E-Banjar Bali, Population Census Management Information System of Banjar in Bali by Using Family Tree Method and Balinese Culture Law.

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EDITOR IN CHIEF

Prof. Niaz Ahmad

FCE, MOE, Islamabad, PAKISTAN

EDITORIAL BOARD

Dr. CHRISTEL BAIER

Faculty of Computer Science, Institute for Theoretical Computer

Science, Technical University Dresden, GERMANY.

Dr. YUSUF PISAN

Department of Software Engineering, Faculty of Information

Technology, University of Technology, Sydney, AUSTRALIA.

Dr. YUXIN MAO

School Of Computer & Information Engineering Zhejiang Gongshang

University, CHINA

Dr. MUHAMMAD SHER

Faculty of Basic and Applied Sciences, Department of Computer

Science, International Islamic University, Islamabad. PAKISTAN.

Dr. ZARINA SHUKUR

Computer Science Dept., Fakulti Teknologi dan Sains Maklumat,

University Kebangsaan Malaysia, 43600 Bangi, MALAYSIA.

Dr. NOR AZAN MAT ZIN

Department of Information Science, Faculty of Information Science &

Technology, National University of Malaysia (UKM) 43600 UKM BANGI,

MALAYSIA.

Dr. KHAIRUDDIN BIN OMAR

Faculty of Information Science and Technology, Universiti Kebangsaan

Malysia, 43600 Bangi Selangor Darul-Ehsan, MALYSIA.

Dr. TENGKU MOHD. BIN TENGKU SEMBOK

Faculty of Information Science and Technology Universiti Kebangsaan,

Malaysia, 43600 Bangi Selangor Darul-Ehsan, MALYSIA.

Dr PRABHAT K. MAHANTI

Department of Computer Science and Applied Statistics (CSAS),

Hazen Hall Room 311, University of New Brunswick, Saint John, New

Brunswick, CANADA.

Dr. R. PONALAGUSAMY

Department of Mathematics, National Institute of Technology,

Tiruchirappalli, Tamil Nadu, INDIA.

Dr. NITIN UPADHYAY

Computer Science & Information Systems Group, Birla Institute of

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Technology and Science (BITS), Pilani-Goa Campus, NH-17B Bypass

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Dr. A. SERMET ANAGN

Eskisehir Osmangazi University, Industrial Engineering Department,

Bademlik Campus, 26030 Eskisehir, TURKEY.

Dr. YACINE LAFIFI

Department of Computer Science, University of Guelma, BP 401,

Guelma 24000, ALGERIA.

Dr. CHRISTOS GRECOS

School of Computing, Engineering and Physical Sciences, University of

Central Lancashire, Preston PR1 2E, UNITED

KINGDOM.

Dr. JAYANTHI RANJAN

Institute of Management Technology, Raj Nagar, Ghaziabad, Uttar

Pradesh, INDIA

Dr. ADEL M. ALIMI

National Engineering School of Sfax (ENIS), University of SFAX,

TUNISIA

Dr. SIKANDAR HAYAT KHIYAL

Department of Computer Science, Fatima Jinnah Women University,

Rawalpindi, PAKISTAN

Dr. ADEL MERABET

Department of Electrical & Computer Engineering, Dalhousie

University, Halifax, CANADA

DR. HEMRAJ SAINI

CE&IT Department, Higher Institute of Electronics, Bani Walid. LIBYA

Dr. MAUMITA BHATTACHARYA

SOBIT, Charles Sturt University, Albury - 2640, NSW, AUSTRALIA

Dr. SEIFEDINE KADRY

Lebanese International University, LEBONON

Dr. AIJUAN DONG

Department of Computer Science, Hood College Frederick, MD 21701.

USA

Dr. S.S.RIAZ AHAMED

Mohamed Sathak Engineering College, Kilakarai, & Sathak Institute of

Technology, Ramanathapuram , Tamilnadu, INDIA

Dr. ZURIATI AHMAD ZUKARNAIN

University Putra Malaysia, MALAYSIA

Dr. CHELLALI BENACHAIBA

University of Bechar, ALGERIA

Dr. MOHD NAZRI ISMAIL

University of Kuala Lumpur (UniKL) MALYSIA

Dr. VITUS SAI WA LAM

The University of Hong Kong, CHINA

Dr. WITCHA CHIMPHLEE

Suan Dusit Rajabhat University, Bangkok, THAILAND

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Dr. SIDDHIVINAYAK KULKARNI

University of Ballarat, Ballarat, AUSTRALIA

Dr. S. KARTHIKEYAN

Caledonian College of Engineering, OMAN

Dr. DRAGAN R. MILIVOJEVI

Ć

Mining and Metallurgy Institute Bor Zeleni bulevar 35, 19210 Bor,

SERBIA

Dr. ABDUL AZIZ

Professor of Computer Science, University of Central Punjab,

PAKISTAN

Dr.P.DANANJAYAN

Professor, Department of ECE, PEC, Puducherry, INDIA.

Dr. E. SREENIVASA REDDY

Principal - Vasireddy Venkatadri Institute of Technology, Guntur, A.P.,

INDIA

Dr. SANTOSH DHONDOPANT KHAMITKAR

Ramanand Teerth Marathwada University, Nanded. Maharashtra

431605, INDIA

Dr. M. IQBAL SARIPAN

(MIEEE, MInstP, Member IAENG, GradBEM)

Dept. of Computer and Communication Systems Engineering, Faculty

of Engineering, Universiti Putra MALAYSIA

Dr. E. SREENIVASA REDDY

Principal - Vasireddy Venkatadri Institute of Technology, Guntur, A.P.,

INDIA

SHAHBAZ GHAYYUR

Faculty of Basic and Applied Sciences, Department of Computer

Science and Software Engineering, International Islamic University,

Islamabad. PAKISTAN.

