Judul: Clustering hasil operasi OLAP untuk datawarehouse HOTSPOT menggunakan algoritme K-means
Abstrak: Hayardisi (2008) has developed a datawarehouse as tool to analyze hotspot spread. That application gives information in form of table, crosstab and graph. We improve that aplication by adding webGIS module to visualize hotspot location easily. WebGIS developed using Mapserver and chameleon.To show the distribution problem of hotspot, we clusterize number of hotspot occurencies into four classes low, medium, high and very high using k-means algorithms.
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Judul: Development of a Data Warehouse Model for Online  Analytical Processing Applications for Karhutla Hotspot Data
Abstrak: Hotspot merupakan salah satu indikator untuk mengidentifikasi terjadinya kebakaran hutan dan lahan (karhutla). Spatial data warehouse hotspot diperlukan untuk membuka peluang dalam melakukan analisis yang lebih mendalam terhadap data hotspot, serta memfasilitasi pengambilan keputusan berbasis spatial yang lebih baik dalam konteks penanggulangan karhutla. Penelitian ini bertujuan membangun modul database untuk mengelola data hotspot yang bersumber dari website SiPongi, membangun spatial data warehouse pada sistem Spatial OLAP untuk Data Hotspot, dan membangun modul extract, transform, dan load (ETL). Metode penelitian meliputi identifikasi fitur dan atribut yang akan dilakukan pada pengembangan modul database hotspot, pembangunan spatial data warehouse, dan pengembangan modul ETL. Tahap terakhir adalah pengujian dengan menggunakan metode pengujian black box. Penelitian menghasilkan spatial data warehouse hotspot dengan menunjukkan bahwa data warehouse dapat melakukan operasi OLAP dengan benar sesuai dengan kebutuhan sistem., Hotspots are an indicator to identify forest and land fires (karhutla). Spatial data warehouse hotspots are needed to open up opportunities to carry out more in depth analysis of hotspot data, as well as to facilitate better spatial-based decision making in the context of forest and land fire prevention. This study aims to build a database module to manage hotspot data sourced from the SiPongi website, build a spatial data warehouse on the Spatial OLAP system for Hotspot Data, and build an extract, transform, and load (ETL) module. The research steps include identification of features and attributes that will be carried out in the development of the hotspot database module, the development of a spatial data warehouse, and the development of the ETL module. Finally, testing is carried out using the black box testing method. The study succeeded in producing a spatial data warehouse hotspot. The data warehouse can provide OLAP operations correctly according to system requirements.
Keyword: data warehouse, extract, transform dan load (ETL), spatial online  analytical processing (SOLAP)

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