibre Optics Connection Pathway in All Main Buildings of UTM Johor Bahru Campus Based on Prim\u2019s Algorithm <\/strong>\u00a0<\/strong><\/p>\n Noor Shaadah Abdullah Zawawi, Wan Rohaizad Wan Ibrahim<\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 250-255<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Dynamics of Quasi-Volterra Quadratics Stochastics Operations on 1-Dimesional Simplex<\/strong><\/p>\n Nur Irdina Salim, Ahmad Fadillah Embong<\/p>\n