Palm Oil Processing Research Articles

Socio-economic Determinants of Adoption of Oil-palm Processing Technologies in Oguta Local Government Area of Imo State, Nigeria

Socio-economic Determinants of Adoption of Oil-palm Processing Technologies in Oguta Local Government Area of Imo State, Nigeria

Quality assessment of artisanal palm oil from smallholders in the department of Man, western region of Côte d'Ivoire

In the western region of Côte d'Ivoire, more particularly from the department of Man, artisanal crude palm oil enjoys a reputation for quality among consumers and is the subject of a developed trade. To guarantee consumers quality palm oil, it is crucial to register this product as a Geographical Indication artisanal palm oil. This study aims to evaluate the physicochemical properties of this artisanal palm oil to better understand his quality. A descriptive survey of palm oil processing was conducted among 200 smallholders in 10 localities in the department of Man, Western region of Côte d'Ivoire. Then, samples were collected from the producers and were taken to the laboratory for analysis. The physicochemical properties of CPO samples were determined using standard analytical method. The results showed that manual processing and screw hand press methods were used for palm oil extraction. About 58% of the processors have 11-20 years’ experience in oil palm processing and have no formal education (48.2%). Concerning the physicochemical quality of artisanal palm oil producing, the lipid oxidation, carotenoids contents, DOBI, slip melting point, iodine and saponification indexes were relatively conformed to the standard while FFA, moisture and impurities content were different. These results demonstrate a need for monitoring of artisanal palm oil production by smallholders in the sector who should adopt good agricultural practices.

Seasonal price variation analysis of palm oil: case study of Nigeria (2016–2022)

To enhance the benefits derived from palm oil processing by the farmers, there is a need for the producers (farmers) and buyers of palm oil to understand the seasonal price for making informed decisions on when to buy and sell the commodity. In order to determine price at the appropriate time of the season, the study looked at the seasonal price variation analysis of palm oil and the relationship between producers and buyers. This was done by understanding buyers’ requirements, producers’ effort, measurements taken, and contracting with buyers’ credit from customers. A multiphase sampling strategy was used. Organized interviews and questionnaires were utilized to collect primary data, while the National Bureau of Statistics provided secondary time series data on the average monthly retail price of palm oil from 2016 to 2022. The need for bio-fuel, production growth, governmental regulations, market dynamics, and the seasonality of palm oil products are then identified by the study as important factors influencing palm oil price fluctuation throughout the year. The study then suggests that there’s a need for economic diversification to reduce reliance on a single sector. This study will serve as a basis for future research on palm oil price variation analysis.

ANALYZING THE IMPACT OF INDONESIAN SUSTAINABLE PALM OIL (ISPO) CERTIFICATION AND THE FACTORS THAT INFLUENCE CRUDE PALM OIL (CPO) EXPORTS VOLUME

This study examines the impact of Indonesian Sustainable Palm Oil (ISPO) certification on Indonesian Crude Palm Oil exports and other factors, such as commodity production and prices, exchange rates, and production levels. The data covers total CPO volume (HS codes 15111000 and 15119000) from January 2006 to December 2022, focusing on ISPO certification for large State-owned and Private Enterprises in palm oil cultivation and processing. The analysis employs the Difference-in-Differences (DID) method and multiple linear regression (MLR) to identify the linear relationship between the dependent and independent variables. The DID analysis revealed that Indonesian CPO production and global CPO prices significantly affected CPO export volumes, while soybean oil prices and effective exchange rates were not statistically significant in the regression model. The results provide valuable insights for policymakers and industry stakeholders in developing strategies that support sustainable growth, enhance competitiveness, and maintain Indonesia's leading position in the global palm oil market. Policymakers should focus on encouraging broader adoption of ISPO among palm oil producers through incentives, training, and technical support, especially for smaller producers.

