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Journal : Syntax Jurnal Informatika

ANALISIS PEMODELAN TOPIK ULASAN APLIKASI ACCESS BY KAI PADA GOOGLE PLAY STORE MENGGUNAKAN LATENT DIRICHLET ALLOCATION Febrianti, Amanda; Purnamasari, Intan; Maulana, Iqbal
SYNTAX Jurnal Informatika Vol 13 No 01 (2024): Mei 2024
Publisher : Universitas Singaperbangsa Karawang

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Abstract

PT Kereta Api Indonesia (KAI) has released a ticket booking application named Access by KAI, which has been downloaded over 10 million times and has received more than 187,000 reviews on Google Playstore. However, with the vast amount of review data for the Access by KAI application, it is still challenging to understand the aspects that need improvement. In this case, topic modeling is necessary to classify the reviews. The aim of this research is to apply the Latent Dirichlet Allocation (LDA) method to model topics of user reviews of the Access by KAI application on Google Playstore and to present recommendations derived from the data dictionary or bag-of-words through a fishbone diagram. This research uses the lifecycle of the data mining methodology, which consists of the stages of problem definition, selecting text data mining approach, data collecting, text standardization, text processing, feature extraction, analysis, and discovery. The results of this research identified a total of 7 topics with a coherence score of 0.40279302. The conclusions from each topic are as follows: Topic 1 discusses application updates, available versions, interface, and the relationship with stations and cities. Topic 2 involves users complaining about decreased application performance after updates. Topic 3 covers the use of the Access by KAI application to book train tickets, highlighting the app version, user experience, and app quality ranging from good to cumbersome. Topic 4 reports user difficulties in accessing, particularly issues with login and payment after app updates. Topic 5 focuses on login difficulties, slow app performance, and issues in the ticket booking and payment process. Topic 6 reflects user disappointment regarding performance decline in speed and login difficulties after updates. Topic 7 addresses user complaints about difficulties in purchasing train tickets through the KAI app following updates or upgrades.
Co-Authors Adhi Rizal Agustiyana, Rosela Aimede Primackof Pouryono Al Farezal, Rifky Alamry, Syarifah Helmiah Alfiah, Nur Rizqi Aliffia Kulsumarwati Andini, Rina Widia Anisa Aulia Annaz, Fajar Aprina, Tilawaty Asep Jamaludin Bagja Nugraha Baguspriawan, M Rendy Bella Aprianti Betha Nurina Sari Budi Arif Dermawan Carudin, Carudin Chosyiyah, Atut Indah Deesaeh, Khairul Anwar Dinar Hasnan Hariri Dori Lukman Hakim Dwi Setyaningsih Dzakiri, Labib Hanif E Haodudin Nurkifli Elin Nurlia Erik Arfan Suganda Erlina Suci Astuti, Erlina Suci Ernawati, Naya Fatiah Rahmadant, Tania Fatiah Rahmadanti, Tania Fauzan Osama, Mochamad Febrianti, Amanda Firaldi, Ilhan Firdausi, Stabita Firdiansyah, Adri Firmansyah, Dani Hamdan, Muhamad Handaria, Diana Hannie Hannie Hardiansyah, Firhan Hayuni, Okta Ros Hema Dewi Anggraheny Hidayat, Rofiq Ibnu Alfitra Salam Iin Khairunnisa Iqbal Maulana Irman Hermadi Jaman, Jajam Haerul Julius Widianto Pratama Putra Kamal Prihandani Khoirul Fahmi, Muhamad Komarudin, Oman Lulianthy, Eliyana Lusen, Vieri M Jajuli M. Rayhan Rizqullah Syarif Maulana, Asyifa Mayasari, Rini Muhamad Iqbal Faddillah Muhammad Azhari Sofyan, Chendra Mulyono Mulyono Nafi'ah, Nafi'ah Nafisah, Karunia Nirma Kurriwati, Nirma Nurfathullah, Muhammad NURUL HIDAYAH Nurul Miqat Oman Komarudin Padilah, Tesa Nur Paramitha, Dhiya Ayu Pratama, Riski Danan Prihandani, Kamal Putri, Dwi Khalisa Putri, Dyas Rahma Rafika Nur Rindhasari, Amelia Rini Mayasari Rivanka, Dika Rizal, Adhi Rohanah, Aan Salam, Ibnu Alfitra Samuel Bayulianto Santosa, Agil Sari, Alya Amelia Senjaya, Rico Septiadi, Michael shelladita fitriyani susilo Siska Siska Sofi Defiyanti Sulilawati, Susi Syaripudin, Rifky Teguh Irawan Valdi Irawan Virgayani Fattah Yahya Wijaya Yani Nurhadryani Yulis Indriyani Yusup, Irvan Maulana