Judul: Perancangan Algoritme Pembentukan Combined Graph dan Simplified  Graph pada Metode Knowledge Graph
Abstrak: Text graph adalah konsep dan relasi yang direpresentasikan dalam bentuk graf. Jika dua atau lebih text graph digabungkan maka akan terbentuk suatu combined graph. Tujuan dari penelitian ini adalah merancang algoritme untuk menggabungkan beberapa text graph menjadi suatu combined graph dan merancang suatu algoritme untuk menyederhanakan combined graph menjadi graf yang lebih sederhana (simplified graph). Langkah-langkah dalam menggabungkan text graph adalah sebagai berikut: mengambil beberapa text graph, menganalisis beberapa text graph tersebut, membuat aturan dari analisis beberapa text graph tersebut, menguji aturan tersebut dengan beberapa text graph lain hingga diperoleh aturan yang baku. Langkah-langkah dalam menyederhanakan combined graph hampir sama dengan penggabungan text graph. Hal yang membedakannya pada saat analisis beberapa text graph.
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Judul: Perbandingan Metode Knowledge Graph dan Metode Conceptual Graph sebagai Teknik Representasi Teks Berbahasa Indonesia
Abstrak: Knowledge graph (KG) and conceptual graph (CG) methods are mathematical concepts that can be simplified to understand the content of a text. To determine the effectiveness of both methods, this thesis compares both of them. The objective of this research is to compare the knowledge graph and conceptual graph methods in representing the Indonesian text. The Research carried out by analyzing sentences and creating graph on the sample sentences using both methods. The study states that the knowledge graph and conceptual graph methods can be applied as the Indonesian text representation techniques. Based on the aspect of the process, KG is easier than CG because KG has limited number of concepts and relationships. In the aspect of the results, KG has focused on the concept which is explained, meanwhile CG has focused on the concept which is explaining. Based on the aspect of long time goal, KG supports the automatical abstraction of text, effectively and efficiently, whereas CG does not yet support for abstraction. Knowledge graph method is more feasible for an automatic procedure.
Keyword: conceptual graph, graph, knowledge graph, text

Judul: Durability of Specific Immunoglobulin (Ig) Y Againts Influenza and Covid-19 in Sunscreen
Abstrak: The benefit of specific immunoglobulin Y (Ig Y) as an active ingredient in personal care products such as sunscreen has not been properly studied. Our study aims to evaluate the reliability of specific IgY against influenza and the COVID-19 virus in a sample sunscreen product. Specific IgY influenza and COVID-19 viruses were inserted in the sample sunscreen at two concentrations of 0.1% and 0.25%. Three treatments were observed: control (C) sunscreen without IgY, treatment 1 (T1) sunscreen with 0.1% IgY, and treatment 2 (T2) sunscreen with 0.25% IgY. Organoleptic observations were carried out to monitor changes in aroma, color, and texture, and sunscreen sampling was done every week for 6 weeks. The durability of IgY was evaluated using an enzyme-linked immunosorbent assay (ELISA) and a neutralization assay. Organoleptic observation from weeks 1 to 6 showed consistency in its aroma, color, and texture. Enzyme-linked immunosorbent assay and neutralization assay (NA) results of the T1 and T2 groups showed negative results except for sample T1 at week 5, which showed a positive result in the Influenza A ELISA. Based on the results, it seems that IgY concentrations of 0.1% or 0.25% were not optimal. However, this negative result might be due to low concentration of the IgY and the presence of beeswax, which inhibits IgY and causes it to dissolve in distilled water, thus preventing it from being detected in the assay.
Keyword: Immunoglobulin Y, Sunscreen, Influenza, COVID-19, Biological Activity