• Title/Summary/Keyword: Palm Oil Industries

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Antecedents of Sustainable Competitive Advantages: A Case Study of Palm Oil Industries in Indonesia

  • HERIYANTO, Meyzi;FEBRIAN, Achmad Fajri;ANDINI, Frini Karina;HANDOKO, Tito;SURYANA, Dodi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.911-921
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    • 2021
  • Indonesian oil palm plantation industry has chance to increase a sustainable competitive advantage. The creation of a sustainable competitive advantage is determined by the ability of the palm oil industry to utilize limited resources and capabilities. The purpose of this study was to analyze the determinants of the creation of sustainable competitive advantage (SCA) in the palm oil industry in Riau, Indonesia. The model framework uses organizational-level SCA dimensions. Four dimensions are used to measure SCA in the palm oil industry in Riau, namely value, scarce resource, inability to replicate, irreplaceable. Questionnaires were distributed to oil palm industry players in Riau with 81 respondents. The analysis technique uses Structural Equation Model with Partial Least Square (SEM-PLS). The results showed that the SCA in the palm oil industry in Riau was at a moderate level. Although the competitive advantage of being sustainable in the palm oil industry in Riau is in the medium category, test results on SCA dimensions found that each latent variable forms a significant SCA framework with a reflective constructive relationship model. The three dominant and recommended dimensions that shape the construction of SCA in the palm oil industry are value, scarce resource, and irreplaceable.

Palm oil industry's bi-products as coarse aggregate in structural lightweight concrete

  • Huda, Md. Nazmul;Jumaat, Mohd Zamin;Islam, A.B.M. Saiful;Darain, Kh Mahfuz ud;Obaydullah, M.;Hosen, Md. Akter
    • Computers and Concrete
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    • v.19 no.5
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    • pp.515-526
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    • 2017
  • Recent trend is to use the lightweight concrete in the construction industry because it has several advantages over normal weight concrete. The Lightweight concrete can be produced from the industrial waste materials. In South East Asian region, researchers are very keen to use the waste materials such as oil palm shell (OPS) and palm oil clinker (POC) from the palm oil producing industries. Extensive research has been done on lightweight concrete using OPS or POC over the last three decades. In this paper the aggregate properties of OPS and POC are plotted in conjunction with mechanical and structural behavior of OPS concrete (OPSC) and POC concrete (POCC). Recent investigation on the use of crushed OPS shows that OPSC can be produced to medium and high strength concrete. The density of OPSC and POCC is around 20-25% lower than normal weight concrete. Generally, mechanical properties of OPSC and POCC are comparable with other types of lightweight aggregate concrete. It can be concluded from the previous study that OPSC and POCC have the noteworthy potential as a structural lightweight concrete.

Deep Learning-Based Short-Term Time Series Forecasting Modeling for Palm Oil Price Prediction (팜유 가격 예측을 위한 딥러닝 기반 단기 시계열 예측 모델링)

  • Sungho Bae;Myungsun Kim;Woo-Hyuk Jung;Jihwan Woo
    • Information Systems Review
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    • v.26 no.2
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    • pp.45-57
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    • 2024
  • This study develops a deep learning-based methodology for predicting Crude Palm Oil (CPO) prices. Palm oil is an essential resource across various industries due to its yield and economic efficiency, leading to increased industrial interest in its price volatility. While numerous studies have been conducted on palm oil price prediction, most rely on time series forecasting, which has inherent accuracy limitations. To address the main limitation of traditional methods-the absence of stationarity-this research introduces a novel model that uses the ratio of future prices to current prices as the dependent variable. This approach, inspired by return modeling in stock price predictions, demonstrates superior performance over simple price prediction. Additionally, the methodology incorporates the consideration of lag values of independent variables, a critical factor in multivariate time series forecasting, to eliminate unnecessary noise and enhance the stability of the prediction model. This research not only significantly improves the accuracy of palm oil price prediction but also offers an applicable approach for other economic forecasting issues where time series data is crucial, providing substantial value to the industry.

Institutional Strategy of Palm Oil Independent Smallholders: A Case Study in Indonesia

  • ANWAR, Khairul;TAMPUBOLON, Dahlan;HANDOKO, Tito
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.529-538
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    • 2021
  • This article aims to describe the institutional structuring strategy of independent smallholders in accelerating sustainable economic development, by taking the example of the cow-coconut integration system (SISKA) problem in Sialang Palas Village, Riau. The method used identified stakeholders related to SISKA; the stakeholder's goals and interests, farmers' social and institutional bases, and self-help farmer socio-economic networks. First, identification of various factors through strengths, weaknesses, opportunities, and threats (SWOT) analysis techniques. Second, through the Modern Political Economy analysis technique. Third, imparting knowledge and skills to the farmers and village officials through a collective learning process in utilizing natural resource waste and social resources. The results showed that the farmer management strategy in the reform era started by clustering the interests of farmers. The dynamics of structuring group relations between the chairman and members with farmers outside the group are the basis for strengthening the local ideology of independence in the future. This institutional structuring strategy that focuses on access to farm power in the village decision-making process encourages a more integrated work of farmer organizations. The analysis above shows that the independent smallholder institutional engineering through regulation, organization, and resources are determined by the farmer household economic factors and the application of the value of local wisdom.

Characteristics of Purified Horse Oil by Supercritical Fluid Extraction with Different Deodorants Agents

  • Anneke;Hye-Jin Kim;Dongwook Kim;Dong-Jin Shin;Kyoung-tag Do;Chang-Beom Yang;Sung-Won Jeon;Jong Hyun Jung;Aera Jang
    • Food Science of Animal Resources
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    • v.44 no.2
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    • pp.443-463
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    • 2024
  • This study investigated the impact of activated carbon, palm activated carbon, and zeolite on horse oil (HO) extracted from horse neck fat using supercritical fluid extraction with deodorant-untreated HO (CON) as a comparison. The yield and lipid oxidation of deodorant untreated HO (CON) were not significantly affected by the three deodorants. However, deodorant-treated HOs exhibited significantly elevated levels of α-linolenic acid (C18:3n3) and eicosenoic acid (C20:1n9) compared to CON (p<0.05), while other fatty acids remained consistent. Zeolite-purified HO demonstrated significantly lower levels of volatile organic compounds (VOCs) than other treatments (p<0.05). Remarkably, zeolite decreased the concentration of pentane, 2,3-dimethyl (gasoline odor), by over 90%, from 177.17 A.U. ×106 in CON to 15.91 A.U. ×106. Zeolite also effectively eliminates sec-butylamine (ammonia and fishy odor) as compared to other deodorant-treated HOs (p<0.05). Additionally, zeolite reduced VOCs associated with the fruity citrus flavor, such as nonanal, octanal, and D-limonene in HO (p<0.05). This study suggests that integrating zeolite in supercritical fluid extraction enhances HO purification by effectively eliminating undesirable VOCs, presenting a valuable approach for producing high-quality HO production in the cosmetic and functional food industries.