LEARNING STYLE SUGGESTION SYSTEM

BASED ON IQ AND EQ USING

DECISION TREE ALGORITHM

MUHAMMAD FAIZ BIN MOHD ZAID

BACHELOR OF COMPUTER SCIENCE

(SOFTWARE DEVELOPMENT)

FACULTY OF INFORMATICS AND COMPUTING

UNIVERSITI SULTAN ZAINAL ABIDIN

2017

i

DECLARATION

I hereby declare that this report is based on my original work except for quotations and citations,

which have been duly acknowledged. I also declare that it has not been previously or concurrently

submitted for any other degree at Universiti Sultan Zainal Abidin or other institutions.

________________________________

Name: ..................................................

Date: ..................................................

ii

CONFIRMATION

This project report titled LEARNING STYLE SUGGESTION SYSTEM BASED ON IQ AND

EQ USING DECISION TREE ALGORITHM was prepared and submitted by MUHAMMAD

FAIZ BIN MOHD ZAID (matric number: BTAL15039894) and has been found satisfactory in

terms of scope, quality, and presentation as partial fulfilment of requirement for the Bachelor

of Computer Science (Software Development) in Universiti Sultan Zainal Abidin.

________________________________

Name : ..................................................

Date : ..................................................

iii

DEDICATION

Alhamdulillah, all praise and thanks to Allah the Most Gracious and the Most Merciful for

giving me the opportunity to complete my final year project entitle. This project was prepared

to complete the undergraduate program in Bachelor of Computer Science (software

development).

I would like to take this opportunity to express my deepest gratitude to my supervisor, Dr.

Nurnadiah Binti Zamri for her supervision and kindness and motivation towards this project. I

was to be proud to be supervised under his guidance and invaluable.

I would also like to extend my sincere thanks to all lectures in Faculty of Informatics and

Computing for their cooperation, valuable information and guidance throughout my years at

the faculty and the university.

Last but not least, thanks to friends for valuable contribution and support.

Finally, I wish to thank to my parents and my family for their constant support and

encouragement through my study. May Allah bless all of you.

iv

Contents CHAPTER 1 ........................................................................................................................................... 1

PROJECT INTRODUCTION ......................................................................................................... 1

1.1 INTRODUCTION ............................................................................................................. 1

1.2 PROJECT BACKGROUND ............................................................................................ 2

1.3 PROBLEM STATEMENT .............................................................................................. 3

1.4 OBJECTIVES ................................................................................................................... 4

1.5 SCOPE ............................................................................................................................... 5

1.6 LIMITATION OF WORK ............................................................................................... 6

CHAPTER 2 .......................................................................................................................................... 7

LITERATURE REVIEW ................................................................................................................ 7

2.1 INTRODUCTION ............................................................................................................. 7

2.2 AN EXPERT SYSTEM FOR DIAGNOSIS OF HUMAN DISEASES ........................ 8

2.3 STUDENTS PERFORMANCE PREDICTION USING DECISION TREE TECHNIQUE ................. 9

2.4 A FUZZY EXPERT SYSTEM FOR HEART DISEASE DIAGNOSIS ..................... 10

2.5 COMPARISON OF LITERATURE REVIEW ........................................................... 11

2.6 SUMMARY ..................................................................................................................... 14

CHAPTER 3 ........................................................................................................................................ 15

METHODOLOGY ......................................................................................................................... 15

3.1 INTRODUCTION ........................................................................................................... 15

3.2 WATERFALL MODEL DESIGN ................................................................................ 16

3.3 THE SEQUENTIAL PHASES IN WATERFALL MODELS are: ............................ 17

3.4 Waterfall Model Application ......................................................................................... 19

3.5 Waterfall Model Pros and Cons .................................................................................... 20

3.6 SYSTEM REQUIREMENT ........................................................................................... 21

Table 3.6.1 Hardware Requirement .......................................................................................... 21

Table 3.6.2 Software Requirement ............................................................................................ 22

3.7 CONTEXT DIAGRAM .................................................................................................. 23

3.8 DATA FLOW DIAGRAM ................................................................................................... 24

