[ABSTRAK
PT. XYZ merupakan perusahaan telekomunikasi di Indonesia yang sedangberusaha mentransformasikan bisnisnya menuju layanan broadband dan bisnisdigital. Banyak peluang bisnis di layanan broadband dan bisnis digital yang dapatdiidentifikasi dengan memproses dan menganalisis data dengan cepat, tepat, danmenyeluruh. Saat ini PT. XYZ telah memiliki kemampuan dalam mengolahbeberapa sumber data yang terstruktur dengan ukuran data yang terbatas. Untukmembuat perhitungan dan keputusan yang jitu, terutama di layanan broadband danbisnis digital, PT. XYZ dituntut juga untuk bisa memproses dan menganalisis datayang memiliki karakteristik 3V (Velocity, Volume, Variety) atau dikenal dengan bigdata. Penelitian ini bertujuan untuk merancang arsitektur sistem pemrosesan bigdata di PT. XYZ. Kerangka arsitektur (framework) enteprise yang digunakan dalampenelitian ini adalah TOGAF. Hasil yang diperoleh dari penelitian ini adalahrancangan arsitektur sistem pemrosesan big data yang mampu mengolah data yangmemiliki karakteristik 3V, yaitu aliran data yang cepat, berukuran masiv, danberanekaragam (terstruktur maupun tidak terstruktur) dengan biaya lebih rendahdari sistem pemrosesan data yang dimiliki PT. XYZ saat ini. Saran untuk penelitianini kedepannya adalah sistem pemrosesan big data di PT. XYZ dapatdiimplementasikan dengan baik jika mendapat dukungan penuh dari manajemenperusahaan, dimulai dengan kasus bisnis yang spesifik (specific business case) yangingin disasar. Hasil yang maksimal dari kasus bisnis tersebut dapat dijadikanlandasan untuk investasi sistem pemrosesan big data yang lebih menyeluruh dalammendukung transformasi bisnis menuju layanan broadband dan bisnis digital.
ABSTRACT
PT. XYZ is a telecommunication company in Indonesia which is transforming it's business to broadband services & digital business. Many business opportunities in broadband services & digital business can be identified by processing and analyzing data quickly, accurately, and completely. Right now PT. XYZ has the capability in processing some structured data sources with limited data size. To make accurate calculations and decisions, especially in broadband services and digital business, PT. XYZ also required to be able to process and analyze the data that has the characteristics of 3V (Velocity, Volume, Variety) or known as big data. This research aims to design the architecture of big data processing system. The enterprise architecture framework used in this study is TOGAF. The results obtained from this study is the design of big data processing system architecture that is capable of processing data which has the characteristics of 3V (the fast dataflow, massive data size, and diverse structured or unstructured data sources) at a lower cost than the current data processing system in PT. XYZ. The suggestion about this study is the big data processing system can be implemented properly in PT. XYZ with the full support of the PT. XYZ management, started with a specific business use case that want targeted. The maximum results from the business use case can be used as a piloting for big data processing system investments morethorough in supporting business transformation toward broadband services and digital business. ;PT. XYZ is a telecommunication company in Indonesia which is transforming it?s business to broadband services & digital business. Many business opportunities inbroadband services & digital business can be identified by processing and analyzing data quickly, accurately, and completely. Right now PT. XYZ has the capability inprocessing some structured data sources with limited data size. To make accuratecalculations and decisions, especially in broadband services and digital business,PT. XYZ also required to be able to process and analyze the data that has thecharacteristics of 3V (Velocity, Volume, Variety) or known as big data. Thisresearch aims to design the architecture of big data processing system. Theenterprise architecture framework used in this study is TOGAF. The resultsobtained from this study is the design of big data processing system architecturethat is capable of processing data which has the characteristics of 3V (the fast dataflow, massive data size, and diverse structured or unstructured data sources) at alower cost than the current data processing system in PT. XYZ. The suggestionabout this study is the big data processing system can be implemented properly inPT. XYZ with the full support of the PT. XYZ management, started with a specificbusiness use case that want targeted. The maximum results from the business usecase can be used as a piloting for big data processing system investments morethorough in supporting business transformation toward broadband services anddigital business. , PT. XYZ is a telecommunication company in Indonesia which is transforming it’s business to broadband services & digital business. Many business opportunities inbroadband services & digital business can be identified by processing and analyzing data quickly, accurately, and completely. Right now PT. XYZ has the capability inprocessing some structured data sources with limited data size. To make accuratecalculations and decisions, especially in broadband services and digital business,PT. XYZ also required to be able to process and analyze the data that has thecharacteristics of 3V (Velocity, Volume, Variety) or known as big data. Thisresearch aims to design the architecture of big data processing system. Theenterprise architecture framework used in this study is TOGAF. The resultsobtained from this study is the design of big data processing system architecturethat is capable of processing data which has the characteristics of 3V (the fast dataflow, massive data size, and diverse structured or unstructured data sources) at alower cost than the current data processing system in PT. XYZ. The suggestionabout this study is the big data processing system can be implemented properly inPT. XYZ with the full support of the PT. XYZ management, started with a specificbusiness use case that want targeted. The maximum results from the business usecase can be used as a piloting for big data processing system investments morethorough in supporting business transformation toward broadband services anddigital business. ] |
TA-Panji Winata.pdf :: Unduh