Judul: Clustering Dokumen Skripsi Berdasarkan Abstrak dengan Menggunakan Bisecting K-Means
Abstrak: The need of thesis data searching increases every year along with the increase in the number of students. Search of reference by tracing documents one by one takes a lot of time. Therefore, a system that is capable of clustering documents automatically is necessary. This study developed a system to perform clustering of theses automatically based on their abstracts. It used bisecting Kmeans method to cluster the data. The data in this research were from IPB’s Computer Science bachelor theses, comprising 78 abstracts in Indonesian and 113 abstracts in English. The result showed that clustering the documents using bisecting K-means could be done with the best value of i threshold (internal cluster distance) of 0.67 for the Indonesian abstracts resulting in a rand index of 0.867, while the best i threshold value for the English abstracts was 0.55 resulting in a rand index of 0.862.
Keyword: Bogor Agricultural University (IPB), clustering, Bisecting K-Means

Judul: Clustering konsep dokumen berbahasa Indonesia menggunakan Bisecting K-means
Abstrak: In recent years, we have seen a tremendous growth in the volume of text documents available on the Internet, digital libraries, news sources, and company-wide intranets. This has led to an increased interest in developing methods that can efficiently categorize and retrieve relevant information. Concept indexing (CI) is a dimensionality reduction algorithm. Recently, techniques based on dimensionality reduction have been explored for capturing the concepts present in a collection of documents. In this research we investigate concept indexing as interpretation concept in Indonesian documents for clustering documents using bisecting K-means. This research showed concept-based documents clustering was achievable and that it increased the F-measure up to 38% as compared to word-based clustering.
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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