Nursyahani Nasron’s research while affiliated with MARA University of Technology and other places

Religious life that is also known as piety, is the highest level of a Muslim. It could be achieved through the practicing and appreciating of high religion based on true understanding. However, in recent years, there have been many criminal cases and social problems reported happening among young people and religious people, especially in Kelantan. This study was conducted with the aim to perceive the relationship between the appreciation of Islamic studies among the youth of Kelantan and the occurrence of social problems by using geospatial analysis. On the other hand, it was known that the basis of learning and mastery of the Islamic religion begins with studying the Quran. The important is it could serve as a guide for every Muslim. However, the level of appreciation can also be influenced by the physical environment. This study involved 250 random respondents covering all districts in Kelantan. A set of questionnaires have been prepared and distributed to the youths through social media such as WhatsApp and Telegram. For the crime cases analysis, the studies used police report data for the purpose of detecting hotspots of crime in the study area. Results of the study show a positive relationship between the appreciation of Islamic studies and social problems among youth in Kelantan and the distribution of incidents was shown in terms of spatial interpolation using Inverse Distance Weightage (IDW).

Crop yield can determine the health of a tree based on the nutrient content applied by the farmers. Soil nutrients are essential for plant production. This research aims to study the relationship between the yields of Harumanis mango and the nutrient content in soil and leaves. Three (3) primary objectives are highlighted, namely: (1) to study the distribution of nutrients content in the soil; (2) to determine the relationship between the yields of Harumanis mango and nutrient content in soil and leaves; and (3) to identify the significant factors affecting the yields of Harumanis mango. The study area is in the UiTM Perlis branch. Overall, 25 samples have been collected with information on the coordinate position, crop yield and nutrient content; nitrogen (N), phosphorus (P), potassium (K) and calcium (Ca). The Kriging method interpolated the distribution of nutrient content in the soil. Pearson correlation and multiple linear regression analysis were used to study the relationship between yield and nutrient content in soil and leaves to determine which nutrients influenced the yield of Harumanis mango. The result shows only K and Ca in the leaves significantly contribute to the yield of Harumanis mango. The multiple linear regression model for the predicted yield of Harumanis mango is 347.974 – 51.426 (N% in leaves) – 550.225 (K% in leaves) + 86.672 (Ca% in leaves).