Optimasi Perencanaan Produksi Usaha Keripik Sanjai Rina Menggunakan Pendekatan De Novo Programming

Bella Oktavia -
Rara Winanda -

Abstract


One important part of industry is production planning. Production planning is a strategy to determine how many products to produce and how many resources are needed to make these products. By using the De Novo Programming approach, this research aims to determine the right production planning in the Business of Keripik Sanjai Rina so that the maximum profit is obtained. The De Novo Programming approach can determine the best combination of output and proposed use of resources based on the available budget. This approach can be solved using the simplex method. The results showed that the optimal number of products and the amount of raw material purchases were obtained so that the profit obtained by the Business of Keripik Sanjai Rina increased by 35%.


Full Text:

PDF

References


Assauri, S. (2008). Manajemen Produksi dan Operasi. Jakarta : Universitas Indonesia.

Sinulingga, S. (2009). Perancangan dan Pengendalian Produksi. Yogyakarta: Graha Ilmu.

Kusuma, H. (2004). Manajemen Produksi: Perencanaan dan Pengendalian Produksi. Yogyakarta: Andi.

Indiyanto, R. (2008). Perencanaan dan Pengendalian Produksi. Klaten: Yayasan Humaniora.

Siswanto. (2007). Operation Research. Jakarta : Erlangga.

Taha, H. A. (2017). Operation Research An Introduction . England: Pearson Education.

Supranto, J. (1998). Riset Operasi untuk Pengambilan Keputusan. Jakarta: Universitas Indonesia.

Winston, W. (2003). Operation Research: Applications and Algorithms. Duxbury Press.

Fiala, P. (2018). Multiobjective De Novo Linear Programming. Mathematica, 29-36.

Zeleny, M. (2014). Optimizing Given System vs Designing Optimal System: The De Novo Programming Approach. Internasional Jurnal General System.

Zeleny, M. (2014). Optimal System Design With Multiple Criteria: De Novo Programming Approach. Engineering Cost and Production Economics.

Sarjono, H., Wang, D., & Suprapto, A. T. (2016). De Novo Programming Method Application for Production Planning. IBIMA.

Babic, Z., & Pavic, I. (1996). Multicriterial Production Planning by De Novo Programming Approach. International Journal of Production Economics, 59-66.

Budianti, R. S. (2021). Optimasi Produksi Buis Beton Menggunakan Model De Novo Programming. Jurnal Riset Matematika.

Yusnita, E. (2019). Aplikasi Metode De Novo Programming untuk Optimasi Perencanaan Produksi. Journal of Industrial and Manufacture Engineering.

Yulianto, A., & Syukri, S. (2020). Penggunaan Model De Novo Programming dengan Pendekatan Min-Max Programming dalam Perencanaan Produksi. Journal of Industrial & Quality Engineering.

Widarman, A., Yudha, H. S., & Kamal, R. R. (2022). Perencanaan Produksi dengan Metode De Novo Programming untuk Memaksimalkan Keuntungan Perusahaan di CV Jaya Mukti Bangkit Purwakarta. Jurnal Teknik Logika Matematika.

Aryanny, E., Sagita, B., & Dewi, S. (2022). Perencanaan Produksi dengan Metode De Novo Programming untuk Mengoptimalkan Keuntungan di PT Varia Usaha Beton Waru-Sidoarjo.

Perkasa, A. (2018). Optimasi Perencanaan Produksi Menggunakan Metode Linier Programming dan De Novo Programming.

Siang, J. J. (2014). Riset Operasi dalam Pendekatan Algoritmis. Yogyakarta: Andi.

Zeleny, M. (2005). The Evolution of Optimality: De Novo Programming.

Babic, Z., & Veza, I. (2018). Application of De Novo Programming Approach for Optimizing the Business Process. International Journal of Industrial and System Engineering..

Iriani. (2012). Efektivitas Perencanaan Produksi dengan Pendekatan De Novo Programming. Surabaya: UPN Veteran.

Hassan, N. R. (2021). The Literature Review of De Novo Programming. Journal of University of Shanghai for Science and Technology.

Chakraborty, S., & Bhattacharya, D. (2014). A Note the Solution of Multi-Objective De Novo Programming Problem. Emerging Research in Computing Information Communizatin and Application.




DOI: http://dx.doi.org/10.24036/unpjomath.v8i3.14976