Comparative Analysis of SES and SMA Methods for Prediction of Raw Materials for Tempe House Products Yusnita

Siska Yuliana, Rizky Fauziah, Andrew Ramadhani

Abstract


Forecasting is an estimate of future events on the basis of past time patterns and the use of policies for projections with past patterns. With forecasting, the company can make the right policy or decision for the raw materials to be produced. Therefore, forecasting is very important for Rumah Tempe Yusnita so that the amount of raw material inventory is not excessive or insufficient in production, the more inventory results in spoilage that occurs and can also affect losses to Rumah Tempe Yusnita. The Single Exponential Smoothing and Single Moving Average methods with the comparison of these methods will obtain both methods that can provide greater flexibility, using the SES method to respond to rapid changes and SMA to compensate or flatten larger fluctuations. Prediction analysis of raw materials using the SES and SMA methods at Rumah Tempe Yusnita can help owners predict raw materials that produce information quickly, precisely and accurately.

Full Text:

PDF

References


S. S. Putri, “Digital Marketing Sebagai Optimalisasi Strategi Pemasaran Wirausaha Muda ‘ Clothing PRJBus ’ Dalam Meningkatkan Omset Bisnis UMKM,” J. Lugas, vol. 6, no. 2, pp. 65–72, 2022.

S. Saudah, D. Sapto Adi, M. A. Triono, and F. Supanto, “Optimalisasi Usaha Kecil Menengah melalui Pelatihan Digital Marketing,” Abdimas J. Pengabdi. Masy. Univ. Merdeka Malang, vol. 6, no. 3, pp. 358–371, 2021, doi: 10.26905/abdimas.v6i3.5366.

R. Febrianto, R. Sovia, and D. Kartika, “Analisis Tingkat Kepuasan Pelanggan,” J. Mandiri Ilmu Pengetahuan, Seni, dan Teknol., vol. 7, no. 2, pp. 201–219, 2017.

Putri Wahyuni Arnold, Pinondang Nainggolan, and Darwin Damanik, “Analisis Kelayakan Usaha dan Strategi Pengembangan Industri Kecil Tempe di Kelurahan Setia Negara Kecamatan Siantar Sitalasari,” J. Ekuilnomi, vol. 2, no. 1, pp. 29–39, 2020, doi: 10.36985/ekuilnomi.v2i1.104.

N. Azwanti, “Sistem Informasi Penjualan Tas Berbasis web Dengan Pemodelan UML,” vol. v, no. 6, pp. 2827–2839, 2017.

M. Fitriana, D. Sudarwadi, and N. Nurlaela, “Penerapan Metode Single Moving Average Dan Exsponential Smoothing Pada Usaha Asrie Modesta,” Cakrawala Manag. Bus. J., vol. 3, no. 1, p. 547, 2020, doi: 10.30862/cm-bj.v3i1.58.

N. Hudaningsih, S. Firda Utami, and W. A. Abdul Jabbar, “Perbandingan Peramalan Penjualan Produk Aknil Pt.Sunthi Sepuri Mengguanakan Metode Single Moving Average Dan Single Exponential Smooting,” J. Inform. Teknol. dan Sains, vol. 2, no. 1, pp. 15–22, 2020, doi: 10.51401/jinteks.v2i1.554.

D. Susilawati, N. Setiawan, I. Yulianti, and D. Prayudi, “Penerapan Metode Single Moving Average untuk Prediksi Penjualan Pada Aby Manyu Cell,” Swabumi, vol. 6, no. 1, pp. 78–84, 2018, doi: 10.31294/swabumi.v6i1.3319.

N. Indah Kusuma Wardhani, I. Hartami S, and W. Dwi Puspitasari, “Sistem Forecasting Penjualan Beras Dengan Menerapkan Metode Trend Moment,” JATI (Jurnal Mhs. Tek. Inform., vol. 6, no. 2, pp. 901–907, 2022, doi: 10.36040/jati.v6i2.5780.

