Judul: Imposeks dan Logam Berat pada Keong Laut Strombidae Khususnya di Pulau Tinjil, Provinsi  Banten
Abstrak: Pencemaran logam berat yang disebabkan oleh tumpahan batu bara di Pulau Tinjil dapat memberikan dampak kronis terhadap biota laut. Salah satu efek logam EDC pada biota laut adalah munculnya gejala imposeks pada gastropoda, yaitu tumbuhnya alat kelamin jantan pada betina beberapa jenis gastropoda. Penelitian ini bertujuan menganalisis fenomena imposeks pada keong laut Strombidae, serta mengidentifikasi logam berat yang berpotensi menjadi pemicunya. Penelitian dilaksanakan di Pulau Tinjil, Kabupaten Pandeglang, Banten pada bulan Juni 2020. Pengambilan contoh dilakukan secara purposive sampling berdasarkan daerah yang diduga tercemar oleh pelayaran dan tumpahan batu bara dari kapal karam, namun karena sedikitnya sampel yang didapat, penelitian ini lebih banyak menggunakan data sekunder. Hasil studi menunjukkan tidak ditemukannya gejala imposeks maupun kandungan logam berat EDC yang tinggi pada populasi Harpago chiragra di Pulau Tinjil. Berdasarkan data sekunder dari penelitian di daerah lain, keong Strombidae yang menunjukkan gejala imposeks terdapat pada spesies Strombus gigas, Strombus canarium, dan Canarium urceus yang mana senyawa pemicunya organometal-Sn Tributiltin., Heavy metal pollution caused by coal spills on Tinjil Island can have a chronic impact on marine life. One of the effects of EDC metals on marine biota is imposex symptoms on gastropods, namely the growth of male genitalia in females of several types of gastropods. This study aims to analyze the imposex phenomenon on Strombidae sea conch, as well as identify heavy metals that have the potential to be the trigger. The study was conducted on Tinjil Island, Pandeglang Regency, Banten in June 2020. Sampling was carried out by purposive sampling based on areas suspected of being contaminated by shipping and coal spills from shipwrecks, but due to the small number of samples obtained, this study used mostly secondary data. The results of the study showed that neither imposex symptoms nor high EDC heavy metal content were found in the population of Harpago chiragra on Tinjil Island. Based on secondary data from studies in other areas, Strombidae snails that show symptoms of imposex are found in the species Strombus gigas, Strombus canarium, and Canarium urceus which trigger compound organometal-Sn Tributyltin.
Keyword: Coal, heavy metal, imposex, sea conch, Tinjil Island

Judul: Heavy Metal Content of Pb and Cu in the Sandfish Holothuria scabra (Jaeger, 1833) in Tinjil Island Waters and Deli Island Waters, Banten
Abstrak: Potensi sumberdaya perikanan di Kabupaten Pandeglang terdiri dari ikan pelagis, ikan demersal, ikan karang, kerang-kerangan, cumi-cumi, udang dan teripang. Muatan batubara yang tumpah di bagian selatan perairan Pulau Tinjil dan Pulau Deli dapat menyebabkan terjadinya akumulasi logam berat pada sumberdaya perikanan. Penelitian ini bertujuan menganalisis akumulasi logam berat Pb dan Cu pada daging teripang pasir (Holothuria scabra) di perairan Pulau Tinjil dan Pulau Deli, Provinsi Banten. Pengambilan sampel dilaksanakan pada tanggal 6 sampai dengan 7 Juni 2020 di Pulau Tinjil dan 24 sampai dengan 25 Juni 2020 di Pulau Deli. Analisis logam berat Pb dan Cu menggunakan metode ICP OES. Kandungan logam Pb pada daging teripang pasir di perairan Pulau Tinjil berkisar 0,10 mg kg-1 hingga 0,16 mg kg-1 dan perairan Pulau Deli berkisar 0,01 mg kg-1 hingga 0,99 mg kg-1. Kandungan logam Cu pada daging teripang pasir di perairan Pulau Tinjil berkisar 1,22 mg kg-1 hingga 2,33 mg kg-1 dan di perairan Pulau Deli berkisar 2 mg kg-1 hingga 2,38 mg kg-1. Kandungan logam berat Pb dan Cu yang terdapat di dalam daging teripang pasir (Holothuria scabra) masih berada di bawah batas maksimum yang telah ditetapkan menurut baku mutu. Hal tersebut menunjukkan, bahwa teripang pasir di perairan Pulau Tinjil dan Pulau Deli dapat dikonsumsi dengan jumlah yang tidak berlebih. Kemudian, akumulasi Pb dan Cu pada teripang pasir di perairan Pulau Tinjil dan Pulau Deli termasuk ke dalam kategori rendah, karena hasil faktor biokonsentrasi teripang pada logam Pb dan Cu di kedua pulau kurang dari 100., Potential fishery resources in Pandeglang Regency consist of pelagic fish, demersal fish, reef fish, shellfish, squid, shrimp and sea cucumbers. Spilled coal loads in the southern part of the waters can cause accumulation of heavy metals in sandfish. This study aims to analyze the accumulation of heavy metals Pb and Cu in the meet of sandfish (Holothuria scabra) in the waters of Tinjil Island and Deli Island, Banten Province. Sampling was carried out on 6 to 7 June 2020 on Tinjil Island and 24 to 25 June 2020 on Deli Island. Analysis of heavy metals Pb and Cu using the ICP OES method. The content of Pb metal in sandfish meat in Tinjil Island waters ranged from 0.10 mg kg-1 to 0.16 mg kg-1 and in Deli Island waters it ranged from 0.01 mg kg-1 to 0.99 mg kg-1. Cu content in sandfish meat in Tinjil Island waters ranged from 1.22 mg kg-1 to 2.33 mg kg-1 and in Deli Island waters it ranged from 2 mg kg-1 to 2.38 mg kg-1. The content of heavy metals Pb and Cu in the meat of sandfish (Holothuria scabra) is still below the maximum limit set according to quality standard. This shows that sandfish in the waters of Tinjil Island and Deli Island can be consumed in moderation. Then, the accumulation of Pb and Cu in sandfish in the waters of Tinjil Island and Deli Island is included in the low category, because the results of the bioconcentration factor of sandfish on Pb and Cu metals on both islands are less than 100.
Keyword: Heavy metal, Deli Island, Tinjil Island, Sandfish

Judul: Pengembangan Model Pengenalan Wajah pada Ruang Eigen dengan Jarak Euclid dengan 2DPCA
Abstrak: Face recognition is an issue that is based on object recognition. Objects identified with specific and measurable characteristics. In the process of face recognition methods quite a lot that can be used, one using the Euclidean distance function method. Euclid's method is the method by comparing the image of testing with the minimum distance to the image database training. Feature extraction techniques used in face recognition to find important features of the training image database that will be a reference. One is a technique introduced by Yang and Zhang in 2004 was 2DPCA (2 Dimensional Principal Component Analysis). Our experiments with used 2DPCA for feature extraction techniques at face recognition. The results achieved that the performance of the model with a percentage correct of 98.75%
Keyword: