Abstract

In 2005, BPS do the Social Economic Colletion (PSE05), which aims to get the data in the form of micro poverty households directory that deserves a direct cash assistance (BLT) in 2005-2006. Given the data turns PSE05 considered better results compared to a database available in local government. Nevertheless, it is recognized that the data from PSE05 not perfect. The study of 56 universities found the data from PSE05 still contains 8 percent and 22.36 percent error inclusion exclusion error (Coordinating Minister for People's Welfare 2005). In addition to BLT program, data PSE05 also used in targeting households on several national programs, such as the Health Insurance of the Poor (HIP) and cheap rice program for the poor (Raskin). These programs succeeded in reducing poverty levels, poor households proved as much 17.8 percent in 2006 down to 15.4 percent in 2008. But be aware that the collection PSE05 an activity that is great for BPS, BPS so many other activities are pending at this time. After PSE05 activities, in 2007 the BPS also conducted the data collection for the household conditional direct cash assistance program (Family Hope Program / PKH) in 2007. The collection of data to support this program called Basic Health Care Survey and Education 2007 (SPDKP07). Results from SPDKP07 considered much better than the data from PSE05 because only less inclusion and exclusion errors of his. This is because SPDKP07 implemented only in 953 districts / cities were selected and a much larger budget.

Geographic coverage

Coverage provincial representative to the level of the village / district.

Analysis unit

The unit of analysis is the individual in the household, from each selected household collected information about the general state of each member of the household including name, relationship to head of household, sex, and age.

Universe

This survey covers all household members.

Kind of data

Sample survey data

Sampling procedure

In measuring poverty, BPS uses the concept of the ability to meet basic needs (basic needs). For macro data and information poverty, the data source is the National Socio-Economic Survey (NSES) BPS conducted every year. For micro poverty data, in 2005 the BPS has conducted Social Economic Colletion (PSE05), which aims to get a database of poor households who deserve direct cash assistance (BLT) in 2005-2006. In addition to BLT program, data PSE05 also used in targeting households on several national programs, such as the Health Insurance of the Poor (HIP) and cheap rice program for the poor (Raskin). After PSE05 activities, in 2007 the BPS also organize poverty micro data collection for household database program recipients of Direct Conditional Cash Transfer (Family Hope Program) in 2007 and 2008 through a survey of Primary Health Care and Education 2007 (SPDKP07).

Mode of data collection

Face-to-face [f2f]

Abstract

The alteration of social targetting toward poor society has become the main priority in many countries for the last two decades as the answer for financial constraint and changing policy to increase program efectivness in fighting against poverty. Indonesian government has implemented a number of anti-poberty programs in large scale during the last couple years which have helped reduce poverty. Such programs are Direct Cash Aid (BLT), Conditional Cash Aid (BTB) and Health Insurance (Askeskin). Targetting improvement on those programs which is intended to guarantee the limited resources to be delivered to the right households, the poor households, instead of the have ones, becomes a continuous challange to guarantee the eficiency of those programs. Meeting the needs to increase the targetting result, National Planning Buro (BAPPENAS) has requested a technical fund to gain better system in targetting the poor households to the World Bank. The findings of this research will lead to new methods to identify poor households who deserve to receive any aid programs established by the government. This research is a colaboration between World Bank Of Jakarta (WBOJ), Bureau of Statistic Centre (BPS), and academic researchers of Jameel Poverty Action Lab (J-PAL) in Massachusettes Institute of Technology (MIT)

Geographic coverage

Coverage provincial representative to the level of the village / district

Analysis unit

The unit of analysis are every household member, from every selected household collected general information regarding name, relationship with Head of household, sex and age.

This survey will also ask a number of questions regarding household consumption, as well as a wide range of household characteristics and participation in community activities. In each village will be selected one RT (RT) and in each selected RT will be interviewed 9 household, which one of it is the Head of RT household.

Universe

Household

Kind of data

Sample survey data

Sampling procedure

This research project is made up of two stages. The first stage that will be conducted earlier is an end-line survey regarding households expenditure toward the random household samples in the same area as in the second stage. This survay will inquire about household consumption and various characteristics as well as household participations in social activities.

End-line survey will be conducted in three province, they are Central Java, North Sumatra, and South Sulawesi. They aproximately include 640 villages spread all over 12 regencies that randomly selected of 50% urban areas and 50% rural areas. There will be one Rukun Tetangga (RT) in every village and for every chosen RT will be taken 9 households to be interviewed, including the head of the RT. Thereby, there will be 5760 households all together that are going to be interviewed.

In the second stage of the research, BPS and the society facilitators will test a number of different methods to determine eligible households for anti-poverty programs. The methods are Proxy Means that using serial of indicators to predict per capita expenditure and using per capita income as the basis of target assigning, elegibility rules decentralization, and social participation for household eligibility assessment. Every method will generate poor household lists in RT/RW.

In this survey pilot, we will visit Rukun Tetangga (RT)/Rukun Warga (RW)/Lingkungan/Dusun/Lorong of the chosen village and we will only interview 9 households for every village. In order to have sample of households that are going to be interviewed, we must find out the whole number of household in that neighbors/Rukun Warga/Lingkungan/Dusun/Lorong. Thus, there must be preliminary listing of the household first

Mode of data collection

Face-to-face [f2f]

Abstract

Susenas is a survey designed to collect socio-demographic data in large area. The data collected were related to the fields of education, health / nutrition, housing / environmental, socio-cultural activities, consumption and household income, trips, and public opinion about the welfare of household. In 1992, Susenas data collection system has been updated, the information used to develop indicators of welfare (Welfare) contained in the module (information collected once every three years) drawn into the core (group information is collected each year).

The questions are included in the core is intended to obtain the information and to monitor the things that may change each year. It is also useful for short-term planning, as well as questions that can be associated with a question module, such as expenditures. Questions in the modules required to analyze problems that do not need to be monitored every year or analyze issues like government intervention, such as poverty and malnutrition.

Core module combined data can generate analysis to answer questions such as, whether the poor can get benefit from the appropriate educational program launched by the government (e.g., 9-year compulsory education program), who are able to take advantage of government subsidies in education, is there any kind -certain types of birth control that is more widely used by poor people than others, whether there is a link between working hours and fertility, then whether there is a link between sanitation and health status.

Since 1993 the core Susenas sample size is enlarged to generate simple statistics for the district / city level. This new development gives a new dimension to the Susenas data analyst and in that time, several counties have started to develop the indicators / statistics on the welfare of each.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

Susenas 1993, covering a sample of 204.416 households in all regencies / cities in Indonesia, The household samples are divided into core samples (202,592) and module (65, 664). The number of the same core with the total sample is the module sample is a part of coresample but with a smaller total number. In other words all selected core samples where 136,928 specific households are selected cores only. The 65,644 selected households for enumeration are simultaneously Core also Module (Core + Module). households that are located in specific enumeration areas and specific households that are located in a regular enumeration area are not chosen as samples.

Sampling procedure

1. Design of 1993 Susenas sampling is a three-phase sampling design, sampling methods are used for both urban and rural areas are the same.

• Phase 1, in each district / municipality selected number of enumeration areas in a systematic. Number of selected enumeration areas (both for urban and rural area) of KCI KCI 1 and 2 are the same.

• Phase 2, each selected enumeration areas selected by pps with a segment group size number of households in segment group.

• Phase 3, the sampling frame of households selected 16 households systematically. 16th house is called the core households. Note: All households selected core is also selected households Iodine Salt Consumption Survey Household 1993.

1. Module Samples for the design of Susenas 1993 The design of the sample used in the sample selection for 1993 is a draft Susenas module samples three-phase.

• Phase 1, selected a systematic enumeration of the sampling frame, the core list of selected enumeration areas.

• Phase 2, each selected enumeration areas selected by pps with a segment group size number of households in the enumeration.

• Phase 3, selected 16 households from each selected enumeration systematically. The 16 selected households are sampled households, both for core and modules, called core-module household Susenas 1993.

1. Draft Sampling for submodules susenas 1993 (SKTIR 1993) is a two-phase sampling design.

• Phase 1, from 1993 Susenas selected enumeration module systematically selected number of segment groups.

• Phase 2, from 16 households in 1993 Susenas module selected by 4 households systematically.

Thus, the sample is a subsample of the sample SKTIR Susenas module 1993. SKTIR sample selection of households conducted by the designated supervisor (supervisor SKTIR) using VSEN96.DSRT list. The supervisor subsequently handed Register VSEN96.DSRT to supervisor / 1993 Susenas elected SKTIR territory, as a guide to visit the selected households. SKTIR households are households numbered sample households selected in column 1 Block IV List VSEN96.DSRT circled. Sampling was conducted in BPS enumeration areas, while the formation and enumeration sample selection, and the selection of the sample of households conducted by the superintendent of Susenas 1993

Mode of data collection

Face-to-face [f2f]

Abstract

SUSENAS (National Socio-economic Survey) was held for the first time in year 1963. In the last two decades, up to year 2010, SUSENAS was conducted every year. SUSENAS was designed to have 3 modules (Module of Household Consumption/Expenditure, Module of Education and Socio-culture, and also Module of Health and Housing) and each module should be conducted every 3 years. Household Consumption/ Expenditure Module of SUSENAS shall be conducted in year 2011.

To improve the accuracy of data result and in line with the increased frequency of household consumption/expenditure data request for quarterly GDP/GRDP and poverty calculation, data collection of household consumption/expenditure, it is planned that starting in 2011 it should be held quarterly. Each year, collecting data shall be conducted in March, June, September, and December.

In accordance with the 5-year cycle, in year 2012, BPS (Central Statistical Agency) shall have planned Survei Biaya Hidup-SBH (Cost of Living Survey) with the aim to generate a commodity package and a weigh diagram in the calculation of Consumer Price Index (CPI). Data of food and non-food consumption expenditures as well as household characteristics collected in SBH and SUSENAS has the same concept/definition, but different implementation time. In order to be more efficient in the utilization of resources of the two surveys and to have a better quality of results achieved, in year 2011 a trial of SUSENAS and SBH integration shall be conducted in 7 cities (Medan, Sampit, Denpasar, Kudus, Bulukumba, Tual, and South Jakarta).

Poverty data, CPI/Inflation data, GDP/GRDP are BPS strategic data that have to be released on time. Therefore, planning, field preparation, processing, and presentation of data SUSENAS 2011 activities and trial of integrating SUSENAS and SBH must be in accordance with the set schedule.

Activities of SUSENAS 2011 preparation shall be conducted in year 2010, covering activities of workshop/training of chief instructor with the aim to synchronize the perception toward the concept/definition as well as procedure and protocol of survey implementation. National instructor training will also be conducted in year 2010.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

Susenas 2011 cover 300,000 household sample spread all over Indonesia where each quarter distribute about 75,000 household sample (including 500 households additional sample for Survey in Maluku Province). The result from each quarter can produce national and provincial level estimates. Meanwhile from the cummulative four quarter, the data can be presented until the district/municipality level.

Sampling procedure

Sampling method is the structured three phase sampling with the following method:

a. First phase, selection of nh census area from Nh with pps (Probability Proportional to Size)with sizeas the total households of SP2010 (M i ).The census area is then randomly allocated into four quarters. Total sampling will be nh= 30,000 census areas thus there will be 7,500 census areas for each quarter. From 7,500 census areas of the First Quarter of the National Socio-Economic Survey (Susenas), some 5,000 census areas are systemically selected for the First Quarter of the 2011 National Labor Force Survey (Sakernas) and will be used again for the second, third and fourth quarter

b. Second phase, to select: - two BS from each selected census area of the second and third quarter of Susenas, and the first quarter which is also selected for the first quarter of Sakernas, which then from the selected census blocks, is randomly allocated one for Susenas/SBH, and one [for] Sakernas, or - one BS from each selected census area of the fourth quarter and first quarter only for Susenas with pps with a household size of SP2010-RBL1.

c. Third phase, from each selected census block for Susenas, a number of regular households are systemically selected (m=10) based on the updated SP2010-C1 household listing by using the VSEN11-P List. Names of household head (KRT) are extracted from SP2010-C1 for name, address and education level variables, followed by field updates.

