INSIDEN RATE INFEKSI ALIRAN DARAH (IAD) DI RSCM TAHUN
2011-2012
Edukasi PPIKebersihan tanganRondeDukungan manajeman
DOK.GR 2013
Chart1
2.822100511.670004473.5
0.87007973981.64220129993.5
18.60593213731.98539129613.5
10.36435868870.85936023443.5
25.23163121110.39556962033.5
0.32801830650.82491038013.5
6.54710809661.23487426733.5
21.61540202691.8233189693.5
3.3132479530.62150403983.5
1.88141812741.1897899643.5
0.46704588311.78845056783.5
0.46569266310.35355122563.5
Edukasi PPI
Ronde
2011
2012
Target 1
The CPL index is the lower capability index for when you are
only given a lower spec limit, LSL. You want a CPL > 1.
The Cpk index is used when the process mean is shifted away from
the target value, or the point half way between the spec limits. It
is the minimum of the CPU and CPL. You want a Cpk>1.
Percent Yield measures the proportion of the output that is
within the spec limits, assuming a Normal population
distribution.
Probability of a Type I Error (a):If a sample value falls
outside the control limits, we would conclude that the process is
out of control. A Type I error is made when the process is
concluded to be out of control when it is really in control. This
probability is calculated assuming a normal distribution for the
process.
In-Control Average Run Length:If the process is in-control, the
ARL is the number of samples, on average, you would observe before
getting an out-of-control signal. In other words, you expect to get
a false alarm (a point outside the control limits) every N samples,
where N is the ARL.
X-bar is the sample mean calculated as the sum of the
observations divided by the number of observations in the sample
(n).
The range for each sample is calculated as the Max value minus
the Min value.
Instructions:
This Control Chart template creates an X-bar Chart and R Chart
with control limits calculated from values contained in the data
table. All samples are assumed to be the same size.
- Enter the label and the sample size for the quality
characteristic that you are monitoring.- Choose a k-value
(typically 3) for setting the control limits.- Replace the X-bar
and Range values in the Data Table with your own data set (use
Paste Special - Values).- You can delete unused rows in the data
table.- If you need to insert additional rows in the data table,
insert rows above the gray line below the table so that series in
the chart expand accordingly. Copy the formulas for CL, UCL, and
LCL to fill in the blank spaces.- The labels for CL, UCL, and LCL
within the chart are created by selecting the last Data Point and
formatting it so that the Data Labels include both the Series name
and the Value.
XbarR IAD
X-bar
CL
UCL
LCL
Bulan
Jumlah hari pemasangan ventilator/1000
XbarR ISK
Range
CL
UCL
Sample #
Range
XbarR HAP
Control Chart for Mean and Range
[Title or Process] 2009 Vertex42 LLC
[Date]HELP
Quality CharacteristicAverage Thickness (mm), X-bar
Sample Size, n16
k1
Statistics from Data TableProcess Capability
R-bar8.011Upper Spec Limit, USL40
Process Mean, m-hat0.750Lower Spec Limit, LSL30
Process St.Dev., s-hat2.268Cp0.735
sX-bar0.567CPU5.769
CPL-4.299
Cpk-4.299
Percent Yield0.00%
Control Limits for X-bar ChartControl Limits for R Chart
CLX-bar0.750CLR8.011
UCLX-bar1.317CL+ksX-barUCLR9.712
LCLX-bar0.183CL-ksX-barLCLR6.310
a0.3173
ARL3.2samples
Data TableX-bar ChartR Chart
BulanX-barRangeCLUCLLCLCLUCLLCL
10.869.710.7501.3170.1838.0119.7126.310
22.0520.830.7501.3170.1838.0119.7126.310
30.060.990.7501.3170.1838.0119.7126.310
40.615.750.7501.3170.1838.0119.7126.310
50.172.770.7501.3170.1838.0119.7126.310
60.506.210.7501.3170.1838.0119.7126.310
70.513.380.7501.3170.1838.0119.7126.310
80.446.080.7501.3170.1838.0119.7126.310
90.8613.700.7501.3170.1838.0119.7126.310
100.232.750.7501.3170.1838.0119.7126.310
110.636.900.7501.3170.1838.0119.7126.310
121.0610.870.7501.3170.1838.0119.7126.310
&L&8 2009 Vertex42 LLC&R&8Templates by
Vertex42.com
The number of measurements within each sample. For this chart,
all samples are assumed to be the same size. In this spreadsheet,
the sample size must be between 2 and 25.
