This slide describes the development of mobile social learning system as a part of social e-Learning system. The research leverages Java Android technology as a platform on the mobile device and Java EE as a platform on server. Multitier architecture and RESTFUL web service are also implemented in this research as an important consideration to provide high performance system. To test system performance, The research used JMeter as a tool to identify system capability such as response time and throughput.

1. Enhancement of Learning Management System Featuring
Mobile Learning and Interactive Multimedia Content

2. Persuasive
Interactive
“Learning is Generating Content and
Communicating with People” -Yuen
Steve C 2010
“The Future of e-Learning is Social
Learning” – Jane Hart 2009
“The Future of e-Learning: A Shift
to Knowledge Networking and
Social Software” – Chatti 2007

3. COURTESY : CONNECTEDARCHITECTURE FOR CONNECTED PLANET
BY LAWRENCEWILKES
http://java.sys-con.com/node/2553964

4. 2012
Core Functional
Feature Mobile
Learning
(User profile,
Courses, online
Quiz,
multimedia
streaming,
online exam,
chatting)
2013
Enterorise Social
Software and
Architecture
Enhancement
(grouping, group
controlling,
collaboration, content
type support)
enrichment e.g flash,
video, presentation
slide)
2014
Cross Plaform,
Advanced Enterorise
Social Software and
Architecture Enhancement
(learning space terdiri dari
personal space (RSS
Feed, e-Portfolio, dan
personal
blog), collaboration and
communication space
(course blog, course
wiki, bookmarking, messag
ing, content
sharing, podcasting, social
network, mobile
conference, dan mashup)
2015 ....
Know2lege
Management and
Collective
Intelligence
media library, search
engine, intelligent
web, dan analyzing
space
Courtesy :Yuen Steve C. “Collective Intelligence and E-Learning 2.0. Creating FuturesThrough
Technology Pre-Conference”. Biloxi, Mississippi. March 3, 2010.
Web 1.5 Web 2.0 Web 2.0 Web 3.0

6. Server
SQL Server 2008 Enterprise Edition
Service Tier
Glassfish 3.0
Presentation Tier
Glassfish 3.0
Business Tier
Glassfish 3.0
File Server
Apache Web Server
komputer PC
Android Smartphone
Mobile Lerning

7. courtesy : Patterns for Building High Performance Applications
ByTechSpot.
http://java.sys-con.com/node/2116436

8.  Java Enterprise Edition 6
 Struts Framework
 Enterprise Java Bean 3.1 and JPA
 GlassFish 3.1
 RestfulWeb Service
 ApacheWeb Server
 Micorosft SQL Server
 Android

9. Halaman Home Halaman Nilai Halaman Daftar Mata
Kuliah
Halaman Daftar bab per
mata kuliah
Video content Static content Online Quiz and exam TaskAssignment

12. Student
Join
request
Approval from
University Administrator
(adminittel)

13. Join
request
Student
Approval from
Departement Administrator
(kaprodiittsi)

14. Lecturer
Open /
create
Student
Uploaded

16. Open
Student
Lecturer
Question Bank

17. Open
Student
Lecturer
System

18. 1. FirstTest Implements single tier Architecture.
PresentationTier, BusinessTier, and DataTier
are placed on same machine.
2. SecondTest Implements multitier Architecture.
Each tier is placed on different machine with
2GB and 4GB RAM respectively
3. Windows 2008 Server 64 Bit is used as server
platform in each virtualized machine
4. JMeter is used as a tool for load test

19. 0
50
100
150
200
250
300
350
400
50 100 150 200 250 300 350 400 450 500 550 600 650 700 750
Response Time Presentation
Single Tier 2GB
Multi tier 2 GB
Multi tier 4 GB

20. 0
50
100
150
200
250
300
350
400
450
100 200 300 400 500 600 700 800
throghput/sec
Throughput
Single Tier 16GB
Multi Tier 2GB
Multi Tier 4 Gb
User

21. 0
2000
4000
6000
8000
10000
12000
14000
50 100 150 200 250 300 350 400 450 500 550 600 650 700 750
ResponseTime Web Service
Single Tier 2GB
Multi Tier 2GB

22. 27
28
29
30
31
32
33
34
100 200 300 400 500 600 700 800
throghput/sec
Throughput Web Service
Single Tier 16GB
Multi Tier 2GB

23.  Architect :
 Seno Adi Putra
 Amelia Kurniawati
 AdityasWidjajarto
 System Developer :
 Giovanni Anggasta
 Kartiko Edhi
 Devita Ike
 Content Developer :
 Nanda Novita Dewi
 Anisyah Surya
 Putri Nurdelvitasari
 Betty
 Niki Ananda P
 Margaretha M
 Simon Frans
 Hornop
 DebbyYulianti