Post on 01-Feb-2016
description
t (jam) log kadar obat0 100 2.004 50 1.708 25 1.40
12 12.5 1.1016 6.25 0.8020 3.13 0.5024 1.56 0.19
kadar obat (µg/ml)
0 5 10 15 20 25 300.00
0.50
1.00
1.50
2.00
2.50
f(x) = − 0.0752637279450332 x + 2.00007458952056
Column CLinear (Column C)
0 5 10 15 20 25 300.00
0.50
1.00
1.50
2.00
2.50
f(x) = − 0.0752637279450332 x + 2.00007458952056
Column CLinear (Column C)
waktu (hr) Cp (mg/l) log kadar obat1 11.43 1.062 7.13 0.853 4.38 0.644 2.64 0.426 1.06 0.03
10 0.16 -0.8012 0.06 -1.22
0 2 4 6 8 10 12 14
-1.50
-1.00
-0.50
0.00
0.50
1.00
1.50
f(x) = − 0.206565648184945 x + 1.26161221813619
Column CLinear (Column C)
0 2 4 6 8 10 12 14
-1.50
-1.00
-0.50
0.00
0.50
1.00
1.50
f(x) = − 0.206565648184945 x + 1.26161221813619
Column CLinear (Column C)
Laporan 1
t jam log kadar obat0.25 82.1 1.91
0.5 78.7 1.901 72.3 1.863 51.5 1.716 30.9 1.49
12 11.1 1.0518 4 0.60
cp (µg/ml)
0 2 4 6 8 10 12 14 16 18 200.00
0.50
1.00
1.50
2.00
2.50
f(x) = − 0.0738652512187234 x + 1.93203867077103
Column CLinear (Column C)
0 2 4 6 8 10 12 14 16 18 200.00
0.50
1.00
1.50
2.00
2.50
f(x) = − 0.0738652512187234 x + 1.93203867077103
Column CLinear (Column C)
laporan 2waktu (jam) Cp (mg/l) log Cp
0.25 4.2 0.620.5 3.5 0.54
1 2.5 0.402 1.25 0.104 0.31 -0.516 0.08 -1.10
laporan 2waktu (jam) Cp (mg/l) log Cp
0.25 4.2 0.620.5 3.5 0.54
1 2.5 0.402 1.25 0.104 0.31 -0.516 0.08 -1.10
0 1 2 3 4 5 6 7
-1.20
-1.00
-0.80
-0.60
-0.40
-0.20
0.00
0.20
0.40
0.60
0.80
f(x) = − 0.299439343087542 x + 0.695651667451365
Column CLinear (Column C)Linear (Column C)
0 1 2 3 4 5 6 7
-1.20
-1.00
-0.80
-0.60
-0.40
-0.20
0.00
0.20
0.40
0.60
0.80
f(x) = − 0.299439343087542 x + 0.695651667451365
Column CLinear (Column C)
0 1 2 3 4 5 6 7
-1.20
-1.00
-0.80
-0.60
-0.40
-0.20
0.00
0.20
0.40
0.60
0.80
f(x) = − 0.299439343087542 x + 0.695651667451365
Column CLinear (Column C)Linear (Column C)
0 1 2 3 4 5 6 7
-1.20
-1.00
-0.80
-0.60
-0.40
-0.20
0.00
0.20
0.40
0.60
0.80
f(x) = − 0.299439343087542 x + 0.695651667451365
Column CLinear (Column C)
waktu (jam) kadar obat dalam darah mcg/ ml log cp log c'0.5 5.36 0.729 1.833
1 9.95 0.998 1.8182 17.18 1.235 1.7884 25.75 1.411 1.7288 29.78 1.474 1.608
12 26.23 1.419 1.48818 19.4 1.288 1.30824 13.26 1.123 1.12836 5.88 0.769 0.76848 2.56 0.408 0.40872 0.49 -0.310 -0.312
waktu (menit) konsentrasi serum (mcg/ml) log Cp log C'1 0.02 -1.699 1.6942 0.2 -0.699 1.6923 0.63 -0.201 1.6904 1.34 0.127 1.6885 2.34 0.369 1.686
10 10.1 1.004 1.67615 19.2 1.283 1.66630 36.9 1.567 1.63645 40.8 1.611 1.60660 39.4 1.595 1.57690 33.9 1.530 1.516
120 29.4 1.468 1.456150 25.9 1.413 1.396180 22.8 1.358 1.336210 20.2 1.305 1.276240 17.9 1.253 1.216300 14.1 1.149 1.096360 11 1.041 0.976480 6.75 0.829 0.736600 4.1 0.613 0.496720 2.49 0.396 0.256
k= 0,005 Cr= C'-C Ka=0,014B= 49,659 A= 50,234
Tmax =ln(0.014/0.005)/(0.014-0.005) =
T (jam) Cp (mcg/ml) log Cp log C'0.25 2.23 0.348 1.214
0.5 3.98 0.600 1.1961 6.39 0.806 1.158
1.5 7.74 0.889 1.1212 8.39 0.924 1.083
2.5 8.59 0.934 1.0463 8.49 0.929 1.0084 7.81 0.893 0.9336 5.95 0.775 0.783