The k-value is number of standard deviations (typically 3) that
the upper and lower control limits are placed away from the center
line.
R-bar is the mean of the Ranges in the data table and is used as
the center line for the R-Chart.
The estimated process mean is calculated as the mean of the
X-bar values from the data table. It is used as the Center Line for
the X-bar Chart.
The estimated process standard deviation.
The Cp index is calculated as (USL-LSL)/(6*sigma) where sigma is
the process standard deviation. You want Cp to be greater than
1.
This is the standard deviation of the sample mean, calculated as
the process standard deviation divided by the square root of the
sample size.
The CPU index is the upper capability index for when you are
only given an upper spec limit, USL. You want CPU > 1
The CPL index is the lower capability index for when you are
only given a lower spec limit, LSL. You want a CPL > 1.
The Cpk index is used when the process mean is shifted away from
the target value, or the point half way between the spec limits. It
is the minimum of the CPU and CPL. You want a Cpk>1.
Percent Yield measures the proportion of the output that is
within the spec limits, assuming a Normal population
distribution.
Probability of a Type I Error (a):If a sample value falls
outside the control limits, we would conclude that the process is
out of control. A Type I error is made when the process is
concluded to be out of control when it is really in control. This
probability is calculated assuming a normal distribution for the
process.
In-Control Average Run Length:If the process is in-control, the
ARL is the number of samples, on average, you would observe before
getting an out-of-control signal. In other words, you expect to get
a false alarm (a point outside the control limits) every N samples,
where N is the ARL.
X-bar is the sample mean calculated as the sum of the
observations divided by the number of observations in the sample
(n).
The range for each sample is calculated as the Max value minus
the Min value.
Instructions:
This Control Chart template creates an X-bar Chart and R Chart
with control limits calculated from values contained in the data
table. All samples are assumed to be the same size.
- Enter the label and the sample size for the quality
characteristic that you are monitoring.- Choose a k-value
(typically 3) for setting the control limits.- Replace the X-bar
and Range values in the Data Table with your own data set (use
Paste Special - Values).- You can delete unused rows in the data
table.- If you need to insert additional rows in the data table,
insert rows above the gray line below the table so that series in
the chart expand accordingly. Copy the formulas for CL, UCL, and
LCL to fill in the blank spaces.- The labels for CL, UCL, and LCL
within the chart are created by selecting the last Data Point and
formatting it so that the Data Labels include both the Series name
and the Value.
XbarR HAP
X-bar
CL
UCL
LCL
Bulan
Jumlah hari pemasangan ventilator/1000
XbarR PLEBITIS
Range
CL
UCL
Sample #
Range
XbarR DEKUBITUS
Control Chart for Mean and Range
[Title or Process] 2009 Vertex42 LLC
[Date]HELP
Quality CharacteristicAverage Thickness (mm), X-bar
Sample Size, n16
k1
Statistics from Data TableProcess Capability
R-bar8.973Upper Spec Limit, USL40
Process Mean, m-hat1.103Lower Spec Limit, LSL30
Process St.Dev., s-hat2.541Cp0.656
sX-bar0.635CPU5.103
CPL-3.791
Cpk-3.791
Percent Yield0.00%
Control Limits for X-bar ChartControl Limits for R Chart
CLX-bar1.103CLR8.973
UCLX-bar1.738CL+ksX-barUCLR10.879
LCLX-bar0.468CL-ksX-barLCLR7.068
a0.3173
ARL3.2samples
Data TableX-bar ChartR Chart
BulanX-barRangeCLUCLLCLCLUCLLCL
11.5914.491.1031.7380.4688.97310.8797.068
21.878.851.1031.7380.4688.97310.8797.068
30.132.141.1031.7380.4688.97310.8797.068
41.7417.241.1031.7380.4688.97310.8797.068
50.182.141.1031.7380.4688.97310.8797.068
60.354.911.1031.7380.4688.97310.8797.068
71.4621.281.1031.7380.4688.97310.8797.068
80.507.301.1031.7380.4688.97310.8797.068
90.284.541.1031.7380.4688.97310.8797.068
100.262.651.1031.7380.4688.97310.8797.068
110.484.261.1031.7380.4688.97310.8797.068
120.9810.001.1031.7380.4688.97310.8797.068
&L&8 2009 Vertex42 LLC&R&8Templates by
Vertex42.com
The number of measurements within each sample. For this chart,
all samples are assumed to be the same size. In this spreadsheet,
the sample size must be between 2 and 25.
