This paper presents various imputation methods for air quality data specifically in Kertas ini membincangkan pelbagai kaedah imputasi bagi rawatan data lenyap untuk data kualiti udara khususnya di Malaysia. Objektif utama kajian ini ialah memilih rawatan data lenyap yang terbaik dan juga perbandingan sama ada wujud perbezaan antara kaedah yang digunakan antara stesen di Semenanjung Malaysia. Pelbagai kes data lenyap telah dijana secara rawak iaitu dengan 5, 10, 15, 20, 25 dan 30% data lenyap. Enam kaedah rawatan data lenyap telah digunakan dalam kajian ini iaitu teknik berasaskan min, median, jangkaan pemaksimuman (EM), dekomposisi nilai tunggal (SVD), K-jiran terdekat (KNN) dan K-jujukan jiran terdekat (SKNN). Pemilihan teknik imputasi terbaik adalah berdasarkan kepada penunjuk prestasi yang menggunakan nilai pekali korelasi (R), indeks persetujuan (d) dan min ralat mutlak (MAE

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The industrial training program is part of the academic curriculum at the tertiary level. It plays an important role in providing students with the exposure to a real working environment in the industry. Through this program, the higher education institutions (HEI) could identify the gaps in the curriculum based on the requirements from the industry. In addition, the feedback from the industry will help the HEI to equip students with relevant skills according to the demands from the industry. Indirectly, it can help to address the issue of unemployed graduates of which the number seems to increase from time to time. Therefore, this study aims to obtain the feedback from the employers out there in order to determine the most preferred criteria in selecting students for the industrial training placement by using Quality Function Deployment (QFD) approach. The findings, through the development of house of quality based on the QFD approach, show that communication skills and students' participation in sports and cocurricular activities at their university are the most preferred selection criteria. Therefore, the QFD approach can be used to translate the employers' feedback in improving the marketability of the students in the industry.

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