3.9 Entity Relational Diagram ................................................................................................... 29

3.10 Framework ...................................................................................................................... 35

3.11 GRAPHICAL USER INTERFACE .............................................................................. 37

CHAPTER 4 ........................................................................................................................................ 49

SOLUTION OF COMPLEXITY .................................................................................................. 49

4.1 Implementation decision tree algorithm in the system ................................................ 49

4.2 Application of Decision Tree Algorithm Based On 3 Questions ................................. 49

v

4.3 Expected Result ............................................................................................................... 50

CONCLUSION ................................................................................................................................... 51

REFERENCES .................................................................................................................................... 52

vi

LIST OF TABLES

TABLE TITLE PAGE

2.5 Comparison of Literature Review 11-13

3.6.1 Hardware Requirement 21

3.6.2 Software Requirement 22

4.3 Expected Result 50

vii

LIST OF FIGURES

FIGURE TITLE PAGE

3.2 Waterfall Model Design 16

3.7 Context Diagram Design 23

3.8 Data Flow Diagram 24

3.8.1 DFD Level 1: Manage Admin 25

3.8.2 DFD Level 1: Manage Recommendation 26

3.8.3 DFD Level 1: Manage Question 27

3.8.4 DFD Level 1: Manage User 28

3.9 Entity Relationship Diagram 29

3.9.1.1 Data Table Admin 31

3.9.1.2 Data Table Student 31

3.9.1.3 Data Table USERLog 32

3.9.1.4 Data Table Recommendation 32

3.9.1.5 Data Table Question 33

3.9.1.6 Data Table Answer 33

3.9.1.7 Data Table Score 34

viii

LIST OF ABBREVIATIONS / TERMS / SYMBOLS

CD Context Diagram

DFD Data Flow Diagram

ERD Entity Relationship Diagram

FYP Final year project

ix

ABSTRACT

Human brain is an intricate organ. The brain is well known as the command central of all you

think, do and feel. The brain basically, consist of two halves, or hemispheres. Within each half,

particular regions control certain functions. So, are you right-brained or left brained? It is a

popular question, hovering at the edges of sound neuroscience. The left brain or most known

as EQ is supposed to be more creative and artistic, the right brain or most known as IQ more

organized and logical. This system is basically to propose in assisting students to analyse their

brain level of thinking and the ways they use their brain whether they are more using their

brains toward the left or side of the brain. Traditionally, the existing system only do calculation

of the survey and as for the result, it only gives a percentage which side of the brain the user

used more and it does not cover all aspects. The system basically does not provide more detail

or information based on the user’s result. Here, we propose a system that allow users to test

their Emotional quotient(EQ) or Intelligence quotient(IQ) by conducting the survey and the

questioners where the user needs to answer it. The answer then will be processed and calculated

for the results. The system also will provide the style, technique and appropriate learning

method based on the result. This is to help the student to determine the way and the learning

style so they can improve their quality of study and acts as guidance. This system will apply

decision tree algorithm to calculate and process the data to generate the result. Decision tree

algorithm is the suitable way in some study and research especially, to result analysis of

students’ score for the purpose of improving the teaching quality.

x

ABSTRAK

Otak manusia adalah organ rumit. Otak terkenal sebagai pusat perintah semua yang anda

fikirkan, lakukan dan rasakan. Otak pada asasnya terdiri daripada dua bahagian, atau

hemisfera. Dalam setiap separuh, kawasan tertentu mengawal fungsi tertentu. Jadi, adakah

anda betul-betul haus atau dibiarkan dirasakan? Ini adalah persoalan yang popular, berlegar

di tepi neurosains bunyi. Otak kiri atau yang paling dikenali sebagai EQ sepatutnya menjadi

lebih kreatif dan artistik, otak kanan atau yang paling dikenali sebagai IQ lebih teratur dan

logik. Sistem ini pada asasnya mencadangkan untuk membantu pelajar untuk menganalisis

tahap pemikiran otak mereka dan cara mereka menggunakan otak mereka sama ada mereka

lebih menggunakan otak mereka ke kiri atau sisi otak. Secara tradisinya, sistem yang ada