Effect of Effluents Produced from Palm oil Processing Industries on Fish Production around Bugala Island, Kalangala District, Uganda

Effect of Effluents Produced from Palm oil Processing Industries on Fish Production around Bugala Island, Kalangala District, Uganda

Design and Application Prototype of soft starting Three-Phase AC Motor by Using Analog Electronics Control for Teaching Aids of Power Electronics Practice

In general, palm oil processing factories, from fresh fruit bunches to Crude Palm Oil, require three-phase electric motors to drive or rotate it. The problems that often arise when using three-phase electric motors simultaneously in large numbers will result in very large surges in the electric current, which can affect the performance of electronic devices. To overcome this problem, a prototype of a three-phase AC voltage regulator circuit was made by adjusting the SCR triggering delay angle using an analog electronics equipment control that can be used for three-phase motor soft start applications in a palm oil factory. This prototype will be used as a learning tool for the practical for Aceh Polytechnic students for power electronics courses. This system is built with a method where the three-phase source is first lowered using a transformer arranged in a star on the primary and secondary sides, then each voltage is compared to the ground using an IC LM324, which aims to produce pulses wave. This pulse then connected to a triangular wave generator circuit, this triangular wave is then compared with the DC source voltage from the potentiometer, which aims to regulate the SCR triggering angle of SCR via MOC3063 driver, where the load used is resistive and connected in a star. The measurement using an oscilloscope and observing the change of triggering angle for several variations of each phase, the different Vrms voltage between measurements compared to mathematical analysis influenced by several factors, including, the transformer is made of three transformers that not identically, the electronic components used are not in ideal condition, and observations on the oscilloscope are carried out visually using the eye and manually adjusting the potentiometer rotation so that the level of measurement accuracy between one person and another will produce different values.

Characterization of a Polyphenol Oxidase and Lipase Produced by Microbes Derived from Palm Oil Sludge

Introduction: The waste-to-wealth concept was applied in this study. Our main objective was to identify and evaluate several microorganisms responsible for the production of important industrial enzymes using sludge from palm oil processing. We were able to isolate several bacteria that are tyrosinase producers: Bacillus cereus, Acinobacter seifertii, Klebsiella variicola and Pseudomonas stutzeri. Laccase producers Trametes polyzona, Bacillus subtilis, Bacillus pumilus and Staphylococcus condimenti, as well as lipase producers. Methods: In addition, we focused specifically on B. cereus because we knew that it produces tyrosinase. Lipase is another target enzyme, and S. condimenti was found to be a hyperproducer. Production conditions included a 24-hour incubation period at 40°C and a pH of 6.0, while typical substrates such as starch and coconut oil were used. Results: Preliminary protein purification studies identified a 43 kDa lipase that is active at pH 7.0 and 40°C. Salts such as NaCl, various detergents such as Triton X-100 and Tween-80 as well as many metal ions enhanced the activity and made the enzyme unique in its biological function. Conclusion: Even with EDTA (2.5 mM), which does not completely block its function, only 40% inhibition was observed. Only a few organic solvents such as butanol, acetone and DMF are involved in inhibiting its activity.

Renewable Energy Development Through the Utilization of Palm Oil Mill Effluent (POME) in Indonesia

Abstract This study aims to analyze renewable energy development through the utilization of palm oil waste. Indonesia has significant potential for energy development, particularly from palm oil processing waste, including biomass and biogas energy sources. This study used the qualitative method to provide an overview of the development of scientific research with the theme of renewable energy through the utilization of palm oil waste. The data source was obtained by accessing journals in the Scopus database between 2015 and 2024, with a total of 342 articles. The data is then evaluated with VOS viewer. It was found that palm oil has great potential as renewable energy resources, alternative fuels, electric generator, and for sustainable energy. However, the challenge is related to the understanding of the technology and existing policies. Indicates limitations in the adoption of POME for renewable energy in Indonesia. This study was limited to the articles only from Scopus database. Future studies need to take a comparative analysis approach that uses the Web of Science (WoS) database.