Mode of data collection

Face-to-face

Abstract

Central Statistics Agency (BPS) function provides the data necessary for the development of sectoral and regional (spatial). In the framework of regional development, the data relating to the potential of an area is a key input into consideration of policy makers and regional planners, when making priorities. At the level of the lowest administrative area, information about the potential of an area of village-level role and function in the planning, monitoring and evaluation of rural development / urban comprehensive and integrated. For example, in the context of poverty alleviation programs, the data Village Potential (Podes) is used to identify the backward villages of suspected areas inhabited by the poor.

BPS has to collect data on the potential of the rural areas / villages, known as Podes, since 1980 in conjunction with the implementation of the Population Census 1980. Further data collection Podes performed in conjunction with the implementation of the census. In the past 10 years, data collection Podes done 3 times, which is in conjunction with the implementation of the Population Census, Census of Agriculture, and the Economic Census. In the decade 1990-2003 PODES data collection conducted in conjunction with the implementation of the census, in addition to this in 1994 and 1995 had done with respect to Instruction program Underdeveloped Villages (IDT).

As part of the implementation activities of the 2006 Economic Census (SE2006), Podes data collection activities conducted in April 2005, known as Data Collection Podes SE2006.

In general purpose data collection Podes SE2006 is: 1. Provide data on the potential / state of development in the rural / urban and development, which includes the social, economic, infrastructure, as well as the potential that exists in the rural / urban. 2. Provide data for a variety of purposes in particular with regard to the needs of regional planning (spatial) in each region. 3. Completing the preparation of sampling frame / sampling frame for further statistical activities. 4. Provide information for the purposes of determining the classification / updating urban and rural villages, and the level of progress. 5. Provide basic data for the preparation of small area statistics (Small Area Statistics).

Geographic coverage

Coverage of national, representative to the level of villages / wards.

Analysis unit

Village

Universe

Village

Kind of data

Census/enumeration data

Sampling procedure

PODES data collection done by census (complete enumeration). Enumeration is done through direct interviews by enumerators (PCL) to the village chief / headman, designated staff or other relevant sources. Survey results created two (2) copies of orange and blue, 1 (one) copy sent to the orange color BPS Regency / City and 1 (one) double blue as Archives in villages / wards. PCL is a Statistics Officer District Coordinator (CWC) or other officer (statistically partners) that have been trained that number is adjusted to the needs / field conditions and preferably controlled work area. A PCL record approximately 10 (ten) village. Staff BPS Regency / City act as attendant supervisor / examiner (PML). A PML oversees about 4 (four) PCL.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Just as Podes ST2003 ago, editorial and data recording Podes SE2006 done in BPS / municipalities. After checking the completeness and fairness of stuffing (clean data), then sent to the BPS. Recording the result file merging data from BPS Regency / City in BPS. After checking the completeness and fairness of the data between the district / city, clean data is already sent to the BPS (Sub. Regional Resilience Statistics Directorate, Directorate of Social Defence Statistics). The software will be used to data processing (recording and checking reasonableness) prepared by BPS. Podes data processing officer in BPS or BPS Regency / City will be trained specifically according to the schedule. Further explanation of the data processing system will be delivered later, especially in the training of personnel data processing Podes SE2006. In order for the data processing is completed on time, responsible for the implementation of Podes in district / city or province must adhere to a predetermined schedule.

Abstract

Since 1992 the Central Statistics Agency (BPS) through the National Social Economic Survey (SUSENAS) collected the data on education, health, housing, consumer / household expenses, and other socioeconomic every year, which is referred to as data Cor. In addition, they also collected the special data (modules) which is different every three years, namely the data consumption and household spending, education and social culture, as well as housing and health. These data are very useful for the government to plan the sectoral and cross- sectoral development.

To meet the data needs of the government about the development of poor people every year, Panel Susenas collected the consumption and expenditure module data with the total sample of 10,000 households in 2003. The number of samples is only able to estimate the national poverty, while the demands of the availability data of poverty rate up to provincial level is increasing.

In 2007, the number of samples of Panel Susenas was expanded to 68,800 households. It must be done to obtain the poverty rate up to the provincial level, and this number of sample was held back on implementing the Panel Susenas 2008. Besides, the implementation field was conducted by the teams which are coordinating Team and some counter (PCS). With the system, they expected that the completion field can be more quickly and the quality of the field result can be better.

Preparatory activities of Panel Susenas 2008 are conducted at the end of 2007, includes intama workshops and Innas training that aims to make the same perception of the concepts / definitions and procedures, then practice survey.

Geographic coverage

Nasional coverage, representative to village level

Analysis unit

Unit of Analysis is every household which received the Unconditional Cash Transfer

Kind of data

Census/enumeration data

Sampling procedure

Design of 2008 Susenas sampling is a two-phase sampling design. Sampling for urban area and rural area is to be conducted separately. Procedure of 2008 Susenas sampling for a district/city is as follows: • Phase 1, from master sampling frame (MSF) of normal census block of 2006 Economic Census result (SE06) are to be selected census block nh (h = 1, for urban; h = 2, for rural) in a probability proportional to size (pps) method whereas size is the number of households from P4B census result (April 2003). For census block that has contents of more than 150 households, selection of one census sub-block in PPS-systematic is required with the size of household number of P4B census result. Household listing is conducted to all selected census blocks/ sub-blocks. • Phase 2, from every selected census blocks/sub-blocks, then, to be selected m = 16 households from the listing result systematically. The estimation of provincial levels (Panel Susenas) samples to estimate provincial level is the subsample SUSENAS 2008 (July 2008). The sample size for estimation of the provincial in national is a number of 4,300 census blocks covering 68,800 households. The sampling of census blocks was carried out systematically. Listings and sampling of households in the census block is a sub-sample SUSENAS 2008 (July 2008) was conducted in early February 2008 for the implementation of the enumeration in March 2008. The selected households in March SUSENAS 2008 is a panel samples for the implementation of Susenas in July 2008 , March 2009 and March 2010.

