Optimizing Capacity to Meet Production Planning and Implementing Blue Economy Practices at the Popcorn Factory in Surabaya
Abstract
Production planning is the process of organizing and controlling the flow of materials in and out of the production system to meet consumer needs with the right quantity and timing while keeping production costs low. Based on the analysis, the popcorn factory in Surabaya has not maximized capacity management, as evidenced by the occurrence of surplus and deficit in available capacity (CA) during certain periods. The Surabaya popcorn factory does not fully utilize capacity management because the company produces either more or fewer products than the demand. Overproduction can lead to warehouse overstocking, while underproduction prevents the company from meeting consumer needs. The purpose of this research is to analyze and evaluate the capacity of resources and production equipment using forecasting techniques with minimum MSE (Mean Squared Error) to obtain an optimal production capacity plan and make appropriate capacity planning recommendations to ensure all consumer demands are met.
Downloads
References
Aditya Permana, Pratikno, F. A., & Pratikno, F. A. (2023). Perencanaan Kapasitas dan Waktu Produksi Tahu di Rumah Produksi Bapak Rahim, Sentra Industri Kecil Somber Balikpapan. SPECTA Journal of Technology, 7(3). https://doi.org/10.35718/specta.v7i3.1005
Agustian, S., & Wibowo, H. (2019). Perbandingan Metode Moving Average untuk Prediksi Hasil Produksi Kelapa Sawit. Seminar Nasional Teknologi Informasi, Komunikasi Dan Industri (SNTIKI), 1.
Bersabie, R., Lasalewo, T., & Machmoed, B. R. (2022). Analisis Kapasitas Produksi Vco (Virgin Coconut Oil) Menggunakan Metode Rccp (Rough Cut Capacity Planning) Di Pt. Millenium Agroindo Selebes. Jurnal Vokasi Sains Dan Teknologi, 2(1). https://doi.org/10.56190/jvst.v2i1.17
Darmawan, R. N., Wijaya, J. C. A., & Putra, A. P. (2023). Peramalan Tingkat Penghunian Kamar (TPK) pada Hotel Berbintang di Banyuwangi dengan Metode Naive dan Decomposition. G-Tech: Jurnal Teknologi Terapan, 8(1). https://doi.org/10.33379/gtech.v8i1.3543
Hidayat, T., Ulum, R. B., & Widarman, A. (2023). Rencanaan Kapasitas Produksi Pupuk Dengan Menggunakan Metode Rough Cut Capacity Planning (Rccp) Pada Pt.Pupuk Kujang. Jurnal Ilmiah Multidisiplin, 2(04). https://doi.org/10.56127/jukim.v2i04.816
Mirdaolivia, M., & Amelia, A. (2021). Metode Exponential Smoothing Untuk Forecasting Jumlah Penduduk Miskin Di Kota Langsa. Jurnal Gamma-Pi, 3(1). https://doi.org/10.33059/jgp.v3i1.3771
Oktaviani, R., Marisa Midyanti, D., & Bahri, S. (2021). Implementasi Metode Regresi Linear Untuk Prediksi Kebutuhan Energi Listrik PLN Rayon Sintang Berbasis Website. Coding Jurnal Komputer Dan Aplikasi, 9(1).
Pratama, D. A., Hidayati, S., Suroso, E., & Sartika, D. (2020). Analisis Peramalan Permintaan dan Pengendalian Persediaan Bahan Baku Pembantu pada Industri Gula (Studi Kasus PT. XYZ Lampung Utara). Jurnal Penelitian Pertanian Terapan, 20(2). https://doi.org/10.25181/jppt.v20i2.1636
Samosir, S. W. B., Sarkis, I. M., & ... (2022). Peramalan Penggunaan Obat Di Puskesmas Hatonduhan Dengan Metode Trend Projection. Jurnal Ilmiah Teknik ….
Sitorus, H., Rosihan, R. I., & Fizai, M. (2022). Optimasi Kapasitas Produksi Dengan Integer Linear Programming (ILP) Dalam Perencanaan Jadwal Induk Produksi Di PT Indonesia Epson Industry. Jurnal Ilmiah Vastuwidya, 5(1). https://doi.org/10.47532/jiv.v5i1.404
Wardah, S., & Iskandar, I. (2017). Analisis Peramalan Penjualan Produk Keripik Pisang Kemasan Bungkus (Studi Kasus: Home Industry Arwana Food Tembilahan). J@ti Undip: Jurnal Teknik Industri, 11(3). https://doi.org/10.14710/jati.11.3.135-142
Copyright (c) 2024 Nandaryani Damastutik, Wiwik Handayani

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.















