Journal of Computing Research and Innovation // <p><strong>Journal of Computing Research and Innovation (<em>eISSN : 2600-8793</em>)</strong> is a double-blind peer-reviewed, open access journal which is published bi-anually in March and September. JCRINN is managed by Computer Science Department, Faculty of Computer and Mathemathical Sciences, Universiti Teknologi MARA, Perlis Branch, MALAYSIA.</p> <p><strong>Frequency of Publication</strong> : Twice a year (March and September)</p> <p><strong>Manuscript Language:</strong> English</p> <p><strong>Abstracting and Indexing</strong></p> <p><strong>- </strong><a href="">MyJurnal</a><br />- <a href=";requestCount=0&amp;db=edsdoj&amp;an=edsdoj.676564d0ed974f01a6451b392ae51667&amp;isbn">EBSCO</a><br />- <a href=";as_sdt=0%2C5&amp;">Google Scholar</a><br />- <a href=",the%20fields%20of%20Computer%20science.">UiTM Journal</a><br />- <a href="">Directory of Open Access Journals (DOAJ)</a><br />- <a href=";sort=year&amp;from_ui=yes">CrossRef</a><br />- <a href="">Scilit</a><br />- <a href=";q=jcrinn">OCLC WorldCat</a><br />- <a href="">Index Copernicus</a></p> Universiti Teknologi MARA, Cawangan Perlis en-US Journal of Computing Research and Innovation 2600-8793 Heutagogical Approach in Online English Pronunciation Learning: Student Awareness Survey // <p><em>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. </em></p> Noorfaizalfarid Mohd Noor Latisha Asmaak Shafie Nuralya Maisarah Kamarulzaman Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 379 393 10.24191/jcrinn.v7i2.333 Comparison of Fuzzy Time Series and ARIMA Model for Predicting Stock Prices // <p><em>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.</em></p> Nor Syazwina Binti Mohd Hanafiah Nor Hayati Binti Shafii Nur Fatihah Binti Fauzi Diana Sirmayunie Mohd Nasir Nor Azriani Mohamad Nor Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 366 378 10.24191/jcrinn.v7i2.332 e-Runner: A Mobile Application for Campus Food Delivery Service // <p><em>Nowadays, technology has played a vital role in revolutionizing the food delivery service and benefits the students, runners, and food outlets in many ways. Life as a student is known to be challenging due to academic load, assignment deadlines, bouncing back and forth to class, extra-curricular activities, etc. This is a typical daily scenario on campus that require good time management. In the preliminary investigation of this study, students prefer to take away their food and dine in their rooms so that they will not waste their time by spending too much time in the cafeteria. It is found that convenience is the prime factor for the students as the orders can be made as simple as a few clicks on any mobile device, and the food and beverages are delivered to their doorstep. Additionally, this can prevent them from spending too much or wasting time buying food. Since food delivery becoming popular and preferable recently, thus, this study is aimed to develop a mobile application named e-Runner for the campus food delivery system. Students can make a food order, check the order status, and view a variety of food and beverages from several food outlets. The modified Waterfall Model has been used as the methodology of this study and consists of 4 phases, namely Requirement Analysis, Design, Implementation, and Testing. The application has been tested using two types of testing; Functionality and Usability Testing. The testing results show that this application has many benefits, such as saving time, convenience and act as an all-in-one platform. Furthermore, it can enhance students' lifestyles and can improve customer experience.</em></p> Jiwa Noris Hamid Ammar Adnan Hawa Mohd Ekhsan Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 357 365 10.24191/jcrinn.v7i2.331 Determining the Criteria of Choosing Tour Packages in Langkawi Island Using FAHP // <p><em>Malaysia enters the endemic phase of Covid-19 on 1<sup>st</sup> April 2022. Since then, the Malaysia’s economy has started to recover, and domestic tourism has also restarted. Tourism is one of the factors that contributed to the economy. Avoiding the headache to plan their own trips, tourists usually count on tour operators to turn their dream vacations into realities. Booking a tour is the easiest way for a traveller to experience a foreign land and at the same time they could enjoy their vacation and visit the best spots. The main objective of this study is to determine the main criteria of a tour packages in Langkawi Island by using Fuzzy Analytical Hierarchy Process (FAHP). The five criteria identified are transportation, cost, food service, accommodation, and tour guide. Results showed that the transportation is the most important criteria a tourist look forward in the selection of a tour package. </em></p> Ku Auni Dalili Ku Zahrin Huda Zuhrah Ab Halim Mohd Fazril Izhar Mohd Idris Nur Fatihah Fauzi Nurizatul Syarfinas Ahmad Bakhtiar Nur Izzati Khairudin Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 349 356 