Journal of Computing Research and Innovation最新文献

{"title":"Adjusted 0-1 Knapsack Problem in Cargo Flow by Using Artificial Bee Colony Algorithm","authors":"Siti Hafawati Jamaluddin, Norwaziah Mahmud, Nur Syuhada Muhammat Pazil","doi":"10.24191/jcrinn.v7i2.303","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.303","url":null,"abstract":"This study describes the problem with the knapsack that occurred in the cargo flow. The problem of the knapsack is the problem of optimisation used to illustrate the problem and the solution in which each set of items has its own specific value and weight. With its total value as much as possible, the number of items that may become less or at least equal to or equal to the limit. Therefore, the aim of this study is to determine the minimum total cost of 30 shipments based on volume by using Artificial Bee Colony (ABC) algorithm in order to achieving the highest profit. ABC algorithm was derived from the bee colony which consists of four phases of initialisation, employed bees, onlooker bees and scout bees. Based on the result obtained, the total cost of the shipment is 402.377 tons per km which starting from the Shipment 25 with 2 560 000 tons per year for 0.111 tons per km and ends with Shipment 21 with 2 250 000 tons per year for 0.129 tons per km.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":" 37","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113951457","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":"Factors Affecting Mental Illness and Social Stress in Students Using Fuzzy TOPSIS","authors":"Izleen Ibrahim, Nurul Hidayah Mansor, J. Bidin","doi":"10.24191/jcrinn.v7i2.294","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.294","url":null,"abstract":"A disorder known as mental illness alters a person’s emotions, thoughts, or behaviour. Any of these elements alone or in combination may cause it. If stress cannot be managed, people of all ages, races, religions, sexes, and nationalities can develop mental illnesses. The development of mental diseases is significantly influenced by stress. Risk factors for mental illness and social stress include academic stress, socioeconomic position, and financial difficulties. All of these risk variables are challenging to pinpoint because they come from many environments. The purpose of this study is to identify the key aspects that students experience that contribute to mental illness and social stress, as well as to rank those factors by using Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This study ranks social life, academic life, and financial status as the three factors that have the greatest influence on mental illness and social stress among college students. The following evaluation criteria are used to grade the components: family background, educational attainment, physical health, and mode of study. Additionally, Fuzzy TOPSIS is used to rank the variables according to correlation. The issues in this study are evaluated by three decision-makers using linguistic characteristics ranging from “very affected” to “not affected”. With a proximity value of 0.469, the research demonstrates that academic life has a significant impact on student’s mental health and social stress. With a closeness coefficient of 0.358, social life is the least significant factor. The results of this study may be useful to many people, including parents, counsellors, and the kids themselves. The project’s scope could be expanded in the future by adding a range of criteria and options.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123484361","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":"Comparison of Fuzzy Time Series and ARIMA Model for Predicting Stock Prices","authors":"Nor Syazwina Binti Mohd Hanafiah, Nor Hayati Binti Shafii, Nur Fatihah Binti Fauzi, Diana Sirmayunie Mohd Nasir, Nor Azriani Mohamad Nor","doi":"10.24191/jcrinn.v7i2.332","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.332","url":null,"abstract":"The stock market has always been a contentious topic in society, and it is a place where economic standards are established. The stock market is incredibly unpredictable and turbulent. This means that the shares may fluctuate for reasons that are sometimes difficult to understand.  Due to this uncertainty, many investors believe the stock market as a risky investment.  Therefore, having an accurate picture of future market environment is crucial to minimising losses. Forecasting is a technique of predicting the future based on the outcome of the previous data.  There are a wide range of forecasting algorithms, however, this study only focuses on these two techniques: Auto Regressive Moving Average (ARIMA) model and Fuzzy Time Series (FTS) Model. The goal of this study is to evaluate and compare the effectiveness of the ARIMA model and the FTS model in predicting sample data of stock prices of Top Glove Corporation Berhad since this company is the largest glove supplier in the world and plays a significant role in the Covid-19 global pandemic crisis. The error measures that were taken into consideration consist of Root Mean Square Error (RMSE), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE). These measurements were computed numerically and graphically using a statistical programme called EViews.  The outcome shows that the ARIMA model performs better than the FTS model in terms of forecasting accuracy and provides the lowest values of MAPE, MSE, and RMSE, which are 10.58757, 0.926354, and 0.962473, respectively.