Analisis Peramalan Permintaan Consumable Material Pada Divisi Rekayasa Umum PT XYZ dengan Metode Time Series Menggunakan Software POM-QM
Keywords:
Peramalan, Permintaan, Material habis pakai, Deret waktu, Simple Moving Average, Weighted Moving Average, POM-QM.Abstract
Forecasting is an analytical method that involves calculations with both qualitative and quantitative approaches, which aim to estimate future events. Every company, including PT XYZ, needs an inventory control system to achieve optimal inventory levels. The problem that exists in the scope of supplying consumable materials in the General Engineering Division of PT XYZ is that every month there is often a shortage of consumable materials, especially in the 3 most frequently used consumable materials, namely UK 4'' x 6 Grinding Stones, DIA Roll Brushes. 1” X 4 ”L, and Wire Rod DIA. 1.2 MM. This research applies the Time Series Simple Moving Average and Weighted Moving Average methods as an approach to analyze historical data and forecast future material demand. To support this analysis, POM-QM software is used which has the ability to process and process time series data effectively. After the calculation is carried out, the results of UK 4 'x 6 Grinding Stone forecasting using the Weighted Moving Average method produce a 13th period forecast of 156 pcs. Forecasting Brush Roll DIA. 1 “X 4 ”L using the Weighted Moving Average method resulted in a 13th period forecast of 29 pcs. While forecasting Wire Rod DIA. 1.2 MM using the Simple Moving Average method resulted in a 13th period forecast of 630 kg.
References
[1] E. I. Prasetyo and I. Usman, “Optimalisasi Jumlah dan Lokasi Gudang Distribusi Pupuk Bersubsidi di Jawa Timur Akibat Perubahan Regulasi Pemerintah,” J. MANOVA, vol. VI, no. 1, pp. 105–121, 2023.
[2] T. Y. Tulsi, A. Erianda, and R. Afyenni, “Implementasi Metode Least Square untuk Peramalan Persediaan Barang Pada Sistem Inventori CV. Tre Jaya Perkasa,” JITSI J. Ilm. Teknol. Sist. Inf., vol. 3, no. 4, pp. 137–142, 2022, doi: 10.30630/jitsi.3.4.100.
[3] I. Setiawan, “Rancang Bangun Aplikasi Peramalan Persediaan Stok Barang Menggunakan Metode Weighted Moving Average (Wma) Pada Toko Barang Xyz,” J. Tek. Inform. Vol. 13, No. 3, Agustus 2021, vol. 13, no. 3, pp. 1–9, 2021.
[4] V. Nurcahyawati, Riyondha Aprilian Brahmantyo, and Januar Wibowo, “Manajemen Persediaan Menggunakan Metode Safety Stock dan Reorder Point,” J. Sains dan Inform., vol. 9, no. April, pp. 89–99, 2023, doi: 10.34128/jsi.v9i1.431.
[5] P. Dipa Nusantara, F. Zuli, T. A. Kurniawan, H. Sitorus, K. Kusumawati, and S. B. Nauli, “Implementasi Material Requirements Planning Pada Perencanaan Persediaan Kebutuhan Bahan Baku Roti,” Univ. Satya Negara Indones. Jln. Arter. Pondok Indah, vol. 15, no. 1, p. 12240, 2023, [Online]. Available: http://dx.doi.org/10.22441/fifo.2023.v15i1.002
[6] T. R. P. Angguningtyas and M. Beatrix, “Analisis Waste Material dengan Pendekatan Lean Construction pada Proyek Pembangunan Rumah Dinas,” J. Sci. Res. Dev., vol. 6, no. 1, pp. 505–512, 2024.
[7] Syahrial Al-Rasyid and Veronika Happy Puspasari, “Identifikasi Material Yang Berpotensi Menjadi Waste Material Pada Proyek Gedung Kuliah Terpadu B Universitas Palangka Raya,” Basement J. Tek. Sipil, vol. 2, no. 1, pp. 60–67, 2024, doi: 10.36873/basement.v2i1.12761.
[8] D. A. Prihasti and A. A. Nugraha, “Analisis Manajemen Persediaan Dengan Metode Economic Order Quantity (EOQ) Pada Persediaan Bahan Baku UKM Bydevina,” Indones. Account. Lit. J., vol. 1, no. 3, pp. 537–548, 2021, doi: 10.35313/ialj.v1i3.3230.
[9] R. E. Simanjuntak and P. A. W, “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, 2022.
[10] A. Khamid and D. Fatrianto Suyatno, “Rancang Bangun Sistem Informasi Peramalan Penjualan pada Songkok Palapa Gresik dengan menggunakan Metode Time-Series Berbasis Website,” Jeisbi, vol. 02, no. 02, 2021.
[11] E. P. Astutik, H. Faizah, and R. R. Wantika, “Penerapan Case Method Berbantuan Software Pom-Qm Dalam Pembelajaran Program Linier,” FIBONACCI J. Pendidik. Mat. dan Mat., vol. 8, no. 2, p. 157, 2022, doi: 10.24853/fbc.8.2.157-164.
[12] R. Clacier, R. Fitriani, and Wahyudin, “Optimalisasi Keuntungan Menggunakan Program Linier dengan Metode Simpleks dan POM-QM pada Produksi Tahu,” J. Serambi Eng., vol. VIII, no. 2, pp. 5162–5169, 2023.
[13] I. Fawwaz and A. Faris Indriya Himawan, “Analisis Penyebab yang Mempengaruhi Terjadinya Keterlambatan Pengadaan Barang Pada PT Petrojaya Boral Plasterboard Gresik,” J. Indones. Sos. Teknol., vol. 2, no. 12, pp. 2214–2226, 2021, doi: 10.36418/jist.v2i12.313.
[14] R. R. Deri, W. Maulani, and P. Gunawan, “Perencanaan Persediaan Bahan Baku Untuk Menghindari Resiko Keterlambatan Produksi Produk Karet Compound Menggunakan Metode Material Requirement Planning (MRP),” J. Tek. Ind. J. Has. Penelit. dan Karya Ilm. dalam Bid. Tek. Ind., vol. 9, no. 1, p. 269, 2023, doi: 10.24014/jti.v9i1.22466.
[15] T. M. Jannah, L. Latipah, and A. Muchayan, “Decision Support System Forecasting Penjualan Menggunakan Metode Simple Moving Average (Studi Kasus : CV. Perkakas Indonesia),” J. Sisfokom (Sistem Inf. dan Komputer), vol. 11, no. 2, pp. 214–222, 2022, doi: 10.32736/sisfokom.v11i2.1434.
[16] B. G. Aji, D. C. A. Sondawa, F. A. Anindika, and D. Januarita, “Analisis Peramalan Obat Menggunakan Metode Simple Moving Average, Weighted Moving Average, Dan Exponential Smoothing,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 4, p. 959, 2022, doi: 10.30865/jurikom.v9i4.4454.
[17] R. Marsha and A. Hakim, “Analisis Peramalan Permintaan Bensin Pertamax Menggunakan Metode Time-Series Forecast Pada Pt . Zindan Utama Jaya Pada Tahun 2024,” J. Lentera Bisnis, vol. 13, no. September, pp. 1653–1666, 2024, doi: 10.34127/jrlab.v13i3.1214.
[18] P. Anggraini, M. Amin, and N. Marpaung, “Comparison of Weighted Moving Average Method with Double Exponential Smoothing in Estimating Production of Oil Palm Fruit,” Build. Informatics, Technol. Sci., vol. 4, no. 2, pp. 705–722, 2022, doi: 10.47065/bits.v4i2.2066.
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