10.24191/jcrinn.v7i2.330 Development of Mobile Application with Geolocation Technology for Car Service Workshop // <p><em>Mobile application with geolocation function has been on the market for quite some time. It has been implemented on most of the application to detect the user current location. With the lack of use and awareness of this features, we took that opportunities to develop mobile app and collaborate with YS Auto Workshop. It will detect the customer current location when they request for car breakdown from YS Auto workshop. Notification will be sent to the manager of the workshop and can see the marker on user current location and take an action. Main objectives are to design and develop mobile app and to evaluate its usage using user acceptance test in improving the user needs. Agile methodology has been used based on requirement and it is suitable in the development of mobile application. The development of the system has use agile method which has fifth phases including planning, analysis, design, development, and testing. Three expert users involve during Functionality Testing meanwhile thirty random selected respondents from district of Batang Kali involved in the experiment and perform Heuristic Evaluation and User Acceptance Test questionnaires. Analysis shown that application is interesting and helpful. The system is developed successfully and can make more improvement for the future.</em></p> Nor Arzami Othman Mohd Nizam Osman Khairul Anwar Sedek Muhammad Farid Mohd Bohari Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 338 348 10.24191/jcrinn.v7i2.327 A Low-Cost Home Security Notification System Using IoT and Telegram Bot: A Design and Implementation // <p><em>Home security is a critical issue, especially for the civilians to protect their property from harm. Currently, the increase in home breaking usually occurs during school holidays and public holiday seasons. Therefore, to overcome the problem and the main objective is to design and develop a low-cost home security notification system using PIR sensor to detect movement of intruders, Raspberry Pi Camera, GPS module integrated with Raspberry Pi Zero WH to send an alert notification message with image, date, location, and time via Telegram Bot to the house owner’s and people nearby through a smart phone. The system utilizes the System Development Life Cycle (SDLC) by implementing the waterfall model as the methodology. Three experiments were conducted to examine the effectiveness of the system which is sensor detection range, response time and user acceptance test (UAT). The finding indicates that the home security notification system was efficient, effective, low-cost, and easy to use. Besides, the system can detect the presence of the intruder and send the notification message in a reasonable time. Meanwhile, 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. Hence, the system can help the house owners to take immediate action such as calling the neighbourhood association or police department authority when the system detects an intruder in the house. </em></p> Mohd Nizam Osman Muhammad Haika Faeq Ismail Khairul Anwar Sedek Nor Arzami Othman Mushahadah Maghribi Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 327 337 10.24191/jcrinn.v7i2.325 A Systematic Literature Review: Optimization Timetable in Education to Support Work-Life Balance (WLB) // <p><em>Scheduling academic staff timetables is crucial and necessary to avoid redundancy and clash of class between teacher and student timetables. A good timetable allows students and teachers to manage their time and support a good and healthy lifestyle. However, with the scheduling, academic staff timetable may use many procedures to get efficient results. Therefore, this paper provides a gap of study for existing work on Optimization Timetable to support Work-Life Balance (WLB) regarding their market commercial and research purposes. The methodology of this study was conducted using a Systematic Literature Review (SLR). Result: two findings investigate 1) relevant optimization timetable scheduling used and 2) the method for timetable optimization to support WLB. The strengths and weaknesses of the features and utilities behind each study are also presented to provide a further understanding of the gaps and weaknesses of each body of research. We conclude that these studies are still insufficient and require further evaluation and improvement.