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Faktor jantina: efikasi kendiri kerjaya pelajar
No full textKertas kerja ini melaporkan kajian yang bertujuan untuk melihat tahap efikasi kendiri kerjaya
pelajar-pelajar sekolah menengah. Kajian ini juga cuba meninjau sama ada kedua-dua pembolehubah tersebut
dapat dikaitkan dengan pembolehubah seperti jantina. Sampel kajian terdiri daripada 1060 orang pelajar yang
dipilih dengan kaedah persampelan rawak bersistematik, mudah dan berkelompok di 106 buah sekolah
menengah kebangsaan harian biasa di negeri Terengganu. Kajian yang dijalankan secara tinjauan ini
menggunakan instrumen soal selidik. Soal selidik digunakan untuk memungut data mempunyai dua skala
kecil iaitu; (i) Maklumat dan biodata diri (ii) Skala efikasi kendiri kerjaya yang telah diuji dan didapati
mempunyai kesahan dan kebolehpercayaan yang tinggi, iaitu nilai alpha bagi efikasi kendiri kerjaya ialah
0.95. Data yang diperolehi dianalisis menggunakan analisis deskriptif iaitu peratusan, frekuensi, ujian-t, min
dan sisihan piawai bagi menjawab soalan kajian. Hasil kajian mendapati bahawa secara umumnya tahap
efikasi kendiri kerjaya pelajar berada pada tahap sederhana. Bagaimanapun efikasi kendiri kerjaya pelajar
didapati berbeza secara signifikan berdasarkan jantina. Kesimpulannya berdasarkan kertas kerja ini dapatlah
dirumuskan bahawa tahap efikasi kendiri kerjaya pelajar turut dipengaruhi oleh faktor jantina. Justeru itu,
sebarang aktiviti program bimbingan dan kaunseling kerjaya perlulah mengambil kira faktor pembolehubah
jantina
Topic: i- Tabayyun:semakan isu tular berkaitan falak kontemporari menerusi aplikasi telefon pintar
No full textSaban hari berita palsu berkaitan dengan isu-isu falak kontemporari semakin berleluasa dan
tersebar meluas di dalam dan luar negara. Hari ini kita kerap menerima pesanan ringkas dari aplikasi
seperti Whatsapp, Telegram, Facebook dan Email berkenaan isu-isu palsu falak yang tidak
berkesudahan. Bulan beredar mengelilingi kaabah, Marikh sebesar bulan, Sinar Kosmik memasuki Bumi
dan Bumi bergelap 15 hari merupakan antara contoh isu tular yang sering kali disebarkan. Jesteru itu,
satu aplikasi yang dinamakan i-Tabayyun: Semakan Isu Tular Berkaitan Falak Kontemporari Menerusi
Aplikasi Telefon Pintar telah dibina bertujuan mengenalpasti isu-isu falak atau astronomi yang tidak betul.
Aplikasi ini juga menyenaraikan konsep sebenar tabayyun berdasarkan al-quran dan pendekatan
tabayyun oleh Imam Syafi’i dalam pernerimaan khabar sebagai satu alternatif bagi menyelesaikan isuisu falak kontemporari
Branch and bound algorithm for finding the maximum clique problem
No full textWe present a branch and bound algorithm for the maximum clique problem in arbitrary graphs. The main part of the algorithm consists in the determination of upper bounds by graph colorings. Using a modification of a known graph coloring method called heuristic greedy we simultaneously derive lower and upper bounds for the clique number
Enhancement on dielectric properties of dried banana leaves with sand composites for dielectric resonator antenna
No full textDielectric resonator antenna (DRA) is a radio antenna mostly used at microwave frequencies and higher. Ceramic are the material that is usually used in DRA application. This paper introduced dried banana leaves and sand to replace the ceramic material. This DRA application demands for high level antenna performance. The existing materials for DRA is expensive and does not environmental friendly. To cope this problems, the analysis of dried banana leaves with sand composites is evaluated. Dried banana leaves are one of the agricultural residues in Malaysia. The leftover of the agricultural waste that is not being used could endangered the environment and human health. The performance of dried banana leaves and dried banana leaves with sand were studied in the range between 1-3 GHz suitable for dielectric resonator antenna application. Besides, dried banana leaves were mixed with Epoxy Der 331 and Polyamine Clear Hardener in order to analyse the dielectric properties measurement. Finely sand is added to the dried banana leaves to have increment of dielectric constant reading. The measurement results for both sample is obtained
Performances of machine learning algorithms for binary classification of network anomaly detection system
No full textThe rapid growth of technologies might endanger them to various network attacks due to the nature
of data which are frequently exchange their data through Internet and large-scale data that need to
be handle. Moreover, network anomaly detection using machine learning faced difficulty when
dealing the involvement of dataset where the number of labelled network dataset is very few in
