[Quality of Memorization on Academic Performance Plus Tahfiz Uitm Shah Alam] Kualiti Hafalan terhadap Prestasi Akademik Plus Tahfiz Uitm Shah Alam

Memorization of the Quran is a practice that can improve the quality of memory as well as can strengthen the soul and spirituality of a person to produce a new generation of calibre resulting from the quality from the quality of education and personality of a person. In realizing the government's target to produce a total of 125000 professional huffaz in various fields by 2050 through the National Transformation 50 agenda (TN50). Universiti Teknologi Mara (UiTM) has responded to the challenge and has had a total of 105 students who participated in the Plus Tahfiz program which is offered as a co-curricular program. Participation by students from various academic fields is a challenge in ensuring that they complete their memorized syllabus before graduation. This study aims to examine the effect of memorizing the Qur'an done every day vis a vis the academic excellence obtained as well as the personality of the students themselves. The methodology used in this study is a survey method that uses a set of questionnaires. The results of this study found that memorization of the Quran has a positive impact on students' academic excellence based on the assessment of the current CGPA. The implications of the study found that the activity of memorizing the Qur'an should be given attention and blended in an integrated manner with the academic field because memorizing the Qur'an also contributes to the academic excellence of students and the personality of students. Hafalan al-Quran merupakan amalan yang dapat meningkatkan kualiti daya ingatan disamping dapat memperkasakan jiwa dan kerohanian seseorang bagi melahirkan generasi baru yang berkualiti dari mutu pendidikan dan sahsiah diri seseorang. Dalam merealisasikan sasaran kerajaan bagi melahirkan seramai 125000 huffaz profesional dalam pelbagai bidang menjelang 2050 melalui agenda Transformasi Nasional 50 (TN50). Universiti Teknologi Mara (UiTM) menyahut cabaran dan telah mempunyai seramai 105 jumlah mahasiswa yang meyertai program Plus Tahfiz yang ditawarkan sebagai satu program kokurikulum. Penyertaan oleh mahasiswa yang pelbagai bidang akademik ini menjadi satu cabaran dalam memastikan mereka melengkapkan silibus hafalan mereka sebelum bergraduasi. Kajian ini bertujuan untuk mengkaji kesan hafalan al-Quran yang dilakukan setiap hari dengan kecemerlangan akademik yang diperolehi serta sahsiah mahasiswa itu sendiri. Metodologi yang digunakan dalam kajian ini berbentuk kaedah tinjauan yang menggunakan satu set soal selidik. Hasil kajian ini mendapati bahawa hafazan al-Quran memberi impak yang positif kepada kecemerlangan akademik pelajar berdasarkan penilaian terhadap PNGK semasa. Implikasi kajian mendapati bahawa aktiviti menghafal al-Quran perlu diberi perhatian dan diadunkan secara bersepadu dengan bidang akademik kerana hafalan al-Quran juga turut menyumbang kepada kecemerlangan akademik pelajar dan sahsiah rupa diri pelajar

Univariate Financial Time Series Prediction using Clonal Selection Algorithm

The ability to predict the financial market is beneficial not only to the individual but also to the organization and country. It is not only beneficial in terms of financial but also in terms of making a short-term and long-term decision. This paper presents an experimental study to perform univariate financial time series prediction using a clonal selection algorithm (CSA). CSA is an optimization algorithm that is based on clonal selection theory. It is a subset of the artificial immune system, a class of evolutionary algorithms inspired by the immune system of a vertebrate. Since CSA is an optimization algorithm, the univariate financial time series prediction problem was modeled into an optimization problem using a weighted regression model. CSA was used to search for the optimal set of weights for the regression model to generate prediction with the lowest error. Three data sets from the financial market were chosen for the experiments of this study namely S&P500 price, Gold price, and EUR-USD exchange rate. The performance of CSA is measured using RMSE. The value of RMSE for a problem is related to the maximum and minimum value of the data set. Therefore, the results were not compared to other data sets. Instead, it is compared to the range of values of the data sets. The result of the experiments shows that CSA can make decent predictions for financial time series despite being inferior to ARIMA. Hence, this finding implies that CSA can be implemented on a univariate financial time series prediction problem given that the problem is modeled as an optimization problem

Determining the impact of window length on time series forecasting using deep learning

Time series forecasting is a method of predicting the future based on previous observations. It depends on the values of the same variable, but at different time periods. To date, various models have been used in stock market time series forecasting, in particular using deep learning models. However, existing implementations of the models did not determine the suitable number of previous observations, that is the window length. Hence, this study investigates the impact of window length of long short-term memory model in forecasting stock market price. The forecasting is performed on S&P500 daily closing price data set. A different window length of 25-day, 50-day, and 100-day were tested on the same model and data set. The result of the experiment shows that different window length produced different forecasting accuracy. In the employed dataset, it is best to utilize 100 as the window length in forecasting the stock market price. Such a finding indicates the importance of determining the suitable window length for the problem in-hand as there is no One-Size-Fits-All model in time series forecasting

Effect of bio fuel on performance and emissions of spark ignition and compression ignition engines by running on a variety of bio-fuels

Internal combustion engines are expected to continue to dominate as the major power source for automotive propulsion in the short to medium term in either major operating mode: spark ignition or compression ignition. An alternative way is needed in order to control the used of gasoline and diesel in a large quantity for a long period of time. An experimental investigation in this review paper was conducted to investigate the effect of bio fuel on performance and emissions of spark ignition and compression ignition engines by running on a variety of bio-fuels, including simulated bio-gas and commercial seed oil. Ricardo E6 variable-compression ratio research engine and dynamo meter fitted with a computer-based cylinder pressure display and processing system were used to run the bio-gas test in spark ignition engine. Single-cylinder direct-injection Gardner (IL2) research engine was used for seed oil bio-fuel test in compression ignition engine. The amount of carbon dioxide (CO2), nitrogen oxide (NOx) and emission for both engine ignitions were referred in this experiment. Besides, the performance for both ignition engines were referred as well. Compression–ignition engine operation with seed-oil derived bio-fuels leads to higher specific fuel consumption but not notably higher emissions of oxides of nitrogen or smoke, when compared with diesel fuel. Specific fuel consumption is lower comparable with spark-ignition engine operation with biogas and specific NOx emissions. Bio fuel is the best material to be used as the replacement for the petroleum such as diesel fuel and petrol fuel because the result shows that bio fuel gives the same performance for engine but with lower pollutants produced thus can reduced the air pollution

Examination of The Human and Social Capital Factors Towards The Success of Rural Women Entrepreneurs in Malaysia

Despite the increase in the number of woman entrepreneurs in Malaysia, the focus on entrepreneurial rural women remains largely under-researched. In particular, there is a dearth of studies in the field of rural women’s entrepreneurship regarding how human capital and social capital factors influence the success of these entrepreneurs. This knowledge gap thus contributes to a lack of developmental programs aimed at improving the human capital and social capital of these entrepreneurs. The present study aims to contribute towards filling this gap in knowledge and thus enable such programs to be developed and implemented. Rural women entrepreneurs from around Malaysia were selected using purposive sampling, and quantitative methods were used to obtain data from the study participants. The results obtained answer the following research questions: what is the influential role of (1) knowledge, (2) experience, (3) skills, (4) strong-tie relationships and (5) weak-tie relationships in the entrepreneurial success of rural women in Malaysia? The study used quantitative methods and PLS-SEM was used to analyse the data