Risk Analysis of Conveyor Material Handling in the Production Process of Crude Palm Oil and Palm Kernel Oil with FMECA and FTA Methods

Oil palm is one type of plantation crop that occupies an important position in the agricultural sector and the plantation sector, and is a mainstay commodity of Indonesia whose development is very rapid. Good Material Handling is minimizing material handling costs, minimizing disruption or risk and delays in the production process. One of the companies engaged in the palm oil industry is PT. BSI which is a company engaged in the palm fruit processing industry. The products produced are crude palm oil (CPO), kernel, and fiber which implement a material handling system. However, the material handling process that is applied still experiences disturbances whose risks have an impact on the production process. So that researchers want to know the value of material handling risks that occur at PT.BSI with FMECA and FTA methods. The results of this study are at the risk identification stage using the FMECA method obtained six lists of risks that have an RPN value above 200 this is included in the very high and Unacceptable category. Then after further analysis using the FMECA method also that the six risks have decreased where the RPN value is less than 180 so that it is included in the high and tolerable categories. Then for the FTA analysis that the problem of these risks, namely conveyor trips and conveyor blockages, needs to be checked on a regularly scheduled conveyor leaf and implement a routine maintenance schedule and provide training to operators before carrying out work.

Pengaruh Variasi Ukuran Partikel pada Pembuatan Bio-Briket dari Pelepah dan Tandan Buah Kosong Kelapa Sawit

Palm oil empty fruit bunches (EFB) and fronds are solid waste originating from palm oil processing which can be used as the main raw material for making briquettes. This is supported by its contents, namely lignin, hemicellulose and cellulose. The smaller the particle size, the greater the compressive strength of the briquette, but the burning rate will be slower because the cavity/pores of the briquette are smaller. This research aims to determine the effect of particle (mesh) size on the characteristics of briquettes which include water content, ash content, density, compressive strength and burning rate as well as to determine the best composition of a mixture of empty oil palm fruit bunches and fronds. The results of this research show that the best particle size is 70 mesh briquettes with a raw material composition of 46% EFB and 46% fronds (1:1) with 8% tapioca flour adhesive. Biobriquettes with small particle sizes have lower calorific value. The results of this research indicate that the manufacture of briquettes is in accordance with the Standard Characteristics of SNI No. 1/6235/2000.

Recovery of bioactive compounds from oil palm waste using green extraction techniques and its applications

SummaryOil palm (Elaeis guineensis) is a major oil crop that significantly contributes to the Indonesia's and Malaysia's economic growth. However, oil palm processing for oil extraction generates substantial waste, such as palm kernel cake, palm‐pressed fibre, oil palm empty fruit bunches and palm oil mill effluent, which pose noticeable environmental challenges. This review explores green extraction techniques for palm waste processing, which include microwave‐assisted extraction, deep eutectic solvents, ultrasound‐assisted extraction, supercritical fluid extraction, enzyme‐assisted extraction and subcritical water extraction. The potential for industry scaling, mechanisms, applications and challenges of each technique used for oil palm waste are discussed. Microwave‐assisted extraction, ultrasound‐assisted extraction and supercritical fluid extraction are particularly promising for large‐scale production, while deep eutectic solvents paired with ultrasound‐assisted extraction show the potential to improve extraction efficiency. This review also reveals that green extraction techniques are sustainable alternative to conventional techniques by effectively recovering valuable compounds from waste with reduced environmental impact. Additionally, the diverse applications of bioactive compounds (vitamin E, phytosterols, phenolics, polyphenols and flavonoids) extracted from oil palm waste in food, pharmaceutical, cosmetic and other industries are also presented. Valuable components such as cellulose, dietary fibres and bioactive peptides derived from the waste can be applied in food coatings, high‐protein products and drug delivery systems. Biosorbents, biofuels and biodegradable products derived from the waste would also provide environmental benefits. Future research should focus on optimising the green extraction techniques for industrial use to promote responsible production and circular waste management to foster health and environmental safety.

