Air pollution has become an issue at all rates in the world. In Malaysia, there is a system is known as air quality index (API) used to indicate the overall air quality in the country where the air pollutants include or the new ambient air quality standard are sulphur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3) and particulate matter with size less than 10 (PM10). The concentration levels of the air pollutants were said to be affected by the monsoon changes. Therefore, this study is conducted to examine the existence of temporal variations of each air pollutant then identify the differences of each air pollutants concentration in temporal variations. This study uses secondary data where data that has been retrieved from the Department of Environment (DOE) where it is data of air pollution specifically for Kota Bharu, kelantan records. Hierarchical agglomerative cluster analysis was conducted to group monthly air quality. As a conclusion, the study can conclude that the five air pollutants grouped into several different monthly clusters mostly representing the two main monsoon seasons. Mostly air pollutant varied accordingly towards the monsoon season. During the southwestern monsoon, air pollutant concentration tends to higher compare to the northeastern monsoon with mostly due to meteorological factors.

Market Basket Analysis (MBA) system is a widely used technique among marketers, especially for undirected data mining analysis. MBA is also known as product association analysis and the outcome of this analysis is called association rules. The outcome can be used to schedule marketing or advertising strategies and design catalogs for different shop layouts. Discovering the pattern from the customer's buying habits in the shopping stores was collected in their buying transaction. This study aims to compare the item purchased by the respondents between Store A and Store B and to find out the most potential products that customers have bought along with a specific category of products. Convenience non-probability sampling was involved with structured questionnaires of items in store was collected to analyze data. Association analysis was used by analyzing the result from support, confidence, and lift. The findings showed that there are 13 interesting rules of association revealed in this study. Moreover, the result also found that most products that were purchased together are tissues, condiments, instant food, cooking oil, meat, biscuits, dry goods, beverages, and cleaning products.

Bidang keusahawanan mewujudkan lebih banyak peluang pekerjaan bagi mereka yang bergelut dalam pencarian pekerjaan dan membantu menjana pendapatan tambahan kepada mereka yang mengalami gaji minimum yang rendah di Malaysia. Kajian ini mengenal pasti kesan sumber pembiayaan, model teladan dan pendidikan keusahawanan terhadap hasrat keusahawanan di kalangan pelajar Universiti Teknologi MARA (UiTM) Kampus Kota Bharu. Kajian ini juga mengenal pasti perbezaan purata yang signifikan dalam hasrat keusahawanan di kalangan pelajar berlainan jantina dan status penglibatan keluarga dalam perniagaan. Soal selidik diedarkan kepada 293 responden bagi tujuan pengumpulan data. Keputusan analisa regresi linear menunjukkan hanya terdapat dua pemboleh ubah mempengaruhi niat keusahawanan secara signifikan di kalangan pelajar iaitu model teladan dan pendidikan keusahawanan. Hasil kajian juga mendapati tidak terdapat perbezaan purata yang signifikan dalam hasrat keusahawanan di kalangan pelajar jantina berbeza tetapi terdapat perbezaan yang signifikan di kalangan penglibatan keluarga dalam perniagaan. Kajian ini diharap dapat memberikan gambaran kepada pihak pengurusan dan pembuat dasar untuk meningkatkan hasrat kusahawanan dikalangan pelajar bagi menangani masalah kebolehpasaran graduan.