43 research outputs found
THE INFLUENCE OF PERSONALITY AND ORGANIZATIONAL COMMITMENT AND WORK ENGAGEMENT TO EMPLOYEE SATISFACTION AND EMPLOYEE PERFORMANCE DPRD SAMARINDA CITY
In this study involving Civil Servants in Samarinda City DPRD. In this study, to see the performance of employees used a sample of 82 respondents. The data analysis used by the author is the Structural Equation Model (SEM). Hypothesis testing is done by multivariate analysis carried out through the SmartPLS program. Data analysis through partial Least Square (PLS) is done through two stages, namely: First, Assessing the outer model or measurement model. Second, assess the inner model or structural model. The results showed that Personality had a positive influence on employee job satisfaction, organizational commitment had a positive influence on employee job satisfaction, work engagement gave a positive effect on satisfaction, Personality had a positive influence on employee performance, organizational commitment had a positive influence on employee performance, work engagement provide a positive influence on employee performance, job satisfaction has a positive influence on the performance of employees of the Samarinda City Regional Representative Council. Keywords: Personality, Organizational Commitment, Work Engagement, Job Satisfaction, Employee Performanc
ANALISIS KUALITAS PELAYANAN DIGITAL APLIKASI BSI MOBILE DENGAN PENDEKATAN IMPORTANCE PERFORMANCE ANALYSIS (IPA) DAN CUSTOMER SATISFACTION INDEX (CSI)
Perkaitan Rutin Aktiviti dan Jenayah Serangan Seksual Ke Atas Wanita
Viktimisasi membincangkan perlakuan jenayah dari sudut pandang dan fokus terhadap mangsa jenayah. Kajian literatur terhadap Teori Aktiviti Rutin digunakan dalam memahami jenayah serangan seksual ke atas wanita sebagai mangsa. Teori Aktiviti Rutin menyatakan seseorang menjadi mangsa disebabkan keterlibatan tiga pihak iaitu pemangsa bermotivasi, mangsa yang menarik dan ketiadaan penjaga yang berkebolehan; dan individu yang menghabiskan banyak masa di luar rumah mempunyai risiko yang lebih tinggi untuk menjadi mangsa. Jadi kajian bertujuan untuk melihat apakah lokasi kejadian mempengaruhi serangan seksual yang terjadi. Kajian ini menggunakan reka bentuk kajian kualitatif dengan pendekatan kajian kes dan aplikasi teknik temu bual mendalam terhadap 11 orang informan bagi melihat faktor yang mencetuskan serangan seksual. Hasil kajian mendapati bahawa mangsa tidak sendirinya mencetuskan serangan seksual ke atas diri mereka sebaliknya tidak berdaya di atas faktor tinggal serumah bersama pemangsa, berseorangan dan kegagalan penjaga menjalankan tanggungjawab dengan baik. Kesimpulannya, viktimisasi terhadap mangsa serangan seksual tidak dicetuskan oleh mangsa sendiri tetapi mangsa merupakan individu yang tidak berdaya dan tidak bernasib baik
A document analysis of the visibility of sustainability in TVE teacher education programme: the case of a Malaysian HEI
There has been a global call for institutions of learning to engage in Education for Sustainable Development (ESD) by leading world organisations. Although scholars advocate for an interdisciplinary approach to sustainability, the research literature shows that majority of sustainability issues are addressed through fields such as environmental and developmental education. There has also been a call for the integration of Sustainable Development (SD) in Technical and Vocational Education and Training (TVET) programmes by various scholars and bodies such as the United Nations Education, Scientific and Cultural Organisation (UNESCO). The issue, however, is that Technical and Vocational Education (TVE) programmes are not yet embracing this call to integrate ESD into their programmes. Hence, it is imperative to reiterate the intersection between TVE and SD and how the former can contribute significantly to the SD agenda. Therefore, by completing a qualitative documentary analysis of a TVE programme, using a Malaysian Higher Education Institution (HEI) as a case study, this paper discusses the visibility of sustainability in TVE programmes as well as explores the overarching goal of ESD and why it is especially crucial for TVE. Findings reveal that the concept of sustainability is only barely reflected in the TVE teacher training curriculum. Recommendations for practice change and further research are presented and discussed
Lightweight Anomaly Detection Scheme Using Incremental Principal Component Analysis and Support Vector Machine
Wireless Sensors Networks have been the focus of significant attention from research and development due to their applications of collecting data from various fields such as smart cities, power grids, transportation systems, medical sectors, military, and rural areas. Accurate and reliable measurements for insightful data analysis and decision-making are the ultimate goals of sensor networks for critical domains. However, the raw data collected by WSNs usually are not reliable and inaccurate due to the imperfect nature of WSNs. Identifying misbehaviours or anomalies in the network is important for providing reliable and secure functioning of the network. However, due to resource constraints, a lightweight detection scheme is a major design challenge in sensor networks. This paper aims at designing and developing a lightweight anomaly detection scheme to improve efficiency in terms of reducing the computational complexity and communication and improving memory utilization overhead while maintaining high accuracy. To achieve this aim, oneclass learning and dimension reduction concepts were used in the design. The One-Class Support Vector Machine (OCSVM) with hyper-ellipsoid variance was used for anomaly detection due to its advantage in classifying unlabelled and multivariate data. Various One-Class Support Vector Machine formulations have been investigated and Centred-Ellipsoid has been adopted in this study due to its effectiveness. Centred-Ellipsoid is the most effective kernel among studies formulations. To decrease the computational complexity and improve memory utilization, the dimensions of the data were reduced using the Candid Covariance-Free Incremental Principal Component Analysis (CCIPCA) algorithm. Extensive experiments were conducted to evaluate the proposed lightweight anomaly detection scheme. Results in terms of detection accuracy, memory utilization, computational complexity, and communication overhead show that the proposed scheme is effective and efficient compared few existing schemes evaluated. The proposed anomaly detection scheme achieved the accuracy higher than 98%, with O(nd) memory utilization and no communication overhead
Hand properties of woven fabric treated with commercial softeners / Nor Kamalia Othman Adli... [et al.]
