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"The focus of this research is to analyze potential environmental impact in the supply chain of palm oil biodiesel industries. Simple Life Cycle Assessment (LCA) is applied to analyze impacts, produced by the three main units in the supply chain of Palm-Oil-based Biodiesel, which are Palm Plantation, CPO mill, and Biodiesel Plant. We developed LCA calculation model using spreadsheet software, used to assess a number of input scenarios to evaluate the best scenario, in variation of: land quality, land area and the rate of clearing, land clearing technique and type of the original land. The biggest potential environmental impact is the contribution to global warming impact which emissions are produced mostly from unit plantation. Although plantation has biggest potential to contribute to environmental impact, it also gives biggest reduction to global warming impact. In general, the biggest environmental impact in the LCA category is climate change, followed by photo-oxidant formation and eutrophication. The biggest impacts in the supply chain are from the plantation, especially when choosing the right technique for land clearing. In addition, due to LCA linearity nature, the scenario that we tested does not change the total accumulative environmental impacts."

"Produksi Bahan Bakar Nabati (BBN) di Indonesia, terutama biodiesel, sudah banyak dilakukan menggunakan bahan baku minyak kelapa sawit. Namun hal tersebut menimbulkan kompetisi dengan kebutuhan pangan. Saat ini mulai dikembangkan pembuatan BBN dengan menggunakan minyak nabati non-pangan, seperti minyak nyamplung. Proses produksi BBN menghasilkan emisi dan dampak lingkungan. Penelitian ini bertujuan untuk menganalisis perbandingan besar emisi gas dan dampak lingkungan dari produksi BBN berbasis kelapa sawit dan nyamplung, serta menentukan alternatif bahan baku yang paling ramah lingkungan. Analisis dilakukan dengan metode Life Cycle Assessment (LCA) menggunakan perangkat lunak OpenLCA. Batasan sistem pada penelitian ini adalah cradle to gate yang meliputi tahap pembukaan lahan sampai dengan tahap distribusi produk. Emisi gas yang dihasilkan dalam produksi BBN adalah emisi Gas Rumah Kaca (GRK) berupa CO2 N2O, dan CH4, serta emisi gas polutan berupa CO, NOx, SOx, dan NMVOC. Hasil yang diperoleh menyatakan produksi BBN dengan bahan baku minyak nyamplung merupakan yang paling ramah lingkungan, dengan emisi terbesar adalah CO2 senilai 15129,05 kg CO2/ton BBN dan emisi terkecil adalah N2O senilai 9,3E-06 kg N2O/ton BBN. Potensi dampak lingkungan terbesar yang dihasilkan adalah Global Warming senilai 15647,30 kg CO2 eq, Human Toxicity senilai 50,89 kg 1,4-DB eq, dan Acidification senilai 21,21 kg SO2 eq.

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Biofuel production in Indonesia, especially biodiesel, has been carried out using palm oil as the raw material. However, this has created competition with food needs. Therefore, currently biofuel production is being developed with non-food vegetable oil, such as nyamplung oil. The biofuel production process produces emissions and environmental impacts. This study aims to analyze the comparison of gas emissions and environmental impacts of biofuel production from palm oil and nyamplung oil, and determine the most environmentally friendly raw material. The analysis was conducted using Life Cycle Assessment (LCA) method with OpenLCA software. The scope in this study is cradle to gate, start from land clearing process until product distribution. Gas emissions produced in biofuel production are GHG emissions in the form of CO2 N2O, and CH4, and pollutant gas emissions in the form of CO, NOx, SOx, and NMVOC. The result showed that biofuel production from nyamplung oil is the most environmentally friendly, with the largest emissions produced is CO2 worth 15129,05 kg CO2/ton biofuel and the smallest is N2O worth 9,30E-06 kg N2O/ton biofuel. The biggest environmental impact produced was Global Warming 15647,30 kg CO2 eq, Human Toxicity 50,89 kg 1.4-DB eq, and Acidification 21,21 kg SO2 eq.

