Yvo and utiketMalaysia

Analisis penerbangan Utiket untuk penerbangan AirAsia AK387.
antara Jakarta dan Kuala Lumpur.

Apakah bulan terbaik untuk tiba?

September

Bulan terbaik untuk terbang dengan Penerbangan AK387 ialah September dan bulan paling mahal untuk terbang ialah Jun. (Harga purata, berdasarkan titik data 1264.)

JanuariPHP 12.090
Jan
FebruariPHP 11.956
Feb
MacPHP 11.807
Mar
AprilPHP 11.380
Apr
MeiPHP 10.860
Mei
JunPHP 14.584
Jun
JulaiPHP 12.140
Jul
OgosPHP 10.625
Ogo
SeptemberPHP 9.742
Sep
OktoberPHP 10.409
Oct
NovemberPHP 12.687
Nov
DisemberPHP 12.752
Dis

Apakah hari yang paling murah untuk terbang?

Selasa

Hari terbaik untuk tiba di Jakarta ialah Selasa dan sebaiknya elakkan Jumaat, kerana harga secara purata 28.01% lebih tinggi daripada Selasa. (Harga purata, berdasarkan titik data 421581600.)

IsninPHP 2.926
Isn
SelasaPHP 2.670
Sel
RabuPHP 3.018
Rab
KhamisPHP 3.221
Kha
JumaatPHP 3.417
Jum
SabtuPHP 2.974
Sab
AhadPHP 3.355
Aha

Berapa hari sebelum berlepas saya perlu menempah?

55 hari

Masa terbaik untuk menempah ialah 55 hari sebelum tarikh berlepas. Anda akan mendapat, secara purata, harga termurah untuk penerbangan AK387. (Harga purata, berdasarkan titik data 2979.)

0 days before departure
PHP 4.316
0
1 days before departure
PHP 3.848
2 days before departure
PHP 3.734
3 days before departure
PHP 4.046
4 days before departure
PHP 4.634
5 days before departure
PHP 2.989
5
6 days before departure
PHP 3.232
7 days before departure
PHP 2.805
8 days before departure
PHP 3.019
9 days before departure
PHP 2.801
10 days before departure
PHP 2.831
10
11 days before departure
PHP 2.620
12 days before departure
PHP 2.642
13 days before departure
PHP 3.077
14 days before departure
PHP 2.662
15 days before departure
PHP 3.281
15
16 days before departure
PHP 2.920
17 days before departure
PHP 3.228
18 days before departure
PHP 3.544
19 days before departure
PHP 3.260
20 days before departure
PHP 3.499
20
21 days before departure
PHP 3.183
22 days before departure
PHP 3.292
23 days before departure
PHP 2.662
24 days before departure
PHP 2.503
25 days before departure
PHP 2.735
25
26 days before departure
PHP 2.744
27 days before departure
PHP 2.767
28 days before departure
PHP 2.931
29 days before departure
PHP 3.855
30 days before departure
PHP 2.411
30
31 days before departure
PHP 2.571
32 days before departure
PHP 3.271
33 days before departure
PHP 2.337
34 days before departure
PHP 2.722
35 days before departure
PHP 2.553
35
36 days before departure
PHP 2.573
37 days before departure
PHP 2.825
38 days before departure
PHP 2.300
39 days before departure
PHP 2.637
40 days before departure
PHP 2.802
40
41 days before departure
PHP 2.217
42 days before departure
PHP 2.738
43 days before departure
PHP 2.750
44 days before departure
PHP 2.790
45 days before departure
PHP 2.199
45
46 days before departure
PHP 2.270
47 days before departure
PHP 2.975
48 days before departure
PHP 3.206
49 days before departure
PHP 2.673
50 days before departure
PHP 2.874
50
51 days before departure
PHP 3.317
52 days before departure
PHP 2.575
53 days before departure
PHP 2.332
54 days before departure
PHP 3.799
55 days before departure
PHP 1.969
55
56 days before departure
PHP 3.199
57 days before departure
PHP 2.333
58 days before departure
PHP 3.842
59 days before departure
PHP 2.661
60 days before departure
PHP 2.927
60

Pengagihan harga Penerbangan AK387

Graf ini menunjukkan taburan harga yang ditemui pada tahun lalu untuk penerbangan ini. (Harga purata, berdasarkan titik data 3970.)

2% of Prices between:
175k - 349k
~262k
11% of Prices between:
349k - 524k
~436k
25% of Prices between:
524k - 698k
~611k
23% of Prices between:
698k - 873k
~785k
15% of Prices between:
873k - 1m
~960k
8% of Prices between:
1m - 1.2m
~1.1m
4% of Prices between:
1.2m - 1.4m
~1.3m
5% of Prices between:
1.4m - 1.6m
~1.5m
2% of Prices between:
1.6m - 1.7m
~1.7m
1% of Prices between:
1.7m - 1.9m
~1.8m
1% of Prices between:
1.9m - 2.1m
~2m
1% of Prices between:
2.1m - 2.3m
~2.2m
1% of Prices between:
2.3m - 2.4m
~2.4m

Menganalisis penerbangan terus antara Jakarta dan Kuala Lumpur.

Menganalisis harga untuk

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