1,721,047 research outputs found
Xiaomi Company / Muhammad Ikmal Ihsan
Full text linkThis assignment is to identify the problem of the product which company that will be chosen in group of 5 students. For my group, we will be choosing Xiaomi Company as our representative company. Xiaomi has a lot of products, there is only one product to be chosen so I will be picking Xiaomi Mi Tv 3s 65 as product to be analysed. In this research, I have done the SWOT analysis in order to identify the strength, weakness, opportunities and threats of the Xiaomi Mi Tv 3s 65. In order to solve the problem Xiaomi Mi Tv 3s 65, I came up with an idea in order to solve this problem in this research
Tri-wheel trolley / Muhammad Ikmal Halimi Ismazi
Full text linkNowadays simple mechanical devices, such as hand trolleys with single and dual wheels, are finding widespread usage in a variety of businesses and households. However, its use is confined to transporting products from one position to another across the floors. There are no established designs on the market that meet the demand for assistance in moving the load oversteps. To overcome this challenge, stair wheels with three wheels are utilised as an alternative, reducing the effort of lifting. The current work focuses on the design and fabrication of a tri-wheel stair climbing hand trolley to move through uneven surfaces and transfer significant weights upstairs with the enhanced wheel arrangement while requiring significantly less human labour and manufacturing expense. The design considerations are explored, including the steepness of the steps, the stability and speed of the trolley while mounting the stairs. Hybrid trolleys, such as tri-wheeled trolleys, can be used to transport several things in places where mechanical elevators cannot be constructed [1]
Technology Entrepreneurship Project (ENT 600) : Nike / Muhammad Ikmal Mohd Isa
Full text linkThis is an endeavour to grasp how the theories can be applied to a practical situation. As a student in UiTM Perlis, it is a part of a study for everyone to undergo a case study project. So, for this purpose, I got the chance to research a corporate entity that manufactures a product that deeply interests us, which is Nike, a sports retailer. First of all, the general information regarding the corporate has been collected. Information is gathered through the primary and secondary source. In the second part of the report contains the specialized subject studies. The objective of the project is to figure on the background, organizational structure, products and services that Nike provides.
In this case study, I have analysed the strength, weaknesses, opportunities, and threats of this company in the real business world by using SWOT analysis to the product (football shoes). Next, I studied regarding the product manufactured by Nike, which is primarily a standard technology utilized by the company for its selected product that we have chosen which is their football shoes. Here, I will be explaining the problems of the shoes that have grab my attention. In this study, I will be explaining deeper regarding the problems and I would also be discussing the alternatives solutions towards the problems
Comparison of detection model using machine learning on android malware / Muhammad Ikmal Ihsan
Full text linkMobile devices have experienced tremendous growth during the past ten years. As gadgets become more pervasive and people save more sensitive data on their mobile devices, the prevalence of mobile malware has increased. Malicious software, commonly known as malware, poses a greater risk to these mobile devices nowadays. Recently, several articles have been published regarding the proliferation of Android malware. Many modern technologies, such as smartphones, have been used into Android malware development, enabling it to advance. It has been used for a long time but is now worthless due of the evolution of Android malware and the inability to detect it. This project utilized supervised machine learning techniques such as SVMs, Naive Bayes and Random Forest to build an android malware detection model. It also evaluated and train the selection of Android characteristics to evaluate the malware detection model's performance. Then, the project examined the effectiveness of several machine learning detection models in identifying Android malware. This project has been divided into five distinct parts, each with a distinct purpose. Initialization, planning, development, evaluation, and documentation are all part of the process. In the end of the project, the result has been discussed and been compared for each machine learning used to get the highest accuracy to achieve the project objectives. The result of the comparison using the machine learning techniques for Android malware dataset discovered that SVM machine learning get the highest percentage with accuracy of 0.93. It also recorded that SVM machine learning got the lowest FPR and highest TPR among other machine learning used in the project. For future references to do this project, the project can be improved by using the project’s own Android malware dataset and use more than three machine learning when training and evaluating the dataset to discover the true potential for each machine learnin
Horizontal Inequalities, Ethnic Separatism, and Violent Conflict: The Case of Aceh, Indonesia
Full text linkhuman development, aid, trade, security
Development of graphical user interface for milling machine energy prediction tool / Muhammad Ikmal Hakim Badrulsham
Full text linkIn this modem technologies, manufacturing industries facing a crisis that affect the environmental performance which is exceed of energy consumption in production. The machinists and manufacturers have found a way of reducing energy consumption during machining processes such as machining strategies optimization. Unfortunately, manufacturing industries have difficulties in practicing the optimization of machining strategies which is there is limited guidance to measure and predict the energy usage. This research developed a prediction tool to analyze the energy consumption in CNC milling machine operation and verified the effectiveness and functionality of the energy prediction tool. The prediction tool was generated using MATLAB Graphical User Interface (GUI) which study the energy consumption of CNC milling machine which affected by the optimization of machining parameters such as spindle speed (rpm), feed rate (mm/min) and depth of cut (mm) and also the behaviour of cutting paths used which are morph spiral, parallel and spiral. The finding of this research is the development of comprehensive GUI tool to predict the energy consumption during machining operation of 5-axis CNC milling. The accuracy of this developed GUI is measured to be 95% accurate which is done by comparing the predicted value with experimental data. As a consequence, the proposed machining energy GUI is capable to measure and predict the energy usage during machining operation of 5-axis CNC milling
