Penilaian 5s Pada Lantai Produksi Pabrik Kelapa Sawit di Aceh Tamiang

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Anizar ◽  
Benny R Simbolon
Keyword(s):  
Palm Oil ◽  
Visual Display ◽  
Working Environment ◽  
Check List ◽  
Crude Palm Oil ◽  
Production Time ◽  
Factory Production ◽  
Good Score ◽  
Palm Oil Mill ◽  
Fresh Fruit Bunches

Penelitian ini bertujuan menganalisa penerapan 5S pada pabrik kelapa sawit di Aceh Tamiang yang mengelola crude palm oil(CPO) dan kernel dari tandan buah segar (TBS). Kondisi lingkungan kerja pada lantai produksi pabrik kelapa sawit tersebut kurang bersih dan tidak tertata dengan rapi. Terdapatnya tumpukan limbah, genangan air di lantai, peralatan yang tidak tersusun dan tumpukan sampah menyebabkan operator kurang leluasa untuk beraktifitas sehingga berpengaruh terhadap efisiensiwaktu produksi. Metode yang dipergunakan untuk menyelesaikan masalah tersebut adalahmelakukan penilaian 5S meliputi Seiri, Seiton, Seiso, Seiketsu Dan Shitsuke. Penilaian dilakukan dengan pengamatan langsung ke lantai produksi, membuat lembaran check list yang berisi butir pertanyaan untuk ditanyakan kepada pekerja, mengisi lembaran scoring, membuat catatan temuan, dan menentukan kriteria terhadap evaluasi penerapan 5S. Hasil pengamatan menunjukkan bahwa 5S belum diterapkan sepenuhnya pada lantai produksi pabrik. Seiri mendapat nilai cukup baik Sedangkan Seiton, Seiso, Seiketsu, Shitsuke mendapat nilai yang buruk. Perbaikan dapat dilakukan dengan memberi label pada barang, menentukan tanggung jawab kebersihan dan inspeksi, membuat visual display, dan memberi pelatihan 5S kepada pekerja.   This study aims to analyze the 5S implementation of a palm oil mill in Aceh Tamiang that manages crude palm oil (CPO) and kernels from fresh fruit bunches (FFB). The working environment on the palm oil mill's production floor is not clean and not neatly arranged. There is a pile of waste, puddles on the floor, equipment that is not arranged and a pile of rubbish, causing operators to be less flexible in their activities, which affects the efficiency of production time. The method used to solve this problem is to carry out 5S assessments including Seiri, Seiton, Seiso, Seiketsu and Shitsuke. Assessment is carried out by observing directly to the production floor, making a check list sheet containing questions to be asked to workers, filling out scoring sheets, making notes of findings, and determining criteria for evaluating 5S implementation. The results of the observations indicate that 5S has not been fully implemented on the factory production floor. Seiri gets a pretty good score While Seiton, Seiso, Seiketsu, Shitsuke get bad grades. Improvements can be made by labeling goods, determining cleaning and inspection responsibilities, making visual displays, and providing 5S training to workers.

scholarly journals INSTABILITAS RENDEMEN CPO PADA INDUSTRI MINYAK SAWIT [CPO Yield Instability on Palm Oil Industry]

2018 ◽  
Vol 23 (2) ◽  
pp. 82
Author(s):  
Fradana Subagya ◽  
Endy Suwondo
Keyword(s):  
Palm Oil ◽  
Raw Materials ◽  
Oil Industry ◽  
Causative Factor ◽  
Production Equipment ◽  
Influential Factor ◽  
Crude Palm Oil ◽  
Palm Oil Mill ◽  
Fresh Fruit Bunches

The problem faced by the palm oil industry today is the instability of the Crude Palm Oil (CPO) yield.  The condition of Fresh Fruit Bunches (FFB) starting from the time of harvesting to transporting to the factory, including during stockpiling at the palm oil mill, is an influential factor affecting the yield of CPO.  This study aimed to find the factors causing instability of CPO yield in the palm oil industry.  I-MR control maps and fishbone diagrams were used to analyze the factors that cause low CPO yields.  From the data analysis for three years, the evidence of CPO yield was not statistically controlled.  The causative factor of CPO yield instability included the quality of raw materials, production equipment, character of workers, and environmental conditions, with the dominating factor was the low quality of raw materials.

scholarly journals The Efficiency of Melanoidin Based-Waste Degradation with Different Biological Methods

