A study of abortion in Malaysia from the perspective of pebal code / Farah Yasmin Salleh ... [et al.]

This research primary purpose is to examine the current law of abortion in Malaysia from the Penal Code perspective. This research will emphasize on the current position of section 312 of the Penal Code, mostly on how the law operates in regulating the matters in Malaysia and taking into consideration of an exception that gives abortion their legal status. This research will take into account the opinion and insight of people who are professional and directly dedicated to area of study. These people are knowledgeable and fully aware of the laws and the issue of abortion. The findings of this research would principally to propose and recommend to the current law to fill any ambiguity in law of abortion. This research is fully conducted through library research and interviews. From this research the significant result would lead to make available to recommendation and constructive data of abortion mainly from legal perspective. This would give valuable foundation and groundwork for further research on abortion

Application of Mahalanobis-Taguchi System in Rainfall Trends at UMP Gambang Campus

Rainfall is a variable meteorological phenomenon that exhibits spatial variability across different locations. Weather stations collect a wide range of parameters to monitor and analyze rainfall patterns. However, not all parameters are equally significant or efficient in performing classification and optimization tasks. In this study, we propose the use of the Mahalanobis-Taguchi system (MTS) method to classify rainfall occurrences by RT-Method and optimize the parameter selection process by T-Method. The data were collected by weather station Vantage Pro2 in UMP Gambang. By applying RT- Method, we can classify the data sample in term of MD for November, May and April while reducing the number of parameters to only those that significantly contribute to the classification, which from 16 parameters to 8 parameters using T-Method. This approach provides a streamlined and efficient methodology for analyzing rainfall patterns and optimizing weather station data collection processes