Monitoring Adolescent Mobile Application (MAMA) Using GPS-Assisted Location Services / Muhammad Ikmal Rozzaman
No full textThis project is about Mobile Application Development of Monitoring Adolescent Mobile Application (MAMA) using GPS-Assisted Location Services. Data gathering done through observation and survey on stakeholder which are parents and adolescent. It has been discovered that most parents in Malaysia usually are working and face a hard time monitoring their adolescent location due to busy with work, so not all time they can monitor their adolescent location when they are outside. Besides that, the adolescent abduction cases are continuously increasing. This is particularly worrying parents to allow their adolescent out of the house. These is also a risk factor for the parent in child abduction because there‟s no decent method to minimize the issue. Normally parents use a social media application as a method for tracking and monitoring their adolescent. From these findings, it clearly shows that most parents in Malaysia currently does not have a very good method for monitoring their adolescent. Thus, this project is planned to develop a mobile application that provides some features which include location tracking, group, chat group, private message, geofence, help alert and other more features. There are four (4) phases in order to achieve these objectives. Phases of this project are planning and requirements gathering, analysis, design, and development. The raw data obtained from those requirements gathering technique was analyzed using CRUD analysis technique. A list of use cases was produced and be visualized using UML diagrams. The use cases and domain class diagram were documented in the Software Requirement Specification (SRS). While the system design and structures were documented in the Software Design Documentation (SDD). From this project, it will benefit the parent and adolescent in Malaysia in terms of monitoring their adolescent using this application. The future recommendation for the project are improves the security, available for other platform, adding push notification for other features and make available on offline help alert
Blending of SiO2 with LLDPE via extrusion 2 / Muhammad Ikmal Md Isa
No full textLinear low density polyethylene (LLDPE) was blended with filler SiO2 at a ratio up to 6% by extrusion to study the mechanical characteristics of the product and compared it with other journal. The maleic anhydride (MA) was grafted into LLDPE-SiO2 to determine the possible reaction. The LLDPE-g-MA composite filled with SiO2 were extruded and meltpressed in order to prepared samples from characterization and mechanical properties test. The FTIR results showed the interaction between LLDPE-g-MA and SiO2 and it also will affect the mechanical strength. The result obtained from this study showed that the LLDPE/SiO2-g-MAH composite was successfully prepared. It showed 2% wt. of SiO2 have the highest tensile strength while 4% wt of SiO2 is the highest ductility. For the flexural test, flexural modulus and strength are increase with the wt.% of SiO2 increase. From this study, it is found that SiO2 and MA can improve the strength of polymer but must be at the right amount
The factor affect leverage of listed construction companies / Muhammad Ikmal Hakim Saidun Bakri
Full text linkIn terms of leverage choice, the operation management and financial management of construction companies are very important. This is because failure to fulfil these will give impact to company's. It usually happen When there is bad financial management and lack of capital. According to Baharuddin, N. Khamis, Z., Wan Mahmood, W. M., and Dollah, H (201 1) defined that construction companies tend to use their own money first in settling the development before getting the profit. Therefore, there is a need to be explore and to investigate this issue. The purse of this study to examine affect the leverage of construction companies. This paper will focus on 20 construction firms that are listed in Bursa Malaysia. The dependent variable is leverage that Will be measure by debt to capital ratio. There are four independent variables in this study which is firm size, level of warrants, growth opportunities and cost of debt. The data from the sample of 20 construction companies and based on 5 year data from year 2009-2013. Total of 100 observations will be gained. This research will use quantitative secondary data which is panel data. Multiple regression model is use to interpret by the ordinary least squares (OLS) as the technique to determine the relationship between the dependent and independent variables
Antagonistic of Trichoderma spp. as biological control agent against Rhizoctonia solani, Sheath blight disease in rice / Muhammad Ikmal Mohd Zulkifli
Full text linkSheath blight caused by Rhizoctonia solani is categorized as the one of the most serious disease that effects the rice production which has widely established in many areas cultivation rice in Malaysia. The effective of Trichoderma was tested towards inoculated rice with R. solani which is the causal agent of disease severity. Therefore, the objectives of this study were to conduct pathogenicity test of R. solani of sheath blight disease on rice and to determine the performance of Trichoderma spp. for measurement against R. solani. Rice was growth under normal condition until reach maximum tillering and was conducted to pathogenicity test by using conidial suspension method. After that, suspension of Trichoderma was used as biological control agent. Disease severity was observed and recorded for 6 days in order to observe the difference of application using Trichoderma spp. All five isolates showed the disease severity after six days of inoculation with isolate SB 01 and SB 04 has 95% and 90% which is the highest score. Meanwhile, after the application of Trichoderma, isolate SB 01 and SB 04 has 50% and 30% score which is the highest score. As conclusion, by using Trichoderma spp. as biological control can be decreased the disease severity of sheath blight disease which causes by Rhizoctonia solani as pathogenic agent
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