Development of Image Based Modeling for Determination of Oil Content and Days Estimation for Harvesting of Fresh Fruit Bunches

In this study, the relationship of oil extraction rate (OER) and fruit ripeness will be determined. The sample of oil palm fruits was collected from the unripe until the overripe stage and the oil content of the mesocarp for fresh fruit bunches (FFB) was extracted by using bunch analysis procedure to get the oil extraction rate. Using the same samples of FFB, the pixel value of images which measure in hue, was determined by developed image analysis software. The images were captured under an outdoor environment in an oil palm plantation. The sunlight intensity of environment was recorded using Extech light meter at various times of the day from morning to afternoon in the oil palm plantation. The result of the experiment that showed a good relationship was found between the oil content of FFB with its image pixel values. The mathematical model was developed in determining the optimum days for FFB harvesting.

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FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKTIVITAS TENAGA KERJA PEMANEN KELAPA SAWIT DI PT. PERKEBUNAN NUSANTARA III (PERSERO) MEDAN

Agricore: Jurnal Agribisnis dan Sosial Ekonomi Pertanian Unpad ◽

10.24198/agricore.v4i1.21901 ◽

2019 ◽

Vol 4 (1) ◽

Author(s):

Tennisya Febriyanti Suardi ◽

Trisna Insan Noor ◽

Iwan Setiawan

Keyword(s):

Palm Oil ◽

Oil Palm ◽

Work Motivation ◽

Descriptive Analysis ◽

Fresh Fruit ◽

Partial Least Square ◽

Least Square ◽

Oil Palm Plantation ◽

Fresh Fruit Bunches

AbstrakSektor perkebunan kelapa sawit memiliki nilai ekonomi tinggi sebagai penghasil minyak nabati yang paling banyak digunakan oleh masyarakat. Di perusahaan perkebunan kelapa sawit, aspek tenaga kerja langsung yang terlibat dalam proses produksi adalah pemanen kelapa sawit. Ini membutuhkan peningkatan produktivitas pemanen kelapa sawit untuk menghasilkan tandan buah segar berkualitas yang sesuai dengan tingkat pabrik kelapa sawit. Penelitian ini bertujuan untuk menganalisis menentukan produktivitas tenaga kerja pemanen kelapa sawit dan faktor-faktor yang mempengaruhinya serta pengaruh produktivitas panen terhadap kualitas tandan buah segar kelapa sawit. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan jumlah responden sebanyak 82 orang yang berprofesi sebagai pemanen kelapa sawit. Metode analisis menggunakan analisis deskriptif dan analisis PLS (Partial Least Square). Hasil penelitian menunjukkan bahwa produktivitas pemanen kelapa sawit berada dalam kategori sedang di mana ia bisa mendapatkan sebanyak 1700-2300 kilogram hasil per hari kerja. Faktor internal dan eksternal berpengaruh signifikan terhadap produktivitas pemanen. Faktor internal terbesar adalah motivasi kerja, sedangkan faktor eksternal terbesar adalah peluang untuk mencapainya. Kualitas tandan buah segar kelapa sawit di PT. Perkebunan Nusantara III (Persero) Medan dipengaruhi oleh produktivitas pemanen kelapa sawit.Kata kunci: produktivitas, kualitas, pemanen, kelapa sawit AbstractThe oil palm plantation sector has a high economic value as a producer of vegetable oil which is most widely used by the community. In an oil palm plantation company, the direct labor aspect involved in the production process is oil palm harvesters. This requires an increase in the productivity of oil palm harvesters to produce quality fresh fruit bunches that are in accordance with the grade of the palm oil mill. This study aims to analyze the determine labor productivity of oil palm harvesters and the factors that influence them and the effect of harvesting productivity on the quality of oil palm fresh fruit bunches. The research method used was descriptive quantitative with the number of respondents as many as 82 people who work as oil palm harvesters. The method of analysis uses descriptive analysis and PLS (Partial Least Square) analysis. The results of the study show that the productivity of oil palm harvesters was in the medium category where it can get as much as 1700-2300 kilograms of yield per working day. Internal and external factors have a significant effect on the productivity of harvesters. The biggest internal factor is work motivation, while the biggest external factor is the opportunity to achieve. The quality of palm oil fresh fruit bunches at PT. Perkebunan Nusantara III (Persero) Medan was influenced by the productivity of oil palm harvesters.Keywords: productivity, quality, harvesters, oil palm

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Potential Content of Palm Oil at Various Levels of Loose Fruit in Oil Palm Circle

Jurnal Agro Industri Perkebunan ◽

10.25181/jaip.v9i2.2161 ◽

2021 ◽

pp. 91-98

Author(s):

