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      "title": "{JALUR NON REGULER - LOMBA} IMPLEMENTASI OPEN AI UNTUK MANAJEMEN KEUANGAN MAHASISWA: OCR, CHATBOT, DAN FINANCIAL ADVISOR PADA APLIKASI SEIMBANG.IN",
      "date": "2026-01-21",
      "keywords": "Manajemen Keuangan, Backend, OpenAI, OCR, Logika Hibrida, Financial Management, Hybrid Logic.",
      "abstract": "Literasi keuangan merupakan tantangan krusial bagi generasi muda dan\r\nmahasiswa, yang sering kali terkendala oleh keengganan melakukan pencatatan\r\ntransaksi manual serta kurangnya akses terhadap saran finansial yang personal.\r\nLaporan ini membahas pengembangan sisi server (backend) pada aplikasi\r\nSeimbang.in, sebuah platform manajemen keuangan yang mengintegrasikan\r\nkecerdasan buatan (Artificial Intelligence) untuk mengotomatisasi dan\r\nmempersonalisasi pengalaman pengguna. Penelitian ini berfokus pada\r\nimplementasi arsitektur REST API yang memanfaatkan kapabilitas model OpenAI.\r\nFitur Optical Character Recognition (OCR) dikembangkan menggunakan model\r\nGPT-4o Vision untuk mengekstraksi data dari gambar struk belanja menjadi format\r\nJSON yang terstruktur. \r\nFitur Chatbot cerdas dibangun menggunakan model GPT-4o dengan\r\nmekanisme Context Injection untuk menciptakan interaksi yang relevan dengan\r\nriwayat pengguna. Selain itu, fitur Financial Advisor menerapkan pendekatan\r\nLogika Hibrida (Hybrid Logic), yang menggabungkan kalkulasi matematis\r\ndeterministik pada server dengan kemampuan narasi model GPT-4o-mini, guna\r\nmemitigasi risiko halusinasi data. \r\nHasil pengujian menunjukkan bahwa sistem backend mampu memproses\r\ninput visual struk secara akurat dan memberikan rekomendasi keuangan yang\r\npresisi serta kontekstual. Implementasi ini membuktikan bahwa integrasi Large\r\nLanguage Models (LLM) pada arsitektur backend dapat secara signifikan\r\nmeningkatkan efisiensi pencatatan dan kualitas edukasi finansial pengguna.",
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