Komparasi Ketepatan Prediksi Pendapatan Operasional Pada Kelompok Kegiatan Usaha Bank Perkreditan Rakyat Di Jawa Timur

  • Zainul Hidayat STIE Widya Gama Lumajang
  • Jesi Irwanto STIE Widya Gama Lumajang
Keywords: Operating Income, Least Square, Product Moment, Semi Avarage

Abstract

Banking activities aim to achieve optimal profit, one of them through operating income. Every year banks are required to plan budgets, therefore banks need to know accurate operational revenue predictions. This study aims to compare the results of the analysis of the operating revenue prediction using product moment, least square and semi average methods, and to determine the method that has accurate prediction of operating income in the BPR business group in East Java. Research sample consist of 4 (four) BPR category of business activity 1 and 4 (four) BPR category of business activity 2. The calculation performed on each BPR using 3 (three) prediction method give different result. Accurate prediction method used to predict the operational income of BPR category of business activity 1 is least square method, whereas in BPR category of business activity 2 then accurate prediction method to predict operational income is product moment method. Overall least square method and product moment method is an accurate method of predicting operating income at the BPR. The method of prediction of operating income at each BPR will be different because it depends on the character and activities of the bank concerned. Therefore for the next researcher is suggested to do research with research object wider.

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Published
2018-08-24