Planning For The Number Of Optimal CPO Production Using The Goal Programming Method At PT.Socfindo Kebun Seunagan's Palm Oil Mills
Abstract
In good management, planning is very influential in implementing production activities. Production planning in the factory is carried out based on the estimated production of crude palm oil (CPO) and Palm Kernel Oil (PKO) for each period. This estimate uses production data in the previous period. But in reality, companies are often confronted with conditions where there is a mismatch of production with the volume of planned production targets. The method used as an optimal solution to determine CPO production is the goal programming method. Data processing is carried out by predicting demand and then processed with LINDO's ( linear interactive discrete optimizer). The decision variable is based on the factory's CPO production activities and FFB procurement activities. The target to be achieved from this study is to obtain an optimal production plan as an alternative problem-solving in optimizing unemployed production capacity. The optimal production results are accepted by the goal programming approach for the next period to be the 7th period 362981,875 kg, the 8th period 353489 kg, period-9 301006 kg, period-10 271630, kg, period-11 350043,562 kg, period 12 335153,281 kg. Thus it can be said that the total demand can be fulfilled. The results of comparing forecasting demand and data processing with the goal programming method, production is declared optimal because production can be met.
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T. Khotimah and R. Nindyasari, “Forecasting Dengan Metode Regresi Linier Pada Sistem Penunjang Keputusan Untuk Memprediksi Jumlah Penjualan Batik (Studi Kasus Kub Sarwo Endah Batik Tulis Lasem),” J. Mantik Penusa, vol. 1, no. 1, 2017.
E. Prasetyowati, B. Said, and S. Rachmatullah, “Aplikasi Penentuan Harga Pokok Produksi Batik Madura Dengan Metode Activity Based Costing Dan Analisis Regresi Linier,” JUTI J. Ilm. Teknol. Inf., vol. 16, no. 1, pp. 48–58, 2018.
D. Mulyani, "Prediction of new student numbers using least square method," Int. J. Adv. Res. Artif. Intell., vol. 4, no. 5, pp. 30–35, 2015.
I. Wahyuni, N. Nafi’iyah, and M. Masruroh, “Sistem Peramalan Penjualan Perumahan Di Kabupaten Lamongan Dengan Menggunakan Metode Regresi Linier Berganda,” in Seminar Nasional Sistem Informasi (SENASIF), 2019, vol. 3, pp. 1969–1973.
M. Syafruddin, L. Hakim, and D. Despa, “Metode Regresi Linier Untuk Prediksi Kebutuhan Energi Listrik Jangka Panjang (Studi Kasus Provinsi Lampung),” J. Inform. dan Tek. Elektro Terap., vol. 2, no. 2, 2014.
Z. Rival, S. J. S. Wahyu, and S. Ni Ketut, “Aplikasi Peramalan Penjualan Menggunakan Metode Regresi Linier,” SCAN J. Teknol. Inf. dan Komun., vol. 7, no. 3, pp. 41–45, 2012.
D. Fitrianah, N. H. Praptono, A. N. Hidayanto, and A. M. Arymurthy, "Feature exploration for prediction of potential tuna fishing zones," Int. J. Inf. Electron. Eng., vol. 5, no. 4, p. 270, 2015.
N. Aini, S. Sinurat, and S. A. Hutabarat, “Penerapan Metode Simple Moving Average Untuk Memprediksi Hasil Laba Laundry Karpet Pada CV. Homecare,” JURIKOM (Jurnal Ris. Komputer), vol. 5, no. 2, pp. 167–175, 2018.
M. Hakimah, R. R. Muhima, and A. Yustina, “Rancang Bangun Aplikasi Peramalan Persediaan Barang Dengan Metode Trend Projection,” J. Simantec, vol. 5, no. 1, 2015.
M. Sadikin and F. Alfiandi, "Comparative study of classification method on customer candidate data to predict its potential risk," Int. J. Electr. Comput. Eng, vol. 8, no. 6, pp. 4763–4771, 2018.
A. A. Pangestu and A. A. P. Negara, “implementasi metode 5S (seiri, seiton, seiso, seiketsu, shitsuke) pada unit reaching di pt. Xyz tekstil majalengka,” in Prosiding Industrial Research Workshop and National Seminar, 2019, vol. 10, no. 1, pp. 490–494.
S. Adi and F. Yuamita, “Analisis Ergonomi Dalam Penggunaan Mesin Penggilingan Pupuk Menggunakan Metode Quick Exposure Checklist Pada PT. Putra Manunggal Sakti,” J. Teknol. dan Manaj. Ind. Terap., vol. 1, pp. 22–34, 2022, doi: https://doi.org/10.55826/tmit.v1iI.7.