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"Sejak tahun 2006, Indonesia merupakan negara penghasil minyak kelapa sawit terbesar di dunia. Perkembangan industri minyak kelapa sawit yang meliputi perluasan lahan bukan tanpa halangan. Pembukaan lahan baru selalu bertentangan dengan isu lingkungan hidup. Dalam penelitian sebelumnya di Malaysia, pembukaan lahan kelapa sawit baru berimplikasi negatif terhadap produksi minyak kelapa sawit dalam jangka panjang. Tesis ini membahas tentang hubungan antara luas lahan tanam, harga minyak kelapa sawit dan produksi minyak kelapa sawit di Indonesia dengan pendekatan kuantitatif menggunakan data tahunan yang meliputi luas lahan tanam, harga dan produksi minyak kelapa sawit Indonesia dari tahun 1980-2014. Data tersebut diperoleh dari Direktorat Jenderal Perkebunan. Model yang digunakan adalah vector error correction model. Empat tahap analisis dalam penelitian ini meliputi uji stasioneritas, uji kointegrasi Johansen, VECM dan kausalitas Granger. Hasil dari penelitian ini mengungkapkan bahwa luas lahan tanam dan harga berpengaruh positif pada produksi dalam jangka panjang. Dalam jangka pendek, luas lahan tanam dan harga berpengaruh negatif terhadap produksi. Melalui kausalitas Granger terlihat bahwa luas area perkebunan memicu produksi dan produksi memicu harga. Untuk penelitian selanjutnya, peneliti menganjurkan agar melibatkan variabel-variabel lain yang terkait seperti ekspor minyak kelapa sawit, harga minyak kelapa sawit dunia dan harga barang substitusi.

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Since 2006, Indonesia is the biggest palm oil producer in the world. Palm oil industry advancement which includes clearing is not without a hitch. Clearing is always contradict with environmental issues. In a previous study in Malaysia, increasing total area planted have negative implication towards palm oil production. This thesis examines the relationship between total area planted, palm oil price and palm oil production in Indonesia using quantitative approach with annual data of Indonesian total area planted, palm oil price and production from 1980 to 2014. The data obtained from Directorate-General of Plantation. The model used in this research is vector error correction model. Four stages of analyses which are involved are stationerity test, Johansen cointegration test, VECM and Granger causality. The findings showed that total area planted and palm oil price have positive effect on palm oil production in the long run. In the short run, total area planted and palm oil price have negative impact on palm oil production. Granger Causality shown that total area planted triggers production and production triggers price. For future studies, researcher recommends to include other related variables such as palm oil export, palm oil world price and substitute price."

"The largest region that produces oil palm in Indonesia has an important role in improving the welfare an economy of the society. Oil palm production has increased significantly in Riau Province in every period. To determine the production development for the next few years, we proposed a prediction of the production results. The dataset were taken to be the time series data of the last 8 years (2005-2013) with the function and benefits of oil palm as the parameters. The study was undertaken by comparing the performance of Support Vector Regression (SVR) method and Artificial Neural Network (ANN). From the experiment, SVR resulted the better model compared to the ANN. This is shown by the correlation coefficient of 95% and 6% for MSE in the kernel Radial Basis Function (RBF), whereas ANN resulted only 74% for R2 and 9% for MSE on the 8th experiment with hidden neuron 20 and learning rate 0,1. SVR model generated predictions for next 3 years which rose 3%-6% from the actual data and RBF model predictionsDaerah penghasil kelapa sawit terbesar di Indonesia mempunyai peranan penting dalam peningkatan kesejahteraan dan ekonomi masyarakat. Produksi kelapa sawit mengalami peningkatan yang signifikan di Provinsi Riau dalam setiap kurun waktu, untuk menentukan perkembangan produksi beberapa tahun ke depan, kami mengusulkan suatu prediksi dari hasil produksi. Dataset yang diambil adalah data time series dari data yang diperoleh selama 8 tahun terakhir (2005-2013) dengan fungsi dan manfaat kelapa sawit sebagai parameter. Dalam implementasinya peramalan dilakukan dengan membadingkan kinerja metode Support Vector Regression (SVR) dan Artificial Neural Network (ANN). Dari percobaan, SVR menghasilkan model terbaik dibandingkan dengan ANN yaitu ditunjukkan dengan koefisien korelasi sebesar 95% dan MSE 6% pada kernel Radial Basis Function (RBF), sedangkan ANN hanya menghasilkan R2 sebesar 74% dan MSE 9% pada percobaan ke-8 dengan hidden neuron 20 dan learning rate 0,1. SVR model menghasilkan prediksi untuk 3 tahun kedepan yang memiliki kenaikan antara 3%-6% dari data aktual dan prediksi model RBF"