hanya melakukan pengiraan kaji selidik dan sebagai hasilnya, ia hanya memberikan peratusan

di mana otak pengguna lebih banyak digunakan dan ia tidak meliputi semua aspek. Sistem

pada dasarnya tidak memberikan lebih banyak maklumat atau maklumat berdasarkan hasil

pengguna. Di sini, kami mencadangkan satu sistem yang membolehkan pengguna menguji

kuantum emosi (EQ) atau kecerdasan kecerdasan (IQ) dengan menjalankan tinjauan dan

pertanyaan yang pengguna perlu menjawabnya. Jawapannya kemudian akan diproses dan

dikira untuk hasilnya. Sistem ini juga akan menyediakan gaya, teknik dan kaedah

pembelajaran yang sesuai berdasarkan hasilnya. Ini adalah untuk membantu pelajar

menentukan cara dan gaya pembelajaran supaya mereka dapat meningkatkan kualiti

pembelajaran dan bertindak sebagai panduan. Sistem ini akan menggunakan algoritma pokok

keputusan untuk mengira dan memproses data untuk menghasilkan keputusan. Algoritma

pokok keputusan adalah cara yang sesuai dalam beberapa kajian dan penyelidikan

terutamanya, untuk menghasilkan analisis skor pelajar untuk tujuan meningkatkan kualiti

pengajaran.

1

CHAPTER 1

PROJECT INTRODUCTION

1.1 INTRODUCTION

This section is the introduction to the report for the system. It will provide basic

overview of the whole system. This chapter will explain about the project background,

problem statements, objectives and project scope. Background of the system discuss

about basic information for the system, while problem statement will discuss about

related issues of the system. Objectives will state all main goal of this system. The scope

will show who are using the system and what the user and system can do.

This system is developed to make easy to user to store the data, easy to fill the

form and get the result immediately. The user also can see the information about IQ

and EQ and the solution for every result after finish answering the question.

2

1.2 PROJECT BACKGROUND

The brain is well known as the command central of all you think, do and feel.

The brain basically, consist of two halves, or hemispheres. Within each half, particular

regions control certain functions which is left brained person referring as EQ (emotional

quotient) is defined as an individual's ability to identify, evaluate, control, and

express emotions. People with high EQ usually make great leaders and team players

because of their ability to understand, empathize, and connect with the people around

them. On the other hand, right brained person or IQ (intelligence quotient) is score

derived from one of several standardized tests designed to assess an individual's

intelligence.

By using this theory, the system is proposed to analysed and make the prediction

in detection of EQ and IQ of the student. The aim is to help the student to determine

the way and the learning style so they can improve their quality of study and acts as

guidance based on the EQ and IQ result. The system will display the percentage of each

of the EQ and IQ, and by this result, this system will provide some suggestion for the

user to follow and as a guide.

At the calculation and decision making, decision tree algorithm will be applied

to generated the precisely outcome based on the result and score accumulated. decision

tree is basically the tool in decision support that uses tree-like graph or model of

decisions and their possible consequences.

https://www.diffen.com/difference/Category:Emotionshttps://www.diffen.com/difference/Empathy_vs_Sympathy

3

1.3 PROBLEM STATEMENT

There is no existence or specific system in helping students to provide or giving

the guide of learning style based on the IQ and EQ of each students since each brain

referring to different style, this will make each individual especially students need to

have their own style of study method to help them improve the way they learn. If exist,

the system lack of features such as provide the details of each IQ and EQ results and

provide the description of what is the best learning style for the student based of the

result.

4

1.4 OBJECTIVES

The main objective of this project is to develop a system that can provide the

style, technique and appropriate learning method for the student to help them

improve their study based on IQ or EQ. In order to achieve the above stated aim,

the objectives of this project are as follow:

1) To analyse current problem in ways of student perform their study.

2) To design a systematic system that consider EQ and IQ of the student

by using the weighted sum method.

3) To stimulate the propose system with the real cases.

5

1.5 SCOPE

The scope of this project is identified to make the system development process easier.

It will be explained about the user(student) and admin(counsellor) that will use this

system and what function will involves in this system.

