Sales Transaction Result Analysis for Increase Prediction of Income

Authors

DOI:

https://doi.org/10.21111/fij.v3i2.2286

Keywords:

Transaction, Prediction, Inflation

Abstract

The use of data that has long stored in the information system can be utilized to know information that supports decision-making activities. One of them is sales transaction data. During this time, the case of sales transaction data is rarely analyzed to be taken into consideration when taking a decision, such as analyzing the transaction data. The prediction analysis of the transaction should analyze the inflation factors that affect earnings. It is predicted that inflation will lead to an increase in the price of basic necessities which can also lead to employers tend to raise the price of products to be sold. Therefore, this research focuses to analyze sales transaction data at a restaurant. Where the data used is data that has been stored for 3 years within the period 2015-2017. The purpose of this study is to determine the quality comparison of sales predictions of sales between years with regard to inflation based on changes in selling prices. The result of the study is known that the prediction of goods sold with actual data in the following year is quite significant and the prediction of income is not affected by the inflation based on price comparison.

References

T. Vinayagathasan, “Inflation and economic growth: A dynamic panel threshold analysis for Asian economies,” J. Asian Econ., vol. 26, p. 31–41., 2013.

S. Gerlach and T. Peter, “Inflation targeting and inflation persistence in Asia–Pacific,” J. Asian Econ., vol. 24, no. 4, pp. 360–373, 2012.

S. Osmekhin and F. Déléze, “Application of continuous-time random walk to statistical arbitrage,” J. Eng. Sci. Technol. Rev., vol. 8, no. 1, pp. 91–95, 2015.

J. D. Keller, L. Kornblueh, A. Hense, and A. Rhodin, “Towards a GME ensemble forecasting system: Ensemble initialization using the breeding technique,” Meteorol. Zeitschrift, vol. 17, no. 6, pp. 707–718, Dec. 2008.

D. Airinei and D. Berta, “Semantic Business Intelligence - a New Generation of Business Intelligence,” Inform. Econ., vol. 16, no. 2, pp. 72–80, 2012.

E. Turban, J. E. Aronson, and T.-P. Liang, Decision Support Systems and Business Intelligence, 7th ed. New Delhi: Prentice-Hall Inc, 2007.

S. Alessandrini, F. Davò, S. Sperati, M. Benini, and L. Delle Monache, “Comparison of the economic impact of different wind power forecast systems for producers,” Adv. Sci. Res, vol. 11, pp. 49–53, 2014.

M. Mirabela, F. Ianc, and L. Ciurlău, “The Price Stability-Important Lever within the Economy,” Ovidius Univ. Ann. Econ. Sci. Ser., vol. 16, no. 2, 2016.

J. R. Arnold and N. S. Chapman, Introduction to Material Management. New Jersey: Prentice-Hall Inc, 2004.

S. O. Hansson, Decision Theory, vol. 19, no. 1. Stockholm: Royal Institute of Technology, 2005.

J. O. Rawlings, S. G. Pantula, and D. a. Dickey, Applied Regression Analysis: A Research Tool, 2nd ed. New York: Springer-Verlag New York, 1998.

P. Jain, S. . Mani, L. . Charles, and A. Muzaffar, “Utility of Peak Expiratory Flow Monitoring,” CHEST Cardiopulm. Crit. Care J., no. 114, p. pp : 861-876., 1998.

M. Şahin and R. Erol, “A Comparative Study of Neural Networks and ANFIS for Forecasting Attendance Rate of Soccer Games,” Math. Comput. Appl., vol. 22, no. 4, p. 43, 2017.

J. M. Corrêa, A. C. Neto, L. A. T. Júnior, E. M. Carreño, and Á. E. Faria, “Linear combination of forecasts with numerical adjustment via MINIMAX non-linear programming,” GEPROS Gestão da Produção, Operações e Sist., vol. 11, no. 1, pp. 79–95, 2016.

