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2 0 1 4 In te r n a tio n a l C o n fe r e n c e o n

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(P r o c e e d in g s )

(3)

ICACSIS

2014

ONMLKJIHGFEDCBA

W e l c o m e M e s s a g e f r o m

G e n e r a l C h a i r s

On

behalf

of

the

Organizing

Committee

of

this

International

Conference

on

Advanced

Computer

Science

and

Information

Systems

2014

(ICACSIS

2014),

we would

like to extend

our warm

welcome

to

all of the presenter

and participants,

and in particular,

we would

like to express

our sincere

gratitude

to our

plenary

and invited speakers.

This

international

conference

is organized

by the

Faculty

of Computer

Science,

Universitas

Indonesia,

and

is intended

to be the first step

towards

a top

class

conference

on Computer

Science

and

Information

Systems.

We

believe

that

this

international

conference

will

give

opportunities

for

sharing

and

exchanging

original

research

ideas

and

opinions,

gaining

inspiration

for future

research,

and

broadening

knowledge

about

various

fields

in advanced

computer

science

and

information

systems,

amongst

members

of

Indonesian

research

communities,

together

with

researchers

from

Germany,

Singapore,

Thailand,

France.

Algeria.

Japan,

Malaysia,

Philippines,

United Kingdom,

Sweden,

United

States and other countries.

This

conference

focuses

on the development

of computer

science

and

information

systems.

Along

with 4 plenary

and 2 invited

speeches,

the proceedings

of this conference

contains

71

papers

which

have

been

selected

from

a total of

132 papers

from

twelve

different

countries.

These selected

papers will be presented

during the conference.

We also want to express

our sincere

appreciation

to the members

of the Program

Committee

for

their critical

review

of the submitted

papers.

as well as the Organizing

Committee

for the time

and energy

they have devoted

to editing

the proceedings

and arranging

the logistics

of holding

this conference.

We would also like to give appreciation

to the authors

who have submitted

their

excellent

works

to this conference.

Last but not least. we would

like to extend

our gratitude

to

the Ministry

of Education

of the Republic

of Indonesia.

the Rector

of Universitas

Indonesia.

Universitas

Tarumanagara.

Bogor

Agricultural

Institute.

and

the

Dean

of

the

Faculty

of

Computer

Science

for their continued

support

towards

the IC ACSIS

2014 conference.

I

1

t

i

1

t

Sincerely

yours.

G e n e r a l C h a i r s

(4)

I C A C S I S 2 0 l - !

(5)

ICACSIS 2014ONMLKJIHGFEDCBA

W e l c o m e M e s s a g e f r o m

T h e D e a n o f F a c u l t y o f C o m p u t e r S c i e n c e , U n i v e r s i t a s

I n d o n e s i a

On behalf

of all the academic

staff and students

of the Faculty

of Computer

Science,

Universitas

Indonesia,

I would

like to extend

our warmest

welcome

to

all the participants

to the Ambhara

Hotel, Jakarta

on the occasion

of the

2014

International

Conference

on

Advanced

Computer

Science

and

Information

Systems

(ICACSIS).

Just like the previous

five events

in this series (ICACSIS

2009. 20

I

0, 20 11, 2012,

and

2013).

I

am confident

that ICASIS

2014

will play an important

role in encouraging

activities

in research

and development

of computer

science

and

information

technology

in Indonesia,

and give an

excellent

opportunity

to

forge

collaborations

between

research

institutions

both

within

the

country

and with

international

partners.

The

broad

scope

of this event,

which

includes

both

theoretical

aspects

of

computer

science

and

practical,

applied

experience

of

developing

information

systems,

provides

a unique

meeting

ground

for researchers

spanning

the whole

spectrum

of our discipline.

I hope that over the next two days, some fruitful

collaborations

can be

established.

I also

hope

that the

special

attention

devoted

this year to the

field

of pervasive

computing,

including

the very

exciting

area of wireless

sensor

networks,

will

ignite

the development

of

applications

in this area to address

the various

needs of Indonesia's

development.

I would

like to express

my sincere

gratitude

to the distinguished

invited

speakers

for their

presence

and contributions

to the conference.

I also thank all the program

committee

members

for their efforts

in ensuring

a rigorous

review process

to select high quality

papers.

Finally.

I sincerely

hope that all the participants

will benefit

from the technical

contents

of this

conference.

and wish you a very successful

conference

and an enjoyable

stay in Jakarta.

Sincerely.

Mirna Adriani,

Dra, Ph.D.

Dean of the Faculty of Computer

Science

Universitas

Indonesia

(6)

I C A C S I S 2 0 1 4

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ICACSIS 2014

PERPUSTAKAAN OEPARE"EN ILMU I<OMPUTER FMIPA~NSTlTUT PERTANIAN SOGOR

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COMMITTEES

H o n o r a r y C h a ir s :

• A. Jain, IEEE Fellow, Michigan State University, US

• T. Fukuda, IEEE Fellow, Nagoya University, JP

• M. Adriani, Universitas Indonesia, ID

G e n e r a l C h a ir s :

• E. K. Budiarjo, Universitas Indonesia, ID

• D. 1. Sensuse, Universitas Indonesia, ID

• Z. A. Hasibuan, Universitas Indonesia, ID

P r o g r a m C h a ir s :

