57884 70.51615 269.29314 16.07547 10.60814 PENGUMPULAN DAN PENGOLAHAN DATA
f. Menghitung nilai Index of Fit r
Index of Fit r = = 0,96092
3. Distribusi Eksponensial
a. Xi = ti = 14
b. Yi = ln 11-Fti, maka Y
1
Perhitungan waktu antar kerusakan distribusi eksponensial untuk data selanjutnya dapat dilihat pada Tabel 5.16.
= ln 11-0,0486 = 0,0498
Tabel 5.16. Perhitungan Index of Fit dengan Distribusi Eksponensial
Komponen Clucth Disc
I Ti
Fti Yi = ln[11-Fti]
Xi
2
Yi
2
Xi.Yi
1 14
0.03608 0.03675
196 0.00135
0.51449 2
14 0.08763
0.09171 196
0.00841 1.28392
3 15
0.13918 0.14986
225 0.02246
2.24797 4
19 0.19072
0.21161 361
0.04478 4.02063
5 22
0.24227 0.27743
484 0.07696
6.10336 6
27 0.29381
0.34788 729
0.12102 9.39269
7 29
0.34536 0.42367
841 0.17950
12.28646 8
47 0.39691
0.50568 2209
0.25572 23.76716
9 49
0.44845 0.59503
2401 0.35406
29.15644 10
49 0.50000
0.69315 2401
0.48045 33.96421
11 55
0.55155 0.80195
3025 0.64312
44.10725 12
56 0.60309
0.92405 3136
0.85387 51.74695
13 59
0.65464 1.06317
3481 1.13032
62.72677 14
64 0.70619
1.22481 4096
1.50015 78.38764
15 65
0.75773 1.41771
4225 2.00990
92.15119 16
76 0.80928
1.65694 5776
2.74545 125.92746
17 77
0.86082 1.97202
5929 3.88887
151.84564 18
82 0.91237
2.43464 6724
5.92750 199.64087
19 107 0.96392
3.32195 11449
11.03534 355.44844
Total 926 9.5
18.15001 57884
31.27924 1284.71954
Sumber : Hasil Pengolahan Data
c. Menghitung nilai Sxy
Sxy =
= 191284.71954 92618.15001 = 7602.76250
d. Menghitung nilai Sxx
Sxx =
= 1957884 926 = 242320
2
e. Menghitung nilai Syy
Syy =
= 1931.27924 18.15001 = 264.88265
2
f. Menghitung nilai Index of Fit r
Index of Fit r = = 0,94896
4. Distribusi Weibull
a. Xi = ln ti = ln 14 = 2.63906
b. Yi = ln ln 11-Fti, maka Y
1
Perhitungan waktu antar kerusakan distribusi weibull untuk data selanjutnya dapat dilihat pada Tabel 5.17.
= ln ln 11-0,0486 = -3.30363
Tabel 5.17. Perhitungan Index of Fit dengan Distribusi Weibull Komponen
Clucth Disc
I Xi=ti
Fti Xi = ln ti
Yi = ln ln[1-Fti]
Xi
2
Yi
2
Xi.Yi
1 14
0.03608 2.63906
-3.30363 6.96462
10.91397 -8.71847 2
14 0.08763
2.63906 -2.38914
6.96462 5.70799
-6.30508 3
15 0.13918
2.70805 -1.89802
7.33354 3.60250
-5.13995 4
19 0.19072
2.94444 -1.55300
8.66972 2.41181
-4.57271 5
22 0.24227
3.09104 -1.28220
9.55454 1.64404
-3.96334 6
27 0.29381
3.29584 -1.05591
10.86254 1.11494
-3.48009 7
29 0.34536
3.36730 -0.85880
11.33868 0.73753
-2.89183 8
47 0.39691
3.85015 -0.68184
14.82364 0.46491
-2.62520 9
49 0.44845
3.89182 -0.51914
15.14627 0.26951
-2.02042 10
49 0.50000
3.89182 -0.36651
15.14627 0.13433
-1.42640 11
55 0.55155
4.00733 -0.22071
16.05872 0.04871
-0.88445 12
56 0.60309
4.02535 -0.07899
16.20346 0.00624
-0.31795 13
59 0.65464
4.07754 0.06125
16.62631 0.00375
0.24975 14
64 0.70619
4.15888 0.20278
17.29631 0.04112
0.84335 15
65 0.75773
4.17439 0.34904
17.42551 0.12183
1.45704 16
76 0.80928
4.33073 0.50497
18.75525 0.25500
2.18690 17
77 0.86082
4.34381 0.67906
18.86865 0.46112
2.94970 18
82 0.91237
4.40672 0.88980
19.41917 0.79175
3.92110 19
107 0.96392
4.67283 1.20055
21.83533 1.44132
5.60997
Total 926