INTI Institutional Repository
Not a member yet
2178 research outputs found
Sort by
Customer Satisfaction on Public Transportation in Penang, Malaysia
No full textThis paper reports the customers’ satisfaction about public transportation service in Penang,
Malaysia. In this respect, some of the factors namely reliability, accessibility, safety and security
are used to measure the customers’ satisfaction on bus service Rapid Penang, Malaysia. A survey
was conducted where questionnaires were distributed to 500 bus passengers. The results of the
study indicates that reliability, accessibility, safety and security of bus service are positively
significant to customer satisfaction. The contribution of the study creates better understanding of
the service provider the factors that able increase customers’ satisfaction and base on the
knowledge they able to improve their services and gain the customers’ trust
A Study on Separation Efficiency of Multiphase Desander
No full textDrilling process in the oil and gas industry will commonly result in large amounts of solids (typically sand and small stones) to make its way into the pipeline. In overcoming this predicament and to prolong the life of the processing machineries, a desander is used. However, a large desander usually results in higher cut point where the smaller particles are not efficiently removed, reducing its separation efficiency. The study was aimed to develop a 12” desander or better known as a hydrocyclone that is able to have a high separation efficiency. The hydrocyclone is designed to handle high throughputs of a 12” desander but is able to achieve lower cutpoints and efficiency equivalent to a smaller hydrocyclone if not better. The geometry of the hydrocyclone was designed based on the optimal configuration for 12” hydrocyclone while manipulating the vortex finder to total length ratio ranging from 0.1 to 0.5. The 3D geometry was developed in ANSYS Space Claim then was proceeded to ANSYS Fluent for carrying out Computational Fluid Dynamics (CFD) Simulation. The hydrocyclone was subjected to a fixed feed pressure of 20 Psi to obtain the optimal design. Upon obtaining the optimal design, the hydrocyclone was subjected to varying feed pressure from 15 to 35 Psi with fixed intervals of 5 Psi. Conclusively, the hydrocyclone with 0.1 vortex finder ratio was found to result in the highest separation efficiency and the hydrocyclone operating at 25 Psi was found to further increase in the separation efficiency. However, this research has a gap in terms of the performance of the other designs at various feed pressures and has a lack of data in terms of cutpoint
The Unique Role of Hope and Optimism in the Relationship between Environmental Quality and Life Satisfaction during COVID-19 Pandemic
No full textCOVID-19 in Malaysia has significantly affected the higher education system of the country and increased the level of distress among university students. Empirical evidence proposed that environment quality is associated with university students’ life satisfaction during COVID-19. It was found that hope and optimism are linked with greater life satisfaction in general. Although past literature has reported the effects of hope and optimism on life satisfaction, there are limited studies examining the underlying mechanism among Malaysian private university students. Therefore, the current study offers the preliminary understanding of the intervening role of hope and optimism on the relationship between environmental quality and life satisfaction among private university students in Malaysia. A total of 133 private university students in Malaysia were recruited through homogenous convenience sampling. Partial least square structure equation modeling (SmartPLS) was used to analyze the mediation models. The results revealed that only hope mediated the relationship between environmental quality and life satisfaction, but not optimism. Hence, it is proposed that mental health providers should focus on providing hope-related interventions to university students in confronting COVID-19 challenges and ultimately improving life satisfaction
The Influence of Filler Loading and Alkaline Treatment on the Mechanical Properties of Palm Kernel Cake Filler Reinforced Epoxy Composites
No full textThe manufacturing of materials, in conjunction with green technology, emphasises the need to employ renewable resources to ensure long-term sustainability. Re-exploring renewable elements that can be employed as reinforcing materials in polymer composites has been a major endeavour. The research goal is to determine how well palm kernel cake filler (PKCF) performs in reinforced epoxy composites. In this study, PKCF with 100 mesh was mixed with epoxy resin (ER) in various ratios ranging from 10% to 40% by weight. Hand lay-up with an open mould is proposed as a method for fabricating the specimen test. Surface modification of PKCF with varying concentrations of NaOH (5 wt.% and 10 wt.%) will be contrasted with the untreated samples. Using Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC), the effect of alkaline treatment will be examined. The tensile and maximum flexural strength of the untreated PKCF/ER composite were determined in this work, with a 30 wt.% of PKCF having the highest tensile strength of 31.20 MPa and the highest flexural strength of 39.70 MPa. The tensile and flexural strength were reduced to 22.90 MPa and 30.50 MPa, respectively, when the filler loading was raised to 40 wt.%. A 5 wt.% alkali treatment for 1 h improved the composites’ mechanical characteristics. Lastly, an alkali treatment can aid in the resolution of the problem of inadequate matrix and filler interaction. Alkaline treatment is a popular and effective method for reducing the hydroxyl group in fillers and, thus, improving interfacial bonding. Overall, palm kernel cake is a promising material used as a filler in polymer composites
Combined Body Weight, Abdominal Strengthening and Breathing Exercise for Post COVID LSCS Women
No full textBackground: The Respiratory Syndrome (SARS) family and some strains of the common cold are related by the SARS-coV-2 virus, a novel virus. For mothers who underwent a post-lower segment Caesarean section, post-COVID disorders like fatigue, dyspnea, arthromyalgia, depression and insomnia have severe repercussions, and caring for their newborn would be difficult. Objective: The aim of this study was to investigate the impact of combined body weight, abdominal strengthening and breathing exercise for Post COVID Lower Segment Caesarean Section Women. Methods: A double-blinded pilot randomized controlled trial was conducted on 30 subjects who underwent post Lower Segment Caesarean Section. Subjects were divided into 2 groups with 15 subjects in each group. Group-A received breathing exercises, abdominal draw-in maneuver, upper limb and lower limb strengthening exercises. Group-B was treated with straight plank, elbow plank, hip twist, crunch kicks, hollow body hold, combined with abdominal draw-in manoeuvre and breathing exercise. Results: Statistical analyses of post-test values of ultrasonography, dynamometer, and sit-up tests revealed that patients who received combined body weight, abdominal strengthening, and breathing exercises in Group B showed significant improvement as compared to post-COVID LSCS women who received only breathing exercises, abdominal draw-in maneuver, and upper and lower limb strengthening exercises in Group A. Conclusion: The study concluded that the combined body weight, abdominal strengthening and breathing exercise was effective in treating for Post COVID Lower Segment Caesarean Section women
