scholarly journals Pollutant in palm oil production process

2013 ◽  
Vol 65 (7) ◽  
pp. 773-781 ◽  
Author(s):  
Seyed Ehsan Hosseini ◽  
Mazlan Abdul Wahid
2019 ◽  
Vol 255 ◽  
pp. 02001 ◽  
Author(s):  
Inyang John ◽  
Andrew-Munot Magdalene ◽  
Syed Shazali Syed Tarmizi ◽  
Johnathan Tanjong Shirley

This paper reviews key production process for crude palm oil and highlights factors that highly influence the production of crude palm oil. This paper proposes a generic conceptual model for crude palm production process considering these factors. The conceptual model could be modified to consider other factors not included in this paper. The future research would be to construct a simulation model based on the conceptual model proposed in this paper and analyse the effect of these factors on the performance of crude palm oil production system.


2020 ◽  
Vol 7 (3) ◽  
pp. 483
Author(s):  
Tundo Tundo ◽  
Shofwatul 'Uyun

<p>Penelitian ini menerangkan penerapan <em>decision tree</em> J48 dan REPTree dengan menggunakan metode <em>fuzzy Tsukamoto</em> dengan objek yang digunakan adalah penentuan jumlah produksi minyak kelapa sawit di perusahaan PT Tapiana Nadenggan dengan tujuan untuk mengetahui <em>decision tree</em> mana yang hasilnya mendekati dari data sesungguhnya sehingga dapat digunakan untuk membantu memprediksi jumlah produksi minyak kelapa sawit di PT Tapiana Nadenggan ketika proses produksi belum diproses. Digunakannya <em>decision tree</em> J48 dan REPTree yaitu untuk mempercepat dalam pembuatan <em>rule </em>yang digunakan tanpa harus berkonsultasi dengan para pakar dalam menentukan <em>rule</em> yang digunakan. Dari data yang digunakan akurasi dari decision tree J48 adalah 95.2381%, sedangkan akurasi REPTree adalah 90.4762%, akan tetapi dalam kasus ini <em>decision tree</em> REPTree yang lebih tepat digunakan dalam proses prediksi produksi minyak kelapa sawit, karena di uji dengan data sesungguhnya pada bulan Maret tahun 2019 menggunakan REPTree diperoleh 16355835 liter, sedangkan menggunakan J48 diperoleh 11844763 liter, dimana data produksi sesungguhnya sebesar 17920000 liter. Sehingga dapat ditemukan suatu kesimpulan bahwa untuk kasus ini data produksi yang mendekati dengan data sesungguhnya adalah REPTree, meskipun akurasi yang diperoleh lebih kecil dibandingkan dengan J48.</p><p><em><strong>Abstract</strong></em></p><div><p><em>This study explains the application of the J48 and REPTree decision tree using the fuzzy Tsukamoto method with the object used is the determination of the amount of palm oil production in the company PT Tapiana Nadenggan with the aim of knowing which decision tree the results are close to the actual data so that it can be used to help predict the amount palm oil production at PT Tapiana Nadenggan when the production process has not been processed. The use of the J48 and REPTree decision tree is to speed up the rule making that is used without having to consult with experts in determining the rules used. From the data used the accuracy of the J48 decision tree is 95.2381%, while the REPTree accuracy is 90.4762%, but in this case the REPTree decision tree is more appropriate to be used in the prediction process of palm oil production, because it is tested with actual data in March 2019 uses REPTree obtained 16355835 liters, while using J48 obtained 11844763 liters, where the actual production data is 179,20000 liters. So that it can be found a conclusion that for this case the production data approaching the actual data is REPTree, even though the accuracy obtained is smaller compared to J48.</em></p></div><p><em><strong><br /></strong></em></p>


2021 ◽  
Vol 11 (3) ◽  
pp. 1046
Author(s):  
Angel Darío González-Delgado ◽  
Andrés F. Barajas-Solano ◽  
Jeffrey Leon-Pulido

The African palm is the main source of vegetable oil worldwide, representing about 29.60% of the total oil and fat production around the world. The rapid expansion of this sector has faced several concerns related to environmental and social aspects that have driven the search for sustainable alternatives. In this work, the inherent safety analysis and sustainability evaluation for the crude palm oil production process was performed using the inherent safety index (ISI) method and the sustainable weighted return on investment metric (SWROIM), respectively. The process was designed for a processing capacity of 30 t/h of palm bunches and under North-Colombian conditions. Three technical indicators were considered to evaluate the process sustainability including exergy efficiency, potential environmental impacts output (PEI output), and the total inherent safety index (ITI). The economic factor is directly considered since the SWROIM is an extension of the conventional return on investment (ROI). The resulting ITI at 11 indicated an inherently safe process, and the highest risk was observed for the process equipment safety subindex. The SWROIM reached a higher value (53%) compared to the conventional ROI (49.39%), which suggests positive impacts on sustainability. The novelty of this work lies in detecting the inherent risks and providing a decision making criteria for this project through a complete evaluation that relates economic, energy, environmental, and safety criteria.


2021 ◽  
pp. 15-25
Author(s):  
Afriany ◽  
Rubianto Pitoyo

Efficiency is the important things in production process. Some production factors as labor, materials, and machinery must be calculate accurately. The purpose of this research is for analyzing the influence of raw palm oil and Biofuel prices against crude palm oil production. Sample in this research is time series data that specialized production data, The technique analysis is using analysis of multiple linier regression. The results from analysis show correlation between raw palm oil and biofuel prices with crude palm oil production is 57.1 %, The relationship between raw palm oil against crude palm oil production have significant effect and biofuel prices against crude palm oil production have no significant effect. Based on the results of F test there are the significant influence between raw palm oil and biofues prices against crude palm oil production. finding in this research is PT. Wilmar using 3 type of fuel for production process, petroleum, biofuel and waste of raw palm oil production which makes biofuel prices have no effect on crude palm oil production


2015 ◽  
Vol 1 (1) ◽  
pp. 124
Author(s):  
Rianto Rianto

<p>Needs of optimal capital and skilled labor plays an important role in carrying out the production process. Factors palm oil production is crucialn for manufacturers producing cooking oil, butter and other manufacturers mainly use raw materials from palm oil almost of the producers are located in the region of North Sumatra. The use of capital and labor effective and efficient will result in optimal production of palm oil. The use of capital and labor in the production process of palm oil at PT. Gruti Pratama Lestari significant effect on production. Economic indicators that affect the level of production is investment/capital, labor and technology advancement. Capital formation, the material in the form of machines, tools and equipment as well as improving the quality of human resources is seen as a major factor in the economic development that will lead to the full utilization of economic resources available. The use of more advanced technology will create efficiencies in production that ultimately result in increased production. PT. Gruti Pratama Lestari is one of the private plantations producing palm oil fresh fruit bunches (FFB) in North Sumatra. The presence of all these companies was instrumental in improving the region's economic growth, apart from an increase inrevenue (PAD) can also create new jobs for the society in general as well as surrounding communities in particular. To support the palm oil production process PT. Gruti Pratama Lestari in need of capital and labor. The results of the analysis of data with simultaneous test shows that capital and labor are very significant influence on the production of palm oil PT. Gruti Pratama Lestari at 95% confidence level. The results of the analysis with partial test shows that capital very significant influence on the production of palm oil, and labor have a significant effect on the production of palm oil at 95% confidence level. Judging from the use of factors of production to the production of capital turned out to be more dominant than labor. This means that the use of capital has more influence on the increase in palm oil production than labor. Standardized Coeffecients capital of .0915% and the Standardized Coeffecients work force by 0132 against the production of palm oil, a much greater capital than labor means that PT. Gruti Pratama Lestari using capital-intensive technology.</p>


2020 ◽  
Vol 856 ◽  
pp. 119-127
Author(s):  
Sakultala Wannapakhe

The objectives of this research is developed the fuel briquette compression machine and studied the properties of fuel briquette of palm residue from a community palm oil production process in Thailand. The palm residue from a community palm oil production process had a palm meat and a mixed fiber. It was a material for testing. The fuel briquette has the standard shape. Because palm meat and fiber are tough to make fuel therefore the design and building of fuel briquette compression machine were hydraulic system. The fuel briquette compression machine was developed to be easy to use and increase production rate of fuel briquette. The fuel briquette compression machine from palm residue was divided of 3 Hp motor, hydraulic pump, cylinder, and forming mold set. The ratios of ingredients for testing of fuel briquette extrusion (palm residue : water : cassava starch) were 1:1:1, 2:1:1, 3:1.5:1, and 4:1.5:1 kg. The experimental pressures were 108, 147 and 196 N/cm2. From the result, it was found that the production rate of fuel briquette was higher than S. Wannapakhe (2018)’s. The properties of fuel briquette were passed the standard except the property of density value that was near the standard. The highest of production rate by using pressure, was 20 kg/cm2 at the ratio of ingredients of 4:1.5:1 kg.


Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.


2017 ◽  
Vol 10 (1) ◽  
pp. 24
Author(s):  
Nurliza Nurliza ◽  
Eva Dolorosa

Palm oil is currently the most widely used vegetable oil in the world and its usage is also expected to double by 2020. However, there are some social and environmental impacts of palm oil plantation. Some complications resulted from the plantation may go as far as mass objections to the production of palm oil. On the contrary, demand for palm oil is still vast and constantly rising. In Indonesia, independent small farmers are the most important stakeholders since they are 43% of the whole Indonesian palm oil producers and have become the biggest spotlight of Indonesian palm oil development, including challenges and problems in which they will have to face to substantially increase their role in the global market as well as maintaining sustainability. Challenges today need to be engaged with innovation and inventions in a more productive and effective way. Enhancing independent small farmers will not only enlarge their contribution to sustainability practices, but also ensuring the sustainable products supplied to the market. Thus, supporting sustainable palm oil production is the way forward. Based on this current issue, this research identifies key point relationships (direct and indirect) on sustainable development factors which are based on Indonesian Sustainable Palm Oil Certification System (ISPO), these identified key points will be the primary target to be improved and government support in fostering the sustainability of palm oil industry will be profoundly necessary.


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