Palm Oil (Elaeis guineensis): A Journey through Sustainability, Processing, and Utilization.

Palm oil, derived from Elaeis guineensis, is a critical component of the global edible oil and industrial fat market. This review provides a comprehensive overview of the sustainability of the palm oil chain, focusing on industrial applications, environmental implications, and economic sustainability. The processing of palm oil, from fruit pulp to refined oil, is detailed, highlighting the importance of refining in maintaining quality and extending application ranges. While palm oil offers health benefits because of its rich fatty acid composition and antioxidant properties, its production poses significant environmental challenges. This review underscores ongoing efforts to balance technological and culinary demands with environmental stewardship and sustainable economic growth. Emerging trends, including interspecific hybrids such as E. guineensis and E. oleifera, are discussed for their potential to increase sustainability and productivity.

Enhancing Energy Efficiency and Mitigating Environmental Degradation through Anaerobic Co-digestion of Palm Oil Mill Effluent and Solid Residues

The utilization of palm oil mill residues for sustainable biogas production presents a promising avenue to mitigate environmental challenges associated with waste disposal and energy demand in palm oil processing. The study explores the use of palm oil mill residues for sustainable biogas production, focusing on the impact of mixing ratios of POME and three raw milled residues on biogas yield through anaerobic co-digestion. Results indicate that co-digestion significantly enhanced biogas production compared to mono-digestion of POME alone. The highest biogas yield of 370 ml was recorded in the digester with 40% residues followed by 50% with a cumulative biogas of 190 ml. The two digesters were higher than 80 ml recorded for POME alone. The findings underscore the potential of integrating palm oil mill residues into biogas systems to achieve dual objectives of waste management and renewable energy generation

THE EFFECTS OF NaClO2 AND H2O2 AS BLEACHING AGENTS IN THE SYNTHESIS OF CELLULOSE ACETATE FROM OIL PALM EMPTY FRUIT BUNCH

Indonesia is one of the largest palm oil-producing countries in the world. The results of palm oil processing produce a lot of waste, such as oil palm empty fruit bunches (OPEFB). The utilization of OPEFB in Indonesia is minimal, so it needs further development. OPEFB has a very high α-cellulose content, so that it can be used as raw material for manufacturing cellulose acetate. Making cellulose acetate from OPEFB consists of three main steps: delignification, bleaching, and acetylation. This study aims to compare the effects of the concentration of NaClO2 or H2O2 in the bleaching process on the physical properties of cellulose acetate from OPEFB. In the delignification process, 100 mesh-sized OPEFB powder is reacted with 5% sodium hydroxide (NaOH) at 100oC for 2 hours. The residue from deliglinfication was washed using distilled water until pH 7, filtered using filter paper, and dried using an oven at 50oC. The next step is the bleaching process using NaClO2 or H2O2 with concentration variations (1%, 2%, 3%, 4% and 5%). The bleaching process was carried out at 90oC for 1.5 hours. After filtration, the bleached residue was washed using distilled water until pH 7, filtered using filter paper, and dried using an oven at 50oC. After the bleaching process, α-cellulose powder was produced. The next step is acetylation, containing three main steps. The first step is the reaction between α-cellulose powder with acetic acid (CH3COOH) and sulfuric acid (H2SO4) at 40oC for 1.5 hours to perform activation. The second step is the addition of anhydrous cellulose in a ratio of 1:10 and mixed at 40oC for 1.5 hours. The third step is the addition of distilled water, acetic acid, and sodium acetate (CH3COONa) at 40oC for 5 minutes. Then, followed by filtration, the residue was washed using distilled water and methanol until pH 7 and dried at 50oC. The best result is using NaClO2 as a bleaching agent with a concentration of 2%, resulting in cellulose acetate yielding 98.85%, density of 1.954 g/mL, and L value of 91.897 for colorimetric test results. The density and L-value were close to commercial cellulose acetate (Sigma Aldrich). From the results of FTIR analysis, it can be concluded that the acetylation of α-cellulose into cellulose acetate has been successful, as evidenced by the formation of carbonyl groups (C=O).