The k-value is number of standard deviations (typically 3) that
the upper and lower control limits are placed away from the center
line.
R-bar is the mean of the Ranges in the data table and is used as
the center line for the R-Chart.
The estimated process mean is calculated as the mean of the
X-bar values from the data table. It is used as the Center Line for
the X-bar Chart.
The estimated process standard deviation.
The Cp index is calculated as (USL-LSL)/(6*sigma) where sigma is
the process standard deviation. You want Cp to be greater than
1.
This is the standard deviation of the sample mean, calculated as
the process standard deviation divided by the square root of the
sample size.
The CPU index is the upper capability index for when you are
only given an upper spec limit, USL. You want CPU > 1
The CPL index is the lower capability index for when you are
only given a lower spec limit, LSL. You want a CPL > 1.
The Cpk index is used when the process mean is shifted away from
the target value, or the point half way between the spec limits. It
is the minimum of the CPU and CPL. You want a Cpk>1.
Percent Yield measures the proportion of the output that is
within the spec limits, assuming a Normal population
distribution.
Probability of a Type I Error (a):If a sample value falls
outside the control limits, we would conclude that the process is
out of control. A Type I error is made when the process is
concluded to be out of control when it is really in control. This
probability is calculated assuming a normal distribution for the
process.
In-Control Average Run Length:If the process is in-control, the
ARL is the number of samples, on average, you would observe before
getting an out-of-control signal. In other words, you expect to get
a false alarm (a point outside the control limits) every N samples,
where N is the ARL.
X-bar is the sample mean calculated as the sum of the
observations divided by the number of observations in the sample
(n).
The range for each sample is calculated as the Max value minus
the Min value.
Instructions:
This Control Chart template creates an X-bar Chart and R Chart
with control limits calculated from values contained in the data
table. All samples are assumed to be the same size.
- Enter the label and the sample size for the quality
characteristic that you are monitoring.- Choose a k-value
(typically 3) for setting the control limits.- Replace the X-bar
and Range values in the Data Table with your own data set (use
Paste Special - Values).- You can delete unused rows in the data
table.- If you need to insert additional rows in the data table,
insert rows above the gray line below the table so that series in
the chart expand accordingly. Copy the formulas for CL, UCL, and
LCL to fill in the blank spaces.- The labels for CL, UCL, and LCL
within the chart are created by selecting the last Data Point and
formatting it so that the Data Labels include both the Series name
and the Value.
XbarR DEKUBITUS
X-bar
CL
UCL
LCL
Bulan
Jumlah hari pemasangan ventilator/1000
XbarS
Range
CL
UCL
Sample #
Range
TermsOfUse
Control Chart for Mean and Range
[Title or Process] 2009 Vertex42 LLC
[Date]HELP
Quality CharacteristicAverage Thickness (mm), X-bar
Sample Size, n16
k1
Statistics from Data TableProcess Capability
R-bar11.692Upper Spec Limit, USL40
Process Mean, m-hat1.286Lower Spec Limit, LSL30
Process St.Dev., s-hat3.310Cp0.503
sX-bar0.828CPU3.898
CPL-2.891
Cpk-2.891
Percent Yield0.00%
Control Limits for X-bar ChartControl Limits for R Chart
CLX-bar1.286CLR11.692
UCLX-bar2.114CL+ksX-barUCLR14.175
LCLX-bar0.458CL-ksX-barLCLR9.210
a0.3173
ARL3.2samples
Data TableX-bar ChartR Chart
BulanX-barRangeCLUCLLCLCLUCLLCL
11.6016.171.2862.1140.45811.69214.1759.210
21.5510.531.2862.1140.45811.69214.1759.210
30.707.161.2862.1140.45811.69214.1759.210
40.848.471.2862.1140.45811.69214.1759.210
51.7416.131.2862.1140.45811.69214.1759.210
60.352.001.2862.1140.45811.69214.1759.210
70.420.881.2862.1140.45811.69214.1759.210
80.071.131.2862.1140.45811.69214.1759.210
90.9610.101.2862.1140.45811.69214.1759.210
100.212.391.2862.1140.45811.69214.1759.210
110.010.231.2862.1140.45811.69214.1759.210
120.132.111.2862.1140.45811.69214.1759.210
&L&8 2009 Vertex42 LLC&R&8Templates by
Vertex42.com
The number of measurements within each sample. For this chart,
all samples are assumed to be the same size. In this spreadsheet,
the sample size must be between 2 and 25.