</em></p> Noorrezam Yusop Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 316 326 10.24191/jcrinn.v7i2.324 Analysis of the Performance Measures of a Non-Markovian Fuzzy Queue via Fuzzy Laplace Transforms Method // <p><em>Laplace transforms play an essential role in the analysis of classical non-Markovian queueing systems. The problem addressed here is whether the Laplace transform approach is still valid for determining the characteristics of such a system in a fuzzy environment. In this paper, fuzzy Laplace transforms are applied to analyze the performance measures of a non-Markovian fuzzy queueing system FM/ FG/1. Starting from the fuzzy Laplace transform of the service time distribution, we define the fuzzy Laplace transform of the distribution of the dwell time of a customer in the system. By applying the properties of the moments of this distribution, the derivative of this fuzzy transform makes it possible to obtain a fuzzy expression of the average duration of stay of a customer in the system. This expression is the fuzzy formula of the same performance measure that can be obtained from its classical formula by the Zadeh extension principle. The fuzzy queue FM/ FE_k /1 is particularly treated in this text as a concrete case through its service time distribution. In addition to the fuzzy arithmetic of L-R type fuzzy numbers, based on the secant approximation, the properties of the moments of a random variable and Little's formula are used to compute the different performance measures of the system. A numerical example was successfully processed to validate this approach. The results obtained show that the modal values of the performance measures of a non-Markovian fuzzy queueing system are equal to the performance measures of the corresponding classical model computable by the Pollaczeck-Khintchine method. The fuzzy Laplace transforms approach is therefore applicable in the analysis of a fuzzy FM/FG/1 queueing system in the same way as the classical M/G/1 model.</em></p> Baudouin Adia Leti Mawa Rostin Mabela Makengo Matendo Jean Pierre Mukeba Kanyinda Bopatriciat Boluma Mangata Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 304 315 10.24191/jcrinn.v7i2.323 Simulation of COVID-19 Trend in Selangor via SIR Model of Infectious Disease // <p><em>Coronavirus Disease 2019 (COVID-19) was initially reported in December 2019 in Wuhan City, China, as a result of a respiratory pandemic. Since then, the infection has spread rapidly and uncontrollably around the globe, prompting the World Health Organization (WHO) to declare it a pandemic. The study's overall objective is to imitate the COVID-19 infectious trend in Selangor. The SIR model is used to forecast infection and the course of COVID-19 diffusion and estimate the fraction of the population infected. As a result, the Susceptible, Infectious, and Recovered (SIR) model was used to accomplish the study's aims. From March 23, 2020, to June 30, 2020, 100 days of COVID-19 data were extracted from a database on the Malaysian Ministry of Health's website. The RStudio software was used to analyse data on infectious trends in this study. The SIR model is used to predict the basic reproduction ratio, </em><em>, based on actual and simulated infectious trends for comparison. The value of the basic reproduction ratio for simulating the infectious trend is 2.0, and the basic reproduction ratio for modelling the infectious trend with the entire population of Selangor is 1.15429. According to the findings of this study, the reproduction ratio would affect the number of infected individuals by reducing the number of recovered individuals. The effectiveness of lockdown in preventing COVID-19 disease in Selangor was demonstrated by a significant reduction in the basic reproduction ratio, </em><em>.</em></p> Suzanawati Abu Hassan Yeong Kin Teoh Diana Sirmayunie Mohd Nasir Nur Shamira Sharil Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 294 303 10.24191/jcrinn.v7i2.322 A Comparative Study Between Holt's Double Exponential Smoothing and Fuzzy Time Series Markov Chain in Gold Price Forecasting // <p><em>Gold price is important to a country’s economy as it can be used as a hedge against inflation especially during financial turmoil. Besides, the gold price also has an impact on the stock market price. As an investor, to make a good investment plan, information regarding the fluctuation price of gold is necessary to minimize the risk. Therefore, t</em><em>his study proposes to compare two of the forecasting models, namely Holt's Double Exponential Smoothing and Fuzzy Time Series Markov Chain to forecast the price of gold. Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) are used to determine a better forecasting model with smaller error. Initially, the data price of gold is analysed by using Durbin Watson Test to check the suitability of the data for time series analysis. The finding of this study shows that Fuzzy Time Series Markov Chain is more accurate in predicting gold price as compared to Holt’s Double Exponential Smoothing because it produces smaller values of RMSE and MAPE. </em></p> Jasmani Bidin Sharifah Fhahriyah Syed Abas Noorzila Sharif Che Afif Azhan Che Muhammad Fahimi Ku Azlina Ku Akil Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 283 293 10.24191/jcrinn.v7i2.320 An E-Quiz System: A Pathway to Improve English Learning for Preschoolers in Rural Areas // <p><em>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.