Sucipto, Kusrini, and E. L. Taufiq, “Classification method of multi-class on C4.5 algorithm for fish diseases,” in Proceeding - 2016 2nd International Conference on Science in Information Technology, ICSITech 2016: Information Science for Green Society and Environment, 2016, pp. 5–9.

M. Inthachot, V. Boonjing, and S. Intakosum, “Artificial Neural Network and Genetic Algorithm Hybrid Intelligence for Predicting Thai Stock Price Index Trend,” Comput. Intell. Neurosci., vol. 2016, pp. 1–8, Nov. 2016.

E. M. F. El Houby, “A framework for prediction of response to HCV therapy using different data mining techniques.,” Adv. Bioinformatics, vol. 2014, p. 181056, Dec. 2014.

X. Q. Sun, H. W. Shen, X. Q. Cheng, and Y. Zhang, “Market Confidence Predicts Stock Price: Beyond Supply and Demand,” PLoS One, vol. 11, no. 7, pp. 1–10, 2016.

R. Myšková, P. Hájek, and V. Olej, “Predicting Abnormal Stock Return Volatility Using Textual Analysis of News ‒ A Meta-Learning Approach,” Amfiteatru Econ., vol. 20, no. 47, pp. 185–202, 2018.

W. Charles Lawrence Kamuyu, J. Lim, C. Won, and H. Ahn, “Prediction Model of Photovoltaic Module Temperature for Power Performance of Floating PVs,” Energies, vol. 11, no. 2, p. 447, Feb. 2018.

P. Houdek, “A Perspective on Consumers 3.0: They Are Not Better Decision-Makers than Previous Generations,” Front. Psychol., vol. 7, p. 848, Jun. 2016.

G. Ranco, I. Bordino, G. Bormetti, G. Caldarelli, F. Lillo, and M. Treccani, “Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics,” PLoS One, vol. 11, no. 1, pp. 1–14, 2016.

Downloads

Submitted

2018-07-15

Accepted

2018-10-06

Published

2018-11-10

Issue

Vol. 3 No. 2 (2018): November

Section

Articles

License

Please find the rights and licenses in the Fountain of Informatics Journal (FIJ). By submitting the article/manuscript of the article, the author(s) agree with this policy. No specific document sign-off is required.

1. License

The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. 

2. Author(s)' Warranties

The author warrants that the article is original, written by the stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author, and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s).

3. User/Public Rights

FIJ's spirit is to disseminate articles published are as free as possible. Under the Creative Commons license, FIJ permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and FIJ on distributing works in the journal and other media of publications. Unless otherwise stated, the authors are public entities as soon as their articles got published. 

4. Rights of Authors

Authors retain all their rights to the published works, such as (but not limited to) the following rights;

  • Copyright and other proprietary rights relating to the article, such as patent rights,
  • The right to use the substance of the article in own future works, including lectures and books,
  • The right to reproduce the article for own purposes,
  • The right to self-archive the article (please read out deposit policy),
  • The right to enter into separate, additional contractual arrangements for the non-exclusive distribution of the article's published version (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal (Jurnal Optimasi Sistem Industri).

5. Co-Authorship

If the article was jointly prepared by more than one author, any authors submitting the manuscript warrants that he/she has been authorized by all co-authors to be agreed on this copyright and license notice (agreement) on their behalf, and agrees to inform his/her co-authors of the terms of this policy. FIJ will not be held liable for anything that may arise due to the author(s) internal dispute. FIJ will only communicate with the corresponding author.

6. Royalties

Being an open accessed journal and disseminating articles for free under the Creative Commons license term mentioned, author(s) aware that FIJ entitles the author(s) to no royalties or other fees. 

7. Miscellaneous

FIJ will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed. FIJ's editors may modify the article to a style of punctuation, spelling, capitalization, referencing, and usage that deems appropriate. The author acknowledges that the article may be published so that it will be publicly accessible and such access will be free of charge for the readers as mentioned in point 3.