The k-value is number of standard deviations (typically 3) that
the upper and lower control limits are placed away from the center
line.
R-bar is the mean of the Ranges in the data table and is used as
the center line for the R-Chart.
The estimated process mean is calculated as the mean of the
X-bar values from the data table. It is used as the Center Line for
the X-bar Chart.
The estimated process standard deviation.
The Cp index is calculated as (USL-LSL)/(6*sigma) where sigma is
the process standard deviation. You want Cp to be greater than
1.
This is the standard deviation of the sample mean, calculated as
the process standard deviation divided by the square root of the
sample size.
The CPU index is the upper capability index for when you are
only given an upper spec limit, USL. You want CPU > 1
The CPL index is the lower capability index for when you are
only given a lower spec limit, LSL. You want a CPL > 1.
The Cpk index is used when the process mean is shifted away from
the target value, or the point half way between the spec limits. It
is the minimum of the CPU and CPL. You want a Cpk>1.
Percent Yield measures the proportion of the output that is
within the spec limits, assuming a Normal population
distribution.
Probability of a Type I Error (a):If a sample value falls
outside the control limits, we would conclude that the process is
out of control. A Type I error is made when the process is
concluded to be out of control when it is really in control. This
probability is calculated assuming a normal distribution for the
process.
In-Control Average Run Length:If the process is in-control, the
ARL is the number of samples, on average, you would observe before
getting an out-of-control signal. In other words, you expect to get
a false alarm (a point outside the control limits) every N samples,
where N is the ARL.
X-bar is the sample mean calculated as the sum of the
observations divided by the number of observations in the sample
(n).
The range for each sample is calculated as the Max value minus
the Min value.
Instructions:
This Control Chart template creates an X-bar Chart and R Chart
with control limits calculated from values contained in the data
table. All samples are assumed to be the same size.
- Enter the label and the sample size for the quality
characteristic that you are monitoring.- Choose a k-value
(typically 3) for setting the control limits.- Replace the X-bar
and Range values in the Data Table with your own data set (use
Paste Special - Values).- You can delete unused rows in the data
table.- If you need to insert additional rows in the data table,
insert rows above the gray line below the table so that series in
the chart expand accordingly. Copy the formulas for CL, UCL, and
LCL to fill in the blank spaces.- The labels for CL, UCL, and LCL
within the chart are created by selecting the last Data Point and
formatting it so that the Data Labels include both the Series name
and the Value.
TermsOfUse
X-bar
CL
UCL
LCL
Bulan
Jumlah hari pemasangan ventilator/1000
Range
CL
UCL
Sample #
Range
IAD
Control Chart for Mean and Range
[Title or Process] 2009 Vertex42 LLC
[Date]HELP
Quality CharacteristicAverage Thickness (mm), X-bar
Sample Size, n16
k1
Statistics from Data TableProcess Capability
R-bar13.138Upper Spec Limit, USL40
Process Mean, m-hat1.059Lower Spec Limit, LSL30
Process St.Dev., s-hat3.720Cp0.448
sX-bar0.930CPU3.490
CPL-2.593
Cpk-2.593
Percent Yield0.00%
Control Limits for X-bar ChartControl Limits for R Chart
CLX-bar1.059CLR13.138
UCLX-bar1.989CL+ksX-barUCLR15.928
LCLX-bar0.129CL-ksX-barLCLR10.348
a0.3173
ARL3.2samples
Data TableX-bar ChartR Chart
BulanX-barRangeCLUCLLCLCLUCLLCL
12.0027.031.0591.9890.12913.13815.92810.348
20.9212.501.0591.9890.12913.13815.92810.348
30.8410.421.0591.9890.12913.13815.92810.348
41.4213.701.0591.9890.12913.13815.92810.348
50.132.051.0591.9890.12913.13815.92810.348
61.2712.501.0591.9890.12913.13815.92810.348
71.2411.491.0591.9890.12913.13815.92810.348
81.4112.051.0591.9890.12913.13815.92810.348
90.111.771.0591.9890.12913.13815.92810.348
100.362.651.0591.9890.12913.13815.92810.348
110.715.991.0591.9890.12913.13815.92810.348
122.2329.411.0591.9890.12913.13815.92810.348
&L&8 2009 Vertex42 LLC&R&8Templates by
Vertex42.com
The number of measurements within each sample. For this chart,
all samples are assumed to be the same size. In this spreadsheet,
the sample size must be between 2 and 25.
