Judul: Analisis energi proses penyulingan minyak akar wangi dengan peningkatan tekanan dan laju alir uap air secara bertahap
Abstrak: Minyak akar wangi adalah salah satu komoditas ekspor non migas Indonesia. Indonesia merupakan eksportir minyak akar wangi ketiga terbesar dunia setelah Haiti dan Bourbon. Masalah utama yang dijumpai pada produksi minyak akar wangi Indonesia adalah mutu rendah, waktu penyulingan yang lama dan kebutuhan bahan bakar yang tinggi. Hal ini memerlukan perbaikan disain proses distilasi yang menjamin tercapainya mutu produk yang lebih baik dan recovery minyak yang tinggi, tapi dengan konsumsi energi yang efisien. Penelitian ini bertujuan untuk menganalisis penggunaan energi selama proses penyulingan pada beberapa disain proses penyulingan untuk menghasilkan minyak dengan mutu yang baik. Secara khusus penelitian ini bertujuan mengetahui pengaruh kondisi dan tahapan proses terhadap penggunaan energi dan menganalisis penggunaan energi pada masing-masing sub sistem penyulingan serta menganalisis efisiensi peralatan penyulingan.
Keyword: 

Judul: Rekayasa Proses Penyulingan Minyak Akar Wangi  Dengan Peningkatan Tekanan dan Laju Alir Uap  Bertahap
Abstrak: Minyak akar wangi bagi Indonesia merupakan salah satu komoditas yang memberikan peranan penting untuk pendapatan devisa negara dari hasil ekspor minyak atsiri secara keseluruhan. Permasalahan utama yang dihadapi minyak akar wangi Indonesia khususnya di Garut adalah rendahnya rendemen (berkisar antara 0,6–0,8%) dan kualitas minyak (warna gelap dan bau gosong). Penelitian ini bertujuan untuk memperbaiki proses penyulingan minyak akar wangi sehingga dapat menghasilkan recovery dan kualitas tinggi melalui rekayasa disain proses penyulingan dengan peningkatan tekanan dan laju uap secara bertahap.
Keyword: 

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.
Keyword: