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Performance Measurement Using the Balanced Scorecard and Business Intelligence in Logistics Companies

Vion Age Tricahyo(1), Tito Prabowo(2), Syehka Sofia Arya Larasati(3), Donatus Ray(4),


(1) Program Studi Ilmu Komputer, Universitas Nahdlatul Ulama Blitar, Blitar
(2) Program Studi Ilmu Komputer, Universitas Nahdlatul Ulama Blitar, Blitar
(3) Program Studi Ilmu Komputer, Universitas Nahdlatul Ulama Blitar, Blitar
(4) Computer Science Department, BINUS Graduate Program, Bina Nusantara University, Jakarta
Corresponding Author

Abstract


Smart companies should have technological advantages to improve their performance. The research used is a case study of courier and cargo business in collaboration with a rail transportation company. The existing data is processed by applying a Balanced Scorecard and Business Intelligence which aims to support decisions and get great benefits for the company. Data is retrieved for 3 months in the data warehouse. Data operations and processing are carried out to determine which perspectives have a great influence and will help stakeholders in the company get accurate results from patterns. The use of decision tree c 4.5 is used to support the analysis and result in an accuracy of more than 70%. The Kimball Method is used to assist in performance monitoring of data warehouses, customer and financial analysis as well as learning before decision making is made.

Keywords


Courier and Cargo, Balance Scorecard, Business Intelligence, Data Mining, Data Warehouse, Decision Tree

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DOI: 10.56327/jtksi.v5i3.1201

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