• H. B. Santoso, Universitas Indonesia, ID

• W. Jatmiko, Universitas Indonesia, ID

• A. Buono, Institut Pertanian Bogor, ID

• D. E. Herwindiati, Universitas Tarumanegara, ID

S e c t io n C h a ir s :

• K. Wastuwibowo, IEEE Indonesia Section, ID

P u b lic a t io n C h a ir s :

• A. Wibisono, Universitas Indonesia, ID

P r o g r a m Committees:

• A. Azurat, Universitas Indonesia, ID

• A. Fanar, Lembaga I1mu Pengetahuan Indonesia, ID

• A. Kistijantoro, Institut Teknologi Bandung, ID

• A. Purwarianti, Institut Teknologi Bandung, ID

• A. Nugroho, PTIK BPPT, ID

• A. Srivihok, Kasetsart University, TH

• A. Arifin Institut Teknologi Sepuluh Nopember, ID

• A. M. Arymurthy, Universitas Indonesia, ID

• A. N. Hidayanto, Universitas Indonesia, ID

• B. Wijaya, Universitas Indonesia, ID

• B. Yuwono, Universitas Indonesia, ID

• B. Hardian, Universitas Indonesia, ID

• B. Purwandari, Universitas Indonesia, ID

• B. A. Nazief, Universitas Indonesia, ID

• B. H. Widjaja, Universitas Indonesia, ID

• Denny, Universitas Indonesia, ID

• D. Jana, Computer Society of India, IN

• E. Gaura, Coventry University, UK

• E. Seo, Sungkyunkwan University, KR

• F. Gaol, IEEE Indonesia Section, ID

(8)

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ICACSIS 201-1

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• H. Manurung, Universitas Indonesia, ID

• H. Suhartanto, Universitas Indonesia, ID

• H. Sukoco, Institut Pertanian Bogor, ID

• H. Tolle, Universitas Brawijaya, ID

• 1. Budi, Universitas Indonesia, ID

• 1. Sitanggang, Institut Pertanian Bogor, ID

• 1. Wasito, Universitas Indonesia, ID

• K. Sekiyama, Nagoya University, JP

• L. Stefanus, Universitas Indonesia, ID

• Marimin, Institut Pertanian Bogor, ID

• M. T. Suarez, De La Salle University, PH

• M. Fanany, Universitas Indonesia, ID

• M. Kyas, Freie Universitat Berlin, DE

• M. Nakajima, Nagoya University, JP

• M. Widyanto, Universitas Indonesia, ID

• M. Widjaja, PTIK BPPT, ID

• N. Maulidevi, Institut Teknologi Bandung, ID

• O. Sidek, Universiti Sa ins Malaysia, MY

• O. Lawanto, Utah State University, US

• P. Hitzler, Wright State University, US

• P. Mursanto, Universitas Indonesia, ID

• S. Bressan, National University of Singapore, SG

• S. Kuswadi, Institut Teknologi Sepuluh Nopember, ID

• S. Nomura, Nagaoka University of Technology, JP

• S. Yazid, Universitas Indonesia, ID

• T. Basaruddin, Universitas Indonesia, ID

• T. Hardjono, Massachusetts Institute of Technology, US

• T. Gunawan, International Islamic University Malaysia, MY

• T. A. Masoem, Universitas Indonesia, ID

• V. Allan, Utah State University, US

• W. Chutimaskul, King Mokut's University of Technology, TH

• W. Molnar, Public Research Center Henri Tudor, LU

• W. Nugroho, Universitas Indonesia, ID

• W. Prasetya, Universiteit Utrecht, NL

• W. Sediono, International Islamic University Malaysia, MY

• W. Susilo, University of Wollongong, AU

• W. Wibowo, Universitas Indonesia, ID

• X. Li, The University of Queensland, AU

• Y. Isal, Universitas Indonesia, ID

• Y. Sucahyo, Universitas Indonesia, ID

Local Organizing Committee:

• A. Y. Utomo, Universitas Indonesia, ID

• Aprinaldi, Universitas Indonesia, ID

• D. Eka, Universitas Indonesia, ID

• E. S. Utama, Universitas Indonesia, ID

• E. Cahyaningsih, Universitas Indonesia, ID

• H. A. Wisesa, Universitas Indonesia, ID

• H. R. Sanabila, Universitas Indonesia, ID

• K. M. Kurniawan, Universitas Indonesia, ID

• M. Mega, Universitas Indonesia, ID

(9)

ICACSIS 2014

QPONMLKJIHGFEDCBA

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• M. 1. Suryani, Universitas Indonesia, ID

• M. Soleh, Universitas Indonesia, ID

• M. Pravitasari, Universitas Indonesia, ID

• N. Rahmah, Universitas Indonesia, ID

• Putut, Universitas Indonesia, ID

• R. Musfikar, Universitas Indonesia, ID

• R. Latifah, Universitas Indonesia, ID

• R. P. Rangkuti, Universitas Indonesia, ID

• V. Ayumi, Universitas Indonesia, ID

I

I i

1,,-I

(10)

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I C A C S I S 2 0 H

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---ICACSIS 2014dcbaZYXWVUTSRQPONMLKJIHGFEDCBA

