JAELANI, RONI (2020) IMPLEMENTASI ANALISIS ABC, FORECASTING DAN ECONOMIC ORDER QUANTITY (EOQ) UNTUK MENINGKATKAN KELANCARAN PROSES OPERASI. S2 thesis, Universitas Mercu Buana Jakarta.
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Abstract
The study aims to test the effectiveness of the implementation of several inventory control methods to improve the smooth operation in a trading company of industrial equipements components that have difficulty in maintaining inventory data accuracy, inventory shortages and in other hand excess unrequired inventory. The research data to be used is taken from the ERP report data and manual reports created by the perpetrators of the operational activities of the Inventory Control for the period 2016 - 2018. The sampling method used is purposive sampling of the product sales data in years 2016 – 2018 as much as 2498 Stock Keeping Unit (SKU) which is then processed using the method of ABC analysis and FSN (Fast Moving, Slow Moving and None Moving) analysis to get 10 SKUs that belongs to the category A and F (Fast Moving) group as a sample of research. The research method uses the Quantitative method with the use of ABC analysis, Forecasting and Economic Order Quantity. The results shows that the implementation of ABC analysis effectively reduced the workload of periodic counting and is able to improve data accuracy to be higher level. The exponential smoothing forecast method shows the least gap to the actual value and EOQ effectively optimizes ordering and holding costs and reduces the risk of failure in Inventory Control and positively affects the smoothness of the operation process. Keywords: Inventory Control, ABC analysis, perpetual stock check, economic order quantity and forecasting. Penelitian ini bertujuan menguji efektifitas penerapan beberapa metode pengendalian persediaan untuk meningkatkan kelancaran operasi pada sebuah perusahaan perdagangan komponen alat-alat industri. Data penelitian yang akan digunakan merupakan data laporan ERP dan laporan-laporan manual yang dibuat oleh para pelaku kegiatan operasional pengendalian persediaan untuk periode observasi 2016 - 2018. Metode sampling vang digunakan adalah purposive sampling dari populasi data penjualan produk di tahun 2016 – 2018 sebanyak 2498 stock keeping unit (SKU) yang kemudian diolah menggunakan metode analisis ABC dan analisis FSN untuk kemudian medapatkan 10 SKU yang termasuk dalam Kategori A dan Kelompok F (fast moving) sebagai sampel penelitian. Metode analisis yang digunakan adalah Analisis ABC, forecasting atau peramalan dan EOQ. Hasil penelitian menunjukkan penerapan pengendalian persediaan mampu mengurangi resiko kegagalan dalam pengendalian persediaan dan berpengaruh positif terhadap kelancaran proses operasi. Hasil penelitian menunjukan bahwa penerapan analisis ABC efektif mengurangi beban kerja perthitungan berkala dan mampu meningkatkan akurasi data ketingkat yang lebih baik. Metode ramalan exponential smoothing menunjukan gap yang paling kecil terhadap nilai aktual dan EOQ efektif mengoptimalkan biaya penyimpanan dan pemesanan. Kata kunci: pengendalian persediaan, analisis ABC, stock check, economic order quantity, forecasting.
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