Hubungan Persepsi Latihan Dengan Kepuasan Kerja Di Kalangan Guru-Guru Koperasi Sekolah-Sekolah Menengah Zon Sentul, Wilayah Persekutuan : Satu Kajian Emperikal

This emperical study was conducted among the co-operative teachers at 11 secondary schools in Sentul Zone, Wilayah Persekutuan. The main aim of this research is to investigate; (i) perception of adequate training and job satisfaction; (ii) perception of beneficial training and job satisfaction, (iii) demographic factors that have significant relationship with job satisfaction, (iv) the level of job satisfaction among the cooperative teachers, and (v) to detect the predictors of job satisfaction. Questionnaire was constructed based on the measurement suggested by; (I) Koning, 1993, which focused on 6 items on adequate training, (ii) Garavan and Cinneide, 1994, which consists of 12 items on beneficial training, and (iii) 15 items on job satisfaction by Chalykoff and Kochan, 1989. Selected demographic factors analysed are age, gender, academic qualification, working experience, teaching periods, performance appraisal and rewards. Research findings showed that; (i) there is a positive and significant relationship between beneficial training and job satisfaction, (ii) teaching periods a negative and significant relationship with job satisfaction, and (iii) there is a difference in job satisfaction among the co-operative teachers. Other hyphotheses testing are not significant and are not supported. Finally, researcher would like to make recommendations to the administrators which are; (i) to give full commitment to the co-operative activities without depending totally on Jabatan Pembangunan Koperasi, and (ii) it is an advantage to apply Strategic Management techniques to improve the work and the school co-operative performance

Reward and compensation system on employee performance during pandemic Covid-19

An employee is an organization's most asset. This is because employees' decisions or conduct will affect the organization's success or failure. The firm's management should motivate employees by providing them with the best possible compensation to assure their optimum performance. The purpose of this study was to examine the impact of reward and compensation on employee performance during pandemic Covid-19. A survey was distributed through online questionnaire focuses on employee in Negeri Sembilan especially in Kuala Pilah, Rembau and Bahau. A total of 157 data was collected and used for analyses purpose using linear regression. The findings of this study indicate reward has significant positive influence on employee performance during pandemic Covid-19 by using regression of coefficient (ß = 0.315, p > 0) However, compensation shows insignificant result in current study (ß = -0.061, p > 0). The implication, limitation and recommendations for future studies were further discussed

Empowering Whistleblowing Policy within Public Listed Companies: Current Practice in Malaysia

Whistleblowing is an act of disclosing any unethical or questionable act within an organization by disclosing them to individuals, the public or authorities that could influence the wrongdoing. It became an important part of the corporate governance process as such action would benefit society and the organization. With the increase in whistleblowing cases involving publicly listed companies (PLCs) by the mass media in Malaysia, there is a dearth of information on to what extent these PLCs manage whistleblowing matters. As a general practice, albeit not compulsory, many publicly listed companies disclose whistleblowing statements in their annual report. As this aspect of corporate governance for the employees is still unexplored, this study purports to explore the form of disclosure on whistleblowing policy by publicly listed companies in Malaysia for the financial year ending 2021.  This study is a content analysis of 918 annual reports of companies listed in Malaysia.  The findings reveal that most of the companies disclosed matters relating to whistleblowing policies in their Statement of Corporate Governance section, established whistleblowing policies, and mentioned the importance of whistleblowing activities within sections in their annual reports. This study focuses on companies’ annual reports. Future studies could be conducted to assess whistleblowing disclosure in other mediums such as the official websites of the companies. The study explored the aspect of corporate governance for the employee as practiced within publicly listed companies in Malaysia. The findings revealed the companies’ best practices for promoting transparency and accountability within organizations

