Implementasi Metode Moving Average Sebagai Prediksi Penjualan Perlengkapan Pertanian Pada CV. Aneka Tani

Fatmi Aulia Hanum, Emy Haryatmi

Abstract


CV. Aneka Tani is a shop that sells various agricultural equipment. The problems in CV. Aneka Tani are the process of recording transactions that are still done manually with a sales book and there is no sales prediction system. It causes waste of paper, human error in transactions, and bad stock management. The purpose of this research is to predict sales of agricultural equipment, applying the Moving Average algorithm to CV. Aneka Tani’s data to generate sales prediction models, and analyze predictive models. The research method used is the CRISP-DM (Cross Industry Standard Process for Data Mining) which consists of business understanding, data understanding, data preparation, modeling, evaluation, and implementation. The process of collecting data is done by conducting interviews with business owners. There were 6 products used in Moving Average method. The stable product is Dafat with MAD value is 0,9 and MSE value is 1,2. The non stabel product is Phonska with MAD value is 13,6 and MSE value is 245,7.

Full Text:

PDF

References


[ 1 ] Nurlifa, A, dkk. “Sistem Peramalan Jumlah Penjualan Menggunakan Metode Moving Average pada Rumah Jilbab Zaky.” Jurnal Inovtek Polbeng Seri Informatika 2, no. 1, 18-25, Juni 2017.

[ 2 ] Handoko, S, dkk. “Implementasi Data Mining untuk Menentukan Tingkat Penjualan Paket Data Telkomsel menggunakan Metode K-Means Clustering” Jurnal Ilmiah Teknologi dan Rekayasa 25, no. 1, 76-88, April 2020.

[ 3 ] Rahman, F. “Aplikasi Data Mining Berbasis Web untuk Prediksi Penjualan Batik Menggunakan Metode Moving Average (Studi Kasus : Toko Een Batik)” Skripsi, Universitas Gunadarma, 2020.

[ 4 ] Silvya, Z, dkk. “Penerapan Metode Weighted Moving Average untuk Peramalan Persediaan Produk Farmasi” Jurnal Ilmiah Teknologi Harapan 8, no. 2, 59-64, September 2020.

[ 5 ] Solikin, I, dkk. “Aplikasi Forecasting Stok Barang Menggunakan Metode Weighted Moving Average (WMA) pada Metrojaya Komputer” Jurnal Informatika 4, no. 2, 100-105, Mei 2019.

[ 6 ] Wulandari. “Implementasi Sistem Peramalan Persediaan Barang Menggunakan Metode Moving Average” Jurnal Media Informatika Budidarma 4, no. 3, 707-714, Juli 2020.

[ 7 ] Kusnitawati, L. “Sistem Peramalan Penjualan pada PD Karya Mulya dengan Menggunakan Metode Moving Average.” Skripsi, Universitas Gunadarma, 2019. Gunadarma Library Deposit System.

[ 8 ] Gofur, AA, dkk. “Sistem Peramalan untuk Pengadaan Material Unit Injection di PT. XYZ.” Jurnal Ilmiah Komputer dan Informatika (KOMPUTA) 2, no. 2, 13-18, Oktober 2013.

[ 9 ] Indah, DR, dkk. “Sistem Forecasting Perencanaan Produksi dengan Metode Single Eksponensial Smoothing pada Keripik Singkong Srikandi di Kota Langsa”. Jurnal Penelitian Ekonomi Akuntansi (JENSI) 2, no. 1, 10-18, Juni 2018.

[ 10 ] Hayuningtyas, RY. “Peramalan Persediaan Barang Menggunakan Metode Weighted Moving Average dan Metode Exponential Smoothing” Jurnal PILAR Nusa Mandiri 13, no. 2, 217-222, September 2017.




DOI: http://dx.doi.org/10.30645/j-sakti.v5i2.380

Refbacks

  • There are currently no refbacks.


J-SAKTI (Jurnal Sains Komputer & Informatika)
Published Papers Indexed/Abstracted By:

Jumlah Kunjungan :

View My Stats