Fitrah Murgianto ◽

Edyson Edyson ◽

Adhy Ardiyanto ◽

Shadiar Kesuma Putra ◽

Lilik Prabowo

Keyword(s):

Palm Oil ◽

Oil Palm ◽

Oil Content ◽

Fresh Fruit ◽

Ripe Fruit ◽

Palm Fruit ◽

Palm Trees ◽

Fresh Fruit Bunches ◽

Potential Content ◽

Important Activity

Harvesting fresh fruit bunches (FFB) is an important activity in the oil palm plantation industry. This study aimed to analyze the potential content of palm oil at the level of loose fruit that falls on the oil palm circle. Observations were made on five fresh fruit bunches with criteria 1, 3, and 5 respectively loose fruit per bunch that falls on the oil palm circle from oil palm trees that were 22, 16, 12, and 7 years old. All sample fresh fruit bunches were analyzed for potential oil to bunch and oil to wet mesocarp in the analytical laboratory of Bumitama Gunajaya Agro. Content of oil to wet mesocarp in loose fruit 1, 3, and 5 were 48,50 % b, 51,98 % a, and 53,21 % a respectively. While the content of oil to bunch in loose fruit 1, 3, and 5 were 24,19 % a, 25,52 % a, and 25,71 % a respectively. The highest potential for oil content occurs in ripe palm fruit with a level of loose fruit 5 grains per bunch that falls on that oil palm circle. Five grains per bunch on the oil palm circle can be used as an indicator for harvesters to harvest ripe fruit with optimal oil content.

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HUBUNGAN ANTARA DIAMETER BATANG DENGAN UMUR TANAMAN TERHADAP PERTUMBUHAN DAN HASIL TANAMAN KELAPA SAWIT

BUANA SAINS ◽

10.33366/bs.v17i1.577 ◽

2017 ◽

Vol 17 (1) ◽

pp. 43 ◽

Cited By ~ 2

Author(s):

Vika Yudistina ◽

Mudji Santoso ◽

Nurul Aini

Keyword(s):

Oil Palm ◽

Small Diameter ◽

Fresh Fruit ◽

Stem Diameter ◽

Plant Oil ◽

Palm Trees ◽

Plant Maintenance ◽

Fresh Fruit Bunches ◽

Relationship Of ◽

The Relationship

Oil palm is a plant which is quite important commodities in Indonesia and still have a fairly bright development prospects Production of fresh fruit bunches (FFB) is the result of work activities in the field of plant maintenance. The success of FFB production depends by several factors, including environmental factors, the crop factor and factor cultivation purpose of this study was to determine and learn the age and size of the trunk palm trees both in achieving production, and Knowing how the relationship between stem diameter and plant age with results production of fresh fruit bunches (FFB). This study used 75 samples are grouped according to the age of the plant that is 2 years, 4 years, 6 years, 8 years and 10 years. Each sample was observed with 7 parameter pengamatanDari results of this study can be concluded that the larger the diameter of the stem of the plant oil palm as well as the age tanama or rather would affect positively correlated or significantly affected the production of oil palm plantation itself. All variables observation showed positive correlation with stem diameter relationship of age with less plant oil palm plantations. But there was one that did not happen correlation / negative correlations were age first fruit the size of a small diameter This is due to many factors such as rainfall is high enough to some areas or plantations are often flooded by rainwater, farming areas mostly are the tidal rivers, especially in 8 years old plantation blocks and handling of the plantation itself is still lacking.

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ANALISIS TATANIAGA TANDAN BUAH SEGAR KELAPA SAWIT DI DESA TEMPAKAN KECAMATAN BATU ENGAU KABUPATEN PASER (Marketing Analysis of Fresh Fruit Bunches of Oil Palm in Tempakan Village, Batu Engau Subregency, Paser Regency)

JURNAL AGRIBISNIS DAN KOMUNIKASI PERTANIAN (Journal of Agribusiness and Agricultural Communication) ◽

10.35941/jakp.2.2.2019.2686.113-120 ◽

2019 ◽

Vol 2 (2) ◽

pp. 113

Author(s):

SIMON SUTRADO SIMANJUNTAK ◽

ACHMAD ZAINI

Keyword(s):

Oil Palm ◽

Sampling Method ◽

Marketing Channel ◽

Marketing Channels ◽

Fresh Fruit ◽

Snowball Sampling ◽

Level Zero ◽

Average Share ◽

Marketing Analysis ◽

Fresh Fruit Bunches

The purposes of this study were to know marketing channel, marketing margin, share, and marketing profit of fresh fruit bunches of oil palm in Tempakan Village, Batu Engau Subregency, Paser Regency. The study was conducted from June to August 2016. The sampling method was done with two ways as random sampling in farmer level and in marketing channel as snowball sampling. Data analysis were done by calculating marketing margin, share, and marketing profit. The results of this study showed that there are two marketing channels in reserach location are channel of level zero and channel of level one. Marketing margin in farmer level was Rp40.39 kg-1 and margin in whole trader level was Rp314.44 kg-1. The average share of farmer level was 97.58% and in trader level was 81.48%. Margin and share that profitable for farmer is at channel of level zero. The average of profit in whole trader level of fresh fruit bunches was 112.75%, that meant marketing by whole trader is profitable.

