Optimization of Production Plastic Sacks Using POM-QM Application for Windows (Case Study: PT Rajawali Tanjungsari Engineering)

Abstract

This Company is a manufacturing company that produces plastic bags. That the achievement of the 2019 production target of 21.600.000/Lbr while at the PT. Rajawali Tanjungsari Engineering production in 2019 was 18,045,150/Lbr. And the 2020 target is 22.350.000/Lbr while the PT. Rajawali Tanjungsari Engineering production in 2019 was 17,805,656/Lbr. Based on these data, the production target has not been achieved yet. The purpose of the study was to determine the optimal level of plastic bag production and the company's optimal level of profit. Methods this research is a quantitative descriptive study, namely the description and analysis of linear programming and sensitivity analysis. Based on the results of the research, the level of optimization of production at PT Rajawali Tanjungsari Enjiniring is to produce Woven Bags as much as 18,232,800 Lbr with the percentage level generated from the production of Woven Bag products showing 29% of the actual condition, while the Inner Bag is 13,445,630 Lbr with the same percentage level. The result from the production of Woven Bag products shows 2% and from the optimization results using Linear Programming with the Pom-Qm for Windows tool. While the total sales profit in optimal conditions is Rp. 75,528,738,000, - with a total percentage rate of 35% of the actual sales.

Country : Indonesia

1 Achmad Azhar Cholil2 Sugiyono Madelan

  1. University of Mercu Buana, Faculty of Economics and Business, Jakarta, Indonesia
  2. University of Mercu Buana, Faculty of Economics and Business, Jakarta, Indonesia

