PERAMALAN PENJUALAN BAKERY & CAKE DI ALANA JUST BAKED MENGGUNAKAN RANDOM FOREST DAN SUPPORT VECTOR REGRESSION (STUDI KASUS : FLUKTUASI PENJUALAN)

Fatimah Zahra, . (2024) PERAMALAN PENJUALAN BAKERY & CAKE DI ALANA JUST BAKED MENGGUNAKAN RANDOM FOREST DAN SUPPORT VECTOR REGRESSION (STUDI KASUS : FLUKTUASI PENJUALAN). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Alana Just Baked is a bakery and café with higher sales of food items (bakery and cake) compared to beverages. However, throughout 2023, the sales of bakery and cake exhibited highly diverse and fluctuating patterns each month, creating uncertainty for the business. Additionally, Alana Just Baked has been unable to accurately predict its product sales. Therefore, this study aims to forecast bakery and cake sales using Random Forest Regression (RFR) and Support Vector Regression (SVR) methods and to propose improvements related to food sales by analyzing food sales attributes. The results indicate that the best-performing algorithm for predicting bakery and cake sales at Alana Just Baked is RFR. The RFR algorithm achieved optimal performance after hyperparameter tuning, with an RMSE of 35.7414, MAE of 19.8136, and R^2 of 0.8416. In contrast, the SVR algorithm produced an RMSE of 37.1528, MAE of 15.3436, and R^2 of 0.8288. Based on these results, the RFR algorithm, after hyperparameter tuning, was used to forecast bakery and cake sales from February to May 2024, resulting in a total projected sales of 7,129 pieces.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2010312035] [Pembimbing: Yulizar Widiatama] [Penguji 1: Santika Sari] [Penguji 2: Muhammad As'adi]
Uncontrolled Keywords: Keyword : Bakery and Cake, Fluctuations, Sales Forecasting, RFR, SVR
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik > Program Studi Teknik Industri (S1)
Depositing User: FATIMAH ZAHRA
Date Deposited: 01 Aug 2024 03:24
Last Modified: 02 Aug 2024 02:14
URI: http://repository.upnvj.ac.id/id/eprint/31867

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