Judul: Rancangan Pemanfaatan Air Embung di Kampus IPB Darmaga Bogor.
Abstrak: Air hujan dan limpasan permukaan dapat ditampung oleh bangunan air berupa embung. Air embung dapat dimanfaatkan sebagai sumber air alternatif untuk memenuhi kebutuhan air bagi kegiatan pertanian di Kampus IPB Darmaga. Pemanfaatan sumber daya air yang optimal berkaitan dengan peningkatan hasil pertanian. Tujuan penelitian ini adalah menghasilkan rancangan sistem penyaluran air embung di Kampus IPB Darmaga. Penelitian ini dilakukan dengan mendesain sistem perpipaan dan perencanaan pompa. Berdasarkan hasil penelitian dihasilkan rancangan sistem penyaluran limpasan air dari kolam penampung ke tangki menggunakan sistem perpipaan. Limpasan air (overflow) embung dialirkan ke kolam penampung dan kemudian disalurkan ke tangki dengan menggunakan pompa submersible dan menghasilkan debit sebesar 2 liter/detik. Tangki penampung berukuran 5 m x 5 m x 2 m.
Keyword: embung, pompa, sistem penyaluran, sistem perpipaan

Judul: Perencanaan Desain Embung di Kampus IPB Darmaga Bogor
Abstrak: Kampus IPB Darmaga membutuhkan sumber daya air alternatif untuk mencegah terjadinya kekurangan air akibat perubahan musim yang tidak menentu. Oleh karena itu tujuan dari penelitian ini adalah merancang embung sebagai penyimpan air hujan serta menghitung anggaran biayanya. Embung dirancang di lahan kosong antara kawasan Fakultas Peternakan dan Fakultas Kedokteran Hewan IPB dengan bentuk sesuai kontur tanpa penggalian serta pemadatan. Berdasarkan hasil pemetaan, bentuk embung mengikuti garis kontur pada elevasi 190 mdpl dengan kedalaman 2 m dan volume tampungan embung sebesar 2089 m3. Pelimpah berupa urugan batu yang dilapisi geomembran atau kanvas beton dengan lebar outlet 2 m dan tinggi 0.10 m. Embung dengan lapisan geomembran lebih efektif dari dengan lapisan kanvas beton, karena hanya membutuhkan dana sekitar Rp 1.7 M dan waktu pembangunan 46 hari. Biaya pembangunan dengan kanvas beton lebih mahal karena materialnya belum diproduksi di Indonesia.
Keyword: desain, embung, geomembran, kanvas beton, pelimpah

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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