CARA MENGGUNAKAN NVIVO : INPUT DATA, CODING, DAN VISUALISASI DATA KUALITATIF

PJKR B 2019 UNNES

28 Jun 202110:39

Summary

TLDRIn this tutorial, Dinanda Wicahyani explains how to use MVP for data input, coding, and data visualization. The process starts with importing various types of files, including videos, PDFs, and Word documents. She then demonstrates how to organize files into categories and create code using notes. The tutorial also covers coding qualitative data, including images, and highlights methods to visualize data using project maps and associations for easier understanding. The presentation concludes with tips on enhancing the clarity of data visualization for better readability.

Takeaways

📁 The video explains how to use the MVP software to input data effectively.
🖱️ To input data, users must click on the 'File' option in the top left corner and choose the data they want to import, such as images or videos.
📑 Users can import a wide range of file types, including Word, audio, video, and Excel files into the platform.
🗂️ It's helpful to organize files into folders such as 'images,' 'videos,' and 'materials' to make them easier to find later.
📝 The second task discussed is coding, where users create codes and link them to specific files, such as categorizing students based on disabilities like 'tunagrahita' (intellectual disability).
🔗 The video highlights how to connect files to relevant categories, making it easier to analyze and navigate the data.
📊 Users are also shown how to code different materials (e.g., images) by right-clicking and assigning codes within the system.
🖼️ The process of dragging and dropping images into the platform and coding them is explained in detail, showing how to manage visual data.
🧠 The speaker discusses how to visualize qualitative data using mind maps, project maps, and concept maps within the software.
✅ The final takeaway encourages users to adjust visual representations for better readability and concludes the presentation with a polite closing.

Q & A

What is the first task mentioned in the video?
-The first task is to input data into the system by importing a file, such as video, audio, Word documents, or Excel files.
How can a user import a file into the system as shown in the video?
-The user should click 'File' in the upper left corner, select the desired file (e.g., Word, video, etc.), and then import it into the system.
What is suggested to help organize files for quicker access?
-It is suggested to group similar files by creating folders for different types of content such as images, documents, and videos, making it easier to locate them later.
What does the user need to do after importing the file?
-After importing the file, the user can edit it if necessary and proceed to organize it within appropriate categories or folders.
What is the second task described in the video?
-The second task is coding, where the user needs to assign codes to the data and classify different elements for better understanding.
How is the coding process started in the system?
-To start coding, the user should click 'Node' in the system, right-click to create a new node, name it, and then associate it with the corresponding data or file.
How are references managed during the coding process?
-References are created when coding multiple elements, and the system tracks how many references are made to each file or data point. The number of references depends on the amount of information coded from different sources.
What example is given for coding in the video?
-An example provided is coding for a student with intellectual disabilities (Tunagrahita). The user selects a file, creates a node for 'Tunagrahita', and associates related data and references.
How does the system handle images during the coding process?
-To code images, the user selects the image, drags it into the system, and can edit or add details such as inserting rows and annotating the image.
What feature is used to visualize qualitative data as explained in the video?
-The 'Project Map' feature is used to visualize qualitative data, allowing users to create visual associations between different nodes, data points, or concepts.

Outlines

00:00

📄 Introduction and Data Input Process

In this paragraph, Dinanda Wicahyani introduces herself and her role in explaining the steps to use MVP (Most Valuable Player) for a school project. She begins by explaining how to input data using the software, highlighting the importance of the 'File' section in the top-left corner. Users can import various types of files such as Word, Excel, and video formats. She demonstrates the process of selecting and importing a file, particularly focusing on data related to students with intellectual disabilities (tunagrahita). The paragraph also covers tips on organizing files for quicker access, such as grouping them by type (e.g., images, videos).

05:03

💻 Coding and File Organization

This paragraph explains the coding process in MVP, with a focus on managing and categorizing data files efficiently. Dinanda explains how to create coding nodes and references different types of files, particularly related to students with disabilities. She demonstrates how to code data for a student with intellectual disabilities, drag and drop relevant files into appropriate categories, and create a folder system to keep different file types organized. The paragraph emphasizes the ease of retrieving and coding data when files are grouped logically, particularly when coding using PDF documents.

