Indonesian Wikipedia

WikiRank.net
ver. 0.94

Popular articles in February 2019 (201-300)

# Changes Title Quality
201+255Atmosfer Bumi
29.6808
202+90Tumbuhan paku
48.2574
203-101Daftar episode Running Man
54.1877
204+57Pemilihan umum Presiden Indonesia 2014
88.293
205+243Gerhana matahari
23.4846
206+52Kerja Sama Ekonomi Asia Pasifik
77.6674
207+1915Ancaman militer
23.6049
208+17Politik
31.0108
209-36Nusa Tenggara Timur
53.4248
210-69Lambang negara Indonesia
48.4922
211+10Media sosial
29.5312
212+174Kecerdasan buatan
16.2208
213+289Shopee
38.4285
214-24Inflasi
22.3322
215+92Korupsi
29.4147
216+29Inna lillahi wa inna ilaihi raji'un
9.681
217+248Dewa 19
99.6511
218+13Islam di Indonesia
46.9908
219+91Daftar kecamatan dan kelurahan di Kota Administrasi Jakarta Selatan
12.6944
220-101Agama di Indonesia
91.1809
221+72Tokopedia
47.1001
222-22Teori hierarki kebutuhan Maslow
49.715
223-17Sumatera
48.4401
224+17Republik Rakyat Tiongkok
67.6672
225+526MikroTik
33.4142
226-103Mesin pencari web
38.6511
227-23Hubungan internasional
61.73
228-65Angka Romawi
9.5527
229+3Juz 30
52.9915
230+82Sejarah Indonesia (1998–sekarang)
51.1183
231+247Kesultanan Demak
29.5088
232-80Kalimantan Selatan
73.585
233+235Gerhana bulan
25.0924
234+129Nadiem Makarim
29.2213
235+76Partai Solidaritas Indonesia
32.7733
236+24Penyebaran Islam di Nusantara
54.8497
237+120Tenis meja
35.5047
238+65Sarjana
9.3632
239-60Filipina
53.1391
240+104Remaja
12.2681
241+820Pertempuran Lima Hari
16.4165
242+205Ekosistem
73.6915
243+39Utsman bin 'Affan
48.6418
244-27Komputer
37.1258
245+12Pemilihan umum di Indonesia
31.9634
246-31Batik
55.5921
247-98Suku Betawi
68.431
248+75Daftar perusahaan yang tercatat di Bursa Efek Indonesia
23.75
249+16BPJS Kesehatan
23.5838
250+35Ma'ruf Amin
20.5616
251+5Sistem informasi
25.8446
252-6Nahdlatul 'Ulama
54.8643
253-1Sejarah komputer
18.3785
254+1672Kongres Pemuda
7.917
255+100Bendera Indonesia
68.3688
256-43Daftar suku bangsa di Indonesia menurut provinsi
32.3279
257+269Sepuluh Perintah Allah
67.3114
258+166Manajemen
58.981
259+305Nomor Induk Kependudukan
9.7069
260-50Gorontalo
75.8291
261+147Malin Kundang
16.4698
262+42Komunisme
50.2855
263+16Kekhalifahan Abbasiyah
46.2343
264-48Kepulauan Riau
52.1472
265+458MRT Jakarta
55.7861
266+110Produk domestik bruto
20.1255
267+71Toleransi
15.0974
268+38Korea Selatan
90.3246
269+56Tentara Nasional Indonesia
78.4745
2700Android (sistem operasi)
98.8581
271-83Riau
78.4027
272+265Susi Pudjiastuti
48.7135
273-82Kalimantan Utara
64.0421
274+1024Ginjal
32.2839
275+689Palagan Ambarawa
13.6291
276+21Soemitro Djojohadikoesoemo
22.5643
277+139Turki
90.513
278+329Achmad Soebardjo
35.1676
279+402Satelit
62.2983
280+189Air
69.6167
281-122Otoritas Jasa Keuangan
14.8766
282-53National Indische Partij
4.0394
283+4676Daftar politeknik negeri di Indonesia
24.2401
284-123Banjir
59.9289
285-41Muhammadiyah
50.8357
286+10090Tsamara Amany Alatas
28.8985
287+100Kota Semarang
64.4917
288+10Situs web
34.5325
2890Daftar film Indonesia terlaris sepanjang masa
10.6692
290-37Nusa Tenggara Barat
56.3131
291+80935Puteri Indonesia 2019
66.0069
292-87Gunung berapi
19.4181
293+61Daftar kecamatan dan kelurahan di Kota Administrasi Jakarta Timur
11.1923
294-25BPJS Ketenagakerjaan
25.6536
295-60Garuda Indonesia
93.67
296-22Kalimantan Tengah
74.3263
297+5Sulawesi
66.4175
298-90Suku Toraja
86.3033
299+1516Hari Kasih Sayang
40.5274
300+374Senam irama
14.6513
<< < 1-100 | 101-200 | 201-300 | 301-400 | 401-500 > >>

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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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