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All Journal Jurnal Penelitian Kelapa Sawit
Ayu Wulandari
Indonesian Oil Palm Research Institute
Agriculture, Biological Sciences & Forestry

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Analisis Sebaran Serabut Vaskular dan Sifat Fisis Batang Kelapa Sawit Varietas DxP pada Berbagai Zona dan Ketinggian Batang Ayu Wulandari; Erwinsyah Erwinsyah
Jurnal Penelitian Kelapa Sawit Vol 28 No 1 (2020): Jurnal Penelitian Kelapa Sawit
Publisher : Pusat Penelitian Kelapa Sawit

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1224.804 KB) | DOI: 10.22302/iopri.jur.jpks.v28i1.93

Abstract

In an attempt to obtain a homogenous board density from the palm trunk, this research was carried out to analyze the distribution of vascular bundles and the physical properties of the oil palm trunk (moisture content, density, and specific gravity) in various zones and trunk heights. Oil palm trunk samples were used from 29 years old palm (Planted on 1991) which acquired from Aek Pancur Experimental plantation, Indonesian Oil Palm Research Institute (IOPRI). The oil palm trunk sample was cut based on the trunk zones (peripheral, central, and inner), and trunk heights (1, 2, 3, 4, 5, 6, 7 m). The observed parameters were vascular bundles, moisture content, density, and specific gravity. The results showed that the highest number of vascular bundles in the peripheral zone (73.66 vb/cm2). In addition that, the highest density and specific gravity also found in peripheral zone with an average 0,73 gram/cm3 and 0.53, whereas the highest moisture content was found in the inner zone with an average value 141%(w/w). Furthermore, the statistical analysis ((ANOVA and regression test (R2)) in this study showed that the trunk zone factor was more significant than the trunk height for all observed parameters (distribution of vascular bundles, moisture content, density and specific gravity).
Determinasi Nilai RGB dan Grayscale pada Citra Tandan Buah Segar (TBS) Kelapa Sawit (Elaeis guineensis Jacq.) Menggunakan MATLAB Muhammad Ansori Nasution; Haikal Nando Winata; Fadlin Qisthi Nasution; Henny Lydiasari; Rivaldy Yustianto Pasaribu; Arjanggi Nasution; Ayu Wulandari
Jurnal Penelitian Kelapa Sawit Vol 30 No 1 (2022): Jurnal Penelitian Kelapa Sawit
Publisher : Pusat Penelitian Kelapa Sawit

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iopri.jur.jpks.v30i1.159

Abstract

The Color and appearance are the most important indicators for a farmer to determine the condition of oil palm fresh fruit bunches (FFB) in the harvesting process. As the main attributes, the color and appearance become the guidelines for the initial assessment of fresh fruit bunches (FFB) of oil palm condition that is suitable or not for harvesting. In Facts, the FFB assessment activities are still carried out manually by utilizing the farmers visual, which is it will be prone to errors during the assessment. Due to this problem, it is important to automate the assessment of the color characteristics of oil palm FFB in order to minimize errors by farmers. The purpose of this study was to determine the efficiency of RGB color imaging techniques on oil palm FFB. The method used is processing and color analysis on 30 FFB images based on smartphone cameras to find the correlations for each color. Each color channel R, G and B in the FFB images was extracted and converted into grayscale using MATLAB R2021 software. The results show that the correlation value of R channel and grayscale has the highest value with R2 = 0.9569. This correlation is expected to be an initial study and suitable alternative for automating the assessment of the condition of oil palm FFB.
Co-Authors Arjanggi Nasution Erwinsyah Erwinsyah Fadlin Qisthi Nasution Haikal Nando Winata Henny Lydiasari Muhammad Ansori Nasution Rivaldy Yustianto Pasaribu