10:04

📊 Visualizing and Summarizing Data

Dinanda shifts focus to data visualization in this final paragraph, explaining how to create visual representations such as project maps and concept maps in MVP. She demonstrates how to use the 'Project Map' feature by inputting notes and coding items such as images and text references related to students with disabilities. The process involves displaying associations between different coded elements, which can be customized for better readability. The paragraph ends with Dinanda's closing remarks, thanking the audience and requesting forgiveness for any mistakes made during the presentation.

Mindmap

Keywords

💡MVP

MVP refers to 'Most Valuable Player' in general, but in this video, it likely refers to a software feature or platform being demonstrated. The presenter discusses how to use MVP to input data and organize files, making it an important concept in understanding how the software functions as a data management tool.

💡Input Data

Input Data is the process of entering or importing data into a system. In the video, the speaker explains how to input different types of data, such as files, videos, and images, into the software platform. This step is essential for managing and categorizing information efficiently within the software.

💡Tunagrahita

Tunagrahita is a term used in Indonesia to refer to individuals with intellectual disabilities. In the context of the video, the presenter inputs data related to 'Tunagrahita' students, explaining how to categorize and manage such information within the software. This shows the software's use in educational or specialized contexts.

💡File Classification

File Classification refers to the process of organizing files into different categories or folders for easier access. In the video, the presenter explains how users can create folders for different types of files like images, videos, and documents, improving file management and retrieval in the software.

💡Coding

Coding, in this video, refers to the process of assigning specific codes or labels to data, not necessarily programming. The speaker explains how coding is used to categorize different types of content, such as information about 'Tunagrahita' students, into specific folders or categories within the software.

💡Drag-and-Drop

Drag-and-Drop is a common computer action used to move files or data by clicking, holding, and moving them to a new location. In the video, the speaker explains how users can drag and drop files such as images or videos into folders within the software for easier organization.

💡Visualize Data

Visualizing Data refers to representing data in a visual format, such as graphs or maps, for easier interpretation. In the video, the speaker demonstrates how users can use the software's features like 'mind maps' and 'project maps' to visualize qualitative data and better understand relationships between different items.

💡References

References are the sources or files linked to a particular piece of data or code. In the video, the presenter discusses how references are connected to different files when organizing and coding data. For example, if the same PDF is used twice, the references count will increase, showing the connection between data points.

💡Explore

Explore is a feature in the software that allows users to navigate through their data or projects. The speaker shows how users can access different views, such as 'mind maps' and 'project maps', to explore the relationships between different data points, enhancing their understanding of the project.

💡Project Map

Project Map is a visualization tool within the software that shows the relationships between different data items or categories. In the video, the speaker creates a project map for students with intellectual disabilities, linking images and codes to specific categories, making it easier to see how different types of data are connected.

Highlights

Introduction by Dinanda Wicahyani explaining the purpose of the video and its focus on using the MVP interface.

Step-by-step instructions on how to import data files, including options to import from Word, audio, video, and Excel files.

Explanation on how to structure imported files into folders for better organization, e.g., grouping images, documents, and videos.

Detailed guidance on coding data within the MVP interface, using a case example of categorizing files related to 'tunagrahita' (a specific educational category).

Emphasis on naming conventions and folder structure to streamline data coding and retrieval.

Example provided on linking categories (e.g., 'ABK 2003' linked to 'tunagrahita') using nodes for visual organization.

Instructions on adding multimedia elements such as images into the project structure, utilizing the drag-and-drop feature.

Explaining how to use the ‘Insert row’ and ‘Region’ features to embed and structure multimedia content within the project.

Steps for creating visual summaries and project maps, including methods for linking project items and their associations.

Illustration of using the 'Project Map' for visualizing relationships between different categories and data items.

Tips on adjusting the layout of visual maps for improved readability, showing options for displaying different data associations.

Walkthrough of the 'Show Associations' feature to highlight links between nodes and project categories.

Explanation of how to visually represent qualitative data, making it easier to analyze complex relationships.

Recommendation for organizing different types of qualitative data, such as creating separate folders for text, images, and videos.

Concluding remarks and a reminder to review the entire coding and visualization process for consistency and clarity.