Demo Aplikasi Tugas Akhir | Willy Adistyan - 202043502704 | Universitas Indrapasta PGRI

Willy Adistyan

30 Jul 202412:19

Summary

TLDRThis video presents a demo of a final project application, a web-based expert system designed to identify learning styles in teenagers using the forward chaining method. The creator, Will Disistian, introduces the system built with PHP and MySQL, showcasing its features, including user identification, learning style assessment, and personalized results. The system also includes an admin panel for managing data, questions, and learning style categories, offering a comprehensive tool for educational assessment.

Takeaways

😀 The presenter introduces their final project, a web-based expert system for identifying learning styles in teenagers using the forward chaining method.
👤 The presenter's name is Will Disistian, with an NPM (student ID) of 202043502704, and they are from the Department of Computer Science and Engineering at the Faculty of Engineering and Computer Science.
💻 The system is built using PHP as the programming language and MySQL as the database, with additional tools like Bootstrap for the interface and Storyset for illustrations.
🌐 The system is accessible through a web browser by entering a local host URL, indicating it's a local development environment.
📚 The system includes educational content about learning styles, specifically the Visual, Auditory, and Kinesthetic (VAK) model, and the benefits of understanding one's learning style.
🔍 Users are guided through a process of identification by answering a series of questions that align with their personality and learning preferences.
📊 After completing the identification process, users receive a report detailing their dominant learning style, such as Auditory in the presenter's case, with a percentage indicating dominance.
🖨 The results can be printed, providing a tangible record of the learning style identification.
🔑 A unique code is generated for each identification result, allowing users to retrieve their results later if needed.
🛠️ The system includes an admin panel for managing the system's content, including questions, learning style categories, and user identification results.
🔒 The admin panel requires a login, ensuring that only authorized personnel can make changes to the system's data.
🗂️ The admin panel provides functionalities for adding, editing, and deleting questions, as well as managing user identification results and generating reports.

Q & A

What is the title of the final project discussed in the video?
-The title of the final project is 'Design of an Expert System for Identifying Learning Styles in Adolescents Using Forward Chaining Method Based on Web'.
Who is the presenter of the video?
-The presenter of the video is Will Disistian with the NPM (Nomor Pokok Mahasiswa) 202043502704.
What faculty and program is the presenter from?
-The presenter is from the Faculty of Engineering and Computer Science, majoring in Information Technology.
What programming language and database were used to develop the web-based expert system?
-The programming language used is PHP, and MySQL is used as the database for the web-based expert system.
What are the four main menu options on the homepage of the expert system?
-The four main menu options are Home, Identification, Information, and About.
What does the 'Learn' button on the homepage direct users to?
-The 'Learn' button directs users to an information page that discusses learning styles, including the VAK (Visual, Auditory, Kinesthetic) model.
What is the purpose of the 'Start' button on the homepage?
-The 'Start' button leads users to the Identification page where they can begin the process of identifying their learning style.
What is required before starting the learning style identification process?
-Before starting the identification process, users must read the guide and check a box indicating they have understood the instructions.
What happens when the 'See Results' button is clicked after completing the identification form?
-After clicking the 'See Results' button, users are presented with the results of their learning style identification, including a percentage breakdown of their dominant learning style.
How can users find their past learning style identification results?
-Users can find their past results by entering a 6-digit code on the 'Search Identification Results' page, which they previously copied from their identification result page.
What administrative features are available on the admin dashboard?
-The admin dashboard includes a dashboard with total identification statistics, a results section for viewing and printing detailed identification results, a questions section for managing the identification questions and answers, and a learning styles section for viewing and editing learning style data.
How can an administrator delete multiple identification results at once?
-An administrator can select multiple identification results and then click the 'Delete Selection' button to remove them all at once.
What is the function of the 'Profile' and 'Change Password' options in the admin menu?
-The 'Profile' option allows the administrator to view and edit their account details, while the 'Change Password' option allows them to update their login password.
How does the presenter conclude the video demonstration?
-The presenter concludes the video by apologizing for any shortcomings in the presentation and expressing gratitude, ending with traditional Islamic greetings.

Outlines

00:00

🎓 Introduction to the Final Project Demo

This paragraph introduces the presenter's final project, an expert system designed to identify learning styles among teenagers using the forward chaining method on a web-based platform. The presenter, identified by their name and student ID, hails from the Department of Computer Science and Information Technology. The system is built using PHP as the programming language and MySQL as the database, with additional tools such as Bootstrap for the user interface and Storyset for illustrations. The presenter guides the audience through the initial steps of accessing the web application, explaining the layout and functionality of the home page, including menus and buttons for starting the learning style identification process.

05:02

🔍 Exploring the Learning Style Identification Process

The second paragraph delves into the actual process of identifying a user's learning style. It describes the information page that provides an overview of learning styles, including the VAK (Visual, Auditory, Kinesthetic) model, and the benefits of understanding one's learning style. The presenter then demonstrates how to start the identification process, which involves filling out a form with personal data and answering a series of questions based on one's personality traits. After completion, the system provides a result, identifying the dominant learning style, in this case, Auditory, with a detailed explanation and the option to print the results.