Dr. T.C.MANJUNATH,

Professor & Head of the Dept.,Electronicis & Communication Engg.

Dept,

New Horizon College of Engg.,Bangalore-560087, Karnataka, INDIA.

Dr. Nacer eddine ZAROUR

LIRE Laboratory, Computer Science Departement, University Mentouri

of Constantine (UMC)

Dr. RIKTESH SRIVASTAVA

Assistant Professor, Information Systems, Skyline University College

P O Box 1797, Sharjah, UAE

Dr. Mohd ZAINAL ABIDIN AB KADIR,

PhD, MIEEE

Centre of Excellence on Lightning Protection (CELP)

Dept. of Electrical and Electronics Engineering, Faculty of Engineering,

UPM, Selangor, MALAYSIA

Dr. OUSMANE THIARE

Gaston Berger University, Department of Computer Science, UFR

S.A.T

BP 234 Saint-Louis, SENEGAL

Dr. SIDDHIVINAYAK KULKARNI

Graduate School of Information Technology and Mathematics

University of Ballart AUSTRALIA

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Dr. BONNY BANERJEE

Senior Scientist Audigence, FL, USA, The Ohio State University,

Columbus, OH, USA

Dr. NICKOLAS S. SAPIDIS

Department of Mechanical Engineering, University of Western

Macedonia

Kozani GR-50100, GREECE.

Dr. NAZRI BIN MOHD NAWI

Software Engineering Department, Faculty of Science Computer

Information Technology, Universiti Tun Hussein Onn

MALAYSIA

Dr. JOHN BABALOLA OLADOSU

Ladoke Akintola University of Technology, Ogbomoso, NIGERIA

Dr. ABDELLAH IDRISSI

Department of Computer Science, Faculty of Science, Mohammed V

University - Agdal, Rabat, MOROCCO

Dr. AMIT CHAUDHRY

University Institute of Engineering and Technology, Panjab University,

Sector-25, Chandigarh, INDIA

Dr. ASHRAF IMAM

Aligarh Muslim University, Aligarh-INDIA

Dr. MUHAMMAD UMER KHAN

Department of Mechatronics, Faculty of Engineering, Air University,

Islamabad. PAKISTAN

Dr. MOHAMMED ALI HUSSAIN

Dept. of Computer Science & Engineering, Sri Sai Madhavi Institute of

Science & Technology, Mallampudi,

Rajahmundry, A.P, INDIA

Dr. KHALID USMANI

Department of Computer Science, Arid Agriculture University,

Rawalpindi, PAKISTAN.

Dr. GUFRAN AHAMD ANSARI

Qassim University, College of Computer Science, Ministry of Higher

Education, Qassim University, KINGDOM OF SAUDI ARABIA

Dr. Defa Hu

School of Information, Hunan University of Commerce, Changsha

410205, Hunan, P. R. of CHINA

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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines

encompassing the most basic research to the most innovative technologies. Please submit your papers

electronically to our submission system at http://jatit.org /submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal

identifiable information in the manuscript before

Journal of Theoretical and Applied Information Technology

January 2014 | Vol. 59 No. 2

Title: A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB SERVICES BASED ON MUTATION TESTING

Author: ASHOK KUMAR. P.S, KAARTHICK .B, GOPAL KRISHNA. C

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submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Full Text

Title: CORRECTION POSITION OF COORDINATES FROM DATA GPS LOGGER IN GOOGLE MAPS BY USING LAGRANGE INTERPOLATION METHOD

Author: NGAKAN MADE SATRYA WIBAWA, I MADE SUKARSA, I KETUT ADI PURNAWAN

Abstract: Development of navigation technologies increase rapidly. People need a GPS to indicate a location or street. The accuracy of the GPS position is often less precise. This problem is used as a discussion of issues in the design of GIS to fix the GPS coordinates to the coordinates of the path using interpolation polinom lagrange method. This study uses PL/SQL to MySQL engine to perform the calculations haversine formula and interpolation polinom lagrange. Coordinates improvements value obtained from the results of these calculations.

Keywords: GPS, GIS, PL/SQL, Correction Coordinate, Interpolation Polinom Lagrange

Source: Journal of Theoretical and Applied Information Technology January 2014 -- Vol. 59. No. 2 -- 2014

Full Text

Title: COMPARATIVE STUDY OF DATA MINING MODEL FOR CREDIT CARD APPLICATION SCORING IN BANK

Author: EVARISTUS DIDIK MADYATMADJA, MEDIANA ARYUNI

Abstract: The growth of credit card application needs to be balanced with the anticipation of bad credit risk because it does not use security collateral as warranty. The usage of credit scoring can be used to help the credit risk analysis in determining the applicant's eligibility. Data mining has been proven as a valuable tool for credit scoring. The aim of this research is to design a data mining model for credit scoring in bank in order to support and improve the performance of the credit analyst job. The proposed model applies classification using Naïve Bayes and ID3 algorithm. The accuracy of Naïve Bayes classifier is 82% and ID3 is 76%. So we can conclude that Naïve Bayes classifier has better accuracy than ID3 classifier.

