Pusat Pengajian Ilmu Kemanusiaan - Tesis
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- PublicationPengetahuan Komuniti Dalam Peningkatan Kedayatahanan Menghadapi Banjir Di Alor Setar, Kedah(2016-02)Zainal Abidin, Izza ShafiniCommunity 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.
- PublicationPenilaian Semula Nilai Indeks Hakisan Hujan (R) Dalam Model Usle Dengan Menggunakan Sistem Maklumat Geografi(2015-02)Omar, Mohamad NazuhanSoil 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.
- PublicationMemory And Post-Memory: The Construction Of home And The Trope Of return In Asian-Australian Life-Writings(2024-01)Hasnan, Siti Noor AisyahThe literatures of migration or diaspora and/or transnationalism portray memory-migration nexus, particularly pertaining to identity and cross-cultural experiences. However, even though Asian-Australian literature is not a relatively new field of study, there is still a paucity of literature discussing the representations of Asian-Australians in literary writings, compared to other writings on migration, Apart from that, it is believed that writings on memory, whether fiction or non-fiction are sparked by the memory of the Holocaust, hence, studies on Holocaust writings are more immense compared to other writings of such atrocity. In the context of Asian-Australian life-writings specifically, the study (exclusive is still limited, especially so with regard to second-generations.
- PublicationOptimal Site Selection For Solar Farms Using Gis-Based Fuzzy Multi-Criteria Evaluation (Mce) And Nasa Power Data In The Georgetown Conurbation(2024-01)Bandira, Puteri Nur AtiqahThe global population is experiencing the effects of climate change, such as an increased risk of climate disaster risks and extreme weather events. Around 46% of global CO2 emissions come from the energy industry. Thus, forcing the sector to opt for renewable energy to reduce emissions. Identifying optimal solar farm locations is vital in achieving the Sustainable Development Goal (SGD) No. 7 targets, addressing energy security, energy accessibility, and energy affordability. However, as solar energy is highly dependent on a location’s climate conditions, the analysis would require a large amount of climate data, which is usually a limitation for developing countries such as Malaysia. The NASA Prediction of Worldwide Energy Resources (POWER) provides the required climate data, but before using it in site selection analysis, its ability to estimate local-scale climate data must be assessed. This study uses the GIS-based fuzzy multi-criteria evaluation (MCE) model and NASA POWER data to identify the best solar farm sites in Georgetown Conurbation, Northern Peninsular Malaysia.
- PublicationNafkah Tertunggak: Pelaksanaan Dan Penguatkuasaan Undang-Undang Di Mahkamah Syariah Di Malaysia(2024-01)Ismail, Mohd HazwanObjektif daripada kajian ini adalah menyelidik penguatkuasaan berdasarkan syariat Islam, kemudian proses undang-undang oleh pihak Bahagian Sokongan Keluarga (BSK) bermula daripada mediasi terlebih dahulu bagi menyiasat kemampuan terhadap penghutang, penguatkuasaan untuk dilaksanakan berdasarkan peruntukan undang-undang di Malaysia dan seterusnya cadangan menambahbaik kelemahan dalam pelaksanaan dan penguatkuasaan undang-undang.