Irfan Wahyudin, Salmah

Judul	:	A Big Data Architecture to Support Bank Digital Campaign
Abstrak	:	Bank marketers still have difficulties to find the best implementation for credit card promotion using above the line, particularly based on customers preferences in point of interest (POI) locations such as mall and shopping center. On the other hand, customers on those POIs are keen to have recommendation on what is being offered by the bank. On this paper we propose a design architecture and implementation of big data platform to support bank’s credit card’s program campaign that generating data and extracting topics from Twitter. We built a data pipeline that consist of a Twitter streamer, a text preprocessor, a topic extractor using Latent Dirichlet Allocation, and a dashboard that visualize the recommendation. As a result, we successfully generate topics that related to specific location in Jakarta during some time windows, that can be used as a recommendation for bank marketers to create promotion program for their customers. We also present the analysis of computing power usages that indicates the strategy is well implemented on the big data platform.
Tahun	:	2018	Media Publikasi	:	jurnal internasional
Kategori	:	Jurnal	No/Vol/Tahun	:	- / 8 / 2019
ISSN/ISBN	:	2277-3878
PTN/S	:	Universitas Pakuan	Program Studi	:	ILMU KOMPUTER
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