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Pertemuan 10Mata Kuliah Enterprise Application Development
Social Mobile LearningExample of Enterprise Mobility Application
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Why ?
DIGITAL LEARNING
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Digital Learning 2.0
PersuasiveInteractive
“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
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What Challenges ?
SUMBER : CONNECTED ARCHITECTURE FOR CONNECTED PLANETBY LAWRENCE WILKEShttp://java.sys-con.com/node/2553964
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How to Develop ?
Anywhere, Anytime Longlife Learning Sharing & Discussion
Collaborative Competition & Development
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Benefit
Complement &
Supplement
Student’s Progress
Enhanced the Quality
Knowledge Disseminatio
n
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Research Road Map
2012Core
Functional Feature Mobile
Learning(User profile,
Courses, online Quiz, multimedia streaming,
online exam, chatting)
2013Enterorise
Social Software and Architecture Enhancement
(grouping, group
controlling, collaboration, content type
support) enrichment e.g flash,
video, presentation
slide)
2014Cross 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, messaging,
content sharing,
podcasting, social network,
mobile conference,
dan mashup)
2015 ....
Know2lege Management and Collective Intelligence
media library, search engine,
intelligent web, dan analyzing
space
Yuen Steve C. “Collective Intelligence and E-Learning 2.0. Creating Futures Through Technology Pre-Conference”. Biloxi, Mississippi. March 3, 2010.
Web 1.5
Web 2.0
Web 2.0
Web 3.0
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The Next Generation of Digital Learning Architecture
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Current System Architecture
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
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Proposed System Architecture
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M-Learning View (Java ME)
Halaman Home Halaman Nilai Halaman Daftar Mata Kuliah
Halaman Daftar bab per mata kuliah
Video content Static content Online Quiz and exam
Task Assignment
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M-Learning View (Android)
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E-Learning View (Java EE)
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Student
Join
request
University Groups(IT Telkom Bandung)
Approval fromUniversity Administrator
(adminittel)
1. Join a University Group
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2. Join a Departement Group
University Groups(IT Telkom Bandung) Departement
Groups(Information System)
Join
request
StudentApproval from
Departement Administrator(kaprodiittsi)
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3. Open a Content
Departement Groups(Information System IT Telkom)
Lecturer
Open /
createStudent
Uploaded
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4. Collaboration
Subject
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5. Take a Quiz
Departement Groups(Information System IT Telkom)
Open
Student
Lecturer
Question Bank
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6. Student’s Progress
Departement Groups(Information System IT Telkom)
Open
Student
Lecturer
System
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Skenario Pengujian
Pengujian :1. Pengujian pertama menggunakan
single tier
2. Pengujian kedua menggunakan multi tier (masing-masing tier menggunakan 2GB)
3. Pengujian ketiga menggunakan multi tier (masing-masing tier menggunakan 4GB)
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Lingkungan Pengujian
Performansi jaringan dalam keadaan stabil dan jaringan hanya digunakan untuk proses pengujian saja
Mesin (tier) yang diuji hanya menjalankan service application server.
JMeter direstart setiap pengujian
Mesin menggunakan OS windows server 2008 64 bit
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Response Time in Presentation Tier
50 100 150 200 250 300 350 400 450 500 550 600 650 700 7500
50
100
150
200
250
300
350
400
Response Time Presentation
Single Tier 2GBMulti tier 2 GBMulti tier 4 GB
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Throughput in Presentation Tier
100 200 300 400 500 600 700 8000
50
100
150
200
250
300
350
400
450
Throughput
Single Tier 16GBMulti Tier 2GBMulti Tier 4 Gb
thro
ghpu
t / s
ec
User
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Kesimpulan Pengujian di Presentation Tier
Hasil response time multi tier lebih baik dibandingkan single tier.
Single tier hanya mampu menangani beban sebanyak 400 user
Multi tier hanya mampu menangani beban sebanyak 450 user.
Dalam pengujian saat ini, kapasitas memory tidak menunjukkan perbedaan hasil yang signifikan.
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Response Time in Web Service Tier
50 100 150 200 250 300 350 400 450 500 550 600 650 700 7500
2000
4000
6000
8000
10000
12000
14000
ResponseTime Web Service
Single Tier 2GBMulti Tier 2GB
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Throughput in Web Service Tier
100 200 300 400 500 600 700 80027
28
29
30
31
32
33
34
Throughput Web Service
Single Tier 16GBMulti Tier 2GB
thro
ghpu
t / se
c
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Kesimpulan Pengujian diWeb Service Tier
Web service masih memerlukan perbaikan lagi, jika dilihat dari grafik response yang selalu naik menunjukkan pola yang jelek.
Pengujian berhenti sampai multi tier menggunakan memory 2 GB
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CSD Researcher on Mobile Learning
Architect : Seno Adi Putra Amelia Kurniawati Adityas Widjajarto
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 Debby Yulianti
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Enterprise Mobility :Put CSD Courses All Together