Pandemik COVID-19-19-19 yang merupakan satu krisis melanda dunia pada tahun 2020, telah menyebabkan gangguan pengoperasian organisasi di seluruh dunia. Operasi organisasi telah terhenti dan cabaran terbesar bagi organisasi yang terlibat adalah untuk kembali beroperasi seperti sebelum pandemik. Daya-Tahan Organisasi (Organisational Resilience) dalam sesebuah organisasi menentukan keupayaan sesebuah organisasi sebelum, semasa dan selepas menghadapi sesuatu krisis atau gangguan. Keboleh-lonjakan-kembali (bounce-back) sesebuah organisasi untuk beroperasi semula adalah satu cabaran yang perlu dihadapi organisasi dalam mengembalikan pengoperasian seperti sebelum krisis atau gangguan berlaku. Perbincangan kertas kerja ini akan tertumpu kepada ciri-ciri Daya-Tahan Organisasi dalam mengekalkan kelestarian organisasi. Daya-Tahan Organisasi harus mempunyai keupayaan untuk menghadapi risiko, tekanan potensi, kemampuan mengawal dan bertindakbalas ancaman sekitarnya untuk bangkit semula selepas sesuatu gangguan dan juga, jika diperlukan, berkebolehan untuk mengadaptasi setiap perubahan persekitaran.

Graduate marketability has become a critical issue as many graduates have problem in getting employed after completing their study in the university. This is mainly due to their inability to showcase their achievements and market their skills properly to prospective employers. This study firstly identifies the user requirements from all identified stakeholders, and secondly, based on these findings, develops a portal prototype that incorporates the integrated features called the Integrated Graduate Portal (IGP). Finally, the study evaluates the use of the IGP in facilitating graduate marketability. The aims of this portal are to facilitate graduate marketability by showcasing graduates’ contents and skills using electronic portfolio (e-portfolio), to employers, and to reduce the communication gap between the employers, graduates and their university. Two phases of survey were conducted for this study. The first one was conducted to identify and gather the user requirements from all identified stakeholders (graduates, employers, lecturers and administrator). These requirements were analyzed and carefully selected prior to incorporating them during the development of the portal. Once the IGP prototype was developed, the second survey was conducted to evaluate the use of IGP to facilitate graduate marketability. The evaluation results showed that the IGP may help to facilitate graduate marketability. It was found that integration features such as graduates’ e-portfolios, employers’ job requirements information, verification of graduates’ content by lecturers, and collaboration of graduates, employers and university in the IGP, are features that may aid graduates to facilitate their marketability. In conclusion, it is hoped that the use of the IGP may help the graduates to facilitate their marketability and bridge the communication gap between the graduates, employers, lecturers and university, therefore improving the interaction and collaboration between all stakeholders. Index terms- Electronic portfolio (e-portfolio), graduate marketability, Integrated Graduate Portal (IGP).

Technological progress has made falsification of documents increasingly sophisticated and the need for forensic experts or Ra'yu al-Khabir indispensable in the Syariah Courts. This paper discusses the concept and methods of forensic document authentication by experts according to the Islamic law (fiqh). This study combined quantitative and qualitative approaches whereby 181 key informants comprising randomly sampled syariah and civil law experts and practitioners underwent in-depth interviews . Content analysis of the study revealed that respondent knowledge of document authentication methods according to the Islamic law was at the intermediate level with the mean = 3.59 and sd = 0.63 which was not enough to help the Syariah Courts cope with the rapid increase in the falsification rate of documents. This situation needs urgent redress and calls for the establishment of a comprehensive forensic model to provide adequate guidelines for judges and practitioners of the Syariah Courts

This research paper presents a framework on how to build up malware dataset. Many researchers took longer time to clean the dataset from any noise or to transform the dataset into a format that can be used straight away for testing. Therefore, this research is proposing a framework to help researchers to speed up the malware dataset cleaning processes which later can be used for testing. It is believed, an efficient malware dataset cleaning processes, can improved the quality of the data, thus help to improve the accuracy and the efficiency of the subsequent analysis. Apart from that, an in-depth understanding of the malware taxonomy is also important prior and during the dataset cleaning processes. A new Trojan classification has been proposed to complement this framework. This experiment has been conducted in a controlled lab environment and using the dataset from Vx Heavens dataset. This framework is built based on the integration of static and dynamic analyses, incident response method and knowledge database discovery (KDD) processes. This framework can be used as the basis guideline for malware researchers in building malware dataset.

For the past few years, malware or also known as malicious code is seen as one of the biggest threats of the cyber attacks. It has caused lot of damages, loss of money and productivity to many organizations and end users. Malicious code can be divided into many categories such as viruses, worms and trojan horses. Each of these categories has it owns implications and threats, and trojan horse has been chosen as the domain of this research paper. Prior to the formation of a new trojan horse detection model, an in-depth study and investigation of the existing trojan horse classification is presented in this paper. Surprisingly, not much research related with trojan horse has been done. On 16th January 2013, Troj/Invo- Zip has caused chaos by masquerading as an invoice from Europcar and spreading via email. Therefore, in this research paper, a new trojan horse classification called Efficient Trojan Horse Classification (ETC) is developed. This ETC later is used as a basis to build a model to detect trojan horse efficiently. The methods used to develop the ETC are the static and dynamic analyses. As for the dynamic analysis, cuckoo sandbox has been integrated to speed up the analysis and reverse engineering processes.

