6,179 research outputs found
Kehidupan / Nur Azimah Idris
No full textKerap kali manusia diuji,
Kesilapan terjadi kerana kekurangan,
Ego diri harus diakui,
Supaya sedar atas kekhilafan.
Tingkah laku insan punya perbezaan,
Tentu tiada yang sempurna dirinya,
Andai di hati ada kesangsian,
Usahlah disimpulkan tanpa bertanya.
Hidup ini penuh ujian,
Adakalanya suka adakalanya duka,
Tetapkan hati di jalan Tuhan,
Agar diri tidak terleka.
Taati Yang Esa tanpa batasan,
Bergantunglah padaNya setiap saat,
Utamakan hubungan dengan Tuhan,
Mudahan hidup dalam rahmat
Thank you / Nur Azimah Idris
No full textThat night, fifteen years ago,
Through one phone call, we received the news,
The eldest’s weeping broke my heart and soul,
It dawned on me that you will never come back,
To Allah you return, with heavy heart we accept
Tanah airku / Nur Azimah Idris
No full textMari mengenang kembali,
Episod perjuangan nenek moyang kita,
Rela berkorban keringat, harta dan nyawa,
Demi kebebasan hakiki dari belenggu penjajah,
Erti cekal dan usaha tanpa lelah,
Kerjasama yang utuh terjalin kesepakatan,
Akhirnya Tanah Melayu merdeka dengan penuh
kesyukuran
Misi topi bulat: perjuangan penuh liku / Nur Azimah Osman
No full textNiat untuk mengenggam ijazah PhD tidak pernah ada semenjak di bangku sekolah. Mungkin pada ketika itu belum jelas apa itu PhD, yang terlintas hanyalah nak belajar pandai-pandai sampai masuk universiti. Namun setelah direzekikan oleh yang Maha Esa untuk menjadi tenaga pengajar di UiTM tidak dapat tidak PhD ibarat ‘bila nak sambung ni’ memanggil-manggil di benak fikiran. Setelah melalui perjalanan yang panjang dan beberapa kegagalan dalam proses permohonan untuk melanjutkan pengajian di peringkat PhD, alhamdulillah berkat doa seorang ibu dan izin dari Nya rezeki PhD tiba jua pada 2019. Berbekalkan semangat juang yang turun naik sementelah banyak dugaan dan cabaran semasa permohonan tajaan biasiswa SLAB dari KPT diawalnya, namun segalanya dipermudahkan di akhir penantian. Tanggal 1 Oktober 2019 menjadi kenangan peribadi melangkah kaki dengan sejuta harapan ke Universiti Kebangsaan Malaysia sebagai seorang pelajar PhD dalam bidang genetik Fakulti Sains dan Teknologi (FST) di bawah seliaan Prof Dr. Badrul Munir Md Zain
Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
No full textFace recognition involves the comparison of a given face with other faces in a database. A fully automated face recognition system would consist of several subsystems including face detection, normalization and authentication. Features of the face to be normalized include the size, orientation and the illumination. Facial feature detection must first be performed before any of the face recognition methods can be applied. A good face detection system would take care of most of these processes. There exist various frameworks and algorithms for a face recognition system. However, most of these frameworks are only reliable when the face is captured under controlled environment. The face recognition method is very much affected by noise or occlusion, which can be seen as grain in film and pixel variations if in digital images and their presence caused varying intensity in the image pixels instead of true pixel values. For most face recognition algorithms, partial occlusions affect the performance of the algorithm. This research addressed severe contamination or occlusion presence in a face recognition based on image data. A modified version of the existing least trimmed square, LTS method with genetic algorithm (LTS with GAs) was proposed to cater the problem of noise or occlusion and improve the performance of face recognition. In the proposed algorithm, the contaminated observations are distinguished in C-steps as every observation will be assigned a weight based on a cutoff value which will give a zero weight for any observations with residual error greater than the cutoff value and a weight "one" (1) otherwise. A robust standard error was used in this research for a more precise cutoff value in determining outliers. Benchmark datasets, namely the AT&T and Yale which contain occluded query images were used to examine the performance of the proposed method. The query images were contaminated with salt and pepper noise and the recognition rates was measured when the contaminated images were used as a query image in the context of linear regression. The best method was the one being least affected by the occluded images and produces highest recognition rates. The proposed approach performs almost as good as the