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123707511","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":"Comparison of Linear and Integer Linear Programming for the Profit Optimization in Bakery Production: A Case Study at Temptlicious Enterprise","authors":"Diana Sirmayunie Mohd Nasir, Nur Najihah Hamdan, Nur Hayati Shafii, Normiza Mohamad Nor","doi":"10.24191/jcrinn.v7i2.297","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.297","url":null,"abstract":"Nowadays, the bakery industry is widely spread and famous because it can be run by a small industry or a large industry. Seeing as bakery businesses, especially small industries prefer to allocate scarce resources through trial and error to maximize profit. As a result, the company has had difficulty allocating scarce resources, affecting gross profit and gross profit margin (GPM). As a consequence, the goals of this study were (i) to determine the total number of selected products that Templicious Enterprise should produce, (ii) to compare final results using Linear Programming (LP), Integer Linear Programming (ILP), and trial-and-error methods and (iii) to find out the limits of the maximum and minimum for each type of product using sensitivity analysis. The LP and ILP methods are calculated manually and using QM for Windows. As a result, it shows that the Templicious Enterprise should produce a total of one cycle (3 units) of standard pavlova, three cycles (24 units) of superbaby pavlova and one cycle (2 units) of personal pavlova for a total profit of RM 446.99. The result was obtained using ILP, and lastly, it shows that if prices rise, the Temptlicious Enterprise will have to raise the price of the pavlova they make to avoid making a loss.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132702197","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":"An E-Quiz System: A Pathway to Improve English Learning for Preschoolers in Rural Areas","authors":"A. Roslan, T. R. Razak, M. Ismail, Iman Hazwam Abd Halim","doi":"10.24191/jcrinn.v7i2.319","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.319","url":null,"abstract":"E-Quiz Systems is a system that replaces manual techniques, which are paperless methods often utilised in rural preschools. This paper presents an interactive web-based solution to assist students and teachers in rural regions with English language learning and instruction. This study attempts to motivate preschoolers in rural locations to learn English while providing instructors with interactive web-based methods to measure their students’ knowledge levels. A web-based application system is created to display e-quiz questions using the interactive multimedia principles of multiple media types and navigation with user input. Using interactive multimedia concepts, an E-Quiz System is designed to serve as an interactive quiz for English learning. ADDIE Model was the approach employed in this project. In addition, this project underwent testing for functionality and usability. As a contribution, it has been established that this study will give a pathway that piques children’s interest in learning English and makes it simpler for instructors to evaluate children’s growth using the E-Quiz System score.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960895","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":"Assessment of Qur’an Reciting Competitions Using the Fuzzy Evaluation Method","authors":"Khairu Azlan Abd Aziz, Mohd Fazril Izhar Mohd Idris, Wan Suhana Wan Daud, Abdul Muhaimin Tajaludin","doi":"10.24191/jcrinn.v7i2.287","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.287","url":null,"abstract":"A Qur’an Reciting Competition evaluates a participant's performance based on several factors, including Tajweed, Tarannum, Fasohah, and Vocal Quality. Participants in the Qur’an Reciting Competition are usually assigned a point value of 100, with each point representing a linguistic word or label such as “Exceptional,” “Excellent,” “Fairly Good,” and so on. Evaluating participant performance seems difficult because it involves human decision-making, which is imprecise, ambiguous, and unpredictable. This study employed the fuzzy evaluation method to assess participants’ performance at a Qur’an Reciting Competition in Klang. In this manner, the membership function graph was used to determine the membership value of each satisfaction level. The satisfaction level of each participant’s mark was then computed. At the end, the fuzzy markings with linguistic values would be obtained. The proposed method provides an alternative approach that is reasonable and intelligent in assessing competitors’ performance. This method is practical because it can increase the satisfaction of participants and assist the panels in making more reliable decisions during the competition.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115145522","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":"Short Term Forecast of COVID-19 cases in Japan Using Time Series Analysis Models","authors":"Normiza Mohamad Nor, Azlan Abdul Aziz, Wan Nurshazelin Wan Shahidan, Siti Nor Nadrah Muhamad","doi":"10.24191/jcrinn.v7i2.301","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.301","url":null,"abstract":"The new strain of coronavirus (COVID-19) was found to have started in Wuhan, China in late December 2019. The virus has spread to countries all over the world including Japan. The World Health Organization (WHO) declared COVID-19 as a pandemic on 11 March 2020 due to the increasing number of confirmed cases and deaths daily. The COVID-19 outbreak has impacted the nation of Japan adversely and the number of confirmed cases in Japan continues to increase day by day. On 7 April 2020, Japan declared a state of emergency to prevent the pandemic from worsening. This study is conducted to forecast new daily confirmed cases of COVID-19 in Japan over a short-term period. Four univariate time series models were applied: the Naïve Model, Mean Model, Autoregressive Integrated Moving Average (ARIMA) Model and Exponential State Space Model. This study analyses daily data from 22 January to 10 April 2020 collected from the Our World in Data website. The prediction involves five phases of data analysis and five different partitions of estimation and evaluation parts in every model to ensure the accuracy of forecast values. R and R Studio software were used in this study to analyze the data. The results reveal that Naïve model with 99 percent of estimation part and 1 percent evaluation part produces the lowest value of error measures for Mean Error (ME), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Absolute Scaled Error (MASE).","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127004579","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":"Heutagogical Approach in Online English Pronunciation Learning: Student Awareness Survey","authors":"Noor Fariza Mohd Noor, L. A. Shafie, Nuralya Maisarah Kamarulzaman","doi":"10.24191/jcrinn.v7i2.333","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.333","url":null,"abstract":"English