Menghitung rata-rata suhu TBB dan
TBK digunakan rumus
T = 2 (T
07.00) + (T 13.00) + (T 18.00)
4
Contoh
perhitungan rata-rata suhu TBB dan TBK pada hari senin
- Rata-rata suhu TBK pada hari senin
T = 2(24,38)
+ 30,26 + 25,88
4
= 104,9
4
= 26.225
- Rata-rata suhu TBB pada hari senin
T = 2(23,48)
+ 26,87 + 24,42
4
= 98,25
4
= 24,56
Bulan
|
Suhu (TBK)
(°C)
|
Suhu (TBB)
(°C)
|
||||||
Pk.07
|
Pk.13
|
Pk.18
|
Rata-rata
|
Pk.07
|
Pk.13
|
Pk18
|
Rata-rata
|
|
SENIN
|
24.38
|
30.26
|
25.88
|
26.23
|
23.48
|
26.87
|
24.42
|
24.56
|
SELASA
|
24.06
|
30.52
|
25.69
|
26.08
|
23.17
|
27.02
|
24.37
|
24.43
|
RABU
|
24.33
|
31.08
|
26.08
|
26.45
|
23.41
|
27.14
|
24.82
|
24.70
|
KAMIS
|
24.45
|
30.79
|
26.15
|
26.46
|
23.59
|
27.22
|
24.94
|
24.84
|
| JUM'AT |
24.54
|
31.64
|
26.62
|
26.84
|
23.25
|
27.65
|
25.12
|
24.82
|
SABTU
|
23.21
|
30.93
|
26.05
|
25.85
|
22.22
|
26.96
|
24.43
|
23.96
|
MINGGU
|
22.6
|
30.91
|
26.8
|
25.73
|
21.66
|
26.8
|
24.84
|
23.74
|
| SENIN |
26.61
|
31.03
|
26.21
|
27.62
|
21.75
|
26.75
|
224.38
|
23.66
|
| SELASA |
24.91
|
31.56
|
27.04
|
27.11
|
23.75
|
27.33
|
25.15
|
24.9
|
RABU
|
25.02
|
30.99
|
26.32
|
26.84
|
23.85
|
27.19
|
24.86
|
24.94
|
| KAMIS |
24.9
|
30.19
|
25.80
|
26.45
|
23.82
|
27.01
|
24.61
|
24.82
|
JUM'AT
|
25.31
|
30.85
|
30.89
|
28.09
|
23.97
|
27.28
|
24.98
|
25.05
|
2. Menghitung kelembaban atas dasar selisih TBK- TBB
dengan rumus interpolasi
X1- X2 = Y1-Y2
X1
–X Y1 –Y
- Contoh perhitungan RH pukul 07.00 pada hari senin
X = TBK –TBB
= 24,38 – 23,48
=0,9
- Interpolasi : X1- X2 = Y1-Y2
X1 –X Y1 –Y
1,0 – 0,8 = 92 - 90
1,0 -0,9 92 –Y
92 – Y = 2
2
=
91 %
Bulan
|
KELEMBABAN
(%)
|
|||
Pk 07.00
|
Pk 13.00
|
Pk 18.00
|
Rata-rata
|
|
Senin
|
91
|
72.95
|
85.6
|
85.14
|
| Selasa |
90.9
|
71.5
|
88.2
|
85.38
|
Rabu
|
84
|
65.7
|
87.6
|
80.33
|
Kamis
|
90.6
|
71.85
|
87.1
|
85.22
|
| Jum't |
87.9
|
68.95
|
86
|
82.89
|
Sabtu
|
91
|
68.85
|
84.1
|
83.92
|
Minggu
|
86
|
67.1
|
83.6
|
80.68
|
| Senin |
58.6
|
65.4
|
82.3
|
66.23
|
Selasa
|
87
|
65.3
|
82.9
|
80.55
|
Rabu
|
89.7
|
68
|
85.6
|
83.2
|
Kamis
|
88.94
|
74.9
|
89.95
|
85.68
|
