Judul: Migrasi Spatial Data Warehouse Hotspot ke Sistem Operasi Linux Ubuntu
Abstrak: Data warehouse technology in forest fire management is required to store the historical data of forest fires and observe the emergence of hotspots distribution through NOAA satellite. This technology has previously been used to develop a system that can synchronize map visualization and OLAP queries on a Windows operating system. The objective of this research is to migrate the system from the previous studies to the new operating system Linux Ubuntu, which will increase the performance of the system in conducting the OLAP operations. The result of this research shows that the system developed in Linux Ubuntu is faster than the system developed in Windows in displaying the map page, displaying the Jpivot page, and submitting the process queries
Keyword: OLAP., Linux Ubuntu, forest fire, data warehouse

Judul: Migrasi dan Implementasi Sistem Spatial Online Analytical Processing (SOLAP) Persebaran Titik Panas pada Sistem Operasi Linux Ubuntu
Abstrak: Satelit NOAA digunakan untuk mengamati persebaran kemunculan titik panas sebagai indikator kebakaran lahan dan hutan. Data histori titik panas yang dihasilkan oleh satelit tersebut sangat banyak dan menumpuk. Teknologi data warehouse dibutuhkan dalam penanggulangan kebakaran hutan dengan menyimpan data historis kebakaran hutan. Sebelumnya teknologi ini digunakan untuk mengembangkan sebuah sistem yang dapat mensinkronisasi visualisasi map dan query OLAP pada sistem operasi Windows. Tujuan penelitian ini ialah migrasi sistem spatial online analytical processing (SOLAP) persebaran titik panas dari penelitian sebelumnya Windows ke sistem operasi Linux Ubuntu. Hal ini meningkatkan kinerja sistem dalam melakukan operasi OLAP. Penelitian ini juga mengimplementasi sistem tersebut ke dalam suatu server sehingga dapat diakses dimanapun. Proses menampilkan halaman peta di Linux Ubuntu 1.26 kali lebih cepat dibandingkan Windows. Proses menampilkan halaman Jpivot di Linux Ubuntu lebih cepat 2.63 kali dibandingkan Windows. Proses olap4js di Linux Ubuntu lebih cepat 1.62 kali dibandingkan Windows.
Keyword: data warehouse, Linux Ubuntu, server, spatial OLAP, titik panas

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