Pelbagai cabaran perlu dihadapi oleh sesebuah organisasi dan negara dalam usaha memartabatkan Sains Islam di persada antarabangsa. Persada antarabangsa bermaksud pengetahuan Sains Islam sebagai rujukan, dikenali, digunapakai dan dikormersilkan. Sains Islam memberikan penekanan terhadap penyatuan antara sains dan agama, hal ini ditegaskan berasaskan kepada konsep kesatuan ilmu Islam menurut paradigma tauhid. Sains Islam secara realitinya perlu diberikan penekanan yang lebih mendalam agar dapat meningkatkan kefahaman seseorang sarjana tentang asas dan pendekatan sesuatu disiplin pengajian. Salah satu cabaran adalah dalam menyampaikan maklumat penting dan kritikal kepada kumpulan sasar (seperti pemerintah, penyelidik, pemilik perniagaan serta pengguna). Penyampaian maklumat yang mudah serta tepat adalah sangat penting dalam memahami pengetahuan Sains Islam. Penggunaan teknologi terkini termasuk media sosial boleh diaplikasikan dalam mencapai maksud tersebut agar penyebaran maklumat lebih berkesan dan tepai kepada kumpulan sasar. Media sosial adalah medium platform yang baik untuk menyampaikan maklumat dan bersosial secara virtual sekali gus mengeratkan lagi hubungan sesama manusia, akan tetapi ianya perlu digunakan dengan baik dan ditadbir urus dengan bijaksana. Kertaskerja ini membincangkan bagaimana media sosial dapat diaplikasikan sebagai satu medium dalam menyampaikan maklumat kepada kumpulan sasar, dalam usaha meneraju Sains Islam di persada antarabangsa.

Dunia telah dikejutkan dengan serangan Corona Virus Disease 19 (COVID-19) sejak akhir tahun 2019. Sehingga kini dunia masih bergelut dengan kes-kes baharu COVID-19 dengan jumlah kes telah mencapai sekitar 23.1 juta kes. Sehingga 23 Ogos 2020, jumlah kes positif COVID-19 di Malaysia adalah sebanyak 9,267 kes dan penambahan kes-kes baharu positif COVID-19 membimbangkan semua rakyat Malaysia. Dalam usaha mengawal pencegahan COVID-19, Kerajaan Malaysia telah melaksanakan beberapa fasa Perintah Kawalan Pergerakan (PKP), Perintah Kawalan Pergerakan Bersyarat (PKPB) dan Perintah Kawalan Pergerakan Pemulihan (PKPP). Dalam menghadapi suasana pandemik COVID-19 yang menular dengan begitu cepat, ditambah dengan pelaksanaan PKP-PKPB-PKPP yang pertama kali dilaksanakan di Malaysia, masyarakat sentiasa mencari sumber untuk mendapatkan informasi terkini. Penggunaan teknologi seperti Internet, serta media termasuk media sosial dilihat sangat membantu dalam menyediakan informasi terkini. Kertas kerja ini akan membincangkan peningkatan penggunaan dan peranan media sosial semasa menghadapi pandemic seperti COVID-19.

Advancements in internet, cloud, and business intelligence technologies, as well as the emergence of big data, have caused massive traffic in online transaction processing (OLTP) systems. All these impose the needs for effective and efficient data storage and processing which is not available in conventional Relational Database Management Systems (RDBMSs). In the year 2000, a new generation of database management systems (DBMSs) called Not Only Structured Query Language (NoSQL) has emerged to address the scalability of OLTP workloads in a way that was impossible for conventional relational database management systems (RDBMSs). Despite adequately addressing issues linked to scalability and producing better read-write performance than RDBMS, NoSQL DBMSs appear to lack in providing definite assurance of data consistency. Hence, a newer DBMS alternative called NewSQL has emerged. NewSQL DBMS has combined the advantages of both conventional RDBMS and NoSQL. They have the scalable performance of NoSQL DBMSs and the data consistency of traditional RDBMS. To date, there are tens of existing NewSQL-DBMSs, so it is difficult to understand the difference between them, and it is also quite challenging to decide the best solution for a specific task. Hence, this paper presents a comprehensive review concerning NewSQL DBMSs by emphasizing the following purposes:(1) providing researchers and practitioners guidance that may assist in selecting the most appropriate NewSQL-DBMS, (2) classifying NewSQL-DBMSs based on internal implantation and number of tiers, (3) providing comparisons and analyses of query capabilities, technical characteristics, and security attributes of the prominent NewSQL-DBMSs, and finally, (4) identifying issues and challenges raised with the emergence of NewSQL-DBMSs. In conclusion, NewSQL DBMSs can offers solutions for fault tolerance, horizontal scalability features.