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

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.

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)

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.

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.

scholarly journals STUDI PERBANDINGAN RANTAI PEMASARAN TANDAN BUAH SEGAR KELAPA SAWIT DI DESA JONGGON KABUPATEN KUTAI KARTANEGARA

2020 ◽  
Vol 5 (02) ◽  
pp. 142-150
Author(s):  
Ahmad Reza Vahlevi ◽  
Ernita Obeth ◽  
Budi Winarni ◽  
Budi Winarni
Keyword(s):  
Supply Chain ◽  
Palm Oil ◽  
Oil Palm ◽  
Marketing Channel ◽  
Fresh Fruit ◽  
Raw Material ◽  
Crude Palm Oil ◽  
Oil Processing ◽  
Cooperative Processing ◽  
Fresh Fruit Bunches

This research is motivated by oil palm farmers, which is in contrast to the high demand for fresh fruit bunches, as the main raw material for producing crude palm oil. On the other hand, oil palm smallholders are also involved in several different supply chains. The purpose of this study was to determine the management of fresh fruit bunches  marketing and the amount of profit received by farmers through the marketing of oil palm fresh fruit bunches  in Jonggon Village, Kutai Kartanegara Regency. The analytical method used is descriptive quantitative and marketing margin analysis. The method of determining respondents used purposive sampling method and the respondents in this study were plasma and non-plasma farmers, collector traders and plasma cooperatives, and crude palm oil processing factories owned by PT. Niaga Mas Gemilang in Jonggon Village, Kutai Kartanegara Regency. The results of the respondents' research are in 2 running marketing channels, namely the first marketing channel, namely farmer-cooperative-processing factory, and the second one is farmer-trader-processing factory. Farmers involved in the first supply chain get a profit of Rp. 900 / kg and the farmers involved in the second supply chain get a profit of Rp. 1070 / kg.

scholarly journals The marketing channels for fresh fruit bunches at farmers palm oil plantation

2020 ◽  
Vol 16 (4) ◽  
pp. 139-144
Author(s):  
Sumitro Sarkum ◽  
Novilda Elizabeth Mustamu ◽  
Gomal Juni Yanris
Keyword(s):  
Palm Oil ◽  
Field Research ◽  
Marketing Channel ◽  
Research Field ◽  
Marketing Channels ◽  
Fresh Fruit ◽  
Primary Data ◽  
Price Fluctuations ◽  
Marketing Function ◽  
Fresh Fruit Bunches

The aim of this study is to determine the marketing channels for Fresh Fruit Bunches (FFB) of palm oil plantations of farmers in Labuhanbatu Regency, which are carried out by traders, causing price fluctuations. The research method was based on library research, field research and qualitative analysis of primary data collected through interviews with a number of farmers, collector traders, and palm oil mills in Labuhanbatu and surrounding areas. The results of this study showed the real price fluctuations in the FFB trade in Labuhanbatu Regency, while the marketing function of farmers and the supply chain showed the same thing, even though they had different expenses for that function. Whereas the share margin found in the findings of this study was 62% with a marketing efficiency level of 30%. The study also found that FFB marketing channels in Labuhanbatu District had eight channel levels, but this research only confirmed one level, namely the third marketing channel. Thus, this study suggests that follow-up research will explore the remaining seven channels with similar and different topics and issues.

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

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.

Towards improving oil palm fresh fruit bunches yield in Malaysia: a system dynamics approach

2018 ◽  
Vol 13 (2) ◽  
pp. 167
Author(s):  
M. Faeid M. Zabid ◽  
Shri Dewi Applanaidu ◽  
Norhaslinda Zainal Abidin
Keyword(s):  
System Dynamics ◽  
Oil Palm ◽  
Fresh Fruit ◽  
Fresh Fruit Bunches

Ripeness Detection of Oil Palm Fresh Fruit Bunches Using 4-Band Sensors

2013 ◽  
Vol 19 (12) ◽  
pp. 3468-3472 ◽  
Author(s):  
Osama Mohamed Ben Saeed ◽  
Abdul Rashid Mohamed Shariff ◽  
Ahmad Rodzi B. Mahmud ◽  
Helmi Zulhaidi Mohd Shafri ◽  
Meftah Salem Alfatni ◽  
...  
Keyword(s):  
Oil Palm ◽  
Fresh Fruit ◽  
Fresh Fruit Bunches

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

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