Peramalan Persediaan Barang Menggunakan Metode Weighted Moving Average di CV. Multipaper Stationery
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May 10, 2024
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This research aims to implement the Weighted Moving Average method for forecasting inventory and getting prediction results on CV. Multipaper Stationery with the smallest possible error rate. In this method, researchers collect data from processes in the field to obtain the data needed in this research. The data taken is sales data for 2022-2023. Data analysis uses the Weighted Moving Average method. The results of the research show that from the six items used as research samples, the Weighted Moving Average value for the next 1 year is obtained, namely Sidu notebook 38 is 106764 pack, Sidu notebook 58 is 83877 pack, Techno Standard Pen is 40190 dozen, HVS Sinar Dunia A4 is 74589 rim, world rays F4 is 64137 rim and for Faber Castle pencil it is 40152 dozen.
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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
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References
Ardiana, D. P. Y., & Loekito, L. H. (2018). Sistem Informasi Peramalan Persediaan Barang Menggunakan Metode Weighted Moving Average. Jurnal Teknologi Informasi dan Komputer, 4(1). DOI: https://doi.org/10.36002/jutik.v4i1.397.
Ekasari, L., Sapri, S., & Alinse, R. T. (2021). Application of Weight Moving Average Method in Forecasting Drug Inventory Application at Dermayu Health Center. Jurnal Komputer, Informasi dan Teknologi (JKOMITEK), 1(2), 330-335. DOI: https://doi.org/10.53697/jkomitek.v1i2.291.
Faradisa, S., & Rizal, Y. (2024). Penerapan Metode Simple Moving Average Dan Single Exponential Smoothing Dalam Peramalan Permintaan Obat Paracetamol Pada Rsud Dr. Achmad Mochtar. Jurnal Pendidikan Tambusai, 8(1), 7462-7471. DOI: https://doi.org/10.31004/jptam.v8i1.13526.
Fitri, A., Yesputra, R., & Nasution, A. (2022). Pendekatan Metode Weighted Moving Average Untuk Meramal Jumlah Penjualan Keripik. Indonesian Journal of Computer Science, 11(2). DOI: https://doi.org/10.33022/ijcs.v11i2.3086.
Murdana, I. R. Y., & Sutomo, B. (2023). Perkiraan Kebutuhan Alat Tulis Kantor (ATK) dengan Fuzzy Logic Mamdani pada Dinas Kominfotik Lampung Tengah. Jurnal Teknologi Informatika dan Komputer, 9(1), 137-147.
Pardosi, A. R., & Iriani, I. (2024). Analisis Perencanaan Peramalan Dan Safety Stock Sprite 250ML Dengan Metode Time Series Di PT. XYZ. Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika, 2(2), 10-21. DOI: https://doi.org/10.61132/jupiter.v2i2.84.
Rahmadhani, S. N., Logiandani, L., Ramadhan, R. Z., Amriza, R. N. S., & Fathoni, M. Y. (2022). Analisis Forecasting Penjualan Gula Merah di Jatilawang Menggunakan Metode Weighted Moving Average. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 11(3), 381-386. DOI: https://doi.org/10.32736/sisfokom.v11i3.1433.
Rakhman, A., Sabanise, A. Y. F., & Tegal, P. H. B. (2019). Sistem Informasi Stok Kebutuhan Darah Pada Palang Merah Indonesia Dengan Metode Weighted Moving Average. Syntax Literate; Jurnal Ilmiah Indonesia, 4(7), 24-32.
Rizaldi, R., Rahmawati, D., & Dermawan, A. (2023). Penerapan Metode Weighted Moving Average Pada Proses Peramalan Penjualan Kue Kering Difa. Jurnal Ilmiah Multidisiplin Nusantara (JIMNU), 1(2), 96-102. DOI: https://doi.org/10.59435/jimnu.v1i2.127.
Rizqi, M., Cahya, A., & El Maida, N. (2021). Implementasi Metode Weighted Moving Average Untuk Sistem Peramalan Penjualan Markas Coffee. INFORMAL: Informatics Journal, 6(3), 154-159. DOI: https://doi.org/10.19184/isj.v6i3.28467.
Saprudin, U., & Setiawan, W. A. (2023). Analisis Peningkatan Penjualan dengan Media Iklan yang Dibuat Menggunakan Aplikasi Canva di LKP Loka Bina Bangsa. Jurnal Teknologi Informatika dan Komputer, 9(2), 618-629. DOI: https://doi.org/10.37012/jtik.v9i2.1658.
Solikin, I., Hardini, S., Saputra, D., & Rajagukguk, R. E. (2023). APLIKASI PEMILIHAN PERAMALAN METODE SINGLE MOVING AVERAGE ATAU METODE WEIGHTED MOVING AVERAGE BERDASARKAN ERROR. Jurnal Ilmiah Betrik, 14(02 AGUSTUS), 265-272. DOI: https://doi.org/10.36050/betrik.v14i02%20AGUSTUS.55.
