Journal of Computing Research and Innovation

Journal Information
EISSN : 2600-8793
Published by: UiTM Press, Universiti Teknologi MARA (10.24191)
Total articles ≅ 140
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Mohd Fazril Izhar Mohd Idris, Khairu Azlan Abd Aziz, Muhammad Haiman Aminuddin
Journal of Computing Research and Innovation, Volume 7, pp 54-67; https://doi.org/10.24191/jcrinn.v7i1.267

Abstract:
Online distance learning is becoming more and more popular and more preferred among students. In order to develop efficient strategies and solutions for introducing online distance learning, higher education institutions should be aware of the needs and expectations of their students. In the current study, students from University of Technology MARA will investigate which factors that affect the execution of online distance learning for academic performance. Time management, learning environment, internet connection, and learning method are among the factors under consideration, as determined by a literature review. The information was gathered through an online survey of 331 students whose academic performance is affected by online distance learning. An expert system based on fuzzy logic has been developed to determine which factors have the greatest influence on students' academic performance in online distance learning. According to the results obtained using the MATLAB software, one of the most important factors influencing students' academic performance in online distance learning is time management. The findings of this study will help students to improve time management in order to improve students’ academic performance.
Hawa Mohd Ekhsan, Mohamad Daniel Muhamad Khairi, Jiwa Noris Hamid
Journal of Computing Research and Innovation, Volume 7, pp 139-146; https://doi.org/10.24191/jcrinn.v7i1.277

Abstract:
Sign language is the communication language used by people with disabilities, especially deaf and hearing-impaired people. The communication between normal and disabled people using sign language will help them carry out their daily activities. Unfortunately, normal people are not aware of the importance of sign language because they are not directly dealing with disabled persons. Besides, some normal people found that sign language is difficult to learn. This study focuses on developing a mobile application for sign language with augmented reality features. This application is targeted at normal people as a sign language learning tool, and augmented reality will make the learning process effective and exciting. The methodology for this study is the ADDIE model that consists of five phases, namely Analysis, Design, Development, Implementation, and Evaluation. This application will assist the users in learning sign language interactively and interestingly. The evaluation of the application was done by the expert in the related background and the normal people. The usability test result revealed that the sign language application is usable for normal people to know and learn the basic sign language. In conclusion, the sign language application is an interesting application for normal people to use and learn sign language.
Nur Syuhada Muhammat Pazil, Norwaziah Mahmud, Siti Hafawati Jamaluddin, Nur Aisyah Maslin
Journal of Computing Research and Innovation, Volume 7, pp 15-28; https://doi.org/10.24191/jcrinn.v7i1.262

Abstract:
Criminal activities have a huge detrimental impact on society and the country. Foreign workers are among the contributors to the crime rate in Malaysia. Crime rate will not decrease if the factors that influence foreign workers to commit crimes remain unclear and unexplored. Many factors are affecting the foreign workers to commit crime. This research aims to determine the ranking for the factors of committing crimes by foreign workers. The Fuzzy Technique for Order Preference with Similarity to Ideal Solution (TOPSIS) was applied to rank the factors. The alternative of this research is the factors of committing crimes by foreign workers, which are lack of facilities, poverty, wage discrimination, fraud by employment agents, alcohol and drug abuse, and poor education level. The criteria chosen are ex-criminal, desperate individual, legal immigrant and illegal immigrant. Three decision-makers which are police officers must assess the factors in this research using linguistic variables ranging from "very poor" to "very good". The alternatives that would be chosen have the shortest distance to Positive Ideal Solution (PIS) and the farthest distance to Negative Ideal Solution (NIS). Finally, this study demonstrates that the highest ranking for the factors of committing crime by foreign workers is wage discrimination with a closeness coefficient value of 0.5305. The minor contributing factor with a closeness coefficient value of 0.2744 comes from poverty. Many personnel may benefit from the findings of this study.This study provides information about the factors of committing crime most associated with foreign workers, allowing employers to be aware of the risk they come with. This requires them to be more responsive to their employees, such as monitoring employee movement to track their daily activities (e.g., installing security cameras the housing facilities). Besides, employers should fairly deal with their employees and keep the workforce motivated to avoid criminal cases. A future study might broaden the scope of the project by including various sorts of criteria and alternatives.
Nik Ruslawati Nik Mustapa, Nur Athikah Fatehah Rosli
Journal of Computing Research and Innovation, Volume 7, pp 67-78; https://doi.org/10.24191/jcrinn.v7i1.275