The k-value is number of standard deviations (typically 3) that
the upper and lower control limits are placed away from the center
line.
R-bar is the mean of the Ranges in the data table and is used as
the center line for the R-Chart.
The estimated process mean is calculated as the mean of the
X-bar values from the data table. It is used as the Center Line for
the X-bar Chart.
The estimated process standard deviation.
The Cp index is calculated as (USL-LSL)/(6*sigma) where sigma is
the process standard deviation. You want Cp to be greater than
1.
This is the standard deviation of the sample mean, calculated as
the process standard deviation divided by the square root of the
sample size.
The CPU index is the upper capability index for when you are
only given an upper spec limit, USL. You want CPU > 1
The CPL index is the lower capability index for when you are
only given a lower spec limit, LSL. You want a CPL > 1.
The Cpk index is used when the process mean is shifted away from
the target value, or the point half way between the spec limits. It
is the minimum of the CPU and CPL. You want a Cpk>1.
Percent Yield measures the proportion of the output that is
within the spec limits, assuming a Normal population
distribution.
Probability of a Type I Error (a):If a sample value falls
outside the control limits, we would conclude that the process is
out of control. A Type I error is made when the process is
concluded to be out of control when it is really in control. This
probability is calculated assuming a normal distribution for the
process.
In-Control Average Run Length:If the process is in-control, the
ARL is the number of samples, on average, you would observe before
getting an out-of-control signal. In other words, you expect to get
a false alarm (a point outside the control limits) every N samples,
where N is the ARL.
X-bar is the sample mean calculated as the sum of the
observations divided by the number of observations in the sample
(n).
The range for each sample is calculated as the Max value minus
the Min value.
Instructions:
This Control Chart template creates an X-bar Chart and R Chart
with control limits calculated from values contained in the data
table. All samples are assumed to be the same size.
- Enter the label and the sample size for the quality
characteristic that you are monitoring.- Choose a k-value
(typically 3) for setting the control limits.- Replace the X-bar
and Range values in the Data Table with your own data set (use
Paste Special - Values).- You can delete unused rows in the data
table.- If you need to insert additional rows in the data table,
insert rows above the gray line below the table so that series in
the chart expand accordingly. Copy the formulas for CL, UCL, and
LCL to fill in the blank spaces.- The labels for CL, UCL, and LCL
within the chart are created by selecting the last Data Point and
formatting it so that the Data Labels include both the Series name
and the Value.
IAD
X-bar
CL
UCL
LCL
Bulan
Jumlah hari pemasangan ventilator/1000
ISK
Range
CL
UCL
Sample #
Range
HAP
Control Chart for Mean and Standard Deviation
[Title or Process] 2009 Vertex42 LLC
[Date]HELP
Quality CharacteristicAverage Thickness (mm), X-bar
Sample Size, n4
k3
Statistics from Data TableProcess Capability
s-bar4.500Upper Spec Limit, USL45
c40.9213Lower Spec Limit, LSL25
Process St.Dev., s-hat4.884Cp0.682
Process Mean, m-hat44.167CPU0.057
sX-bar2.442CPL1.308
ss1.899Cpk0.057
Percent Yield56.77%
Control Limits for X-bar ChartControl Limits for S Chart
CLX-bar44.167CLS4.500
UCLX-bar51.493UCLS10.197
LCLX-bar36.840LCLS0.000
a0.0027
ARL370.4samples
Data TableX-bar ChartR Chart
BulanX-barSt. Dev., sCLUCLLCLCLUCLLCL
134444.16751.49336.8404.50010.1970.000
225544.16751.49336.8404.50010.1970.000
355644.16751.49336.8404.50010.1970.000
435344.16751.49336.8404.50010.1970.000
556644.16751.49336.8404.50010.1970.000
666544.16751.49336.8404.50010.1970.000
745344.16751.49336.8404.50010.1970.000
832644.16751.49336.8404.50010.1970.000
953544.16751.49336.8404.50010.1970.000
1053344.16751.49336.8404.50010.1970.000
1123444.16751.49336.8404.50010.1970.000
1253444.16751.49336.8404.50010.1970.000
&L&8 2009 Vertex42 LLC&R&8Templates by
Vertex42.com
Probability of a Type I Error (a):If a sample value falls
outside the control limits, we would conclude that the process is
out of control. A Type I error is made when the process is
concluded to be out of control when it is really in control. This
probability is calculated assuming a normal distribution for the
process.
