Topic: rupiah Goto Github
Some thing interesting about rupiah
Some thing interesting about rupiah
rupiah,Library ini akan merubah angka menjadi bilangan dalam Bahasa Indonesia. Misal, 1000000 menjadi '1 Juta'
User: afrijaldz
Home Page: https://www.npmjs.com/package/nominal-bilangan
rupiah,
User: andihaki
Home Page: https://denomination.netlify.com/
rupiah,Rupiah Paper Currency Recognition using Image Processing and Convolutional Neural Network (CNN). Image processing such as image enhancement and image segmentation were applied to reduce noise in dataset. CNN architectures used were VGG-16 and VGG-19.
User: ardinadnn
rupiah,Mengkonversi angka ke dalam format penulisan mata uang rupiah
Organization: develoka
Home Page: https://code.duapx.id/gist/735ee864fba07f730c7afe6cf76daac6?default-pans=html,js,output
rupiah,:moneybag: Calculate rupiah fractions directly from a web browser, without installing the application, without ads and free.
User: dhimasanb
rupiah,jQuery.rupiah is a plugin that convert to localized number to IDR and unlocalized string IDR to number.
User: eriestrisnadi
rupiah,Go library to converts number into Indonesian Rupiah format currency!
User: ezrantn
rupiah,Rupiah Detection
User: faridrizqi46
rupiah,Format Matang Uang Rupiah untuk Flutter.
User: fawankurniawan
rupiah,PHP Convert Mata Uang Dollar ke Rupiah dan Rupiah ke Dollar
User: hexageek1337
rupiah,Singkatan satuan rupiah dari Javascript
User: imamsutono
rupiah,php currency to word on Rupiah (IDR)
User: ipang-dwi
Home Page: http://www.firstplato.com
rupiah,About Input Format Rupiah use Javascript without jQuery
User: kasihtaumamang
rupiah,Guide Visually Impaired People to identify Rupiah Denomination with Computer Vision Tech
User: nuwbie-11
rupiah,Restrict Content Pro - Custom Currency (Rupiah)
User: superpikar
rupiah,Pada project ini, akan dilakukan identifikasi nilai mata uang rupiah dengan menggabungkan metode ekstrasi ciri Local Binary Pattern dan metode klasifikasi NaΓ―ve Bayes. Serta untuk pengukuran akurasi identifikasi dilakukan dengan metode evaluasi K-Fold Cross Validation. Dataset yang digunakan berupa citra dengan rincian terdapat 120 citra yang terdiri dari 15 citra uang kertas Rp1.000, 15 citra uang kertas Rp2.000, 15 citra uang kertas Rp5.000, 15 citra uang kertas Rp10.000, 15 citra uang kertas Rp20.000, 15 citra uang kertas Rp50.000, 15 citra uang kertas Rp75.000, dan 15 citra uang kertas Rp100.000
User: weniariska
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