Keywords: Credit Scoring, Data Mining, Credit Card, Bank, Naïve Bayes, ID3, Classification

Full Text

Title: MULTI-LEVEL TRUST ARCHITECTURE FOR MOBILE ADHOC NETWORKS BASED ON CONTEXT-AWARE

Author: A.RAJESH, DR. N. MOHAN KUMAR

Abstract: Mobile ad hoc networks (MANETs) are not favorable to centralized trust architecture and literature review provides several security framework and solutions for trust management. However, there is no unified architecture for MANET to exploit deployed security models based on trust. This study presents compelling trust architecture in which a trust based security model is superimposed with three trust models such as a low-level trust model, a medium-level trust model, and a high-level trust model based on context-aware security. The low-level trust model meets the necessary security requirements using direct observations. The medium-level trust model ensures medium security level using direct observations and recommendation messages. The high-level trust model provides a highly secured system with high complexity and computational cost. The proposed work is formulated based on the application context to determine the trust-level in geographic routing protocol. The proposed trust is fully distributed and application context dependent and dynamic in nature. The proposed multi-level trust model is integrated with Position based Opportunistic Routing (POR) Protocol that selects the trusted next hop in the routing path. The correctness of the proposed scheme is analyzed using network simulator (NS-2). Proposed work increases packet deliver ratio and throughput significantly.

Keywords: Mobile Ad Hoc Networks, Geographical Routing, Trust Management, Context-aware Trust, Trust based Security

Full Text

Title: INVESTIGATION OF SUPPORT VECTOR MACHINE CLASSIFIER FOR OPINION MINING

Author: K.SARASWATHI, Dr. A.TAMILARASI

Journal of Theoretical and Applied Information Technology - January ...

http://www.jatit.org/volumes/Vol59No2/fiftyninth_2_2014.php

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Abstract: Complicated text understanding technology which extracts opinion, and sentiment analysis is called opinion mining. Building systems to collect/examine opinions about a product in blog posts, comments, and reviews/tweets is sentiment analysis. Product reviews are the focus of existing work on review mining and summarization. This study focuses on movie reviews, investigating opinion classification of online movie reviews based on opinion/corpus words used regularly in reviewed documents.

Keywords: Opinion Mining, Classification Accuracy, Sentiment analysis, Movie reviews, Support Vector Machine, Bagging

Full Text

Title: A ROBUST METHOD FOR DIGITAL IMAGES WATERMARKING BASED ON COMBINATION OF SVD, DWT AND DCT USING OPTIMAL BLOCK

Author: MOHAMED RADOUANE, TARIK BOUJIHA, ROCHDI MESSOUSSI, RAJA TOUAHNI

Abstract: With the growth of the Internet, development of digital media technologies and computer network, the change and the protection of copyright have become very important. To protect multimedia data against illegal recording and retransmission, the integration of a signal (digital signature, watermark) has become an obligation without modifying quality of the original image, the goal of this operation is to identify the owner and protect his intellectual property. Digital watermarking has been proposed as a solution to solving the copyright problem by introducing invisible data (watermark) into original image. In this paper, we propose a robust method for digital images watermarking. This method is achieved by searching the optimal block that can be used to insert the watermark in original image by modifying the singular value decomposition (SVD) in DWT (discrete wavelet transform) combined with DCT (Discrete Cosine Transform) . The experimental results show that this imperceptible method combines the advantage of three transformations to ensure robustness against most attacks.

Keywords: Watermarking, DWT, SVD, DCT, Entropy

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Title: FUZZY VAULT FUSION BASED MULTIMODAL BIOMETRIC HUMAN RECOGNITION SYSTEM WITH FINGERPRINT AND EAR

Author: R.VINOTHKANNA, Dr.AMITABH WAHI

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Author: G. Thippa Reddy, K. Sudheer, K Rajesh, K. Lakshmanna

Abstract: Cloud computing is rapidly gaining popularity. However, like any new system, cloud computing is facing some significant challenges. The most significant challenge faced by cloud adopters is related to legal compliance, security controls, privacy and trust. This paper proposes a novel security management framework by employing data mining to detect, contain and prevent attacks on cloud computing systems. Given that the security frameworks and related controls on cloud computing are still evolving, this research may prove to be a useful piece of contribution in enhancing the theoretical foundation established by existing studies.

Keywords: Cloud Computing, Data Mining, Security-as-a-service, OPNET, Positivism and the Interpretivism

Full Text

Title: A MULTI-AGENT BASED DISTRIBUTED INTRUSION PREVENTION SYSTEM AGAINST DDOS FLOODING ATTACKS

Author: A. SAIDI, A. KARTIT, M. EL MARRAKI

Abstract: Denial of service (DoS) attacks is a simple and very annoying type of intrusions. This kind of attacks attempts to make unreachable at least a service of equipment like it can stagnate the whole of a network. To launch a DoS attack, we have, nowadays, often tools to succeed. Some of these tools try to send a compromised network load to corrupt their targets by flooding it with SYN, UDP or ICMP packets [1],[2]. Our paper describes the conception of a multi-agent-based intrusion prevention system (IPS) that can apprehend these flooding attempts in a distributed way.

Keywords: DoS Attacks, Intrusion Prevention, Multi-agent System, Distributed System

Full Text

Title: FORECASTING EARNINGS PER SHARE FOR COMPANIES IN IT SECTOR USING MARKOV PROCESS MODEL

Author: M.P. RAJAKUMAR , V. SHANTHI

(11)

maturity.

Keywords: Audit of Information System, IT Governance, COBIT, Maturity Level, ITIL

Full Text

Title: ENERGY EFFICIENT INTRUSION DETECTION SYSTEM FOR WIRELESS SENSOR NETWORK USING NEURAL NETWORK

Author: SYEDA GAUHAR FATIMA,Dr.SYED ABDUL SATTAR, Dr.K ANITHA SHEELA

Abstract: In wireless sensor network (WSN), the existing intrusion detection techniques rarely consider energy consumption for judging the node state. Also there is need for increased detection rate. Hence in this paper, we propose an energy efficient intrusion detection system for WSN. Initially the nodes deployed in the network are analyzed for malicious activity based on their residual energy. If the energy consumption of a node is greater than a predicted threshold, it is considered as malicious and the packets emerging from these nodes are said to be abnormal. The abnormal packets are passed through the Back Propagation Network (BPN) to analyze the data misinterpretation. In case, the output of BPN is found to be abnormal, then the attack detection is confirmed and attack type is estimated. By simulation results, we show that the proposed technique is more energy efficient.