The estimated process mean is calculated as the mean of the
X-bar values from the data table. It is used as the Center Line for
the X-bar Chart.
The estimated population standard deviation. This is calculated
by dividing s-bar by c4.
The number of measurements within each sample. For this chart,
all samples are assumed to be the same size. In this spreadsheet,
the sample size must be between 2 and 25.
The k-value is number of standard deviations (typically 3) that
the upper and lower control limits are placed away from the center
line.
In-Control Average Run Length:If the process is in-control, the
ARL is the number of samples, on average, you would observe before
getting an out-of-control signal. In other words, you expect to get
a false alarm (a point outside the control limits) every N samples,
where N is the ARL.
s-bar is the mean of the sample standard deviations from the
data table. It is the center line for the S Chart.
The sample standard deviation for each sample.
X-bar is the sample mean calculated as the sum of the
observations divided by the number of observations in the sample
(n).
This is the standard deviation of the sample mean, calculated as
the process standard deviation divided by the square root of the
sample size.
This is the standard deviation of the sample mean, calculated
from the estimated population standard deviation and c4.
c4 is a factor that depends on the sample size and can be found
tabulated in most control chart factor tables. Assuming the
population distribution is Normal, c4 is used to find the mean and
standard deviation of the sample standard deviation.
The Cp index is calculated as (USL-LSL)/(6*sigma) where sigma is
the process standard deviation. You want Cp to be greater than
1.
The CPU index is the upper capability index for when you are
only given an upper spec limit, USL. You want CPU > 1
The CPL index is the lower capability index for when you are
only given a lower spec limit, LSL. You want a CPL > 1.
The Cpk index is used when the process mean is shifted away from
the target value, or the point half way between the spec limits. It
is the minimum of the CPU and CPL. You want a Cpk>1.
Percent Yield measures the proportion of the output that is
within the spec limits, assuming a Normal population
distribution.
Instructions:
This Control Chart template creates an X-bar Chart and Standard
Deviation Chart (s Chart) with control limits calculated from
values contained in the data table. All samples are assumed to be
the same size.
- Enter the label and the sample size for the quality
characteristic that you are monitoring.- Choose a k-value
(typically 3) for setting the control limits.- Replace the X-bar
and St.Dev. values in the Data Table with your own data set (use
Paste Special - Values).- You can delete unused rows in the data
table.- If you need to insert additional rows in the data table,
insert rows above the gray line below the table so that series in
the chart expand accordingly. Copy the formulas for CL, UCL, and
LCL to fill in the blank spaces.- The labels for CL, UCL, and LCL
within the chart are created by selecting the last Data Point and
formatting it so that the Data Labels include both the Series name
and the Value.
HAP
X-bar
CL
UCL
LCL
Bulan
Average Thickness (mm), X-bar
PLEBITIS
St. Dev., s
CL
UCL
LCL
Sample #
Standard Deviation
DEKUBITUS
Terms of Use
2009 Vertex42 LLC. All rights reserved.
http://www.vertex42.com/ExcelTemplates/control-chart.html
This TermsOfUse worksheet may not be modified, removed, or
deleted.
Limited Use Policy
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"Software") for personal use or for your
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this template may NOT be sold, distributed, or placed on a
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No Warranties
THE SOFTWARE AND ANY RELATED DOCUMENTATION ARE PROVIDED TO YOU
"AS IS."
