scholarly journals OPTIMIZATION OF PROCESSED FISHERY PRODUCTS ON TELUK SANTONG VILLAGE USING LINEAR PROGRAMMING METHOD

2021 ◽  
pp. 67-73
Author(s):  
Zulkieflimansyah ◽  
Muhammad Nurjihadi ◽  
Rudi Masniadi ◽  
Fitriah Permata Cita ◽  
Diah Anggeraini Hasri
Keyword(s):  
Linear Programming ◽  
Production Capacity ◽  
Production Costs ◽  
Total Production ◽  
Average Amount ◽  
Linear Programming Method ◽  
Constraint Factor ◽  
Maximum Profit ◽  
Total Profit ◽  
Fishery Products

This study aims to optimize processed fishery products in Teluk Santoni Village with a constraint factor: Fish Resources (SDI) availability. The analytical tool used in this research is linear programming, maximizing the profit of processed fishery products with limitations on the availability of human resources, production capacity, and total production costs. Based on the results of data analysis with the help of the Linear Program Solver (LiPS) software, it was found that to obtain maximum profit, the strategy that needs to be done is to produce crabs 10/3 times the average amount, 2.5 times salty, empek-empek and shrimp paste, produced two times the usual production amount and did not produce shredded fish and fish crackers. The total profit obtained from the optimization is Rp. 18.85 million per month. KEYWORDS: optimization, processed fishery products, linear programming

scholarly journals Advertisement quantity optimization to maximize profit in a Publishing House

2018 ◽  
Vol 15 (1) ◽  
pp. 68-77
Author(s):  
Natalia Boff Medeiros ◽  
Gabriel Vidor
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Operations Research ◽  
Research Method ◽  
Publishing House ◽  
Service Industries ◽  
Maximum Profit ◽  
Total Profit ◽  
Optimal Quantity

This study aims to determine the optimal quantity of pages and the optimal quantity of each size advertisement that a magazine should have to maximize profit in a publishing house. The solution of this problem is based on operations research method application and is composed by four steps: (i) defining the problem, (ii) algorithm application, (iii) modeling scenarios and (iv) decision-making. The application of the method is performed in a publishing house data and the problem is solved by linear programming perspective. The results indicate that it is possible to maximize the total profit finding the optimal quantity of advertisements. The main contribution of the paper is to illustrate the use of operations research at service industries through a publishing house case. In conclusion, the method proposed to improve the ads allocation regarding the maximum profit.

Linear Programming in Agriculture

2012 ◽  
Vol 1 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Ion Raluca Andreea ◽  
Turek Rahoveanu Adrian
Keyword(s):  
Linear Programming ◽  
Econometric Model ◽  
Programming Method ◽  
Optimal Structure ◽  
Production Structure ◽  
Risk And Uncertainty ◽  
Linear Programming Method ◽  
Maximum Profit ◽  
Reduce Risk

In agriculture, the production structure of farms can be highly diversified to reduce risk and uncertainty related to unsealing the products. To determine the optimal structure of crops, different methods which take into account the income and expenditure of crops per hectare are used. As a result, the area of each crop is identified, so that, in combining them to derive maximum profit level. In this paper, linear programming method is used for optimizing profit, investigating whether, after applying the econometric model, the profit increased or not. The results show that profit rose to 143% and costs reduced to 81%.

scholarly journals OPTIMASI FAKTOR PRODUKSI UNTUK MAKSIMASI KEUNTUNGAN USAHA BUDI DAYA RUMPUT LAUT DI DESA SATHEAN KECAMATAN KEI KECIL

2017 ◽  
Vol 12 (1) ◽  
pp. 45
Author(s):  
Eygner Talakua
Keyword(s):  
Linear Programming ◽  
Optimal Allocation ◽  
Primary Data ◽  
Seaweed Cultivation ◽  
Working Capital ◽  
Linear Programming Method ◽  
Production Factors ◽  
Maximum Profit ◽  
The Village

