Dewa, Bhagas Satrya and Chamsyah, Syuraini Noor and Yunansah, Fakhri Sabran (2026) BOLATIX - IMPLEMENTASI SISTEM REKOMENDASI PADA APLIKASI PEMBELIAN TIKET SEPAK BOLA. Project Report (Praktek Kerja Lapang dan Magang). UPN Veteran Jawa Timur. (Unpublished)
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Abstract
Football is an extremely popular sport in Indonesia, yet football clubs have faced serious challenges in recent years, particularly regarding a decline in stadium attendance. During the 2023–2024 Liga 1 season, attendance dropped by 27.6% due to supporter violence, ticketing difficulties, and ticket scalping. This situation not only diminishes the match atmosphere but also negatively impacts club revenues, potentially threatening their long-term financial sustainability. To address these challenges, BolaTix was developed as a digital platform aimed at enhancing the football fan experience in Indonesia. The application provides easy access to match ticket purchases, a data-driven match recommendation system, and secure transactions to eliminate ticket scalping. BolaTix also delivers real-time league updates, keeping fans connected with the latest information. Through these features, BolaTix aims to increase fan loyalty, strengthen the relationship between clubs and supporters, and drive higher stadium attendance. The project has three main objectives: providing an easy-to-use digital ticketing system, delivering a match recommendation system to attract fan interest, and helping clubs maximize ticket revenue by ensuring tickets reach genuine fans. The project's implementation methodology covers three key aspects: machine learning, mobile development, and cloud computing. In the machine learning aspect, a content-based recommendation system was developed to suggest relevant matches based on user preferences. Liga 1 data was used to build a recommendation model using TensorFlow with a word embedding approach that understands relationships between data points. This model is combined with a specialized neural network to improve prediction accuracy and relevance. In mobile application development, BolaTix employs modern technologies to ensure optimal performance and ease of use. Libraries used include Retrofit for backend access, Glide for image processing, and Material 3 for creating an intuitive user interface. A payment system was integrated using Midtrans, enabling fast and secure transactions. Additionally, MVVM (Model-View-ViewModel) architecture and LiveData were implemented to deliver a responsive, real-time experience for users. On the cloud computing side, a cloud architecture was designed to support system scalability and reliability. The machine learning model used is a content-based filtering recommendation model. This model is stored in Google Cloud Storage to leverage reliable and centralized cloud storage capabilities. The inference backend is built using Flask, which acts as a bridge between the recommendation model and the mobile application. Flask handles inference requests from the mobile app, retrieves the model from Google Cloud Storage when needed, and returns relevant recommendations based on the received user data. Firestore is used as the database for storing user preferences and data, forming the core of the recommendation pipeline. This cloud infrastructure ensures efficient, secure, and reliable application performance. Project results demonstrate that BolaTix delivers an innovative solution to Indonesia's football challenges through a machine learning-based content-based filtering recommendation system. The system provides recommendations based on user history and favorite teams, increasing fan interest in attending matches. Model evaluation shows strong performance, with an MSE of 4.5073 (full dataset) and 4.3175 (validation), and an MAE of 1.6780 (full dataset) and 1.6484 (validation), indicating low prediction error and accurate recommendations. By integrating modern technology, BolaTix creates a holistic experience that not only benefits fans but also helps clubs optimize revenue and build a stronger supporter community. BolaTix demonstrates that a technology-driven approach can deliver tangible impact in football management in Indonesia. With further development, the platform has the potential to be widely adopted by football clubs at both the national and international level.
| Item Type: | Monograph (Project Report (Praktek Kerja Lapang dan Magang)) | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA76.6 Computer Programming T Technology > T Technology (General) T Technology > T Technology (General) > T58.6-58.62 Management Information Systems |
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| Divisions: | Faculty of Computer Science > Departemen of Information Systems | ||||||||
| Depositing User: | Bhagas Satrya Dewa | ||||||||
| Date Deposited: | 25 May 2026 08:13 | ||||||||
| Last Modified: | 25 May 2026 08:13 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/52087 |
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