4 research outputs found

    Marketplace Apps for e-Nelayan Kota Samarahan

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    Fishermen are one of the most essential part of a society where they supply fresh seafood to be consumed by other part of society such as customer. Most of these fishermen, mainly in Kota Samarahan still practices traditional trading method where they sell their fish at place such as fish market, door to door and others. As we know, our country, Malaysia has reach modernisation in parallel with other developed countries. Almost every member of the society has widely used mobile devices such as a smartphone. The most dominant part of mobile devices is a mobile application. So, this project will introduce a mobile app which allows the fishermen to sell their fish directly to the consumer. The fishermen will be able to advertise their fish or other types of seafood products in the mobile app

    e-Nelayan the Fishery Marketplace App

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    Smartphones have become an essential device that not only actsas a communication media, but it is also able to assist its user to do multiple tasks. A fisherman is an example of a community member that usesa smartphone. If a smartphone is fully utilised, it can be a huge help for the fishermen to sell their catch and fishery products. However, there is no proper medium, such as anmobile application,for this group of people to sell their catch. Hence, the e-Nelayan Marketplace App is introduced. This app enables the fishermen mainly in Kota Samarahan to sell their catch and other fishery products moreeffectively. The functionalities of this app include the ability to advertise the catch and let customersand fishmongersknow the type of fish being sold. In addition, an interactive graphical user interfacewas designed to display the output of each functional module. In order to evaluate the user acceptance towards the app, several tests were conducted, such as the performance, portability, compatibility, and usability testing. With the development of this project, it is hoped that the application willbenefit not only fishermen but also customers and fishmongers

    e-Nelayan the Fishery Marketplace App

    Get PDF
    Smartphones have become an essential device that not only acts as a communication media, but it is also able to assist its user to do multiple tasks. A fisherman is an example of a community member that uses a smartphone. If a smartphone is fully utilised, it can be a huge help for the fishermen to sell their catch and fishery products. However, there is no proper medium, such as an mobile application, for this group of people to sell their catch. Hence, the e-Nelayan Marketplace App is introduced. This app enables the fishermen mainly in Kota Samarahan to sell their catch and other fishery products more effectively. The functionalities of this app include the ability to advertise the catch and let customers and fishmongers know the type of fish being sold. In addition, an interactive graphical user interface was designed to display the output of each functional module. In order to evaluate the user acceptance towards the app, several tests were conducted, such as the performance, portability, compatibility, and usability testing. With the development of this project, it is hoped that the application will benefit not only fishermen but also customers and fishmongers

    Visualisation of User Stories to UML Model: A Systematic Literature Review

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    The usage of Agile methodology in software development project is growing rapidly among industry professionals and academia. Unified Modelling Language (UML) conventionally accompanied Agile software development to model the software requirements. The user story is fundamental and should be identified to communicate the basic requirements between the development team and the stakeholders before the UML model such as the use case diagram, class diagrams, and many others can be designed. However, there are several challenges associated with this process such as poorly organised user stories, natural language complexity, and high time consumption to create them. A systematic literature review (SLR) is conducted to grasp more knowledge about the utilisation of Natural Language Processing (NLP) for UML model generation. A total of 198 papers were initially found in four online databases which are Scopus, IEEE Xplore, ScienceDirect, and ACM Digital Library from the year 2018 until 2022. After removing duplicates, applying inclusion and exclusion criteria, and conducting the full-text assessment, only 20 papers are included as the primary studies. The primary studies are reviewed to discover several important pieces of information which are the challenges of designing UML models, NLP tools and techniques used to generate UML models, UML models generated, and validation methods used for measuring the accuracy of generated models. Finally, this study discusses important elements related to the UML model generation with the utilisation of NLP tools and technique
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