STATISTICAL ACTIVITY DATA PROCESSING SERVICE SYSTEM ENGINEERING BASED ON SERVICE ORIENTED ARCHITECTURE (SOA) (Case Study: BPS-Statistics Indonesia)

<p align="justify">Data have an important role in development planning for the government as the basis to make appropriate policies for the benefit of the community. Data are obtained through statistical activities such as census and survey. Badan Pusat Statistik (BPS-Statistics Indo...

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Main Author: SITI NUROCHMAH - NIM: 23216061, AMALIA
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/25437
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:25437
spelling id-itb.:254372018-03-13T14:50:36ZSTATISTICAL ACTIVITY DATA PROCESSING SERVICE SYSTEM ENGINEERING BASED ON SERVICE ORIENTED ARCHITECTURE (SOA) (Case Study: BPS-Statistics Indonesia) SITI NUROCHMAH - NIM: 23216061, AMALIA Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/25437 <p align="justify">Data have an important role in development planning for the government as the basis to make appropriate policies for the benefit of the community. Data are obtained through statistical activities such as census and survey. Badan Pusat Statistik (BPS-Statistics Indonesia) is government statistical institution in charge of providing quality data for development planning needs. An important process in realizing quality data is standardized, effective and efficient data processing activities. The activities consist of series of interconnected subprocesses, the results of a sub-process will become inputs for other subprocesses and involve various work units at headquarter, provincial and district level of BPS. Each work units utilizes information technology in the form of applications/specific software with different standard. These differences cause problems like data silo. The output, generated from each application, is not interconnected so that when there will be data comparison at the final stage of processing activities then the results are not the same for certain indicators/variables. Differences in application standards also often cause differences in data output format that can detain the next data processing activities by other work units because it needs the process of conversion or copying of data which frequently takes a lot of time. In addition, the data compilation process of the statistical activities is still done manually by merging several databases from disctrict level BPS and then provincial level BPS sends them to BPS headquarter via mail, email, and cloud storage. This process takes a lot of time and the results can not be directly viewed in real time by BPS headquarter if preliminary analysis will be conducted because it needs to wait for the data to arrive at BPS headquarter. <br /> <br /> <br /> The purpose of this research is to produce the design of statistical activity data processing service system that can realize system integration between the various activities. The design is done by using Service Oriented Architecture (SOA). The results were then tested with a prototype approach. The research is conducted by using service system engineering methodology. <br /> <br /> <br /> Evaluation of statistical activity data processing service system consists of 3 stages: evaluation of system design, black box testing and User Acceptance Test (UAT) for the prototype. The results of design evaluation indicate that the design has met the principles of SOA which are loosely coupled, high cohesion level, low complexity, and high reusability. While the test results using black box and UAT indicate that the prototype of service system is functioned well, accepted by the user, and can realize the system integration of various process in data processing.<p align="justify"> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify">Data have an important role in development planning for the government as the basis to make appropriate policies for the benefit of the community. Data are obtained through statistical activities such as census and survey. Badan Pusat Statistik (BPS-Statistics Indonesia) is government statistical institution in charge of providing quality data for development planning needs. An important process in realizing quality data is standardized, effective and efficient data processing activities. The activities consist of series of interconnected subprocesses, the results of a sub-process will become inputs for other subprocesses and involve various work units at headquarter, provincial and district level of BPS. Each work units utilizes information technology in the form of applications/specific software with different standard. These differences cause problems like data silo. The output, generated from each application, is not interconnected so that when there will be data comparison at the final stage of processing activities then the results are not the same for certain indicators/variables. Differences in application standards also often cause differences in data output format that can detain the next data processing activities by other work units because it needs the process of conversion or copying of data which frequently takes a lot of time. In addition, the data compilation process of the statistical activities is still done manually by merging several databases from disctrict level BPS and then provincial level BPS sends them to BPS headquarter via mail, email, and cloud storage. This process takes a lot of time and the results can not be directly viewed in real time by BPS headquarter if preliminary analysis will be conducted because it needs to wait for the data to arrive at BPS headquarter. <br /> <br /> <br /> The purpose of this research is to produce the design of statistical activity data processing service system that can realize system integration between the various activities. The design is done by using Service Oriented Architecture (SOA). The results were then tested with a prototype approach. The research is conducted by using service system engineering methodology. <br /> <br /> <br /> Evaluation of statistical activity data processing service system consists of 3 stages: evaluation of system design, black box testing and User Acceptance Test (UAT) for the prototype. The results of design evaluation indicate that the design has met the principles of SOA which are loosely coupled, high cohesion level, low complexity, and high reusability. While the test results using black box and UAT indicate that the prototype of service system is functioned well, accepted by the user, and can realize the system integration of various process in data processing.<p align="justify">
format Theses
author SITI NUROCHMAH - NIM: 23216061, AMALIA
spellingShingle SITI NUROCHMAH - NIM: 23216061, AMALIA
STATISTICAL ACTIVITY DATA PROCESSING SERVICE SYSTEM ENGINEERING BASED ON SERVICE ORIENTED ARCHITECTURE (SOA) (Case Study: BPS-Statistics Indonesia)
author_facet SITI NUROCHMAH - NIM: 23216061, AMALIA
author_sort SITI NUROCHMAH - NIM: 23216061, AMALIA
title STATISTICAL ACTIVITY DATA PROCESSING SERVICE SYSTEM ENGINEERING BASED ON SERVICE ORIENTED ARCHITECTURE (SOA) (Case Study: BPS-Statistics Indonesia)
title_short STATISTICAL ACTIVITY DATA PROCESSING SERVICE SYSTEM ENGINEERING BASED ON SERVICE ORIENTED ARCHITECTURE (SOA) (Case Study: BPS-Statistics Indonesia)
title_full STATISTICAL ACTIVITY DATA PROCESSING SERVICE SYSTEM ENGINEERING BASED ON SERVICE ORIENTED ARCHITECTURE (SOA) (Case Study: BPS-Statistics Indonesia)
title_fullStr STATISTICAL ACTIVITY DATA PROCESSING SERVICE SYSTEM ENGINEERING BASED ON SERVICE ORIENTED ARCHITECTURE (SOA) (Case Study: BPS-Statistics Indonesia)
title_full_unstemmed STATISTICAL ACTIVITY DATA PROCESSING SERVICE SYSTEM ENGINEERING BASED ON SERVICE ORIENTED ARCHITECTURE (SOA) (Case Study: BPS-Statistics Indonesia)
title_sort statistical activity data processing service system engineering based on service oriented architecture (soa) (case study: bps-statistics indonesia)
url https://digilib.itb.ac.id/gdl/view/25437
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