IRJIET, Volume 6, Issue 8, August 2022 pp. 15-24

doi.org/10.47001/IRJIET/2022.608003

References

  1. Adhi Prasnowo, M., Purwanto, R., Sugiarto, A., Heru Romadhon, A., Rokhmawan, T., Aulia, V., Vira Zwagery, R., Fitriana Afriza, E., Kunto Aribowo, E., Kurniawan, Rianita, D., Hadi Saputra, D., Mangiring Parulian Simarmata, H., Gienardy, M., Yusuf, A., Ratnadewi, Febrianty, Setyowati, N., Muktamar, Z., … Winarni, S. (2019). Designing odoo’s enterprise resource planning (ERP) in micro, small and medium enterprises (MSMEs). Journal of Physics: Conference Series, 1175(1). https://doi.org/10.1088/1742-6596/1175/1/012202
  2. Adtria, K. V., & Rarasati, N. (2021). Analisis Sensitivitas dalam Optimalisasi Produksi Makaroni Iko Menggunakan Linear Programming. Jurnal Matematika Dan Pendidikan Matematika, 3(2), 174–182.
  3. Agnia, G., Herwanto, D., Hoerunisa, I., Nugraha, B., & Sari, R. P. (2021). Optimize the Time and Network on the Distribution of Tempe Industry by Using the Approach of the Assignment and Networking. Jurnal Serambi Engineering, 6(2). https://doi.org/10.32672/jse.v6i2.2863
  4. Ahmad, F. (2020). Penentuan Metode Peramalan Pada Produksi Part New Granada Bowl ST Di PT. X. Jurnal Integrasi Sistem Industri, 7(1), 31–39.
  5. Aini, N., Sinurat, S., & Hutabarat, S. A. (2018). Penerapan Metode Simple Moving Average Untuk Memprediksi Hasil Laba Laundry Karpet Pada CV . Homecare. Jurnal Riset Komputer (JURIKOM), 5(2), 167–175.
  6. Aprilyanti, S. (2019). Optimasi Keuntungan Produksi Pada Industri Kayu PT . Indopal Harapan Murni Menggunakan Linear. Jurnal Penelitian Dan Aplikasi Sistem & Teknik Industri (PASTI), 13(1), 1–8.
  7. Baharudin, S., & Noordin, N. (2018). A Linear Programming Approach to Optimize Natural Rubber Production. Journal of Computing Research and Innovation, 2(1), 50–55. https://doi.org/10.24191/jcrinn.v2i1.30
  8. Durmuş, B., İŞÇİ GÜNERİ, Ö., & İNCEKIRIK, A. (2019). Comparison of Classic and Greedy Heuristic Algorithm Results in Integer Programming: Knapsack Problems. Mugla Journal of Science and Technology. https://doi.org/10.22531/muglajsci.469475
  9. Fattah, M., Susadiana, S., & Sofiati, D. (2021). Optimization of Pangasius Catfish Production in Pagersari Village, Tulungagung Regency. Journal of Aquaculture and Fish Health, 10(1), 85. https://doi.org/10.20473/jafh.v10i1.20876
  10. Firdaus, A. (2016). ANALISIS MODEL ANTRIAN PADA PELAYANAN PELANGGAN (STUDI KASUS PENGISIAN BAHAN BAKAR PADA SPBU KOTA JAMBI) Analysis Of The Queueing Models On Customer Service (a Case Study of Refueling at Gas Stations of The City of Jambi). J-Mas, 1(1), 83–97.
  11. Frimpong, F. O., & Owusu, A. (2015). Allocation of Classroom Space Using Linear Programming ( A Case Study : Premier Nurses Training College , Kumasi ). Journal of Economics and Sustainable Development, 6(2), 12–20.
  12. Hamali, S., Nurfanka, A. G. R., Firdausi, A. M., & Setiawati, M. S. (2020). Evaluation of the delayed fiber optical installation project on pre-sales division at PT XYZ. IOP Conference Series: Earth and Environmental Science, 452(1). https://doi.org/10.1088/1755-1315/452/1/012081
  13. Heizer, J., Render, B., & Munson, C. (2017). Operations Management (Sustainability and Supply Chain Management).
  14. Hermanto, N., Hermaliani, E. H., & Sutinah, E. (2017). Vogell’s Aproximation Method Dalam Optimalisasi Biaya Transportasi Pengiriman Koran pada PT Arah Medialog Pembangunan. Jurnal Teknik Komputer AMIK BSI (JTK), III(1), 30–36.
  15. Hiswati, M. E., & Wicaksono, L. N. (2017). Implementasi Metode Simplek Untuk Mengetahui Optimasi Produksi Gerabah (Studi Kasus: Sentra Kerajinan Kasongan Bantul Daerah Istimewa Yogyakarta). JISKA (Jurnal Informatika Sunan Kalijaga), 2(2), 71. https://doi.org/10.14421/jiska.2017.22-02
  16. Ima Ratnasari, D. D. R. (2018). PENGALOKASIAN PRODUK PADA MESIN STRIPPING DENGAN MENGGUNAKAN ASSIGNMENT METHOD DI PT KIMIA FARMA TBK PLANT BANDUNG. Jurnal Teknovasi, 05(02), 26–29.
  17. Ishak, A., & Nababan, P. (2020). The fuzzy goal programming approach to production planning of intermediate gear spare parts: a case study. Jurnal Sistem Dan Manajemen Industri, 4(2), 137–143. https://doi.org/10.30656/jsmi.v4i2.2143
