Sosialisasi Penerapan Metode Arima Untuk Peramalan Permintaan dan MRP untuk Perencanaan Bahan Baku Pengemasan Minyak Goreng

Sesaria Maharani Rachma P, Sita Aniisah Sholihah, Wahyu Poncotoyo, Andy Maulana, Jonathan Jonathan

Abstract


One of the important supply chains that supply raw materials for edible oils is the production system. Influencing costs that can be minimized by preventing overstocking of raw materials. The purpose of this activity is to explain the importance of supply chain inventory planning in food ingredients and to estimate demand using forecasting techniques, i.e. production planning using Autoregressive Integrated Moving Average (ARIMA) and Material Requirements Planning (MRP). to carry out the plan. Method based on Fixed Order Quantity (FOQ) and Periodic Order Quantity (POQ). This activity is targeted at food distributors, and it is expected that the effectiveness and efficiency of food distribution activities will be enhanced by applying these two methods. The socialization method is conducted through webinars (online seminars) with presentations of materials and questions and answers. There were 104 seminar participants, consisting of employees from various production and logistics institutions and 4 ITL Trisakti lecturers. According to the evaluation questionnaire after the exchange meeting, the seminar participants were satisfied and interested in the activities of her ITL Trisakti Lecturer. The results of this socialization activity will be very useful for the training of industry participants, especially those working in the food sector. 


Keywords


forecast; arima; MRP; demand; Inventory

Full Text:

PDF

References


Elvani, S. P., Utary, A. R., & Yudaruddin, R. (2016). Peramalan Jumlah Produksi Tanaman Kelapa Sawit dengan Menggunakan Metode Arima. Jurnal Manajemen, 8(1), 95–112. https://journal.feb.unmul.ac.id/index.php/JURNALMANAJEMEN/article/view/1189%0Ahttps://journal.feb.unmul.ac.id/index.php/JURNALMANAJEMEN/article/download/1189/115

Ferdiansyah, A., Adrianto, L., & Sartono, B. (2018). Pemodelan Dinamik dan Peramalan Tarif Angkutan Pelayaran Curah Kering. Warta Penelitian Perhubungan, 29(2), 201–218. https://doi.org/10.25104/warlit.v29i2.586

Haming, M., & Nurnajamuddin, M. (2017). Manajemen Produksi Modern Buku 1 (Y. S. Hayati (ed.); 3rd ed.). PT Bumi Aksara.

Hasanah, F. (2019). Penerapan Metode Exponential Smoothing Dalam Meprediksi Jumlah Peserta Didik Baru di MAN 2 Kota Kendari (Studi Kasus di MAN 2 Kota Jambi).

Notiasari, G. M., Nabilah, S. F., Hidayat, aden D. R., Sitorus, P. P., & Gultom, S. (2018). The Promotion Strategy To Increase Public Awareness of Halal Logistics In Indonesia. Global Research On Sustainable Transport & Logistics, 1224–1232. https://doi.org/ISSN: 2662-5778

nurulita. (2012). Penerapan Metode Peramalan Arima (Autoregressive Integrated Moving Average) Untuk Penentuan Tingkat Safety Stock Pada Industri Elektronik.

Poncotoyo, W., Rachma, S. M., & Pratiwi, S. W. (2019). Penerapan Six Sigma pada Proses Fabrikasi untuk Menurunkan Biaya Rantai Pasok. Jurnal Manajemen Transportasi & Logistik, 6(3), 215–230.

Puspita, S. M. R., Tatiana, Y., Jonathan, Parlindungan, P., Rahfi, M. S., & Aradena, A. A. G. H. (2021). Analisis Peramalan Permintaan dan Perencanaan Bahan Baku Untuk Pengemasan Minyak Goreng. 1(2), 43–51.

Savira, A. N., Fatmawati, R., Rozin Z, M., & Eko S, M. (2018). Peningkatan Minat Belajar Siswa Dengan Menggunakan Metode Ceramah Interaktif. Factor M, 1(1), 43–56. https://doi.org/10.30762/f_m.v1i1.963

Setyorini, T., Saribanon, E., & Pratiwi, S. W. (2020). AN ANALYSIS OF THE IMPACTS OF THE COVID-19 PANDEMIC ON PET FOOD PROCUREMENT. Advances in Transportation and Logistics Research, 3, 607–614. https://doi.org/ISSN: 2622-5778

Subagyo, H., Ricardianto, P., Setiawan, E. B., Simarmata, J., & Pratiwi, S. W. (2022). Supply Chain Performance Measurement of Logistic Business Using SCOR Model in the Indonesian Main Ports. International Journal of Scientific Engineering and Science, 5(12), 100–106. http://ijses.com/

Ulfa, A. M. (2020). Konsumsi Minyak Goreng Berdasarkan Jenis. Katadata. https://databoks.katadata.co.id/datapublish/2020/08/12/konsumsi-minyak-goreng-berdasarkan-jenis

Xu, G., Piao, S., & Song, Z. (2015). Demand Forecasting of Agricultural Products Logistics in Community. American Journal of Industrial and Business Management, 05(07), 507–517. https://doi.org/10.4236/ajibm.2015.57050




DOI: http://dx.doi.org/10.54324/j.atl.v3i1.1143

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Sesaria Maharani Rachma P, Sita Aniisah Sholihah, Wahyu Poncotoyo, Andy Maulana, Jonathan Jonathan

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

Creative Commons Licence

Jurnal Abdimas Transportasi & Logistik is licensed under a  Creative Commons Attribution-NonCommercial 4.0 International License.