SISTEM PREDIKSI KEBUTUHAN STOK BAHAN POKOK MENGGUNAKAN METODE TREND MOMENT
Abstract
This study aims to develop a system for predicting the need for basic food stock at Mie Sop Kak Ros Restaurant using the Trend Moment method. This method was chosen because of its ability to predict stock needs based on historical sales data. The data used are monthly sales reports from January 2023 to June 2024. Through linear regression calculations, this method produces predictions that can help restaurants manage stock more efficiently, avoiding shortages or excess inventory. The calculation results show that the sales prediction for July 2024 is 650 portions, which is consistent with the previous sales increase trend. The implementation of a web-based system makes it easier to manage sales data, calculate predictions, and recommend basic food stocks. This study shows that the Trend Moment method is effective in improving the accuracy of stock forecasting and can be applied for more reliable short-term forecasting, especially if supported by regular data updates.
References
[2] A. A. F. D. Izz, M. Sholihin, and M. Masruroh, “Trend Moment Method for predicting Multimedia Equipment Rental Needs,” Inf. J. Ilm. Bid. Teknol. Inf. dan Komun., vol. 5, no. 1, pp. 20–24, 2020, doi: 10.25139/inform.v5i1.2203.
[3] D. Saputra Mokoagow, F. Mokoagow, S. Pontoh, M. Ikhsan, J. Pondang, and V. Paramarta, “Sistem Informasi Manajemen Rumah Sakit dalam Meningkatkan Efisiensi: Mini Literature Review,” COMSERVA J. Penelit. dan Pengabdi. Masy., vol. 3, no. 10, pp. 4135–4144, 2024, doi: 10.59141/comserva.v3i10.1223.
[4] D. Mahdiana, “No TitleRini Asmara, S.Kom, M.Kom,” Konsep Sist. Inf., vol. 3, pp. 1–14, 2011.
[5] T. Fakhta, T. Nasution, A. R. Lubis, S. Informasi, U. H. Medan, and U. Mikro, “Analisis Metode Trend Moment Sebagai Peramalan ( Forecast ) Penjualan UMKM Dimsum,” no. April 2021, pp. 117–126, 2023.
[6] R. N. Halim, Y. Kurniawan, and A. H. Mirza, “Penerapan Metode Trend Moment Pada Aplikasi Penjualan Obat Apotek Dinar Mas,” Teknomatika, vol. 13, no. 01, pp. 42–50, 2023.
[7] D. N. Fitriani and P. A. Rakhma Devi, “Implementasi Metode Trend Moment pada Jumlah Produksi Baju Distro Jatirogo,” Nuansa Inform., vol. 16, no. 1, pp. 134–140, 2022, doi: 10.25134/nuansa.v16i1.5329.
[8] R. Prayoga, A. Anita, J. Silaban, and S. P. Tamba, “Analisis Metode Trend Moment Dalam Forecasting Untuk Memprediksi Jumlah Penjualan Pada Restoran Ayam Geprek Gokil,” … (Teknik Inf. dan …, vol. 6, pp. 127–134, 2023, doi: 10.37600/tekinkom.v6i1.892.
[9] R. W. Pramesti and R. R. Izzati, “Penerapan Metode Peramalan (Forecast) Penjualan pada Dzikrayaat Business Center Ponorogo,” JAPP J. Akuntansi, Perpajakan, dan Portofolio, vol. Vol. 02, N, no. 01, pp. 29–45, 2022, [Online]. Available: http://journal.umpo.ac.id/index.php/JAPP
[10] F. Patompo and I. A. Salihi, “Prediksi Penjualan Tempered Glass Handphone Xiaomi Menggunakan Metode Least Square,” J. Ilm. Ilmu Komput. Banthayo Lo Komput., vol. 1, no. 2, pp. 92–100, 2022, doi: 10.37195/balok.v1i2.111.
