Judul: Pertumbuhan dan Produksi Lamun Cymodocea rotundata dan Cymodocea serrulata di Pulau Pramuka dan Pulau Panggang, Kepulauan Seribu, DKI Jakarta.
Abstrak: Growth and production of seagrass of species Cymodocea rotundata and Cymodocea serrulata were conducted at Pramuka Island and Panggang Island, Kepulauan Seribu, using leaf and rhizome marking method. Period of this study in June-July 2011. The data were initiated on June 8, for seagrass marking leaf and rhizome for Cymodocea rotundata at Pramuka Island and for Cymodocea serrulata at Panggang Island. Studied biological growth parameters were rhizome length and diameter, leaf length, above ground production and below ground production. Result of the study showed that growth of Cymodocea rotundata faster than Cymodocea serrulata both leaf and rhizome growth. The mean absolute growth of rhizome length for Cymodocea rotundata is 9,36 cm/month and Cymodocea serrulata is 0,75 cm/month. The mean absolute growth of diameter rhizome for Cymodocea rotundata is 0,06 cm/month and 0,02 cm/month for Cymodocea serrulata. Leaf growth of seagrasses mostly be distinguished between new leaves and old leaves. The mean leaf growth of Cymodocea rotundata is 7,10 cm/month for new leaves and 4,97 cm/month for old leaves. The leaf growth of Cymodocea serrulata is 2,94 cm/month for new leaves and 1,64 cm/month for old leaves. The growth rate of new leaves faster than old leaves for both spesies. The leaf growth of Cymodocea rotundata faster than Cymodocea serrulata. The total production of Cymodocea rotundata is 36,26 gdw/m2/month was acquired from 21,17 gdw/m2/month of above ground production and 15,09 gdw/m2/month of below ground production. Cymodocea serrulata have lower total production is 26,39 gdw/m2/month was acquired from 15,80 gdw/m2/month of above production and 10,59 gdw/m2/month of below ground production. The conclusion of this study showed that the total production of seagrass Cymodocea, above ground production higher than below ground production for both spesies.
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Judul: Evaluation of Seagrass Habitat Conditions Through Analysis of Seagrass Community Structure on Pramuka Island, Seribu Islands
Abstrak: Lamun memiliki peran penting bagi kehidupan biota laut sebagai produsen primer dan penyusun habitat perairan. Kualitas air dan kandungan substrat berpengaruh terhadap kelimpahan lamun di suatu perairan. Penelitian ini bertujuan untuk menganalisis hubungan antara kualitas habitat yaitu kualitas air dan kandungan substrat dengan struktur komunitas padang lamun. Penelitian ini dilakukan pada bulan November 2023 di Pulau Pramuka, Kepulauan Seribu, DKI Jakarta. Pengambilan data dilakukan di tiga stasiun meliputi pengambilan data lamun dengan tiga line transect di setiap stasiun, pengambilan data kualitas air, dan pengambilan contoh sedimen. Hasil penelitian menunjukkan terdapat 5 jenis lamun yang ditemukan yaitu T. hemprichii, E. acoroides, C. rotundata, H. ovalis, dan S. isoetifolium. Kerapatan dan penutupan tertinggi didapatkan oleh jenis T. hemprichii di tiga stasiun. Hasil analisis menunjukkan, kerapatan lamun memiliki hubungan positif dengan suhu, salinitas, oksigen terlarut, dan C-organik namun memiliki hubungan negatif dengan pH dan substrat pasir kasar. Kandungan karbon organik pada substrat dipengaruhi oleh komposisi sedimen dan kandungan karbon pada lamun dipengaruhi oleh kerapatan. Hal ini menunjukkan kondisi lingkungan perairan berpengaruh terhadap struktur komunitas lamun., Seagrasses have an important role for marine life as primary producers and aquatic habitat builders. Water quality and substrate content affect the abundance of seagrass in a body of water. This study aims to analyze the relationship between habitat quality, namely water quality and substrate content with seagrass community structure. This research was conducted in November 2023 on Pramuka Island, Thousand Islands, DKI Jakarta. Data collection was carried out at three stations including seagrass data collection with three line transects at each station, water quality data collection, and sediment sampling. The results showed that there were 5 seagrass species found, namely T. hemprichii, E. acoroides, C. rotundata, H. ovalis, and S. isoetifolium. The highest density and closure were obtained by T. hemprichii species in three stations. The analysis showed that seagrass density had a positive relationship with temperature, salinity, dissolved oxygen, and C-organic but had a negative relationship with pH and coarse sand substrate. Organic carbon content in the substrate was influenced by sediment composition and carbon content in seagrass was influenced by density. This shows that the condition of the aquatic environment affects the structure of the seagrass community.
Keyword: C-organik, Kualitas air, lamun, sedimen

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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