10 3.06 0.486 0.48312 2.17 0.336 0.33316 1.09 0.037 0.033
C' = antilog nilai kolom log c' Cr log cr68.077 62.717 1.79765.766 55.816 1.74761.376 44.196 1.64553.456 27.706 1.443
C' = antilog nilai kolom log C' cr log Cr49.431 49.411 1.69449.204 49.004 1.69048.978 48.348 1.68448.753 47.413 1.676
0 0.5 1 1.5 2 2.5 3 3.5 4 4.51.661.68
1.71.721.741.761.78
1.81.821.841.86
f(x) = − 0.03 x + 1.848R² = 1
Column DLinear (Column D)
0 1 2 3 4 50.000
0.500
1.000
1.500
2.000
f(x) = − 0.101381059733498 x + 1.84811468223123R² = 0.999999954773854
Column GLinear (Column G)
450500
550600
650700
7500.0000.1000.2000.3000.4000.5000.6000.7000.8000.900
f(x) = − 0.00180460177389704 x + 1.69552338988705R² = 0.99999999258568
Column CLinear (Column C)
0 1 2 3 4 51.685
1.687
1.689
1.691
1.693
1.695
Column DLinear (Column D)
0.5 1 1.5 2 2.5 3 3.5 4 4.51.665
1.670
1.675
1.680
1.685
1.690
1.695
1.700
f(x) = − 0.00596316410457598 x + 1.70099069118147R² = 0.967448726158282
Column GLinear (Column G)
C'= antilog nilai kolom log C' Cr log Cr16.368 14.138 1.15015.704 11.724 1.06914.388 7.998 0.90313.213 5.473 0.738
8 10 12 14 16 180.000
0.100
0.200
0.300
0.400
0.500
0.600
f(x) = − 0.074721891074 x + 1.233013173027R² = 0.999999821846095Column C
Linear (Column C)
0 1 2 3 4 51.685
1.687
1.689
1.691
1.693
1.695
Column DLinear (Column D)
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.61.0601.0801.1001.1201.1401.1601.1801.2001.2201.240
Column D
0 0.5 1 1.5 20.0000.2000.4000.6000.8001.0001.2001.400
f(x) = − 0.330131980732166 x + 1.23339989310281R² = 0.99999141629342
Column GLinear (Column G)
0 10 20 30 40 50 60 70 80-0.400-0.2000.0000.2000.4000.6000.8001.0001.2001.4001.600
f(x) = − 0.0194204704803635 x + 1.35663508782317
Column CLinear (Column C)
30 35 40 45 50 55 60 65 70 75
-0.400
-0.200
0.000
0.200
0.400
0.600
0.800
1.000
f(x) = − 0.0299688623182966 x + 1.84765196435693R² = 0.999997881572084
Column CLinear (Column C)Linear (Column C)
0 0.5 1 1.5 2 2.5 3 3.5 4 4.51.661.68
1.71.721.741.761.78
1.81.821.841.86
f(x) = − 0.03 x + 1.848R² = 1
Column DLinear (Column D)
0 1 2 3 4 50.000
0.500
1.000
1.500
2.000
f(x) = − 0.101381059733498 x + 1.84811468223123R² = 0.999999954773854
Column GLinear (Column G)
0 100 200 300 400 500 600 700 800
-2.000
-1.500
-1.000
-0.500
0.000
0.500
1.000
1.500
2.000
Column C
450500
550600
650700
7500.0000.1000.2000.3000.4000.5000.6000.7000.8000.900
f(x) = − 0.00180460177389704 x + 1.69552338988705R² = 0.99999999258568
Column CLinear (Column C)
0 1 2 3 4 51.685
1.687
1.689
1.691
1.693
1.695
Column DLinear (Column D)
0 2 4 6 8 10 12 14 16 180.0000.1000.2000.3000.4000.5000.6000.7000.8000.9001.000
Column C
8 10 12 14 16 180.000
0.100
0.200
0.300
0.400
0.500
0.600
f(x) = − 0.074721891074 x + 1.233013173027R² = 0.999999821846095Column C
Linear (Column C)
0 1 2 3 4 51.685
1.687
1.689
1.691
1.693
1.695
Column DLinear (Column D)
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.61.0601.0801.1001.1201.1401.1601.1801.2001.2201.240
Column D
Soal 1waktu (jam) konsentrasi (ng/ml) Cp log Cp log C'= slope*waktu+intercept
