Pertambahan koleksi dan pengurusan ruang secara berkesan : Pengalaman Perpustakaan UKM

Generally, every year a library’s collection will increase in tandem with the university’s current reference needs in education and research. An increase in collection will result in an increase in the need for space which will result in a decrease of users’ space. Therefore, the space in a library has to be managed effectively to meet the users’ current needs. This paper looks at the current status of space allocation in Malaysian public university libraries. It presents the experiences and strategies adopted by the UKM Library in effectively managing use of space. This includes the establishment of a 24-hour reading area and a Weeding Collection

Effect of cutting parameters on surface roughness in dry drilling of AISI D2 tool steel by using Taguchi Method

Hard drilling of AISI D2 reportedly produce accelerated wear to the cutting tool that detrimental to the surface finish. This paper presents the effect of drilling tool and drilling parameters by using Taguchi method to produce minimum surface roughness under dry conditions. The experiments were conducted using high speed steel (HSS) based drilling tools, coated with various coating layer (uncoated, TiN and TiCN) on material AISI D2 tool steel. Two cutting parameters, spindle speed and feed rate, each at three levels were considered. An L9 array, the signal-to-noise (S/N) ratio and the analysis of variance (ANOVA) were employed to analyze the significant and percentage of each parameters for minimum surface roughness. The results revealed that the drilling tools gave main affects the surface roughness based on the highest percentage distribution (95%), followed by the spindle speed (3%) and feed rate (0.4%). Further, the results of ANOVA indicated that the combination of optimum parameter recorded as drilling tools HSS-TiCN with spindle speed of 680 rpm and feed rate of 206.25 mm/min

A Scoping Review of Melon Manis Terengganu Research Perspective in Malaysia

Melon Manis Terengganu (MMT) is an iconic and official fruit of Terengganu state, Malaysia. MMT is the new melon variety introduced to the farmers in Terengganu as one of the ways to improve their socioeconomic level. The present scoping review attempts to recognise and synthesise the published materials on MMT research and explore the research perspective of MMT. The Web of Science, Scopus, Dimensions, and Google Scholar online databases have been included in this study to screen the published peer-reviewed documents on MMT research. A total of 15 full articles (with 565 cited references) have been accessed in this study. Publication on MMT began in 2018 where most of the scholars affiliated with Universiti Sultan Zainal Abidin and Universiti Malaysia Terengganu. The scientific research on MMT is limited, and the research topics are considered emerging knowledge. Biochemistry is the leading research discipline of MMT besides food processing, postharvest, entomology, crop performance and entrepreneurship. This synthesis review contributes to the body of knowledge, especially to the new academicians and scholars, in better understanding the current research progress and possible future research direction of MMT study in Malaysia. &nbsp

Effect of Cutting Parameters on Surface Roughness in Dry Drilling of AISI D2 Tool Steel by Using Taguchi Method

Hard drilling of AISI D2 reportedly produce accelerated wear to the cutting tool that detrimental to the surface finish. This paper presents the effect of drilling tool and drilling parameters by using Taguchi method to produce minimum surface roughness under dry conditions. The experiments were conducted using high speed steel (HSS) based drilling tools, coated with various coating layer (uncoated, TiN and TiCN) on material AISI D2 tool steel. Two cutting parameters, spindle speed and feed rate, each at three levels were considered. An L9 array, the signal-to-noise (S/N) ratio and the analysis of variance (ANOVA) were employed to analyze the significant and percentage of each parameters for minimum surface roughness. The results revealed that the drilling tools gave main affects the surface roughness based on the highest percentage distribution (95%), followed by the spindle speed (3%) and feed rate (0.4%). Further, the results of ANOVA indicated that the combination of optimum parameter recorded as drilling tools HSS-TiCN with spindle speed of 680 rpm and feed rate of 206.25 mm/min

The determinant factors for the issuance of Central Bank Digital Currency (CBDC) in Malaysia using machine learning framework

In order to identify the factors influencing the establishment of the Central Bank Digital Currency (CBDC) in Malaysia, this study leverages the machine-learning technique to determine the most critical factors leading to CBDC issuance in Malaysia. The overall Central Bank Digital Currency Project Index (CBDCPI) was selected as a target variable, while two machine learning algorithms, Random Forest and XGBoost were utilized to identify the determining variables. These algorithms were chosen for their ability to handle high-dimensional data and provide feature importance scores, which were crucial in identifying the most significant factors. The models were trained and validated using a rigorous crossvalidation process to ensure robustness. The accuracy achieved through the Random Forest was 83%, and subsequently, 80% in XGBoost. This study explored a new research frontier by creating two machine-learning models that treated retail and wholesale CBDCPI as target variables. The data used in the process are gathered from various official sources such as the Bank for International Settlements (BIS), the International Monetary Fund (IMF), and the World Bank. The Circulation of Cash, Prevalence of Cryptocurrencies, Effect of CBDC on International Trade, the Search Interest, Financial Development Index, Innovation Value, and Trade Openness are some of the most critical factors determining whether CBDC will be issued in Malaysia. Generally, are identified as important factors determining whether CBDC will be issued in Malaysia. Eventually, the factors identified will be used to develop a framework for the implementation of CBDC in Malaysia