Prediksi Jumlah Produksi Kelapa Sawit di Indonesia Menggunakan Algoritma Backpropagation

Indonesia is a country that has advantages in the agricultural sector which has the largest plantation and agricultural areas in ASEAN, one of which is oil palm plantations. Indonesia is one of the largest crude palm oil (CPO) business players in the world. More and more palm oil mills and oil palm land are being converted to oil palm cultivation, because oil palm plantations are more beneficial for farmers and palm oil processors. Palm oil plantations are still trying in several ways to maintain stable market demand, one of which is by increasing palm oil production, because palm oil is the main source of other product derivatives. Palm oil production fluctuates every month, but the ups and downs are caused by many factors, namely climate, rainfall, soil fertility, selling prices, and others. Reduced production has a direct impact on the income of farmers and workers in the sector, which in turn can cause economic instability. Actions are needed to ensure the continuity of this industry, one of which is by making predictions. One prediction technique is the Backpropagation artificial neural network. The prediction model can provide very accurate estimates of palm oil production at the provincial level. By analyzing historical data, this research can identify patterns that can help predict future palm oil production. The urgency lies in the strategic role of palm oil in the Indonesian economy.

Detection of new oil palm fruit bunches based on deep learning

Abstract The Indonesian oil palm plantation experiences a production rate of fresh fruit bunches and crude palm oil (CPO) influenced by the quality of fruits with excellent and uniform maturity accepted by the palm oil processing factory. The uniformity of fruit quality produced from the harvesting process through fruit maturity criteria, namely fractions 00, fraction 1, fraction 3, and fraction 4, necessitates the need for maturity detection based on deep learning with a pre-trained YOLOv5 model capable of detecting the maturity of new oil palm fruit bunches. The aim is to develop a deep learning-based maturity detection model based on visual images and analyse the deep learning algorithm’s performance by classifying the maturity level of new oil palm fruit bunches. The method collects a dataset of new oil palm fruit bunches with 4180 images. The collected dataset will be annotated with Roboflow, so the annotation results will undergo training, validation, and testing processes using the deep learning script. The result obtained for the data found to detect the ripeness levels of Fresh Fruit Bunches (FFB), shows that the YOLOv5 model demonstrates strong performance with an accuracy reaching 72.5% in testing, which falls into the category of fair annotation. These results indicate that the system created and used is functioning well.

Analysis of palm oil raw material supplies to support sustainable economic strategies at PT Perkebunan Nusantara VIII Bogor Regency

Abstract Palm oil is a very important plantation commodity, its availability is the main source for palm oil production. Therefore, raw material supplies are an effort to support the availability of palm oil raw materials. PT Perkebunan Nusantara VIII. Companies need to pay attention to the quality of raw materials and procurement to achieve maximum production goals. Factors determining success in procuring raw materials are important, such as transportation, as well as fluctuations in raw material prices in the sustainability of processing palm oil fresh fruit bunches. This research aims to analyze factors that influence the supply of palm oil raw materials. The sample used in this research is simple random sampling. The analysis technique used is multiple linear regression. The research results show that 80% of the variables of raw material prices, raw material sources and transportation influence the supply of palm oil raw materials.

