PT Bank XYZ Persero Tbk

Taqiudin, Akmal Rifqy (2025) PT Bank XYZ Persero Tbk. Project Report. [s.n.], [s.l.]. (Unpublished)

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Abstract

Laporan magang ini disusun berdasarkan kegiatan praktik kerja lapangan yang dilaksanakan di Divisi Trade Service PT Bank XYZ (Persero) Tbk selama periode Februari hingga Juni 2025. Tujuan dari kegiatan ini adalah untuk mengaplikasikan ilmu Statistika Bisnis dalam lingkungan kerja nyata, khususnya pada sektor perbankan yang berfokus pada layanan perdagangan internasional. Selama magang, penulis mengembangkan sistem manajemen basis data untuk transaksi issuing bank menggunakan Microsoft Access, VBA, dan SQL; membangun dashboard monitoring interaktif dengan Microsoft Excel; serta menyusun video edukatif mengenai layanan Trade Service. Selain itu, dilakukan pula analisis peramalan harga saham BMRI menggunakan metode Long Short-Term Memory (LSTM) untuk mendukung pengambilan keputusan investasi. Hasil kegiatan ini menunjukkan bahwa penerapan pendekatan data-driven dalam operasional perbankan mampu meningkatkan efisiensi, transparansi, dan akurasi dalam layanan trade finance. Pada analisis peramalan saham, model LSTM yang digunakan berhasil menghasilkan tingkat akurasi yang baik dengan nilai Mean Absolute Percentage Error (MAPE) sebesar 2,58%. Model ini juga memproyeksikan adanya potensi tren kenaikan harga saham BMRI dalam 60 hari ke depan, dengan nilai korelasi positif yang relatif kecil, sehingga diperlukan analisis tambahan sebagai pendukung referensi dalam pengambilan keputusan investasi berbasis data. Pengalaman ini memberikan kontribusi nyata terhadap peningkatan kompetensi profesional dan kesiapan kerja mahasiswa Statistika Bisnis.
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This internship report is based on fieldwork activities carried out in the Trade Service Division of PT Bank XYZ (Persero) Tbk during the period of February to June 2025. The purpose of this internship was to apply Business Statistics knowledge in a real work environment, particularly in the banking sector focused on international trade services. During the internship, the author developed a database management system for issuing bank transactions using Microsoft Access, VBA, and SQL; built an interactive monitoring dashboard using Microsoft Excel; and produced an educational video explaining the Trade Service division and its functions. In addition, a stock price forecasting analysis for BMRI was conducted using the Long Short-Term Memory (LSTM) method to support investment decision-making. The results show that applying a data-driven approach in banking operations can enhance efficiency, transparency, and accuracy in trade finance services. In the stock forecasting analysis, the LSTM model achieved good predictive accuracy with a Mean Absolute Percentage Error (MAPE) of 2.58%. The model also projected a potential upward trend in BMRI stock prices over the next 60 days, albeit with a relatively low positive correlation value, indicating that further analysis is needed to strengthen its use as a reference for data-based investment decisions. This experience significantly contributed to the enhancement of professional competence and career readiness for Business Statistics students.

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Internship, Business Statistics, Trade Finance, Issuing Bank, Dashboard, LSTM, Stock Forecasting, Magang, Statistika Bisnis, Trade Finance, Issuing Bank, Dashboard, LSTM, Peramalan Saham
Subjects:	H Social Sciences > HA Statistics > HA30.3 Time-series analysis
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Akmal Rifqy Taqiudin
Date Deposited:	06 Aug 2025 04:21
Last Modified:	06 Aug 2025 04:21
URI:	http://repository.its.ac.id/id/eprint/127700

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