Pasaribu, Raulian Franciskus
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Analysis forecasting sales of tart products Pangestuti, Dewi Cahyani; Pasaribu, Raulian Franciskus
INOVASI Vol 17, No 4 (2021)
Publisher : Faculty of Economics and Business Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.733 KB) | DOI: 10.29264/jinv.v17i4.10180

Abstract

Sales forecasting is an effective and efficient tool for organizations or business people to predict the products that will be produced. Sales forecasting is a method that uses historical data as a reference to get a picture of future value. This research was conducted at the Kuwenak Shop, which produces in the food sector, to be precise, cakes or birthday cakes. On the occasion of this research, there are three forecasting methods used, including moving average, exponential smoothing, and linear trend, taking into account the smallest error rate or error in each method. The linear trend forecasting method is the best choice because it has a low error rate. Specifically, the MAD error value is 2.4, the MSE error is 6.6, the MAPE error is 5.9% and the standard error is 9.3. From the data management on the selected method, the linear trend sales forecasting method for cake products predicts that for the next week, Kuwenak Shop s can produce 40.6 or 41 products. This means that Kuwenak Shop can provide 41 tarts the following week or even each week.
Comparative Analysis of the Influence of Financial Performance on the Capital Structure of Food and Beverage and Transportation Services Companies Listed on the IDX Pasaribu, Raulian Franciskus; sumilir, sumilir; Yudi Nur Supriadi
Jurnal Ekonomi dan Keuangan Syariah Vol. 4 No. 2 (2025): September 2025
Publisher : Peduli Riset dan Pengabdian Masyarakat

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Abstract

This study examines the factors that affect the capital structure of food and beverage sub-sector companies and transportation services sub-sectors listed on the Indonesia Stock Exchange (IDX) during the 2020-2022 period. The study also examines the comparison of the capital structure of food and beverage companies with transportation services during the 2020-2022 period. Sample determination technique using the purposive sampling method, the selection of samples from 25 companies in the food and beverage sub-sector resulted in 15 companies being accepted. Then from 36 companies in the Transportation Services sub-sector, 15 companies were accepted. Data analysis was carried out using Microsoft excel, Hypothesis testing using multiple linear regression analysis and differential test using Indpendent sample t-test with SPSS 23 program with a significance level of 5%. The test results were obtained that the profitability variable had a negative effect on the capital structure of the food and beverage company and transportation services. Next, the sales growth variable has no effect on the capital structure of food and beverage companies and transportation services. For food and beverage companies, the size of the company has no influence on the capital structure. However, unlike transportation service companies, the company size variable has a positive influence on the capital structure. The results of the study also show that there is a significant difference in capital structure between food and beverage companies and transportation services. Keywords: Profitability, sales growth, company size, capital structure, and independent sample t-test.