BPS re-implement the Special Survey of Household Non-profit Organization (SKLNPRT) quarterly. SKLNP is done every year on a quarterly basis. At this time the event entering the fourth quarter.
The purpose of this survey is to obtain quarterly LNPRT consumption patterns, in addition to improving data quality LNPRT quarterly consumption, where consumption patterns are used to compile the GDP components from the use quarterly.
LNPRT is formal or non-formal institutions established by individuals or groups of people in order to provide goods / services for free or at prices that are not economically significant (involved in the production of non-market) to its members / household / community groups. LNPRT not controlled by the government.
This survey is the Panel for each quarter. The classification LNPRT used include the type of institution:
1. Civil society organizations (CSOs) and political parties (political party)
2. Social Organization (Social Organizations)
3. Professional Organization (Orprof)
4. Association of Social / Cultural / Sports and Hobbies
5. Non Governmental Organization (NGO)
6. Religious Institutions
7. Organization of Humanitarian Assistance / Scholarship (CBOs)
To Rembang alone, the number of samples SKLNPRT many as 10 institutions for each quarter by counting the number of officers by 5 people. If the sample allocation can not be met then be replaced with another sample of the type of organization with priority organizations, NGOs, CBOs, and associations of social / cultural, sports and hobbies.
Enumeration schedules SKLNPRT:The first week of April (the first quarter), the first week of July (the second quarter), the first week of October (the third quarter), the third Sunday in December (fourth quarter)
SKLNPRT expected fourth quarter data collection is completed in accordance with a predetermined schedule. Hopefully the implementation SKLNPRT in Rembang can run smoothly and on time, completion of the problems that might occur during data collection in the field, which in turn can achieve optimal results and a higher quality of data generated. (S.R - Nerwilis)
