Analisis Peramalan Jumlah Penjualan Susu pada PT. Superindo Utama Jaya Menggunakan Metode Weighted Moving Average
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Jan 20, 2025
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This study aims to implement the Weighted Moving Average method for forecasting milk sales at PT. Superindo Utama Jaya. Data were collected through field observations, covering sales from January to December 2023. The research applies time series analysis and the Weighted Moving Average method to forecast sales from July 2023 to July 2024, with the following results: 4,822.95; 4,871.57; 4,973.04; 5,151.90; 5,385.71; 5,420.04; 5,020.85; 5,203.76; 5,181.46; 5,151.71; 5,127.70; 5,128.26; 5,142.26. The Mean Absolute Error (MAE) and Mean Squared Error (MSE) were calculated, resulting in an MAE of 0.021% and an MSE of 209,932.99.
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Septianingrum, N., & Saprudin, U. (2025). Analisis Peramalan Jumlah Penjualan Susu pada PT. Superindo Utama Jaya Menggunakan Metode Weighted Moving Average. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 6(1), 785-794. https://doi.org/10.35870/jimik.v6i1.1282
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References
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Candra, R. C. N., Eniyati, S., & Sugiyamta, S. (2023). Perbandingan Estimasi Jumlah Mahasiswa Baru Dengan Metode Weight Moving Average dan Least Square. INTECOMS: Journal of Information Technology and Computer Science, 6(2), 942-947. https://doi.org/10.31539/intecoms.v6i2.8059.
Fahreza, A. (2022, September). Penerapan Data Mining dengan Metode Single Moving Average dalam Pengolahan Data Penerimaan Siswa Baru. In Seminar Nasional Ilmu Komputer (SNASIKOM) (Vol. 2, No. 1, pp. 25-34). http://dx.doi.org/10.25157/jimag.v7i3.3978.
Fikri, M. (2021). ANALISIS PREDIKSI HARGA JUAL SEPATU DENGAN METODE SINGLE MOVING AVERAGE, WEIGHTED MOVING AVERAGE DAN SINGLE EXPONENTIAL SMOOTHING (Studi Kasus: DATA KAGGLE) (Doctoral dissertation, Universitas Islam Lamongan).
Hajjah, A., & Marlim, Y. N. (2021). Analisis error terhadap peramalan data penjualan. Techno. Com, 20(1), 1-9.
Hamirsa, M. H. (2022). Usulan Perencanaan Peramalan (Forecasting) dan Safety Stock Persediaan Spare Part Busi Champion Type RA7YC-2 (EV01/EW-01/2) Menggunakan Metode Time Series pada PT Triangle Motorindo Semarang. Industrial Engineering Online Journal, 11(1).
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Merici, A., & Saprudin, U. (2024). Peramalan Persediaan Barang Menggunakan Metode Weighted Moving Average di CV. Multipaper Stationery. Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 5(2), 1685-1694. https://doi.org/10.35870/jimik.v5i2.742.
Naninsih, N., & Hardiyono, H. (2019). Pengaruh Strategi Pemasaran Terhadap Kepuasan Dan Keputusan Pembelian Produk Usaha Kecil Menengah (Ukm) 310 Di Makassar. Jurnal Aplikasi Manajemen & Kewirausahaan MASSARO, 1(1). https://doi.org/10.37476/massaro.v1i1.644.
Nisak, K. (2020). Analisis peramalan produksi pakaian pada usaha fadli tailor di desa buddagan pamekasan (Doctoral dissertation, INSTITUT AGAMA ISLAM NEGERI MADURA).
Nugraha, T., Furqon, M. T., & Adikara, P. P. (2017). Peramalan Permintaan Daging Sapi Nasional Menggunakan Metode Multifactors High Order Fuzzy Time Series Model. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 1(12), 1764-1770.
Nurdina, A., Aryani, D., Venita, E., & Astiti, S. (2022). Analisis Peramalan Permintaan Golang-Galing dalam Memaksimalkan Manajemen Rantai Pasok Menggunakan Metode Weighted Moving Average. JURIKOM (Jurnal Riset Komputer), 9(4), 1167-1173.