LITERATURE REVIEW ON THE EFFECT OF SOCIAL CUSTOMER RELATIONSHIP MANAGEMENT (SCRM) IN THE MALAYSIAN EVENT MANAGEMENT INDUSTRY
No full textThis study aims to examine the impact of Social Customer Relationships Management in the Malaysia Event Industry and the result of Customer Engagement from social media experience. A total of 23 journal papers were thoroughly reviewed. This paper presents an insight into the importance of Customer Relationship Management in the Malaysian event industry and the transition of Traditional Customer Relationship Management to Social Customer Relationship management. Besides, it also focuses on implementing 5 Experiential Dimensions by Schmitt in social media activities to increase customer engagement. Finally, it discusses the level of customer engagement in social media activities and the outcomes
Pathways to become a Qualified Accountant: A Comprehensive Guide for Students
No full textMalaysian government targeted to have 60,000 qualified chartered accountants by year 2020. Dr Lim Swee Geok, also known as Dr. Amy Lim, the Chief Executive Officer of Ler Lum Advisory Services Sdn. Bhd. on the other hand, had a burning desire to provide comprehensive information on the various pathways leading to a chartered accountant qualification to students upon enrollment in tertiary education. Besides, there being no single book available as a point reference on the certification and the awarding professional bodies, with Dr. Amy’s desire crossing path with government’s direction, saw her in initiating an e-Book, ‘Pathways to Become a Qualified Accountant.’ Dr Amy holds a strong belief that every student, those pursuing an accounting degree, and those who are merely keen, deserves to bear sufficient knowledge on the available pathways to become a qualified accountant and by doing just that, they will be able to visualize clearly the paths that they intend to take, all whilst taking that step needed to reach, if not exceed, the government’s mission
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image
No full textCorneal diseases are the most common eye disorders. Deep learning techniques are used to perform automated diagnoses of cornea. Deep learning networks require large-scale annotated datasets, which is conceded as a weakness of deep learning. In this work, a method for synthesizing medical images using conditional generative adversarial networks (CGANs), is presented. It also illustrates how produced medical images may be utilized to enrich medical data, improve clinical decisions, and boost the performance of the conventional neural network (CNN) for medical image diagnosis. The study includes using corneal topography captured using a Pentacam device from patients with corneal diseases. The dataset contained 3448 different corneal images. Furthermore, it shows how an unbalanced dataset affects the performance of classifiers, where the data are balanced using the resampling approach. Finally, the results obtained from CNN networks trained on the balanced dataset are compared to those obtained from CNN networks trained on the imbalanced dataset. For performance, the system estimated the diagnosis accuracy, precision, and F1-score metrics. Lastly, some generated images were shown to an expert for evaluation and to see how well experts could identify the type of image and its condition. The expert recognized the image as useful for medical diagnosis and for determining the severity class according to the shape and values, by generating images based on real cases that could be used as new different stages of illness between healthy and unhealthy patients
Design Metal Detecting Arduino Remote Control Robot Vehicle Controlled via Bluetooth
No full textIn today’s world, robotics is fast-growing and already interacting in many aspects of our daily lives. Robotic is part of the communication of advancement of technology, engineers have decided to work in this field to design or build robots that will make human life more advanced. There are several types of mobile robotics in today’s technology world. There are tracks robots, humanoid robots, water-based robots, wheels robots and etc. Thus, a metal detecting remote control robot vehicle is designed using four wheels in this research. The system is implemented using the Arduino platform, android application, and metal detector winding. This robot vehicle has been developed with the interaction of an Android-based device. Arduino Uno is used as the brain of the robot. It also includes the part of the software that utilizes a portable application. In this paper, a metal detecting robot is designed to allow the robot vehicle to detect the metal and the robot vehicle control via Bluetooth remote control. The proposed design is compared with the automated robot in terms of accuracy of detection, turning, and costing. The results show that the proposed design robot vehicle is able to provide an accurate and fast in detecting the metal movement, easier in turning, and cheaper
Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques
No full textGoogle Play Store was formerly known as Android Market. This biggest Android Application (App) provides a wide variety of details on requirements such as reviews, quality, number of installs, and explanations for device functionality. This study aims to predict the ratings of Google Play Store apps using decision trees for classification in machine learning algorithms. The goal of using a Decision Tree is to create a training model that can use to predict the class or value of the target variable by learning simple decision rules inferred from prior data. This method classifies a population into branch-like segments that construct an inverted tree with a root node, internal nodes, and leaf nodes. The algorithm is non-parametric and can efficiently deal with large, complicated datasets without imposing a complicated parametric structure. This enables us to draw a comprehensive picture of the current situation on the process of analyzing Google Play Store by Number of Downloading Rate and Rating in current market trend. This will help the developers understand customers' great desires, attitudes, and trends in demand. To understand more in-depth, the similarity between the functionality of the device and to construct clusters of related applications. Then, analyze their characteristics following features of interest. The datasets that the author used are collected from Google Play Store (2019). In this research, the expected results have a more strong correlation between price and number of downloads and similarity between price and participation