Analisis Manajemen Persediaan Bahan Baku Green Bean Kopi Arabika di Leuit Kole Kopi

Abstract

RANGGA ALFIANSYAH. Analisis Manajemen Persediaan Bahan Baku Green Bean Kopi Arabika di Leuit Kole Kopi. Dibimbing oleh NURUL HIDAYATI dan DIKI AKHWAN MULYA. Leuit Kole Kopi menghadapi permasalahan pengelolaan persediaan bahan baku green bean akibat permintaan yang meningkat dan pasokan yang bersifat musiman. Penelitian ini bertujuan menganalisis karakteristik permintaan, menentukan metode peramalan terbaik, dan menganalisis manajemen persediaan berdasarkan hasil peramalan. Penelitian menggunakan data historis permintaan bulanan periode Juni 2024–Mei 2026 dengan membandingkan metode Single Exponential Smoothing (SES), Holt, dan Holt Winters Additive menggunakan indikator MAD, MSE, dan MAPE. Hasil penelitian menunjukkan bahwa Holt Winters Additive merupakan metode terbaik dengan nilai MAD 50,41, MSE 3.852,46, dan MAPE 12,02%. Hasil peramalan menghasilkan EOQ sebesar 2.019,58 kg, Safety Stock sebesar 114,85 kg, ROP sebesar 216,58 kg, dan TIC sebesar Rp1.961.224,11. Penerapan manajemen persediaan mampu mendukung ketersediaan bahan baku dan meningkatkan efisiensi biaya persediaan. Kata kunci: economic order quantity, green bean, kopi arabika, manajemen persediaan, peramalan.

RANGGA ALFIANSYAH. Inventory Management Analysis of Arabica Coffee Green Bean Raw Materials at Leuit Kole Kopi. Supervised by NURUL HIDAYATI and DIKI AKHWAN MULYA. Leuit Kole Kopi experienced inventory management problems due to increasing demand and seasonal raw material supply. This study aimed to analyze demand characteristics, determine the most accurate forecasting method, and analyze inventory management based on the forecasting results. Monthly demand data from June 2024 to May 2026 were analyzed using Single Exponential Smoothing (SES), Holt, and Holt-Winters Additive, which were evaluated using MAD, MSE, and MAPE. The results showed that Holt-Winters Additive was the best method, with a MAD of 50.41, an MSE of 3,852.46, and a MAPE of 12.02%. The forecasting results produced an Economic Order Quantity of 2,019.58 kg, a Safety Stock of 114.85 kg, a Reorder Point of 216.58 kg, and a Total Inventory Cost of IDR 1,961,224.11. The proposed inventory management approach improved raw material availability and inventory cost efficiency. Keywords: arabica coffee, economic order quantity, forecasting, green bean, inventory management.