Judul: Determinasi Suhu dan Waktu Kempa Optimum Papan Komposit dari Limbah Kayu dan Anyaman Bambu Betung (Dendrocalamus asper (Schultes f.) Backer ex Heyne)
Abstrak: Permintaan yang tinggi terhadap produk-produk berbahan baku kayu pada saat ini tidak ditunjang oleh ketersediaan bahan baku yang memadai, sehingga produk yang dihasilkan terbatas dan harganya menjadi mahal. Adanya kesenjangan antara pasokan dengan permintaan bahan baku kayu tersebut mendorong dilakukannya inovasi dalam pemebuhan kebutuhan bahan baku. Efisiensi penggunaan kayu sebagai salah satu inovasinya dapat dilakukan dengan memanfaatkan limbah kayu menjadi sebuah produk yang memiliki manfaat dan nilai jual lebih tinggi. Kombinasi anyaman bambu dan limbah kayu untuk pembuatan papan komposit dapat dilakukan untuk mewujudkan hal tersebut. Disamping itu penggunaan lembaran anyaman bambu sebagai face dan back dari papan komposit dapat meningkatkan sifat fisis mekanis papan partikel yang dibuat karena anyaman bambu memiliki struktur yang kuat. Penelitian ini bertujuan untuk menentukan suhu, waktu dan proses kempa optimum pada pembuatan papan komposit dari limbah kayu dan anyaman bambu
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Judul: Determinasi nisbah kempa dan kadar parafin optimum pada pembuatan papan pembuatan papan komposit dari limbah kayu dan anyaman bambu betung (dendrocalamus asper (Schultes f.) Backer ex Heyne)
Abstrak: Papan komposit merupakan produk panel kayu yang dapat dibuat dari limbah kayu atau bahan baku ligno-selulosa non kayu. Penelitian sebelumnya (Khaeruddin 2008) menunjukan penggunaan limbah kayu dan anyaman bambu untuk pembuatan papan komposit menghasilkan papan komposit dengan kualitas yang cukup tinggi.
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Judul: Quantitative Trait Loci Mapping for Trait in Categorical Scale
Abstrak: Genes or regions on chromosome underlying a quantitative trait are called Quantitative Trait Loci (QTL). Characterizing genes controlling quantitative trait on their position in chromosome and their effect on trait is through a process called QTL mapping. In estimating the QTL position and its effect, QTL mapping basically utilize the association between QTL and DNA markers. However, many important traits are obtained in categorical scale, such as resistance from certain disease. From a theoretical point of view, QTL mapping method assuming continuous trait could not be applied to categorical trait. This research was focusing on the assessment of the performance of Maximum Likelihood (ML) and Regression (REG) approach employed in QTL mapping as well as the performance of Lander and Botstein (LB) and Piepho method in determining critical value in testing the existence of QTL for binary and ordinal trait by means of simulation study. The simulation study to evaluate the performance of ML and REG approach was conducted by taking into account several factors that may affecting the performance of both approaches. The factors are: (1) marker density; (2) QTL effect; (3) sample size; (4) shape of phenotypic distribution; (5) number of categories; and (6) number of QTL. Moreover, the simulation study for evaluating LB and Piepho method in determining critical value was conducted by generating distribution of the test statistic under null hypothesis. From simulation study, it was obtained that LB and Piepho method showing similar performance in determining critical value in testing the existence of QTL for binary and ordinal trait. The simulation study also indicating that both methods could be used in determining critical value in QTL mapping analysis for binary trait as well as for ordinal trait if the REG approach is used but not if ML approach is used due to their poor performance. In assessing the performance of ML and REG approach in QTL mapping analysis for binary trait, the two approaches showing comparable performance; whereas for ordinal trait REG approach showing poor performance compared with ML approach in estimating thresholds. As a result, in QTL mapping analysis, ML and REG approach could be used when dealing with binary trait, whereas ML approach is suggested when dealing with ordinal trait.
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