scholarly journals ANALISIS PENGARUH MODAL DAN TENAGA KERJA KERJA TERHADAP PRODUKSI KELAPA SAWIT PADA PT. GRUTI LESTARI PRATAMA MEDAN

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>

Polymers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1865
Author(s):  
Rida Tajau ◽  
Rosiah Rohani ◽  
Mohd Sofian Alias ◽  
Nurul Huda Mudri ◽  
Khairul Azhar Abdul Halim ◽  
...  

In countries that are rich with oil palm, the use of palm oil to produce bio-based acrylates and polyol can be the most eminent raw materials used for developing new and advanced natural polymeric materials involving radiation technique, like coating resins, nanoparticles, scaffold, nanocomposites, and lithography for different branches of the industry. The presence of hydrocarbon chains, carbon double bonds, and ester bonds in palm oil allows it to open up the possibility of fine-tuning its unique structures in the development of novel materials. Cross-linking, reversible addition-fragmentation chain transfer (RAFT), polymerization, grafting, and degradation are among the radiation mechanisms triggered by gamma, electron beam, ultraviolet, or laser irradiation sources. These radiation techniques are widely used in the development of polymeric materials because they are considered as the most versatile, inexpensive, easy, and effective methods. Therefore, this review summarized and emphasized on several recent studies that have reported on emerging radiation processing technologies for the production of radiation curable palm oil-based polymeric materials with a promising future in certain industries and biomedical applications. This review also discusses the rich potential of biopolymeric materials for advanced technology applications.


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>


2017 ◽  
Vol 7 (2) ◽  
pp. 201
Author(s):  
Saut H Siahaan

Downstream palm oil industry development through concept application of cluster in North Sumatra province is become the hope of government to increase added value and competitiveness of product, but whether this concept can boost the competitiveness of the palm oil industry, remains a challenge. This is mainly related to the diversity of actors in the supply chain industry and competition in a global market that include environmental aspects. Therefore, industry cluster analysis from perspective of the supply chain of palm oil processing industry to be interesting. This study uses a qualitative exploratory approach, and primary data obtained by in-depth interviews of actors in the supply chain of palm oil processing industry in North Sumatra province in 2013 up to 2015. The analysis showed that smallholder plantations have a considerable contribution in supplying raw materials Fresh Fruit Bunches (FFB) for palm oil processing industry, hence the existence of smallholder plantations can not be excluded in the development of downstream palm oil industry. Furthermore, the results of this study also indicate that they need to encourage the establishment of governance structures industry palm oil supply chain, improvement strategies, distribution, and justice so that the distribution of benefits for the actors in the supply chain can be awakened. In this regard, efforts to promote sustainable plantation industry business is still very necessary, especially to preserve biodiversity and benefit all actors in the supply chain of palm oil industry.


2021 ◽  
Vol 4 (1) ◽  
pp. 26-33
Author(s):  
Sani Shehu ◽  
Mohd Afandi Salleh ◽  
Edy Fitriawan Syahadat

The oil palm plantation can be found throughout West Africa and palm oil has contributed significantly towards the Nigerian exports. However, the palm oil industry in Nigeria was declining to 36.4% in 1969 and 13.2% in 1974 in spite of being the largest global exporting country at the beginning of 20th Century. Since then, domestic consumption has increased, slow growth in palm oil production and low output was delivered. The equipment of production is considered obsolete, the plantations are aging, the technology access is very little, and financing is insufficient. This indicated a threat and inefficiency of Nigerian palm oil industries to cater for the needs of people regardless of the increase in oil demand locally as the  palm kernel oil is becoming important food and raw materials. Due to this problem, Nigeria remained to receive palm oil from Malaysia even though the seedlings was originated from Nigeria. Other large importers include from Benin, Ghana, Ivory Coast and Togo. This issue has caused Palm oil production in Nigeria to be more expensive and not competitive if compared to other countries like Malaysia and Indonesia. Hence, the objective of this paper explores the challenges facing palm oil industry in Nigeria using qualitative data through document and thematic analysis. The semi-structured interview was analysed by utilizing Atlas ti 8 software. The findings of the paper shows that there are challenges facing palm oil industry in Nigeria such as lack of good planting materials, poor funding, improper milling and lack of technology. From this, it is confirmed that there are numerous challenges facing palm oil industry in Nigeria which requires aids from the government from allocation of huge amount of its budget to agriculture and establish better policies for the palm oil industry that will attract more public and private investment. Keywords: Oil Palm, Palm Oil, Palm Oil industry in Nigeria, Challenges  


2013 ◽  
Vol 65 (7) ◽  
pp. 773-781 ◽  
Author(s):  
Seyed Ehsan Hosseini ◽  
Mazlan Abdul Wahid

2018 ◽  
Vol 2 (1) ◽  
pp. 61
Author(s):  
Rahmat Wahyudi Nasution ◽  
Taufik Djatna

Palm Oil Mill Effluent (POME) produced by the Palm Oil Mill as a waste is now being used as a medium for cultivating microalgae for bio-oil raw materials. However, the bio-oil production process from POME raw materials is still limited to lab scale. Therefore, in this project, the analysis of bio-oil production system from microalgae for the development of existing production system. In this paper, the optimization model of bio-oil production from microalgae biomass is simulated into Digital Business Ecosystem (DBE) concept then analyzed to related stakeholders in system and interaction of each process or between fellow stakeholders. And the results are defined in the form of Information Communication and Technology (ICT). The method used for this DBE concept is Unified Modeling Language (UML) which is use case diagram and Business Process Model and Notations (BPMN) diagram. And to predict an increase in yield by using ARM (Association Rule Mining). The results of this study are shown in the use case diagram and BPMN consisting of five communities, namely raw materials community, cultivation community, harvesting community, extraction community and quality control (QC). The process of production and storage of the resulting data is illustrated in the BPMN diagram. In this paper the association rule is used to explore the relationship pattern between Cell Density attributes, Lipid Content and Light Intensity. The integration of association rule with a priori paradigm has succeeded in finding 34 rules with 11 valid rules top rank which have lift > 1 of relation between attributes


2020 ◽  
Vol 8 (2) ◽  
pp. 103
Author(s):  
Nur Syahdi

The results showed that the SOP used was the SOP in the simplest form which only had a few activities and decision making. In the production process there are five stages carried out during the production process, namely, preparing raw materials, stirring the dough into a mixer, the process of rolling bread, the process of developing bread and the process of developing the dough ready to bake. Here the raw materials in the form of main raw materials namely wheat flour, capital in the form of owner's personal capital, machines in the form of tools used during the production process and work force are very influential during the production process because workforce is the main actor in the production of bread king. As one of the kingpin bread businesses in Samarinda, it is expected that the staff of the kingpin bread must continue to improve and maintain the quality of the production produced, that is bread kingpin and still maintain the quality of human resources namely labor. The most important thing must not be forgotten is that labor is a very very important factor of production in every production process that should be a benchmark to find out whether the system implemented has been implemented properly.


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


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.


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