public and this caused many researchers keep used the most commonly network dataset (KDDCup99)
which is not relevant to employ the machine learning (ML) algorithms for a classification. Several
issues regarding these available labelled network datasets are discussed in this paper. The aim of this
paper to build a network anomaly detection system using machine learning algorithms that are
efficient, effective and fast processing. The finding showed that AODE algorithm is performed well in
term of accuracy and processing time for binary classification towards UNSW-NB15 dataset
Integrated multi sensors and camera video sequence application for performance monitoring in archery
No full textThis paper explains the development of a comprehensive archery performance monitoring software which consisted of three camera views and five body sensors. The five body sensors evaluate biomechanical related variables of flexor and extensor muscle activity, heart rate, postural sway and bow movement during archery performance. The three camera views with the five body sensors are integrated into a single computer application which enables the user to view all the data in a single user interface. The five body sensors' data are displayed in a numerical and graphical form in real-time. The information transmitted by the body sensors are computed with an embedded algorithm that automatically transforms the summary of the athlete's biomechanical performance and displays in the application interface. This performance will be later compared to the pre-computed psycho-fitness performance from the prefilled data into the application. All the data; camera views, body sensors; performance-computations; are recorded for further analysis by a sports scientist. Our developed application serves as a powerful tool for assisting the coach and athletes to observe and identify any wrong technique employ during training which gives room for correction and re-evaluation to improve overall performance in the sport of archery
Enhancement of as-sputtered silver-tantalum oxide thin film coating on biomaterial stainless steel by surface thermal treatment
No full textStainless steel 316L (SS316L) is extensively used as surgical/clinical tools due to its low carbon
content and excellent mechanical characteristic. The fabrication of metal ceramic based on this
metallic biomaterial favor its bio functionality properties. However, instability phase of amorphous
thin film lead to degradation, corrosion and oxidation. Thus, thin film coating requires elevated
adhesion strength and higher surface hardness to meet clinical tools criteria. In this study, the SS316L
was deposited with micron thickness of Ag-TaO thin film by using magnetron sputtering. The
microstructure, elemental analysis and phase identification of Ag-TaO thin film were characterized by
using FESEM, EDX and XRD, respectively; whereas the micro scratch test and micro hardness test were
performed by using Micro Scratch Testing System and Vickers Micro Hardness Tester, respectively. It
was found that the coating thin film's adhesion and hardness strength were improved from 672 to
2749 mN and 142 to 158 Hv respectively. It was found that the as-deposited surface were treated at
500 degrees C of temperatures with 2 degrees C/min ramping rate enhance 4.1 times of the adhesion
strength value. Furthermore, FESEM characterization revealed coarsening structure of the thin film
coating which can provide high durability service
Modifying iEclat algorithm for infrequent patterns mining
No full textPattern ruining has been extensively studied in research due to its successful application in several data mining
scenarios. Association rules mining is a basic step to determine the correlation between data items based on frequency
of occurrence. In database, data items can be found as frequent pattern and infrequent pattern. Frequently occuring
pattern has been an interesting issue of research in marketing for the past 24 years. However, infrequent patterns could
be used as a subject of research as an alternative since it indicates the absence of frequent patterns. Infrequent pattern
mining is a variation of frequent pattern mining where it finds the uninteresting patterns which rarely occurs. Infrequent
pattern mining has been widely demonstrated its utility in web mining, bioinformatic, medical, genetic and other fields.
Eclat is one of the algorithm which applied in finding frequent patterns in a transaction database. In Eclat variants, iEclat
is the latest algorithm which has a good performance in mining frequent pattern. A few parts of this algorithm need a
modification to assure that it is suitable for mining infrequent pattern. This paper proposes an enhancement algorithm
based on iEclat algorithms for mining infrequent pattern
