PRASETYO, ADI (2020) IMPLEMENTASI ALGORITMA SIMILARITAS LANCE AND WILLIAMS PADA CASE-BASED REASONING UNTUK PENYELESAIAN MASALAH DATA INTERNET PELANGGAN CORPORATE PT TELKOM INDONESIA. Undergraduate thesis, Universitas Stikubank.
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Abstract
Salah satu (ISP) Internet Service Provider terkenal di Indonesia yaitu PT Telkom Indonesia dengan produk data internet untuk kalangan perusahaan meliputi Astinet, Metro-E, dan VPNIP, di sisi lain perusahaan corporate memerlukan waktu yang efektif dan cepat guna mengatasi gangguan pada layanan data internet karena untuk kelancaran operasional perusahaan agar terus berjalan. Untuk mengatasi hal tersebut, dapat menggunakan artificial intelligence dengan menerapkan algoritma Lance and Williams dan metode Case-Based Reasoning yang dikembangkan dalam bentuk aplikasi yang dapat memberikan penyelesaian solusi masalah berdasarkan keluhan pelanggan corporate dan lampu indikator pada modem yang mempermudah mengatasi gangguan secara dini oleh pelanggan corporate. Di dalam penelitian pelanggan corporate dapat melakukan konsultasi dengan memilih indikator sesuai dengan keadaan yang terjadi, masing-masing indikator diberikan bobot 1 yang dapat memberikan perhitungan cepat dan sederhana, meskipun apabila dibandingan dengan indikator yang berbobot tingkat akurasinya akan lebih tinggi. Hasil konsultasi tertinggi dapat dijadikan solusi penanganan gangguan, apabila hasil konsultasi tertinggi ≤ 20% maka tidak bisa dijadikan solusi kemudian masuk ke dalam revise, nilai ‘a’ merupakan jumlah kesamaan antara indikator saat konsultasi dan data di dalam database, semakin banyak ‘a’ maka tingkat kemiripan akan semakin tinggi. One of the most famous Internet Service Providers (ISPs) in Indonesia, PT Telkom Indonesia, with internet data products for companies provided by Astinet, Metro-E, and VPNIP, although, the company provides effective and fast time to use service changes. internet data due to the smooth operation of the company in order to continue running. To overcome this, artificial intelligence can be used by using the Lance and Williams algorithm and Case-Based Reasoning methods developed in the form of applications that can provide solutions to problem solving in customer companies and indicator lights on modems that can be accessed by corporate customers. In this research, companies can conduct consultations by selecting indicators that correspond to the circumstances that occur, each indicator is given a weighting of 1 that can provide quick and simple calculations, facing struggles compared to indicators weighing higher levels of accuracy. The highest consultation results can be made handling solutions, get the highest consultation results ≤ 20% then the solution cannot be used then enter into revision, the value of 'a' is the amount related between the indicator during consultation and data in the database, the more 'a' the higher of the level of similarity will be.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | NIM.16.01.53.0027 SKR.I.05.01.1876 |
| Uncontrolled Keywords: | Gangguan, Android, Case-based reasoning, Similaritas Lance&Williamsxvi Interference, Android, Case-based reasoning, Lance & Williams similarity |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty / Institution: | Fakultas Teknologi Informasi > Program Studi Teknik Informatika |
| Depositing User: | H Hayati |
| Date Deposited: | 09 Sep 2020 04:01 |
| Last Modified: | 09 Sep 2020 04:01 |
| URI: | https://eprints.unisbank.ac.id/id/eprint/7038 |
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