Jurnal Penelitian Kelapa Sawit
Vol 31 No 2 (2023): Jurnal Penelitian Kelapa Sawit

Penggunaan Serat Mesokarp Kelapa Sawit Sebagai Pengganti Serat Sintetis Pada Pembuatan Komposit Fiberglass

Mohammad Prasanto Bimantio (Institut Pertanian STIPER Yogyakarta)
Haris Marturia Sembiring (Institut Pertanian STIPER Yogyakarta)
Reni Astuti Widyowanti (Institut Pertanian STIPER Yogyakarta)



Article Info

Publish Date
09 Aug 2023

Abstract

One of the biggest wastes produced by palm oil mills and their limited use of fuel is palm serat. This waste can be used as a fiberglass composite material. The purpose of this study is to analyze the influence of variations in palm serat and catalysts (mepoxe) on the quality of composites, and analyze the compositions that can produce the best product quality. This study used a complete block design (RBL) with 2 factors. The first factor is the use of catalysts including A1:0.5%, A2:0.75%, and A3:1% and the second factor is the addition of palm serat including B1:7.5%, B2:10%, and B3:12.5 %. The best results were found in the composition of 1% catalyst and 10% palm serat (A3B2 sample) with a thickness of 4.61 mm, a waterproof value of 0.0019 gram, a porosity value of 2.51% which met SNI No.03-1027-1995 and a maximum bending test (fM) of 7.07 MPa / mm and a bending break (fB) of 6.62 MPa / mm so that the sample had better flexibility among other samples but, compared to the control sample, are still relatively weak. The best results for the strongest sample were obtained at the composition of 1% catalyst and 10% palm serat (A3B3 sample) with a thickness of 5.37 mm, a waterproof value of 0.0027 grams, a porosity value of 2.79%, and a load strength of 208.7929 N.

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Journal Info

Abbrev

jpks

Publisher

Subject

Agriculture, Biological Sciences & Forestry

Description

Indonesian Journal of Oil Palm Research Volume 26 Number 2 Year 2018 is published by presenting articles: Utilization of candlenut shell charcoal (Aleurites moluccana (L.) Willd.) as adsorben on refinery of Crude Palm Oil (CPO); Application of an Artificial Neural Network (ANN) model for predicting ...