Pusat Pengajian Ilmu Kemanusiaan - Tesis

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  • Publication
    Kata Kerja 'Memberi/memberikan' Dan 'Menghadiahi/menghadiahkan' Dalam Sintaksis Bahasa Melayu: Satu Analisis Teori Prinsip Dan Parameter200
    (2009-06)
    Sim, Eileen Siew Wah
    Kajian ini meneliti perlakuan sintaksis kata kerja memberi/memberikan dan menghadiahi/menghadiahkan dalam ayat penyata bahasa Melayu dan cuba memberikan penjelasan teoretis berlandaskan Teori Prinsip dan Parameter (1986, 1993, 1995).
  • Publication
    The Role Of National Museums Of China In Chinese History In The Post Mao Zedong Era, 1976-2011
    (2024-02)
    Zhang, Zhiyu
    This study aims to examine the role of the National Museum of China (henceforth CNM) in the development of China's historical process in the post-Mao era (1976-2011), when China's unprecedented Cultural Revolution took place in 1966, putting traditional Chinese culture with a history of more than 5,000 years in jeopardy.
  • Publication
    Al-Riwayah Bi Al-Ma‘Na : Kajian Terhadap Hadith-Hadith Taharah Dalam Karya Al-Sunan Al-Arba‘ah
    (2024-03)
    Md Mukhtar, Mohamad Azizi
    Kajian ini bermatlamat mengkaji tiga aspek utama iaitu konsep periwayatan hadith dan al-riwayah bi al-ma‘na, al-Sunan al-Arba‘ah dan metodologi penulisan hadith kitab al-Taharah dan menganalisis hadith-hadith taharah menurut perspektif al-riwayah bi al-ma‘na.
  • Publication
    Pengetahuan Komuniti Dalam Peningkatan Kedayatahanan Menghadapi Banjir Di Alor Setar, Kedah
    (2016-02)
    Zainal Abidin, Izza Shafini
    Community preparedness for disaster caused by climate change is a key agenda for achieving sustainable cities and communities. It is undeniable that communities should be prepared to face any risk and vulnerabilities posed by unexpected disasters. This study aims to explore the knowledge and skills of communities in reducing the risk of flood. Besides, this study also aims to look at the relationship between factors that influence the knowledge and skills of communities in flood risk reduction. Moreover, this study also aims to identify the potential and challenges of stakeholders including government agencies, representatives of community-based organisations (cbos) and representatives of non-governmental organisations (ngos) to improve the knowledge and skills of local communities in order to reduce the flood risk. This study used random sampling through the questionnaire survey involving 100 respondents and purposive sampling involving five representatives of stakeholders. The study found that the experience did influence community behaviour change and may potentially increase the adaptation to the future disaster.
  • Publication
    Penilaian Semula Nilai Indeks Hakisan Hujan (R) Dalam Model Usle Dengan Menggunakan Sistem Maklumat Geografi
    (2015-02)
    Omar, Mohamad Nazuhan
    Soil erosion is a serious problem and it needed to be addressed. There are various methods used to estimate soil erosion and among them is the universal soil loss equation (usle). An r factor refers to the soil erosion process influences by the rain. In the usle model, there are several calculating methods of r factor, such as the method proposed by roose (1975). This study was conducted to estimate the usle soil erosion using the values proposed by roose, to test the accuracy of the r factor variables of usle model specified by roose (1975) that is 0.5p and to reevaluate the compatibility of the r factor. This study was conducted in lembangan sungai pelarit hulu and lembangan sungai jarum by using the annual rainfall data from 2001 to 2007. The data was analyzed using a geographic information system (gis). Results from previous studies recorded the highest observation data with a record of 13,249.61 tons/year 2001 and the lowest observed data of 3,573.95 tons/year 2006. Roose calculation methods shows the highest difference of soil loss estimated by 377.77% and the differences closest to the observed data is 28.84%. Results of the arithmetic method 0.185p x 1.73 provides a better estimated of soil loss with the highest percentage differences of 101.77% and the percentage closest to the observed data is 0.91%. The new value of r factor of 0.185p is better than 0.5p because it gives a better estimation of soil loss and it is more suitable to be applied in the study basin and malaysia.