NAINGGOLAN, RIO IPAN DONI (2023) PERBANDINGAN ALGORITMA KNN DAN LOGISTIC REGRESSION PADA ANALISIS SENTIMEN REVIEW APLIKASI TRAVELOKA. S1 thesis, Universitas Mercu Buana Bekasi.
|
Text
41519210042-RIOIPANDONINAINGGOLAN-01 COVER.pdf Download (605kB) | Preview |
|
|
Text
41519210042-RIOIPANDONINAINGGOLAN-02 ABSTRAK.pdf Download (145kB) | Preview |
|
![[img]](https://repository.mercubuana.ac.id/style/images/fileicons/text.png) |
Text
41519210042-RIOIPANDONINAINGGOLAN-03 BAB 1.pdf Restricted to Registered users only Download (167kB) |
|
|
Text
41519210042-RIOIPANDONINAINGGOLAN-04 BAB 2.pdf Restricted to Registered users only Download (258kB) |
|
|
Text
41519210042-RIOIPANDONINAINGGOLAN-05 BAB 3.pdf Restricted to Registered users only Download (187kB) |
|
|
Text
41519210042-RIOIPANDONINAINGGOLAN-06 BAB 4.pdf Restricted to Registered users only Download (538kB) |
|
|
Text
41519210042-RIOIPANDONINAINGGOLAN-07 BAB 5.pdf Restricted to Registered users only Download (97kB) |
|
|
Text
41519210042-RIOIPANDONINAINGGOLAN-08 DAFTAR PUSTAKA.pdf Restricted to Registered users only Download (172kB) |
|
|
Text
41519210042-RIOIPANDONINAINGGOLAN-09 DAFTAR LAMPIRAN.pdf Restricted to Registered users only Download (2MB) |
Abstract
Persaingan bisnis dalam dunia pelayanan jasa booking online menggunakan aplikasi saat ini sudah sangat marak dan sering terjadi. Traveloka merupakan salah satu jasa booking online untuk melakukan transaksi pembelian tiket transportasi hingga pembookingan hotel secara online yang terkena dampak persaingan tersebut. Kepuasan konsumen dapat dilihat melalui ulasan sebagai informasi track record yang baik dalam dunia penerbangan. Ulasan tersebut dapat dilihat dari komentar yang ada pada aplikasi Traveloka di Google PlayStore. Analisis sentimen biasanya digunakan untuk acuan sebuah perusahaan dalam meningkatkan produk dan layanan berdasarkan umpan balik pelanggan menggunakan teknologi AI. Algoritma yang digunakan pada penelitian ini yaitu KNN & Logistic Regression. Dalam kasus analisis sentimen review aplikasi traveloka memiliki akurasi lebih baik ketimbang KNN dengan akurasi sebesar 91.58% dan KNN sebesar 89.01% dimana selisih >2%. Pada penelitian ini penulis menggunakan algoritma Logistic Regression untuk memprediksi data baru karena memiliki akurasi yang lebih baik ketimbang KNN. Business competition in the world of online booking services using applications is currently very widespread and occurs frequently. Traveloka is one of the online booking services for making transportation ticket purchase transactions to online hotel bookings that are affected by this competition. Consumer satisfaction can be seen through reviews as good track record information in the world of aviation. These reviews can be seen from the comments on the Traveloka application on the Google PlayStore. Sentiment analysis is usually used as a reference for a company in improving products and services based on customer feedback using AI technology. The algorithm used in this research is KNN & Logistic Regression. In the case of sentiment analysis, the Traveloka application review has better accuracy than KNN with an accuracy of 91.58% and KNN of 89.01% where the difference is > 2%. In this study the authors used the Logistic Regression algorithm to predict new data because it has better accuracy than KNN.
| Item Type: | Thesis (S1) |
|---|---|
| Call Number CD: | FIK/INFO 23 007 |
| NIM/NIDN Creators: | 41519210042 |
| 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: | siti maisyaroh |
| Date Deposited: | 18 Dec 2023 06:18 |
| Last Modified: | 18 Dec 2023 06:18 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/84747 |
Actions (login required)
 |
View Item |