Mode of data collection

Face-to-face [f2f]

Abstract

The Indonesia Social and Economic Survey (SUSENAS) is designed in order to collect social population data, which is relatively in the wide scope. In 1992, SUSENAS data collecting system was renewed. Information which is used to arrange population welfare indicator in module (questionnaire is collected every three year) is joined in to core (questionnaire is collected every year). At that time being, SUSENAS provides tools that can be used to supervise population welfare level, formula government program, and analyze population welfare improvement programs impact.

Questionnaire core, consist some questions asking about condition and member of population attitude, which have tight relationship with welfare aspects. Here are some example question “are you still attend school”, “are you in health disruption”, “how do you take care your health”, “who was the birth helper”, “how long the baby got the wet nursing” and immunization to the children be asked. Beside all question above, also been collected education info, household economic activity, and especially for the ever- married women have been asked about age when she got married, number of child, and Family Planning attitude.

Questionnaire module has taken turns to be collected in 3 years. At the first year, household income and expenditure were collected, at the second year household welfare socio-culture, trips and criminality module were collected, and finally at the last year health, nutrition, education and housing were collected. Information is module is more detail and comprehensive question if it is compared to the same topic question in the core.

Questionnaire core are collected in order to get important information to anticipate some changes that could be happened every year. They are also helpful for short- term planning, and the questions could be related to module's questions such as expenditures. Questionnaire module is useful to analyze problems, which are unneeded to be supervised every year or to analyze government intervention, such as poverty and malnutrition.

Since 1993, sample size of SUSENAS core is enlarged to produce simple statistic in Regency/ Municipality level. This-new progress gave data analyzers a new dimension. At that time being, some Regencies have been arranged their people welfare statistic/ indicator.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

Susenas 2012 cover 300,000 household sample spread all over Indonesia where each quarter distribute about 75,000 household sample (including 500 households additional sample for Survey in Maluku Province). The result from each quarter can produce national and provincial level estimates. Meanwhile from the cummulative four quarter, the data can be presented until the district/municipality level.

Kind of data

Sample survey data [ssd]

Sampling procedure

From the master sampling frame (Nh enumeration areas) were retractable sample enumeration areas in a probability proportional to size (pps) method, nh acquired 30,000 enumeration areas. Then divided into 4 quarters so that each quarter 7,500 enumeration areas. The next stage selected one census block (BS) in a probability proportional to size (pps) method, whereas size is the number of households from SP 2010 RBL1. The last stage, of each BS Susenas been selected for a number of common household (m = 10) based on the results of systematic updating of listing of households using SP 2010 C1 VSEN2011 List - P. Then do the enumeration of 75,000 households.

Mode of data collection

Face-to-face [f2f]

Abstract

Perubahan metode penargetan transfer sosial kepada masyarakat miskin telah menjadi perhatian beberapa negara dalam 2 dekade ini. Perubahan metode ini merupakan respons terhadap krisis keuangan dan permintaan untuk meningkatkan efektivitas program penanggulangan kemiskinan. Pemerintah Indonesia telah meluncurkan beberapa program anti kemiskinan seperti Bantuan Langsung Tunai (BLT), Program Asuransi Kesehatan (Askeskin). Peningkatkan target untuk program-program tersebut akan memastikan program akan mengcover masyarakat miskin daripada masyarakat tidak miskin.

Menjawab kebutuhan untuk meningkatkan kualitas penargetan, BAPPENAS (Badan Perencanaan Pembangungan Nasional) meminta Bank Dunia untuk menyediakan bantuan teknis dalam mempelajari metode untuk mendesain sistem targeting rumah tangga yang lebih baik. Penemuan dari studi ini akan membantu Pemerintah untuk membuat dan mengembangkan metode baru untuk mengidentifikasi rumah tangga miskin yang memenuhi syarat untuk berbagai program bantuan. Studi pertama dilaksanakan bulan Movember 2008 sampai April 2009 atas kerjasama The World Bank Jakarta, Badan Pusat Statistik (BPS), dan beberapa peneliti dari Jameel Poverty Action Lab (J-PAL) di Massachusetts Institute of Technology (MIT). Studi ini membandingkan metode PMT (Proxy Means Testing), metode penargetan masyarakat, dan metoda hybrid (kombinasi PMT dan penargetan masyarakat). Hasil studi pertama ini menunjukkan bahwa pendekatan PMT memberikan perkiraan yang lebih akurat dalam konsumsi rumah tangga miskin/hampir miskin. Sementara metode penargetan masyarakat memberi lebih akurat dalam mengidentifikasi rumah tangga konsumsi rendah. Metode hybrid memberikan perkiraan yang lebih buruk daripada kedua metode tadi. Penemuan-penemuan ini memunculkan pertanyaan kebijakan: apakah masyarakat bisa diijinkan untuk menentukan targetnya sendiri?Apakah ada pilihan hybrid yang lain yang dapat mengkombinasikan keuntungan metode PMT dan metode penargetan masyarakat?Haruskah daerah yang berbeda diberlakukan metode yang berbeda? Untuk memperoleh hasil yang menyeluruh, maka studi Survei Aspek Sosial Ekonomi Rumah Tangga mulai dilaksanakan.

