The COVID-19 pandemic is the first and foremost health crisis in the world.  Coronavirus is a collection of viruses from the subfamily Orthocronavirinae in the Coronaviridae family and the order of Nidovirales.  This group of viruses that can cause disease in birds and mammals, including humans.  In humans, coronaviruses cause generally mild respiratory infections, such as colds, although some forms of disease such as;  SARS, MERS, and COVID-19 are more deadly. Anticipating and reducing the number of corona virus sufferers in Indonesia has been carried out in all regions.  Among them by providing policies to limit activities out of the house, school activities laid off, work from home (work from home), even worship activities were laid off.  This has become a government policy based on considerations that have been analyzed to the maximum, of course. Therefore this research was carried out as an anticipation step towards the Covid-19 pandemic by predicting the spread of Covid-19, especially in Indonesia. The research method applied in this research is problem analysis and literature study, collecting data and implementation.  The application of the naive bayes method is expected to be able to predict the spread rate of COVID-19 in Indonesia. The results of the Naive Bayes method classification show that 16 data from 33 data were tested in Covid-19 cases per province with an accuracy of 48.4848%, where of the 33 data tested in the Covid-19 case per province tested there were 16 data that were successfully classified correctly.

No abstract

No abstract

Taking advantage of technological developments that are developing very quickly is a profitable thing, especially regarding the government's efforts to reduce the burden on underprivileged people, namely by providing Direct Cash Assistance or abbreviated as BLT. Being on target is a must so it is really useful for those in need. The system method used is the TOPSIS method or Technique For Order Preference by Similarity to Ideal Solution, using the TOPSIS method, it is hoped that the assessment will be more precise because it is based on the value of criteria and weights that have been determined so that it will get more accurate results.

Bantuan diakonia merupakan tugas dan panggilan gereja dalam jemaat dan masyarakat. Pelayanan diakonia dapat diberikan kepada seluruh warga jemaat yang memenuhi kriteria. Penentuan penerima bantuan diakonia untuk warga jemaat GPIB Jemaat Bahtera Kasih Makassar belum menggunakan sistem yang akan merekomendasikan untuk pengambilan keputusan dalam menentukan jemaat yang layak menerima doakonia, sehingga terjadi subyektifitas dalam penentuan kelayakan penerima diakonia tersebut. Tujuan penelitian ini adalah akan dianalisis Metode Weighted Product (WP) dan Simple Additive Weighting (SAW) untuk pengambilan keputusan penentuan kelayakan penerima diakonia. Cara perhitungan metode WP dan metode SAW ini menentukan nilai bobot untuk setiap atribut (kriteria) yang kemudian akan dilanjutkan dengan proses perangkingan alternatif terbaik dari sejumlah alternatif. Kemudian dari hasil perhitungan dengan metode-metode tersebut dilakukan uji sensitiftas dengan perhitungan penambahan bobot setiap bobot kriteria. Penelitian ini menghasilkan perbandingan metode WP dan metode SAW melalui hasil uji sensitivitas.