  18. Khlil, S., Al-Khazraji, H., & Alabacy, Z. (2020). Solving Assembly Production Line Balancing Problem Using Greedy Heuristic Method. IOP Conference Series: Materials Science and Engineering, 745(1). https://doi.org/10.1088/1757-899X/745/1/012068
  19. Koltai, T., & Tatay, V. (2011). A practical approach to sensitivity analysis in linear programming under degeneracy for management decision making. International Journal of Production Economics, 131(1), 392–398. https://doi.org/10.1016/j.ijpe.2010.04.037
  20. Kurniawan, M. F., Madelan, S., Saluy, A. B., Buana, U. M., Buana, U. M., & Buana, U. M. (2021). EFFICIENCY ANALYSIS OF EXCAVATOR NUT INVENTORY USING ECONOMIC ORDER QUANTITY METHOD AT PT . ABCDE BEKASI-JAWA. Jurnal Dinasti, 2(3), 265–276.
  21. Lestari, F., Anwar, U., Nugraha, N., & Azwar, B. (2017). Forecasting demand in blood supply chain (case study on blood transfusion unit). Lecture Notes in Engineering and Computer Science, 2230, 764–767.
  22. Lina, T. N., Marlissa, B. S., Rumetna, M. S., & Lopulalan, J. E. (2020). Penerapan Metode Simpleks Untuk Meningkatkan Keuntungan Produksi. JURIKOM (Jurnal Riset Komputer), 7(3), 459. https://doi.org/10.30865/jurikom.v7i3.2204
  23. Lina, T. N., Rumetna, M. S., Pangaribuan, E. A. W., Permana, M., Mambrasar, Y., Martvie, N., Magdalena, M., Tambayong, H., Kaliele, J., & Tangmerun, D. (2021). Premium Dan Pertalite Menggunakan Metode Maximization of Profit on Premium and Pertalite Businesses Using Simplex Methods and Pom-Qm. Elektro Luceat, 7(1), 1–9.
  24. Listiani, D. P., Putri, S. N. D., & Annisa, V. (2021). Implementasi Integer Programming dalam Mengoptimalkan Produksi Kopi Susu ( Studi Kasus : Kopi Rekan ). Bulletin of Applied Industrial Engineering Theory, 2(2), 81–84.
  25. Marit, I. Y., Nursanti, E., & Vitasari, P. (2020). Analysis of time acceleration using Critical Path Method (CPM) to increase motorcycle maintenance in authorized service station. IOP Conference Series: Materials Science and Engineering, 885(1). https://doi.org/10.1088/1757-899X/885/1/012059
  26. Masayu Anisah, A.N. Afandi, Sabilal Rasyad, Evelina, T. R. (2017). APLIKASI LINEAR PROGRAMMING PADA SISTIM OPTIMASI SALURAN TRANSMISI. Jurnal Ampere, 2, 31–38.
  27. Md Zain, N. J., & Wan Shahidan, W. N. (2018). Maximization of Palm Fruit Planted Area Using a Goal Programming Approach. Journal of Computing Research and Innovation, 3(3), 46–51. https://doi.org/10.24191/jcrinn.v3i3.71
  28. Ngantung, M., Jan, A. H., Peramalan, A., Obat, P., Ngantung, M., & Jan, A. H. (2019). Analisis Peramalan Permintaan Obat Antibiotik Pada Apotik Edelweis Tatelu. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 7(4), 4859–4867. https://doi.org/10.35794/emba.v7i4.25439
  29. Prakoso, I. A., Kusnadi, K., & Nugraha, B. (2021). Peramalan Penjualan Produk Dengan Metode Regresi Linear Dan Aplikasi POM-QM di PT XYZ. Widya Teknik, 20(1), 17–20. http://journal.wima.ac.id/index.php/teknik/article/view/3158
  30. Purnama, E., Sugiyono, S., & Badawi Saluy, A. (2021). Optimization of Project Colocation At Pt. Xyz Using Pert and Cpm Methods Based on Pom-Qm for Windows Application. Dinasti International Journal of Education Management And Social Science, 3(2), 166–187. https://doi.org/10.31933/dijemss.v3i2.1040
  31. Ratnaningsih, W., Asmara, S., Rahmawati, W., Haryanto, A., & Novita, D. D. (2018). Optimalisasi Pengelolaan Usaha Laboratorium Lapang Terpadu Fakultas Pertanian Universitas Lampung Menggunakan Metode Linear Programming. Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering), 7(1), 25. https://doi.org/10.23960/jtep-l.v7i1.25-34
  32. Riswan, R. (2018). Penentuan Jarak Minimum dalam Suatu Jaringan Listrik dengan Algoritma Prim dan QM for Windows (Studi Kasus Pada Perumahan Nelayan di Kota Palopo). Al-Khwarizmi: Jurnal Pendidikan Matematika Dan Ilmu Pengetahuan Alam, 6(1), 77–88. https://doi.org/10.24256/jpmipa.v6i1.460
  33. Rumetna, M. S. (2019). Mengoptimalilasi Keterbatasan Sumber Daya Untuk Memaksimalkan Keuntungan Penjualan Es Kelapa Muda Menggunakan Metode Simpleks Dan Software Pom-Qm. Journal of Dedication to Papua Community, 2(2), 136–149. https://doi.org/10.34124/jpkm.v2i2.45
