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PENERAPAN DIAGRAM PENGENDALI NONPARAMETRIK EXPONENTIALLY WEIGHTED MOVING AVERAGE SIGN UNTUK ANALISIS PERGERAKAN HARGA SAHAM SEKTOR PROPERTI

*Radian Lukman  -  Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Mustafid Mustafid  -  Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Sugito Sugito  -  Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Open Access Copyright 2023 Jurnal Gaussian under http://creativecommons.org/licenses/by-nc-sa/4.0.

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Abstract

Stocks are evidence of equity participation in a company. Investors need to know the quality of stock prices so that they can minimize losses when investing. Technical analysis can be used by investors to decide when to buy or sell a stock. One of the technical analysis that can be used on stock prices is using quality control. Control charts can be used to make decisions in stock trading activities. The Exponentially Weighted Moving Average control chart is very useful for detecting small shifts such as in financial data. The assumption that must be fulfilled in using the EWMA control chart is that the data is normally distributed. The non-fulfillment of the normal distribution assumption causes the EWMA control chart produces plots that are far from the control limits. This problem can be solved using the nonparametric EWMA Sign control chart. The construction of the nonparametric EWMA Sign control chart on stock prices is expected to overcome the limitations of the standard EWMA control chart and provide a signal to investors to know the best time to trade stocks. The data used in this study is the daily closing price data of PT Bumi Serpong Damai Tbk on March 1, 2021 to March 4, 2022 with a total of 250 data. The nonparametric EWMA Sign control chart shows that the daily closing price data is out of control because it produces plots that are spread out non-randomly and shows a relatively similar pattern.

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Keywords: Stock Price; Control Chart; Nonparametric EWMA Sign.

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  1. Azis, M., Mintarti, S., dan Nadir, M. 2017. Manajemen Investasi Fundamental, Teknikal, Perilaku Investor dan Return Saham. Yogyakarta: Deepublish
  2. Assauri, S. 2004. Manajemen Pemasaran. Jakarta: Rajawali Press
  3. Bisiotis, K., Psarakis, S., dan Yannacopoulos, A. N. 2021. Control charts in financial applications: An overview. Quality and Reliability Engineering International, Hal: 1 – 22
  4. Brigham, E. F. dan Houston, J. F. 2018. Dasar-dasar Manajemen Keuangan. Jakarta: Salemba Empat
  5. Dumičić, K. dan Žmuk, B. 2015. Statistical Control Charts: Performances of Short Term Stock Trading in Croatia. Business Systems Research Vol. 6, No. 1, Hal: 22 – 35
  6. Edison, H. J. 2003. Do Indicators of Financial Crises Work? An Evaluation of an Early Warning System. International Journal of Finance and Economics Vol. 8, No. 1, Hal: 11 – 53
  7. Fahmi, I. 2012. Analisis Laporan Keuangan. Bandung: Alfabeta
  8. Haming, M. dan Basalamah, S. 2013. Studi Kelayakan Investasi Proyek & Bisnis. Jakarta: Bumi Aksara
  9. Koyuncugil, A. S. dan Ozgulbas, N. 2012. Financial Early Warning System Model and Data Mining Application for Risk Detection. Expert Systems with Applications Vol. No. 6, Hal: 6238 – 6253
  10. Lucas, J. M. dan Saccucci, M.S. 1990. Statistical Control Charts: Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements. Technometrics Vol. 32, No. 1, Hal: 1 – 12
  11. Montgomery, D. C. 2013. Introduction to Statistical Quality Control, Seventh Edition. United States of America: John Wiley & Sons, Inc
  12. Santoso, B. 2008. Berinvestasi Pada Properti. Jakarta: Elex Media Komputindo
  13. Widoatmodjo, S. 2012. Cara Sehat Investasi di Pasar Modal. Jakarta: Elex Media Komputindo
  14. Wijaya, A. dan Ananta, W. P. 2017. Hukum Bisnis Properti di Indonesia. Jakarta: Grasindo
  15. Yang, S., Lin, J., dan Cheng, S. W. 2011. A new nonparametric EWMA Sign Control Chart. Experts Systems with Applications Vol. 38, No. 5, Hal: 6239 – 6243
  16. Žmuk, B. 2016. Capabilities of Statistical Residual-Based Control Charts in Short- and Long-Term Stock Trading. Our Economy Vol. 62, No.1, Hal: 12 – 26

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