__ '_C A _C _S_'S_2_0_1_4 _

CONFERENCE INFORMATION

Dates October 18th _{(Saturday) - October 19}th _{(Sunday) 2014}

Organizer Faculty of Computer Science, Universitas Indonesia

Department of Computer Science, Institut Pertanian Bogor

Faculty of Information Technology, Universitas Tarumanegara

Venue Ambhara Hotel

Jalan Iskandarsyah Raya No. 1, Jakarta Selatan, DKI Jakarta, 12160, Indonesia

Phone : +62-21-2700888

Fax: +62-21-2700215

Official language

Secretariat

Website: http://www.ambharahotel.com/

English

Faculty of Computer Science, Universitas Indonesia

Kampus UI Depok

Depok, 16424

Indonesia

T: +62 217863419 ext. 3225

F: +62 21 786 3415

E: icacsis@cs.ui.ac.id

W: http://www.cs.ui.ac.id

Conference Website http://icacsis.cs.ui.ac.id

-_._-..

_-

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ICACSIS

2014

QPONMLKJIHGFEDCBA

_ _ I C A C S I S 2 0 1 4

---

P R O G R A M

S C H E D U L E

Saturday, October 18th, 2014-CONFERENCE

Time Event

I

Event Details Rooms

08.00-09.00

Registration

Opening from the Dean of Faculty of

09.00-09.30

Opening Computer Science Universitas Indonesia/General Chair of ICACSIS

2014

.

_{Dr. Ir. Basuki Yusuf Iskandar, MA} Dirgantara

09.30:10.15

Plenary Speech I from Ministry of Communication and

Room,

2

nd _Floor

Information

10.15-10.30

Coffee Break

10.30-11.15

Prof. Dame Wendy Hall

Plenary Speech 11 from Southampton University, UK

11.15.12.30

Lunch

12.30-14.00

Parallel Session I : See Technical (Parallel Session I

Elang, Kasuari,

Four Parallel Sessions Schedule) Merak, Cendrawasih

Room, Lobby Level

14.00-15.30

Parallel Session11: S e e Technical (Parallel Session 11

Elang, Kasuari,

Room, Lobby Level

15.30-16.00

Coffee Break

16.00-17.30

Parallel Session III : See Technical (Parallel Session III

Elang, Kasuari,

17.30-19.00

Room, Lobby Level Break

19.00-22.00

Gala Dinner Dinner, accompanied by music Dirgantara Room, performance and traditional dances

2

nd _Floor

(13)

ICACSIS 2014

Sunday, October 19th, 2014-CONFERENCE

Time Event Event Details Rooms

08.00-09.00

Registration

Drs. Harry Waluyo, M.Hum

from Directorate General of Media,

09.00-10.00

Plenary Speech III Design, Science

&

Technology Based

Creative Economy Dirgantara Room,

.

2

nd_Floor

10.00-10.15

Coffee Brea k

Prof. Masatoshi Ishikawa

10.15-11.30

Plenary Speech IV from University of Tokyo, JP

11.30-12.30

Lunch

Parallel Session IV : See Technical (Parallel Session IV Elang, Kasuari,

12.30-14.00

Merak, Cendrawasih

Four Parallel Sessions Schedule)

Room, Lobby Level

Parallel Session V : See Technical (Parallel Session V Elang, Kasuari,

14.00-15.30

Merak, Cendrawasih

Four Parallel Sessions Schedule)

Room, Lobby Level

15.30-16.00

Coffee Brea k

16.00-16.30

Closing Ceremony Awards Announcement and Photo Dirgantara Room,

Session

2

nd_Floor

---

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I C A C S I S

tsrqponmlkjihgfedcbaZYXWVUTSRQPONMLKJIHGFEDCBA

2014

--- ---

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ICACSIS 201-1

ONMLKJIHGFEDCBA

T a b l e o f C o n t e n t s

Welcome

Message

from General Chairs

Welcome

Message

from Dean of Faculty of Computer

Science University

of Indonesia

III

Committees

v

Conference

Information

IX

Program Schedule

X

Table of Contents

XIII

Computer

Networks,

Architecture

&

High Performance

Computing

Multicore

Computation

of Tactical

Integration

System in the Maritime

Patrol Aircraft

using Intel Threading

Building

BlockdcbaZYXWVUTSRQPONMLKJIHGFEDCBA

M u h a m m a d F a r is F a th o n i. B a m b a n g S r id a d i

Immersive

Virtual 3D Environment

based on 499 fps Hand Gesture

Interface

7

M u h a m m a d S a k ti A lv is s a lim

Improve fault tolerance

in cell-based

evolve hardware

architecture

13

C h a n in W o n g y a i

A New Patients'

Rights Oriented

Model of EMR Access Security

19

Y B D w i S e tia n to . Y u s tin a R e tn o W U ta m i

Element Extraction

and Evaluation

of Packaging

Design using Computational

Kansei

Engineering

Approach

25

T a u fik D ja tn a . F a ja r M u n ic h p u tr a n to . N in a H a ir iy a h . E lfir a F e b r ia n i

Integrated

Information

System Specification

to Support SSTC

33

A h m a d T a m im i F a d h ila h . Y u d h o G ir i S u c a h y o . D e n n y

A Real Time Simulation

Model Of Production

System Of Glycerol

Ester With Self

Optimization

39

Iw a n A a n g S o e n a n d i. T a u fik D ja tn a

(16)

GIS-based

DSS in e-Livestock

Indonesia

81

ICACSIS 2014

Development

of University

of Indonesia

Next Generation

Firewall

Prototype

and

Access Control With Deep Packet Inspection

45

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H a r is h M u h a m m a d N a z ie f. T o n n y A d h i S a b a s tia n . A lfa n P r e s e k a l, G la d h i G u a r d d in

Reliable Data Delivery

Mechanism

on Irrigation

Monitoring

System

51

J u n a id y B u d i S a n g e r .

