Jilan Ablah Hanifah, . (2026) RANCANG BANGUN APLIKASI MOBILE SIMULASI INVESTASI PINTAR DAN PREDIKSI SAHAM SEKTOR EKONOMI DIGITAL BERBASIS LSTM. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The growing number of capital market investors in Indonesia, reaching 14,001,651 SIDs in 2024, has not been matched by novice investors' readiness to make sound investment decisions. A survey of 41 respondents found that 78% feared making wrong decisions, 58.5% had no place to practice through trial-and-error, and 97.6% considered hands-on practice important before using real money. This problem is worsened by the absence of an app targeting digital economy sector stocks while integrating AI-based prediction and automated risk management. This study aims to design and develop an Android smart investment simulation app based on Long Short-Term Memory (LSTM), focusing on digital economy sector stocks, namely DCII, EDGE, and MTEL, using the Rapid Application Development (RAD) method. The app was built with Kotlin Native Android using MVVM architecture on the frontend, Python-based FastAPI deployed on Google Cloud Run for the backend, and Supabase as the database. Main features include stock trading simulation using a Price-time priority Order Matching, closing price prediction using LSTM, investment recommendations based on Bollinger bands, RSI, and MACD, and Auto Stop loss/Take profit based on Average True Range (ATR). Testing included Unit Testing (PyTest and JUnit), Integration Testing (Postman), and Black Box system testing in production. Results across 33 scenarios covering 6 functional modules showed a 100% success rate, proving all features work as specified and confirming successful validation of the Order Matching.
| Item Type: | Thesis (Skripsi) |
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| Additional Information: | [No.Panggil: 2210511139] [Pembimbing 1: Neny Rosmawarni] [Pembimbing 2: Muhammad Panji Muslim] [Penguji 1: Musthofa Galih Pradana] [Penguji 2: Kharisma Wiati Gusti] |
| Uncontrolled Keywords: | Long Short-Term Memory, Order Matching, Stock Price Prediction, Investment Simulation |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | JILAN ABLAH HANIFAH |
| Date Deposited: | 08 Sep 2026 07:55 |
| Last Modified: | 08 Sep 2026 07:55 |
| URI: | http://repository.upnvj.ac.id/id/eprint/51932 |
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