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Journal of System and Computer Engineering (JSCE)
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Aplikasi Pendeteksi Dini Kanker Serviks Berbasis Android

Authors: Nursuci Putri Husain; Herlinah B;

Aplikasi Pendeteksi Dini Kanker Serviks Berbasis Android

Abstract

Kanker serviks merupakan pertumbuhan dari suatu kelompok sel yang tidak normal pada serviks (mulut rahim). Minimnya pengetahuan mendiagnosa yang dimiliki wanita terhadap kanker serviks sekitar 60% - 77%. Kurangnya pengetahuan diagnosa tentang gejala kanker serviks sehingga banyak perempuan tidak mengetahui gejala kanker serviks dan memiliki dua kemungkinan apakah itu gejala kanker serviks atau gejala penyakit lainnya. Tujuan penelitian merancang aplikasi pendeteksi dini kanker serviks berbasis android guna memantau secara dini penyakit kanker serviks dalam membantu perempuan mendiagnosa secara mandiri. Metode penelitian R&D (Research and Development) berfungsi menghasilkan, mengembangkan serta menguji keefektifan produk (aplikasi pendeteksi dini kanker serviks berbasis android) dan metode forward chaining berfungsi dalam pengambilan keputusan berdasarkan fakta yang di input sehingga menghasilkan kesimpulan. Hasil pengujian aplikasi terdapat 4 menu utama yaitu menu home, diagnosa, hasil diagnosa serta profil, dimulai dengan pengguna mengklik menu diagnosa dalam memilih gejala yang dialaminya, kemudian pengguna mengklik menu hasil diagnosa untuk melihat hasil dari gejala yang telah diagnosanya dan memiliki 4 kriteria yaitu kanker serviks stadium 1, kanker serviks stadium 2, kanker serviks stadium 3 dan kanker serviks stadium 4. Kesimpulan aplikasi dimana fungsional input dan output berjalan dengan dengan baik sesuai dengan konsep dasar yang telah dibuat serta dapat diimplementasikan.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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