R. Risqiati, “Penerapan Metode Single Exponential Smoothing dalam Peramalan Penjualan Benang,” Smart Comp Jurnalnya Orang Pint. Komput., vol. 10, no. 3, pp. 154–159, 2021, doi: 10.30591/smartcomp.v10i3.2887.

R. Simanjuntak and P. Wicaksono, “Forecasting Bahan Baku Raw Sugar Dengan Metode Time Series & Usulan Perencanaan Safety Stock Pt Medan Sugar Industry,” Ind. Eng. Online J., vol. 11, no. 4, pp. 343–354, 2022.

L. M. Tanjung and A. Fahmi, “Perhitungan Peramalan Pengadaan Obat Menggunakan Metode Single Exponential Smoothing Dan Single Moving Average Pada Unit Farmamin Dinas Kesehatan Provinsi Jawa Tengah,” Joins, vol. 02, no. 02, pp. 234–243, 2017.

M. Ngantung, A. H. Jan, A. Peramalan, P. Obat, M. Ngantung, and A. H. Jan, “Analisis Peramalan Permintaan Obat Antibiotik Pada Apotik Edelweis Tatelu,” J. EMBA J. Ris. Ekon. Manajemen, Bisnis dan Akunt., vol. 7, no. 4, pp. 4859–4867, 2019, doi: 10.35794/emba.v7i4.25439.

N. Nurhidayanti, N. Mulyani, and Y. Apridonal M, “Penerapan Metode SMA (Single Moving Average) Dalam Penggunaan Bahan Baku Kue Dan Roti Pada Momy’s Cake And Bread,” J-Com (Journal Comput., vol. 1, no. 3, pp. 185–190, 2021.

N. Chaerunnisa and A. Momon, “Perbandingan Metode Single Exponential Smoothing Dan Moving Average Pada Peramalan Penjualan Produk Minyak Goreng Di Pt Tunas Baru Lampung,” J. Rekayasa Sist. Ind., vol. 6, no. 2, pp. 101–106, 2021, doi: 10.33884/jrsi.v6i2.3694.

A. Vebrianti and M. Nasir, “Peramalan Kebutuhan Obat Menggunakan Metode Single Exponential Smoothing,” vol. 5, no. 1, pp. 281–292, 2023, doi: 10.47065/josh.v5i1.4381.

Y. Saputra, R. Wahid, S. Insani, and Y. Brianorman, “Aplikasi Peramalan Persediaan Obat Menggunakan Metode Single Exponential Smoothing Pada Apotek Sejahtera,” Digit. Intell., vol. 4, no. 1, pp. 44–54, 2023.

N. Nurhidayanti, N. Mulyani, and Y. Apridonal, “Penerapan Metode SMA (Single Moving Average) dalam Penggunaan Bahan Baku Kue dan Roti pada Momy’s Cake And Bread,” J-Com (Journal Comput., vol. 1, no. 3, pp. 185–190, 2021, doi: 10.33330/j-com.v1i3.1375.

M. RIZKY, R. A. DALIMUNTHE, and S. Sudarmin, “Peramalan Akseptor Kb Baru Pada Kota Tanjungbalai Dengan Teknik Single Exponential Smoothing (Ses),” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 9, no. 4, pp. 3640–3650, 2022, doi: 10.35957/jatisi.v9i4.2888.

F. R. Gumilar, Y. Y. Syahidin, and D. Sonia, “Perancangan Sistem Informasi Kunjungan Pasien Bpjs Rawat Jalan Dengan V-Model,” Explor. Sist. Inf. dan Telemat., vol. 12, no. 2, p. 204, 2021, doi: 10.36448/jsit.v12i2.2045.




DOI: https://doi.org/10.32520/stmsi.v13i2.4021

Article Metrics

Abstract view : 275 times
PDF - 52 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.