Browsing by Author "Ilmadinah, Mizaqqul"

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    DIAGRAM KONTROL EXPONENTIALLY WEIGHTED MOVING AVERAGE POISSON PADA KASUS JUMLAH KECELAKAAN LALU LINTAS KOTA PEKANBARU
    (Elfitra, 2022-06) Ilmadinah, Mizaqqul; Harison, Harison
    The high population in Pekanbaru City requires a statistical control process on the number of traffic accidents that occur. Controlling of the number of accidents is carried out to monitor the level of accidents that occur so that it can be used for accident evaluation. Statistical quality control is a technique used in controlling and monitoring a process with statistical methods. The research has been conducted using the EWMA Poisson control chart for attribute data as a control tool with data on the number of traffic accidents in Pekanbaru City in January 2017-December 2021. The analysis was carried out with different weight values of λ (0<λ≤1) so as to give the results of the control chart Poisson's EWMA with different plot patterns. By using variance λ that are 1,0; 0,9; 0,7; 0,5; 0,3; 0,2; 0,1 indicates that the resulting control chart is more sensitive when the weight value of decreases. Sensitivity is seen based on the number of sample points that are outside the control limits of UCL and LCL.
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    DIAGRAM KONTROL EXPONENTIALLY WEIGHTED MOVING AVERAGE POISSON PADA KASUS JUMLAH KECELAKAAN LALU LINTAS KOTA PEKANBARU
    (Elfitra, 2022-06) Ilmadinah, Mizaqqul; Harison, Harison
    The high population in Pekanbaru City requires a statistical control process on the number of traffic accidents that occur. Controlling of the number of accidents is carried out to monitor the level of accidents that occur so that it can be used for accident evaluation. Statistical quality control is a technique used in controlling and monitoring a process with statistical methods. The research has been conducted using the EWMA Poisson control chart for attribute data as a control tool with data on the number of traffic accidents in Pekanbaru City in January 2017-December 2021. The analysis was carried out with different weight values of λ (0<λ≤1) so as to give the results of the control chart Poisson's EWMA with different plot patterns. By using variance λ that are 1,0; 0,9; 0,7; 0,5; 0,3; 0,2; 0,1 indicates that the resulting control chart is more sensitive when the weight value of decreases. Sensitivity is seen based on the number of sample points that are outside the control limits of UCL and LCL.