2020 ◽  
Vol 7 (2) ◽  
pp. 52-60
Author(s):  
Hafizh Zahra ◽  
Ilham Kurniawan ◽  
Abdurrahman Hakim
Keyword(s):  
Organic Matter ◽  
Palm Oil ◽  
Liquid Waste ◽  
Crude Palm Oil ◽  
Phenolic Components ◽  
Palm Oil Mill ◽  
To Come ◽  
Fresh Fruit Bunches ◽  
Waste Degradation ◽  
Biological Methods

Each processing palm fresh fruit bunches (FFB) into Crude Palm Oil (CPO) will produce solid and liquid waste. One of the forms of liquid waste produced is Palm Oil Mill Effluent (POME). POME waste can cause problems for the environment because it has physical characteristics of dark brown color, high density, rich in organic matter, and bad smell. The POME waste color is thought to come from melanoidin, a biopolymer pigment produced by the Maillard reaction of coconut processing. Apart from melanoidin, phenolic components are detected in POME waste, where this group of compounds is toxic. Several studies have shown that Lactobacillus plantarum can reduce the color of POME by 75%. The decolorization process is thought to involve an enzyme as a waste color-changing agent. However, the efficiency associated with these events has not been further investigated. There are three main methods of melanoidin degradation, such as biological, physicochemical, and enzymatic. This study uses the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyzes) approach in creating a short, concise, and clear summary through various references.

scholarly journals Synthesis of Fe and Zn Organic Fertilizer From Palm Oil Waste

2020 ◽  
Vol 3 (2) ◽  
pp. 57
Author(s):  
Lelita Rosanna Banjarnahor ◽  
Siti Rahmah ◽  
Marini Damanik ◽  
Moondra Zubir
Keyword(s):  
Palm Oil ◽  
Organic Waste ◽  
Positive Impact ◽  
Organic Fertilizer ◽  
Palm Kernel ◽  
Oil Industry ◽  
Crude Palm Oil ◽  
Kernel Oil ◽  
Palm Oil Mill ◽  
Fresh Fruit Bunches

Indonesia has been placed as the world's first producer of crude palm oil and crude palm oil.  In producing crude palm oil (CPO) and palm kernel oil (PKO), the palm oil industry relies heavily on processing fresh fruit bunches (FFB) at palm oil mills (POM) and is traded internationally. However, this process also produces solid organic waste [  i.e. empty bunches (EFB)], which reach up to 25 %% of FFB.  The analysis shows that the application of empty bunches as organic fertilizer has not been able to increase the amount of nutrients in palm oil leaves and increase palm oil production.  Application of palm oil mill effluent which is able to increase the amount of nutrients in palm oil, especially nitrogen and phosphate, and a positive impact to increase the production of oil palm plantations, especially on productivity (tons / ha).

scholarly journals Optimization and analysis for palm oil mill operations via input-output optimization model

2019 ◽  
Vol 268 ◽  
pp. 02006
Author(s):  
Steve Z. Y. Foong ◽  
Viknesh Andiappan ◽  
Raymond Tan ◽  
Denny K. S. Ng
Keyword(s):  
Palm Oil ◽  
Economic Performance ◽  
Operating Time ◽  
Palm Kernel ◽  
Milling Process ◽  
Input Output ◽  
Labor Costs ◽  
Range Analysis ◽  
Palm Oil Mill ◽  
Fresh Fruit Bunches

A typical palm oil mill produces crude palm oil, crude palm kernel oil and other biomass from fresh fruit bunches. While the milling process is well established in the industry, insufficient research and development has been done on analyzing the operational performance of a mill. Factors such as operating time and fruit availability affect the performance of a palm oil mill (e.g., capital, operating and labor costs). This paper presents an input-output model to optimize the operations of a palm oil mill based on maximum economic performance. Following this, feasible operating range analysis (FORA) is performed to study the utilization and flexibility of the process. A palm oil mill case study in Malaysia is used to illustrate the proposed approach. Based on the optimized results, it was found that 37% reduction in capital cost and 49% increase in economic performance is achieved. Meanwhile, the utilization index of the mill during peak season increases from 0.48 to 0.76.

scholarly journals Postharvest Fruit Detachment in Oil Palm Bunches with Ethephon and Ethylene Gas Application

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1030
Author(s):  
Arutchelvam Balakrishnan ◽  
Mohd Ibnur Syawal Zakaria ◽  
Bee Aik Tan ◽  
Jaime Yoke Sum Low ◽  
Shwu Fun Kua ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Free Fatty Acids ◽  
Palm Oil ◽  
Oil Palm ◽  
Room Temperature ◽  
Indirect Method ◽  
Production Systems ◽  
Oil Quality ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunches

