Indonesian Wikipedia

WikiRank.net
ver. 0.95

Popular articles in February 2019 (101-200)

# Changes Title Quality
101-23Papua
67.6458
102-36Sumatera Barat
74.2208
103+95Badan Penyelidik Usaha-usaha Persiapan Kemerdekaan Indonesia
28.9322
104+26Rokok
20.3314
105+6Ukuran kertas
36.5132
106+74Karya ilmiah
11.2704
107+115Kesultanan Samudera Pasai
41.9075
108+42Budaya
54.529
109-37Rumah Gadang
45.1745
110+163Tujuan Pembangunan Berkelanjutan
32.8238
111+10Daftar kabupaten dan kota di Jawa Timur
31.7895
112+36Daftar kode telepon di Indonesia
41.2457
113-54Suku Batak
70.3071
114-20Kabinet Kerja
70.2803
115+87Google
91.955
116-18Daftar perguruan tinggi kedinasan di Indonesia
23.7354
1170Monumen Nasional
50.1515
118-23Penelitian kualitatif
10.4505
119-15Kepangkatan Tentara Nasional Indonesia
38.857
120-15Islam
76.552
121-6Pencak silat
66.7835
122+118Sutomo
27.5466
123-3Partai Komunis Indonesia
82.1093
124+2Daftar kabupaten dan kota di Jawa Barat
30.5542
125+31Daftar kabupaten dan kota di Jawa Tengah
33.7648
126+20Megawati Soekarnoputri
43.5944
127-51Kerajaan Kutai
27.5447
128+58Tahun Baru Imlek
31.8433
129+109Sistem operasi
26.4297
130-17Demokrasi
69.6485
131+329Pemberontakan PKI 1948
34.9736
132-48Perang Dunia I
93.5554
133-33Singapura
95.0838
134-37Asia Tenggara
44.2253
135+31Kesultanan Mataram
23.836
136+65Komunikasi
57.2563
137+476Perjanjian Renville
17.1107
138+71Kenakalan remaja
17.2724
139+6Bahasa Inggris
76.6202
140+54Teknologi
40.5806
141+24Dokter spesialis
15.5471
142-60Suku Dayak
71.6829
143+205Sejarah Indonesia (1945–1949)
63.7134
144+118Filsafat
84.3535
145-60Malaysia
92.1035
146+37Daftar partai politik di Indonesia
35.4286
147+1420Ancaman nonmiliter
16.94
148-85Suku Jawa
46.8775
149+77Perang Diponegoro
55.0699
150+534Efek rumah kaca
10.0388
151-52Sultan Agung dari Mataram
39.1261
152-17Muhammad
78.3066
153+14Kontingen Garuda
41.9225
154-12Agama
94.31
155+17Facebook
93.75
156+122Chairul Tanjung
51.4396
157-113Tsunami
85.9476
158-77Perdagangan internasional
21.0991
159+3Wikipedia bahasa Indonesia
42.9135
160-29Kalimantan Timur
79.5029
161-54Konflik Sampit
33.8345
162+153GO-JEK
77.1929
163-115Kebangkitan Nasional Indonesia
27.3533
164+162Budaya Indonesia
55.7337
165+4Magister
7.4677
166+100Perangkat lunak
20.7234
167+104Revolusi Industri
40.4751
168+9Alamat IP
35.6547
169+70Pendidikan
24.1843
170-23Telkom Indonesia
49.8672
171-57Sarekat Islam
26.1116
172-14Hak asasi manusia
100.0
173+9Daftar versi Android
80.0699
174-66Maluku
61.2359
175+44Kota Bandung
79.3636
176-42Instagram
49.9903
177+614Perundingan Linggarjati
20.6265
178+33Kesultanan Aceh
64.9376
179-42Kerajaan Singasari
37.6296
180+156Matahari
100.0
181-45Kalimantan Barat
71.1173
182+41Soetomo
7.8532
183+9Jawa
80.9905
184-98Tari Saman
34.2178
185+808Pertempuran Medan Area
10.2568
186+146Kesultanan Banten
87.552
187-9Belanda
61.3356
188+7Umar bin Khattab
64.5078
189-142Daftar suku bangsa di Indonesia
28.7724
190-36Daftar ibu kota provinsi di Indonesia
86.25
191+27BTS (grup musik)
88.7235
192+1084Pencemaran
20.333
193+629Fiksi
62.2855
194+455Konferensi Meja Bundar
36.2552
195+33Model OSI
19.1067
196-28Banten
60.415
197-10Tarif dasar listrik
40.7701
198-92Sulawesi Selatan
48.7318
199+48Kota Surabaya
70.6695
200-68Abu Bakar Ash-Shiddiq
50.149
<< < 1-100 | 101-200 | 201-300 | 301-400 > >>

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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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