PEMILIHAN METODE PERAMALAN TIME SERIES PADA JASA PENGIRIMAN PETI KEMAS DI PERUSAHAAN PT XYZ

WILSON HOTMO IANI ROKA GAJAH, . (2025) PEMILIHAN METODE PERAMALAN TIME SERIES PADA JASA PENGIRIMAN PETI KEMAS DI PERUSAHAAN PT XYZ. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan untuk memilih metode peramalan time series pada bagaimana pengiriman peti kemas di perusahaan PT XYZ. Permintaan pengiriman peti kemas cenderung berfluktuasi dari waktu ke waktu, sehingga diperlukan model peramalan yang akurat untuk membantu perusahaan dalam merencanakan kapasitas dan mengoptimalkan operasional. Dalam penelitian ini, digunakan beberapa metode peramalan time series, seperti Metode Smoothing, Exponential Smoothing, dan trend analysis. Data historis permintaan selama periode tertentu dianalisis untuk menentukan model yang paling sesuai berdasarkan kriteria akurasi seperti Mean Absolute Deviation, Mean Square Error, Mean Forecast Error, Mean Absolute Percentage Erro ***** This study aims to determine the appropriate time series forecasting method for predicting the demand for sea logistics services at PT XYZ Agencies Indonesia. The demand for sea logistics services tends to fluctuate over time, making an accurate forecasting model necessary to help the company plan capacity and optimize operations. Several time series forecasting methods, such as the Smoothing Method, Exponential Smoothing, and Trend Analysis, are applied in this study. Historical demand data over a specific period is analyzed to determine the most suitable model based on accuracy criteria such as Mean Absolute Deviation, Mean Square Error, Mean Forecast Error and Mean Absolute Percentage Error. Keywords: Forecasting, Time Series, Smoothing, Exponential Smoothing,trended analys.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Kencana Verawati, S.S.T.,M.M.Tr. ; 2). Vivian Karim Ladesi, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Hidraulik, Pelabuhan, Irigasi
Divisions:	FT > D IV Manajemen Pelabuhan dan Logistik Maritim
Depositing User:	Wilson Hotmo Iani Roka Gajah .
Date Deposited:	27 Feb 2025 01:33
Last Modified:	27 Feb 2025 01:33
URI:	http://repository.unj.ac.id/id/eprint/53238

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