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Indriani Dwi Lestari
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Economics, Econometrics & Finance

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ANALISIS PERBANDINGAN METODE PERAMALAN (FORECASTING) PENJUALAN MOTOR LISTRIK PADA CV SANTOSA ABADI MOTOR PELAIHARI Indriani Dwi Lestari; Bella Puspita Rininda; Widiya Astuti Alam Sur; Marliza Noor Hayatie
Realible Accounting Journal Vol. 4 No. 2 (2025): Realible Accounting Journal
Publisher : LPPM Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/raj.v4i2.899

Abstract

The aim of this study is to identify the most accurate and effective forecasting method for CV. Santosa Abadi Motor Pelaihari in predicting the sales of electric motor products for the upcoming period. This research is a descriptive quantitative study utilizing secondary data, consisting of electric motor product sales data from 2023 through January-June 2024, obtained from the Administration department of CV Santosa Abadi Motor Pelaihari. The analysis involves comparing three forecasting methods: Trend Moment, Semi Average, and Least Square, and evaluating the accuracy of each method using the Mean Absolute Percentage Error (MAPE). The results indicate that the Trend Moment method yields a forecasting error percentage of 71%, the Semi Average method results in 23%, and the Least Square method shows 28%. Based on these findings, it can be concluded that the Semi Average method is more suitable for forecasting electric motor sales at CV Santosa Abadi Motor Pelaihari.
ANALISIS PERBANDINGAN METODE PERAMALAN (FORECASTING) PENJUALAN MOTOR LISTRIK PADA CV SANTOSA ABADI MOTOR PELAIHARI Indriani Dwi Lestari; Bella Puspita Rininda; Widiya Astuti Alam Sur; Marliza Noor Hayatie
Realiable Accounting Journal Vol 4 No 2 (2025): Realiable Accounting Journal
Publisher : LPPM Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mengidentifikasi metode peramalan yang paling tepat dan efektif untuk digunakan oleh CV. Santosa Abadi Motor Pelaihari dalam memprediksi penjualan produk motor listrik untuk periode yang akan datang. Penelitian ini merupakan penelitian deskriptif kuantitatif dengan menggunakan data sekunder, berupa data penjualan produk motor listrik dari tahun 2023 hingga Januari-Juni 2024, yang diperoleh dari bagian Administrasi CV Santosa Abadi Motor Pelaihari. Analisis dilakukan dengan membandingkan tiga metode peramalan: Trend Moment, Semi Average, dan Least Square, serta mengukur akurasi masing-masing metode menggunakan Mean Absolute Percentage Error (MAPE). Hasil analisis menunjukkan bahwa metode Trend Moment menghasilkan nilai peramalan dengan persentase error sebesar 71%, metode Semi Average menghasilkan 23%, dan metode Least Square menghasilkan 28%. Berdasarkan hasil tersebut, dapat disimpulkan bahwa metode Semi Average lebih sesuai untuk meramalkan penjualan motor listrik di CV Santosa Abadi Motor Pelaihari.
Co-Authors Marliza Noor Hayatie Rininda, Bella Puspita Widiya Astuti Alam Sur