1. Admin(counsellor)

• Able to Register/Login as admin

• Able to add question

• Able to delete question

• Able to manage score

• Able to view user result

2. User(student)

• Able to register/login as user

• Able to answer the question

• Able to view own result

• Able to view recommendation

6

1.6 LIMITATION OF WORK

There are several limitations:

• The system involves only counsellor as admin and student as user.

• the system only covers on IQ and EQ, other than this, system cannot diagnose.

• The method that will be used is only focus on decision tree algorithm only.

7

CHAPTER 2

LITERATURE REVIEW

2.1 INTRODUCTION

Research is an important aspect where a study is carried out to obtain the

information related to the system being developed. When the study is conducted, the

concept for the system will develop can be identified. In addition, through theories and

concepts related to the development projects will be thoroughly applied the idea in the

developing the system.

This research, examining all the available information related to the project. All

the information obtained is important to make comparisons on a system to be

developed. This chapter also describes the differences between the manual systems with

the systems used by the other parties after a detailed study was made of the existing

system.

8

2.2 AN EXPERT SYSTEM FOR DIAGNOSIS OF HUMAN DISEASES

A Diagnosis expert system (DExS) can help a great deal in identifying those diseases

and describing methods of treatment to be carried out taking into account the user

capability in order to deal and interact with expert system easily and clearly. Present

expert system uses inference rules and plays an important role that will provide

certain methods of diagnosis for treatment.

The data and knowledge of DExS are collected from different sources. The first

primary source is the medical knowledge of expert doctors. The second source is from

specialized databases, books and a few electronic websites.

The proposed system is rule-based system and makes inferences with symbols, which

require translation of a diseases specific knowledge in the standard symbolic form. In

the first phase, the medical background of diseases is recorded through the creation of

personal interview with doctors and patients. In the second phase, a set of rules is

created where each rule contains in IF part that has the symptoms and in THEN part

that has the disease that should be realized.

One important aspect of automated diagnosis is the accompanying explanation for the

conclusion, a factor that is important for user acceptance. A trained expert would

evaluate the quality of the diagnosis performed by the system, followed by adjustment

of the utilities.

9

2.3 STUDENTS PERFORMANCE PREDICTION USING DECISION TREE

TECHNIQUE

In this research, the paper has been focused classification techniques which are

used to analyse performance by the scope of knowledge. Giving the details about the

results, and the specific needs of studies to improvement, such as the accompaniment

of students along their learning process, and the taking of timely decisions in order to

prevent academic risk and desertion. Lastly, some recommendations and thoughts are

laid out for the future development of performance.

In this study measures the student performance by using data mining technique

like classification, decision tree algorithm using to build the classifier model on base

on dataset composed of responses of students to courses evaluation questions. The

major objective of the proposed methodology is to build the classification model that

classifies a students’ performance. The classifiers, has been built by combining the

Standard for Data Mining that includes student performance and finally application of

data mining techniques which is classification in present study.

In other words, using this Decision tree algorithm, it able to guide student

towards achievement of good score. Tree-based methods classify instances by sorting

the instances down the tree from the root to some leaf node, which provides the

classification of a particular instance. Each node in the tree specifies a test of some

attribute of the instance and each branch descending from that node corresponds to one

of the possible values for this attribute.

10

2.4 A FUZZY EXPERT SYSTEM FOR HEART DISEASE DIAGNOSIS

Nowadays the use of computer technology in the fields of medicine area

diagnosis, treatment of illnesses and patient pursuit has highly increased. Despite the

fact that these fields, in which the computers are used, have very high complexity and

uncertainty and the use of intelligent systems such as fuzzy logic, artificial neural

network and genetic algorithm have been developed.

Having so many factors to analyze to diagnose the heart disease of a patient

makes the physician’s job difficult. So, experts require an accurate tool that considering

these risk factors and show certain result in uncertain term. Motivated by the need of

such an important tool, in this study, we designed an expert system to diagnose the heart

disease. The designed expert system based on Fuzzy Logic.