QPONMLKJIHGFEDCBA

H e r u S u k o c o , S a ty a n to S a p to m o

E-Government

Evaluation

on People Aspect in Knowledge

Management

System Implementation:

A

Case Study of Bank Indonesia

55

H a n d r e D u r ia n a . Id a A y u T r is n a n ty . a n d P u tu W lIr i H a n d a y a n i

Government

Knowledge

Management

System Analysis:

Case Study Badan

Kepegawaian

Negara

65

E lin C a h y a n in g s ih , S o fiy a n ti In d r ia s a r i, P in k ie A n g g ia , D a n a In d r a S e n s u s e .

W a h y u C a tu r W ib o ll'o

Shared Service in E-Government

Sector: Case Study of Implementation

in Developed

Countries

73

R a v ik a H a fiz i. S u r a y a M is k o n . A z iz a h A b d u l R a h m a n

A r ie f R a m a d h a n . D a n a In d r a S e n s u s e . M u h a m m a d O c ta v ia n o P r a ta m a . V in o

A y u m i. A n ia ti M u r n i A r y m u r th y

Influence

Of Presidential

Candidates

E-Campaign

Towards

Voters In 2014 Presidential

Election

In Republic

Of Indonesia

87

r a n i N u r h a d r y a n i. A n a n g K u r n ia . Ir s y a d S a tr ia

Information

Security

Risk Management

Planning:

A Case Study at Application

Module

of State Asset Directorate

General of State Asset Ministry

of Finance

93

S ig il P r a s e ty o . Y u d h o G ir ! S u c a h y o

Campaign

2.0:

Analysis

of Social Media Utilization

in

2014

Jakarta Legislative

Election

99

D e a n A p r ia n a R a m a d h a n

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ICACSIS 2014

Towards

Maturity

Model

for E-Government

Implementation

Based on Success

Factors

105

D a r m a w a n B a g in d a N a p itu p u lu

The Critical

Success

Factors to Develop

an Integrated

Application

of Tuna Fishing

Data Management

in

IndonesiaZYXWVUTSRQPONMLKJIHGFEDCBA

111

D e v i F itr ia n a h , N u r s id ik H e r u P r a p to n o , A c h m a d N iz a r H id a y a n to , A n ia ti M u r n i

A r y m u r th y

A Conceptual

Paper on ICT as National

Strategic

Resources

toward

National

Competitiveness}

{Basuki

Yusuf

Iskandar

and Fadhilah

Mathar

117

B a s u k i Y u s u f Is k a n d a r a n d F a d h ila h M a th a r

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E n t e r p r i s e C o m p u t i n g

Quality

Evaluation

of Airline's

E-Commerce

Website,

A Case Study of AirAsia

and

Lion Air Websites

123

F a r a h S h a fir a

QPONMLKJIHGFEDCBA

E f f e n d i. Ik a A lfin a

Hotspot Clustering

Using DBSCAN

Algorithm

and Shiny Web Framework

127

K a r lin a K h iy a r in N is a

. nalysis of Trust Presence

Within

E-Commerce

Websites:

A Study of Indonesian

E-Commerce

Websites

131

M u h a m m a d R ifk i S h ih a b . S r i W a h y u n i.A h m a d N iz a r H id a y a n to

The Impact of Customer

Knowledge

Acquisition

to Knowledge

Management

Benefits:

A Case Study in Indonesian

Banking

and Insurance

Industries

137

M u h a m m a d R ifk i S h ih a b . A je n g A n u g r a h L e s ta r i

A System

Analysis

and Design

for Sorghum

Based Nano-Composite

Film Production

143

B e lla d in i L o v e ly . T a u fik D ja tn a

Moving Towards

PCI DSS 3.0 Compliance:

A Case Study of Credit

Card Data Security

Audit in an Online

Payment

Company

149

M u h a m m a d R ifk i S h ih a b . F e b r ia n a M is d ia n ti

(18)

An Extension

of Petri Network

for Multi-Agent

System Representation

193

ICACSIS 2014

An Analysis and Design ofTraceability

In FrozenVanname

Shrimp Product based on

Digital Business Ecosystem

155dcbaZYXWVUTSRQPONMLKJIHGFEDCBA

T a u fik D ja tn a a n d A d itia G in a n ta k a

Bayesian Rough Set Model in Hybrid Kansei Engineering

for Beverage

Packaging

Design

163

A z r ifir w a n a n d T a u fik D ja tn a

Predicting

Smart Home Lighting Behaviour

from Sensors and User Input using Very

Fast Decision Tree with Kernel Density Estimation

and Improved

Laplace Correction

169

/d a B a g u s P u tu P e r a d n y a D in a ta . a n d B o b H a r d ia n

Visual Usability

Design for Mobile Application

Based On User Personality

175

R iv a A k tiv ia . T a u fik D ja tn a , a n d Y a n i N u r h a d r y a n i

Formal Method Software

Engineering

Interaction

between

users and buildings:

results of a multicreteria

analysis

181

A u d r e y B o n a a n d le a n -M a r c S a lo tti

Digital watermarking

in audio for copyright

protection

187

H e m is M u s ta p h a a n d B o u d r a a B a c h ir

P ie r r e S a u v a g e

Enhancing

Reliability

of Feature Modeling

with Transforming

Representation

into

Abstract Behavioral

Specification

(ASS)

