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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) JTIK (Jurnal Teknik Informatika Kaputama)
Rahmadani, Feri
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Agriculture, Biological Sciences & Forestry Computer Science & IT Engineering

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Improving Mechanical Properties of Biofoam Using Oil Palm Fiber as Filler at Various Temperatures and Processing Times Rahmadani, Feri; Syauqiah, Isna; Nugroho, Agung
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 1 (2025): February 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i1.130-136

Abstract

Biofoam, as an alternative packaging material based on tapioca starch, has become a choice for environmentally friendly packaging. However, biofoam has a drawback in terms of weak mechanical properties. The use of oil palm fiber, a by-product of CPO production, has gained interest as a material that can improve the mechanical properties of biofoam. This study aims to produce biofoam with the best mechanical characteristics as packaging material through variations in temperature and processing time. The production of biofoam was carried out using the thermopressing method on tray-shaped molds with variations in molding temperature of 180°C, 190°C, and 200°C for 180 seconds and 210 seconds. The dough formulation consisted of 80% starch, 20% fiber, with the addition of 25 grams of water. Mechanical property testing was conducted through tests for moisture content, water adsorption, biodegradability, compressive strength, and tensile strength. The variation of 190°C temperature and 210 seconds baking time resulted in biofoam with the best mechanical properties. This biofoam showed the highest compressive strength value of 26.94 kPa, tensile strength test of 83.11 kPa, the second-highest biodegradability with a percentage of 78.93%, and the second-lowest moisture content with a value of 7.56%. These results indicate that biofoam at a molding temperature of 190°C and a baking time of 210 seconds has the best mechanical properties, making it superior as an environmentally friendly alternative packaging material compared to other formulations. Keywords: Biofoam, Oil palm fiber, Temperature, Thermopressing.
JARINGAN SYARAF TIRUAN PREDIKSI JUMLAH PENGIRIMAN BARANG MENGGUNAKAN METODE BACKPROPAGATION ( STUDIKASUS: KANTOR POS BINJAI ) Rahmadani, Feri; Pardede, Akim M.H.; Nurhayati, Nurhayati
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.591

Abstract

Artificial neural networks are a branch of AI (Artificial Intelligence). Artificial neural network is an information processing paradigm which is inspired by the human brain system in receiving information and solving problems by carrying out the learning process through changes in the weight of its synapses. Pos Indonesia is an Indonesian state-owned company engaged in postal services. Currently, the form of Pos Indonesia business entity is a Limited Liability Company and is often referred to as PT. Indonesian post. This research was conducted to obtain a time benchmark when the delivery process occurs so that it can be used as a reference in shipping management control. The number of shipments of goods can be predicted by one method for prediction, namely the Backpropagation method. The Backpropagation method is a learning algorithm to reduce the error rate by adjusting the weight based on the difference in output and the desired target. This study uses unemployment data from the previous 3 years as training test data and training target data. After conducting the discussion, it produces an error value of 0.020043915 in iteration I. The results cannot be used because the error rate has not reached the target, which is 0.01.
Co-Authors Chandra, R Isna Syauqiah Nugroho, Agung Nurhayati Nurhayati Pardede, Akim Manaor Hara