Journal of Computing Research and Innovation最新文献_第3页

Evaluation and Selection of Online Food Delivery (OFD) Companies in Perlis Using Fuzzy Analytical Hierarchy Process (AHP 基于模糊层次分析法(AHP)的波斯在线外卖企业评价与选择

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.302

Zurina Kasim, Nur Anis Liyana Muhamad Rosli

{"title":"Evaluation and Selection of Online Food Delivery (OFD) Companies in Perlis Using Fuzzy Analytical Hierarchy Process (AHP","authors":"Zurina Kasim, Nur Anis Liyana Muhamad Rosli","doi":"10.24191/jcrinn.v7i2.302","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.302","url":null,"abstract":"The COVID-19 pandemic has accelerated the global expansion of online food delivery (OFD) services. Food delivery services are comparable to courier services in that the ordered food is delivered to customers by workers or rider delivery companies. As the number of OFD companies continues to rise, the selection of OFD companies, such as GrabFood, Foodpanda, Halo Delivery, and others, is extremely competitive. Customers must choose carefully which OFD companies offer the best services. The objectives of this research are to investigate the evaluation criteria for OFD companies, then evaluate the OFD companies based on the evaluation criteria and rank the best OFD companies that provide the best services to customers in Perlis based on certain criteria. As a result, this study proposes a solution to this problem by developing a technique from multi criteria decision making (MCDM) known as the Fuzzy Analytical Hierarchy Process (FAHP) to determine the relative importance of criteria used in ranking OFD services. This study’s findings indicate that Foodpanda is the most preferred food delivery service, followed by Grabfood and Halo Delivery. The most crucial main criteria is the economy, with discounts and offers as the priority sub-criteria. The second most important criterion is service quality, and the last is technology.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"6 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":"117040280","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}

引用次数: 1

Cheng Fuzzy Time Series Model to Forecast the Price of Crude Oil in Malaysia 程模糊时间序列模型预测马来西亚原油价格

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.304

J. Bidin, Noorzila Sharif, Sharifah Fhahriyah Syed Abas, Ku Azlina Ku Akil, Nurul Aqilah Abdullah

{"title":"Cheng Fuzzy Time Series Model to Forecast the Price of Crude Oil in Malaysia","authors":"J. Bidin, Noorzila Sharif, Sharifah Fhahriyah Syed Abas, Ku Azlina Ku Akil, Nurul Aqilah Abdullah","doi":"10.24191/jcrinn.v7i2.304","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.304","url":null,"abstract":"Crude oil is one of the important commodities to Malaysia. As a producer and exporter of oil and gas, Malaysia has gained high Gross Revenue from this sector. Crude oil is the global commodity and highly demanded. Therefore, major price changes on the commodity have a significant influence on world economy. Market sentiment, demand, and supply are some elements directly influencing the oil prices. Since crude oil is the backbone of businesses and is extremely important to the economy, it is essential to study the price of crude oil for future planning purposes. For that reason, this study proposes the use of the Fuzzy Time Series Cheng to predict crude oil price in Malaysia. In this study, Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) are used to evaluate the forecast performance. The result shows that Fuzzy Time Series Cheng is able to produce a good result in forecasting since the analyses shows that the low value of RMSE and MAPE (less than 10 percent). Although this is the fundamental study but the finding may assist many sectors in Malaysia, such as governments, enterprises, investors, and businesses to produce a better economic planning in the future especially after the pandemic covid-19 phase.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"9 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":"116863837","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}

引用次数: 0

Development of Mobile Application with Geolocation Technology for Car Service Workshop 基于地理定位技术的汽车服务车间移动应用开发

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.327

Norjah Othman, Mohd Nizam Osman, Khairul Anwar Sedek, Muhammad Farid Mohd Bohari

{"title":"Development of Mobile Application with Geolocation Technology for Car Service Workshop","authors":"Norjah Othman, Mohd Nizam Osman, Khairul Anwar Sedek, Muhammad Farid Mohd Bohari","doi":"10.24191/jcrinn.v7i2.327","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.327","url":null,"abstract":"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.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"48 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121014670","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}

引用次数: 0

Remote Patient Monitoring System For Covid-19 Patient Using Wi-Fi-Based Pulse Oximeter Reading Sensor 基于wi - fi脉搏血氧计读数传感器的Covid-19患者远程监护系统

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.290

Muhammad Akmal Mohd Takiyuddin, Iman Hazwam Abd Halim, T. R. Razak, Mohd Faris Mohd Fuzi

{"title":"Remote Patient Monitoring System For Covid-19 Patient Using Wi-Fi-Based Pulse Oximeter Reading Sensor","authors":"Muhammad Akmal Mohd Takiyuddin, Iman Hazwam Abd Halim, T. R. Razak, Mohd Faris Mohd Fuzi","doi":"10.24191/jcrinn.v7i2.290","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.290","url":null,"abstract":"Continuous Heart disease and blood pressure are diseases that demand immediate care. Heart disease is currently one of the world's most fatal illnesses, as it always results in death. Pulse Oximeter Reading must be continuously measured, analyzed, and monitored in real-time to ensure that relevant measures may be taken when necessary. In this paper, we present a model that employs IoT to inform users about the incidence of heart disease and high blood pressure in their daily health. The Remote Patient Monitoring System for Covid-19 Patients Based on Oximeter Reading Sensor uses the Web Server ESP32 MAX30100 to replace the present Oximeter Reading monitoring and public broadcasting approaches. In addition, the NodeMCU ESP8266 Wi-Fi module allows the devices to save data in the cloud when connected to the Internet. Also, it is possible to construct effective real-time Heart Rate and Oxygen Level (IoT) monitoring. The findings indicated that users might access and monitor Heart rate and oxygen level via the Web Server regardless of their location in the monitoring region. Furthermore, providing an LCD is incredibly beneficial as it can show readings and ensure the users receive Pulse Oximeter Reading monitoring information when the device is in operation.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"13 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":"121416014","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}

引用次数: 0

Autoregressive Integrated Moving Average vs. Artificial Neural Network in Predicting COVID-19 Cases in Malaysia 自回归综合移动平均线与人工神经网络预测马来西亚COVID-19病例的比较

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.298

Aina Humaira Rostam, Nor Hayati Binti Shafii, Nur Fatihah Fauzi, Diana Sirmayunie Md Nasir, Normiza Mohamad Nor

{"title":"Autoregressive Integrated Moving Average vs. Artificial Neural Network in Predicting COVID-19 Cases in Malaysia","authors":"Aina Humaira Rostam, Nor Hayati Binti Shafii, Nur Fatihah Fauzi, Diana Sirmayunie Md Nasir, Normiza Mohamad Nor","doi":"10.24191/jcrinn.v7i2.298","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.298","url":null,"abstract":"On March 11,2020, the World Health Organization (WHO) declared Covid-19 as a global pandemic. The spread of Covid-19 has threatened many lives in nearly every country. In Malaysia, the health authorities have expressed concerns over an increasing number of cases and deaths. Due to the lockdown, this pandemic has also had an impact on most economic activities. Consequently, it is crucial to develop a reliable forecasting model to anticipate the number of cases. This study proposes two models: Autoregressive Integrated Moving Average (ARIMA) and Multilayer Perceptron Neural Network (MPNN) in predicting the number of Covid-19 cases in Malaysia. Using Mean Absolute Error (MAE), the effectiveness and forecasting accuracy of the two models are compared and assessed. The lowest the value of MAE, the more accurate the forecasted outputs. The secondary data used in this study was the average number of Covid-19 cases each day in Malaysia from March 1, 2020, to March 29, 2021. To evaluate the data, RStudio and Alyuda NeuroIntelligence are utilised. As a consequence, the ARIMA (4,1,5) model provided the best fit to the data when compared to other ARIMA models, with a Mean Absolute Error (MAE) score of 1096.799. However, Multilayer Perceptron Neural Network (MPNN), which had the lowest MAE value of 334.591, outperformed ARIMA in terms of performance. The MPNN model was then used to forecast the number of Covid-19 instances for the next 30 days. According to the findings, daily increases in cases are anticipated.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"7 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":"122217015","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}

