Judul: Kajian Faktor Agroekologi Untuk Peramalan Produksi Kelapa Sawit (Elaeis guineensis Jacq.) di Sei Air Hitam Estate, PT. Perdana Inti Sawit Perkasa, Kab. Rokan Hulu, Riau.
Abstrak: The internship was conducted at Sei Air Hitam Estate, Rokan Hulu, Riau, from February 13th to May 13th 2012. The objective of this assignment was to determine agronomic and agroecological characters responsible to estimate oil palm production. The assignment composed of several works, i.e., as field worker for three weeks, as assistant foreman for three weeks, and as estate assistant companion for six weeks. Specific topic studied was evaluation of the agronomic and agroecological characters which were affected oil palm production. Result of t-parcial test indicated that there were seven variables affected oil palm production at α= 1% and α= 5% i.e., plant ages, fertilizer application, air humidity, wind speed, number of rainy day, rainfall, and water deficit. Result of Multiple regression analysis showed that there were six model comparison which able to be used to estimate oil palm production in Sumatera.
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Judul: Identifikasi Parameter Agronomi untuk Pengembangan Taksasi Produksi Kelapa Sawit (Elaeis guineensis Jacq.) di Angsana Estate, PT. Ladangrumpun Suburabadi, Minamas Plantation, Tanah Bumbu, Kalimantan Selatan.
Abstrak: The purpose of this final assignment was to determine agronomic and agroecological characters responsible to production estimation of oil palm fresh fruit bunches. The studies was conducted at PT. Ladangrumpun Suburabadi, Minamas Plantation, District of Tanah Bumbu, South Kalimantan from February 15th to June 15th 2010. The assignment composed of several works, i.e., as field worker for two months, as assistant foreman for one month, and as estate assistant for one month. Special observation was conducted as additional activity, e.g. to examinate the agronomic and agroecological characters which were expected affected oil palm production such as climates, land suitability, and agronomy of oil palm. According to test of t-parcial, indicated that climatic factors played an important role in the production of oil palm. Air humidity in the 6 months prior to harvest (MPH), the sun shines intensities on 18 MPH, rainfall on 6 MPH, rainy days on 18 MPH, water deficit at 0 and 24 MPH, as well as plant age and fertilizer including the factors determining the production of oil palm. Production forecasting modeling performed by multiple linear regression analysis, from the seven variables significantly affected the production of oil palm, of which obtained six combination of regression. Multiple linear regression equation no. VI was the closest to actual production. This multiple linear regression equation VI can be used to predict the annual production of oil palm in Angsana Estate for 5-11 years old plants by adding up monthly production forecast for a year. It is note worthy that regression equation VI dependent on fertilizer aplikation, number of rainy days and sunshine at 18 MPH, water deficit at the 24 MPH, and present plant age data.
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Judul: Construction of Strongly Optimal Binary Linear Code with Minimum Distance 9 and 11
Abstrak: A binary linear code of length n over q F is a subspace of n q F . A code has three parameters that attached to it, namely length, dimension, and minimum distance. A code with length n, dimension k and minimum distance d is often called [n, k, d ]-code. Usually, when two parameters are given, then we want to find a code that has the best value for the last parameter. Based on Gilbert- Varshamov bound, if a [n, k, d ]-code exists and can not be expanded, we call it a strongly optimal code. In this paper, we construct strongly optimal code with minimum distance 9 and 11. In constructing the code, we created a theorem and algorithm based on Gilbert-Varshamov bound before we implement the algorithm to MAPLE programming language. Because of computational limitations, the program can only construct up to k = 10 for d = 9 and k = 12 for d = 11.
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