IMPLEMENTATION OF THE TREND MOMENT METHOD IN ESTIMATING BREAD SALES
DOI:
https://doi.org/10.34288/jri.v4i2.154Keywords:
Forecasting, Prediction, Bread Sales, Trend MomentAbstract
Abstract
The second strategy's pattern is a gauging technique for delivering an expected number of future bread supplies so there is no abundance or lack of stock in the upcoming month. Information on bread deals is utilized in this concentration consistently from January to December 2021. Every month's deals records are valuable for deciding if sales have expanded or diminished. The review's discoveries incorporate the improvement of an electronic framework that can create rough numbers in anticipating bargains for the next month, simplifying it to decide how much bread will be sold while considering the supply of products and how much will be delivered before very long. The following month with the objective that there is no need or overflow of bread stock. The consequences of deals forecasts for a very long time in 2021 produce expectations in January 2022, in the thirteenth period with MAD (Mean Absolute Deviation) aftereffects of 40.08% and MSE (Mean Squared Error) paces of 27.64%.
Downloads
References
Abdalazeim, A., & Meziane, F. (2021). A review of the generation of requirements specification in natural language using objects UML models and domain ontology. Procedia CIRP, 189(2019), 328–334. https://doi.org/10.1016/j.procs.2021.05.102
Andriano Frans, J., Orisa, M., & Adi Wibowo, S. (2020). Prediksi Penjualan Kayu Lapis Di Cv Diato Wood Sejahtera Dengan Metode Trend Moment Berbasis Web. JATI (Jurnal Mahasiswa Teknik Informatika), 4(2), 183–190. https://doi.org/10.36040/jati.v4i2.2719
Fernández-Naranjo, R. P., Vásconez-González, E., Simbaña-Rivera, K., Gómez-Barreno, L., Izquierdo-Condoy, J. S., Cevallos-Robalino, D., & Ortiz-Prado, E. (2021). Statistical data driven approach of COVID-19 in Ecuador: R0 and Rt estimation via new method. Infectious Disease Modelling, 6, 232–243. https://doi.org/10.1016/j.idm.2020.12.012
Firmansyah, M. A., Sasmito, A. P., & Zahro, H. Z. (2021). Aplikasi Forecasting Penjualan Bahan Bangunan Menggunakan Metode Trend Moment (Studi Kasus Di UD. Hasil Bumi). JATI (Jurnal Mahasiswa Teknik Informatika), 5(2), 526–533. Retrieved from https://ejournal.itn.ac.id/index.php/jati/article/view/3759
Heriansa, K., & Supratman, E. (2021). Sistem Informasi Prediksi Penjualan Pada Depot Prisma Utama Menggunakan Metode Trend Moment. Bina Darma Conference on Computer Science (BDCCS), 3(1), 89–97. Retrieved from https://conference.binadarma.ac.id/index.php/BDCCS/article/view/2091
Hidayat, D. (2021). E-Government Integrated E-Audit System : Design And Analysis in The Internal Audit Unit of The Indonesian Government (APIP). JASa (Jurnal Akuntansi, Audit Dan Sistem Informasi Akuntansi), 5(1), 37–52. https://doi.org/10.36555/jasa.v5i1.1511
Ilyas, I., Marisa, F., & Purnomo, D. (2018). Implementasi Metode Trend Moment (Peramalan) Mahasiswa Baru Universitas Widyagama Malang. JOINTECS (Journal of Information Technology and Computer Science), 3(2). https://doi.org/10.31328/jointecs.v3i2.785
Iqbal, A., & Nugroho, A. C. (2021). Penjualan Menggunakan Pendekatan Analisis Statistik Trend Moment ( Cv Laut Selatan Jaya ). 1(1), 1–11.
Konsumsi, F., Barang, B., Storage, P., Dengan, H., Autoregressive, M., & Average, M. (2021). FORECASTING KONSUMSI BARANG BARANG PADA STORAGE MOVING AVERAGE. 03.
Muhammad, R. R., & Raharja, S. (2022). The Implementation of Ramit Tech Robot Accountant To Impove the Efficiency of Bookkeeping and Financial Reporting in …. Diponegoro Journal of …, 10, 1–15.
Sohrabpour, V., Oghazi, P., Toorajipour, R., & Nazarpour, A. (2021). Export sales forecasting using artificial intelligence. Technological Forecasting and Social Change, 163(November 2020), 120480. https://doi.org/10.1016/j.techfore.2020.120480
Sudiatmo, A. (2021). Sistem Informasi Manajemen Gudang Obat Menggunakan Database Dan Form Oracle Di Pt. Leuwitex. Naratif Jurnal Nasional Riset Aplikasi Dan Teknik Informatika, 3(01), 64–70. https://doi.org/10.53580/naratif.v3i01.122
Sutriadi. (2021). Perancangan Aplikasi Prediksi Produksi Roti Menggunakan Metode Trend Moment. Journal of Information System Research, 2(2), 187–192.
Tahmasebi, N., Borin, L., Jatowt, A., Xu, Y., & Hengchen, S. (2021). Computational approaches to semantic change. Norderstedt: BoD – Books on Demand.
Yulian, I., Anggraeni, D. S., & Aini, Q. (2020). Penerapan Metode Trend Moment Dalam Forecasting Penjualan Produk CV. Rabbani Asyisa. JURTEKSI (Jurnal Teknologi Dan Sistem Informasi), 6(2), 193–200.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Wahyuni Sirgar, Arridah Zikra Syah, Indra Ramadona Harahap

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Jurnal Riset Informatika has legal rules for accessing digital electronic articles uunder a Creative Commons Attribution-NonCommercial 4.0 International License . Articles published in Jurnal Riset Informatika, provide Open Access, for the purpose of scientific development, research, and libraries.