Fuzzy Expert System for Heart Disease Diagnosis designed with follow

membership functions, input variables, output variables and rule base. Designed system

has been tested with expert-doctor. Designing of this system with fuzzy base in

comparison with classic designed improves results. Results have been shown from this

system in compression with past time system are logical and more efficient.

11

2.5 COMPARISON OF LITERATURE REVIEW

Author/year Title Method Description Advantages

P. Santosh

Kumar patra,

Dipti Prava

Sahu Indrajit

Mandal,

(2010),

(Volume 1-

NO.13)

An Expert

System for

Diagnosis

of Human

Diseases

Rule base It is about

diagnose human

disease by expert

system. In the

research, the

system is

proposed to

dealing with the

problem of a

disease diagnosis.

The diagnose

can be done

precisely by

applying rule to

every expected

input.

Dr. Anjali B

Raut, Ms.

Ankita A

Nichat, (2017),

(Volume 13-

NO 7).

Students

Performance

Prediction

Using Decision

Tree Technique

Decision Tree In this research,

the paper has

been focused

classification

techniques which

are used to

analyse

performance by

the scope of

knowledge.

Giving the details

This research

can improve

student

performance by

Predicting

student

performance in

a specific

subject based

on their

performance of

12

about the results,

and the specific

needs of studies

to improvement,

such as the

accompaniment

of students along

their learning

process, and the

taking of timely

decisions in order

to prevent

academic risk and

desertion.

test result

components

during the

performance by

applying the

C4.5 decision

tree.

Ali. Adeli,

Mehdi. Neshat,

(2010),

(Volume 1).

A Fuzzy Expert

System for

Heart Disease

Diagnosis

Fuzzy In the research,

the fuzzy expert

system is

proposed to help

the expert since

they need an

accurate tool that

considering these

risk

This fuzzy

expert system

that deals with

diagnosis has

been

implemented

and

experimental

results showed

that this

13

factors and show

certain result in

uncertain term.

system did

quite better than

non-expert

urologist and

about

94 % as a well

as the expert

did.

14

2.6 SUMMARY

In this chapter, from what have been explain on the above page, hopefully this

chapter would provide an overview regarding the concept of the system, based on the

study that has been made it show that literature review is one of the important part in

the research or study of the new idea has been study or not. Literature review is

important to ensure that there is no repeated study other same topic that has been done

before.

15

CHAPTER 3

METHODOLOGY

3.1 INTRODUCTION

The methodology is a way that used to be standard guidelines that must be followed

and it describes a set of activities required to concerns expressed in the project development

life cycle. The selection of a systematic methodology and meets the needs of the project will

be able to produce systems that are easy to maintain.

The methodology chosen for this project is Waterfall Model. The Waterfall Model was

first Process Model to be introduced. is also referred as a linear-sequential life cycle model. It

is very simple to understand and use. In a waterfall model, each phase must be completed

before the next phase can begin and overlapping in the phases.

Waterfall model is the earliest SDLC approach that was used for software development.

The waterfall Model illustrates the software development process in a linear sequential flow,

hence it is also referred a linear-sequential model. This means that any phase in the

development process begins only if the previous phase is complete. In waterfall model phases

do not overlap.

16

In order to produce a complete system, systematic, easy to understand and meet the

characteristics required, we have followed all the proper planning and can be implemented

property. Microsoft Office Project Professional 2010 is used to build the System Design

Proposal (Gantt chart) However, this system was developed using Notepad++ as a editor,

Xampp and MySQL for the database.

3.2 WATERFALL MODEL DESIGN

Waterfall approach was first SDLC model to be used widely in Software Engineering

to ensure success of the project. In “The Waterfall” approach, the whole process of software

development is divided into separate phases. In waterfall model, typically the outcome of one

phase acts as the input for the next phase sequentially.

Figure 3.2 Waterfall Model

17

3.3 THE SEQUENTIAL PHASES IN WATERFALL MODELS are:

• Requirement Gathering and Analysis:

All possible requirements of the system to be developed are captured in this phase and

documented in a requirement specification doc.

• System Design:

The requirement specifications from first phase are studied this phase and system

design is prepared system Design helps in specifying hardware and system

requirements and also helps in defining overall system architecture.

