Judul: Pemodelan Decision Network untuk Menentukan Pola Tanam Pertanian Dinamis
Abstrak: Plants require different climatic conditions to grow well. The knowledge of optimum climate for plant to grow is essentially needed. The El Nino and La Nina phenomena affect the climate changes variability in Indonesia. El Nino causes a decrease in agricultural productivity due to the reduction in availability of water for crops. However, the La Nina phenomenon increases agricultural productivity due to the abundant availability of water. The strategy that can be done to solve the problem of climate change are to adjust the shape of cropping patterns and to forecast the season by using a Decision Network. Based on the Decision Network, the decision to select established cropping patterns is done using climate information and other obtained information before the decision is made. In this study, there are four information to be used. They are SOI index in August which can be used as an early possible indicator of rainy season changes, the length of rainy season, the rainfall in dry season, and the land area affected by drought. The objective of this research was to build the information model for agricultural cropping pattern by decision network. The data in this research were from 1965 to 2010. Cropping pattern can be used to produce a proper and accurate decision regarding to possibility of drought in areas. It also can be used to predict the possibility of loss amount that may arise. This study is conducted Indramayu District. The decisions are based on cropping patterns in Indramayu. The result showed that the model accuracy was 61.9% based on the relationship between the possibility of drought and drought data record in Indramayu from 1989 until 2009.
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Judul: Pengelolaan risiko iklim pada sistem usaha tani berbasis padi melalui pemanfaatan kalender tanam dinamik
Abstrak: El-Nino events can lead to decreased production of rice, due to the addition of the planting area is experiencing drought and loss yield. Early withdrawal of the rainy season could lead to the resignation of a second crop. This second crop is susceptible to drought. Therefore, the scheduling of planting taking into account the possibility of extreme climate events are contained within a planting calendar is one solution. Research preparation of the planting calendar has been started since 2007 (Las et al, 2007) by the Ministry of Agriculture. Output produced in the early years, a map of the plant which is divided into four scenarios, using historical data. On the other hand, Boer et al (2007) also researched the planting calendar with use decision and bayesian network. However, the resulting decision regarding just planting time only. Therefore, to develop a planting calendar that has been generated, the research done by adding the decision issued by measuring the utility function as an approach, in addition to overcome the problem of drought due to improper planting time. This study aimed to look for alternative cropping patterns ideal economically advantageous in terms of a combination of rice cultivation (planting time, fertilizer, irrigation, varieties) on a farm in a particular season, which gives the maximum production with minimal loss rate.
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Judul: Hydroxyapatite-Chitosan Composite Coating on Stainless Steel 316 to Improve Corrosion Resistance
Abstrak: Metals that were used in bone implantation should have good corrosion resistance that were not easily corroded when implanted into the body. Metal corrosion resistance of stainless steel 316 can be enhanced through the metal coating by hydroxyapatite-chitosan composite with composition ratio of hydroxyapatite (gram) and chitosan 3% (mL) 0.2:0, 0.2:0.1, 0.2:0.5, 0.2:1.0, and 0.2:1.5. Besides improving the corrosion resistance of metal, the presence of chitosan also maintain the position of hydroxyapatite on metal surfaces. Corrosion resistance increases with increasing amount of chitosan added and the best composition of hydroxyapatite-chitosan composite was 0.2:1.0.
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