Keywords: WSN, Intrusion Detection, Wnergy Efficient, Neural Network

Full Text

Title: A NOVEL APPROACH FOR MITIGATION OF HARMONICS AND INTERHARMONICS IN VARIABLE FREQUENCY DRIVES

Author: PROF.VIJAYAKUMAR.A, DR.MAHENDRA BABU. T.K

Abstract: Interharmonics are non-integer multiples of the fundamental frequency that causes several undesirable effects. Variable frequency drives are main sources of interharmonics. Also interharmonics are generated when the inverter load is unbalanced or the inverter is operating in overmodulation. In this study, adjustable speed drive employing diode bridge rectifier and voltage source inverter with load unbalance is considered. Propogation of interharmonics in the supply side due to load unbalance is analysed and a novel method for mitiating interharmonics is proposed. The proposed method employs an active filter in supply side which is simulated using PSIM . With the proposed active filter the compensation effectiveness is significantly improved and allows the elimination of passive filters thereby reducing cost and space required.

Keywords: Interharmonics, Power Quality, Adjustable Speed Drive, Active Filter, Interharmonics Mitigation

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Title: MAPPING THE RESEARCH PRODUCTIVITY OF BANARAS HINDU UNIVERSITY: A SCIENTOMETRIC STUDY

Author: R. BALASUBRAMANI, R. PARAMESWARAN

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Title: EXPLOITING IPV6 ROUTING HEADERS TYPE 0/2 IN DIFFERENT IP WIRELESS NETWORKS: ATTACK SCENARIO & ANALYSIS

Author: BASSAM NAJI AL-TAMIMI, RAHMAT BUDIARTO, MOHD. ADIB OMAR, KAMAL M. ALHENDAWI

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Keywords: Content-based image retrieval, Computed Tomography, Coif let wavelets, Particle Swarm Optimization, Genetic algorithm, Support Vector Machine

Full Text

Title: SOLVING MAXIMAL COVERING PROBLEM USING PARTITIONED INTELLIGENT FISH ALGORITHM

Author: AMIN JULA, ELANKOVAN SUNDARARAJAN, NARJES KHATOON NASERI, REZA ABIAT

Abstract: NP-Complete optimization problems are a well-known and widely used set of problems which surveyed and researched in the field of soft computing. Nowadays, because of the acceptable rate of achieving optimal or near-optimal solutions of the mentioned issues, using of nature-inspired algorithms are increasingly considered. One of the familiar problems in the field of NP problems is Maximal Covering Problem which has various applications of pure mathematics to determine the location of mobile network antennas or police stations. In this paper, we introduced a heuristic algorithm called Partitioned Artificial Intelligent Fish Algorithm which using artificial fish-search algorithm, logical partitioning of the search space of this algorithm to several sub-space and change in motor functions in fishes, deals with the suitable, innovative and fast solution of maximal covering problem. The results of implementing this algorithm and comparing it with the performance of some the best known algorithms for solving NP problems will be represented by a very good performance of the proposed algorithm.

Keywords: Artificial Fish Algorithm, Maximal Covering Problem, NP-hard problem

Full Text

Title: E-BANJAR BALI, POPULATION CENSUS MANAGEMENT INFORMATION SYSTEM OF BANJAR IN BALI BY USING FAMILY TREE METHOD AND BALINESE CULTURE LAW

Author: I GUSTI BAGUS ARI PINATIH, A.A. KOMPIANG OKA SUDANA, I KETUT ADI PURNAWAN

Abstract: This paper describes how population census in Balinese traditional village i.e. banjar are managed. This kind of information system is known as e-Banjar Bali. A case study was conducted in Banjar Padang Tegal Tengah, a banjar in Ubud, Bali regarding to the information system. This population information system uses website as its basis. The study was done to find an easier population census management. Managing family tree, calculating total population, indigenous and non-indigenous people, active and non-active population, natality and mortality are inclusive in the census. Additional feature included as a part of this information system is management upon banjar organizational data and information spreading among the society. This particular information system is expected to minimize the use of paper or manual execution of population census.

Keywords: Banjar, Population, Management, Family Tree, Balinese Culture Law

Full Text

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Title: BASIP A VIRTUAL MACHINE PLACEMENT TECHNIQUE TO REDUCE ENERGY CONSUMPTION IN CLOUD DATA CENTRE

Author: AJITH SINGH. N, M. HEMALATHA

Abstract: Infrastructure as a Service (IaaS) in cloud computing provides Infrastructure as a service for the demand of user from small instance to large instance in pay per use model. The services include like computer resource, networking and data storage. An API (Application Programming Interface) is used to access the infrastructure and a dashboard to control the server and to create and manage different Virtual Machines in the cloud data centre. Multiple cloud users access the service simultaneously. Due to continuous access of the services, a deadlock can happen, and it may lead to a system crash, although cloud computing is designed to overcome such problem, a proper Virtual Machine Placement Technique is needed for implementation to rule out such incidences. Deadlock can occur in cloud computing as the system is inherited from distributed computing and virtualization. A Virtual Machine Placement Technique known as BASIP is proposed to overcome the issue of deadlock by using a banker algorithm with Stochastic Integer Programming. Further, the proposed algorithm is being simulated with hundreds of servers and thousands of virtual machines. The proposed algorithm was simulated with different overload detection and VM selection algorithm. The BASIP algorithm is experimented with 800 servers with 1024 Virtual Machines. From the experimental results, BASIP algorithm reduces energy significantly.