"ABSTRAKKelapa sawit merupakan tanaman perkebunan yang banyak dibudidayakan di Indonesia, dengan luas sekitar 11 juta hektar pada tahun 2014. Serbuk sari kelapa sawit memiliki potensi alergi yang cukup besar, karena memiliki ukuran relatif kecil, berjumlah relatif banyak, dan bersifat anemofili.Penelitian ini bertujuan untuk mengetahui karakter kandidat protein alergen serbuk sari kelapa sawit melalui metode SDS-PAGE dan Western Blotting, serta mengetahui aktivitas IgA, IgE, IgG, IgM, dan IFN-γ pada sel Peripheral Blood Mononuclear Cell (PBMC) terhadap induksi protein serbuk sari kelapa sawit yang dilakukan secara in vitro. Penelitian diawali dengan ekstraksi protein serbuk sari kelapa sawit, yang berasal dari beberapa wilayah di Indonesia. Berat molekul protein dianalisis dengan metode SDS-PAGE, serta uji kealergenikan kandidat protein alergen diuji dengan menggunakan 21 serum pasien alergi melalui metode Western Blotting. Protein serbuk sari kelapa sawit juga diinduksikan pada kultur sel PBMC. Proses pendeteksian IgA, IgE, IgG, IgM, dan IFN-γ dilakukan menggunakan metode ELISA. Berat molekul protein serbuk sari kelapa sawit diketahui berukuran 10?80 kDa.Hasil uji kealergenikan protein tersebut pada Western Blotting menunjukkan kandidat protein alergen memiliki ukuran 14 kDa, 15 kDa, 20 kDa dan 31 kDa. Aktivitas beberapa immunoglobulin dan sitokin berhasil terdeteksi. Konsentrasi IgA didapatkan sebesar 0,022 pg/ml, IgE sebesar 9,655 pg/ml, IgG sebesar 39,856 pg/ml, IgM sebesar 10,369 pg/ml, dan IFN-γ sebesar 2.617,240 pg/ml.

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ABSTRACT

Oil palm is a plant that widely cultivated in Indonesia, with an area of about 11 million hectares in 2014. Oil palm pollen is potential to caused allergy, because it has a small size, much in amount, and was dispersed by wind.

This study aims to determine the character of the allergen protein candidate from oil palm pollen by using SDS-PAGE and Western Blotting, and also to know the activity of IgA, IgE, IgG, IgM, and IFN-γ against exposure to oil palm pollen protein performed in vitro on Peripheral Blood Mononuclear Cell (PBMC). The study begins with the protein extraction from oil palm pollen, which is derived from several regions in Indonesia. The molecular weight of these proteins are analyzed using SDS-PAGE. Allergenic test of allergen protein candidates were tested using 21 serum of allergic patients through Western Blotting method. Oil palm pollen protein also induced in PBMC cultures. The detection of IgA, IgE, IgG, IgM, and IFN-γ were performed using ELISA. The molecular weight of oil palm pollen protein is about 10?80 kDa.

Allergenic test results through Western Blotting showed the allergen protein candidates have a size of 14 kDa, 15 kDa, 20 kDa and 31 kDa. Immunoglobulin and cytokine activity successfully detected. The IgA concentrations obtained 0.022 pg/ml, IgE obtained 9.655 pg/ml, IgG obtained 39.856 pg/ml, IgM obtained 10.369 pg/ml, and IFN-γ obtained 2,617.240 pg /ml."