F. N. Rahman and A. Y. Pratama, “Analisis Beban Kerja Mental Pekerja Train Distribution PT. Solusi Bangun Indonesia,” J. Teknol. dan Manaj. Ind. Terap., vol. 1, pp. 7–14, 2022, doi: https://doi.org/10.55826/tmit.v1iI.11.
A. Wicaksono and F. Yuamita, “Pengendalian Kualitas Produksi Sarden Mengunakan Metode Failure Mode and Effect Analysis (FMEA) Untuk Meminimumkan Cacat Kaleng Di PT. Maya Food Industries,” J. Teknol. dan Manaj. Ind. Terap., vol. 1, pp. 1–6, 2022, doi: https://doi.org/10.55826/tmit.v1iI.6.
J. N. A. Aziza, “Perbandingan Metode Moving Average, Single Exponential Smoothing, dan Double Exponential Smoothing Pada Peramalan Permintaan Tabung Gas LPG PT Petrogas Prima Services,” J. Teknol. dan Manaj. Ind. Terap., vol. 1, pp. 35–41, 2022, doi: https://doi.org/10.55826/tmit.v1iI.8.
N. Nazaruddin and S. Sarbaini, “Evaluasi Perubahan Minat Pemilihan Mobil dan Market Share Konsumen di Showroom Pabrikan Honda,” J. Teknol. dan Manaj. Ind. Terap., vol. 1, no. II, pp. 97–103, 2022.
B. Putro, M. T. Furqon, and S. H. Wijoyo, “Prediksi Jumlah kebutuhan pemakaian air menggunakan metode exponential smoothing (Studi Kasus: PDAM Kota Malang),” J. Pengemb. Teknol. Inf. Dan Ilmu Komput. E-ISSN, vol. 2548, p. 964X, 2018.
R. Gustriansyah, “Analisis metode single exponential smoothing dengan brown exponential smoothing pada studi kasus memprediksi kuantiti penjualan produk farmasidi apotek,” Semnasteknomedia online, vol. 5, no. 1, pp. 3–5, 2017.
N. L. N. M. Wedasari, “Perancangan prediksi persediaan barang pada Andis Griya Kebaya,” Proc. Konf. Nas. Sist. dan Inform., 2015.
E. Rudyarti, “Hubungan pengetahuan keselamatan dan kesehatan kerja dan sikap penggunaan alat pelindung diri dengan kejadian kecelakaan kerja pada pengrajin pisau,” UNS PRES, vol. 11, 2018, Accessed: Jun. 25, 2022. [Online]. Available: http://repo.stikesicme-jbg.ac.id/4395/13/PROSIDING-SEMNAS-K3.pdf#page=21.
M. Rizki et al., "Determining Marketing Strategy At LPP TVRI Riau Using SWOT Analysis Method," J. Appl. Eng. Technol. Sci., vol. 3, no. 1, pp. 10–18, 2021, Accessed: May 30, 2022. [Online]. Available: https://yrpipku.com/journal/index.php/jaets/article/view/276.
S. Isniah, H. Hardi Purba, and F. Debora, "Plan do check action (PDCA) method: literature review and research issues," J. Sist. dan Manaj. Ind., vol. 4, no. 1, pp. 72–81, 2020, doi: 10.30656/jsmi.v4i1.2186.
F. Surayya Lubis et al., “Analisis Kepuasan Pelanggan dengan Metode Servqual dan Pendekatan Structural Equation Modelling (SEM) pada Perusahaan Jasa Pengiriman Barang di Wilayah Kota Pekanbaru,” SITEKIN J. Sains, Teknol. dan Ind., vol. 17, no. 1, pp. 25–31, 2019, Accessed: May 30, 2022. [Online]. Available: http://ejournal.uin-suska.ac.id/index.php/sitekin/article/view/9366.
T. Indarwati, T. Irawati, and E. Rimawati, “Penggunaan Metode Linear Regression Untuk Prediksi Penjualan Smartphone,” J. Teknol. Inf. Dan Komun., vol. 6, no. 2, 2019.
M. S. Rumetna, T. N. Lina, L. R. Tauran, T. Patty, A. Malak, and K. Yawan, “Penerapan Metode Simpleks pada Usaha Dagang Bintang Tiurma,” J. Innov. Inf. Technol. Appl, vol. 2, no. 01, pp. 28–36, 2020.
M. S. Rumetna, T. N. Lina, and A. B. Santoso, “Rancang bangun aplikasi koperasi simpan pinjam menggunakan metode research and development,” Simetris J. Tek. Mesin, Elektro Dan Ilmu Komput., vol. 11, no. 1, pp. 119–128, 2020.
DOI: http://dx.doi.org/10.24014/sitekin.v20i2.21612
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