0.250 51.330 1.710 2.0220.500 74.050 1.870 2.0011.000 82.910 1.919 1.9611.500 81.760 1.913 1.9202.000 75.510 1.878 1.8803.000 62.980 1.799 1.7994.000 52.320 1.719 1.7186.000 36.080 1.557 1.5568.000 24.880 1.396 1.394
12.000 11.830 1.073 1.07024.000 1.270 0.104 0.098
Soal 2Waktu (jam) antibiotika (mcg/ml) Cp
0.5 84.51.0 81.22.0 74.54.0 61.06.0 48.08.0 35.0
12.0 8.7
K= 6.590Co= 87.665t 1/2= Co/2K = 87.665/2*6.590 = 6.651
0.200 0.400 0.600 0.800 1.000 1.2001.9301.9401.9501.9601.9701.9801.9902.0002.0102.0202.030
f(x) = − 0.081 x + 2.042
Column DLinear (Column D)
0.200 0.400 0.600 0.800 1.000 1.2000.0000.2000.4000.6000.8001.0001.2001.4001.6001.8002.000
f(x) = − 1.05705533466959 x + 1.97747214127282R² = 0.996491475378154
Column GLinear (Column G)
0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.00.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
f(x) = − 6.58978897208986 x + 87.6654186521443R² = 0.999965406863007
Column BLinear (Column B)
Soal 3Waktu (menit) Cp (mg) log Cp
4 70 1.84510 58 1.76320 42 1.62330 31 1.49160 12 1.07990 4.5 0.653
120 1.7 0.230
Soal 4t (menit) Cp (mg)
10 9620 8940 7360 5790 34
120 10130 2.5
Soal 5t (jam) Cp(mcg/ml)
0.25 8.210.5 7.87
1 7.233 5.156 3.09
12 1.1118 0.4
0 20 40 60 80 100 120 1400.000
0.200
0.400
0.600
0.800
1.000
1.200
1.400
1.600
1.800
2.000
f(x) = − 0.0139066393291381 x + 1.90439960499182R² = 0.999930985625626
Column CLinear (Column C)
0 20 40 60 80 100 120 1400
20
40
60
80
100
120
f(x) = − 0.783227848101266 x + 104.231012658228R² = 0.99993410630465
Column BLinear (Column B)
C'= antilog kolom nilai log C' Cr= C'-Cp log Cr105.196 53.866 1.731100.461 26.411 1.42291.411 8.501 0.929
0.0005.000
10.000
15.000
20.000
25.000
30.0000.000
0.500
1.000
1.500
2.000
2.500
f(x) = − 0.0755399973320079 x + 1.96719901739349
Column CLinear (Column C)
5.000
10.000
15.000
20.000
25.0000.0000.2000.4000.6000.8001.0001.2001.4001.600
f(x) = − 0.0807557242563276 x + 2.04196356962703R² = 0.999999985488035
Column CLinear (Column C)
0.200 0.400 0.600 0.800 1.000 1.2000.0000.2000.4000.6000.8001.0001.2001.4001.6001.8002.000
f(x) = − 1.05705533466959 x + 1.97747214127282R² = 0.996491475378154
Column GLinear (Column G)
0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.00.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
f(x) = − 6.58978897208986 x + 87.6654186521443R² = 0.999965406863007
Column BLinear (Column B)
0 20 40 60 80 100 120 1400.000
0.200
0.400
0.600
0.800
1.000
1.200
1.400
1.600
1.800
2.000
f(x) = − 0.0139066393291381 x + 1.90439960499182R² = 0.999930985625626
Column CLinear (Column C)
0 20 40 60 80 100 120 1400
20
40
60
80
100
120
f(x) = − 0.783227848101266 x + 104.231012658228R² = 0.99993410630465
Column BLinear (Column B)
0.0005.000
10.000
15.000
20.000
25.000
30.0000.000
0.500
1.000
1.500
2.000
2.500
f(x) = − 0.0755399973320079 x + 1.96719901739349
Column CLinear (Column C)
5.000
10.000
15.000
20.000
25.0000.0000.2000.4000.6000.8001.0001.2001.4001.600
f(x) = − 0.0807557242563276 x + 2.04196356962703R² = 0.999999985488035
Column CLinear (Column C)