"Telah dilakukan analisis terhadap minyak kelapa, minyak kelapa sawit, dan virgin coconut oil berdasarkan parameter yang terdapat pada SNI minyak kelapa seperti kadar air, bilangan peroksida, bilangan iod, bilangan penyabunan, dan bilangan asam, dengan menggunakan metode titrasi. Pada pengamatan hasil analisis terhadap dua sampel virgin coconut oil dari produk yang berbeda, terdapat perbedaan kualitas berdasarkan parameter SNI. Untuk minyak kelapa, minyak kelapa sawit, dan virgin coconut oil, perbedaan kualitas berdasarkan parameter SNI tidak terlalu besar antara ketiganya. Dalam penelitian ini dilakukan analisis terhadap asam laurat dalam keempat sampel minyak tersebut secara kromatografi lapis tipis(KLT) densitometri, namun metode ini tidak berhasil untuk menganalisanya.Analysis of coconut oil, palm oil, and virgin coconut oil has been carried out based on SNI parameter such as water content, peroxide value, iodine value, saponification value, and acid number by using titration method. The analysis result of virgin coconut oil from difference products has showed differences quality based on SNI parameter. For the coconut oil, palm oil, and virgin coconut oil, there were small differences among them. It was also carried out Analyzing of lauric acid for all samples by thin layer chromatography densitometry, but the method applied did not work well."

"Indonesia adalah salah satu produsen minyak sawit terbesar di dunia. Kelapa sawit memiliki berbagai produk turunan yang memiliki nilai lebih tinggi daripada produk kelapa sawit hulu. Indonesia masih mengekspor sebagian besar minyak sawit mentah daripada turunannya. Tujuan dari penelitian ini adalah untuk mendapatkan strategi terbaik dalam mengembangkan industri hilir kelapa sawit dengan mempertimbangkan total harga dan emisi gas rumah kaca. Fungsi objektif ekonomi adalah harga total penjualan semua produk dan objektif lingkungan yang diukur dengan total emisi gas rumah kaca. Optimisasi multiobjektif superstruktur State-Task Network, dengan variabel tetap dari harga jual produk, faktor emisi dan faktor konversi proses. Optimisasi multiobjektif dilakukan menggunakan GAMS, dengan solver Cplex 12.6.3. Harga jual total yang didapatkan sebesar 51,67 miliar USD dan emisi GRK total yang dihasilkan adalah 88,05 juta ton CO2e. Jalur produksi terbaik yang dipilih adalah produksi 54 produk turunan kelapa sawit untuk memenuhi kebutuhan domestik dan 21 diantaranya dapat diekspor 1 produk turunan FFB, 4 produk turunan CPO, 1 produk turunan POME, 4 produk turunan EFB, 2 produk turunan PKS, dan 9 produk turunan Palm Kernel.

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Indonesia is one of the largest palm oil producers in the world. Palm oil has a wide range of derivative products that have higher values than in the upstream oil palm products. Indonesia still exports mostly crude palm oil rather than its derivatives. The objective of this research is to obtain the best strategy of developing downstream palm oil industry by considering the total price and greenhouse gas emission. Economic objectives function are the total selling price of all products and environmental objectives measured by the total greenhouse gas emissions. Multi objective optimization is based on State Task Network Superstructure, with fixed variable of product selling price, emission factor and conversion factor of processes. Multi objective optimization is done using GAMS with Cplex 12.6.3 solver. The total selling price earned amounted to 51,67 billion USD and total GHG emissions generated were 88,05 million tons CO2e. The selected production pathway is the production of 54 palm oil derivatives products to meet domestic needs and 21 of them can be exported 1 FFB derivative product, 4 CPO derivative products, 1 POME derivative product, 4 EFB derivative products, 2 PKS derivative products, and 9 derived products of Palm Kernel."

