[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 column_structure=”1_2,1_2″ _builder_version=”4.27.4″ _module_preset=”default” background_color=”#a8f7ce” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” background_color=”#FFFFFF” global_colors_info=”{}”]<\/p>\n
<\/strong><\/p>\n Guest Editors:<\/strong><\/p>\n ANATI ALI <\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”http:\/\/science.utm.my\/procscimath\/wp-content\/uploads\/sites\/605\/2025\/11\/1.-Front-page-Vol-32-2025.pdf” url_new_window=”on” button_text=”FRONT PAGE” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_button][et_pb_button button_url=”http:\/\/science.utm.my\/procscimath\/wp-content\/uploads\/sites\/605\/2025\/11\/2._Table_of_Content_Vol_32_2025.pdf” url_new_window=”on” button_text=”TABLE OF CONTENT” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_button][\/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_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n TITLE<\/strong><\/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=”4.16″ _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=”4.27.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n T<\/em><\/strong>ime Series Forecasting on Live Births in Malaysia<\/em><\/strong><\/p>\n Ng Jie Han, Nur Syazwin Mansor & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 1-10<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Rainfall Forecasting in Johor by Using Vector Autoregression<\/em><\/strong><\/p>\n Ng Zhi Wei & Siti Rohani Mohd Nor<\/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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 11-20<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Application of Markov Chain in Analysis Rainfall Behaviour in Agricultural Region of Alor Setar Kedah<\/em><\/strong><\/p>\n Nuha Tasnim Yazid & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 21-27<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Trend Analysis of Blood Donation Trends Across States Based on Functional Data Analysis<\/em><\/strong><\/p>\n Nur Athirah Ali & Muhammad Fauzee Hamdan<\/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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 28-36<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Magnetohydrodynamic Flow of Carbon Nanotubes and Heat Transfer Over a Moving Thin Needle with Suction and Injection<\/em><\/strong><\/p>\n Nurul Rafissah Huda Ghazali & Lim Yeou Jiann<\/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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 37-47<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Forecasting on Monthly Rainfall for Petaling Jaya, Malaysia and Surakarta, Indonesia Using Time Series Models<\/em><\/strong><\/p>\n Ong Jing Yi & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 48-58<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Forecasting the Consumer Price Index (CPI) Using Time Series and Multiple Linear Regression Models: Analysing the Influence of Fuel Prices on Inflation Trends<\/em><\/strong><\/p>\n Pow Jing Huei<\/em> & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 59-68<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Forecasting Tourist Arrivals to Malaysia from Indonesia, Singapore, and Thailand Using ANFIS, ARIMA, and Exponential Smoothing<\/em><\/strong><\/p>\n Puah Tiong Hui & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 69-77<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n A Comparative Study on Forecast Combination and Their Individual Forecasts for Electrical Load Data<\/em><\/strong><\/p>\n Siti Radiah Roslan & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 78-87<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n A Predictive Approach to Loan Approval Decisions Using Logistics\u00a0Regression <\/em><\/strong><\/p>\n Nurul Amy Nazlien Nasir & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 88-95<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Breast Tumor Clustering and Malignancy Detection<\/em><\/strong><\/p>\n Siti Norezan Md Shah & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 96-105<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Functional Characterization of the Dynamic Interplay Between Renewable Energy Use, Economic Output, and Carbon Emissions<\/em><\/strong><\/p>\n Peter Chai Chee Kiong & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 106-113<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n A Comparative Analysis of Linear Regression, Random Forest, And XGBoost For Dynamic Pricing Optimization in Ride-Hailing Platforms<\/em><\/strong><\/p>\n Suen Xemin & Hang See Pheng<\/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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 114-123<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Vehicle Route Planning for Relief Item Distribution under Flood\u00a0Uncertainty Using Simulated Annealing<\/em><\/strong><\/p>\n Sufi Aliani Mohd Zamri & Farhana Johar<\/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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 124-132<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Analysing Impact Factors on ICU Ventilator Time to Death Using Survival Analysis Approach<\/em><\/strong><\/p>\n Teoh Ao Wen & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 133-142<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n A Data-Driven Optimization Framework for Equitable Medical Resource Allocation During a Health Crisis<\/em><\/strong><\/p>\n Vineeta Rajakumar & Farhana Johar<\/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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 143-150<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Dynamic Modeling of Tumor Growth with Single-Dose Radiation Therapy Response <\/em><\/strong><\/p>\n Yap Jun Xiang & Normah Maan<\/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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 151-160<\/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=”4.27.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Time Series Forecasting on the Amount <\/em><\/strong>of Rainfall in Kuala Lumpur<\/em><\/strong><\/p>\n Yeo Li Yi, <\/em>Nur Syazwin Mansor & 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=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 161-170<\/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=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Unsteady Dispersion of Solute in Casson Blood Flow Through \u00a0a Bifurcated Porous Artery<\/em><\/strong><\/p>\n
NORSYAHIDA ZULKIFLI
SITI MARIAM NORRULASHIKIN
ZAITON MAT ISA<\/p>\nDepartment of Mathematical Science, Faculty of Science, UTM\u00a0<\/span><\/h5>\n