Judul: Pemanfaatan Fotovoltaik sebagai Penggerak Motor Kipas pada Mesin Pengering Pes - MP
Abstrak: Kebutuhan energi nasional semakin meningkat seiring dengan laju pertumbuhan ekonomi nasional, sehingga diperlukan adanya upaya untuk menjamin ketersediaan energi secara berkesinambungan. Sampai saat ini kebutuhan energi dalam negeri masih didominasi oleh minyak bumi (energi konvensional), sehingga diperlukan teknologi baru untuk menemukan sumber energi pengganti. Energi surya merupakan salah satu energi non-konvensional yang dapat langsung diubah men j adi energi listrik dengan menggunakan fotovoltaik. Salah satu pemanfaatan fotovoltaik adalah sebagai penggerak motor kipas pada mesin pengering, dimana fungsi kipas pada mesin pengering adalah untuk mempercepat proses pengeringan. Penggunaan fotovoltaik ini dapat mengatasi ketergantungan motor kipas terhadap motor diesel khususnya di daerah pedesaan yang belum terjangkau oleh jaringan listrik. Hal ini juga merupakan upaya untuk mengurangi ketergantungan terhadap kebutuhan energi konvensional.
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Judul: Modifikasi desain dan uji unjuk kerja mesin pengempa briket semi mekanis tipe kempa ulir (screw pressing)
Abstrak: Energi merupakan bagian yang paling penting dalam setiap kegiatan manusia. Konsumsi energi di Indonesia semakin lama semakin meningkat seiring dengan bertambahnya jumlah penduduk dan peningkatan kebutuhan energi di segala sektor terutama sektor industri dan pertanian. Selama ini bangsa Indonesia sangat tergantung pada energi yang berasal dari fosil. Padahal semakin lama energi tak terbarukan ini semakin menipis ketersediaannya. Penandatanganan kebijakan energi oleh Presiden Indonesia pada Februari 2006 semakin menyadarkan kita akan pentingnya pemanfaatan energi alternatif terbarukan.
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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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