Laporan Kegiatan Magang di PT Samator - Head Office Jakarta

Ajie, Amira Adilla Paramadina (2025) Laporan Kegiatan Magang di PT Samator - Head Office Jakarta. Project Report. [s.n], [s.l.]. (Unpublished)

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Abstract

Laporan magang ini disusun sebagai bentuk dokumentasi atas kegiatan magang yang dilaksanakan di PT Samator – Head Office Jakarta selama periode Maret hingga September 2025. Magang ini bertujuan untuk mengaplikasikan ilmu statistika bisnis dalam praktik dunia industri, khususnya di bidang supply chain management. Penulis ditempatkan sebagai Supply Chain Analyst Intern dan terlibat dalam berbagai aktivitas seperti pengembangan database forecast dan simulasi stok, pembuatan dashboard monitoring stok harian, penyusunan infografis performa distribusi, serta peramalan jumlah pengiriman produk gas industri menggunakan model ARIMA. Metode statistik yang digunakan mencakup analisis deskriptif, time series forecasting, dan evaluasi performa model dengan metrik akurasi seperti MAPE dan RMSE. Hasil dari kegiatan ini menunjukkan bahwa pemanfaatan teknologi data melalui dashboard interaktif dan simulasi stok sangat membantu efisiensi pemantauan distribusi dan perencanaan logistik. Selain itu, model ARIMA (2,1,2) terbukti cukup akurat untuk meramalkan jumlah pengiriman harian. Magang ini memberikan kontribusi nyata bagi perusahaan serta meningkatkan kompetensi teknis dan soft skills penulis dalam dunia kerja profesional.
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This internship report documents the activities carried out during the internship program at PT Samator – Head Office Jakarta, conducted from March to September 2025. The internship aimed to apply knowledge from business statistics in a real industrial setting, particularly within the field of supply chain management. The author served as a Supply Chain Analyst Intern, actively participating in various tasks such as the development of forecast and stock simulation databases, creation of stock monitoring dashboards, preparation of company performance infographics, and forecasting daily gas product shipments using the ARIMA model. Statistical methods applied included descriptive analysis, time series forecasting, and model accuracy evaluation using metrics such as MAPE and RMSE. The results indicated that the utilization of real-time dashboards and stock simulations significantly enhanced the efficiency of distribution monitoring and logistical planning. Furthermore, the ARIMA (2,1,2) model demonstrated sufficient accuracy for forecasting daily shipment volumes. This internship not only contributed practical value to the company but also strengthened the author’s technical and soft skills in a professional work environment

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	magang, supply chain, statistika bisnis, forecast, dashboard, ARIMA, PT Samator internship, supply chain, business statistics, forecast, dashboard, ARIMA, PT Samator
Subjects:	Q Science > QA Mathematics > QA276 Mathematical statistics. Time-series analysis. Failure time data analysis. Survival analysis (Biometry)
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Amira Adilla Paramadina Ajie
Date Deposited:	31 Jul 2025 09:20
Last Modified:	31 Jul 2025 09:20
URI:	http://repository.its.ac.id/id/eprint/123466

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