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: Sistem Pengklasifikasian Entitas pada Pesan Twitter Menggunakan Ekspresi Regular dan Naïve Bayes
Abstrak: The widespread use of social networks like Twitter encourages some institutions to find out the entities that are discussed and the sentiment toward the entities. This research aims to build a system that can extract entities in tweets and classify the sentiment from the tweets. Entity extraction process is done using regular expressions. Writing regular expressions can capture the diverse entities. Sentiment classification is performed using naïve Bayes classification with Multinomial and Bernoulli models. Sentiment in this research consists of three classes, namely positive, negative, and neutral. Before entering the classification, tweets are normalized by replacing the non-standard words with the standard ones. The test results show that regular expression is quite effective for the entity extraction process. As for the results of the classification, naïve Bayes method produces high accuracy (96.75% for Multinomial and 96.33% for Bernoulli). However, the accuracy obtained depends on the neutral class which amounts to 97.88% for Multinomial and 99.95% for Bernoulli, while the positive class are 85.66% and 33.13% and negative class are 33.67% and 0%.
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