Survey Meter ditunjuk untuk melaksanakan studi di tiga wilayah pencacahan, yaitu Sumatera Selatan, Lampung, dan Jawa Tengah. Tujuan utama dari studi ini adalah untuk mempelajari kemungkinan menggunakan kombinasi metode penargetan masyarakat dan metoda PMT (Proxy Mean Test), serta mempelajari manfaat dan efektivitas metode Self Targeting dimana masyarakat menentukan target mereka sendiri.

Geographic coverage

Cakupan wilayah penelitian: 3 provinsi

Analysis unit

Unit analisis: rumah tangga

Universe

Kuesioner Rumah Tangga: Kepala Rumah Tangga, atau Pasangan Kepala Rumah Tangga, atau Anggota Rumah Tangga lain yang berumur 18 tahun atau lebih. Kuesioner Komunitas: Ketua Rukun Tetangga/Ketua Rukun Warga/Kepala Dusun/Lingkungan.

Kind of data

Sample survey data

Sampling procedure

Pemilihan SLS Dalam survey ini, Desa/Kelurahan sudah ditentukan. Kemudian dilakukan listing untuk memilih satu SLS dan kemudian dilanjutkan dengan memilih 9 rumah tangga secara random untuk diwawancara. SLS di bawah Desa/Kelurahan dipilih berdasarkan jumlah populasi, kurang dari atau sama dengan 150 rumah tangga. SLS dengan lebih dari 150 rumah tangga dipilih jika hanya SLS tersebut yang merupakan unit administrasi di bawah Desa. Segera setalah SLS terpilih, tim akan membuat daftar rumah tangga dibawah SLS tersebut dengan mengidentifikasikan Kepala Rumah Tangga dan Pasangan Kepala Rumah Tangga yang memenuhi kriteria rumah tangga PKH. Pemilihan SLS dan daftar rumah tangga didokumentasikan dalam form L, L1, L2, L3, dan L4. Form L digunakan untuk menentukan SLS. Form L1 digunakan untuk memilih SLS di bawah Desa, seperi Dusun. Form L2 untuk memilih SLS 2 tingkat di bawah Desa, seperti RW. Form L3 untuk memilih SLS 3 tingkat di bawah Desa, seperti RT. Form L4 untuk memilih 10 rumah tangga secara random.

Pemilihan Rumah Tangga Rumah tangga yang dipilih harus memenuhi kriteria: a. mempunyai anak 0-6 tahun, dan atau b. mempunyai anak kurang dari 15 tahun yang masih sekolah tapi belum menyelesaikan wajib belajar 9 tahun, dan atau c. mempunyai wanita hamil atau baru melahirkan

Penggantian rumah tangga di lapangan diperbolehkan dalam keadaan khusus dengan syarat: 1. Rumah tangga pindah. Di wilcah, tim mewawancara rumah tangga nomor 1-9. Responden nomor 10 adalah rumah tangga kepala SLS. Untuk rangking Kepala Rumah Tangga di seksi CR, tim harus menyiapkan 11 nama (dimana nomor 11 adalah untuk pengganti). Tapi jika rumah tangga nomor 11 pindah maka rumah tangga nomor 11 diganti oleh rumah tangga nomor 12. 2. Rumah tangga menolak 3. Rumah tangga tidak dapat dihubungi sampai akhir wilcah. Kasus ini berlaku jika seluruh anggota rumah tangga tidak dapat dihubungi atau responden target tidak ada. 4. Tidak ada responden memenuhi syarat KP (kesehatan dan pendidikan) di rumah tangga tersebut, misalnya meninggal atau pindah. Untuk kasus ini, rumah tangga terpilih diganti oleh rumah tangga yang memenuhi syarat KP (KP=1).

Perubahan prosedur dalam menentukan jenis kelamian Komposisi antara responden perempuan dan laki-laki harus 50% - 50%. Tapi hampir di semua wilcah, responden laki-laki lebih banyak daripada responden perempuan. Contoh: diantara 9 rumah tangga yang terpilih, ada 5 responden laki-laki dan 4 responden perempuan. Jika Kepala Rumah Tangga adalah laki-laki, maka komposisi berubah menjadi laki-laki=6, perempuan=4.

Mode of data collection

Face-to-face

Research instrument

1. Buku Komunitas : jumlah kepala keluarga, mata pencaharian utama penduduk, penilaian tentang tingkat kesejahteraan, program/aktivitas dan partisipasi masyarakat, administrasi RT/RW/Dusun/Lingkungan.

2. Buku Rumah Tangga : lokasi Rumah Tangga, daftar Anggota Rumah Tangga, transportasi, konsumsi, harta Rumah Tangga, karakteristik Rumah Tangga, peringkat masyarakat, identitas Kepala Rumah Tangga, kesehatan, pendidikan, imunisasi, riwayat penerimaan program kemasyarakatan, transfer, tabungan, pinjaman, gangguan ekonomi, kesejahteraan subjektif, partisipasi masyarakat, pilihan Responden, korupsi dan suap.

3. Form Listing: a. Form L : formulir listing SLS dan Kepala Rumah Tangga. b. Form L-1 : formulir listing dan pemilihan Dusun/Lingkungan/Kampung. c. Form L-2 : formulir listing dan pemilihan SLS tingkat 2 di Dusun/Kampung terpilih. d. Form L-3 : formulir listing dan pemilihan SLS tingkat 3 di Dusun/Kampung terpilih. e. Form L-4 : formulir listing dan pemilihan RT di SLS terpilih. f. Mapping