VERTEX42, LLC MAKES NO WARRANTIES, EXPRESS OR IMPLIED, AND
EXPRESSLY DISCLAIMS ALL
REPRESENTATIONS, ORAL OR WRITTEN, TERMS, CONDITIONS, AND
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LIMITED TO, IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE, AND
NONINFRINGEMENT. WITHOUT LIMITING THE ABOVE YOU ACCEPT THAT THE
SOFTWARE MAY NOT MEET
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ERRORS OR PROBLEMS, OR DO
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liability for incidental or consequential damages,
so the above limitation may not apply to you.
http://www.vertex42.com/ExcelTemplates/control-chart.html
INFEKSI RSCM
Control Chart Template
2009 Vertex42 LLC
http://www.vertex42.com/ExcelTemplates/control-chart.html
http://www.vertex42.com/ExcelTemplates/control-chart.html
INFEKSI RSCM PER BLN
IAD 2011
BulanGEDUNG ABCHULBICU DEWASAPJTIGDIKAKEBIDANANRSCM
KENCANAJUMLAH
BulanGEDUNG Ax-barRangeBEDAHBEDAH SYARAFKELAS
KHUSUSNEUROLOGIPENYAKIT DALAMHCUICU ANAKPICU
BEDAHBEDAH SYARAFKELAS KHUSUSNEUROLOGIPENYAKIT DALAMHCUICU
ANAKPICUBCHULBICU DEWASAPJTIGDIKAKEBIDANANRSCM
KENCANADNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDNDN
10.000.000.000.00.000.0000000.000018.970.07.751.6718.9711570.0660.01940.060.02600.0930.01150.0660.00.00.0600.02390.02150.01670.01,318250.00.012913,08526
20.000.000.000.00.000.0004.47000.000021.8000.001.6421.8021120.0720.01790.090.01530.0810.01090.089440.00.0270.02700.02580.01620.01,055230.00.01610.03,54227
30.000.000.000.00.000.00015.15000.000016.610.00.001.9916.6131540.0730.02180.0310.01360.0750.01240.06610.00.0390.02990.02650.01500.09631640.0930.02,69017
40.000.000.000.00.000.0000006.76006.990.00.000.866.9942410.0770.02060.050.02040.01230.01020.0680.00.00.0260.029622750.01780.0858660.01670.02,8328
50.000.000.000.00.000.0000000.00006.330.00.000.406.335950.0400.01750.0480.02170.0890.01750.0680.00.00.0490.03300.02360.01650.01,106720.0870.02,8827
60.000.000.000.00.000.0000004.59008.610.00.000.828.6161410.0770.02290.0220.02450.01290.02420.01100.00.00.0390.021812250.01850.092980.00.0850.02,8769
70.000.000.000.00.000.0000008.130011.630.00.001.2311.6371630.0830.02000.0390.02710.01700.01620.01150.00.00.0680.024622940.01570.01,37616120.0830.03,43918
80.000.000.000.00.000.0020.40816326530000.00008.760.00.001.8220.4181300.0670.02070.0340.02290.01820.019641110.00.00.0390.02830.02570.01530.01,2551170.0750.03,22515
90.000.000.000.00.000.0000000.00009.940.00.000.629.9491080.0270.02590.070.02250.01360.01330.0900.00.00.0640.03190.02440.01820.01,6091670.01470.03,55716
100.000.000.000.03.450.0000002.940012.650.00.001.1912.65102370.0550.02500.0340.029011530.01570.0920.00.00.0830.034012300.01020.02,2932940.01000.04,42031
110.000.000.000.00.000.0000003.398.7336244541016.490.00.001.7916.49111600.0910.03010.0330.06950.01520.01690.01110.00.00.01140.029512292970.01,334220.00.01010.03,88225
120.000.000.000.00.000.0000000.00005.660.00.000.355.66123060.0470.02820.040.02760.01400.0830.0790.00.00.0440.01720.03920.01600.01,59190.00.01550.03,7319
JUMLAH2,0040.07750.02,7000.02720.03,20111,5230.01,76741,87050.00.06520.03,30773,12021,8580.015,687188420.01,383140,161208
1.17
1,49925
2,0692,05827
1,15317
1,0286
2,1541,3497
1,2818
1,65316
1,56215
1,83216
2,54229
1,61422
1,7539
19,324197
0.00.0
Insiden rateBenchmark 6.16)
11.673.56.16
21.643.56.16
31.993.56.16
40.863.56.16
50.403.56.16
60.823.56.16
71.233.56.16
81.823.56.16
90.623.56.16
101.193.56.16
111.793.56.16
120.353.56.16
INFEKSI RSCM PER BLN
1
2
3
4
5
6
7
8
9
10
11
12
JML HARI PEMASANGAN CVL/1000
INSIDEN RATE IAD DI DEPT/UPT/UNIT KERJA TAHUN 2012
2011-2012
Insiden rate
Benchmark