• Implementation:

with inputs from system design, the system is first developed in small programs cased

units, which are integrated in the next phase. Each unit is developed and tested for its

functionality which is referred to as Unit Testing. Information has been gathered and

the design has been created. The system is using PHP language. It also using method

Weighted sum model for calculation and divide the level.

18

• Integration and Testing:

After implementation phase, module is tested by using unit testing to test the single

module of the system. Then, the integration testing is conducted to test the integrated

modules. After that system testing is conducted to test for error of the whole system.

Any errors or bugs will be fixed and the system will repeat the testing phase until there

are none of errors and bugs are found Then, after testing is finished, the first version of

the system is released.

• Deployment of system:

After all modules free from any error or bugs, the system will be released and users

able use the system. Once the system is in steady state, it is reviewed that the system

meets all the requirements in the project plan for satisfactory results.

• Maintenance:

In maintenance phase, if there are some issues which come up in the user environment.

Patches are released to fix those issues, also to enhance the product some better versions

are released Maintenance is done to deliver these changes in the user environment

system able to meet all requirements.

All these phases are cascaded to each other in which progress is seen as flowing steadily

downwards like a waterfall through the phases. The next phase is started only after the defined

set of goals are achieved for previous phase and it is signed off, so the name “Waterfall Model”.

In this model phases do not overlap.

19

3.4 Waterfall Model Application

Every software developed is different and requires a suitable SDLC approach to be followed

based on the internal and external factors. Some situations where the use of waterfall model is

most appropriate are:

• Requirements are very well documented.

• clear and fixed. Product definition is stable.

• Technology is understood and is not dynamic.

• There are no ambiguous requirements.

• Ample resources with required expertise are available to support the product.

• The project is short.

20

3.5 Waterfall Model Pros and Cons

• Advantage

The advantage of waterfall development is that it allows for departmentalization and

control. A schedule can be set with deadlines for each stage of development and a

product can proceed through the development process model phases one by one.

Development moves from concept, through design, implementation, testing,

installation, troubleshooting, and ends up at operation and maintenance. Each phase of

development proceeds in strict order.

• Disadvantage

The disadvantage of waterfall development is that it does not allow for much reflection

or revision. Once an application is in the testing stage, it is very difficult to go back and

change something that was not well documented or thought upon in the concept stage.

21

3.6 SYSTEM REQUIREMENT

Hardware and software is an important component in the development of the system.

Hardware and Software specifications should be identified and designated to ensure the system

can be used without conflict, either in terms of hardware and software. Table 3.6.1 and table

3.6.2 show the hardware and software used to build the system.

Table 3.6.1 Hardware Requirement

NO Type of Hardware Description

1 Processor Intel core i5-5500U

2 Memory(RAM) 4GB DDR3L

3 Storage Seagate hard drive 500gb

4 Operating System Microsoft Windows 10

5 Printer Canon Pixma 280

6 Pendrive Kingston 8gb USB

22

Table 3.6.2 Software Requirement

NO Type of Software Description

1 Xampp XAMPP stands for Cross-Platform (X), Apache (A),

MariaDB (M), PHP (P) and Perl (P). It is a simple,

lightweight Apache distribution that makes it

extremely easy for developers to create a local web

server for testing and deployment purposes.

2. Notepad++ Notepad++ is a text editor and source code editor for

use with Microsoft Windows. It supports tabbed

editing, which allows working with multiple open files

in a single window. It is essential as for HTML and

PHP editor

3. Microsoft Word 2016 Microsoft word user for word processing, such as

creating and editing the document involve in develop

the system

4. Clickcharts flowchart diagramming software to easily draw

flowcharts and map out a visual representation of a data

flow or other process.