Robust Correlation Procedure via Sn Estimator

Pearson correlation coefficient is the most widely used statistical technique when measuring a relationship between the bivariate normal distribution when the assumptions are fulfilled. However, this classical correlation coefficient performs poor in the presence of an outlier. Therefore, this study aims to propose a new version of robust correlation coefficient based on robust scale estimator Sn. The performance of the proposed robust correlation coefficient is assessed based on correlation value, average bias and standard error. The performance of the proposed coefficient is compared with the classical correlation together with the existing robust correlation coefficient. Classical correlation coefficient performs well under the condition of perfect data. However, its performance becomes worst when data is contaminated. Under the condition of data contamination, robust correlation coefficient performed better compared to classical correlation

Application of Fuzzy Logic Controller for Safe Braking System: An Anti-Theft Tracking

Automotive security has become more challenging with the increasing of sophisticated modern technologies nowadays. While the transformation of automotive has brought major advancement in efficiency, it also led to the possibility of new threats in automotive field such as vehicle theft. In Malaysia, an average of sixty vehicles get stolen every day. Numbers of vehicle’s security and safety devices or system has been marketed such as safety alarms, door jammer, gearshift lock and global positioning system (GPS) tracker. However, there are also few limitations of these devices such as easily disable, notify false alarm and requires strong cellular network for continuous tracking. This paper describes the preliminary research and application of fuzzy logic based controller for braking system of stolen vehicle. In our future study, this system will be incorporated in the anti-theft tracking device with smartphone integration. In this study, two input parameters are considered which are the vehicle velocity and the sight distance. The proposed system will assist the user or vehicle owner to decide for safe braking control. Thus, reduce the risk of property loss or life loss

An Exploration of Accounting Student’s Perspective on Factors Influencing Audit Career Choice

This study aims to explore the factors influencing undergraduate accountancy students at Universiti Teknologi MARA Melaka branch to pursue careers in auditing. A structured questionnaire, distributed to participants via Google Forms, was employed to gather feedback from the students. The participants, categorized based on their academic levels, represent various stages of both theoretical and practical exposure to auditing subjects. The research team administered a questionnaire to evaluate accounting students' perceptions and intentions on the factors influencing careers in auditing. There is a strong positive correlation between job security and career intention followed by career development and a moderately significant positive correlation between job satisfaction and financial reward toward students’ intention to become auditors. A general lack of interest in the profession and concern about work-life balance contribute to the challenges of not pursuing a career in audit. Students perceived that real exposure to the auditing profession via academic visits, engaging experts through seminars, and interactive teaching methods could bridge the gap between academic learning and professional practice. Enhancing the alignment of educational offerings with industry requirements and students’ career aspirations with curriculum development, enhancing teaching methods, and partnerships between academia and industry will assist accounting students in developing a positive view of auditing careers and better preparedness for their future careers in this field

Minat dan persepsi murid Melayu daripada keluarga sosioekonomi tinggi di sebuah sekolah antarabangsa terhadap pembelajaran bahasa Melayu

Bahasa Melayu ialah bahasa rasmi dalam konteks pendidikan di Malaysia. Di sekolah antarabangsa, Bahasa Melayu ialah bahasa kedua kepada murid-murid warganegara Malaysia yang belajar di sekolah antarabangsa tersebut. Justeru, kajian ini bertujuan untuk meneroka minat murid pembelajaran Bahasa Melayu dalam murid kaum Melayu yang datang daripada keluarga sosioekonomi tinggi (Top 20- T20) di belajar di sebuah sekolah antarabangsa. Seramai tiga orang murid keluarga T20 dijadikan peserta kajian. Ketiga-tiga peserta kajian berumur 11 tahun dan kesemua mereka ialah murid lelaki. Kajian kualitatif dengan menggunakan kaedah temu bual dan analisis dokumen. Data temu bual dianalisis secara bertema. Dapatan kajian menunjukkan bahawa murid-murid T20 ini tidak berminat belajar Bahasa Melayu. Mereka beranggapan Bahasa Melayu tidak penting dan membosankan. Ibu bapa murid Melayu T20 tidak ada masa, sibuk bekerja, tidak bertutur dalam Bahasa Melayu sebaliknya bertutur bahasa Inggeris di rumah. Implikasi daripada kajian ini ialah Bahasa Melayu tidak penting bagi murid-murid yang belajar di sekolah antarabangsa, termasuk dalam kalangan murid kaum Melayu. Faktor sosioekonomi murid yang datang daripada keluarga T20 banyak mempengaruhi penggunaan Bahasa Melayu, terutamanya di rumah. Oleh itu, guru-guru Bahasa Melayu yang mengajar di sekolah antarabangsa perlu mempelbagaikan kaedah pengajaran mereka agar murid-murid T20 ini berminat, berasa seronok dan bermotivasi untuk belajar Bahasa Melayu. Sikap negatif mereka terhadap Bahasa Melayu yang dianggap tidak penting dan membosankan perlu diatasi melalui pengajaran yang kreatif dan menyeronokkan