The processing of oil palm fresh fruit bunches (FFB), together with loose fruits, in the current mill operation contributes to oil loss and high free fatty acids (FFA), affecting crude palm oil quality. Fruit detachment induced by ethephon and ethylene may mitigate the current processing issues. This study shows that a 0.50% (v/v) ethephon application by the evaporation method induced the highest fruit detachment of 30.8 ± 1.1% after 24 h at room temperature, with the FFA content in the extracted crude palm oil at 0.34 ± 0.09%. Ethephon application was effective on bunches between 14 and 28 kg, and fruit detachment was higher in ripe and underripe bunches at 24.1 ± 0.9% and 23.2 ± 0.1%, respectively. A significant fruit detachment of 47.2 ± 2.4% was achieved when the bunches were also stripped mechanically, but the FFA content increased almost 4-fold, from 1.0 ± 0.2% to 3.8 ± 1.2%. The application of ethylene gas at 750 ppm yielded 29.4 ± 1.9% fruit detachment. The findings present the possibility of using ethylene as an indirect method for minimizing oil loss without increasing the FFA content in future crude palm oil production systems.

scholarly journals Ripeness Level Classification of Oil Palm Fresh Fruit Bunch Using Laser Induced Fluorescence Imaging

2019 ◽  
Vol 8 (3) ◽  
pp. 84-89
Author(s):  
Hefniati Ishak ◽  
Minarni Shiddiq ◽  
Ramma Hayu Fitra ◽  
Nadia Zakyyah Yasmin
Keyword(s):  
Fluorescence Imaging ◽  
Palm Oil ◽  
Oil Palm ◽  
Laser Light ◽  
Laser Induced Fluorescence ◽  
Fresh Fruit ◽  
Human Vision ◽  
Imaging Method ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunches

Tingkat Kematangan Tandan Buah Segar (TBS) kelapa Sawit merupakan faktor penentu kualitas crude palm oil (CPO) yang dihasilkan pabrik kelapa sawit. Metode penyortiran TBS setelah panen atau sebelum memasuki proses perebusan pada umumnya dilakukan secara manual mengandalkan penglihatan dan pengalaman. Metode ini rentan kesalahan dan bersifat subyektif. Metode pencitraan berkembang sangat cepat karena kemajuan dalam bidang komputer dan teknik pengolahan citra, khususnya untuk sistem sortasi dan grading. Penelitian ini mengunakan metode pencitraan fluoresensi yang diinduksi laser untuk mengakses dan mengklasifikasi tingkat kematangan TBS kelapa sawit. Hubungan antara tingkat keabuan dan tingkat kekerasan buah TBS dianalisa. Sampel terdiri dari 27 TBS kelapa sawit varietas Tenera. Tingkat kematangan dikategorikan oleh pemanen berpengalaman menjadi mentah, matang, dan lewat matang. Tiga bagian TBS yaitu pangkal, tengah, dan ujung disinari laser dioda 640 nm mengenai 5 buah pada tiap bagian. Kemudian citra direkam mengunakan kamera CMOS monokrom. Selanjutnya 15 buah tersebut diuji tingkat kekerasan mengunakan penetrometer. Klasifikasi tingkat kematangan dilakukan mengunakan K-mean clustering. Hasil penelitian memperlihatkan bahwa metode pencitraan fluoresensi yang diinduksi laser potensial digunakan dalam mengklasifikasi tingkat kematangan TBS. Tingkat kekerasan buah berkorelasi positif terhadap tingkat keabuan citra TBS. K-mean clustering memperlihatkan tiga kelompok tingkat kematangan yang terdiri dari 0, 1 dan 2. Ripeness levels of oil palm fresh fruit bunches (FFB) are the main factor to determine the quality of crude palm oil (CPO) produced by Oil Palm Mill. Sorting oil palm FFB after harvest or before entering the boiling process is generally done manually which relies on human vision and experience. Imaging methods has developed vastly due to advances in computer and image processing techniques. This study used a laser-induced fluorescence imaging to access and classify the ripeness levels of oil palm FFB of Tenera variety. The relationship between gray value and the level of firmness of FFB fruit was analyzed. The samples consisted of 27 oil palm FFB categorized  by experienced harvester as unripe, ripe, and overripe. Laser light was shone on equatorial part of each FFB such that 5 fruitlets were covered by laser light, then the image of the front part was acquire using a monochrome CMOS camera. The step was repeated for basil and apical parts in sequent. All 15 fruitlets were testing for the firmness level using a penetrometer. Ripeness level classification was done using K-mean clustering. The results showed that the laser-induced fluorescence imaging method are potential to be used to determine the ripeness levels of FFB. The fruit firmness is positively correlated with the gray value of the image of FFB. K-mean clustering shows three ripeness centroid of 0, 1 and 2 . Keyword: Fluorecence Imaging, Oil Palm, Fresh Fruit Bunches, Firmness, Laser Induced Fluorecence

scholarly journals KORELASI KADAR UNSUR HARA DAUN KELAPA SAWIT TERHADAP KADAR MINYAK SAWIT MENTAH