Sumardin, A., & Mashud, M. (2018). Penerapan Metode Time Series Dalam Memprediksi Hasil Produksi Pertanian Berdasarkan Nilai Trend. Inspiration: Jurnal Teknologi Informasi dan Komunikasi, 8(1), 25-30.
Candra, R. C. N., Eniyati, S., & Sugiyamta, S. (2023). Perbandingan Estimasi Jumlah Mahasiswa Baru Dengan Metode Weight Moving Average dan Least Square. INTECOMS: Journal of Information Technology and Computer Science, 6(2), 942-947. https://doi.org/10.31539/intecoms.v6i2.8059.
Fahreza, A. (2022, September). Penerapan Data Mining dengan Metode Single Moving Average dalam Pengolahan Data Penerimaan Siswa Baru. In Seminar Nasional Ilmu Komputer (SNASIKOM) (Vol. 2, No. 1, pp. 25-34). http://dx.doi.org/10.25157/jimag.v7i3.3978.
Fikri, M. (2021). ANALISIS PREDIKSI HARGA JUAL SEPATU DENGAN METODE SINGLE MOVING AVERAGE, WEIGHTED MOVING AVERAGE DAN SINGLE EXPONENTIAL SMOOTHING (Studi Kasus: DATA KAGGLE) (Doctoral dissertation, Universitas Islam Lamongan).
Hajjah, A., & Marlim, Y. N. (2021). Analisis error terhadap peramalan data penjualan. Techno. Com, 20(1), 1-9.
Hamirsa, M. H. (2022). Usulan Perencanaan Peramalan (Forecasting) dan Safety Stock Persediaan Spare Part Busi Champion Type RA7YC-2 (EV01/EW-01/2) Menggunakan Metode Time Series pada PT Triangle Motorindo Semarang. Industrial Engineering Online Journal, 11(1).
Indriastiningsih, E., & Devi, A. O. T. (2016). Analisis Forecasting (Peramalan) Produk Keripik Pisang Kemasan Bungkus (Studi Kasus: Home Industry-Keripik Pisang Surakarta). Jurnal Gaung Informatika, 9(3).
Merici, A., & Saprudin, U. (2024). Peramalan Persediaan Barang Menggunakan Metode Weighted Moving Average di CV. Multipaper Stationery. Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 5(2), 1685-1694. https://doi.org/10.35870/jimik.v5i2.742.
Naninsih, N., & Hardiyono, H. (2019). Pengaruh Strategi Pemasaran Terhadap Kepuasan Dan Keputusan Pembelian Produk Usaha Kecil Menengah (Ukm) 310 Di Makassar. Jurnal Aplikasi Manajemen & Kewirausahaan MASSARO, 1(1). https://doi.org/10.37476/massaro.v1i1.644.
Nisak, K. (2020). Analisis peramalan produksi pakaian pada usaha fadli tailor di desa buddagan pamekasan (Doctoral dissertation, INSTITUT AGAMA ISLAM NEGERI MADURA).
Nugraha, T., Furqon, M. T., & Adikara, P. P. (2017). Peramalan Permintaan Daging Sapi Nasional Menggunakan Metode Multifactors High Order Fuzzy Time Series Model. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 1(12), 1764-1770.
Nurdina, A., Aryani, D., Venita, E., & Astiti, S. (2022). Analisis Peramalan Permintaan Golang-Galing dalam Memaksimalkan Manajemen Rantai Pasok Menggunakan Metode Weighted Moving Average. JURIKOM (Jurnal Riset Komputer), 9(4), 1167-1173.
Sumardin, A., & Mashud, M. (2018). Penerapan Metode Time Series Dalam Memprediksi Hasil Produksi Pertanian Berdasarkan Nilai Trend. Inspiration: Jurnal Teknologi Informasi dan Komunikasi, 8(1), 25-30.