FAST-LTS method with highest recognition rate as compared to other methods for Yale dataset. A simulation study was also done to further assess the performance of the modified approach alongside with several LTS based methods for large data sets which were contaminated with different levels of noise. The genetic algorithm configuration for n (number of observations) and p (parameter) was changed to assess the performance of modified method. The proposed method does not lose its robustness property, and its estimates are still unbiased and have a minimum variance in this configuration. It can be concluded that the modified algorithm decreases the biases, the variances and the mean squared errors of the LTS estimators. This research contributes to method in face recognition, which can be used in broad fields such as video and image processing, human-computer interaction, criminal identification, homeland security and numerous consumer applications
TiO2 – ZnO nano composite films in solar driven water splitting performance / Nur Azimah Abd Samad
No full textSolar driven water splitting system is a key target for the development of sustainable hydrogen economy for future energy system. The formation of self-organized zinc oxide (ZnO) nanostructures is essential for high efficiency in photoelectrochemical (PEC) solar driven water splitting system. Comprehensive investigations on different parameters, such as heat treatment, stirring process, reaction temperature, exposure time, and applied potential were conducted in order to control the specific architecture of ZnO nanostructures. Based on the results obtained, ZnO nanorod; diameter in a range of 35.0 – 65.0 nm and length in a range of 210.0 – 280.0 nm were successfully formed via electrodeposition technique in an electrolyte containing 0.05 mM ZnCl2 and 0.1 M KCl at 1.0 V for 60 min. Continuous efforts have been exerted to further improve the PEC water splitting performance by incorporating an optimum content of TiO2 nanoparticles on ZnO nanorod film via dip-coating technique. The modification of ZnO nanorod was to overcome several drawbacks, including poor visible light absorption and high recombination losses of charge carrier. It was found that 0.25 at% of TiO2 nanoparticles coated on ZnO nanorod film and subsequently heat treated at 400 °C demonstrated a maximum photocurrent density of 19.78 mA/cm2 (1.66 % photoconversion efficiency) under UV ray (300 nm) and 14.75 mA/cm2 (2.18 % photoconversion efficiency) under visible light (500 nm). This performance was approximately 2-3 times higher than the ZnO nanorod film. The presence of Ti element in hybrid TiO2-ZnO film (below 1 at% Ti) showed an improvement of photocurrent density and photoconversion efficiency because it acted as an effective mediator to trap the photo-induced electrons and minimize the recombination of charge carriers. It is a well-known fact that phenomenon of charge carriers-separation effect at type-II band alignment of Zn and Ti might further enhanced the transportation for photo-induced charge carriers during illumination. Contra in results appeared with the redundant of TiO2 nanoparticles coated on ZnO nanorod wall surface. PEC water splitting performance became poor because TiO2 nanoparticles formed independent layers and electrons in TiO2 were trapped by the excess amount of oxygen and could not be transferred to ZnO
Glucose and breast cancer 1 (BRCA1) biosensor based on zinc oxide nanostructures / Nur Azimah Mansor
No full textNanostructure metal-oxides have been extensively explored in the development of biosensors. This work reports a sensitive electroanalytical sensing nanomaterial for the development of a glucose biosensor based on ZnO nanoparticles deposited on Silicon wafer, (ZnO/Si), also a new electrochemical DNA biosensor was fabricated using Zinc Oxide Nanowires on gold electrode (ZnONWs/Au). First of all, the crystalline form of the nano-ZnO film was obtained by sputtering technique. Glucose oxidase (GOx) was immobilized on the surface of ZnO/Si and was then covered with nafion film. The nafion acted as GOx surface binder which resulted in higher sensitivity. The Nafion/GOx/ZnO/Si modified electrode operates in phosphate buffer solution (pH 7.4). The morphologies and electrochemical behavior of the Nafion/GOx/ZnO/Si modified electrode film were investigated using field emission scanning electron microscopy (FESEM) and electrochemical techniques including chronoamperometry and cyclic voltammetry respectively. Results show that the biosensor give a linear response to glucose in the concentration range from 0.05 to 0.70 mM (R²=0.997). The apparent Michaelis-Menten constant, KM is calculated to be 3. 