199

QPONMLKJIHGFEDCBA

M u h a m m a d I r f a n F.a d h illa h

Making "Energy-saving

Strategies":

Using a Cue Offering

Interface

205

Y a s u ta k a K is h i. K v o k o I/o . a n d S h o g o N is h id a

Extending

V-model practices to support SRE to build Secure Web Application

211

A la A li A b d u lr a z e g

(19)

ICACSIS

2014

Social Network

Analysis

for People with Systemic

Lupus Erythematosus

using R4

Framework

217

A r in K a r lin a a n d F ir m a n A r d ia n s y a h

Experiences

Using Z2SAL

223

M a r ia U lfa h S ir e g a r . J o h n D e r r ic k . S io b h a n N o r th . a n d A n th o n y J H . S im o n s

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Relative

Density

Estimation

using Self-Organizing

Maps

231

D e n n y

Creating

Bahasa

Indonesian

- Javanese

Parallel

Corpora

Using Wikipedia

Articles

237

B a y u D is tia w a n T r is e d y a

Classification

of Campus

E-Complaint

Documents

using Directed

Acyclic

Graph

Multi-Class SYM Based on Analytic

Hierarchy

Process

245

Im a m C h o lis s o d in . M a y a K u r n ia w a ti, In d r ia ti, a n d Is s a A r w a n i

Framework

Model of Sustainable

Supply

Chain Risk for Dairy Agroindustry

Based on

Knowledge

Base

253

W in n ie S e p tia n i. M a r im in . Y e n i H e r d iy e n i. a n d L ie s b e tin i H a d itja r o k o

Physicians'

Involvement

in Social Media on Dissemination

of Health

Information

259

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I b r a h i m N a in g g o la n

A Spatial

Decision

Tree based on Topological

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Hotspot

Occurences

in Bengkalis

Riau Indonesia

265

Y a u m il M is s K h o ir iy a h . a n d Im a s S u k a e s ih S ita n g g a n g

Shallow

Parsing Natural

Language

Processing

Implementation

for Intelligent

Automatic

Customer

Service

System

271

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SMOTE-Cosine.

and Selected-SMOTE:

An Enhancement

Strategy

to

Handle

Imbalance

in Data Level

277

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Multi-Grid

Transformation

for Medical

Image Registration

323

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F a jr i K o lo

Adaptive

Information

Extraction

of Disaster Information

from Twitter

283

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Identification

and Classification

for Related Work Summarization

287

D w i H e n d r a tm o W id y a n to r o , a n d I m a d u d d in A m in

Experiments

on Keyword

List Generation

By Term Distribution

Clustering

For Social

Media Data Classification

293

W ils o n F o n d a a n d A Y lI P u r w a r ia n ti

Tourism

Recommendation

Based on Vector Space Model and Social Recommender

Using Composite

Social Media Extraction

299

H u s n u l K h o tim a h . T a u fik D ja tn a . a n d Y a n i N u r h a d r y a n i

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Document

in Indonesian-English

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using BM25

305

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311

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Hybrid Sampling

for Multiclass

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Performance

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317

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for Accreditation

of Public Junior High School in Bogor Using Spatial

Decision Tree

329

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ICACSIS 2014

Application

of Decision

Tree Classifier

for Single Nucleotide

Polymorphism

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from Next-Generation

Sequencing

Data

335

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Alternative

Feature

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from Digitized

Images of Dye Solutions

as a Model

for

Algal Bloom Remote

Sensing

341

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Iris Localization

using Gradient

Magnitude

and Fourier

Descriptor

347

S te w a r t S e n ta n o e . A n to

S

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a n d M e id y L a y o o a r i

Multiscale

Fractal

Dimension

Modelling

on Leaf Venation

Topology

Pattern

of

Indonesian

Medicinal

Plants

353

A z iz R a h m a d , Y e n i H e r d iy e n i. A g u s B u o n o , a n d S te p h a n e D o u a d y

Fuzzy C-Means

for Deforestration

Identification

Based on Remote

Sensing

Image

359

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for Simple

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SVM in Landscape

Image

365

E n d a n g P u r n a m a G ir i a n d A n ia ti M u r n i A r y m u r th y

Identification

of Single Nucleotide

Polymorphism

using Support

Vector

Machine

on

. Imbalanced

Data

371

L a ila n S a h r in a H a s ib u a n

Development

of Interaction

and Orientation

Method

in Welding

Simulator

for Welding

Training

Using Augmeneted

Reality

377

A r io S u n a r B a s k o r o . M o h a m m a d A :l\'a r A m a t, a n d R a n d y P a n g e s tu K u s w a n a

