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ANALISA KINERJA KEUANGAN PERUSAHAAN BIDANG OTOMOTIF YANG TERDAFTAR DI BEI ( PT. Astra Internasional Tbk) Pangestu, Fattah Jati; Watini, Katarina
Jurnal Aktual Akuntansi Keuangan Bisnis Terapan (AKUNBISNIS) Vol 6, No 2 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/akunbisnis.v6i2.5186

Abstract

Financial performance is one of important aspect to determine company health. This research is to determine how good is financial performance of PT. Astra International Tbk one of the giant in automotive industry. Financial performance is measured by quantity method by profitability, liquidity and solvability ratio from 2017 to 2022. Result of this research is showed that financial performance of PT Astra International Tbk is on good condition. Based on profitability, liquidity and solvability ratio for 5 years PT. Astra International Tbk need to improve to increasing their sale, but afterall PT. Astra International Tbk had a good job.
Peramalan Permintaan Sepatu Sandal pada UMKM Mulyaharja Kota Bogor Irawan, Suhendi; Sinaga, Antonya Rumondang; Kartinawati, Annisa; Hidayat, Agung Prayudha; Dardanella, Derry; Santosa, Sesar Husen; Indrawan, Purana; Apriliani, Fany; Yusri, Doni; Wijaya, Hendri; Pangestu, Fattah Jati; Rahmawati, Novia
Go-Integratif : Jurnal Teknik Sistem dan Industri Vol 5 No 02 (2024): Go-Integratif : Jurnal Teknik Sistem dan Industri
Publisher : Engineering Faculty at Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/gijtsi.v5i02.12534

Abstract

MSMEs are one of the important sectors to support economic growth. In the midst of increasingly tight competition, business actors need to implement effective strategies to anticipate fluctuations in market demand so that accurate demand forecasting is a crucial step to ensure optimal stock availability. Currently, MSMEs only make predictions based on instinct and experience, not based on mathematical calculations, so that sometimes there is overstock or understock of the goods produced. This study analyzes the demand for sandals and shoes at MSME Mulyaharja, Bogor City using the moving average and exponential smoothing methods. The purpose of this study is to determine the most accurate forecasting method to optimize inventory management and minimize the risk of shortages or excess stock. Historical sales data for one year is used as the basis for the analysis. The results of the comparative analysis of forecasting errors show that the Moving average method with 2 periods provides the most accurate results, with a Mean Absolute Deviation (MAD) value of 54, Mean Squared Error (MSE) of 3380, and Mean Absolute Percentage Error (MAPE) of 18%. The conclusion of this study is that the 2-period Moving average method is the best method to be applied to Mulyaharja UMKM, by applying this forecasting method, overstock and understock of product inventory can be reduced because the amount of production produced is close to the amount of customer demand.