10:03

📊 Admin Panel Features and User Data Management

The final paragraph showcases the administrative side of the application, where the presenter demonstrates logging into the admin panel and navigating through various features. The admin dashboard displays statistics and graphs about the identifications done, including age, gender, and learning style distribution. The admin can view, print, and manage user identification results, search for specific users, apply filters to the data, and delete selected records. Additionally, the admin can manage questions used in the identification process, add new questions, and edit or delete existing ones. The paragraph concludes with the admin profile settings, including the ability to change the password and logout functionality.

Mindmap

Keywords

💡Expert System

An expert system is a computer program that uses artificial intelligence to simulate the decision-making ability of a human expert in a specific domain. In the context of the video, the expert system is designed to identify learning styles among teenagers. It uses a forward chaining method to make inferences based on the input data provided by the users, which is a core component of the video's demonstration.

💡Learning Style

A learning style refers to the preferred way in which an individual learns and processes information. The video discusses different learning styles, such as Visual, Auditory, and Kinesthetic, which are essential for the expert system to identify. Understanding one's learning style can significantly improve educational outcomes, and the video's application is designed to help teenagers discover their dominant learning style.

💡Forward Chaining

Forward chaining is a rule-based reasoning technique used in expert systems where the system starts with known facts and applies rules to derive new conclusions. In the video, forward chaining is the method by which the expert system identifies the learning style of the user. It begins with the user's responses to a set of questions and then applies predefined rules to determine the user's learning style.

💡Web-based System

A web-based system is an application that is accessed over the internet, typically through a web browser. The video's theme revolves around a web-based expert system for learning style identification. This system is built using PHP and MySQL, allowing users to access it from any location with an internet connection, emphasizing the convenience and accessibility of web-based applications.

💡PHP

PHP, which stands for Hypertext Preprocessor, is a widely-used open-source server-side scripting language. In the video, PHP is the programming language used to develop the backend of the expert system. It handles the logic, data processing, and interactions between the user and the system, showcasing its role in building dynamic web applications.

💡MySQL

MySQL is an open-source relational database management system that is used to store, manage, and retrieve data. In the context of the video, MySQL serves as the database for the expert system, storing user data and results of the learning style identification process. It is integral to the system's functionality, ensuring data is organized and readily accessible.

💡Bootstrap

Bootstrap is a popular front-end framework for developing responsive and mobile-first websites. The video mentions Bootstrap being used to create the user interface of the expert system. It helps in designing the layout and appearance of the web application, making it visually appealing and user-friendly.

💡Identify Learning Style

The process of identifying a learning style involves assessing an individual's preferences for absorbing and engaging with information. In the video, this is the primary function of the expert system. Users are guided through a series of questions, and their responses are used to determine their dominant learning style, which is a key aspect of the system's utility.

💡Visual, Auditory, Kinesthetic (VAK)

VAK is an acronym for Visual, Auditory, and Kinesthetic learning styles, which are the three main modalities through which individuals process information. The video discusses these styles in the context of the expert system's capabilities. Understanding one's VAK preferences can help tailor educational approaches to suit individual needs, which is the goal of the system demonstrated in the video.

💡Admin Panel

An admin panel is a section of a web application that allows administrators to manage the system's content and users. In the video, the admin panel is shown as a part of the expert system, where administrators can view reports, manage user data, and control the system's settings. It is a critical component for maintaining and overseeing the operation of the web-based application.

💡Data Handling

Data handling refers to the processes involved in managing data within a system, including collecting, storing, and processing it. The video script mentions data handling in the context of the expert system's functionality, where user responses are collected, processed to identify learning styles, and stored in the database. Effective data handling is essential for the system's accuracy and reliability.

Highlights

Introduction of the final project presentation on designing an expert system for identifying learning styles in teenagers using forward chaining method.

The presenter, Will Disistian, introduces themselves with their NPM and faculty details.

The expert system is web-based, utilizing PHP as the programming language and MySQL as the database.

The system features a user-friendly interface with a welcome message and a brief explanation of learning styles.

The system includes four main menus: Home, Identification, Information, and About.

A 'Start Learning' button directs users to an information page about learning styles, including VAK (Visual, Auditory, Kinesthetic) model.

The 'Learn More' page provides a brief definition of each learning style and the benefits of understanding one's learning style.

The 'Start' button leads to an identification page where users must read and understand the guidelines before proceeding.

Users are required to fill out a personal data form before beginning the identification process.

The identification process involves answering a series of questions based on one's personality traits.

Upon completion, users can view the results of their learning style identification, which includes a percentage breakdown.

Results can be printed or saved as a report, including the user's name, date, and learning style description.

A unique code is provided for users to retrieve their identification results at a later time.

The system includes an admin panel for managing identification results, user data, and system questions.

Admins can view statistics such as the total number of identifications done, age distribution, gender, and learning style counts.

Admins have the ability to search, filter, and delete user data, as well as manage questions and learning style categories.

The system allows for the addition and modification of questions, as well as the ability to edit learning style descriptions.

Admins can also change their profile information and log out from the system.

The presenter concludes the demo with an apology for any shortcomings in the presentation and thanks the audience.