Tracking

Efficiency

Measurement

of Dynamic

Models on Geometric

Particle

Filter

using KLD-Resampling

381

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J o v a n

Nonlinearly

Weighted

Multiple

Kernel

Learning

for Time Series Forecasting

385

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Robust Discriminant

Analysis

for Classification

of Remote Sensing Data

449

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2014

Distortion

Analysis

of Hierarchical

Mixing Technique

on MPEG Surround

Standard

Ik h w a n a E lfitr i. M u m u h M u h a r a m , a n d M u h a m m a d S h o b ir in

A Comparison

of Backpropagation

and L VQ : a case study of lung sound recognition

397

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ArcPSO:

Ellipse Detection

Method using Particle Swarm Optimization

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Automatic

Fetal Organs Segmentation

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Super Pixel and Image Moment

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415

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Integration

of Smoke Dispersion

Modeling

with Earth's Surface Images

423

A . S u la im a n . M S a d ly

Performance

of Robust Two-dimensional

Principal Component

for Classification

429

D ia h E . H e r w in d ia ti. S a n i M . I s a . a n d J a n s o n H e n d r y li

Pareto Frontier Optimization

in Soccer Simulation

Using Normalized

Normal

Constraint

437

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Fully Unsupervised

Clustering

in Nonlinearly

Separable

Data Using Intelligent

Kernel

K-Means

445

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Automatic

Fetal Organs

Detection

and Approximation

In Ultrasound

Image Using

Boosting Classifier

and Hough Transform

455

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2014

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for

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in Ultrasound

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& D i s t a n c e L e a r n i n g

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E-Learning

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of Inquiry

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W a h id a h , a n d K a s iy a h M J u n u s

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Management

System

Development

with Evaluation

Method

in Lesson

Study

Activity

477

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Designing

Minahasa

Toulour

3D Animation

Movie as Part of Indonesian

e-Cultural

Heritage

and Natural

History

483

S ta n le y K a r o u w

Learning

Content

Personalization

Based on Triple-Factor

Learning

Type Approach

in

E-learning

489

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Adaptation

of Composite

E-Learning

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3D e p a r te m e n t o f C iv il a n d E n v ir o n m e n ta l E n g in e e r in g , B o g o r A g r ic u ltu r a l U n iv e r s ity

E-mail: junsanger@gmail.com.hsrkom@ipb.ac.id.saptomo@ipb.ac.id

A b s tr a c t-M o n ito r in g activity is one of

implementation of automatically irrigation system. This activity is closely related to data transmission. Wireless communication channels are not free of noise interferences. This paper proposes the development of monitoring irrigation system with a reliable data delivery mechanisms in which TCP protocol handles senders sending their data to a receiver. The research designs an irrigation system architecture consisting of main and field controllers. The main controller is a receiver as a server that designs with concurrent and connection-oriented mode. The field controller consist of gateway (Raspberry Pi) as a sender, sensor node (Arduino Leonardo), sensor and actuator. In order to ensure the design of the data delivery architecture is well defined, analysis is carried out to calculate throughput, packet loss ratio, and packet delay to verify the design. In addition, the error control features will be added to

complement these mechanisms in further research.

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I. INTRODUCTION

Irrigation is an effort to fulfill water needs of plants so that can grow optimally with the provision of additional water [2]. The water resources if used continuously will be limited so it will need to do an effort in the management of water use efficiency in agriculture. especially for irrigation so that no crisis of water resources in the future. The irrigation system is widely applied especially in Indonesia is a conventional irrigation system. In practice. it is very time-consuming and labor. Therefore. it is necessary to have an irrigation system that can create an environment that fits the needs of plants automatically. It means the system is able to provide the amount and timing of water as needed. One implementation of an automatic irrigation system is monitoring.

The monitoring activity is closely related to data transmission. The most crucial thing in data transmission is how to transmit data from one place to another place. where the data received it should be ~me to data sent. Irrigation monitoring data is Important because it will be used in the

decision-making process. This process is the further process of automatic irrigation itself, such as how to control setting of irrigation network, how to open or close the floodgates, and how much flow of water to be used so that it can conserve water usage later.

In recent years, there has been increasing demand for digital data transmission system that is efficient and reliable [6]. Currently, one of the communication channels for the transmission of digital data that has been growing very rapidly is the internet. With the internet, everyone in Indonesia and even around the world that can send data and information with each other without any constraints of time and distance. There are several interference that can cause errors in data transmission which is white noise or thermal noise, impulse noise, crosstalk, echo, jitter, distortion. and attenuation (9). Internet or other communication channels will also not free from noise interference. This situation can lead to the information received does not same to the information sent. There are many solutions that can be offered to resolve the above problem, one is to try to detect and correct errors from the data that has been damaged by noise.

At present, the development of computer technology has significant influence in human life. Many new breakthroughs that also appear to consider need for more capacity as that of the computer. One of them is microcontroller. It is a single chip computer that has the ability to be programmed for a variety of tasks aimed at the control-oriented. It will arise due to market requirements is the need of current electronic products will be smart devices to the data controller. and the development of new technology that enables very fast computation. small size and cheap. Besides of its. other breakthroughs are also mini-sized Pc.one of which is Raspberry Pi. It is a single board computer. size of a credit card and using open source Linux-based [5]. This mini-sized computer can work like a desktop computer for example create a document. process data with spreadsheets. watch movies, play games, internet, and of course can be used to write programs (coding).

