Judul: Dinamika Interaksi Sistem Imun dan Virus Papiloma Manusia Menggunakan Pemodelan Berbasis Agen.
Abstrak: Akibat dari kemajuan ilmu pengetahuan di bidang metode pemodelan dan simulasi sistem kompleks saat ini tidak mustahil jika fenomena alam yang terjadi dapat disimulasikan menggunakan metode Pemodelan Berbasis Agen (PBA). Interaksi sel darah putih, antibodi, vaksin, virus, dan sel yang ada di dalam tubuh manusia merupakan salah satu sistem kompleks yang dapat disimulasikan menggunakan metode PBA. Penelitian ini bertujuan membuat model simulasi interaksi sel darah putih, antibodi, vaksin, virus, dan sel, membuat aturan untuk kelima agen yang sesuai dengan perilakunya di dalam tubuh, dan menganalisis interaksi kelima agen dengan variasi waktu pemberian vaksin dan masa inkubasi virus. Dalam penelitian ini setiap agen diasumsikan memiliki atribut dan aturan masing-masing sehingga mempengaruhi interaksi antar agen. Interaksi yang terjadi pada agel sel akan dianalisis sifat fisisnya dengan menggunakan teori kinetik gas berupa jalan bebas rata-rata.
Keyword: agen, atribut, aturan, jalan bebas rata-rata

Judul: Agent-Based Modeling of SARS-CoV-2 Virus Infection Dynamics and Vaccination Effects
Abstrak: Salah satu virus yang menjadi penyebab pandemi COVID-19 dalam beberapa tahun terakhir yaitu SARS-CoV-2. Penelitian ini memodelkan interaksi antibodi, sel darah putih, sel epitel, vaksin COVID-19 dan virus SARS-CoV-2 menggunakan pemodelan berbasis agen. Pemodelan berbasis agen digunakan untuk simulasi suatu sistem yang kompleks sesuai aturan-aturan dalam fenomena nyata yang terjadi di alam. Seluruh agen memiliki aturan yang didasarkan dari karakteristik dan perilaku setiap agen ketika berinteraksi didalam tubuh. Simulasi dilakukan dengan enam skenario dan satu skenario tambahan. Setiap skenario dibedakan dengan waktu ketika virus mulai menginfeksi. Hasil simulasi menunjukkan bahwa virus yang menginfeksi setelah pemberian vaksin dosis lanjutan (booster) dapat di tangani antibodi dengan optimal dibandingkan sebelum pemberian vaksin primer dosis lengkap. Pada simulasi jangka panjang untuk skenario tambahan menunjukkan bahwa diperlukan vaksin dosis keempat untuk mempertahankan efektivitas vaksin. Virus yang berinteraksi dengan sel epitel dan melakukan infeksi-replikasi akan meningkatkan nilai entropi. Nilai entropi akan menurun apabila virus dapat ditangani dengan baik oleh antibodi., One of the viruses that caused the COVID-19 pandemic in the last few years is SARS-CoV-2. This study modeled the interaction of antibodies, white blood cells, epithelial cells, SARS-CoV-2 virus and COVID-19 vaccine by using the agent based modeling. The agent-based modeling is applied to simulate a complex system based on the rules in real phenomena which occur in nature. All of the agents have rules that are based on the characteristics and behaviour of each agent when interacting inside the body. The simulation was done in six scenarios and one additional scenario. Each scenario was distinguished by the time when the virus started to infect. The result of the simulation showed that the virus that was infected after the giving of the booster dose vaccine could be handled more optimally than the previous giving of the primary dose vaccine. Long term simulations for additional scenarios indicated that there was a need for a fourth dose vaccine dose to maintain the effectiveness of the vaccine. Viruses that interacted with the epithel cell and did a replicate-infection would increase the total entropy value, the entropy value would decrease if the virus could be handled properly by the antibodies.
Keyword: agent-based modeling, entropy, vaccine, virus

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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