language learners have difficulties in English in pronouncing fricative consonants, voiced and voiceless TH, plosive consonants and vowel sounds. Serious speech mistakes can lead to miscommunication since poor pronunciation abilities make it difficult for other people to hear what you are saying. Additionally, students may miss their lecturers' direct explanations of proper pronunciation when taking online English lessons with inconsistent Internet access. Proper pronunciation can help students participate in conversations, form connections, and improve graduates' employability abilities. Furthermore, pronunciation skills are learnt independently at higher education institutions. Before designing a web-based tool for self-directed learning of English pronunciation, the designers must get feedback from the students about their self-directed learning, self-evaluation of English language proficiency and English learning experiences through Online Distance Learning (ODL). This survey is a preliminary survey towards the development of a heutagogical English pronunciation application. An online questionnaire was disseminated to 424 respondents from various higher education institutions in Malaysia.  In this survey, firstly we aimed to get feedback from the students about their self-directed learning, self-evaluation of English language proficiency and English learning experiences through Online Distance Learning (ODL). The survey consisted of demographic data of respondents, standardized test of English language proficiency, self-evaluation of English language proficiency and English language learning experiences during COVID-19. The findings suggested that although language learners have developed their self-directed learning skills, they still need to improve these skills in learning the language using ODL. Learners consider themselves as having average English language proficiency. They were responsible for improving their pronunciation skills and needed assistant tools to improve their pronunciation skills. It is recommended that an application that uses a heutagogical approach such as Speech-to-Text and Text-to Speech need to be developed.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"30 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134555469","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":"Evaluation of the Best E-commerce Websites in Malaysia Using Fuzzy AHP","authors":"Siti Nor Nadrah Muhamad, Umaira Zaib, Mohd Halimi Ab Hamid","doi":"10.24191/jcrinn.v7i2.308","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.308","url":null,"abstract":"E-commerce, often known as electronic commerce, is a method of doing business that involves purchasing and selling products and services via a digital network like the internet. Since there are various types of e-commerce websites in Malaysia like Lazada, Shopee and PGMall, the consumers have difficulties choosing which e-commerce websites to access for online shopping. The organisation also finds it hard to make a judgement about which sites to use for their online transaction and human judgement for decision making is not reliable in our daily life.  The Fuzzy AHP method was used in this study to select the best e-commerce websites in Malaysia. The research aim is to determine the criteria when choosing e-commerce websites, identify sub-criteria that impact e-commerce website rankings and investigate the best rank of e-commerce in Malaysia. In this study, two decision-makers examine three criteria and eight sub-criteria to determine the best e-commerce websites in Malaysia. There are three websites to choose from Shopee, Lazada, and PGMall. The criteria are system quality, information quality, and service quality. Besides, the sub-criteria are access speed, visual appearance, response time, reliable information, update information, accurate information, tracking order status, and payment alternatives. The primary data was used by distributing a set of questionnaires to the experts in the field. Shopee is the best e-commerce website in Malaysia, according to the results, with a normalised score of 0.4488. Lazada comes in second with a normalised 0.4360, and PGMall with a normalised 0.1153. As a result, Shopee outperforms the other two online transaction platforms, Lazada and PGMall.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132913240","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":"Development of a Web-based Water Supply Complaint Management System","authors":"Ema Kulata Merang, A. F. Ibrahim, M. Jamaluddin","doi":"10.24191/jcrinn.v7i2.305","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.305","url":null,"abstract":"Every neighbourhood must have access to clean water supply. Disturbances in the water supply may have negative effects on both the economy and public health. Currently there are various methods of filing a complaint to the local water supply distributor. Improper management of these complaints lead to slow responses to affected area, causing displeasure among the users. The aim of the research is to design and develop a web-based Water Supply Complaint Management System to assist users to file complaints related to water supply issues. The system was also designed to assist local authorities or water supply distributor company to properly manage complaints to act quickly. User acceptance testing is used to evaluate the proposed system after it has undergone numerous functional tests. The system was developed using the System Development Life Cycle (SDLC) and the waterfall model was chosen for the methodology. Thirty respondents from Sibu, Sarawak, were chosen to participate in the testing phase and were asked to complete questionnaires that were divided into four categories, including user interface satisfaction, ease of use, usability, and functionality. According to the results of the evaluation, most of the respondents gave positive feedbacks towards the overall functionality of the proposed system. Therefore, it is hoped that all features provided by the proposed system will benefit all users, particularly those who frequently have water supply related issues in their community.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130286704","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}