23

3.7 CONTEXT DIAGRAM

Figure 3.7 Context Diagram for System

24

3.8 DATA FLOW DIAGRAM

DFD level 0

Figure 3.8 Data Flow Diagram For System

25

DFD LEVEL 1

MANAGE ADMIN PROCESS

Figure 3.8.1 DFD LEVEL 1: Manage Admin Process

26

MANAGE RECOMMENDATION PROCESS

Figure 3.8.2. DFD LEVEL 1: Manage Recommendation Process

27

MANAGE QUESTION PROCESS

Figure 3.8.3. DFD LEVEL 1: Manage Question Process

28

MANAGE USER PROCESS

Figure 3.8.4. DFD LEVEL 1: Manage user Process

29

3.9 Entity Relational Diagram

Figure 3.9 Entity Relationship Diagram for System

30

3.9.1 Data Dictionary

Table List:

1. Table Admin

2. Table Student

3. Table Userlog

4. Table Recommendation

5. Table Question

6. Table Answer

7. Table Score

31

3.9.1.1 TABLE ADMIN

Figure 3.9.1.1

Figure 3.9.1.1 shows the Admin table that consists of 4 attributes. The attributes are

ADMIN_id, Admin_email, Admin_name and Admin_gender. The primary key for this table

is ADMIN_id and foreign key is Admin_id.

3.9.1.2 TABLE STUDENT

Figure 3.9.1.2

Figure 3.9.1.2 shows the Student table that consists of 5 attributes. The attributes are

Student_id, Student_email, Student_name and Student_gender and Student_dob. The primary

key for this table is Student_id and foreign key is Student_id.

32

3.9.1.3 TABLE USERLog

Figure 3.9.1.3

Figure 3.9.1.2 shows the USERLog table that consists of 2 attributes. The attributes are

USER_username and USER_password. The primary key for this table is User_username.

3.9.1.4 TABLE RECOMMENDATION

Figure 3.9.1.4

Figure 3.9.1.4 shows the Recommendation table that consists of 5 attributes. The attributes are

REC_id, REC_type, REC_DESC, REC_DESC2, REC_DESC3. The primary key for this table

is REC_id.

33

3.9.1.5 TABLE QUESTION

Figure 3.9.1.5

Figure 3.9.1.5 shows the Question table that consists of 6 attributes. The attributes are Q_id,

Q_desc, Q_category, Q_false, Q_true. The primary key for this table is Q _id and the foreign

key for this table is Admin_id.

3.9.1.6 TABLE ANSWER

Figure 3.9.1.6

Figure 3.9.1.6 shows the Answer table that consists of 6 attributes. The attributes are Ans_id,

Ans_date, Ans_value, Ques_id, Std_id, Score_id. The primary key for this table is Ans _id and

the foreign key for this table are Ans_id, Std_id and Score_id.

34

3.9.1.7 TABLE SCORE

Figure 3.9.1.7

Figure 3.9.1.7 shows the Score table that consists of 5 attributes. The attributes are Sc_id,

Sc_totalscore, Sc_percentage, std_id, rec_id. The primary key for this table is Sc_id and the

foreign key for this table are std_id and rec_id.

35

3.10 Framework

USER (Answer Question)

ADMIN (Manage Question and

Recommendation)

DATABASE

Calculate

Score

Manage

Recommendation

Manage

Admin

Answer

Question

View Result

Manage user

Manage

Question

Store

Retrieve

Figure 3.10 Framework for system

36

3.10.1 ADMIN

The process admin will involve are:

o Manage Question like store the question information and description, edit the

question or delete the question from database.

o Manage Admin like add new admin or delete the question from database.

o Manage Recommendation like store the recommendation information and

description, edit the recommendation or delete the recommendation from

database.

o View the students results from database

3.10.1 USER(STUDENT)

The process user will involve are:

o Manage user like store user profile or edit user profile from database.

o Will answer the question that had been retrieve from database and system will

calculate the data and store the data in database

o View own results and recommendation for learning style based on the result.