. This paper is a part of our research that aims to establish ..:;, reliable data' delivery mechanism by applying error detection and correction. and setting

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ICACSIS

201--1

traffic data, so that this mechanism is expected to reduce the error rate of data delivery in monitoring irrigation systems.

11.

RELATED WORKS

Several studies related to this research to be conducted, in [15], the authors has develop an automated irrigation system using a WSN and GPRS module, the system has potential to be useful in water limited geographically isolated areas. It was found to cost effective for optimizing water resources for agricultural production. In [10]. the authors has proposed a fast mechanism for retransmission solution on TCP. The aim of this mechanism is to avoid waiting time too long. A detailed model of the ARQ protocol and TCP using standard Markov techniques is reconfigurable protocol has been developed to improve TCP over wireless [3]. The design optimization of real-time applications in wireless network with the combination of FEC and ARQ to reduce retransmission had developed [I). In [8].

authors has developed an approach to data transmission over wireless networks broadcast on ZigBee. The solutions propose to improve performance of wireless TCP [12 - 14)which involves ARQ protocol, link layer retransmission and FEe. The Authors [11] has develope an implementation, simulation and analysis of TCP with FEe. And over Rayleigh fading channel, the authors [4] has conducted experiments to compare the performance of RS code and BCH code.

Ill. RESEARCII METHOD

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A . D a ta A c q u is itio n

The data used in this study is data from soil moisture sensor.· It is shown in (Fig. I). The process of data acquisition is performed on the Arduino Leonardo using XBee then stored on the Raspberry Pi. The Arduino Leonardo using Xbee is shown in (Fig. 2). The Raspberry Pi is shown in (Fig. 3). The data of sensor node that will be used as an informational message to be sent to the receiver. The data consists of datetime, set point lower limit, set point upper limit, name of sensor. value of sensor, and actuator status and it stored in the form of a text file. Data Structure of sensor node is shown in (Fig. 4). And the architecture of data acquisition is shown in (Fig. 5).

B . D e s ig n S y s te m A r c h ite c tu r e

[image:26.546.286.512.55.632.2]

System designed consists of two parts namely main and field controller. The main controller is a server and it acts as a receiver and field controller as a sender. The Field controller consist of gateway (sender). sensor node. sensor. and actuator. The architecture is shown in (Fig. 6).

Fig. I. Sensor soil moisture

Fig. 3. Raspberry Pi

Set point Set point Name (If Value (If Actuator Datetirne Lower Upper Sensor Sensor Status

I.imit I.imit

Fig.. Data structure of sensor node

The number of gateway that use one or more than one. Gateway using Raspberry Pi. Sensor node using Arduino Leonardo and sensor used is soil moisture sensor. The protocol used for communication between sender and receiver to establish reliable data communication is TCP. It is a standard protocol communication in Internet.

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ICACSIS 2014

Xbee Series Xbee Series

2. 2

A. A.

"

Raspberry Soil Arduino Power

Pi Moisture

....

Leonardo

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Source

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-Fig. 6. The system architecture

The system architecture is designed to involve one or more than one sender to send data to receiver. It means the server must be able to handle the concurren~y that will occur, and problem of congestion and collision in data transmission.

Concurrent processing is fundamental to distributed computing and occurs in many form among machines on a single. network, many pairs of application programs can communicate concurrently. Concurrency among client programs occurs when users execute

them

On ..

multiple machines simutaneously or when a

multitasking operating system allows multiple copies to executeconcurrently on a single computer (7].

C.

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D e s ig n E r r o r C o n tr o l D a ta (F o r th e F u r th e r R e s e a r c h )

The error control of data that will be designed using the BCH code. It consist of encoding and decoding. The encoding process is a process to perform calculations of checkbit that inserted into information messages':'.:This process performed on the sender. The process steps of encoding using BCH code [6] are

form a galois field GF(2m), determining 2m - I minimal polynomial, generator polynomial is the least common multiple of multiplying all the minimal polynomial are selected, adding binary bits 0 behind of bits information message, perform binary division of the combined operation of information message and bits 0 with generator polynomial, and then the bits of information message included check bits are transmitted. And the decoding process are calculating

the value of syndrome of the received polinomial, determining error location polynomial. and determining error location numbers and correction error occurs. Error can be detected on the step calculating value of syndrome. If the residual of division operation on the information message include check bits by generator polynomial is 0 then no error occurs, and otherwise if not 0, then an error has occured.

-.

IV. EXPERIMENT AND RESULTS

There is a receiver as server and senders. Port receiver used is 20000, size of length buffer is 512.

Server running in C with command ./server,

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Port: 20000,

length buffer: 512

Waiting for incoming connection

New socket = accept()

Begin thread

Looping block size packet

End thread (closesocket(sender))

Waiting for incoming connection

and senders to send data with command .Ic1ient,

length buffer: 512

Recv(new socket, )

Send(new-socket, )

Closesoc~et(new socKet, ... )

End thread

-The test of this system is using 3 sender and the scenario: Data sent every 15 minutes, and data consist of 3 record sensor every 5 minutes. Total data that can send by sender is 96 in one day. The calculation formula is as follow in (I). The delay time sensor to sender is according to user needs.