[11] A. Amrullah, E. Affandi, W. Riansyah, and S. Sobirin, “Peramalan Penjualan Bulanan menggunakan metode Trend Moment pada Toko Suamzu Boutique,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 19, no. 2, p. 46, 2020, doi: 10.53513/jis.v19i2.2423.
[12] A. N. Safitri and F. A. Sianturi, “Analisa Metode Trend Moment Untuk Peramalan Penjualan Stok Barang Pada Toko Sun Oleh-Oleh,” J. Ilmu Komput. dan Sist. Inf., vol. 3, no. 1.1, pp. 91–102, 2021.
[13] V. M. M. Siregar and M. A. Hanafiah, “Perancangan Aplikasi Augmented Reality Untuk Edukasi Penerapan Konsep Green Economy Dalam Pengembangan Desa Wisata Sebagai Upaya Mewujudkan Pembangunan Berwawasan Lingkungan,” J. TEKINKOM, vol. 6, no. 2, pp. 339–348, 2023, doi: 10.37600/tekinkom.v6i2.950.
[14] V. M. M. Siregar, K. Sinaga, E. Sirait, A. S. Manalu, and M. Yunus, “Classification of Customer Satisfaction Through Machine Learning : An Artificial Neural Network Approach,” IOTA, vol. 3, no. 3, pp. 273–282, 2023, doi: 10.31763/iota.v3i3.643.
[15] P. D. P. Adi et al., “A Performance Evaluation of ZigBee Mesh Communication on the Internet of Things (IoT),” 3rd 2021 East Indones. Conf. Comput. Inf. Technol. EIConCIT 2021, pp. 7–13, 2021, doi: 10.1109/EIConCIT50028.2021.9431875.
[16] V. M. Mulia Siregar and H. Sugara, “Implementation of artificial neural network to assesment the lecturer‘s performance,” IOP Conf. Ser. Mater. Sci. Eng., vol. 420, no. 1, p. 012112, Oct. 2018, doi: 10.1088/1757-899X/420/1/012112.
[17] H. A. Simbolon and V. M. M. Siregar, “Perancangan Sistem Informasi Berbasis E-Commerce Untuk Peningkatan Penjualan Produk Jersey Olah Raga,” J. Tek. Inf. dan Komput., vol. 1, no. 2, pp. 49–54, 2018.
[18] V. M. M. Siregar, E. Damanik, M. R. Tampubolon, E. I. Malau, E. P. S. Parapat, and D. S. Hutagalung, “Sistem Informasi Administrasi Pinjaman (Kredit) Pada Credo Union Modifikasi (CUM) Berbasis Web,” J. Tekinkom, vol. 3, no. 2, pp. 62–69, 2020, doi: 10.37600/tekinkom.v3i2.193.
[19] V. M. M. Siregar, H. Sugara, and G. A. Purba, “Aplikasi Pencatatan Laporan Penjualan Kita-Kita.Net Berbasis Web,” TEKINKOM, vol. 2, no. 1, pp. 80–86, 2019, doi: 10.37600/tekinkom.v2i1.81.
[20] A. T. Purba and V. M. M. Siregar, “Sistem Penyeleksi Mahasiswa Baru Berbasis Web Menggunakan Metode Weighted Product,” TEKINKOM, vol. 3, no. 1, pp. 1–8, 2020, doi: 10.37600/tekinkom.v3i1.117.
[21] E. Damanik and I. M. Siregar, “PENGEMBANGAN SISTEM CUSTOMER RELATIONSHIP MANAGEMENT BERBASIS WEB PADA PT. TERUS MEGA TARA JAKARTA,” J. Tek. Inf. dan Komput., vol. 4, no. 1, pp. 60–69, 2021, doi: 10.37600/tekinkom.v4i1.278.
[22] V. M. M. Siregar, “Perancangan Website Sebagai Media Promosi Dan Penjualan Produk,” TAM (Technology Accept. Model., vol. 9, no. 1, pp. 15–21, 2018.