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3.11 GRAPHICAL USER INTERFACE

Figure 3.11.1 HOMEPAGE FOR ALL THE SYSTEM USER

38

USER GRAPHICAL INTERFACE FOR ADMIN SITE

Figure 3.11.2 LOGIN PAGE FOR ADMIN

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Figure 3.11.3 ADMIN PROFILE

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Figure 3.11.4 QUESTION PAGE FOR ADMIN

41

Figure 3.11.5 RECOMMENDATION PAGE FOR ADMIN

42

Figure 3.11.6 REPORT PAGE FOR ADMIN

43

Figure 3.11.7 ADMIN PAGE FOR ADMIN

44

USER GRAPHICAL INTERFACE FOR USER(STUDENT)

Figure 3.11.8 REGISTRATION PAGE FOR STUDENT

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Figure 3.11.9 USER PROFILE PAGE FOR STUDENT

46

Figure 3.11.10 INFORMATION PAGE FOR STUDENT

47

Figure 3.11.11 QUESTION PAGE FOR STUDENT TO ANSWER

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Figure 3.11.12 RESULT PAGE FOR USER

49

CHAPTER 4

SOLUTION OF COMPLEXITY

4.1 Implementation decision tree algorithm in the system

Decision trees have two main parts: a root node and leaf nodes

The root node is the starting point of the tree, and both root and leaf nodes contain questions

or criteria to be answered.

the question in the first node requires a "yes" or "no" answer, there will be one node for a "yes"

response, and another node for "no."

4.2 Application of Decision Tree Algorithm Based On 3 Questions

Figure 4.1 DECISION TREE DIAGRAM ON 3 QUESTIONS

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4.3 Expected Result

Expected result on 3 sample questions

Question 1 Question 2 Question 3 score result Alternate 1 Yes Yes Yes 3 IQ

Alternate 2 Yes Yes No 2 IQ

Alternate 3 Yes No Yes 2 IQ Alternate 4 Yes No No 1 EQ

Alternate 5 No Yes Yes 2 IQ Alternate 6 No Yes No 1 EQ

Alternate 7 No No Yes 1 EQ Alternate 8 No No No 0 EQ

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CONCLUSION

Development of this system need an effective and organized planning from the early stage.

Without effective planning, the time of development maybe increase. The report is fulfill all

the needed requirement for the project. This report consists of four chapter starting with project

introduction, literature review, methodology, and solution of complexity. With all the

documentation in this report is completely done, the development of the system will be proceed

on the next phase.

52

REFERENCES

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Diagnosis Of Human = Diseases. . International Journal of Computer Applications 1(13):70–

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2)Dr. Anjali B Raut, Ms. Ankita A Nichat, (2017), (Volume 13- NO 7),Students Performance

Prediction Using Decision Tree Technique, International Journal of Computational Intelligence

Research, ISSN 0973-1873 Volume 13, Number 7 (2017), pp. 1735-1741, © Research India

Publications, http://www.ripublication.com

3)Ali. Adeli, Mehdi. Neshat, (2010), (Volume 1), A Fuzzy Expert System for Heart Disease

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Scientists 2010 Vol I, IMECS2010, March 17-29, 2010, Hong Kong

4)https://medium.com/deep-math-machine-learning-ai/chapter-4-decision-trees-algorithms-

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https://medium.com/deep-math-machine-learning-ai/chapter-4-decision-trees-algorithms-b93975f7a1f1https://medium.com/deep-math-machine-learning-ai/chapter-4-decision-trees-algorithms-b93975f7a1f1https://towardsdatascience.com/decision-trees-in-machine-learning-641b9c4e8052https://www.tutorialspoint.com/sdlc/sdlc_waterfall_model.htm

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7)http://istqbexamcertification.com/what-is-waterfall-model-advantages-disadvantages-and-

when-to-use-it/

8)https://www.healthline.com/health/left-brain-vs-right-brain

9)https://www.livescience.com/32935-whats-the-difference-between-the-right-brain-and-left-

brain.html

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http://istqbexamcertification.com/what-is-waterfall-model-advantages-disadvantages-and-when-to-use-it/http://istqbexamcertification.com/what-is-waterfall-model-advantages-disadvantages-and-when-to-use-it/https://www.healthline.com/health/left-brain-vs-right-brainhttps://www.livescience.com/32935-whats-the-difference-between-the-right-brain-and-left-brain.htmlhttps://www.livescience.com/32935-whats-the-difference-between-the-right-brain-and-left-brain.htmlhttps://www.medicinenet.com/left_brain_vs_right_brain/article.htm