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Tauke and Emotional Network Model in Oil Palm Marketing: Getting Fresh Fruit from Smallholders in Indonesia

Journal of Southwest Jiaotong University ◽

10.35741/issn.0258-2724.55.4.66 ◽

2020 ◽

Vol 55 (4) ◽

Author(s):

Rizabuana Ismail ◽

Slamet Haryono ◽

Ira Maya Sofa Harahap ◽

Ria Manurung

Keyword(s):

Oil Palm ◽

Marketing Channel ◽

Marketing Channels ◽

Fresh Fruit ◽

Network Marketing ◽

Marketing Model ◽

Marketing Models ◽

Cash Payment ◽

Fresh Fruit Bunches ◽

Depth Interviews

This article describes how fresh fruit bunches grown by oil palm smallholders are incorporated into oil palm marketing models in Indonesia. This emotional network marketing model is a supplementary model of marketing models in Malaysia which is called factory centered and middleman model. This research uses a descriptive qualitative method. The data was collected by conducted in-depth interviews with 28 informants coming from 4 (four) categories of oil palm smallholders: oil palm tauke (middleman) that included big tauke and small tauke, workers in the loading ramps, and workers in the oil palm factories who were involved in oil palm marketing channels. The result of the research showed that the oil palm marketing channel between smallholders and either small tauke and big tauke was based on an emotional network with a strong bond of friendship, brotherhood, dwelling location, cash payment, giving loan with reasonable requirements, and providing transportation for fresh fruit bunches. In contrast, oil palm marketing channel among smallholders, loading ramp buyers, and POF was based on regulations. This writing presented a different perspective of oil palm marketing channels in general by involving the emotional network of the existing actors for getting fresh fruit bunches and the advantages of oil palm marketing. In this marketing model, there is a longer marketing channel and actors with their varied roles.

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IMPLEMENTASI JARINGAN SYARAF TIRUAN (JST) DAN PENGOLAHAN CITRA UNTUK KlASIFIKASI KEMATANGAN TBS KELAPA SAWIT

Komunikasi Fisika Indonesia ◽

10.31258/jkfi.15.1.36-45 ◽

2018 ◽

Vol 15 (1) ◽

pp. 36

Author(s):

Minarni Minarni ◽

Roni Salumbae ◽

Zilhan Hasbi

Keyword(s):

Oil Palm ◽

Color Space ◽

Human Perception ◽

Image Data ◽

Cost Effective ◽

Fresh Fruit ◽

Human Vision ◽

Palm Fruit ◽

Color Parameters ◽

Fresh Fruit Bunches

The clasification of ripeness stages of oil palm fresh fruit bunches (FFBs) can be done using color parameters. These parameters are often evaluated by human vision, whose degree of accuracy is subjective which can cause doubt in judgement. Automatic clasifications offreshfruit bunches (FFBs) based on color parameters can be done using computer vision. This method is known as a nondestructive, fast and cost effective method. In this research, a MATLAB computer program has been developed which consists of RGB and HSV GUI which is used to record, display, and process FFB image data. The backpropagation artificial neural network (ANN) program is also developed which is used to classify the oil palm fruit fresh bunches (FFBs). Samples are fresh fruit bunches (FFB) of oil palm varieties of Tenera which comprise of Topaz, Marihat, and Lonsum clones. Each clone composed of three levels of ripeness represented by five fractions. The measurements were started by capturing images of oil palm, extracting RGB and HSV values, calculating weight values from the image database to make anANN program, preparing grid programs for oil palm FFBs, and comparing grading levels of oil palm FFBs using program and by harvester. This program successfully classified oil palm (FFBs) into three categories of ripeness which are unripe (F0 and F1), ripe (F1 and F1) and over ripe (F4 and F5). The RGB and HSV programs successfully classified 79 out of 216 FFBs or 36.57% and 106 out of 216 TBS or 49.07%. Respectively the HSV program is better than RGB program because the representation of HSV color space are more understood by human perception hence can be used in calibration and color comparison.

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