Wardah, S., & Iskandar, I. (2017). Analisis peramalan penjualan produk keripik pisang kemasan bungkus (Studi kasus: Home Industry Arwana Food Tembilahan). J@ ti undip: jurnal teknik industri, 11(3), 135-142.
Yulihartika, R. D., & Yumiati, Y. (2023). Words Forecasting Komoditi Cabai Merah (Dcseum cruetantum) dengan Metode Wma (Weighted Moving Average) Di Kota Bengkulu. WORLD MANAGEMENT, 1(02), 114-123.
Ekasari, L., Sapri, S., & Alinse, R. T. (2021). Application of Weight Moving Average Method in Forecasting Drug Inventory Application at Dermayu Health Center. Jurnal Komputer, Informasi dan Teknologi (JKOMITEK), 1(2), 330-335. DOI: https://doi.org/10.53697/jkomitek.v1i2.291.
Faradisa, S., & Rizal, Y. (2024). Penerapan Metode Simple Moving Average Dan Single Exponential Smoothing Dalam Peramalan Permintaan Obat Paracetamol Pada Rsud Dr. Achmad Mochtar. Jurnal Pendidikan Tambusai, 8(1), 7462-7471. DOI: https://doi.org/10.31004/jptam.v8i1.13526.
Fitri, A., Yesputra, R., & Nasution, A. (2022). Pendekatan Metode Weighted Moving Average Untuk Meramal Jumlah Penjualan Keripik. Indonesian Journal of Computer Science, 11(2). DOI: https://doi.org/10.33022/ijcs.v11i2.3086.
Murdana, I. R. Y., & Sutomo, B. (2023). Perkiraan Kebutuhan Alat Tulis Kantor (ATK) dengan Fuzzy Logic Mamdani pada Dinas Kominfotik Lampung Tengah. Jurnal Teknologi Informatika dan Komputer, 9(1), 137-147.
Pardosi, A. R., & Iriani, I. (2024). Analisis Perencanaan Peramalan Dan Safety Stock Sprite 250ML Dengan Metode Time Series Di PT. XYZ. Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika, 2(2), 10-21. DOI: https://doi.org/10.61132/jupiter.v2i2.84.
Rahmadhani, S. N., Logiandani, L., Ramadhan, R. Z., Amriza, R. N. S., & Fathoni, M. Y. (2022). Analisis Forecasting Penjualan Gula Merah di Jatilawang Menggunakan Metode Weighted Moving Average. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 11(3), 381-386. DOI: https://doi.org/10.32736/sisfokom.v11i3.1433.
Rakhman, A., Sabanise, A. Y. F., & Tegal, P. H. B. (2019). Sistem Informasi Stok Kebutuhan Darah Pada Palang Merah Indonesia Dengan Metode Weighted Moving Average. Syntax Literate; Jurnal Ilmiah Indonesia, 4(7), 24-32.
Rizaldi, R., Rahmawati, D., & Dermawan, A. (2023). Penerapan Metode Weighted Moving Average Pada Proses Peramalan Penjualan Kue Kering Difa. Jurnal Ilmiah Multidisiplin Nusantara (JIMNU), 1(2), 96-102. DOI: https://doi.org/10.59435/jimnu.v1i2.127.
Rizqi, M., Cahya, A., & El Maida, N. (2021). Implementasi Metode Weighted Moving Average Untuk Sistem Peramalan Penjualan Markas Coffee. INFORMAL: Informatics Journal, 6(3), 154-159. DOI: https://doi.org/10.19184/isj.v6i3.28467.
Saprudin, U., & Setiawan, W. A. (2023). Analisis Peningkatan Penjualan dengan Media Iklan yang Dibuat Menggunakan Aplikasi Canva di LKP Loka Bina Bangsa. Jurnal Teknologi Informatika dan Komputer, 9(2), 618-629. DOI: https://doi.org/10.37012/jtik.v9i2.1658.
Solikin, I., Hardini, S., Saputra, D., & Rajagukguk, R. E. (2023). APLIKASI PEMILIHAN PERAMALAN METODE SINGLE MOVING AVERAGE ATAU METODE WEIGHTED MOVING AVERAGE BERDASARKAN ERROR. Jurnal Ilmiah Betrik, 14(02 AGUSTUS), 265-272. DOI: https://doi.org/10.36050/betrik.v14i02%20AGUSTUS.55.
Wardah, S., & Iskandar, I. (2017). Analisis peramalan penjualan produk keripik pisang kemasan bungkus (Studi kasus: Home Industry Arwana Food Tembilahan). J@ ti undip: jurnal teknik industri, 11(3), 135-142.
Yulihartika, R. D., & Yumiati, Y. (2023). Words Forecasting Komoditi Cabai Merah (Dcseum cruetantum) dengan Metode Wma (Weighted Moving Average) Di Kota Bengkulu. WORLD MANAGEMENT, 1(02), 114-123.