Judul: Faktor-faktor yang mempengaruhi produksi produk turunan minyak sawit di Indonesia
Abstrak: Production of palm oil downstream products in Indonesia is still low compared to primary products, namely palm oil. demand for palm oil, margarine and soap increased every year. therefore, Indonesia needs to increase the production of palm oil derivative products, not only to meet consumer demand but also related to value-added. Relevant government policies in order to encourage the development of downstream palm oil industry, through the instrument of monetary policy interest rates can affect the production of palm oil derivative products are cooking oil, margarine and soap. The research objectives are (1) Analyzing the factors that influence the production of palm oil derivative products in Indonesia, cooking oil, margarine and soap. (2) Analyzing the impact of policy rate cuts on the production of cooking oil, margarine and soap in Indonesia. In order to address these objectives, a simultaneous equations model of derived from the production of palm oil in Indonesia is estimated by Two Stage Least Squares (2SLS) method. Domestic palm oil production is influenced significantly by the domestic price of cooking oil palm, palm oil price growth rate domestk, interest rate, and cooking oil production t-1. Domestic production of margarine significantly influenced by the production of margarine t-1. Production of domestic soap significantly influenced by the level of interest rates, the growth rate of industrial labor, and the production of soap domestuk t-1. in order to develop the production of palm oil derivatives suggested that the government should export oriented derivative products (cooking oil, margarine and soap) to increase foreign exchange and provision of low interest rates in order to increase investment in downstream industries.
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Judul: Analisis Permintaan Minyak Sawit Indonesia oleh Industri Minyak Goreng, Margarin, Sabun, dan Fatty Acid
Abstrak: Crude Palm Oil (CPO) is a vegetable oil derived from palm oil . Indonesian palm oil production are not accompanied by high domestic processing but many serve as export commodities. However, based on data from the Ministry of Industry in 2009 to 2011 the number of Indonesian exports gradually decreased. The decline in Indonesia palm oil exports in the period 2009-2011 due to external and internal factors. External factors due to the global economic crisis, and the saturation of the production of palm oil in the world market. Internal factors due to domestic palm oil downstream industry developing. This study was restricted to examining the internal factors causing the decline in Indonesia palm oil exports. The purpose of this study is to analyze the production of palm oil and palm oil production of downstream products, as well as to analyze the factors that affect the demand for downstream palm oil industry in Indonesia for palm oil. This study uses time series data from 1991 to 2011 year. Indonesian palm oil demand model by palm oil downstream industry estimated by multiple linear regression models and estimation methods Ordinary Least Squares (OLS). Indonesian palm oil demand by downstream industries is derived demand (derived demand) of the company's profits that allegedly affected by input prices (real prices of domestic palm oil), output prices (real prices of downstream products) and total output (production of downstream products). The results showed a decrease in palm oil exports indicates that the domestic downstream industry began to flourish. Demand for palm oil in Indonesia's downstream industries significantly affected by the real price of inputs and the production of downstream products. In order to increase the production of cooking oil, margarine, soaps, and fatty acid and palm oil consumption by the downstream industry, the government should facilitate the loan interest rate subsidies and implementing tax holiday. The government should impose a tax or non-low duty on exports of palm oil downstream products.
Keyword: fatty acid, soap, margarine, cooking oil, palm oil, derived demand

Judul: Quantum Convolutional Neural Network (QCNN) for Classification Brain Tumor MRI Image
Abstrak: Penelitian ini bertujuan untuk mengembangkan model deteksi tumor otak menggunakan citra MRI dengan metode Quantum Convolutional Neural Network. Data yang digunakan adalah citra MRI otak yang terdiri dari citra tumor otak glioma, meningioma, hipofisis, dan negatif tumor yang dibagi kedalam data latih dan uji dengan rasio 80:20. Selanjutnya data latih dilakukan penyeimbangan dengan teknik oversampling. Dilakukan pengembangan model untuk mendeteksi tumor otak (biner), dan juga model untuk mengklasifikasikan jenis tumor otak (multiclass). Parameter yang digunakan dalam pengembangan model adalah jumlah ukuran filer = 2 dan kedalaman = 4, dengan qubit 4, dan dilatih dengan jumlah epoch sebanyak 10. Data akan diproses dengan metode Quantum Convolutional Neural Network yang terdiri dari lapisan quantum convolution, lapisan flatten, dan lapisan dense. Model multiclass mendapatkan akurasi 52%, setelah data latih diseimbangkan akurasi model meningkat menjadi 62%, sedangkan model biner mendapatkan akurasi 88%, setelah data latih diseimbangkan akurasi model meningkat menjadi 89%.
Keyword: Citra MRI, Klasifikasi Citra, QCNN, Tumor Otak