| Jum'at |
85.4
|
71.85
|
55.55
|
74.55
|
Contoh
perhitungan RH rata-rata untuk Hari senin
- T = 2 (T 07.00) + (T 13.00) + (T 18.00)
4
= 2 (91 %) + (72,95 %) + (85,67 %)
4
= 340,55
4
= 85,1375
Hari
|
T (°C)
|
RH (%)
|
PP (%)
|
EV (mm)
|
CH (mm)
|
KA
(km/jam)
|
senin
|
26.23
|
85.14
|
28.6
|
68.8
|
315.7
|
1.6
|
selasa
|
26.08
|
85.38
|
23.3
|
57.8
|
406.3
|
1.8
|
| Rabu |
26.46
|
80.33
|
27.7
|
73.9
|
183.9
|
2.9
|
Kamis
|
26.46
|
85.22
|
35.6
|
63.4
|
236.0
|
1.7
|
| Jum'at |
26.46
|
82.89
|
43.2
|
103.4
|
54.0
|
2.1
|
Sabtu
|
25.85
|
83.92
|
37.4
|
85.5
|
68.8
|
1.8
|
Minggu
|
25.73
|
80.68
|
51.8
|
109.4
|
2.0
|
2.5
|
Senin
|
27.62
|
66.23
|
58.3
|
121.0
|
47.0
|
2.6
|
Selasa
|
27.1
|
80.55
|
46.9
|
126.1
|
1.3
|
3
|
Rabu
|
26.84
|
83.25
|
28.4
|
78.8
|
137.7
|
2.3
|
Kamis
|
26.45
|
85.68
|
12.9
|
61.2
|
259.0
|
1.9
|
Jum,at
|
28.09
|
74.55
|
44
|
111.3
|
229.6
|
2.4
|
- Mencari persamaan regresi dengan menggunakan kalkulator
Rumus umum
regresi fungsi linear sederhana adalah :
Y = a
+ bx
X = peubah
bebas
a = intercept
Y = peubah
tak bebas
b = gradien garis regresi
Variabel
|
a
|
b
|
r
|
Persamaan regresi
|
PP vs T
|
26.05
|
0.021
|
0.388
|
y = 26.05 + 0.02x
|
PP vs RH
|
92.59
|
-0.283
|
-0.317
|
y = 92.59 - 0.283x
|
PP vs EV
|
26.99
|
1.6814
|
0.887
|
y = 26.99 + 1.6814x
|
T vs EV
|
-424.96
|
19.226
|
0.549
|
y = -424 + 19.226x
|
T vs RH
|
224.758
|
-5.354
|
-0.725
|
y = 224.758 – 5.354x
|
RH vs EV
|
363.318
|
-3.351
|
-0.702
|
y = 363.318 – 3.351x
|
RH vs CH
|
-619.795
|
9.525
|
0.375
|
y = -619.795 + 9.525x
|
KA vs EV
|
-20.734
|
50.95
|
0.875
|
y = -20.734 + 50.95x
|
KA vs RH
|
96.874
|
-6.919
|
-0.568
|
y = 96.784 – 6.919x
|
KA vs CH
|
622.88
|
-215.3
|
-0.695
|
y = 622.88 – 215.3
|
4. Menentukan koefisien regresi korelasi r yang
mendekati R ≈ +1, R ≈ 0, R ≈ -1
Dari tabel
di atas dapat ditentukan nilai r beserta persamaan regresinya
- R ≈ +1 adalah variabel PP vs T dengan persamaan regresi
y = 26,05 +
0,02x
- R ≈ 0 adalah variabel RH vs CH dengan persamaan regresi
y = -619,79
+ 9,5248x
- R ≈ -1 adalah variabel T vs RH dengan persamaan regresi
y = 224,76 -
5,354x