Cleaning operations

Data Enti Lapangan Editing dan entri kuesioner dilakukan di lapangan. Metode ini memungkinan editor dan pewawancara berkomunikasi lebih baik jika ada masalah dengan kuesioner. Metode ini juga membantu pewawancara jika harus revisit ke rumah tangga. Editor menggunakan ballpoint merah untuk mengedit kuesioner. Program data entri dibuat untuk mengakomodasi semua kemungkinan jawaban Responden, sehingga dapat memprotect jawaban yang tidak diinginkan. Program data entri yang bagus juga harus bisa mengcrosscheck jawaban yang berhubungan antar variabel. Prosedur editing lapangan: 1. Box A (siap edit dan entri) : kuesioner yang telah selesai diedit pewawancara disimpan di box A ini. 2. Box B (perlu perbaikan) : editor menyimpan kuesioner yang perlu diperbaiki oleh pewawancara di box B ini. 3. Box C : pewawancara menyimpan kuesioner yang telah diperbaiki di box C. Kuesioner di box C adalah kuesioner yang siap diedit/dimodifikasi oleh Editor. 4. Box D : kuesioner yang telah selesai diedit dan dientri editor disimpan di box D. Kuesioner di box D ini adalah kuesioner yang siap kirim ke kantor pusat.

Setelah pengumpulan dan entri data selesai, editor/supervisor harus mengirim data (elektronik) dan mengirimkan data ke kantor pusat di Yogyakarta.

Abstract

Kegiatan "Effective Targeting of Anti-Poverty Programs II" dilaksanakan dari tanggal 3 Januari 2011 sampai 4 April 2011 di 3 provinsi yaitu Jawa tengah, Sumatera Selatan, dan Lampung. Kegiatan ini merupakan proyek penelitian kerjasama Kantor Bank Dunia Jakarta (WBOJ), Badan Pusat Statistik (BPS), Peneliti The Innovations for Poverty Action (IPA), Kementrian Sosial (Kemensos) RI, dan Mitra Samya. Penelitian ini dilakukan dalam rangka menyikapi kebijakan pemerintah yang telah meluncurkan barbagai program anti kemiskinan skala besar seperti Bantuan Langsung Tunai (BLT), Jaminan Kesehatan Masyarakat (Jamkesmas), dan Program Nasional Pemberdayaan Masyarakat (PNPM). Tujuan kegiatan penelitian ini adalah: 1. Untuk membandingkan pengorbanan (sumberdaya yang harus dikeluarkan) dan keakuratan setiap pendekatan proses yang paling efisien dan hemat biaya.
2. Untuk menyusun pedoman sebagai panduan bagi para pemangku kepentingan terkait

Lokasi studi meliputi 6 kabupaten yaitu Wonogiri, Pemalang, Lampung Tengah, Bandar Lampung, Palembang, dan Ogan Komering Ilir. Secara keseluruhan jumlah lokasi kegiatan/wilayah pencacahan (wilcah) mencakup 620 desa/kelurahan, 200 desa/kelurahan diantaranya menggunakan metode self targeting, dan 200 desa/kelurahan lainnya menggunan metode hybrid. Dalam implementasinya, studi yang mengujicoba sebanyak 12 treatment/perlakukan metode ini sekaligus dalam rangka menyeleksi calon peserta Program Keluarga Harapan (PKH). Khusus untuk metode pendaftaran, dilaksanakan secara kolaboratif oleh berbagai pihak di Kabupaten yaitu Dinas Sosial beserta tim pendamping PKH, Tim BPS dan Tim Fasilitator Mitra Samya.

Sebelumnya, pada bulan November 2008 - April 2009 telah dilakukan studi "Effective Targeting of Anti-Poverty Program I" yang membandingkan pengorbanan (sumberdaya yang harus dikeluarkan) yang terkait dengan penggunaan metode Proxy Mean Test (PMT), metode penargetan masyarakat, atau metode hibrida yang merupakan kombinasi dari kedua metode tersebut. Hasil percobaan pertama ini menunjukkan bahwa pendekatan PMT memberikan perkiraan yang lebih akurat konsumsi rumah tangga secara keseluruhan, khususnya bagi rumah tangga hampir miskin. Sedangkan pendeketan berbasis masyarakat lebih akurat untuk mengidentifikasi rumah tangga konsumsi rendah. Namun, metode hibrida spesifik yang digunakan memberikan perkiraan yang lebih buruk dibandingkan metode PMT atau penargetan masyarakat. Hasil ini memunculkan sejumlah pertanyaan kebijakan, antara lain: haruskah masyarakat diizinkan untuk melakukan penargetan sendiri, apakah ada metode hibrida lainnya yang lebih efektif menggabungkan keunggulan dari kedua pendekatan, haruskah pendekatan yang berbeda diterapkan untuk lokasi yang berbeda. Pada bulan Mei - Juli 2010 proyek percontohan penelitian "Effective Targeting of Anti Poverty Program" kedua dilakukan di 2 Kabupaten yaitu Kabupaten Lebak (Banten) dan Kota Makassar (Sulawesi Selatan). Hasil penelitian ini menunjukkan untuk self targeting, metode 1 tahap dan sistem digital lebih efektif dibandingkan metode 3 tahap dan sistem manual. Selain itu, penerapan metode hibrida juga terbukti menunjukkan hasil yang positif. Setelah melaui proyek percontohan tersebut, maka kegiatan "Effective Targeting of Anti-Poverty Program II" dilaksanakan.

Geographic coverage

Cakupan wilayah: 3 provinsi, 6 kabupaten, 620 desa/kelurahan

Analysis unit

Unit analisa : desa

Universe

Rumah Tangga: Kepala Rumah Tangga atau Pasangan Kepala Rumah Tangga. Pertemuan masyarakat: Kepala SLS, warga masyarakat desa. Pertemuan tokoh desa: kepala/pengurus desa, tokoh masyarakat, guru/kepala desa, kader puskesmas/bidan/perawat/dokter, kepala SLS, tokoh adat.

