Rancang Bangun Aplikasi Peramalan Laba dengan Metode Kuadrat Terkecil Berbasis Android
Studi Kasus: PT Tri Panji Gemilang
Abstract
The advancement of technology effects in increasing competition between companies. Because of that, companies need more than just raw information, but rather some insight that can help companies to make decisions in the future regarding all the possibilities that can happen. The data that can help the company to make decisions is a forecasting earnings because it can help predict the state of the company has right now, and also can help to make a better decision in the future. Therefore, this study discusses about the design and development of forecasting earnings application using Least Squares Method which will create an equation with the formula, y = ax + b. The method will be implemented based on Android OS at PT TRI PANJI GEMILANG using data from January 2005 to December 2013 (108 months) for data forecasting, and the data used to check the error is data from January 2014 to May 2015 (17 months). Forecasting results have a mean absolute percentage error (MAPE) about 8.26%, with an accuracy of forecasting results about 91.74%.
Keywords: android, forecasting, least squares method, profits
Downloads
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike International License (CC-BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Copyright without Restrictions
The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
The submitted papers are assumed to contain no proprietary material unprotected by patent or patent application; responsibility for technical content and for protection of proprietary material rests solely with the author(s) and their organizations and is not the responsibility of the ULTIMATICS or its Editorial Staff. The main (first/corresponding) author is responsible for ensuring that the article has been seen and approved by all the other authors. It is the responsibility of the author to obtain all necessary copyright release permissions for the use of any copyrighted materials in the manuscript prior to the submission.
