Muhammad Naim bin Abdullah, Nor Ilyana Norzali, Ahmad Kamarul Syamil & Muhammad Imran Syafiq University Malaysia of Computer Science and Engineering
Abstract - Cut ‘N’ Shave application is an application like an e-commerce platform inspired by Foodpanda or Grabfood that serves the services towards the customer by delivery. So this application is applying the same method to serve the user but in a different area which is it focuses on hair services. Cut ‘N’ Shave application allows the user to search for their hair services in a particular area according to the availability of registered barber. The reason that this application is being developed is that currently the world is hugely impacted by the pandemic Covid 19 and the safest way to prevent the virus is by staying at home. Due to this restriction, most people stay at home and not risk their lives to go out. Due to that, many barbershops are impacted badly to maintain their business because of lacking customers. This app allows them to serve the customer by giving their service at the respective customers’ homes. This project aims to allow the barbershop to get the income and maintain their business along with the users who are in need to get their hair treatment or services. The system is meant to be quick and simple to use as there are multiple e-commerce applications developed like Grabfood and Foodpanda which are applying the same method but in different scopes. The application is then implemented for both mobile operating systems which are google store and app store. The application is constrained towards mobile devices and cannot get it on the web. For future development, the project hopes to work on the barber sides since currently the application is focused on the customer sides only and to achieve a better user experience to give a more efficient application.
University Management System (UMS) 3.0
Muhammad Naim bin Abdullah, Pong Wen Wai, Foo Wei Xun, Lau Jun Fai & Tee Wei Sheng University Malaysia of Computer Science and Engineering
Abstract - The UNIMY Management System Upgraded Edition is a management system developed solely for the UNIMY community. It is a web application that resembles the similar functionalities in the original UMS with additional features added into the system. The system is developed using web-technologies with the likes of HTML, CSS, Javascript and PHP. The motivation behind the development of this application is because we would like to simplify certain university-related processes into one centralised system thus reducing the reliability on other platforms such as WhatsApp. The aim of this project is to provide the UNIMY community with a comprehensive and dynamic management system compared to the current UMS. This system is a proof of concept as a possible improvement to the current UMS and hopes that the additional functionalities in this project can help improve the interaction between UNIMY students and management. We have also taken references from management systems from universities such as Tunku Abdul Rahman University College (TARC) and Asia Pacific University (APU) to further widen our perspective. The processes in the system are similar to the current UMS and simplified due to inadequate development time. The future development of this project would improve the functionalities of the system to release the system into the mobile platform that allows more efficiency and mobility.
PROGRAMME & ABSTRACT BOOK
Research & Innovation Poster Competition (RIPC) Series 1/2021
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Symmetric and Asymmetric Effects of Macroeconomic Fundamentals on the Stock Prices Movements in ASEAN-5 Countries
Peck-Ching SIA, Chin-Hong PUAH, & Choi-Meng LEONG University Malaysia Sarawak
Abstract - This study investigates the symmetric and asymmetric effects of macroeconomic fundamentals on the stock prices movements in ASEAN-5 Countries. Stock market performance is one of the concerns of the authorities as stock markets possessed unilateral impact on economic growth (Hoque & Yakob, 2017) while it can be one of the significant indicators of economic performance.
Stock trading allows businesses to proceed with their expansion, while offers investors with profit from the gains in stock value along with company dividend payments. The market capitalization of the ASEAN-5 countries generally is in line with their stages of development. Thus, stock market has gained serious attention by the government and the key industry players after the Asian Financial Crisis. In ASEAN, the supply chain disruptions, travel restrictions, and lockdowns due to pandemic have had caused a swift outflow of capital and rapid depreciation of the exchange rates across the region.
Consequently, stock market values fell. Determining the stock market indicators that can provide signal before an occurrence of the crisis or shocks will be crucial to the authorities in ASEAN. Due to the strategic location, the Indonesia, Malaysia, Philippines, Singapore and Thailand (ASEAN-5) have experienced rapid economic growth despite the combination of both developed and developing markets. This study empirically investigates the determinants of stock prices using macroeconomic determinants (economic development, banking sector development, inflation rate, interest rate, exchange rate and private capital flows) in ASEAN-5 countries. There is a lack of empirical evidence on the asymmetric effect of macroeconomic fundamentals on stock prices. In addition to the analysis of symmetrical effect using Autoregressive Distributed Lags (ARDL) Model, asymmetric effect is also analysed by Nonlinear Autoregressive Distributed Lags (NARDL) Model. The study makes use of the theoretical and empirical findings to address conceivable recommendations on how macroeconomics fundamentals can be best effecting stock markets in the years to come. Policymakers can use it for policy tools design to monitor the economic performance and assemble stimulus package to sustain businesses and individuals before the impact of stock prices changes translate to further deterioration in the economy.
