Malay Wikipedia

WikiRank.net
ver. 0.95

Popular articles in February 2019 (1-100)

# Changes Title Quality
1+1Demokrasi
35.4286
2+9Tahun Baru Cina
88.6401
3+17Perpaduan
32.961
4-1Senarai peribahasa (A–M)
40.0
5+18671Dia Menantu Rahsia
16.8623
6-2Malaysia
100.0
7+21Polis Diraja Malaysia
66.1395
8+15Nabi Muhammad SAW
67.5206
9+508Setelah Cinta Itu Pergi
19.4437
10+44Air
23.9389
11-2Mahathir bin Mohamad
100.0
12+18673Misteri Dilaila
69.7811
13+14Lambang negara Malaysia
9.7252
14-2ISO 8601
11.9832
15-8Yang di-Pertuan Agong
81.9031
16+5Perlembagaan Malaysia
38.6543
17+7Penanda wacana
4.8405
18+4Bendera Malaysia
55.9224
19+42Johor
77.2234
20+60Pulau Pinang
58.7263
21+108RSS
25.8494
22+25Peristiwa 13 Mei
56.9798
23-5International Standard Book Number
28.1913
24+13Lee Chong Wei
100.0
25-19Mira Filzah
43.5685
26+13Sarawak
100.0
27-1Kerajaan Mataram Kuno
8.921
28+98Elizabeth Tan
81.9009
29+5708Senjata Melayu
6.3943
30+18Kebudayaan Malaysia
100.0
31-12Kesultanan Melayu Melaka
72.3489
32+279Raysha Rizrose
54.4448
33-32Pujaan Hati Kanda
15.4752
34+99966Leftenan Zana
11.3919
35+40Selangor
100.0
36+4Bahasa Melayu
65.9679
37-4Perdana Menteri Malaysia
68.782
38+3Tunku Abdul Rahman
66.8123
39+99961Senafas Rindu
15.909
40-35Baju tradisional Melayu
28.0262
41-7Senarai daerah bagi setiap negeri di Malaysia mengikut populasi
47.8269
42+108Pencemaran udara
67.6792
43-35Senarai Yang di-Pertuan Agong
29.517
44+39Kedah
73.8455
45+8ASCII
34.4272
46-15Rukun Negara
18.9145
47+225Uqasha Senrose
73.8987
48+125P. Ramlee
92.6342
49-17Jenis media Internet
37.9796
50+68Hari Raya Aidilfitri
88.6393
51+34Perkahwinan menurut Islam
55.2953
52-27Kuala Lumpur
100.0
53+13Dasar Ekonomi Baru
24.4973
54+32Abdul Razak Hussein
47.5952
55-10Permainan tradisional di Malaysia
14.5384
56+22Sabah
100.0
57+136Sultan Abdullah Ri'ayatuddin Al-Mustafa Billah Shah ibni Sultan Haji Ahmad Shah Al-Musta'in Billah
77.1372
58+277Salahuddin al-Ayyubi
36.6345
59+31Kata adjektif
21.9482
60-4Jabatan dan Agensi kerajaan Malaysia
28.3405
61+114Ketua Polis Negara Malaysia
31.3935
62-11Sejarah Melaka
43.2365
63-21Selafaz Cinta
15.5812
64-51Kadazan-Dusun
28.8251
65+3Kaum-kaum di Malaysia
31.7548
66+181Keris
78.0955
67+25Azar Azmi
43.5538
68-54Baju Melayu
44.9971
69+847Spanar Jaya
44.0508
70+69Negeri-negeri Selat
33.6701
71-27Sejarah Malaysia
40.0184
72+125Sukan
37.5913
73+4Kanun Keseksaan
40.0
74+35Melaka
100.0
75+47Negeri Sembilan
68.5802
76+18623Dia Menantu Rahsia (novel)
16.3898
77+250Perak Darul Ridzuan
60.8487
78+94Media sosial
20.8447
79+33Orang Cina Malaysia
94.3458
80+24Pilihan raya umum Malaysia 2018
95.3991
81+76Abu Bakar as-Siddiq
34.0804
82+551Hael Husaini
51.4205
83-28Aliff Syukri Kamarzaman
28.8609
84-19Senarai syarikat-syarikat Malaysia
45.831
85-25Integriti
2.3367
86-14Negeri dan Wilayah Persekutuan di Malaysia
50.7195
87+12Islam
100.0
88+132Agama
17.8696
89+3749Mohd Suhaimi bin Saad
20.3714
90-17Senarai universiti di Malaysia
41.2318
91+6Pendidikan di Malaysia
52.612
92+358Muhammad bin Idris al-Syafii
6.141
93+255Nina Iskandar
48.8634
94+7Wikipedia Bahasa Melayu
56.2077
95+72Syafiq Kyle
55.0957
96-86Tunku Azizah Aminah Maimunah Iskandariah
48.6517
97+67Merokok
28.9791
98+19Zul Ariffin
79.3499
99+43Kelantan
89.8597
100+7Ekonomi Malaysia
44.5405
1-100 | 101-200 | 201-300 > >>

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About WikiRank

The project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 38 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from March, 2019. When calculating popularity, view statistics of articles for last month (February 2019) were taken into account.

You can also visit WikiRank.Live (previous version of the main tool), which can calculate quality and popularity based on current versions of Wikipedia articles in 7 languages.

It's planned to add different improvements to the project (such as adding to the analysis not only new quantitative characteristics, but also qualitative). In addition, it is planned to add estimates using machine learning algorithms and artificial intelligence, as well as based on the results of user comparison of specific multilingual information (for example, the WikiBest project). Please leave your comments and suggestions

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