This study was carried out to determine the hand properties of cotton woven fabric treated with three different brands of commercial softeners and to identify the stiffness relationship between objective and subjective assessment. The hand properties refer to the impression feels when the fabric is touched, squeezed, rubbed or otherwise handled. The cotton woven fabric was categorized into light to medium weight and medium to heavy weight type. Three different brands of softener; Brand A, Brand B and
Brand C were used, and the fabric samples were washed by using top load home washing machine for 48 minutes in each cycle with the detergent and softener added into the washing machine dispenser drawer following the instruction label on the softener’s bottle. After washing process was done, the samples were evaluated objectively by their stiffness and panel experts did subjective assessment on the samples by investigating three attributes namely stiffness, softness, smoothness. The results obtained from objective and subjective evaluation were then analysed using Two-way ANOVA and Kruskal Wallis test respectively
A comparative study on law regulating cybersquatting in the United States of America and Malaysia / Muhammad Farid Omar … [et al.]
Cybersquatting was already an alarming issue throughout the whole world in these millennia. However through our observations in general, we see and discover that some regional minds especially for our scope, which is the proud and loving country of Malaysia have no significance stress on this issue as the heat of this offence either in the eye of the public as well as the Malaysian law itself, shows no inducement of seriousness in the aftermath of such offence. It may be fair to say that maybe the urge for development in this issue had not reach its peak in climax for an evolution and imposition for a much more perfected operation of law instead of only a functional one, but do we really need to actually wait for this issue to reach an alarming height where only then that we should take this offence seriously?. Due to this, we had decided to compare the United States of America's development of law against cybersquatting and make it our guideline of prevention in contrast with our country. Thus in this research, we had humbly highlighted the history of development of both the offence of cybersquatting as well as the stages in development of the Act that had emerged in governing them in both USA and Malaysia. With the degree of comparison with Malaysia, we had thus concluded that the same implementation that the USA had done in their cybersquatting Act should be done to Malaysian Act to improve its certain shortcomings
Evaluation on the effectiveness of using 3D rat model for teaching blood withdrawal technique among undergraduate students
Usage of 3D model in medical education is very important in this era as part of 21st century teaching method. Application of 3D printing model in medical education helps to improve student spatial visualization skill and also will increase their interest in difficult topic or subject specifically in the science-based issue. This study aims to evaluate the effectiveness of using a 3D rat model for teaching blood withdrawal techniques among undergraduate students. Workshop of usage of 3D model rat was conducted among all students. Students were exposure to classical teaching method of blood withdrawal and follow by workshop using 3D rat model. A set of questionnaire was given to students before and after usage of 3D- printed rat model. Data collected used a questionnaire consisting of socio-demographic, pre and post- test question and assessment towards 3D models. A total of 117 participants were tested. 3D-printed rat model was used as part of the paired sample t-test. The result supported the hypothesis that the 3D- printed rat model in teaching blood withdrawal techniques is more effective compared to the using classical teaching method in the classroom (p<0.05). Study also showed that students satisfy with usage of 3D model for teaching blood withdrawal techniques. This study further demonstrated the 3D print rat model is beneficial for interactive education and enriching student learning capacity
Ransomware detection using the dynamic analysis and machine learning: A survey and research directions
Ransomware is an ill-famed malware that has received recognition because of its lethal and irrevocable effects on its victims. The irreparable loss caused due to ransomware requires the timely detection of these attacks. Several studies including surveys and reviews are conducted on the evolution, taxonomy, trends, threats, and countermeasures of ransomware. Some of these studies were specifically dedicated to IoT and android platforms. However, there is not a single study in the available literature that addresses the significance of dynamic analysis for the ransomware detection studies for all the targeted platforms. This study also provides the information about the datasets collection from its sources, which were utilized in the ransomware detection studies of the diverse platforms. This study is also distinct in terms of providing a survey about the ransomware detection studies utilizing machine learning, deep learning, and blend of both techniques while capitalizing on the advantages of dynamic analysis for the ransomware detection. The presented work considers the ransomware detection studies conducted from 2019 to 2021. This study provides an ample list of future directions which will pave the way for future research
The effectiveness of self clean-up instruction at UiTM Rembau's medan selera / Amira Adlin Ahmad Fuad... [et al.]
The purpose of this research is to study the effectiveness of self clean-up instruction in UiTM Rembau's Medan Selera. Nowadays, cleanliness is an issue in UiTM Rembau’s Medan Selera. It has definitely affect each and every student whom usually have their daily meal there negatively due to the unhygenic environment.
This research has applied a qualitative method that uses in depth-interview, with open-ended and semi structured questions. We have interviewed UiTM Rembau students according to the research questions and research objectives. The results and discussions of this study are presented based on the stated research questions.
Based on the suggestions given by the informants, the researcher recommends that the existent instruction in UiTM Rembau’s Medan Selem needs to be changed in order for it to become more effective, and also to ensure a cleaner environment in Medan Selera. Researchers recommends that the instructions should meet students expectations as they are the ones that will be viewing, read, and to follow the instructions.
As a conclusion, an effective instruction is important to ensure a cleaner environment in UiTM Rembau's Medan Selera. Our mess should be our own responsibility and shouldn't be done by the cleaner nor others. If all the students follow the self-clean up instruction, the environment in UiTM Rembau’s Medan Selera will become clean and students will feel more comfortable to eat and spend their time in Medan Selera