WannaCry Data Collection System Design and Tutorial

Author(s):  
Darren Rogers ◽  
Vikram Kanth
DEPIK ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 125-129
Author(s):  
Ratu Sari Mardiah ◽  
Sri Yenica Roza ◽  
Edy Miswar

Data collection system in Fish Landing Base of Dumai was traditionally. Data written manually using books and collected by agents. This fact illustrates the weakness of the catch data collection system that occours. The effect is low data accuracy and requires a longer time in reporting. Data collection system based on technology will facilitate the process and important to do. The purpose of this study was to design a data collection system for fish catches landed at Fish Landing Base of Dumai. The research was conducted in February-June 2020 in Dumai city. The method used observation, interviews and literature review. Data analysis is used the process of analyzing data, literature review, analysis of existing systems, analysis of new systems and system design using data flow diagrams (DFD), entity relationship diagrams (ERD) and HIPO. System design starts from input, output and database design. The data design inputted is fishermen data, fishing gear, fish production and price of day, fish distribution, customer data and data employees. The output data are reports of user data, fishing gear specifications, fish production and fish distribution. The database is structured and presented using a flow chart. A technology-based of catch data collection system designed to improve the efficiency of the presentation of the reports needed for agencies.Keywords:Fish LandingDFDReportAgencies


2017 ◽  
Vol 2 (1) ◽  
pp. 105-116 ◽  
Author(s):  
Al Husain ◽  
Abdul Haqy Aji Prastian ◽  
Andre Ramadhan

Sistem absensi saat ini perlu memerlukan pembaharuan sistem yang baru. Karena dengan melakukan hal ini akan berdampak sangat baik bagi perusahaan dilihat dari sisi efisien, efektif, dan cepat. Dalam hal ini perusahaan berlomba membuat sistem absensi yang dapat berjalan pada teknologi saat ini seperti smartphone android. Hal tersebut membutuhkan sebuah design rancangan sebelum sistem ini dibuat sehingga dapat mengetahui permasalahan dan solusi pada sistem yang akan dibuat. Design sistem absensi online digunakan untuk mempercepat absen hanya melalui smartphone android yang dimiliki oleh masing-masing karyawan. Hal ini membutuhkan jaringan lokal yang berjarak hanya didalam lingkungan perusahaan sehingga karyawan tidak dapat absen diluar perusahaan. Guna membuat sebuah laporan dengan metode sistem diatas, memerlukan metode pengumpulan data sistem yang berjalan, wawancara, observasi, analisa sistem yang diusulkan, dan metode prototipe dan testing sebagai pembentukan sistem usulan yang memadai sebagai alternative solusi terbaik dari permasalahan yang ada. Kata Kunci : Sistem, Absensi, Design, Jaringan The current system requires absences need renewal of the new system. Because by doing this will have an impact is very good for the company as seen from the side of efficient, effective, and fast. In this case the company raced to make attendance system that can run on current technologies such as android smartphone. It requires adesign draft before this system was created so as to know the problems and solutions on the system to be created. Online attendance system design used to speed up the timesheet only through android smartphone which is owned by each employee.This requires a local network which is just in a corporate environment so that employees can not be absent outside of the company. To create a report with the methodabove, the system requires a method of data collection system that runs, interviews,observation, analysis of the proposed system, and the method of prototype and testing as the establishment of an adequate proposal system as alternative best solution of existing problems. Keywords : System, Absence, Design, Network  


1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong

A free text data collection system has been developed at the University of Illinois utilizing single word, syntax free dictionary lookup to process data for retrieval. The source document for the system is the Surgical Pathology Request and Report form. To date 12,653 documents have been entered into the system.The free text data was used to create an IRS (Information Retrieval System) database. A program to interrogate this database has been developed to numerically coded operative procedures. A total of 16,519 procedures records were generated. One and nine tenths percent of the procedures could not be fitted into any procedures category; 6.1% could not be specifically coded, while 92% were coded into specific categories. A system of PL/1 programs has been developed to facilitate manual editing of these records, which can be performed in a reasonable length of time (1 week). This manual check reveals that these 92% were coded with precision = 0.931 and recall = 0.924. Correction of the readily correctable errors could improve these figures to precision = 0.977 and recall = 0.987. Syntax errors were relatively unimportant in the overall coding process, but did introduce significant error in some categories, such as when right-left-bilateral distinction was attempted.The coded file that has been constructed will be used as an input file to a gynecological disease/PAP smear correlation system. The outputs of this system will include retrospective information on the natural history of selected diseases and a patient log providing information to the clinician on patient follow-up.Thus a free text data collection system can be utilized to produce numerically coded files of reasonable accuracy. Further, these files can be used as a source of useful information both for the clinician and for the medical researcher.


Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan

Monitoring data at the Ugandan Salama SHIELD Foundation revealed perfect repayment rates in its microfinance program. But rather than take these data at face value, a diligent program officer set out to determine if the data might be concealing other stories. In his efforts to investigate the truth behind the data, he made a number of decisions about what data to collect—and, importantly, what not to. But, as this case demonstrates, actionable data is only half the story; right-fit resources and systems are necessary to turn data into action. Readers will think critically about what data are necessary to answer key operational questions and will design data collection instruments to deliver these data. They will also consider ways of applying the CART principles to strengthen the data collection system and determine where the organization should focus its monitoring efforts.


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