  34. Rumetna, M. S. (2021). Optimasi Jumlah Produksi Roti Menggunakan Program Linear Dan Software Pom-Qm. Computer Based Information System Journal, 9(1), 42–49. https://doi.org/10.33884/cbis.v9i1.3645
  35. Rumetna, M. S., & Lina, T. N. (2021). Forecasting Number of Covid-19 Positive Patients in Sorong City Using the Moving Average and Exponential Smoothing Methods. The IJICS (International Journal of Informatics and Computer Science), 5(1), 37–43. https://doi.org/10.30865/ijics.v5i1.2908
  36. Rumetna, M. S., Lina, T. N., Cahya, S. D., Liwe, B. M., & Kosriyah, M. (2020). Menghitung Keuntungan Maksimal Dari Penjualan Roti Abon Gulung Dengan Menggunakan Metode Simpleks Dan Software Pom-Qm. Jurnal Jendela Ilmu, 1(1), 6–12. https://doi.org/10.34124/ji.v1i1.49
  37. Rumetna, M. S., Lina, T. N., Rustam, M. Y., Sitaniapessy, S. F., Soulisa, D. I., Sihombing, D. S., Kareth, S., & Kadiwaru, Y. (2020). Optimalisasi Penjualan Noken Kulit Kayu Menggunakan Metode Simpleks Dan Software Pom-Qm. Computer Based Information System Journal, 8(2), 37–45. https://doi.org/10.33884/cbis.v8i2.1954
  38. Rumetna, M. S., Lina, T. N., Simarmata, L., Parabang, L., Joseph, A., & Batfin, Y. (2019). Pemanfaatan POM-QM Untuk Menghitung Keuntungan Maksimum UKM Aneka Cipta Rasa (ACR) Menggunakan Metode Simpleks. Geotik, 12–22.
  39. Rumetna, M. S., Otniel, O., Litaay, F., Sibarani, C., Tahrin, R., Lina, T. N., & Pakpahan, R. R. (2020). Optimasi Pendapatan Pembuatan Spanduk dan Baliho Menggunakan Metode Simpleks (Studi Kasus: Usaha Percetakan Shiau Printing). JURIKOM (Jurnal Riset Komputer), 7(2), 278. https://doi.org/10.30865/jurikom.v7i2.1922
  40. Ryan Swastiputro Adinugroho, & Madelan, S. (2021). Optimization of Cafe and Salon Development Project Management With Pert and Cpm Methods At Pt Dtd. Dinasti International Journal of Management Science, 3(1), 188–201. https://doi.org/10.31933/dijms.v3i1.919
  41. Salim, A., & Santoso, I. B. (2018). Optimasi Produksi Beton Ready Mix Dengan Metode Linear Programming. JMTS: Jurnal Mitra Teknik Sipil, 1(1), 65. https://doi.org/10.24912/jmts.v1i1.2243
  42. Setiawati, K., & Tenriajeng, A. T. (2021). OPTIMASI BIAYA OPERASIONAL MRT JAKARTA FASE I MENGGUNAKAN METODE VOGEL APPROXIMATION DENGAN SOFTWARE POM-QM FOR WINDOWS transportasi dihitung secara manual kemudian di input kedalam program VAM . Menurut ( Putra , 2018 ) Metode VAM ( Vogel Approximation M. Jurnal Teras, 11(2), 451–462.
  43. Shafii, N. H. B., Alias, R., & Radzuan, N. (2018). Least Cost Diet for Children Two to Three Years in Malaysia Using Linear Programming Approach. Journal of Computing Research and Innovation, 3(4), 25–30. https://doi.org/10.24191/jcrinn.v3i4.91
  44. Sholih Nugroho Hadi, Akhmad Hamdan, A. S. (2019). OPTIMASI FORMULASI PAKAN SAPI POTONG DENGAN MENGGUNAKAN LINEAR PROGRAMMING MODEL. Pengembangan Penyuluhan Peternakan, 16(30), 1–9.
  45. Simegn, D. T. (2019). Optimizing water productivity using deficit irrigation, the case of koga irrigation project, Ethiopia. Journal of Agriculture and Environment for International Development, 113(2), 197–209. https://doi.org/10.12895/jaeid.20192.1048
  46. Subiyanto, A. F., Aurachman, R., & I, M. D. (2018). Optimization In Develop The LTE Site Planning Jabodetabek Region Using Linear Programming Method In Pycharm And POM-QM Software , Case Study PT . XYZ. International Journal Of Science, Engineering, And Information Technology, 2(2), 60–64.
  47. Suparjo. (2021). Optimalisasi Biaya Peng iriman Menggunakan Metode NWC , Least Cost dan VAM Dengan Software POM-QM Pada Bagian Logistic PT Gotrans Logistic International. Scientifict Journal of Industrial Engineering, 2(1), 92–98. http://jim.unindra.ac.id/index.php/sijie/article/view/114
  48. Tjusila, A. K., & Gozali, L. (2021). Implementation of project management to develop the AHA.002 project with PERT method, Gantt chart and QM for windows v5 software at PT. Matahari Megah. Proceedings of the International Conference on Industrial Engineering and Operations Management, July, 2659–2668.
  49. Wang, P., Wang, C., Hu, Y., Varga, L., & Wang, W. (2018). Power generation expansion optimization model considering multi-scenario electricity demand constraints: A case study of zhejiang province, China. Energies, 11(6). https://doi.org/10.3390/en11061498