Abstract:
Today, Covid-19 has completely changed our way of life. The new generation has made people stay at home, instead of going on vacation. The users are not allowed in a close place, especially in a building or room. The library that used to be packed with people reading books, studying, and using the computer is now becoming empty. The room in the library has been limited only to a certain number of people to prevent any dangerous situation regarding the Covid-19 virus to spread. The room needs to be reserved beforehand for the user to use. This situation has become a problem for users as the user’s desired room may be occupied by other users. Thus, Reservation System using face recognition for the library was developed to overcome this situation. In this paper, the researcher will use the Haar Cascade Algorithm to scan the face and MySQL as a database to detect the room and time slot for a reservation. Phyton language and Visual Studio Code were used to develop the system. The limitation of this project is that the face registration took a long time for some users because of the lightning that makes it the system hard to recognize the face. The recommendations for future work are to use a high technology camera to scan the face and construct an admin page because the system does not have an admin page.
Zurina Kasim, Nur Liyana Muhamad Sukri
Journal of Computing Research and Innovation, Volume 7, pp 79-88; https://doi.org/10.24191/jcrinn.v7i1.270

Abstract:
Mathematics courses are widely applied in the overall sector because mathematics is not only about the calculation or formulation, but also help in solving problems using mathematical modelling. Students need to have a good understanding of the theory of mathematics in order to produce the best results. In the world of digitization, subjects in science, technology, engineering and mathematics have become Malaysia’s agenda in the preparation to compete globally. Empowering in these subjects enable the creation of innovators of the future, hence create job opportunities in the digitization world. However, the academic institutions have been facing a critical problem in potential growth of achieving the mission and vision in enhancing the students’ performance when it is related to the students’ interest. This study focuses on students’ perception toward mathematics learning among 60 undergraduate management mathematics major’s students at UiTM Perlis using fuzzy set conjoint analysis. The attribute in each dimension is ranked according to the highest similarities values. The finding showed that students were rated neutral toward the preparation before class (student’s attitude); strongly agree that the lecturers are knowledgeable and well prepared before class (lecturer’s role); and rated neutral on female students are more qualified mathematician and their passion toward mathematics but strongly agreed that mathematics is difficult to understand in short period of time (student’s perspective).
Oludare Adedire, Yahaya Sadiku, Olufemi. O Adedire, Kambai Collina, Afolabi. O Oladejo, G.K Sikiru
Journal of Computing Research and Innovation, Volume 7, pp 1-14; https://doi.org/10.24191/jcrinn.v7i1.258

Abstract:
In this research, two mathematical models are proposed for investigation of laboratory confirmed daily COVID-19 disease incidence and total active daily infectious COVID-19 cases using data obtained from Nigeria Centre for Disease Control.  Due  to the observed patterns in the raw data, Autoregressive  Integrated Moving Average(ARIMA) method  is used on the data which covered  a period of 521 days (27  February, 2020-  1st  August 2021).  While diagnostic check of ARIMA(11,1,0)  indicate Ljung-Box Q(18) statistics value of 12.544  with p-value  of 0.084,  diagnostic check of ARIMA(1, 1, 1)  indicate Ljung Box Q(18) statistics value of 22.420 with p-value of 0.130.  Furthermore, stationary R- squared values are 0.803 and 0.858 at 95% confidence bound for ARIMA (11, 1, 0) and ARIMA (1, 1, 1) respectively which are indicative of good models.  Results from ARIMA (11, 1, 0) forecast show a slightly moderate upward trend in confirmed  daily COVID-19 incidence in Nigeria and results from ARIMA(1, 1, 1) indicate significant upward trend in total active daily infectious COVID-19  cases in Nigerian population.  Therefore, the developed models can be adopted by presidential taskforce and other agencies in health sector regarding future vaccination towards prevention of the spread of COVID-19 disease in Nigeria provided that the present general prevailing conditions of disease spread remain fairly the same.
Mohd Nizam Osman, Mushahadah Maghribi, Nur Shazlena Sarif Puddin, Khairul Anwar Sedek, Nor Arzami Othman
Journal of Computing Research and Innovation, Volume 7, pp 89-98; https://doi.org/10.24191/jcrinn.v7i1.281