Selected Physical, Mechanical and Chemical Properties of Fresh Fruit Bunches for Processing of Palm Oil

Data on engineering properties of palm fruits enable the design of machinery for optimal production of palm oil. Specific physical, chemical, and mechanical characteristics of fresh fruit bunches are examined in this study. Fresh palm fruit's selected mechanical, chemical, and physical characteristics were determined using standard formulas and equations. One hundred fresh fruit bunch samples were used to ascertain the physical characteristics of the fruit bunches. While the chemical properties were ascertained using suggested standard equations and formulae, the fresh fruit bunches were tested for their strength properties under compression when loaded under an INSTRON Universal Testing Machine. Using the Microsoft Excel program, statistical analysis was performed on the collected data. The average length, breadth, thickness, geometric mean, sphericity, surface area, true mass, true volume and true density mean for palm fruits were 3.35±0.48 cm, 1.92±0.32 cm, 2.24±0.33 cm, 2.42±0.25 cm, 0.73±0.08 cm, 18.61±3.62 cm2, 7.99±1.81 g, 7.01±1.72 cm3, 1.17±0.24 g/cm3 respectively. The average static coefficient of frictions for palm fruits were 0.46±0.13, 0.64±0.18, 0.57±0.21 and 0.59±0.22 while the average angle of reposes was 24.48±6.08, 31.62±9.14, 29.26±6.80, and 29.91±9.11 on wood, mild steel, glass and stainless-steel surface respectively. The energy at break, force at break, deformation at break, strain at break, and stress at break for the palm fruits were 6.87±0.95 J, 2.22±0.80 kN, 14.58±3.02 mm, 0.36±0.08 mm/mm and 123.46±44.31 MPa respectively. The moisture, ash, fat, crude fibre, crude protein, and carbohydrate contents (proximate composition) of the palm fruits were 22.80±0.02%, 0.52±0.01%, 46.47±0.06%, 18.66±0.01%, 2.4±0.21%, and 9.14±0.30% respectively. The sodium, potassium, calcium, magnesium, iron, phosphorus and zinc contents of the palm fruits were 58.75±0.07 ppm, 94.20±0.14 ppm, 68.45±0.64 ppm, 5.21±0.00 ppm, 1.22±0.00 ppm, 1.60±0.00 ppm and 55.70±0.28 ppm respectively. This study has provided relevant information which will help engineers to develop a more efficient palm fruit extraction machines that will in turn increase the productivity and profitability of the farmers and food processors. These measured engineering properties of palm fruits help in development of palm fruit processing machines.

Analisis Kinerja Mesin Sterilizer (Rebusan) Menggunakan Metode Overall Equipment Effectiveness (OEE) di PTPN V Sei Buatan

Sterilizer (boiling) machines are important in palm oil production in the palm oil processing industry. This study analyzes the performance at PTPN V Sei Buatan using the Overall Equipment Effectiveness (OEE) method. Observation and production data were used to calculate OEE, showing that the machine experienced significant downtime and low performance efficiency and product quality. Improvement recommendations, including routine maintenance, better maintenance scheduling, and operator training, are proposed to improve machine performance. The OEE method helps identify areas of improvement to increase operational efficiency and productivity at PTPN V Sei Buatan.

Characteristics of Pumice from Cicurug and Its Application as a Bleacher for Crude Palm Oil

Pumice is relatively abundant in Indonesia, especially in Cicurug District, Sukabumi. Pumice has unique characteristics, so it has the potential to be an alternative bleaching agent or a bleacher for crude palm oil. Bleaching is one of the stages in processing crude palm oil into palm cooking oil. In the cooking oil industry, the bleaching of crude palm oil generally uses bentonite as a bleacher. This research aims to determine the characteristics of pumice and the optimum conditions for the bleaching process of crude palm oil with pumice as a bleacher. The research method consists of pumice activation, activated pumice characterization, degumming of crude palm oil, bleaching of crude palm oil, and analysis of processed palm oil. The results show that the metal oxide composition in activated pumice is dominated by silica (62.99%) and alumina (14.79%) and has a non-uniform pore size distribution. Optimum bleaching conditions are achieved when using 30% pumice and a bleaching temperature of 105 oC for 30 minutes. Under optimal bleaching conditions, pumice can reduce the color brightness level of crude palm oil from 600 to 125 mg/L Pt, or a bleaching power of 79.2%.