Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part I: The Concept

This two-part article examines the global public health (GPH) information system deficits emerging in the coronavirus disease 2019 (COVID-19) pandemic. It surveys past, missed opportunities for public health (PH) information system and operational improvements, examines current megatrend changes to information management, and describes a new multi-disciplinary model for population-based management (PBM) supported by a GPH Database applicable to pandemics and GPH crises.

Global Public Health Database Support to Population-Based Management of Pandemics and Global Public Health Crises, Part II: The Database

This two-part article examines the global public health (GPH) information system deficits emerging in the coronavirus disease 2019 (COVID-19) pandemic. It surveys past, missed opportunities for public health (PH) information system and operational improvements, examines current megatrend changes to information management, and describes a new multi-disciplinary model for population-based management (PBM) supported by a GPH Database applicable to pandemics and GPH crises.

Medidor de parámetros eléctricos con visualización remota

This article presents an electrical parameter meter that measures voltage, current, and resistance, all parameters in different ranges of physical variables. With a remote communication, using a Bluetooth connection for the visualization of the data in an application designed to be used, either on a mobile device or a computer. This application has database support for the storage of information that is considered important, which in turn can perform the function of saving new data, updating and deleting. To create the application, the APP INVENTOR program was used and was linked through Arduino.

SISTEM INFORMASI DOKUMEN PENDUKUNG UJIAN AKHIR SEMESTER

The final semester examination is a routine agenda for each semester for the Program Studi Sistem Informasi Universitas Nusantara PGRI Kediri. In the implementation of the final semester exams, some of the supporting documents are the exam schedule, minutes of the exam and the list of attendees of the exam. In the minutes of the exam and the attendance list, some entries must be written by the supervisor. Some of the fields include data on day, date, exam time, exam room, course name, lecturer, class and supervisor's name. Each of these documents is made in 2 copies, so that the filling process can take up the time of the supervisor when carrying out supervisory duties. When examined, some of the entries are actually already in the exam schedule, just how to make the data contained in the schedule can be integrated to complete the fields. This problem exists because there is no system or database that is the basis for making these documents. This study aims to provide a solution by building an information system that helps produce final semester exam support documents, such as exam schedules, minutes of the exam and attendance list of participants, using the PHP programming language and MySQL database support so that the process of making these documents is done systematic and automatic system. The results of the study indicate that with the Information System Supporting the Semeste Final Examination Document, the making of documents can be done in an integrated manner, so that some of the entries no longer need to be handwritten anymore. In the end, the documents produced by the system can save writing time faster.

IMPLEMENTASI APLIKASI DATA MINING PADA APOTEK KIMIA FARMA BAHTERAMAS MENGGUNAKAN ALGORITMA APRIORI

Apotek Kimia Farma juga sudah menerapkan aplikasi dalam sistem penjualannya, seiring dengan berjalannya waktu data yang dihasilkan aplikasi penjualan pada apotek semakin melimpah dan membuat tumpukan data yang tidak bermanfaat, Sehingga dibutuhkan aplikasi yang dapat mempermudah pihak apotek dalam menganalisis data tranksaksi tersebut. Metode yang digunakan dalam pembuatan aplikasi Data mining yaitu metode MBA (market basket analysis ), dengan bantuan Algoritma Apriori. Proses yang dilakukan dalam implementasi Algoritma Apriori yaitu dengan cara mengambil data history penjualan dari Apotek Kimia Farma, kemudian menghitung nilai persentase tiap barang yang dibeli dalam database (support ), selanjutnya memangkas data yang tidak memenuhi syarat dari nilai minimum support, setelah semua pola frekuensi tinggi ditemukan, barulah dicari aturan asosisasi yang memenuhi syarat minimum confidence. Hasil dari aplikasi yang menggunakan teknik Data Minig dan Algoritma Apriori ini yaitu mampu menampilkan pola pembeliaan konsumen dengan menganalisa data transaksi yang ada, dan membantu pihak apotek untuk mengetahui pola konsumsi konsumen sehingga dapat meningkatkan strategi penjualan.