Until now, Covid-19 is a phenomenal problem faced by almost all over the world, especially countries on the Asian continent. Not only causing casualties, but this virus also affects the wheels of the country’s economy. The purpose of this paper is to view and map the spread of the Covid-19 virus in Asia based on Total Cases, Total Deaths, Total Cured and Active Cases from 49 Countries. The research data in this paper were obtained from the Worldometer website sourced from WHO, CDC, NHC and others. In this proposed paper, the algorithm used is X-Means Clustering with the help of Rapidminer. The results of this proposed paper are in the form of grouping or mapping the spread of the Covid-19 virus in Asia which is divided into 4 zones, including the Red Zone (the number of active cases of Covid -19 and the death rate is very high) which consists of 1 country, the Orange Zone (number of cases active covid -19 and the mortality rate is quite high) consisting of 1 countries, the Yellow Zone (active case rate of Covid -19 and moderate mortality) consisting of 39 countries, and the Blue Zone (active case rate of covid -19 and low mortality rate) which consists of 8 countries.
Kasir adalah tempat melakukan transaksi  atau  pembayaran yang menjadi akhir dari sebuah transaksi jual beli antara konsumen dan produsen sehingga menghasilkan kepuasan pada masing-masing pihak.Penerapan Point of Sales pada aplikasi kasir portabel ini sebagai orientasi system penjualan yang akan membantu proses transaksi penjualan dan stok barang. Kedai Sari Kopi memiliki menu minuman dan makanan dimana minuman utama yang disuguhkan adalah kopi, kendala yang dihadapi antara kasir dan karyawan dapur adalah jarak yang cukup jauh mengakibatkan terkendala untuk proses pemesanan secara cepat  antara kasir dan karyawab dapur beradasarkan permasalahan diusulkanlah pengabdian masyarakat berupa pelatihan aplikasi kasir portable untuk membantu peningkatan pelayanan kedai sari kopi dan terpadunya laporan administrasi untuk pelaporan rugi laba sebagai bahan evaluasi untuk kedai sari kopi banjarbaru.Â
Assessment of lecturer's performance so far is done by excel calculation and still very subjektif. This study discusses and makes an Application Decision Support System Assessment Performance Lecturer Islamic University of Kalimantan MAB Faculty of Information Technology Using AHP and SAW Method to obtain results that accuracy and validity high computerized. The calculation of student quesioner, peer, leader and self using SAW method, then its value becomes new criteria combined with internal academic calculation that is learning, research, dedication and guidance using AHP method result is final decision 8.
Knowing the age of life of the population in a country is useful for evaluating the performance of the government, whether the government is able to prosper the population in general, and improve health status in particular. The purpose of this paper is to forecast the age of the population in several major countries in Asia, so that the government has a benchmark in determining policies to further improve the welfare and health of the population in their respective countries. The forecasting method in this paper will use Machine learning algorithms with Bayesian Regulation techniques. The research data used is data on population expectations in several Asian countries sourced from the United Nations: "World Population Prospect: The 2010 Revision Population Database". This research is a development of research that has been done before, using the Cyclical order technique. Previous research used 5 architectural models (3-5-1, 3-8-1, 3-10-1, 3-5-8-1 and 3-5-10-1), with the best model being 3-5-10 -1 which results in an accuracy of 97%, MSE 0.0008358919, training time of 27 seconds and an error rate of 0.03. Meanwhile, this research only uses 3 modified architectural models (2-5-1, 2-10-1 and 2-5-10-1), with the best model being 2-5-1. The result is that this study is better than previous studies. The benchmark is seen from a smaller error rate (0.02), better accuracy (100%), to a faster training time (5 seconds). So it can be concluded, Bayesian Regulation technique works better than Cyclical order and the 2-5-1 architectural model will be used to make predictions
Prakiraan hujan bulanan bisa digunakan untuk antisipasi banjir dan manajemen sumber daya air, keselamatan jiwa dan harta benda, serta keberlangsungan aktivitas ekonomi. Penggunaan Jaringan Syaraf Tiruan sebagai bagian dari Machine Learning adalah teknik yang sering digunakan selain numerical weather prediction dan metode statistik. Menggunakan peru-bah data bulan dan data empirical orthogonal function anomali suhu muka laut bulanan pada 12 lokasi menghasilkan nilai korelasi yang baik saat pembuatan model, tetapi hasil verifikasi menunjukkan akurasi yang baik didapatkan saat periode musim kemarau dan skill terjelek saat peralihan musim kemarau ke musim hujan.
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