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Latihan Soal Kimfis

The document contains graphs and data tables relating to adsorption experiments. It shows relationships between variables such as ln(qe), Ce/qe, log(Ce), log(qe), Qe, and Ce/Qe(Cs-Ce) through linear regression lines and equations. The data and graphs examine how these variables are correlated with one another under different experimental conditions.
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0% found this document useful (0 votes)
22 views10 pages

Latihan Soal Kimfis

The document contains graphs and data tables relating to adsorption experiments. It shows relationships between variables such as ln(qe), Ce/qe, log(Ce), log(qe), Qe, and Ce/Qe(Cs-Ce) through linear regression lines and equations. The data and graphs examine how these variables are correlated with one another under different experimental conditions.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as XLSX, PDF, TXT or read online on Scribd
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^2 ln qe

7,59x10^6 -3.912 ln qe
4,18X10^6 -0.821
3,57X10^5 0.978 2
f(x) = 0.8603428571x - 3.1988666667
6,77X10^4 0.663 1
R = 0.673217979
1,02X10^4 0.713 0
2,12X10^3 1.253
-1 0 1 2 3 4 5 6 7
Axis Title
-2
-3
-4
-5
ln qe
Axis Title
3.5
3 f(x) = 0.1019742857x + 2.6991066667
2.5 R = 0.7284901942
2
^2 ln qe
Axis Title 1.5
7,59x10^6 2.663
4,18X10^6 2.9083 1
3,57X10^5 3.1737 0.5
6,77X10^4 3.1941 0
1,02X10^4 3.1982 0 1 2 3 4 5 6 7
2,12X10^3 3.1988 Axis Title
e
x - 3.1988666667

5 6 7 ln qe
Linear (ln qe)

+ 2.6991066667

ln qe
Linear (ln qe)

5 6 7
Ce Ce/qe
0.49 0.1485
0.78 0.1774
3.67 0.4656 Ce/qe
9.03 1.0001
6
23.98 2.4909
53.25 5.4097 5 f(x) = 0.0997196231x + 0.0996283952
4 R = 1
Ce/qe
3
Axis Title Linear (Ce
2
1
0
0 10 20 30 40 50 60

Axis Title

Ce/qe
Ce Ce/qe 0.6
0.49 0.0138 0.5 f(x) = 0.0099011146x + 0.0089697253
0.78 0.0167 R = 0.9999999947
0.4
3.67 0.0453 Ce/qe
9.03 0.0984 0.3
Axis Title Linear (C
23.98 0.2464 0.2
53.25 0.5362 0.1
0
0 10 20 30 40 50 60

Axis Title
Ce/qe
Linear (Ce/qe)

60

Ce/qe
Linear (Ce/qe)

60
log Ce log qe
-0.3098 -0.6933
-0.1079 0.4853
0.5647 0.6398
log qe
0.9557 1.051 1.5
1.3798 1.0701 f(x) = 0.7707773277x + 0.0974753972
1.7263 1.276 R1= 0.759212611

0.5 log qe
Axis Title Linear (lo
0
-0.5 0 0.5 1 1.5 2
-0.5

-1

Axis Title

log Ce log qe log qe


-0.3098 0.6878 2.5
-0.1079 0.814
0.5647 1.2343 2
f(x) = 0.6256220344x + 0.8823469969
0.9557 1.487 1.5= 0.9999563144
R log qe
1.3798 1.7438
Axis Title 1 Linear (lo
1.7263 1.9603
0.5

0
-0.5 0 0.5 1 1.5 2

Axis Title
2

log qe
Linear (log qe)

9
log qe
Linear (log qe)

2
ln Ce Qe
-0.7133 0.02
-0.2485 0.44
1.3002 2.66 Qe
2.2006 1.94
4
3.1772 2.04
3.975 3.5
f(x)3= 0.6270691235x + 0.7538246184
R = 0.7823468922
Qe
2
Axis Title Lin
1

0 Qe
-1 0 1 2 3 4 5
5
Axis Title
4
f(x) = 0.7530968736x + 0.9044145965
3 0.9999999994
R = Qe
ln Ce Qe
Axis Title 2 Lin
-0.7133 0.3672
-0.2485 0.7173 1
1.3002 1.8836
2.2006 2.5617 0
3.1772 3.2971 -1 0 1 2 3 4 5
3.975 3.898 Axis Title
Qe
Linear (Qe)

4 5

Qe
Linear (Qe)

4 5
Ce/Cs Ce/Qe(Cs-Ce)
0.98 2450
0.78 8.0579
0.734 1.0374 Ce/Qe(Cs-Ce)
0.903 4.7986
3000
0.9592 11.5244
0.9682 8.6939 2500
2000
Ce/Qe(Cs-C
1500
Axis Title Linear (Ce/
1000
500 f(x) = 4093.1635431843x - 3218.2546282218
R = 0.1871591211
0 Ce/Qe(Cs-Ce)
0.7 0.75 0.8 0.85 0.9 0.95 1
7000
Axis Title
6000
5000 f(x) = 343.1893142857x + 3431.0610666667
4000 R = 0.7722891351 Ce/Qe(Cs-Ce)
Ce/Cs Ce/Qe(Cs-Ce)
Axis Title 3000 Linear (Ce/Qe(C
1,29X10^-5 4110.986
2,06X10^-5 4121.304 2000
9,68X10^-5 4223.412 1000
2,38X10^-4 4412.62 0
6,33x10^-4 4941.92 0 1 2 3 4 5 6 7
1,41X10^-3 5983.1 Axis Title
e)

Ce/Qe(Cs-Ce)
Linear (Ce/Qe(Cs-Ce))

3x - 3218.2546282218

5 1

.0610666667
Ce/Qe(Cs-Ce)
Linear (Ce/Qe(Cs-Ce))

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