Malaysian STAR Pilot Clinical Trial for Diabetic Patients within ICU
Nur Athirah Binti Abdul Razak & Normy Norfiza Abdul Razak Universiti Tenaga Nasional
Abstract - Background: Diabetes Mellitus patients who are critically ill tends to be more varied physiologically due to higher insulin resistance. Model-based glycaemic control (MBGC) in critically ill diabetes patients offer blood glucose (BG) management to reduce dysglycaemia and mortality. MBGC using STAR protocol has been used in New Zealand and recently STAR clinical trial was done in Malaysia. However, generalizing GC in the intensive care unit (ICU) diabetic patients could be challenging due to variation in insulin and nutrition administration, clinician adaptability, and patient’s conditions. Thus, to ensure the GC protocol generalizability is effective, a comparison between clinical and virtual trial is needed Objective: This study presents virtual trials of MBGC performance and safety using stochastic targeted (STAR) protocol in diabetic and non-diabetic patients in the Malaysia intensive care unit (ICU). Method: A total of 133 ICU patients (78 diabetic and 55 non-diabetic) from International Islamic University Malaysia Medical Centre (IIUMMC) hospital were used and have undergone STAR clinical trial. MBGC incorporated glucose-insulin-nutrition model, which identified each patient physiological response. Then, virtual trial was performed to ensure the MBGC of STAR protocol generalizability, efficiency and safety for future implementation. Virtual trial of STAR was done by assessing GC performance and safety. The performance was assessed from median and interquartile of BG, percentage BG time in-band (TIB) of 4.4 – 8.0 mmol/L, 6.0 – 10.0 mmol/L, and BG measurements. Meanwhile, patient’s safety was assessed by the number of mild hypoglycaemia (BG<4.0 mmol/L) and severe hypoglycaemia (BG<2.2 mmol/L). Results: The median and interquartile of BG were lower in STAR virtual trial compared to clinical for both DM and NDM patients with an average of 8.80 mmol/L vs 8.50 mmo/L (clinical vs in silico) and 8.60 vs 7.8 mmol/L respectively.
Median TIB 6.0 – 10.0 mmol/L showed an increase values of 64.8 % vs 71.4% and 65.3% to 73.2% in hourly measurement of per patients. As for BG measurement, STAR virtual trial had reduction in frequency and low number in hypoglycaemia. Conclusion: The generalization of STAR successfully control patient’s BG and demonstrated low number of severe hypos with fast adaptation from clinicians. Although Malaysian patients have slightly lower performance than New Zealand that comes from physiological variation, patient’s monitoring was more personalized which followed each patient’s condition. In future, a study on MBGC using parameter that representing diabetic patients can be implemented to improve the GC using STAR protocol.
PROGRAMME & ABSTRACT BOOK
Research & Innovation Poster Competition (RIPC) Series 1/2021
55
Game-based Learning: “Permainan Jangkaan Matematik Darab dan Bahagi (P-JMat Darab & Bahagi)”
Application
Izzat Syahir Mohd Ramli, Siti Mistima Maat & Fariza Khalid Universiti Kebangsaan Malaysia
Abstract - Game-based learning (GBL) applications are seen to have many benefits in helping to improve the quality of the teaching and learning process. The GBL approach encourages students to solve problems, self-learning and in turn enables students to learn mathematical concepts without realizing it. However, teachers prefer to use conventional approaches in teaching and learning. This teaching method will only encourage students to learn passively with a high level of dependence on teachers. As a result, students are not able to answer Mathematics questions well and in turn cause low Mathematics achievement especially in multiplication and division. Therefore, the application
"Permainan Jangkaan Matematik Darab & Bahagi (P-JMat)" is built to improve multiplication and division skills among students. P-JMat is built using the GBL approach and is based on the theory of constructivism. In addition, cognitive load theory is also applied to ensure that the resulting P-JMat application takes into account the cognitive load factor of students. A study was conducted using the pre-test and post-test experimental methods of one group. 32 of Year 3 students from two rural primary schools in Subis District, Sarawak were involved. The results showed that the use of P-JMat has successfully increased the mean of student achievement from 26.3% in pre-test to 88.0% in post-test. In addition, P-JMat also supports the requirements of the Industrial Revolution 4.0 where learning analytics from login frequency data, usage time and score data of this application is recorded and analyzed to anticipate student achievement. The P-JMat application is also built according to the KSSR Primary Mathematics syllabus with the learning process in this application is gradually progressing from easy to difficult. This P-JMat application has the potential to be digitally commercialized through the Play Store, Apple Store and AppGallery. The effect of P-JMat can increase student motivation and achievement in Mathematics. It can also reduce parents' concerns about addiction to non-learning-based game applications and encourage the formation of a more effective national curriculum and education policy with the application of learning analytics.
