[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=”4.27.0″ _module_preset=”default” custom_margin=”||-53px|||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n
Volume 22, August 2024<\/strong><\/p>\n Guest Editors:<\/strong><\/p>\n Adina Najwa Kamarudin Department of Mathematical Sciences, Faculty of Science, 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=”4.27.0″ _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=”4.27.0″ _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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Time Series Analysis of Paddy Production in Malaysia<\/strong><\/p>\n Muhammad Ridhwan Khiril Anwar, Nur Arina Bazilah Kamisan & Aimi Athirah Ahmad<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 1-9<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Mixed Convection Boundary Layer Flow of Viscoelastic Hybrid Nanofluid Past over a Sphere with Convective Boundary Condition<\/strong><\/p>\n Muhammad Syahmi Muhammad Zaly Shah & Wan Rukaida Wan Abdullah<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 10-19<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Identifying the Factors Influencing Poverty in Malaysia through Linear Model<\/strong><\/p>\n Najwa Shamimi Nazri & Shariffah Suhaila Syed Jamaludin<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 20-31<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Forecasting Housing Prices in Johor using Neural Network Models<\/strong><\/p>\n Ng Hui Yun & Siti Mariam Norrulashikin<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 32-41<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Robust Regression with the Presence of Outliers <\/strong><\/p>\n Nor Nabilah Zainol & Zarina Mohd Khalid<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 42-52<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n One-Way and Two-Way Analysis of Variance (ANOVA) using Parametric and Non-parametric Methods<\/strong><\/p>\n Nur Adibah Rozaini & Zarina Mohd Khalid <\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 53-65<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Time Series Forecasting on Number of Accidents: A Case Study in Leeds, UK<\/strong><\/p>\n Nur Aini Najwa Mohd Kamal & Adina Najwa Kamarudin<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 66-74<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Survival Analysis for Tooth Filling Using Cox Regression Method<\/strong><\/p>\n Nur Aqilah Has-Yun Khairusy Syakirin Has-Yun & Noraslinda Mohamed Ismail <\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 75-85<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Exploring Survival Analysis: Cox Regression in Colorectal Cancer Research <\/strong><\/p>\n Nur Elyana Norashid & Noraslinda Mohamed Ismail<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 86-96<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Prediction Of Adult Overweight and Obesity Using Logistic Regression <\/strong><\/p>\n Nur Hafizatul Husna Mohamd Hafizi & Haliza Abdul Rahman<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 97-106<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Temporal Relationship between Financial Time Series<\/strong><\/p>\n Nur Izzati Saharizal & Norhaiza Ahmad<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 107-115<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Solute Dispersion in Blood Flow for a Two-Fluid Model through a Stenosed Artery<\/strong><\/p>\n Nur Syafiqah Mihat & Nurul Aini Jaafar<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 116-125<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Missing Value Imputation on Wind Direction Data<\/strong><\/p>\n Ong Boon Leong & Nur Arina Bazilah Kamisan<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 126-135<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Utilization of the Fractional Holt-Winters Model for Forecasting Tourist Arrivals from Singapore to Malaysia<\/strong><\/p>\n Pang Zhen Cong & Ani Shabri<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 136-144<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Wind Speed Forecasting in Alor Setar using Artificial Neural Network<\/strong><\/p>\n Suzanna Kueh Siew Ping & Nur Arina Bazilah Kamisan<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 145-152<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Uncertainty Quantification in Water Demand Prediction in Johor<\/strong><\/p>\n Tan Cheow Qing & Arifah Bahar<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 153-164<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Analysis of First Layer Calcination Temperature Influence on Band Gap of Electrodes using Polynomial Curve Fitting and Cubic Spline Interpolation<\/strong><\/p>\n Tan Pei Heng & Taufiq Khairi Ahmad Khairuddin<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 165-173<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Factors Affecting Unemployment Rate and the Forecasting Trend<\/strong><\/p>\n Tay Vizie & Adina Najwa Kamarudin<\/em><\/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=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 174-184<\/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=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Modelling Season-Long Team Performance in the Big 5 European Football Leagues using Partial Least Squares Regression<\/strong><\/p>\n
Mohd Ali Khameini Ahmad
Zaiton Mat Isa
Nurul Aini Jaafar<\/p>\n