1) The document presented a project proposal on developing an identification and collaboration system for Meliponine species, commonly known as stingless bees. 2) The system aims to help users identify Meliponine species through uploaded images and provide a way for experts and users to share information. 3) It involves designing identification and collaboration frameworks, developing prototypes, and evaluating the system.

1. Date of Presentation: 28 September 2017
Name: Viishnu A/L Rajaram and Meegeaten a/l Sellamuthu
Student ID: 1141327345 & 1141327351
Supervisor: Dr. Nor’ain Mohd Yusoff
Moderator: Mr. Khairi Shazwan Dollmat

2. Dr. Nor’ain Mohd Yusoff
Faculty of Computing and Informatics
http://mmuexpert.mmu.edu.my/norainyusoff

3. • Introduction
• Project Overview
• Problem Statement
• Project Objectives
• Research Motivations
• Research Methodology
• Project Scope
• Literature Reviews
• Proposed Solutions
• Design & Implementation Plan
• Research Highlight
• References
• Prototype Demo
• Q & A Session

4. Kelulut
• Promotes greater independence by allowing people to
perform tasks that they were formerly unable to achieve
Assistive
• Stingless bees scientifically known as Meliponine, they
do not sting but will defend by biting
Purpose
• Currently, Meliponine species has become a hot topic
in the bee industry around Malaysia.
• But the experts and bee farmers find themselves hard
to communicate frequently to share their views,
opinions and information regarding Meliponine species.
• Experts do not have effective way to spread their
knowledge about Meliponine species.

5. The project aimed to develop for both web and android platform.
It emphasizes on Meliponine Identification using the identification and
collaboration framework which helps the users to identify stingless bees and
have effective communication with other users to share their findings
regarding the Meliponine species.
This project involves 3 types users namely the administrator, expert and normal
users such as farmers, students and honey sellers.

6. Less amount of identification system that can identify Meliponine species specifically
Limited number of experts and researchers that have the knowledge regarding the
Meliponine species
The correctness of information regarding the Meliponine species is inaccurate

7. To identify the user requirements via interview
with the expert and users
To formulate the system using identification and
collaboration framework to spread knowledge
regarding Meliponine species
To evaluate the system framework from the
feedback gained of the developed prototype
To construct and develop a prototype system
from system framework

8. Conducting an interview session and reviewing
existing systems to elicit user requirements
A proposed system framework generated by
using Use Case, UML, DFD, Sequence, Class
diagrams
Construction of prototype using Java, Php, Html
,MySql, phpMyAdmin
Improve the system framework with potential
users by distributing questionnaires once the
prototype is tested

9. • To help the users to identify Meliponine species
specifically
• To spread the knowledge of Meliponine species
among the users with the correct information
• To provide the information in a simple and
understandable manner

10. Meliponine is a tribe of stingless
bee with their natural distribution
is estimated to be around 32
species throughout Malaysia by
(Shuib, 2014).
Recently, Kelulut honey known
as branded Malaysian superfood
for upcoming trend
(theSun,2016)
Users can identify the bee
species via the given
identification algorithm
It allows the users especially
young generation to locate the
location of the identified stingless
bees in Malaysia
SCOPE

11. STRATEGIES
Veg Pest ID:
Divides different
kind of insects
according the
type of crops
they feed on.
Insect Orders:
Allows the users
to search a
specific insect by
filtering the
features of the
insect
PestXpert:
Classifies
insects
according to
their own type
for example
ants, bed bugs,
beetles and
cockroaches.
Bug Count ID:
Classified insects
into groups
according to the
number of legs they
have.
Forest Insect:
Classifies the
pests according to
their own type like
beetles, true bugs,
sawflies, and
moths.
Assitive Kelulut Id:
Allows user to
search for the
Meliponine
information
according to the
species and type
of genus.
Mardi Kelulut:
Kelulut bees are
classified
according to their
species and
genus. Allows
users to watch
video

12. Application Existing
Item Name
Main/Standard Function Insect
Orders
Veg Pest
ID
Bugs
Count
PestXpert Forest
Insect
Assistive
Kelulut ID
Mardi Kelulut
Offline Mode
      
Uploading and
Downloading
   
Testing IQ

Browser Integration
 
Unique Function
Capture Picture
 
Map Integration

Identify Captured Image
Requirement/
Support
Information Corrective
   
Integrated Database
      
Information Sharing

Information Based Video

13. The Great British Bee
Count: Provide unique
and interactive web
pages with beautiful and
crystal clear bee
images.
Bumblebee Conversation
Trust: Offers social activities
such as volunteering and
joining events that can help in
educating and conserving the
bee species.
Buzzaboutbees: Has
some fun quizzes each
time visitor browse pages
that helps them to gain
knowledge about bees.
Bumblebeewatch:
Promotes uploading and
identifying bee species with
mapping details.
Marine species
identification: Provides
specific classification for
each of the marine
species chosen following
the kingdom and
taxonomy.
Leaf identification:
Interactive web pages with
specific details describing
scientific name, common
name and their habitat.
IMSB Portal: Allows
user to search for the
Meliponine information
according to the
species and type of
genus.