Warning Alert System for Motorcyclist Related to Rear End Crashes
Norlezah binti Hashim, Siti Nur Baijan Binti Yaakop & Fakrulradzi bin Idris Universiti Teknikal Malaysia Melaka
Abstract - According to Polis DiRaja Malaysia (PDRM) crash statistics, more than half of million road accidents cases recorded in 2018. Road accidents involving motorcycles and slow moving vehicles. This objective of this project is to create a warning alert system to motorcyclist that able to detect short distances between motorcycles and other vehicle upfront. Besides detecting short distances between motorcyclist and vehicle upfront, results show this system is able to send warning messages to the selected contact in case any accident occur. The project was successfully designed and developed.
A Convenient Synthesis of Some Novel β-Carboline Derivatives
Nur Ain Nabilah Ash'ari, Dr. Noor Hidayah Pungot, Prof. Dr. Zurina Shaameri & Dr. Nor Akmalazura Jani Universiti Teknologi MARA (UiTM) Shah Alam
Abstract - β-Carbolines, belonging to the class of indole alkaloids, were isolated from wild Syrian rue (Peganum harmala), which is common in Iran. Over the past few decades, the synthesis of β-carbolines has elicited much interest due to its wide pharmaceutical and biological applications. Neurochemical and behavioral studies have shown that some β-carboline alkaloids facilitate the dopaminergic transmission and interact with D1 and D2 dopaminergic receptors in the striatum of the human brain.
Due to their unique rigid heterocyclic skeleton, β-carbolines demonstrate promising pharmacological diversity of neuroprotection, antioxidant, anticancer, antibacterial, antitumor, antiviral, anti-allergic, antimalarial, anti-leishmania and anti-HIV. For instance, one of their many derivatives, the daibucarboline A, is proved to demonstrate interesting anti-inflammatory activity. However, there are no reports on the synthetic route of daibucarboline A and its derivatives in addition to limited works on its isolated compound. In this research, a series of β-carboline derivatives were synthesized by using three efficient reaction steps. The synthetic route begins with the synthesis of tetrahydro-β-carboline intermediate as the key structural moiety. It involves coupling of tryptamine with different substituted alkyl and aryl aldehyde via Pictet-Spengler Condensation reaction. Subsequently oxidative dehydrogenation reaction using a metal-free iodine-mediated method followed by N-alkylation afford a practical access to a series of corresponding β-carboline derivatives which are anticipated to display similar or even better bioactivities to that of daibucarboline A. Five novel intermediates and derivatives of β-carboline were successfully synthesized in moderate yields without the use expensive metal catalyst, prolonged reaction hours or critical reaction conditions. The molecular structures of all synthesized compounds were confirmed by infrared (IR) spectroscopy and nuclear magnetic resonance (NMR) spectroscopy.
Projecting The Sea Level Rise Using Deep Learning Technique And Geospatial Technologies
Muhammad Haikal Fayyadh Bin Munadi & Nurul Hazrina Binti Idris Universiti Teknologi Malaysia
Abstract - This paper presents the full reports on finding the best algorithm in which neural network technique of deep learning is used to obtain the precision of waveform retracking method. This study case adapting Monte Carlo simulation by demanding on 50,000 simulated data; 60% for train data and 40% on simulated. For estimated geographical parameters more precise, optimization on waveform retracking is needed by comparing and combine multiple of retracking algorithm. As the recent finding, it was indicate that the best parameters for offset reduction are neural network Set 2 with 10 hidden layers with the lowest root mean square error and standard variance deviation are 0.7 cm and 0.2 cm repectively. Unfortunely, when it been testing on real data, some issue arise; overfitting of the data.
The RMSE suddenly increasing. Thus, performance generalization is done by controlling the performance value range to be reach before the system stop. The finding come up with the value of performance from 2.37E-05 to 3.67855E-05 by using Z-score analysis with mean been replace by median for mean absolute deviation (MAD).
PROGRAMME & ABSTRACT BOOK
Research & Innovation Poster Competition (RIPC) Series 1/2021
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