Abstract:
Arabic vocabulary is one of the important knowledge areas in learning Arabic language. In fact, that in the current world, almost 80% of Muslim are non-native speaker of Arabic language. Some people found that Arabic vocabulary is difficult and confusing to learn and subsequently failed to master the knowledge. Besides, most of the higher education in Malaysia has been introduce Arabic subject in their curriculum or plan of study. On the other hand, learners faced difficulties in learning Arabic vocabulary, especially the pronunciation due to limited hours of learning in the class and less attractive of teaching materials. The purpose of this study is to design and develop a web-based multimedia learning content management system (LCMS) to enhance the learning of Arabic vocabulary pronunciation. The proposed system was developed using Articulate Storyline for implementing interactive learning which all multimedia elements can be blended in the system. The development process follows the System Development Life Cycle (SDLC) as a methodology. Then, the proposed system is evaluated using expert reviews by distributing questionnaires among five expert users, and User Acceptance Test (UAT) contributed thirty respondents to determine the effectiveness of the system. The result from the Expert Review shows that the proposed system is suitable to use but still needs some improvements. While the result from the UAT indicates that the proposed system has a positive impact and to be well accepted by the majority of the users. Therefore, the most significant potential is the ability of the proposed system to help, assist, enhance and enrich the experience of learning Arabic vocabulary pronunciation more effective and efficient.
Sarthak Rastogi, Archit Shrotriya, Mitul Kumar Singh, Raghu Vamsi Potukuchi
Journal of Computing Research and Innovation, Volume 7, pp 118-130; https://doi.org/10.24191/jcrinn.v7i1.274

Abstract:
From the past few years, Intrusion Detection Systems (IDS) are employed as a second line of defence and have shown to be a useful tool for enhancing security by detecting suspicious activity. Anomaly based intrusion detection is a type of intrusion detection system that identifies anomalies. Conventional IDS are less accurate in detecting anomalies because of the decision taking based on rules. The IDS with machine learning method improves the detection accuracy of the security attacks. To this end, this paper studies the classification analysis of intrusion detection using various supervised learning algorithms such as SVM, Naive Bayes, KNN, Random Forest, Logistic Regression and Decision tree on the NSL-KDD dataset. The findings reveal which method performed better in terms of accuracy and running time.
Diana Sirmayunie Mohd Nasir, Nur Darina Aimi Sabri, Nor Hayati Shafii, Suzanawati Abu Hasan
Journal of Computing Research and Innovation, Volume 7, pp 99-107; https://doi.org/10.24191/jcrinn.v7i1.279

Abstract:
A major fast-food restaurant chain, such as McDonald's, must perform well to maintain its credibility with customers and dominance over other competitors. A fair and balanced shift schedule of workers must be generated to ensure that the workers provide the best service and production for the restaurant. Consequently, this study proposed a fair and efficient workforce schedule at a McDonald's restaurant in Kelantan, Malaysia. Furthermore, the goal programming method and the LINGO software are used in this study to develop the best schedule for the workers over a 28-day period. Five hard constraints and three soft constraints are identified. The primary goal of this study, which demanded the same total workload for each worker, was met. However, the other two goals are not fully achieved but have little impact on the workers due to the 18-hour operation and rotation of schedules among workers. Finally, the generated schedule pattern has been shown to provide a better schedule in terms of having the same total number of shifts for each worker and giving each worker the same total number of off days. 
Romiza Md Nor, Muhammad Amin Abdullah, Nurul Syafiqah Aminuddin, Nur Shahidatul Shaurah Sharifunizam, Aliaa Zafirah Zainal, Huzaifah A Hamid
Journal of Computing Research and Innovation, Volume 7, pp 131-138; https://doi.org/10.24191/jcrinn.v7i1.278

Abstract:
The signs and symptoms of fish disease can be traced by checking on the eye surface which is the cornea of fisheye. The Fish Optic mobile application aims to help students study the fisheye anatomy and to trace the symptoms of diseases on fish. The Fish Optic user mobile application uses Human-Centered System Development Life Cycle (HCSDLC) which consists of four phases which are project selection and planning, analysis, design and implementation. As HCSDLC emphasizes on user involvement throughout all phases, an interview was conducted, and a post task walkthrough was performed. User Acceptance Test formative evaluation was then conducted by distributing questionnaire. Some recommendations are also discussed for future works to improve and refine the design of the Fish Optic mobile application to enhance user experience. It can be concluded that using HCSDLC method throughout the design of Fish Optic mobile application contributes to a well-defined systems requirement to support user needs and to accommodate the lack of human understanding that frustrates users in their daily routines.
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