Maulana Yusuf, . (2024) TOPIC MODELING ULASAN NEGATIF PENGGUNA APLIKASI MYMRTJ DENGAN METODE LATENT DIRICHLET ALLOCATION. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (145kB) |
|
Text
AWAL.pdf Download (1MB) |
|
Text
BAB I.pdf Download (184kB) |
|
Text
BAB II.pdf Restricted to Repository UPNVJ Only Download (310kB) |
|
Text
BAB III.pdf Restricted to Repository UPNVJ Only Download (318kB) |
|
Text
BAB IV.pdf Restricted to Repository UPNVJ Only Download (5MB) |
|
Text
BAB V.pdf Download (174kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (119kB) |
|
Text
DAFTAR RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (104kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (9MB) |
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (3MB) |
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (1MB) |
Abstract
Public transportation has become a mobility tool for many people to travel in major cities such as DKI Jakarta. This usage is accompanied by the need for using public transportation application as a modern medium for related public transportation mode developments. The MyMRTJ application has become one of the leading applications used by MRT users in the Special Capital Region of Jakarta, Indonesia. However, in daily usage, there are often negative reviews from users on Google Play Store and the App Store regarding their experience with the MyMRTJ application. These negative reviews cover various issues up to dissatisfaction with customer service. It is important to conduct in-depth analysis of user's negative reviews of the MyMRTJ application using appropriate methods. In this research, the author used the Latent Dirichlet Allocation method to analyze the topics present in the reviews. The research results, conducted by iterating from 2 to 15 topics with 10 random experiments, yielded the highest topic number of 3 topics with an average coherence score of 0,734 and the highest score of 0,75. From the topic interpretation, 3 topics were generated: Registration & Login, Payment Methods, and Ticketing & System.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010512034] [Pembimbing: Rio Wirawan] [Penguji 1: I Wayan Widi Pradnyana] [Penguji 2: Zatin Niqotaini] |
| Uncontrolled Keywords: | Latent Dirichlet Allocation, MyMRTJ, Topic Modeling |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | MAULANA YUSUF |
| Date Deposited: | 05 Sep 2024 08:08 |
| Last Modified: | 05 Sep 2024 08:08 |
| URI: | http://repository.upnvj.ac.id/id/eprint/30248 |
Actions (login required)
 |
View Item |