MAYUFID, FRISKO (2023) PEMBUATAN APLIKASI ANDROID SISTEM PAKAR DENGAN METODE NAÏVE BAYES UNTUK MENDETEKSI KERUSAKAN SMARTPHONE REDMI. S1 thesis, Universitas Mercu Buana - Menteng.
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Abstract
Sebuah laporan baru dari Emarketer menyatakan bahwa akan terdapat dua miliar pengguna smartphone aktif di seluruh dunia pada tahun 2016. Dengan banyaknya smartphone yang beredar terutama smartphone berbasis android maka sebagian smartphone akan mengalami kerusakan. Masing masing kerusakan smartphone memiliki masalah sendiri dan dapat diatasi dengan cara yang berbeda maka dari itu munculah gagasan sistem pakar untuk memecahkan masalah ini. Penggunaan teknologi dapat memprediksi kerusakan smartphone android yang dialami pengguna smartphone, dengan mengimplementasikan algoritma Naive Bayes pada penelitian ini dibuatlah aplikasi sistem pakar berbasis android menggunakan React Native yang menghasilkan akurasi sebesar 100 %. Kata kunci: Sistem Pakar, Naïve Bayes, Kerusakan Smartphone, Universitas Mercubuana A new report from Emarketer states that there will be two billion active smartphone users worldwide by 2016. With so many smartphones circulating, especially Android-based smartphones, some smartphones will experience damage. Each damaged smartphone has its own problems and can be solved in different ways, so the idea of an expert system emerged to solve this problem. The use of technology can predict damage to android smartphones experienced by smartphone users, by implementing the Naive Bayes algorithm in this study an android-based expert system application was made using React Native which produces an accuracy of 100%. Keywords: Expert Systems, Naïve Bayes, Smartphone Damage, Mercu Buana University
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41518110203 |
| Uncontrolled Keywords: | Sistem Pakar, Naïve Bayes, Kerusakan Smartphone, Universitas Mercubuana,Expert Systems, Naïve Bayes, Smartphone Damage, Mercu Buana University |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | MELATI CAHYA FITRIANI |
| Date Deposited: | 09 Aug 2023 06:53 |
| Last Modified: | 09 Aug 2023 06:53 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/80060 |
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