Judul: Induksi Mutasi Genetik Melalui Penggandaan Kromosom Kedelai (Glycine max L. Merr) Varietas Wilis dan Tanggamus dengan Kolkisin secara In Vitro
Abstrak: Induksi mutasi genetik secara in vitro dapat digunakan untuk mendapatkan keragaman genetik tanaman. Penelitian ini menginduksi terjadinya mutasi kromosom pada tanaman Glycine max L. Merr. Tujuan penelitian ini adalah mempelajari pengaruh perendaman kolkisin terhadap penggandaan kromosom tanaman Glycine max L. Merr secara in vitro. Penelitian in vitro dilaksanakan di Laboratorium Bioteknologi Tanaman, Departemen Agronomi dan Hortikultura, Institut Pertanian Bogor. Uji sitologi dilakukan di Laboratorium Mikro Teknik, Departemen Agronomi dan Hortikultura, Institut Pertanian Bogor. Bahan tanam yang digunakan dalam percobaan 1 adalah kotiledon planlet Glycine max L. Merr varietas Wilis hasil perkecambahan secara in vitro di media MS tanpa zat pengatur tumbuh, sedangkan bahan tanam yang digunakan dalam percobaan 2 adalah pucuk dari planlet Glycine max L. Merr varietas Wilis dan Tanggamus hasil perkecambahan secara in vitro. Bahan untuk uji sitologi adalah akar planlet tanaman Glycine max L. Merr setelah perlakuan, HCl 1 N, aquades, Orsein 2%, dan cat kuku yang tidak berwarna. Penelitian ini terbagi menjadi dua percobaan. Percobaan pertama adalah perlakuan lama perendaman dan konsentrasi kolkisin pada eksplan kotiledon dari kecambah varietas Wilis. Percobaan kedua adalah perlakuan perendaman kolkisin dan varietas pada eksplan pucuk kecambah varietas Wilis dan Tanggamus. Percobaan pertama disusun menggunakan Rancangan Kelompok Lengkap Teracak (RKLT) faktorial dengan dua faktor, lama perendaman (24 jam, 48 jam, dan 72 jam) dan konsentrasi kolkisin (0.01%, 0.02%, 0.03%, 0.04%, 0.05%). Percobaan kedua disusun menggunakan RKLT faktorial dengan dua faktor, konsentrasi kolkisin (0.02%, 0.04%, 0.05%) dan varietas (Wilis dan Tanggamus). Benih Glycine max L. Merr memiliki persentase eksplan hidup 100% pada varietas Wilis dan 93.33% pada varietas Tanggamus. Daya berkecambah benih sebesar 96.66% pada varietas Wilis dan 97.33% pada varietas Tanggamus. Pada ..dst
Keyword: Chromosome, Colchicine, Wilis, Tanggamus

Judul: Induksi Mutasi Melalui Penggandaan Kromosom Nilam (Pogostemon cablin Benth.) Varietas Sidikalang dengan Kolkisin secara In Vitro
Abstrak: The research aimed to study the in vitro genetic mutation induction through chromosome doubling of patchouli (Pogostemon cablin Benth) using colchicine. This research was conducted from February 2011 toDecember 2011 at Biotechnology and Micro Technique Laboratory, Department of Agronomy and Horticulture, IPB, Bogor. The research was used factorial design which arranged with Completely Randomized Design. The research was consist of 2 factors, concentrations of colchicine (0 %, 0,02 %, 0.04 % and 0.06 %) and the long immersion with colchicine (24 hours, 48 hours, and 72 hours). The experiment showed that consentrations of colchicine (0.02%, 0.04%, and 0.06%) were significantly affected to increase number of shoots, leaves, chloroplast, stomatas and size of stomata.Concentration of 0.04 % colchicine with 24 immer was produced the highest number of shoots and leave. Concentration of 0.02 % colchicine was produced the highest number of chloroplasts per cell and the lowest density of stomata Concentration of 0.06 % of colchicine and 48 hours immersion was produced the biggest size of stomata. Concentration 0.06 % colchicine with 24 hours immersion and concentration 0.04% colchicine with 72 hour immersion gained chimera. Few shoots had different number of leaves per bud than control. This experiment also can increased phenotypic variance of number shoots and leaves. Concentration of 0.02 % colchicine with 72 hours immersion has the highest coefficent of phenotypic variance and concentration of 0 % colchicine with 24 hours immersion has the lowest coefficient of phenotypic variance. Potential mutant plants which are produced 1189 plants.
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Judul: Sistem Navigasi pada Robot Pemadam Api Menggunakan Wall Following dan Logika Fuzzy
Abstrak: A robot needs a good navigation to complete its task. One way to provide navigation capabilities on robots is artificial intelligence. Navigation capabilities using artificial intelligence may be associated with the ability to accept input from a range of sensors. However, inputs from the environment are uncertain so that a simple modeling is not sufficiently representative. Fuzzy logic is expected to overcome these uncertainties. This research aims to develop the navigation system on a fire-fighter robot using wall following algorithms and fuzzy logic. The system is simulated on KRPAI 2013 environment where the robot is expected to move by following the wall, extinguishing the fire, and returning to home. It is shown that the robot has successfully completed the mission on KRPAI 2013 with a success rate of 87.5%.
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