Keywords: Virtual Machine, Cloud Computing, Live Migration, Bankers and Stochastic Integer Programming, Deadlock Avoidance, Resource Allocation, Energy, Cloud Data Centre, Minimum Utilization Rank, Polynomial Regression, BASIP

Full Text

Title: PERFORMANCE OF MIMO MC-CDMA SYSTEM WITH CHANNEL ESTIMATION AND MMSE EQUALIZATION

Author: N. TAMILARASAN, L. NITHYANANDAN

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the same row and the second stage is forming a vertical chain that includes all chain heads. The mechanism for selecting the heads in each row is sequentially chosen with all the heads belong to the same column. In the second stage, the node with maximum residual energy amongst the chain heads will be the main head that functions as a gateway to the base station. Simulation results show that TSCP outperforms CCM and CCBRP in overall energy conservation, network lifetime and stability.

Keywords: Wireless Sensor Network, TSCP, CCM, CCBRP, Chain Protocol

Full Text

Title: A NEW DENSITY BASED PROBABILISTIC COUNTER SCHEME FOR SOLVING BROADCAST STORM IN MOBILE AD HOC NETWORKS

Author: A. SENTHIL KUMAR, K.S. RAMASWAMI

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counted a significant field of research over the past decade. Thus, we present an inclusive review and present classification on the current routing sensor protocols, which are particularly designed for wireless sensor networks. We emphasize the main motivation behind the development of each routing protocol category and clarify the operation of different protocols in detail related to energy issues, with emphasis on their advantages and disadvantages. Moreover, the current multipath routing approach is broadly used in wireless sensor networks in order to improve network performance such as load balancing, reliability, fault tolerance, bandwidth aggregation and QoS Improvement. Therefore, in this paper we highlight the notion of the multipath routing approach and its essential challenges, additionally the basic motivations for utilizing this technique in wireless sensor networks. In addition, we contrast and review the state-of-the-art multipath routing protocols that based on energy aware method, fault tolerance and QoS multipath routing. At the end of this paper, a characterized comparison has been forwarded on these methods based on the analysis outcome.

Keywords: Wireless Sensor Networks, Routing Protocols, Energy Efficiency, Fault Tolerance, Qos, Multipath Routing

Full Text

Title: A STUDY OF TSUNAMI MODEL FOR PROPAGATION OF OCEANIC WAVES

Author: E.SYED MOHAMED, S.RAJASEKARAN

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Journal of Theoretical and Applied Information Technology

20th

January 2014. Vol. 59 No.2

ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195

411

E-BANJAR BALI, POPULATION CENSUS MANAGEMENT

INFORMATION SYSTEM OF BANJAR IN BALI

BY USING FAMILY TREE METHOD

AND BALINESE CULTURE LAW

1

I GUSTI BAGUS ARI PINATIH,

2

A.A. KOMPIANG OKA SUDANA,

3

I KETUT ADI PURNAWAN,

1,2,3

Department of Information Technology, Udayana University, Bali, 80119

E-mail:

1

gba.pinatih@gmail.com

2

agungokas@hotmail.com

3

dosenadi@yahoo.com

ABSTRACT

This paper describes how population census in Balinese traditional village i.e.

banjar

are managed. This

kind of information system is known as

e-Banjar Bali

. A case study was conducted in

Banjar Padang

Tegal Tengah

, a

banjar

in Ubud, Bali regarding to the information system. This population information

system uses website as its basis. The study was done to find an easier population census management.

Managing family tree, calculating total population, indigenous and indigenous people, active and

non-active population, natality and mortality are inclusive in the census. Additional feature included as a part of

this information system is management upon

banjar

organizational

data and information spreading among

the society. This particular information system is expected to minimize the use of paper or manual

execution of population census.

Keywords:

Banjar, Population, Management, Family Tree, Balinese Culture Law

1.

INTRODUCTION

Balinese culture is widely known in the world. Its

traditional customs, cultures, and arts become a

unique trait for Bali Island itself. The other unique

trait is the way how Balinese manage its population.

Balinese societies live in a special system called

banjar

.

Banjar

is an administrative division under

the governance of sub-district or village in Bali

Province, Indonesia.[1]

Banjar

is a term to refer to a unity of society

bounded by law which governs the region borders

in controlling and ruling local society needs – based

on its local customs that has been acknowledged

and respected by Indonesian government.[6]

Banjar

is ruled by a traditional village. Traditional

village is governed by sub-district. Each sub-district

might consist of some traditional villages. Every

traditional village might have several

banjar

.

Figure 1: Scheme Of Banjar In Bali

Population management in Bali is totally different

from other area in Indonesia because of the

existence of

banjar

itself. The differentiation of

societies that appears in two resident statuses –

penduduk dinas

and

penduduk adat

– is the

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20th

412

Penduduk adat

refers to a person who possesses

traditional or indigenous status based on the local

custom in their neighborhood.[12]

Penduduk dinas

and

penduduk adat

were formed

because there are two types of living status in Bali

i.e.

banjar dinas

and

banjar adat. Banjar dinas

is a

compulsory social organization which should be

possessed by every people in particular

banjar

– as

national administrative affairs managed in

banjar

dinas

.[7]

Banjar adat

refers to

banjar

status living

– that i.e. owned by indigenous people – where any

traditional affairs (mortality,

odalan

, and marriage)

and other

banjar

local affairs are usually taking

place.[5]

A family in

banjar

area is often illustrated with a

tree and its branches that grow over time. Thus, this

system is called lineage or family tree. This family

tree will have more branches as new members

enters. Then, relationships among the members of a

family should be clearly defined so that personal

identity can be known completely. This is in line

with the purpose of calculating population.