引用次数: 0

Analyzing Online Marketing for Contemporary Snacks Through Instagram using SIR Model 运用SIR模型分析当代零食在Instagram上的网络营销

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.280

Nur Syazwani Atikah Mohd Hilmi, Noorzila Sharif

{"title":"Analyzing Online Marketing for Contemporary Snacks Through Instagram using SIR Model","authors":"Nur Syazwani Atikah Mohd Hilmi, Noorzila Sharif","doi":"10.24191/jcrinn.v7i2.280","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.280","url":null,"abstract":"During the implementation of the Movement Control Order (MCO), e-marketing became a favourable solution for sellers to interact with customers at home. Today, even though the MCO is no longer in existence, online shopping behaviours have become a new norm because of a long-term impact on the interactions between seller and buyer. Since the number of online marketing is growing, sellers must understand the concept of viral marketing that suits their products. This study analyses the virality of contemporary snack marketing on the Instagram platform using the Susceptible-Infected-Recovery (SIR) model. It is essential for sellers or marketers who want to see how users react to various types of posting. It also makes it easier for customers to get the information from the postings. The parameters used in this model are the number of followers, number of reached users, and number of homepage visits. Data are collected from 14 July 2021 until 11 October 2021 at an Instagram account that promotes a type of chocolate-in-jar snack. There are three types of posting that the admin of the Instagram account frequently uses to gain customer interaction, which are Feed, Reels, and Stories. The most viral posting from each type is observed. The results reveal among the viral posts, Reels recorded the highest virality Â posted on 11 September 2021 (Saturday).","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"12 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":"126733442","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}

引用次数: 0

Goal Programming Approach For Frozen Food Production Planning 冷冻食品生产计划的目标规划方法

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.316

A. Mahat, Nurwahyu Mohd Zaki, Teoh Yeong Kin, H. Hasmy, Nur Intan Syafinaz Ahmad

引用次数: 0

Solving the Travelling Salesman Problem by Using Artificial Bee Colony Algorithm 用人工蜂群算法求解旅行商问题

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.295

Siti Hafawati Jamaluddin, Noor Ainul Hayati Mohd Naziri, Norwaziah Mahmud, Nur Syuhada Muhammat Pazil

引用次数: 0

Analysis of the Performance Measures of a Non-Markovian Fuzzy Queue via Fuzzy Laplace Transforms Method 基于模糊拉普拉斯变换的非马尔可夫模糊队列性能度量分析

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.323

Baudouin Adia Leti Mawa, Rostin Mabela Makengo Matendo, Jean Pierre Mukeba Kanyinda, Bopatriciat BOLUMA MANGATA

{"title":"Analysis of the Performance Measures of a Non-Markovian Fuzzy Queue via Fuzzy Laplace Transforms Method","authors":"Baudouin Adia Leti Mawa, Rostin Mabela Makengo Matendo, Jean Pierre Mukeba Kanyinda, Bopatriciat BOLUMA MANGATA","doi":"10.24191/jcrinn.v7i2.323","DOIUrl":"https://doi.org/10.24191/jcrinn.v7i2.323","url":null,"abstract":"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.","PeriodicalId":190835,"journal":{"name":"Journal of Computing Research and Innovation","volume":"42 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":"132792964","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}

引用次数: 0

Determining the Criteria of Choosing Tour Packages in Langkawi Island Using FAHP 利用FAHP确定兰卡威旅游套餐的选择标准

Journal of Computing Research and Innovation Pub Date : 2022-09-30 DOI: 10.24191/jcrinn.v7i2.330

Ku Auni Dalili Ku Zahrin, Huda Zuhrah Ab Halim, Mohd Fazril Izhar Mohd Idris, Nur Fatihah Fauzi, N. S. Ahmad Bakhtiar, N. I. Khairudin

引用次数: 0