Kind of data

Sample survey data

Mode of data collection

Face-to-face

Research instrument

1. F1 - Informasi Desa : a. Data Kepala Desa/Lurah: nama, umur, pertama kali menjabat sebagai kepala desa/lurah, jadwal pemilihan kepala desa berikutnya, pendidikan tertinggi yang diselesaikan, agama, suku. b. Informasi Demografis Desa: jumlah penduduk, jumlah kepala keluarga pra sejahtera, jumlah penduduk berdasarkan agama, jumlah penduduk berdasarkan suku.

2. F2 - Pertemuan dengan tokoh desa: informasi umum dan masukan a. Kriteria kemiskinan: 10 indikator kesejahteraan, 3 indikator yang mempengaruhi pandangan tokoh terhadap kesejahteraan. b. Logistik proses pendaftaran: tempat, waktu, dan SLS yang diundang. c. Logistik pertemuan masyarakat: SLS yang diundang, tempat pertemuan, waktu, tokoh desa yang akan berpidato. d. Masukan Fasilitator: reaksi tokoh terhadap proses pendaftaran peserta PKH (protes, marah).

3. F3 - Pertemuan masyarakat : masukan fasilitator a. Tempat pertemuan. b. Cuaca saat pertemuan. c. Masukan fasilitator: reaksi warga terhadap PKH, tingkat pengertian warga tentang kewajiban rutin penerima bantuan PKH, persentase warga yang protes terhadap definisi keluarga sangat miskin, tingkat pengertian warga tentang proses pendaftaran untuk menjadi peserta PKH, persentase warga yang protes tentang alur pendaftaran, persentase warga yang marah saat pertemuan, persentase warga yang memperhatikan saat pertemuan, persentase warga yang memberikan pertanyaan/komentar, persentase perempuan yang datang ke pertemuan, dan keaktifan perempuan dalam pertemuan dibanding laki-laki.

4. F4 - Form Wawancara a. Informasi Responden: kriteria PKH yang dipenuhi oleh rumah tangga, ART yang hadir. b. Acuan kelayakan Rumah Tangga Sasaran (RTS). c. Roster Anggota Rumah Tangga: status perkawinan, pendidikan, pekerjaan c. Perumahan dan keadaan rumah tangga. d. Fasilitas kesehatan dan pendidikan.

5. F5 - Hari wawancara: Masukan Pewawancara a. Tempat wawancara. b. Masukan Pewawancara: warga yang mengeluh tentang panjangnya antrian.

6. S1 - Hari wawancara: panjang antrian dan cuaca

Abstract

Perubahan pentargetan sosial terhadap masyarakat miskin telah menjadi prioritas di banyak negara pada dua dekade terakhir sebagai jawaban atas kendala keuangan dan perubahan kebijakan untuk meningkatkan keefektifan program dalam memberantas kemiskinan. Pemerintah Indonesia telah mencanangkan beberapa program anti kemiskinan skala besar selama beberapa tahun terakhir yang telah membantu mengurangi kemiskinan, seperti program Bantuan Langsung Tunai (BLT) dan Bantuan Tunai Bersyarat (BTB) dan Asuransi Kesehatan (Askeskin). Perbaikan pentargetan di program-program tersebut untuk menjamin sumber daya program yang terbatas supaya dapat menjangkau masyarakat miskin daripada disalurkan ke rumah tangga mampu, tetap merupakan tantangan yang terus-menerus untuk menjamin efisiensi program-program tersebut. Menjawab kebutuhan untuk meningkatkan hasil pentargetan, Badan Perencanaan Nasional (BAPPENAS) telah meminta Bank Dunia untuk menyediakan bantuan teknis dalam mempelajari cara untuk merencanakan sebuah sistem pentargetan rumah tangga yang lebih baik. Penemuan penelitian ini akan mengarahkan keputusan pemerintah untuk mengembangkan metode-metode baru untuk mengindentifikasi rumah tangga miskin yang memenuhi syarat untuk berbagai macam program bantuan. Penelitian ini merupakan usaha kolaborasi antara Bank Dunia Kantor Jakarta (WBOJ), Biro Pusat Statistik (BPS), dan peneliti akademis yang bergabung dengan Jameel Poverty Action Lab (J-PAL) di Massachusetts Institute of Technology (MIT)

Geographic coverage

Cakupan provinsi, representatif sampai level desa/kabupaten.

Analysis unit

Unit analisisnya adalah individu dalam rumah tangga, dari setiap rumah tangga terpilih dikumpulkan keterangan mengenai keadaan umum setiap anggota rumah tangga yang mencakup nama, hubungan dengan kepala rumah tangga, jenis kelamin, dan umur.

Survai ini juga akan menanyakan sejumlah pertanyaan mengenai konsumsi rumah tangga, dan juga berbagai macam karateristik dan partisipasi rumah tangga di kegiatan kemasyarakatan. Disetiap desa akan dipilih satu Rukun Tetangga (RT) dan disetiap RT terpilih akan diwawancarai 9 rumah tangga, dimana salah satunya adalah rumah tangga kepala RT.

Responden seksi AR adalah anggota rumah tangga berumur 18 tahun atau lebih dan mengetahui informasi karakteristik dasar dari semua anggota rumah tangga yang tinggal di rumah tangga tersebut. Walaupun demikian biasanya dalam satu rumah tangga yang paling mengetahui karakteristik anggota rumah tangga yang tinggal di rumah tangga responden adalah kepala rumah tangga atau pasangan kepala rumah tangga. Sehingga diprioritaskan sedapat mungkin yang menjawab seksi AR ini adalah kepala rumah tangga atau pasangan kepala rumah tangga.