"Penelitian ini bertujuan untuk melihat keterkaitan harga minyak mentah Indonesia (ICP) dan harga minyak sawit mentah (CPO) pada berbagai periode kebijakan mandatori biodiesel di Indonesia. Dengan menggunakan metode analisis Ordinary Least Square (OLS) data deret waktu (time series) sejak Januari 2001 sampai dengan Desember 2021, penelitian ini menunjukkan secara umum ICP dan CPO berkorelasi positif dan signifikan, tetapi secara khusus hubungannya sangat bergantung pada jenis kebijakan biodiesel yang dijalankan. ICP dan CPO berkorelasi positif dan signifikan pada periode mandatori biodiesel subsidi terbatas (2006-2015) dan mandatori biodiesel insentif selisih harga yang dikombinasikan dengan tarif pungutan ekspor progresif (2020-2021). ICP dan CPO tidak berkorelasi pada saat mandatori insentif selisih harga dengan tarif pungutan ekspor tetap (2016-2019). Pada saat harga ICP dan harga CPO berkorelasi kuat dan signifikan, kenaikan stok tidak diasosiasikan dengan penurunan harga CPO. Namun, saat ICP dan harga CPO tidak berkorelasi, kenaikan stok diikuti penurunan harga CPO. Stabilisasi harga CPO hanya terjadi pada periode mandatori biodiesel insentif selisih harga yang dikombinasikan dengan tarif pungutan ekspor CPO tetap.

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The main objective of this study is to provide the empirical study of the linked between Indonesian crude oil prices (ICP) and crude palm oil (CPO) prices in various periods of biodiesel mandatory policy in Indonesia. Using Ordinary Least Square (OLS) method for time series data from 2001 to 2021, this study shows that although ICP and CPO are positively and significantly correlated in general, the correlation varies depending on the biodiesel policy that being implemented. ICP and CPO are significantly correlated in the periode of biodiesel mandatory with limited subsidies (2006-2015) and in the biodiesel mandatory with incentives that is combined progressive CPO export levy tariff (2020-2021). ICP and CPO are not correlated during the biodiesel mandatory with incentives that combined of fixed CPO export levy (2016-2019). When the ICP and CPO price are strongly and significantly correlated, the increase in stock is not associated with a decrease in the CPO price. However, when ICP and CPO prices are not significantly correlated, the stock increase is followed by a decrease in CPO prices. CPO price stabilization only occurred during the biodiesel mandatory that is combined with incentives and a fixed CPO export levy tariff."

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Besarnya potensi minyak sawit atau crude palm oil (CPO) Indonesia mendorong percepatan produksi biodiesel sebagai bahan bakar nabati (biofuel). Kebijakan pemerintah Indonesia untuk meningkatkan konsentrasi penerapan biodiesel melalui program pencampuran biodiesel dengan bahan bakar solar telah mengejutkan industri makanan dan oleokimia. Hal ini terlihat dari kenaikan harga minyak goreng sawit domestik yang diduga karena kenaikan persentase pencampuran (blending rate) biodiesel yang ditetapkan pemerintah. Beberapa kebijakan terkait industri kelapa sawit ditengarai memicu guncangan yang terjadi, sehingga diperlukan evaluasi lebih lanjut untuk menganalisis dampak yang terjadi antara kebijakan peningkatan pencampuran biodiesel dengan alokasi CPO untuk pangan atau minyak goreng. Analisis pada kebijakan kelapa sawit menggunakan model sistem dinamis dengan hasil simulasi yang menunjukkan kenaikan persentase blending rate hingga 100% sesuai target pemerintah dinilai tidak memungkinkan tanpa adanya dukungan kebijakan DMO dan kebijakan lain yang dapat menjaga alokasi CPO untuk pangan atau minyak goreng sawit.

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The large potential of Indonesia's Crude Palm Oil (CPO) is driving the acceleration of biodiesel production as biofuel. The Indonesian government's policy to increase the concentration of biodiesel application through a blending program of biodiesel with diesel fuel has taken the food and oleochemical industries by surprise. This can be seen from the increase in the price of domestic palm cooking oil which is allegedly due to the increase in the blending rate of biodiesel set by the government. Several policies related to the palm oil industry are suspected of triggering these shocks, so further evaluation is needed to analyze the impact that occurs between the policy of increasing the blending of biodiesel and the allocation of CPO for food or cooking oil. Analysis on palm oil policy using a dynamic system model with simulation results showing an increase in the blending rate percentage to 100% according to the government's target is considered impossible without the support of DMO policies and other policies that can maintain CPO allocations for food or palm cooking oil.

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