Judul: Water Quality Status of Kemayungan-Linduk Coastal Waters, Banten  Bay Based on Aquatic Physical and Chemical Parameter
Abstrak: Wilayah pesisir Kemayungan-Linduk terletak di Teluk Banten (Provinsi Banten), merupakan kawasan pemukinan yang memiliki potensi tinggi di berbagai sektor termasuk budidaya perikanan dan perikanan tangkap. Berbagai aktivitas antropogenik dan perubahan alami faktor lingkungan memperngaruhi masuknya bahan pencemar ke dalam perairan sehingga berdampak pada perubahan kondisi kualitas air dan biota di sekitar wilayah perairan tersebut. Penelitian ini bertujuan untuk menganalisis status kualitas perairan pesisir di wilayah Kemayungan-Linduk melalui dua metode, yaitu perhitungan Indeks Pencemaran (IP) dan Indeks CCME (Canadian Council of Ministers of the Environment) dalam rangka pengembangan perikanan. Pengamatan kualitas air dilakukan secara in-situ dan ex-situ dengan pengambilan sampel air pada bulan Februari hingga April 2021 di enam stasiun. Parameter kualitas air yang diamati adalah suhu, kecerahan, kekeruhan, TSS, pH, salinitas, oksigen terlarut, nitrit, nitrat, dan total fosfat. Hasil penelitian secara spasial dan temporal pada enam stasiun pengamatan memiliki nilai bervariasi yang berkisar antara 0,93 hingga 6,45 yang mengindikasikan bahwa status perairan air tergolong dalam kondisi baik hingga tercemar sedang, sedangkan nilai CCME berkisar antara 33,53 hingga 63,90 yang mengindikasikan mutu perairan tergolong kurang baik hingga buruk., The Kemayungan-Linduk coastal area is located in Banten Bay (Banten Province), which is a residential area that has high potential in various sectors including aquaculture and capture fisheries. Various anthropogenic activities and natural changes in environmental factors influence the entry of pollutant materials into the waters, resulting in changes in water quality conditions and biota around the waters. This research aims to determine water quality of coastal waters in the Kemayungan-Linduk region using two methods, namely calculating the Pollution Index (IP) and the CCME Index (Canadian Council of Ministers of the Environment) in the context of fisheries development. Water quality observations were carried out in-situ and ex-situ by taking water samples from February to April 2021 at six stations. The water quality parameters observed were temperature, transparency, turbidity, TSS, pH, salinity, dissolved oxygen, nitrite, nitrate and total phosphate. The results of spatial and temporal research at six observation stations have varying values ranging from 0,93 to 6,45 which indicates that the status of the water is classified as being in a good condition to moderately polluted condition, while the CCME value ranges from 33,53 to 63,90 which indicates Water quality is classified as marginal to poor.
Keyword: Kualitas air, Indeks CCME, Indeks Pencemaran

Judul: Analysis of Water Pollution Level in Domas Coastal Waters Based on Some Physical and Chemical Parameters
Abstrak: Wilayah pesisir di Teluk Banten diketahui mengalami pertumbuhan penduduk dan industri yang cukup tinggi, yang dapat berpengaruh bagi lingkungan perairan. Pantai Domas merupakan salah satu wilayah perairan yang terletak di bagian pesisir timur Teluk Banten. Penelitian ini bertujuan menentukan tingkat pencemaran perairan Pantai Domas, Teluk Banten berdasarkan beberapa parameter fisika dan kimia perairan. Penelitian ini dilaksanakan selama enam bulan, sejak bulan Agustus 2021 hingga bulan Januari 2022 pada enam stasiun pengamatan. Parameter kualitas air yang diamati pada penelitian ini adalah suhu, TSS, kekeruhan, kecerahan, kedalaman, pH, DO, salinitas, amonia, nitrit, nitrat, dan fosfat total. Nilai parameter kualitas air yang diperoleh dibandingkan dengan baku mutu air laut menurut PP No. 22 Tahun 2021. Status mutu air ditentukan dengan menggunakan Indeks Pencemaran dan Metode STORET yang mengacu pada Kepmen LH No. 115 Tahun 2003. Hasil analisis menunjukkan bahwa perairan Pantai Domas terindikasi tercemar sedang, baik berdasarkan Indeks Pencemaran (5,7-5,9) maupun Metode STORET (-14 hingga -24)., The coastal area of Banten Bay has a high population and industrial growth which can affect the aquatic environment. Domas Coastal Waters are one of the water areas located on the east coast of Banten Bay. This study aims to determine the water pollution level in Domas Coastal Waters, Banten Bay, based on some physical and chemical parameters. Sampling was carried out for six months, from August 2021 to January 2022 at six stations. The water quality parameters observed in this study were temperature, TSS, turbidity, transparency, depth, pH, DO, salinity, ammonia, nitrite, nitrate, and total phosphate. The water quality data was compared with water quality standards based on Indonesian Government Regulation No. 22 of 2021. Water quality status was determined using the Pollution Index (PI) and the STORET Method according to Decree of the Minister of the Environment No. 115 of 2003. The results show that Domas Coastal Waters are indicated to be moderately polluted, both based on the Pollution Index (5,7-5,9) and the STORET Method (-14 to -24).
Keyword: Domas, environment, water quality parameters

Judul: Penggunaan Trie dalam Membangun Frequent ltemset Menggunakan Algoritmc FPGrowth
Abstrak: FP-growth algorithm search for frequent itemset using the FP-tree data structure which is a prefix tree structure based on pattern growth algorithm. Prefix tree in FP-Growth uses the trie structure in the relationship pattern among the items in the database. Trie is a tree structure that uses strings as key, where each descendant represents a character or prefix. To find frequent itemset, FP-growth algorithm build prefix tree recursively. However, recursive function may need longer time than the Iterative (Manolopoulos 2003). Goal of this research is to create alternatives iteratively to the development of frequent iternset using trie on the FP-Growth. Research was conducted on several stages for the development of the frequent itcmset using a trie, stage through pruning and without pruning. In the last stages of testing is done using the input parameters, enter the difference in support, the number of transactions, and the items involved. Testing stage compare the execution time in the computing process through the stage with pruning and without pruning. Thing that affects the execution time is the number of items involved in development process of the frequent itemset. Frequent itemset development with the pruning process will he faster than without pruning, hecause at the time to build a combination of frequent itemset, infrequent items are not in the development process.
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