Judul: Reproduction of The Amphidromous Greenback gauvina Bunaka Gyrinoides (Bleeker 1853) in Cisolok River, Sukabumi, West Java
Abstrak: Ikan bobosoh atau Bunaka gyrinoides (Bleeker 1853) merupakan salah satu spesies ikan amfidromus air tawar dari famili Eleotridae. Meskipun ikan ini menarik, namun penelitian tentang ikan ini masih jarang dilakukan terutama tentang aspek reproduksinya. Oleh karena itu, penelitian ini difokuskan untuk menganalisis nisbah kelamin, musim pemijahan, pola pemijahan, dan potensi reproduksi ikan bobosoh di Sungai Cisolok, Palabuhanratu. Sampel ikan bobosoh diperoleh dari hasil tangkapan selama Desember 2020-November 2021 dengan menggunakan beberapa metode penangkapan, yakni electrofishing, jala lempar, pancing, dan liftnet. Ikan bobosoh yang terkoleksi selama penelitian 360 ekor yang terdiri atas 202 ekor ikan jantan dan 158 ekor ikan betina. Nisbah kelamin ikan bobosoh jantan dan betina di Sungai Cisolok tidak 1:1 (1:0,78). Ikan bobosoh memijah pada bulan Maret dan November, dengan puncak pemijahan terjadi pada bulan Maret. Ikan bobosoh memiliki pola pemijahan serentak dan dapat menghasilkan jumlah telur relatif sebanyak 246 hingga 1.073 butir/g bobot ikan (panjang 63-107 mm dan bobot 2,99-11,62 g)., The Greenback Gauvina, or Bunaka gyrinoides (Bleeker 1853), is a freshwater amphidromous fish from the Eleotridae family. Despite being a fascinating species, research on this fish is still rare especially about the reproductive aspect. Therefore, this study focuses on analyzing the sex ration, spawning season, spawning pattern, and reproductive potential of the greenback guavina in the Cisolok River, Palabuhanratu. Samples of the greenback guavina were collected between December 2020 and November 2021 using various fishing methods, including electrofishing, throwing nets, fishing rods, and lifts. During the study period, 360 greenback guavina were captured, with 202 of them identified as male and 158 as female. It was found that the sex ratio of the greenback guavina in the Cisolok River was not 1:1 (1:0,78). Greenback guavina usually spawns during March and November, with the highest spawning activity in March. This species shows a total spawning pattern and can produce a relative egg count of 246 to 1,073 eggs/g fish weight (63-107 mm in length and 2.99- 11.62 g in weight)
Keyword: amphidromous, Cisolok, greenback guavina, reproductive

Judul: Biologi Reproduksi Ikan Menga (Sicyopterus lagocephalus, Pallas 1770) di Sungai Cibareno, Sukabumi, Jawa Barat
Abstrak: Ikan menga (Sicyopterus lagocephalus) merupakan spesies amphidromus yang keberadaanya dapat ditemukan di Sungai Cibareno. Rencana pembangunan Bendung Caringin di Sungai Cibareno diduga dapat mempengaruhi pola reproduksi dan kelangsungan hidup ikan menga. Penelitian ini bertujuan menganalisis aspek biologi reproduksi ikan menga (Sicyopterus lagocephalus, Pallas 1770). Penelitian dilakukan selama empat bulan (Mei, Juni, Juli, dan September 2022) di Sungai Cibareno, Sukabumi, Jawa Barat. Total ikan contoh yang tertangkap selama penelitian berjumlah 163 ekor, terdiri atas 106 ekor ikan jantan dan 57 ekor ikan betina. Kisaran panjang total ikan menga yang tertangkap 32-150 mm. Nisbah kelamin sebesar 1:0,54 (tidak seimbang). Faktor kondisi ikan menga berkisar 0,98- 1,09. Ukuran pertama kali matang gonad ikan menga jantan dan betina berada pada ukuran 87,5 mm dan 78,5 mm. Ikan menga pertama kali tertangkap pada ukuran 99,95 mm. Puncak pemijahan ikan menga terjadi pada bulan Mei dan di bagian hilir sungai. Potensi reproduksi ikan menga berkisar 24.320-73.810 butir telur dengan pola pemijahan total spawner.
Keyword: Cibareno River, gonad, red-tailed goby, reproductive biology

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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