At one banjar in the population, those cases have

certainly occurred as marriage, divorce, death, birth,

natives and immigrants, community organizations,

and dissemination of relevant information on

population.

Population data collection during years are

addressed by using the book (manual data

collection). The data entry by using this type is very

simple to use but would be inefficient for data

processing and dissemination of population

information.

Figure 1: Population And Activities Archieve Of Banjar Padang Tegal Tengah Ubud 2013

Over the development period, in the

banjar

population census has been put on Ms. Office

Excel. Data processing is handled by the software.

But, not everyone can operate and use the existing

formulas on the software.

Figure 2: Population Data Of Banjar Padang Tegal Tengah Ubud 2013 Using Ms. Excel

Figure 3: Population Data Of Banjar Padang Tegal Tengah Ubud 2013 Based On Employment And

Education

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Some cases that can be managed by this population

census management information system are

patriarch,

matriarch,

divorce,

non-indigenous

inhabitant, indigenous inhabitant, natality and

mortality, society organization, as well as newest

information spreading (e.g. current

banjar

activity,

announcement, documentation, and any other

information that can be delivered through internet).

The boundary’s problem of this case study is on a

scale of population census only on one

banjar

.

2.

METHODOLOGY

Methodology used in this research was family tree

method and combine with interview method

towards the head of

banjar

Padang Tegal Tengah

Ubud. This interview is used to collect

informations

about Balinese culture law. So, methodology used

in this research is combination between family tree

and Balinese culture law (based on interview with

head of

banjar

)

2.1

Family Tree Method

Family tree is a term used to describe lineage

showing the line of descent from an ancestor to a

person or a family which has a connection towards

other people being his wife or relatives.[2] The

lineage then describes the relationships among

members of a family vertically and horizontally by

mentioning the name of the family.[2]

Figure 4: An Example of a Family Tree

Famiy tree makes the drawing of lineage and

observing the descendents, head of household, and

inheritors easier.[2] An example above shows that

after Mr. Edy and Mrs.

Luna getting

married, they

have two sons and a daughter. Furthermore, in this

case, Mr. Edy is the head of the household (looking

at the husband line or patrilineal system).

Meanwhile, his wife and his children are the

members of the family. As all of his children got

married, there will be three new families. This

situation continues on and on.

Residential system in Bali is similar to the family

tree system mentioned previously but it is in a

slightly different version of the traditional one.

Seeing this case, this research was done in

banjar

Adat Padang Tegal Tengah Ubud Bali. For

example, Mr. Yoga and Mrs. Yuni got married.

They have three sons. Mr. Yoga was the head of the

household.

Figure 5: An Example of Family Tree Method

These three sons then got married and have their

own wife and children. Since their parents were not

productive and active anymore – due to age factor –

then the first son had to be responsible for the

family. Therefore, the first son in Mr. Yoga’s

family took the responsibility as the head of the

household. Mr. Yoga, Mrs. Yuni, Sanjaya, and

Krisna were now under Yuda’s responsibility.[9]

Figure 6: Example Of Family Tree, The Changing Of The Head Of Household In Bali

To make it clearer, an example of family tree

system is portrayed in the following case. It can be

seen in figure 5.

A house for a big family consists of a couple of old

man and woman. They have four sons. Each of

their sons has got married. All of them already have

their own children. The situation can be described

as follows:

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414

Figure 7: Example of Family Tree (In Detail)

In detail, Mr. Lebah has:

a.

A wife

b.

Four sons

c.

Four daughters-in-law

d.

Seven grandchildren

If we see it from the child’s side (i.e. Taman), it can

be said that he has:

a.

A father and a mother

b.

A wife

c.

A child

d.

Three brothers

e.

Three sisters-in-law

f.

Four nephew and two niece

This continuity happens until a lineage of a family

appeared. A datum or a person must be related to

his/her own family. For instance, Lebah’s data

should have detailed descend data. This specific

condition is also for Lebah’s descend data – i.e. his

son’s data.

The details will be explained in the following

design and architecture part.

2.2 Interview with the Leader of the Banjar

An interview with the leader of the

Banjar

was

conducted in order to get necessary data for the

research. Besides, any other factor concerned in this

research was custom-based regulation in managing

the population itself. The leader of the

banjar

is

known as

Kelihan Banjar

in Balinese. He and his

partners have important roles in leading the

banjar

adat

affairs such as information spreading,

population management, local customs affairs

(

ngaben

, religious ceremony, etc.), and other

activities that can enhance the

banjar

identity as

well as appreciate values exist in the society.

Another interview also was conducted with the

leader of ST and PKK. The leader of ST (

Sekeha

Teruna

or an organization of non-marriade people

in banjar) is considered as the most mature

youngster in leading the youth in that

banjar

.

Activities that are done by ST such as celebrating

banjar

anniversary,

taking

parts

in

many

competitions, and creating other youth events.

On the other side, PKK (

Pemberdayaan dan

Kesejahteraan Keluarga

or an organization

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415

wealthy as well as law enforcement and

environmentally literate.

Then,

those

points

were

investigated

and

implemented towards the information system by the

researchers.

3. SYSTEM OVERVIEW

This part clarifies (1) design and system feature, (2)

application of family tree, (3) marriage and divorce

in Bali, as well as (4)

banjar

organizer features.