Total data (per day) = n devices • 24 hours • (60 minutes / delay time sensor to sender)

( I )

Format of monitoring data is shown in (Fig, 7).

15:40:55 7/6/2014 300 800 1 783 OFF

15 :40: 55 7/6/2014 300 800 2 693 OFF

15:40:55 7/6/2014 300 800 _{3 ~44}OFF

Fig, 7 Monuoring data

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201-1

•

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Fig 8. Throughput transmission of monitoring data over ADSL network

Based on test results. the average of throughput monitoring data transmission all sender to receiver via ADSL network (testing network) is 41.9334 Kbps for 331 bytes of text tile. Sender I is 43.23465 Kbps, sender 2 is 41.53512 Kbps, and sender 3 is 41.03043 Kbps. The throughput is shown in (Fig. 8).

P a c k e t lo s s r a tio

Based on test result, total per sender is 96 monitoring data sent succesfully, there is no packet loss.

P a c k e t D e la y

Based on test results, the average of packet delay monitoring data transmission all sender to receiver via ADSL network is 0.034018 second for 331 bytes of text tile. It is shown in (Fig. 5). Sender I is 0.034418 second, sender 2 is 0.034206 second, and sender 3 is 0.033431 second. The delay is shown in (Fig. 9).

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Fig Q Packet dclav transnussron of monuonng data over AUSI. network

V. C07'CI.lISIO:-.l "7'J) Ft'T\'R!' WORKS

We have proposedimplementation of data delivery mechanism using TC'P protocol from one or multiple sender to receiver. For the future. we will continue to be dcv clop the delivery mechanism that will be

equipped with error detection and correction methods. For the next implementation, data sent over 3G GSM network. TCP protocol and error control features are expected to minimize. the occurrence of errors in data delivery on irrigation monitoring system.

REFERENCES

III R. El Azouzi. T. Peyre, and A. Benslimane. "Optimal design of hybrid FEClARQ schemes for real time applications in wireless" InP r o c . O f th e 2 n d AClt in te r n a tio n a l w o r k s h o p o n W ir e le s s m u ltim e d ta n e tw o r k in g a n d p e r fo r m a n c e m o d e lin g ,

New York. 2006. pp. 11-18.

[2J R. N. Reddy. Ir r ig a tio n E n g in e r r tn g . IN: GENE-TECH BooI\.S.2010.

13J C F. Chiasserini. M. Meo. "A reconfigurable protocol selling to improve TCP over wireless." IE E E T r a n s a c tio n s o n J 'e h ic u la r T e c h n o lo g y . vol. 6. pp. 1608-I620,2002.

I~I F R Lone. A Puri. S Kurnar. "Performance comparison of reed solomon code and BCH code over rayleigh fading channel. ".ln te r n a u o n a l J o u r n a l o f C o m p u te r A p p lic a tio n s .

\'01. 20. pp.23-26. 2013.

[5 J M. Richardson. S. Wallace. G e tu n g S ta r te d w ith R a s p b e r r y

QPONMLKJIHGFEDCBA

P I . US: O· Reill~. 2012.

161 L. Shu. DJ Costello Jr,E r r o r C o n tr o l C o d in g : F u n d a m e n ta ls a n d A p p h c a tto n s . US: Prcnuce-Hall, 1983.

171 D. E. Corner. D. L. Srevens. ln te r n e tw o r k in g w ith T C P IP v o lu m e III C lie n t-S e r v e r P r o g r a m m in g a n d A p p h c a tto n

S e c o n d E d itio n . Prentice Hall, 1996.

181 T. W. Sung. T. T. Wu. CS. Yang. Y. M. Huang, "Reliable data broadcast for zigbee wireless sensor networks .",

In te r n a tio n a l J o u r n a l o n S m a r t S e n s in g a n d In te llig e n t

S y s te m , vol. 3. pp. 504-520

19J e. M. White. D a ta C o m m u m c a u o n s a n d C o m p u te r N e tw o r k s .

US: Course Technology. 2013.

1101 R Caceres. L lflode. "Improving the performance of reliable transport protocols in mobile computing environtrnents".

IE E E jo llm a l o n S e le c te d A r e a in C o m m u n ic a tio n s , June 1995.

II II1.Shial LI.C. Ta Lee. M. Wang Guo, "Analysis, Simulation and Implementation of wireless TCP flows with FEe. Journal

Computer Communications. vol. 27. pp. 222-229. February

200~.

I121 Z Feng. I.. Min. G. Chuansang. "An analytic throughput model for TCP Reno over wireless networks". inP r o c 0 / IC IS .Ill. 200I.

I131 D Lin. H T Kung."TCP fast recovery strategies. analvsis and improvements". mP r o c o f IE E E I.\F O C O .II, 1 9 9 8 . II ~IJ. Hu. I\. L Yeung."FDA: anovelbase station no" control

scheme forTep 0\er hctcgcneous networks", InP r o c 0 /IE E E I.\F ()('().If. 200I

II 51 J Guucrrcz. J I' Vdla-\1cdma." Nicio-Garibay. M " Porta-Gandara. "Automated rrngauon s) stern using a \\ irclcss sensor network and GPRS module". IE E E T r a n s a c tio n s 0 1 /

ln s tr u m c n ta n o n a n d M e a s u r e m e n t. 20 13