Analysis of direct power control AC-DC converter under unbalance voltage supply for steady-state and dynamic response

This paper presents an analysis of Direct Power Control (DPC) technique for the Three-Phase Pulse Width Modulation (PWM) AC-DC converter under unbalanced supply condition. Unbalance condition will cause the presence of unbalanced current and voltages thus produce the negative components on the grid voltage as well as severe performance degradation of a grid connected Voltage Source Inverter (VSI). The input structures for conventional DPC has been modified with a three simpler sequence networks instead of coupled by a detailed Three-Phase system method. The imbalance voltage can be resolved by separating from the individual elements of voltage and current into symmetrical components called Sequence Network. Consequently, the input power relatively improved during unbalanced condition almost 70% through the measurement of Total Harmonic Distortion (THD) from the conventional Direct Power Control (DPC) in individual elements which is higher compared to separate components. Hence, several analyses are performed in order to analyze the steady state and dynamic performance of the converter, particularly during the load and DC voltage output reference variations

Robust Correlation Procedure via Sn Estimator

Pearson correlation coefficient is the most widely used statistical technique when measuring a relationship between the bivariate normal distribution when the assumptions are fulfilled. However, this classical correlation coefficient performs poor in the presence of an outlier. Therefore, this study aims to propose a new version of robust correlation coefficient based on robust scale estimator Sn. The performance of the proposed robust correlation coefficient is assessed based on correlation value, average bias and standard error. The performance of the proposed coefficient is compared with the classical correlation together with the existing robust correlation coefficient. Classical correlation coefficient performs well under the condition of perfect data. However, its performance becomes worst when data is contaminated. Under the condition of data contamination, robust correlation coefficient performed better compared to classical correlatio

Measuring the relationship of bivariate data using Hodges-Lehman estimator

The relationship of bivariate data ordinarily measured using correlation coefficient. The most commonly used correlation coefficient is the Pearson correlation coefficient. This coefficient is well-known as the best coefficient for interval or ratio bivariate data with a linear relationship. Even though this coefficient is good under the mentioned condition, it also becomes very sensitive to a small departure from linearity.Usually, this is because of the existence of an outlier. For that reason, this paper provides new robust correlation coefficients which combine the elements of nonparametric technique from the Hodges Lehmann estimator and the parametric technique based on the Pearson correlation coefficient. This paper also introduces different scale estimators such as median and median absolute deviation (MADn) and denoted by rHL(med) and rHL(MADn) respectively. The performance of the proposed correlation coefficients is measured by the coefficient values and these values are also being compared to the Pearson correlation coefficient and several existing robust correlation coefficients. The results show that the Pearson correlation coefficient (r) with no doubt is very good under perfect data condition, but with only 10% outliers, it not only give poor correlation value but turns the direction of the relationship to negative. While the rHL(med) and rHL(MADn) offer the highest coefficient values and these values are robust to the existence of outliers by up to 30%. With very good performance under all data conditions yet simple in the calculation, the rHL(med) and rHL(MADn) is considered a good alternative to the r when need to deal with outlier