14. Application Existing
Item Name
Main/Standard Function Great British
Count
Marine
ID
Leaf
ID
Conversation Trust Buzzaboutbees Bumblebees IMSB Portal
Offline Mode
Uploading and Downloading
   
Mobile Integration
Unique Function
Search Function
 
Map Integration
 
Identification of Image
  
Requirement/
Support
Information Corrective
   
Integrated Database
      
Information Sharing
   

15. Application and
website that
focuses on both
identification and
collaboration
framework
Uploaded
images will be
identified using
proposed
algorithm
Expert then
verify those
images validity
Verification
further done by
scale
measurement
(body size, leg,
etc) in website
Interactive map
to allow users
identify bee
location

16. Functional Requirement
• Access Remotely
• Login function
• Mapping using Google
Maps
• Upload and share
pictures/information
• Search Information
• High quality images for
users
• Quiz Section (Android)
• Measurement Scale
(Web)
Non-Functional
Requirement
• Efficiency
• User Friendly
• Maintainability
• Reliability
• Compatibility

23. 1. User Login
2. Search Information
3. Take Quiz
4. Upload Quiz (Expert)
5. User Profile
6. Admin Access
7. Expert Access

32. Week Milestones Due date Task Description
1 Project Plan 3 July – 9 July (1 week)  Project was planned
 Consulted with supervisor on how to approach the
project and identify the requirements
2 Background Study 10 July – 16 July (1 week)  Surveyed the market and website for existing stingless
bee identification system
 Explored and reviewed the existing applications
3 Information Gathering 17 July – 30 July (2
weeks)
 Explored for information online, studied journals and
conducted interview with expert
5 Requirements 31 July – 20 August
(3 weeks)
 Draft for system requirements
 Draw diagrams

33. 8 First draft of report 21 August – 27 August
(1 Week)
 Information is fully gathered
 Report is draft
9 Interface Design 28 August – 17
September (3
weeks)
 Prototype was designed
12 Report Submission 18 September – 24
September (1 week)
 Report is finalized and submitted
13 Presentation 25 September – 8
October (2 weeks)
 Project was presented

35. Week Milestones Due date Task Description
1 Design Implementation (2 weeks)  Overall design pages will be created
 Developing mainpage for login authentication
2 Implement Identification
Framework
(2 weeks)  Implement the identification algorithm
 Database will be implemented into the system
3 Implement Collaboration
Framework
(2 weeks)  Implement the framework that allows user to share
information
 Implementing mapping function
4 Implement Overall System (2 weeks)  Implement functional and non-functional requirements

36. 5 Testing and Debugging (1 Week)  System components will be tested individually
 Overall system will be tested
6 System Completion (2 weeks)  System will be finalized completely
7 Final Report Submission (1 week)  Report will be finalized and submitted
8 Presentation (2 weeks)  System will be presented

38. • Establishing requirements
• Developing alternatives
• Prototyping
• Evaluating

40. • Ahmad Nazreen, K. (2016). Assistive Kelulut ID: Identification
Framework. 1-91
• Nor Syafeenaz, M. (2015). Indo-Malayan Stingless Bees (Meliponine)
Species Identification Portal (IMSB). 1-166
• Shuib, A. H. (2014). Conservation of Stingless Bees Through Beescape
(Landscaping for Bees). 220-229
• Malaysia to develop standard for kelulut honey. (n.d.). Retrieved
September 26, 2017, from http://www.thesundaily.my/news/1976442
• Alias, I. (2015, Mei 1). asas-penternakan-lebah-kelulut.html. Retrieved
from www.kelablebahkelulut.com:
http://www.kelablebahkelulut.com/2015/03/asas-penternakan-lebah-
kelulut.html

41. Try and feel the prototype here: https://viishnuraaj.proto.io/player/?id=b9d0a4b9-
087c-4c19-8e68-5764604d78d4
Email: rajz1712@gmail.com
Password: rajz881127

42. • Feel free to view our prototype here:
https://bkmeegea95.wixsite.com/kelulut
• Email: kelulut@yahoo.com
• Password: abc123

43. Q & A Session

44. <rajz1712@gmail.com>
<Viishnu Raaj A/L Rajaram>
<meegeaten16@gmail.com>
<Meegeaten a/l Sellamuthu>