</em></p> Anis Roslan Tajul Rosli Razak Mohammad Hafiz Ismail Iman Hazwam Abd Halim Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 272 282 10.24191/jcrinn.v7i2.319 The Significant Factors Influencing Landscape Satisfaction among Residents Towards Home Garden Landscape in Puchong, Selangor // <p><em>Landscape satisfaction towards home garden landscape is vital to preserving home garden ownership. This study was conducted to determine the factors influencing landscape satisfaction towards home garden landscape as there is an insufficient number of studies regarding the subject. This study also focused on residents who own a home garden and mainly live in a residential area in Puchong, Selangor, as the respondents. Quantitative data through a survey questionnaire was collected among them. The Snowball sampling technique was used as the sampling technique. SPSS software was deployed to conduct frequency analysis, reliability analysis, correlation analysis, and regression analysis for the data analysis. The research study found that plant diversity was most significant to landscape satisfaction since the p-value of plant diversity was 0.000 and followed by the environmental awareness factor with a p-value of 0.011. It can be concluded that plant diversity and environmental awareness were influential variables in the landscape satisfaction toward the home garden landscape. The independent variable could be varied to explore other factors influencing the landscape satisfaction towards home garden landscape in Puchong, Selangor, for future research.</em></p> Siti Nor Nadrah Muhamad Nur Syuhada Muhammat Pazil Wan Nurshazelin Wan Shahidan Nur Illani Abd Razak Nur Afiqah Norman Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 259 271 10.24191/jcrinn.v7i2.317 A Goal Programming Approach For Frozen Food Production Planning // <p><em>This paper examines the Goal Programming (GP) approach in food production planning in order to further enhance and find better solutions. The objective of this paper is to determine the optimum level of frozen food production for small and medium enterprise (SME). Azali Frozen Food, a small and medium enterprise located in Penang was selected as it can produce a range of frozen foods throughout the country. The problem is handled through Lexicographic Goal Programming. The results are compared to the available data that was given and other findings were reviewed. The findings of this paper are expected to assist community small and medium enterprise and other decision makers involved in production planning. The developed method will also be of use for those who are interested in the model of goal programming to solve complex planning issues involving uncertain parameters.</em></p> Aishah Mahat Nurwahyu Mohd Zaki Teoh Yeong Kin Harshida Hasmy Nur Intan Syafinaz Ahmad Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 245 258 10.24191/jcrinn.v7i2.316 Application of Fuzzy TOPSIS in Selecting Poverty Case Among UiTM Perlis Students due to COVID-19 Pandemic // <p><em>The effects of Covid-19 are not only in terms of health, but many things arise along with its existence. One of them is poverty. Due to this, </em><em>Universiti Teknologi MARA(UiTM) has taken the initiative to offer several financial aids to the affected students. However, the students must fill in the application form to obtain the aid. They need to provide the supporting documents such as parents pay slip, information on family dependent and so on, which will be inspected, graded and selected by the committee to determine the qualification for the financial aids. Due to this, it will be a long process to select the rightful applicants, which involves a significant length of time as it consisted of hundreds of applicants. Hence, the aim of this study is to select and rank the most eligible candidates among UiTM Perlis students with fairness, fast and accurate manner. In this study, the Fuzzy Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) method was used to solve the problem. The model was run using Microsoft Excel. The selection of UiTM Perlis students were based on a set of criteria that had been predetermined which includes family income, occupation and the number of dependent in the family. The findings of the study showed that from 35 samples of UiTM Perlis students, the highest-ranking was student 35 (S35) with 1.0000 relative closeness. Meanwhile, the lowest ranking was student 30 (S30) with 0.6478 relative closeness. It is also shown that all samples are qualified to receive financial aid due to sufficient allocation amount provided by UiTM Perlis. As a result, the mistakes during the selection process can be reduced by using this method compared to manual selection. Thus, making it easier and faster to channel the aid. All in all, it has been demonstrated that this method </em><em>is very suitable to be used in this study.</em></p> Sharifah Fhahriyah Syed Abas Nurulain Nabilah Muhamad Fauzuk Copyright (c) 2022 Journal of Computing Research and Innovation 2022-09-30 2022-09-30 7 2 234 244 10.24191/jcrinn.v7i2.311