3.1 Design and System Feature

e-

Banjar

Bali is a web-based application. Its

information takes place in online form so it can be

accessed anytime and anywhere. In addition,

information can be exchanged among the residents,

administrators, and village organizers without any

space and time boundaries. For instance, when

there is important information wanted to be

delivered by

Kelihan Banjar

, he can directly gives

instructions to the system. Meanwhile, the

administrators and members of the system will get

the instruction and they will do it immediately. The

user gives information in a form of personal data

such as KTP (ID card) and SIM (driving license)

scan to the system to complete their own identity.

Moreover, the admin will insert news, population

and other necessary information to the system that

the others can easily access. Obviously, all data will

run in the load and saved in and to the database.

Figure 8: Form of Interaction in e-Banjar Bali System

The design of e-

Banjar

Bali population census

management information system is divided into

three parts namely (1) website page, (2)

administrator page, and (3) member page. Website

page is a page consists of important information

related to

banjar

which will always be updated by

the administrator. [3]

Administrator page refers to a page which is used

by the administrator to manage the population and

other necessary data which is related to

banjar

itself. The administrator has a right to manage this

information system – this is certainly in accordance

with the leader of

banjar

’s permission and

agreement.

Furthermore, member page is defined as a page for

all members of

banjar

. Each member has their own

username and password. They do not have the

rights to change any existed

data which inputted

from the registration process. But, all members can

see

the information and data stored in the system

alongwith

their

digital

document

uploaded

previously such as KTP, SIM, certificate of birth,

certificate of marriage, diforce, and so on.

Figure 9: Parts of e-Banjar Bali System

Each resident must register themselves to the leader

of

banjar

to get their username and password. The

username and password

will be used to log in to the

member page. As the registration process finished,

population data is automatically inputted by the

administrator. Figure 8 shows an example of

marital case where new resident should be

registered.

Figure 10: Member Sign Up

Most of the activities in this information system are

done in the administrator page. Some features that

could be controlled in the administration page of

this information system are mentioned as follows:

a.

In-

banjar

marital case

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416

g.

Mortality case

h.

Natality case

i.

Non-indigenous resident case

j.

Temporary resident case

k.

Facility of ST organizational management

l.

Facility of PKK organizational management

m.

News management facility and data master

n.

Data archive

o.

Facility of

Banjar

leader

p.

Banjar

activities record.

q.

Report

This information system focuses more on the

population census management. The other part of

this application is ST organizational management

PKK organization, and information broadcasting to

banjar

members.

3.2 Family Tree Application

Family tree can be figured in many ways such as

branches – so it will look like a tree. Giving

numbers on chapter and sub-chapter is the other

way that can be done to describe family tree.

Chapter and sub-chapter numbering is used to make

application of this system easier. One to another

data will be related.[9] See the following example

for the illustration of case in Figure 5.

1.

LEBAH’S BIG FAMILY

1.1

MR. LEBAH

1.1.I MRS. RAI

1.1.1 MR. TAMAN

1.1.1.i MRS. ARI

1.1.1.1 ARIS

1.1.2 MR. SUJANA

1.1.2.i MRS. SWITRI

1.1.2.1 MR. BAGUS

1.1.3 MR. ADNYANA

1.1.3.i MRS. RASMILI

1.1.3.1 RATIH

1.1.3.2 ARYA

1.1.3.3 SASTRA

1.1.4 MR. WIADNYANA

1.1.4.i MRS. JERO

1.1.4.1 AYU

1.1.4.2 RUPEM

According to Figure 5, chapter and sub-chapter

numbering is used in describing a family tree. Each

small family then put into some categorization.

These small families later will create bigger family

in the same house.

Figure 11: A Family Tree using Numbering System

Figure Description:

A.

Mr. Taman’s family consists of his wife

(Mrs. Ari) and his only child (Aris).

B.

Mr. Sujana’s family consists of his wife

(Mrs. Switri) and his only child (Bagus).

C.

Mr. Adnyana’s family consists of his wife

(Mrs. Rasmili) and his three children

(Ratih, Arya, dan Sastra).

D.

Mr. Wiadnyana’s family consists of his

wife (Mrs. Jero) and his two children (Ayu

dan Rupem).

E.

Mr. Lebah’s family consists of his wife

(Mrs. Rai) and his four children (Mr.

Taman, Mr. Sujana, Mr. Adnyana, dan Mr.

Wiadnyana).

A house might consist of one or more head of the

household. There will come a time when the

inactive old head of household

is replaced by the

next generation. For example, Mr. Lebah and Mrs

Rai are getting old and not very active anymore.

Later on, Mr. Lebah and Mrs. Rai status of head of

household

is taken by Mr. Taman. In short, Mr.

Lebah and Mrs. Rai will be Mr. Taman – who is the

oldest son in the family – responsibility.

3.3 Marriage and Divorce Status

Marriage

in

the

system

falls

into

three

categories[10]:

a.

In-

banjar

marriage

This type of marriage involves outside-

banjar

resident that get into the

banjar

itself. Thus, the

number of

banjar

resident will rise: the

outside-banjar

resident gets married with one of the

adat

resident in that

banjar

.

b.

Intra-

banjar

marriage

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417

But, there will be changing status of both the

groom and the bride from single to married.

c.

Out-

banjar

marriage

Out-

banjar

marriage is the opposite of in-

banjar

marriage. There will be number of inhabitants

added to

banjar

in-

banjar

marriage. In contrary,

in out-

banjar

marriage, the total population will

decrease. The married resident data will be

saved as an archive since s/he does not belong

to the

banjar

anymore.

Divorce cases in e-

Banjar

Bali system also has its

own regulation implemented based on the local

custom. When a couple decided to divorce and

went back to their old home, both of them will not

be considered as the ones who possess relationships

towards their family anymore. Thus, there must be

someone who accepts him/her. They could be

his/her uncle, aunt, father, or anyone under the

same lineage.[11]

3.4 Banjar Organizer

Banjar

organizers such as

kelihan banjar

or

banjar

secretary hold the authorities to control and solve

every problem exist related to

banjar

local

custom

.

