Judul: Artificial induction on gonadal development of tor soro
Abstrak: Tor soro merupakan salah satu spesies ikan air tawar yang mempunyai nilai ekonomis dan budaya yang tinggi. Populasi ikan Tor soro di alam tergolong langka . Dewasa ini upaya untuk membudidayakan ikan Tor soro masih berlangsung, karena ikan ini merupakan jenis yang baru didomestikasikan dan reproduksinya belum mencapai optimal. Bertolak dari hal tersebut maka penelitian ini dilakukan sebagai upaya pengembangan teknologi manipulasi hormonal untuk mempercepat perkembangan gonad induk agar dapat meningkatkan potensi ikan Tor soro sebagai kandidat ikan budi daya. Penelitian ini bertujuan untuk mengkaji perkembangan gonad ikan Tor soro yang diinduk si dengan penyuntikan Pregnan t Mare Serum Gon adotropin (PMSG) dan estradiol - 17β serta menganalisis perubahan kimia darah terkait dengan status reproduksi.
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Judul: Induction of Gonad Maturation, Ovulation and Spawn in Torsoro (Tor soro) used Hormon Combination
Abstrak: Torsoro fish populations continue to decline due to overfishing and habitat destruction on the natural environment. Artificial breeding of fish has to do with hormonal stimulation, but the results are not optimal. The purpose of this study was to manipulate the reproduction of fish Torsoro through induction of gonadal maturation, ovulation, and spawning to increase the success of artificial breeding. Research on the induction of gonadal maturation performed by Oodev.Oodev containing PMSG and antidopamin that functions as a hormone regulator that works to stimulate the target organs (hypothalamic-pituitary-gonadal) for the initial development of the gonads. Induction of final maturation (final maturation) and spawning is done by using some hormones and their combinations; sGnRH (D-Arg6, Trp7, Leu8, Pro9Net)-LH-RH and 10 mg of domperidone (ovaprim), aromatase inhibitors and oytocin. Females Torsoro size 750-800 grams / fish, injected with oodev 0 ml, 0.5 ml oodev, oodev 1 ml, 1.5 ml oodev for induction of maturation. Fish injected every week for 5 weeks. Furthermore, female of Torsoro which is maturating gonads were injected with a combination of hormones that is ovaprim 0.5 ml / kg of fish, ovaprim 0.25 ml / kg of fish + HCG 500 IU / kg fish, ovaprim 0.25 ml / kg + 0.25 mg AI / kg; AI 0.50 mg / kg + 0.5 IU oxytocin (spawnprim) for final gonadal maturation and spawning of fish. The results showed that the injection of 1 ml Oodev give the best results in inducing gonadal maturation among other treatments. Injection with 1 ml oodev can induce the fish to mature gonads as much as 60%, with higher levels of estradiol-17ß as much as 102.12 ± 21.6 ng / ml, egg diameter of 3 mm. The best results showed that ovulation induction treatment combination of AI 0.50 mg/kg + 0.5 IU oxytocin (spawnprime) has a latency period of the fastest in stimulating ovulation 17.5 ± 0.52 h; fertilization rate of 96.60 ± 0.12%; hatching rate 81.05 ± 0.19%, and the survival rate of larvae reached 98.88 ± 0.41%. The results indicate that AI 0.50 mg / kg + 0.5 IU oxytocin (spawnprime) is the best hormone combination in inducing ovulation and spawning to semi-natural (spawning without stripping) on Torsoro. Induction of maturation of the gonads can be done by injecting Torsoro with Oodev that can induce axis hypothalamus-pituitary-gonads for vitellogenesis process through increased plasma estradiol that causes gonadal maturation in female fish. whereas, Spawnprim able to induce more effective for the final maturation of the gonads, which includes ovulation and spawning and reproductive performance are better than the results obtained ovaprim. Spawnprim also able to induce spawning reflex so that the fish can spawn with a semi-natural way (without stripping). The success in the induction of maturation by using Oodev, and also in the induction of ovulation and spawning by using Spawnprim, provide great opportunities to increase production of seed in artificial breeding Torsoro.
Keyword: maturation, ovulation, spawnprime, Torsoro

Judul: Application of Mel Frequency Cepstrum Coefficients (MFCC) as Feature Extraction on Phoneme Recognition with Probabilistic Neural Network (PNN) as Classifier
Abstrak: Voice recognition (speech recognition) is one field of study in voice processing. This technology can convert voice signals into a form of written information (text). With this technology, people can interact with a computer. MFCC feature extraction computes the cepstral coefficients by considering the human hearing. This research is a phoneme recognition using feature extraction MFCC and PNN as feature matching model. This study compares the coefficient, overlap, and the test data without noise and with noise. MFCC is used with 13, 20, 26 coefficients and 0%, 25%, 50% overlap. Noise is added by 30 dB, 20 dB and 10 dB. From the comparison of the three overlaps, produced the best accuracy at 50% overlap with an accuracy of 94,71%. From comparing the three coefficients, better accuracy resulting in coefficients of 20 and 26 with an accuracy of 97,12% at 50% overlap. After comparing between the coefficients of 20 and 26 with overlap of 25% then the coefficient 26 is obtained that better accuracy of 94,23%. This shows that in this study the coefficient 26 is the best. In this research, there are three noise variables. The variables are 10 dB, 20 dB, and 30 dB. The best accuracy reached when the noise variable is 30 dB rather than 10 dB or 20 dB because the accuracy has the closest accuracy compared by the accuracy when noise was not added into the data. When the noise variable is 30 dB, the percentage of accuracy is 85,3%.
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