http://unisep.lib.unishams.edu.my/xmlui/handle/123456789/7845 Wed, 22 Apr 2026 22:11:10 GMT 2026-04-22T22:11:10Z http://localhost:80/xmlui/bitstream/id/e0b33f94-bd5d-4e85-8227-04c384ac1678/ http://unisep.lib.unishams.edu.my/xmlui/handle/123456789/7845 http://unisep.lib.unishams.edu.my/xmlui/handle/123456789/28333 The Assessment of Relative Permittivity on Diesel Vapour in the Moisture Content of Terap Red Soil by Ground Penetrating Radar Mimi Diana Ghazali; Othman Zainon; Khairulnizam M.Idris; Siti Nor Ain Zainon; Mohd Nazri A Karim; Siti Aminah Anshah; NoorFatekah Abdul Talib In a common agriculture resource, soil contamination monitoring is a prominent area of study. Nowadays, it is crucial to provide a database for the interpretation of ground penetrating radar (GPR) field data in monitoring soil contamination, such as diesel scatter migration. This study aims to assess the association between permittivity properties and soil water content (θw) for diesel contamination in Terap Red soil, which is classified as lateritic soil. Terap Red soil is an agro potential soil and available in more than 40% of distribution areas in Northern Malaysia (Agro-based State). In this research, 800 MHz shielded antenna GPR was applied for 24 hour measurement in a concrete simulation field tank, which was filled with Terap Red soil (1.5 m x 2.6 m x 1.5 m) located at Universiti Teknologi MARA (UiTM) Perlis, Malaysia. Embedded moisture content probe was simultaneously measured to monitor the response of volumetric water content in the contaminated soil. The GPR data were pre-processed and filtered by Reflexw 7.5. The calibrated Agilent Technologies Automated Vector Analyser (VNA) was used to verify the independent relative permittivity value from GPR. As a result, the evaluation of velocities and reflection of GPR data were influenced by the presence of diesel and contaminated vapour. A positive and significant correlation was obtained between relative permittivity and moisture content in the diesel-contaminated soil. In addition, a positive and strong linear regression analysis was also found between relative permittivity and moisture content. This analysis included an accurate total difference of root mean square error (RMSE) difference, which amounted to 0.04, with calibrated dielectric permittivity. Sat, 02 May 2020 00:00:00 GMT http://unisep.lib.unishams.edu.my/xmlui/handle/123456789/28333 2020-05-02T00:00:00Z http://unisep.lib.unishams.edu.my/xmlui/handle/123456789/13218 Pemodelan Regresi Logistik Binari Bagi Masalah Rumah Tangga di Kalangan Pasangan Suami Isteri di Suatu Kawasan Bandar, Negeri Kedah Siti Nor Ain Binti Zainon; Zalila Binti Ali Model regresi logistik ialah satu model regresi yang mempunyai bentuk pembolehubah respon binari atau dikotomi. Model ini digunakan bagi mengkaji hubungan antara pembolehubah respon dan pembolehubah peramal. Suatu model regresi logistik diaplikasikan ke atas data responden daripada Majlis Agama Islam Kedah untuk mengkaji faktor-faktor yang mempengaruhi keputusan sebuah perkahwinan. Pembinaan model regresi logistik dimulakan dengan pemilihan pembolehubah tak bersandar yang penting menggunakan tujuh kaedah pemilihan. Diagnostik dijalankan untuk menguji kesesuaian dan keberkesanan model yang dibentuk dengan melakukan ujian penyuaian kebagusan model, menguji kewujudan multikekolinearan antara pembolehubah tak bersandar serta mengesan pengaruh titik-titik terpencil di dalam model regresi logistik. Model terbaik yang terbina digunakan untuk membuat tafsiran nisbah ods dan menentukan kebarangkalian responden untuk tak berdamai atau berdamai. Kajian telah mengenalpasti antara faktor yang mempengaruhi responden tak berdamai ialah pendapatan, tidak bekerja, bekerja sendiri, tempoh perkahwinan, masalah kasih sayang, halau, berkahwin tanpa restu dan bilangan kaunseling yang diterima. Wed, 01 Jan 2020 00:00:00 GMT http://unisep.lib.unishams.edu.my/xmlui/handle/123456789/13218 2020-01-01T00:00:00Z