[12]

For instance,

magebagan

– an event where every

male is ought to do night watch in relation to death

ceremony – should be arranged by

banjar

organizers. This event usually takes place for three

days or more, depends on the decision made by the

family whose member is dead. Therefore, in this

system, there will be turns for every head of

household to come and do the night watch

for the

first night, the second night, and so forth.

The turns made is sent to every head of household.

As a result, they will receive their night watch

schedule notification on their member page.

3.5 Dinas and Temporary Resident

Dinas

resident are the one who do not have the

responsibility to get involved in the local custom

affairs. They are usually originated from other

regions, whether in the same island or outside the

island, own a house and live in the

banjar

.[8] They

only take responsibility in the

dinas

affairs. This is

totally different from the indigenous residents who

possess two resident statuses,

adat

and

dinas

.

Moreover, temporary residents are people who live

temporarily in a place i.e.

banjar.

They might be

originated from the island or outside the island. The

examples of temporary inhabitants are lodging house

occupant, tourists who spend their vacation for

certain period of time, and other temporary living

inhabitants.[8]

These two types of resident should be statistically

recorded by the

banjar

so that there will be

dangerous condition took place (e.g. case of illegal

inhabitants who tend to commit crimes).

4. IMPLEMENTATION

The research stages were done by taking some

examples of census population such as population

statistic and the application of family tree method.

This system was created using some software (e.g.

PHP, Javascript, and MySQL).

4.1

Results of the Experiment

e-Banjar Bali homepage give people information

about whats new in his area. All new information

are here online.

Figure 12: e-Banjar Bali Homepage

Sample of

used data

was taken from population

data in 2013 – where the total population of

banjar

Padang Tegal Tengah Ubud was 429 people. The

population statistic is shown in a form of column

chart.

Figure 13: Total Population Graph

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418

Based on the data, there are 218 males and 211 females.

Figure 14: Total Population Graph by Sex

The next experiment was done to see the population

statistic based on marital status: (1) married, (2)

unmarried, (3) widower, or (4) widow.

Figure 15: Total Population Graph by Sex

According to the graph, there are 181 unmarried persons, 4 widowers, 11 widows, and 233 married persons.

Resident list was provided in a form of table that

contains common information. When a datum is

chosen, there will be detailed information shown.

Figure 16: List of Population

A datum was taken from A.A. GD. Raka Puja to see the members of his family.

Figure 17: An Example of Family Members

This is one example of family tree in this system.

This is family tree of Gst Md Indrawaja.

Figure 18: Family Tree in e-Banjar Bali

This is one example of marriage, marriage to the

Banjar (Banjar). This is the input form of

In-Marriage process. Only in admin page.

Figure 19: In-Banjar Marriage Input Form

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419

Figure 20: An Example of Family Members

Figure 21: Write a News in Admin Area

4.2

Discussion

The objective of this information system is to help

the society in the rural area, especially Balinese

banjar

residents, in the process of population

census. This system is based on PHP, Javascript,

and MySQL so that it can be implemented online

and every resident has the opportunity to access it

anywhere and anytime.

Every resident will get their own username and

password that can be used to access system or log

in. Connected to the member page, the residents

will be able to see the information about themselves

as well as their family, population statistic, other

resident

information,

and

organizational

information exists.

The system will manifest as an easier way for the

society in getting to know each other. Also, it will

help the village organizers in getting reports from

the society. To be expected on the future, citizens

know each other more, care about the information,

as well as the discipline of the population census.

The comparison of data collection methods with the

book, Ms. Excel, with e-Banjar Bali is as follows;

Table 1: Comparison Population Cencus (E-Banjar Bali, Book, And Ms. Excel.)

Features

*

1

2

The

dissemination

of

information is much faster

√

-

Anytime and anywhere could

be

accessed

by

banjar’s

administrator, the committee of

the

banjar

and the whole

banjar’s

population

√

-

Online

√

-

The work efficiency of data

cencus

√

-

√

Information

among

people

each other in order to be more

knowing the fellow members

of the

banjar

√

-

A faster report

√

-

√

Critical idea and suggestion

from people to

banjar

√

-

Notification

of

news

or

messages for people (residents)

online

√

-

Easy to use

√

-

Note:

* : Population cencus with e-Banjar Bali

1 : Population cencus with book

2 : Population cencus with Ms. Excel

5.

CONCLUSION

In this paper, the way to count the

banjar

resident

in Bali was explained. Some experiments have been

conducted in this system. Conclusions of this

research can be formulated as follows:

a.

Population census management in a region can

be done easily. For instance, a resume of the

whole population census can be seen from the

population graph.

b.

Population data is organized based on patriarch

system. Head of household

possesses family

member which is then known as family tree.

c.

Manual population census, where books are

usually involved in, is now can be changed into

computerized one and online. Thus, population

census works can be finished efficiently.

d.

Technology

implementation

towards

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420

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[2] Bagan Silsilah. Available at :

http://id.wikipedia.org/wiki/Bagan_silsilah

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[3] A.Vijayaraj and P.DineshKumar, "Design and

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[4] I Ketut Sudantra, “Pengaturan Penduduk

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http://id.indo.com/featured_article/banjar.html

[8] I Nyoman Artayasa, "Pengaturan Penduduk

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oleh

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Pekraman",

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[9] Putu Ayu Juliastini, “Rancang Bangun Sistem

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[10] Anom, B. Perkawinan Menurut Adat Agama

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[11]I Gede Panetje. “Aneka Catatan Tentang

Hukum Adat Bali”. Denpasar. 1986.