scholarly journals Unfinished Agenda: Understanding Poverty and Determination of Targets through the Data Collection of the Poor Population (Study Program of Jalin Matra PFK in Probolinggo District, East Java)

2019 ◽  
pp. 762
Author(s):  
Nunuk Dwi Retnandari ◽  
Astri Tantrina Dewi
Keyword(s):  
Data Collection ◽  
Program Implementation ◽  
Age Groups ◽  
Collection System ◽  
Study Program ◽  
Data Collection System ◽  
The Difference ◽  
Verification Process ◽  
Definition Of ◽  
Poor Population

Many programs have been designed and implemented to get the population out of poverty. However, the results achieved are not always satisfactory. Probolinggo District has implemented the Jalin Matra PFK as a program specifically designed for women to be free from their poverty conditions. However, this program still produces the same output, where women poor population is not much reduced. An in-depth investigation of the understanding of the concept of poverty and the data collection system that was carried out found the cause of the failure of the PFK program. The definition of poverty described in Indonesia is not always in accordance with the local concept of poverty. Besides, the definition of poor program recipients is poor population decile 1. On the other hand, the purpose of the program is empowerment. Therefore, the initial definition of this program is not quite correct. The inaccuracy of this definition has implications for incorrect data collection. It is also exacerbated by the implementation of an integrated data collection system that is distorted by several things. Defining different productive age groups between agencies is the first distortion. The difference in authority in determining the number of program recipients is the subsequent distortion. Community and local officials’ perceptions of poverty based on cultural poverty also distort the data verification process. As a result, an error occurred in the database as a basis for program implementation.

scholarly journals Information System For Web Based-Report Household Violence In Denpasar

2018 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Yoga Divayana ◽  
Linawati Linawati ◽  
N.M.A.E.D. Wirastuti ◽  
Luh Ika Dhivtyasari Suryani
Keyword(s):  
Domestic Violence ◽  
Data Collection ◽  
Child Protection ◽  
Collection System ◽  
Web Based ◽  
Data Collection System ◽  
Report Data ◽  
Women And Children ◽  
Verification Process

Domestic violence is the most common case in the community. Women and children are victims of domestic violence. In Denpasar, Indonesia, currently, data collection system of victims of domestic violence (KDRT) is conducted by the Women's Empowerment and Child Protection Agency. It is still has some limitations because it is operating manually. Through this web-based data collection system of domestic violence, a complaint report on domestic violence can be done digitally so it does not need to report manually to the authorities. In this system, the victims will be given freedom to show or hide their identity. This system receives input filled form of violent reports; next, the complaints report can be known by others (not admin) anonymously. After the complaint report get into in the system, it will be done the next process which is verification. The results of the verification process will determine the validity of complaint reports. After passing the verification process, report data will be recorded in the system and will be done the formulation of follow-up to the action of the case by the legislation authorities.

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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