4 mM. The response time of 0.9 s, detection limit of 1.50 + 0.50 (μM and sensitivity of 18.6 + 2.66 |iAcm⁻²/| μM (n=3) were observed making ZnO nanofilm as a promising material in biosensor application.The nanomaterial inclusions in electrochemical biosensors based-DNA offer important applications in clinical diagnostics and treatment of viral and immune diseases. In this research, the zinc oxide (ZnO) nanowires were synthesized and applied in the development of electrochemical DNA biosensor for detection of the breast cancer genes (BRCA1). The synthetic single stranded oligonucleotide (ssDNA) was immobilized onto gold electrode that has been grown with zinc oxide nanowires beforehand. Then, the probes were hybridized with different concentration of complementary nucleic acid sequences and mismatch ssDNA in the samples. Under the optimal conditions stated in this report, the specific BRCA1 ssDNA sequences could be detected by differential pulse voltammetric responses on double stranded oligonucleotide (dsDNA) molecules. The linear concentration range was achieved from 10.0 to 100.0 μM with the detection limit of 3.32 μM. This electrochemical DNA sensor exhibited excellent selectivity. The polymerase chain reaction (PCR) product of BRCA1 gene that extracted from MCF-7 breast cancer cells was successfully detected, which indicated that this electrochemical DNA sensor could be further used for the detection of specific ssDNA sequence in real biological samples
The impact of facebook content towards student behaviour in UiTM Campus Rembau / Nur Azimah Ahmad Bahtir
No full textFacebook is one of the social media that have been use by people around the world as one of the easy way of communication. There are many students still use this social media. Facebook content allows them to do many things. However, the Facebook content give a lot of beneficial and also damaging to student that could impact on their behaviour.
The goal of this study is to determine the impact of Facebook content towards student behavior. In order to gain the result, I had distributed the questionnaires to 30 respondents in UiTM Campus Rembau and then did the analysis upon the data collected. I hope this research motivate others to do further research on the same subject that involving student behaviour
Efektivitas Teknik Psikodrama dalam Layanan Bimbingan Kelompok untuk meningkatkan Konsep Diri Positif Siswa Obesitas di Sekolah Menengah Atas Negeri 1 Tasik Putripuyu Kabupaten Kepulauan Meranti
No full textABSTRAK
Siti Nur Azimah, (2020): Efektivitas Teknik Psikodrama dalam Layanan Bimbingan Kelompok untuk meningkatkan Konsep Diri Positif Siswa Obesitas di Sekolah Menengah Atas Negeri 1 Tasik Putripuyu Kabupaten Kepulauan Meranti
Tujuan penelitian ini adalah untuk mengetahui konsep diri positif siswa obesitas sebelum dan sesudah diberi teknik Psikodrama dalam layanan bimbingan kelompok. Jenis Penelitian ini adalah penelitian eksperimen the one group pretest dan posttest design. Populasi Penelitian ini sebanyak 284 siswa Sekolah Menengah Atas Negeri 1 Tasik Putripuyu namun penelitian ini dilakukan secara sampel kepada 10 siswa obesitas yang memiliki konsep diri positif rendah melalui teknik purposive sampling. Teknik pengumpulan data digunakan dengan observasi, angket dan dokumentasi. Adapun untuk analisis data, peneliti menggunakan Uji Wilcoxon’s. Hasil penelitian ini menunjukkan bahwa konsep diri positif siswa obesitas sebelum diberikan teknik Psikodrama dalam Layanan bimbingan Kelompok berada dikategori rendah dengan rata-rata skor 80,4 dan setelah diberikan Teknik Psikodrama dalam Layanan bimbingan kelompok untuk meningkatkan konsep diri positif siswa obesitas mengalami peningkatan menjadi kategori tinggi dengan rata-rata skor 100,3. maka dapat dikatakan adanya perbedaan pretest dan posttest. Jadi dapat disimpulkan teknik Psikodrama dalam Layanan bimbingan kelompok untuk meningkatkan konsep diri positif siswa obesitas yang dilihat dari hasil uji wilcoxon menunjukkan Z tabel <Z hitung, 0.005<0.05 yang berarti bahwa teknik Psikodrama dalam layanan bimbingan kelompok efektif untuk meningkatkan konsep diri positif siswa di Sekolah Menengah Atas Negeri 1 Tasik Putripuyu Kabupaten Kepulauan Meranti.
Kata Kunci: Efektivitas, Teknik Psikodrama, Layanan Bimbingan Kelompok, Konsep Diri Positif, Obesita
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