2019 ◽  
Vol 3 (1) ◽  
pp. 18-26
Author(s):  
Ika Ucha Pradifta Rangkuti ◽  
Mardiana Wahyuni
Keyword(s):  
Palm Oil ◽  
Nutrient Content ◽  
Crude Palm Oil ◽  
Processing Data ◽  
Fruit Maturity ◽  
Fresh Fruit Bunches ◽  
Main Component ◽  
The Relationship ◽  
Fruit Formation

Mesocarp or fruit flesh is the main component of the cultivation of oil palm which is extracted to Crude Palm Oil (CPO). The amount of CPO produced from processing in palm oil mills is influenced by the quality of Fresh Fruit Bunches (FFB). Some factors that influence the quality of FFB are the type of crossing, plant age, maintenance level and fraction of fruit maturity. Adequacy of nutrients N, P, K, and Mg play a role in fruit formation and are expected to increase levels of CPO. In connection with this matter, research on the relationship / nutrient correlation with CPO content is needed. This research was conducted in October 2017 - March 2018 in the field with land suitability classes S1 (Maradja Hill), S2 (Limau Mungkur), S3 (Bah Birung Ulu) and STIPAP LPP Medan Practice Gardens. Processing data with single and multiple linear regression. Leaf samples were analyzed with the Sochlet apparatus in STIPAP Processing Laboratory. In general, the average nutrient content of leaves N, P, K were the normal category and nutrient Mg, Cl were deficiency category. The level of CPO (oil / mesocarp) varies from 31.14% - 59.59%. With single nutrient regression N, P, K, Cl has a positive correlation with CPO levels while Mg is negatively correlated. Multiple regression analysis of nutrient N, P, K, Mg and Cl has significant effect on O / N with a correlation coefficient of 0.744.

scholarly journals Efficiency and Marketing Margins Estimation of Oil Palm’s Fresh Fruit Bunches (FFB) in Labuhanbatu Utara and Asahan Regency

2019 ◽  
Vol 2 (2) ◽  
pp. 8-17
Author(s):  
Petrus Oktavianus Hutajulu ◽  
Diana Chalil ◽  
Surya Abadi Sembiring
Keyword(s):  
Palm Oil ◽  
Composite Index ◽  
Secondary Data ◽  
Marketing Channel ◽  
Marketing Channels ◽  
Fresh Fruit ◽  
Index Method ◽  
Palm Oil Mill ◽  
Fresh Fruit Bunches ◽  
Marketing Margins

This research study has reported different profit margin of smallholders in Labuhan Batu and Asahan which can be due to production’s cost incurred by smallholders. In addition, the price of fresh fruit bunches (FFB) of oil palm offered by eachtrader is also found different. This could be the differences in efficiency and the length of marketing channels traversed by partner and non-partner samllholders. The length of marketing chain was transferred to the marketing costs incurred and the margins received, so there is share for each marketing. Therefore such study is needed to estimate the marketing margins and channels of non-partner smallholders, partner smallholders, and explasma smallholders, the marketing functions carried out by each palm oil marketing channel in Kuala Hulu, factors that help samllholders choose marketing channels, increase marketing and the efficientcy of non-partner samllholders, partner smallholders, and explasma smallholders. The data used in this study are primary as well as secondary data. The analytical method used in the Shepperd’s Method, Acharya and Anggarwal’s Method, Composite Index Method, Marketing efficiency index method and Soekartawi Method. The analysis shows that there are 2 marketing channels, identified as Channel 1 : Smallholders-Middleman_RAM-Palm Oil Mill and Channel 2 : Smallholders-Middleman-Palm Oil Mill. The study has concluded that all smallholders do selling, transporting, standardization, risk bearing, and securing market information. Regular customer, services, contracts are figured out as the major reasons marketing agents choose marketing channels. The most efficient marketing channel is partner independent samllholders with the shortest channel.

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