Keterbatasan faktor produksi seperti bibit, modal, dan tenaga kerja dalam menjalankan usahabudi daya rumput laut berdampak pada keuntungan yang akan diperoleh. Kondisi ini menuntut pemilikusaha budi daya rumput laut di Desa Sathean harus mampu mengelola usahanya dengan baik, terkaitpenentuan jumlah faktor produksi yang sifatnya terbatas untuk memperoleh keuntungan usaha yangmaksimal. Untuk itu tujuan penelitian ini adalah menganalisis alokasi faktor produksi yang optimaldan mengkaji keuntungan maksimum yang dapat diperoleh pada usaha budi daya rumput laut diDesa Sathean Kecamatan Kei Kecil. Data primer dikumpulkan dari 15 responden melalui wawancarasecara langsung dengan kuesioner dan pengamatan secara langsung terhadap obyek yang diteliti.Data dianalisis menggunakan metode pemrograman linier (linear programming) dan hasil dianalisissecara deskriptif kuantitatif. Hasil penelitian menunjukkan bahwa alokasi faktor produksi yang optimaluntuk tiap kegiatan produksi budi daya rumput laut adalah penggunaan luas area budi daya seluas7.058 m2 atau 0,7058 ha, penggunaan modal kerja sebesar Rp.891.907,1 penggunaan bibit sebanyak157,47 kg, dan penggunaan tenaga kerja sebanyak 1.403 HOK, sehingga dapat memaksimalkankeuntungan yang dapat diperoleh usaha budi daya rumput laut di Desa Sathean Kecamatan Kei Kecilsebesar Rp.5.010.716,- tiap kegiatan produksi budi daya rumput laut.Title: Optimizing Production Factors to Profit Maximize of Seaweed Cultivation in the Sathean Village of Kei Kecil SubdistrictLimitations of production factors such as seeds, capital, and labor in carrying seaweed cultivationimpact on profits to be earned. These conditions require the owner of seaweed cultivation in the SatheanVillage should be able to manage their business well, related to the determination of the amount ofproduction factors that are limited to gain maximum business. For the purpose of this study is to analyzethe optimal allocation of production factors and assess the maximum profit that can be obtained onseaweed cultivation in the Sathean Village of Kei Kecil Subistrict. Primary data was collected from 15respondents through direct interviews with questionnaires and direct observation of the object studied.Data were analyzed using linear programming method and the results were analyzed descriptivelyquantitative. The results showed that the optimal allocation of factors of production for each productionactivity of seaweed cultivation is the use of the area cultivated an area of 7,058 m2 or 0.7058 ha, the useof working capital of 891.907.1 IDR use as much as 157.47 kg of seeds, and the use of labor as many as1,403 HOK, so as to maximize the benefits that can be obtained seaweed cultivation in the village of KeiKecil Sathean District of 5,010,716 IDR,- per activity seaweed cultivation production.

scholarly journals Penerapan Linear Programming untuk Mengoptimalkan Jumlah Produksi dalam Memperoleh Keuntungan Maksimal pada CV Cipta Unggul Pratama

The Winners ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 55
Author(s):  
Sugiarto Christian
Keyword(s):  
Linear Programming ◽  
Demand Forecasting ◽  
Raw Material ◽  
Linear Programming Method ◽  
Territorial Expansion ◽  
Maximum Profit ◽  
Maximum Benefit ◽  
Formal Employment ◽  
The Right ◽  
Sports Shoes

The purpose of this study is to investigate and understand the barriers and optimize the combination of products in production quantities to gain maximum profit in CV Cipta Unggul Pratama. This study used quantitative approach with survey to collect data. Analysis used forecasting and linear programming method. This analysis was used to combine the right amount of products to get maximum benefit of CV Cipta Unggul Pratama. The results achieved in this research is to know the company in the form of barriers to raw material shortages of 875 m2, labor hours by 4,368 hours, demand forecasting as many as 230 pairs of school shoes, 344 pairs of sports shoes, 450 pairs of shoes and formal employment. The company also had to produce 230 pairs of school shoes, 344 pairs of sports shoes, 450 pairs of shoes and formal employment. Based on the results obtained, research suggested CV Cipta Unggul Pratama makes plans to increase production and to improve the company needs to expand its production or marketing of products territorial expansion.

scholarly journals Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment

The Winners ◽  
2013 ◽  
Vol 14 (2) ◽  
pp. 113
Author(s):  
Inti Sariani Jianta Djie
Keyword(s):  
Linear Programming ◽  
Linear Regression ◽  
Decision Tree ◽  
Production Capacity ◽  
Exponential Smoothing ◽  
Programming Method ◽  
Linear Regression Method ◽  
Moving Averages ◽  
Linear Programming Method ◽  
Naive Method

Primajaya Pantes Garment is a company that runs its business in garment sector. However, due to various numbers of requests each month, the company is difficult to determine the amount of production per month that is appropriate to maximize profits. The purpose of this study is to determine the appropriate forecasting method that can be used as a reference to determine the amount of production in the next period and to find a combination of products to maximize profits. Research used forecasting methods, including naive method, moving averages, weighted moving averages, exponential smoothing, exponential smoothing with trend, and linear regression. In addition, this study also used Linear Programming method with Simplex method to determine the best combination of products for the company and to choose a decision using a decision tree to determine which alternative should be done by the company. Results of this study found that the linear regression method is the most appropriate method in determining the forecast demand in the next period. While in the Linear Programming method, constraints used were the constraints of raw materials, labor hours, and limited demand for the product. The result of the decision tree is to increase production capacity.

scholarly journals Analysis of the Aggregate Heuristic Planning for Planning and Controlling the Amount of Production to Minimize Costs

