scholarly journals Rancang Bangun Sistem Pendataan Hardware

2021 ◽  
Vol 3 (2) ◽  
pp. 412-418
Author(s):  
Alvin Anzas Islami ◽  
Siti Ramadhani
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Programming Languages ◽  
Data Storage ◽  
Database Management System ◽  
Storage Medium ◽  
Collection System ◽  
Data Collection System ◽  
Effectiveness And Efficiency ◽  
Tremendous Impact

Currently, advances in information technology have had a tremendous impact in all aspects of life, especially PTIPD UIN SUSKA RIAU also requires information technology that can assist employees' work. With information technology,  data at PTIPD UIN SUSKA RIAU can be processed quickly and efficiently to increase the effectiveness and efficiency of completing work and the scope of communication and information. The processing of hardware data collection documentation carried out by PTIPD is still carried out outside the system, causing the data collection documentation process to be longer and less efficient. The solution given to overcome this problem is to make a hardware data collection system. Making a hardware data collection system included in the system provides information about the list of goods and officers. While the software used is a DBMS (DataBase Management System) used as a data storage medium is MySql, the programming languages ​​PHP, CSS, JavaScript, and HTML are used as interfaces, which aim to make it easier users and administrators to manipulate data.

scholarly journals TERMINAL BARANG SEBAGAI SISTEM PENDATAAN BARANG DI KOPERASI SMP NEGERI 23 SEMARANG BERBASIS WEB

2019 ◽  
Vol 15 (2) ◽  
pp. 71
Author(s):  
Saifur Rohman Cholil ◽  
Amelia Widya Octa Kuncoro Putri
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Junior High School ◽  
Technology Implementation ◽  
Unified Modeling Language ◽  
Added Value ◽  
Collection System ◽  
Data Collection System ◽  
Unified Modeling ◽  
Paperless Office

<em>Computerized systems are now commonly used including school cooperatives, but not all school cooperatives maximize the use of computer systems. Administrative activities and data collection are still done manually, by recording all activities into the book according to the activities carried out. The development of information technology at this time, efficiency can easily be applied using the implementation of information technology. The expectation of this information technology implementation is that cooperative data management is not done manually. Making a cooperative data collection system will simplify, accelerate cooperative staff in inputting goods data, search goods and sales and purchase transactions. So that hope can be achieved with the help of cooperative data collection system. The method used in building a cooperative data collection system is the prototyping method, where later this system can be developed again. Cooperative goods data collection system is built with the PHP programming language and database used is MySQL, while in system depiction, in general, using the Unified Modeling Language. The facilities contained in this system are the process of purchasing transactions, sales transaction processes, managing goods, managing suppliers, printing sales reports, printing purchase reports, printing profit reports and managing users. Besides aiming to facilitate cooperative staff in managing cooperative goods data, it also provides added value for the administration of Semarang State Junior High School 23 in the implementation of the paperless office</em>

A Numerically Coded File of Operative Procedures Derived from a Free Text Data Collection System : A Measure of the Accuracy

1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong
Keyword(s):  
Data Collection ◽  
Pap Smear ◽  
Operative Procedures ◽  
Free Text ◽  
Collection System ◽  
Process Data ◽  
Text Data ◽  
Data Collection System ◽  
History Of ◽  
Correlation System

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.

Salama SHIELD Foundation

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
Data Collection ◽  
Monitoring Data ◽  
Collection System ◽  
Design Data ◽  
Data Collection System ◽  
Program Officer

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.

Implementing a Redcap-based research data collection system for mental health

2021 ◽  
Author(s):  
Arturo Marroquin Rivera ◽  
Juan Camilo Rosas-Romero ◽  
Sergio Mario Castro ◽  
Fernando Suárez-Obando ◽  
Jeny Aguilera-Cruz ◽  
...  
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Research Data ◽  
Collection System ◽  
Data Collection System
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