Journal of Computing Research and Innovation最新文献

{"title":"Shift Scheduling with the Goal Programming Approach in Fast-Food Restaurant: McDonald’s in Kelantan","authors":"Diana Sirmayunie Mohd Nasir, Nur Darina Aimi Sabri, Nor Hayati Binti Shafii, Suzanawati Abu Hasan","doi":"10.24191/jcrinn.v7i1.279","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.279","url":null,"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.\u0000 ","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115989891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the Factors of Committing Crime by Foreign Workers Using Fuzzy Techniques","authors":"Nur Syuhada Muhammat Pazil, Norwaziah Mahmud, Siti Hafawati Jamaluddin, Nur Aisyah Maslin","doi":"10.24191/jcrinn.v7i1.262","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.262","url":null,"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.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115100021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Driven Mathematical Models for Forecast of Covid-19 Disease in Nigeria","authors":"O. Adedire, Y. Sadiku, O. Adedire, K. Collina, Afolabi. O Oladejo, G. Sikiru","doi":"10.24191/jcrinn.v7i1.258","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.258","url":null,"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.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126010489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"E-Complaint System for UiTM Perlis College Embedded with Gamification","authors":"‘Afifah Najibah Arif, M. Othman, Nurzaid Muhd Zain, Zulfikri Paidi","doi":"10.24191/jcrinn.v7i1.283","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.283","url":null,"abstract":"Even though people can make complaints through a computerized system, some places still use the manual system. The manual system is inconvenient for the complainant because they must visit the respective counter to channel the complaints. In addition, the form provided usually consists of long instructions for the complainant to read before channelling the complaint. This paper discusses the development of an e-Complaint System for UiTM Perlis colleges embedded with gamification. In this system, there are three gamification elements included, which are the progress bar, leaderboard, and Avatar selection for personalization.  Two tests were conducted, which are functionality and usability testing through various platforms such as YouTube, 000webhost, and Google Form. There were 33 respondents for the usability testing consisting of students and staff of UiTM Perlis. While the functionality testing was conducted with UiTM Perlis lecturers who have experienced teaching IT subjects. From the responses obtained from the respondents through PPSUQ Survey, most of the respondents agreed that the developed system helped them in channelling complaints and updating the status of their complaints compared to the existing system. The system developed does include some gamification elements which can ease the users to use the e-complaint system in the future. Via this system, users were guided on how to lodge complaints via step-by-step process instead of reading long instructions which could lead them to confusion.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122387032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Chinese Patents associated with Incremental Clustering Algorithms: A Review","authors":"A. Chaudhari, Preeti Mulay, A. Tiwari","doi":"10.24191/jcrinn.v7i1.266","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.266","url":null,"abstract":"With the advent of Internet-of-Things (IoT) and overall Information-Technology world, an enormous amount of data is getting generated dynamically and in real-time mode, in almost all domains of research and application systems. Such huge data has embedded patterns and hidden information to extract and learn. This learning is incremental in nature for all involved entities and users, as the data is growing exponentially in real-time. To achieve learning from such dynamic data sources, incremental clustering algorithms are used mandatorily. This mandate has given rise to increased patents related to incremental clustering concept, which is primarily a significant part of Machine Learning field. In this paper, we contribute to the in-progress discussion on the use of intellectual property resources, particularly patents related to machine learning, incremental clustering, incremental learning with a special focus to country China. Due consideration of the prior art search, the author found that China the country of registration of the application extensively contributes to the intellectual property related to incremental clustering domain hence felt the need to undertake this detailed patent analysis about this topic. We hope all readers, research scholars will be benefited with the latest research presented in this paper pertaining to various patents in the advanced areas of computer engineering.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122864875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing Fish Optic Mobile Application for Fish Disease Identification","authors":"Romiza Md Nor, Muhammad Amin Abdullah, Nurul Syafiqah Aminuddin, Nur Shahidatul Shaurah Sharifunizam, Aliaa Zafirah Zainal, H. A. Hamid","doi":"10.24191/jcrinn.v7i1.278","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.278","url":null,"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.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125699817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Library Reservation System Using Face detection","authors":"Nik Ruslawati Nik Mustapa, Nur Athikah Fatehah Rosli","doi":"10.24191/jcrinn.v7i1.275","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.275","url":null,"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.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131900733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring Students' Perception on Mathematics Learning Using Fuzzy Conjoint Analysis","authors":"Zurina Kasim, Nur Liyana Muhamad Sukri","doi":"10.24191/jcrinn.v7i1.270","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.270","url":null,"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).\u0000 ","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132859081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Neural Network (ANN) to Predict Mathematics Students’ Performance","authors":"N. Mahat, Nor Idayunie Nording, J. Bidin, Suzanawati Abu Hasan, Teoh Yeong Kin","doi":"10.24191/jcrinn.v7i1.264","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.264","url":null,"abstract":"Predicting students’ academic performance is very essential to produce high-quality students. The main goal is to continuously help students to increase their ability in the learning process and to help educators as well in improving their teaching skills. Therefore, this study was conducted to predict mathematics students’ performance using Artificial Neural Network (ANN). The secondary data from 382 mathematics students from UCI Machine Learning Repository Data Sets used to train the neural networks. The neural network model built using nntool. Two inputs are used which are the first and the second period grade while one target output is used which is the final grade. This study also aims to identify which training function is the best among three Feed-Forward Neural Networks known as Network1, Network2 and Network3. Three types of training functions have been selected in this study, which are Levenberg-Marquardt (TRAINLM), Gradient descent with momentum (TRAINGDM) and Gradient descent with adaptive learning rate (TRAINGDA). Each training function will be compared based on Performance value, correlation coefficient, gradient and epoch. MATLAB R2020a was used for data processing. The results show that the TRAINLM  function is the most suitable function in predicting mathematics students’ performance because it has a higher correlation coefficient and a lower Performance value.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125064619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Design and Implementation of Web-Based Multimedia Learning Content Management System for Arabic Vocabulary Pronunciation","authors":"Mohd Nizam Osman, Mushahadah Maghribi, Nur Shazlena Sarif Puddin, Khairul Anwar Sedek, N. Othman","doi":"10.24191/jcrinn.v7i1.281","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i1.281","url":null,"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.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121298062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}