2020 ◽  
Vol 1 (1) ◽  
pp. 1-12
Author(s):  
Riana Magdalena
Keyword(s):  
Mixed Method ◽  
Control Method ◽  
Production Capacity ◽  
Minimum Cost ◽  
Spare Parts ◽  
Production Costs ◽  
Total Production ◽  
Automotive Manufacturing ◽  
Labor Control

PT.XYZ is one of the companies engaged in the automotive manufacturing industy, where it produces spare parts for cars, motorcycles and trucks. Along with marketing and producing the products, PT.XYZ continues to implement customer satisfaction and the quality of spare parts produced.  The company must anticipate the possibility of production capacity limitations; this must be done as well as possible at the minimum cost. For that, the aggregate heuristic planning is proposed for planning the establishment of a level for production capacity to meet the level of demand obtained from orders with the aim of minimizing total production costs. Aggregate Planning is a process of determining the level of overall production capacity to meet the level of demand obtained from forecasting and order with the aim of minimizing the total cost of production. In this study, three heuristic methods were tried, namely labor control method, subcontracting mixed method, and overtime mixed methods. Based on the results of the study it is known that the subcontracting mixed method is the best method with total aggregate cost of IDR 3,080,689,770, then the labor control method with a total of aggregate cost of IDR 3,080,798,198 and the overtime  mixed  method, with a total  aggregate cost of  IDR 3,081,815,315. 

Maksimalisasi Keuntungan Dengan Pendekatan Metode Simpleks Kasus Pada Pabrik Sosis SM

Liquidity ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 59-65 ◽  
Author(s):  
Yanti Budiasih
Keyword(s):  
Linear Programming ◽  
Simplex Method ◽  
Optimal Combination ◽  
Optimal Input ◽  
Maximum Profit ◽  
Input Combination

The purpose of this study are to (1) determine the combination of inputs used in producing products such as beef sausages and veal sausage meatball; and (2) determine the optimal combination whether the product can provide the maximum profit. In order to determine the combination of inputs and maximum benefits can be used linear programming with graphical and simplex method. The valuation result shows that the optimal input combination would give a profit of Rp. 1.115 million per day.

Immaterial Cost and Production: Maximum Production Cost Level Through Marginal Approach

2020 ◽  
Vol 8 (2) ◽  
pp. 128-149
Author(s):  
Dini Maulana Lestari
Keyword(s):  
Quantitative Study ◽  
Marginal Cost ◽  
Production Cost ◽  
Maximum Level ◽  
Production Costs ◽  
Total Production ◽  
Sugar Factory ◽  
Maximum Production ◽  
Cost Approach ◽  
South Sulawesi

This paper will discuss about the immaterial costs and production yields at one of the refined sugar factory companies in Makassar, South Sulawesi. The theory is based on the fact that Immaterial is a cost that is almsgiving, meaning costs that are outside of the basic costs of the company in producing production, so this research aims to find out: (1) what is the production cost needed to produce this production, (2) the maximum level of production at company from 2013 to 2017. This type of research is a quantitative study because it uses a questionnaire in the form of values ​​that are processed using the marginal cost approach formula. The results of the analysis show that (1) the maximum level of production costs occurred in 2016 amounting to 6,912 with an Immaterial cost of Rp. 2,481,796,800 and the total production produced is 359,077.3 tons (2) The required workforce with the total production produced is 359,077.3 tones of 180 people including the maximum production point which means that the lowest value is achieved (optimal).    

MAKSIMASI KEUNTUNGAN USAHA PUKAT CINCIN DI NEGERI LATUHALAT PADA MUSIM TIMUR

2018 ◽  
Vol 2 (1) ◽  
pp. 22-32
Author(s):  
Willem Talakua ◽  
Eygner Gerald Talakua
Keyword(s):  
Linear Programming ◽  
Production Factors ◽  
Maximum Profit ◽  
Analysis Methods ◽  
Profit Analysis ◽  
Business Profit ◽  
Programming Analysis

The purpose of this study is to study the maximization of business profits through the determination of the optimal use of production factors in the trawl ring business in Latuhalat. Observations and direct interviews based on questionnaires were carried out on 3 fishermen who owned trawl ring businesses in 3 hamlets in Latuhalat. Data were analyzed using business profit analysis methods and linear programming analysis. The results showed that: 1). The optimal use of production factors for trawling by the respondents in Latuhalat is 41 - 45 trips in June using 15.2 - 21.1 liters of gasoline, 280.9 - 304.4 liters of gasoline, 10.1 - 21 , 2 liters of oil, using labor as much as 15-17 people for 8 hours / day, and using transportation and FAD services as much as 351.3 - 360 HOK or 8 hours per day; and 2). The maximum profit that can be obtained from trawling rings by respondents in Latuhalat is Rp. 165,545,500 - up to Rp. 184,800,000, - in June. To achieve this maximum profit, respondents need to produce 25,270.3 kg of fish to 27,540.98 kg in June.

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