PENERAPAN METODE LEAST SQUARE UNTUK PREDIKSI PENJUALAN BRIGHT GAS 5,5 KG
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This company sells 5.5 kg of Bright gas which will be distributed to the base every month, experiencing ups and downs. In addition, it also resulted in the inappropriate procurement of 5.5 kg Bright gas. Every month it is not adjusted to monthly sales estimates because it has not used a prediction system. Therefore, there is a sales prediction system of 5.5 kg of bright gas every month, the amount of bright gas is 5.5 kg which will be distributed to the base. The purpose of this research is to find out good accuracy in the Least Square method for the selling process of 5.5 kg bright gas at PT. Togo Jaya Gorontalo. Results achieved With the bright gas prediction system, predictions can be made for the next period and measurement results using MAPE of 0.20%.
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Author Biographies
Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Ichsan Gorontalo, Kota Gorontalo, Provinsi Gorontalo, Indonesia
Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Ichsan Gorontalo, Kota Gorontalo, Provinsi Gorontalo, Indonesia
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References
Total: 5 References- J. I. Sosial, A. Jectendra, P. S. Manajemen, U. P. Tasikmalaya, and A. Info, “PENGARUH HARGA DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN PADA GAS ELPIJI 5 , 5 KG ( NON SUBSIDI ) ( Survei pada Pelanggan di CV . Jectendra Jaya di Desa Sukaraja Kab . Tasikmalaya ),” vol. 1, no. 4, pp. 445–448, 2022.
- S. Mechanics, “ANALISIS PERAMALAN PENJUALAN PRODUK KECAP PADA PERUSAHAAN KECAP MANALAGI DENPASAR BALI Ni,” vol. 1, no. 2004, pp. 2234–2239, 2007, doi: 10.16285/j.rsm.2007.10.006.
- M. Rahmawita and I. Fazri, “Aplikasi Peramalan Penjualan Obat Menggunakan Metode Least Squaredi Rumah Sakit Bhayangkara,” J. Ilm. Rekayasa dan Manaj. Sist. Inf., vol. 4, no. 2, p. 201, 2018, doi: 10.24014/rmsi.v4i2.5685.
- R. R. Adhiningtyas and S. Natarsyah, “Penerapan Metode Least Square Untuk Prediksi Hasil Sadap Karet,” Progresif, vol. 13, no. 1, pp. 1569–1576, 2017.
- G. Bin Senitio, J. Santony, and J. Na’am, “Tingkat Prediksi Pendaftar Ujian Kompetensi Laboratorium Menggunakan Metode Least Square,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 2, no. 3, pp. 746–752, 2018, doi: 10.29207/resti.v2i3.530.
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