Sifat Fisik Bungkil Inti Sawit Hasil Ayakan

Farda, Fitria Tsani

doi:10.33230/jps.9.2.2020.12045

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…Ekosistem mangrove di Kabupaten kannya menggunakan JavaScript. Penelitian ini menggunakan script yang telah disusun oleh Levick et al (2019) dan Farda (2020). Secara singkat, alur pengolahan dan analisis data menggunakan GEE tersaji pada Gambar 2.…”

Section: Metode Lokasi Dan Data Penelitianunclassified

Pemetaan Ekosistem Mangrove di Kabupaten Kubu Raya Menggunakan Machine Learning pada Google Earth Engine

Fariz

Permana²,

Daeni

et al. 2021

Jurnal Geografi

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Penyediaan data distribusi mangrove serta perubahannya membutuhkan waktu pemrosesan yang lama jika dilakukan dengan interpretasi citra secara konvensional, apalagi jika dilakukan pada area yang luas seperti Kabupaten Kubu Raya. Hadirnya platform yang bernama Google Earth Engine (GEE) bisa menjadi solusi permasalahan tersebut. GEE mempunyai akses data yang besar, mampu mengolah data berbasis cloud serta memiliki banyak algoritma machine learning. Oleh karena itu penelitian ini mencoba memetakan mangrove di Kabupaten Kubu Raya menggunakan machine learning yang tersedia di GEE, selain itu kami juga membahas beberapa future work terkait pemetaan mangrove di Kabupaten Kubu Raya menggunakan GEE. Machine learning yang digunakan dalam penelitian ini antara lain: CART, Random Forest, GMO Max Entropy, Voting SVM, Margin SVM. Hasil penelitian ini menunjukkan bahwa machine learning yang terbaik dalam memetakan mangrove di Kabupaten Kubu Raya adalah CART. Random Forest juga menjadi machine learning dengan akurasi tertinggi setelah CART, baik keduanya merupakan machine learning berbasis logika atau juga disebut machine learning berbasis pohon keputusan. Dari beberapa studi juga mendukung bahwa machine learning ini sangat cocok digunakan untuk pemetaan penutup lahan. Hasil pemetaan mangrove ini memiliki akurasi kappa yang baik walaupun masih terdapat misklasifikasi sehingga perlu dilakukan sentuhan manual seperti interpretasi visual. Penelitian ini masih terdapat banyak keterbatasan sehingga perlu dikembangkan penelitian dengan menggunakan input data yang lebih beragam dan pengujian hyperparamater antar machine learning.

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Section: Metode Lokasi Dan Data Penelitianunclassified

Pemetaan Ekosistem Mangrove di Kabupaten Kubu Raya Menggunakan Machine Learning pada Google Earth Engine

Fariz

Permana²,

Daeni

et al. 2021

Jurnal Geografi

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“…The utilization of palm kernel cake as a local feed source has been widely done. Palm kernel cake is considered quite potential as feed because it has good nutrient content for livestock [7]. Feed for dairy cows must contain energy and protein to meet the nutritional needs of dairy cows.…”

Section: Introductionmentioning

confidence: 99%

Synthesis and Characterization of Ruminant Feed Based on Palm Kernel Cake Using EM4 Fermentation Method

Hamid,

Nasution,

Syafrina

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The purpose of this study was to determine the effect of the addition of cassava as an adhesive and the use of palm kernel meal as a concentrate and the addition of other ingredients on the physical, mechanical and chemical properties of food ingredients in the form of pellets. The animal feed was made by mixing palm kernel meal, tofu dregs, rice bran, and cassava with a percentage of (68,5 : 15,75 : 5,25 : 10,5)% and mixing molasses and EM 4 in a ration 1 : 1. The test samples were made by going through the stages of weighing, chopping, mixing, fermentation, drying, and molding into pellets. The results showed that the animal feed mixture had a specific gravity of 1.70 gr/mL, porosity of 29.05%, water absorption of 72.62%, pellet hardness of 4.85%, and brittleness with 4.92%. Animal feed pellets have a brownish color and a normal smell like the smell of animal feed pellets in general. The fermentation process was carried out for 8 days until it reached a maturity temperature of 38.44°C. Based on the proximate analysis, it was found that the animal feed contained 10.50% protein, 2.30% total fat, 22.80% crude fiber, 28.50% carbohydrate, 3.00% ash content and 32.90% moisture content. This animal feed pellet with palm kernel meal concentrate and cassava adhesive can be used as an alternative to cattle feed as an energy source feed, because it has a protein content of less than 20%.

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Sifat Fisik Bungkil Inti Sawit Hasil Ayakan

Cited by 2 publications

References 1 publication

Pemetaan Ekosistem Mangrove di Kabupaten Kubu Raya Menggunakan Machine Learning pada Google Earth Engine

Pemetaan Ekosistem Mangrove di Kabupaten Kubu Raya Menggunakan Machine Learning pada Google Earth Engine

Synthesis and Characterization of Ruminant Feed Based on Palm Kernel Cake Using EM4 Fermentation Method

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