Universe

Rumah Tangga

Kind of data

Sample survey data

Sampling procedure

Proyek penelitian ini memiliki dua tahap. Pada tahap pertama, yang akan terlaksana segera sebelum tahap kedua dilaksanakan, adalah suatu Survai end-line yang terperinci tentang pengeluaran rumah tangga yang akan dilakukan pada sampel rumah tangga acak di wilayah yang sama seperti tahap kedua. Survai ini akan menanyakan sejumlah pertanyaan mengenai konsumsi rumah tangga, dan juga berbagai macam karateristik dan partisipasi rumah tangga di kegiatan kemasyarakatan. Survai end-line akan dilakukan di tiga propinsi yaitu Jawa Tengah, Sumatra Utara dan Sulawesi Selatan dan mencakup kurang lebih 640 desa yang tersebar di 12 kabupaten. Dari 640 desa yang dipilih secara acak ini, 50 % adalah daerah kota dan 50% adalah desa. Disetiap desa akan dipilih satu Rukun Tetangga (RT) dan disetiap RT terpilih akan diwawancarai 9 rumah tangga, dimana salah satunya adalah rumah tangga kepala RT.Dengan demikian jumlah sample rumah tangga yang akan diwawancarai adalah 5760 rumah tangga.

Pada tahap kedua penelitian, BPS dan fasilitator masyarakat akan menguji beberapa metode berbeda untuk menentukan kualifikasi rumah tangga untuk program anti kemiskinan. Metode pentargetan meliputi Proxy Means Testing yaitu dengan menggunakan serangkaian indicator yang komprehensif untuk memprediksi pengeluaran per kapita dan menggunakanan prediksi pendapatan per kapita sebagai dasar penentuan target, desentralisasi aturan kualifikasi (elegibility rules), dan pencantuman masyarakat dalam penilaian kualifikasi. Setiap metode akan menghasilkan daftar status kemiskinan rumah tangga di RT/RW.

Dalam pilot survey ini kita akan mendatangi Rukun Tetangga(RT)/Rukun Warga (RW)/Lingkungan/Dusun/Lorong dari desa yang terpilih dan hanya akan mewawancarai 9 Rumah Tangga disetiap Rukun Tetangga/Rukun Warga/Lingkungan/Dusun/Lorong terpilih. Untuk dapat melakukan pemilihan sample rumah tangga mana yang akan diwawancara, kita harus mengetahui jumlah seluruh rumah tangga di Tetangga/Rukun Warga/Lingkungan/Dusun/Lorong tersebut. Jadi dalam hal ini harus dilakukan listing rumah tangga terlebih dahulu.

Mode of data collection

Face-to-face [f2f]

Abstract

Since 1992 the Central Statistics Agency (BPS) through the National Social Economic Survey (SUSENAS) collected the data on education, health, housing, consumer / household expenses, and other socioeconomic every year, which is referred to as data Cor. In addition, they also collected the special data (modules) which is different every three years, namely the data consumption and household spending, education and social culture, as well as housing and health. These data are very useful for the government to plan the sectoral and cross-sectoral development.

To meet the data needs of the government about the development of poor people every year, Panel Susenas collected the consumption and expenditure module data with the total sample of 10,000 households in 2003. The number of samples is only able to estimate the national poverty, while the demands of the availability data of poverty rate up to provincial level is increasing.

In 2007, the number of samples of Panel Susenas was expanded to 68,800 households. It must be done to obtain the poverty rate up to the provincial level, and this number of sample was held back on implementing the Panel Susenas 2008. Besides, the implementation field was conducted by the teams which are coordinating Team and some counter (PCS). With the system, they expected that the completion field can be more quickly and the quality of the field result can be better.

Preparatory activities of Panel Susenas 2008 are conducted at the end of 2007, includes intama workshops and Innas training that aims to make the same perception of the concepts / definitions and procedures, then practice survey.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

The Susenas implementation in July 2008 included 285 904 sampled households spread across the provinces in Indonesia. Enumeration results data can be presented either to the national, provincial and district / city.

Kind of data

Sample survey data [ssd]

Sampling procedure

Design of 2008 Susenas sampling is a two-phase sampling design. Sampling for urban area and rural area is to be conducted separately. Procedure of 2008 Susenas sampling for a district/city is as follows:

• Phase 1, from master sampling frame (MSF) of normal census block of 2006 Economic Census result (SE06) are to be selected census block nh (h = 1, for urban; h = 2, for rural) in a probability proportional to size (pps) method whereas size is the number of households from P4B census result (April 2003). For census block that has contents of more than 150 households, selection of one census sub-block in PPS-systematic is required with the size of household number of P4B census result. Household listing is conducted to all selected census blocks/sub-blocks.

• Phase 2, from every selected census blocks/sub-blocks, then, to be selected m = 16 households from the listing result systematically.

The estimation of provincial levels (Panel Susenas) samples to estimate provincial level is the subsample SUSENAS 2008 (July 2008). The sample size for estimation of the provincial in national is a number of 4,300 census blocks covering 68,800 households. The sampling of census blocks was carried out systematically.

Listings and sampling of households in the census block is a sub-sample SUSENAS 2008 (July 2008) was conducted in early February 2008 for the implementation of the enumeration in March 2008. The selected households in March SUSENAS 2008 is a panel samples for the implementation of Susenas in July 2008, March 2009 and March 2010.

Mode of data collection

Face-to-face

Abstract

In 2005 BPS won the trust of the government to implement the 2005 Population Socioeconomic Data Collection (PSE'05), the actual implementation is poor data collection. The data collection is to obtain information about the poor household complete with addresses and characteristics. The information is needed by the government for poverty countermeasures program and to help ease the burden of life of the poor by giving cash to the poor directly, due to rising fuel prices as much as 2 times in April 2005 (up an average of 33%) and in October 2005 (up an average of 87.5%).

PSE'05 outcome data have been used by the government in the distribution of fuel compensation fund or the so-called direct cash assistance (BLT) that would later be renewed as Cash Transfer Subsidy (SLT) Phase I in October 2005 and Phase II in January 2006 .

PSE'05 monitoring and evaluation of the implementation and monitoring of the implementation on the ground thawing SLT Phase I and II are important to be implemented. For this purpose as the funders World Bank in cooperation with BPS will conduct Poverty Program Evaluation Survey (SEPK) 2006 integrated with the implementation of the Consumer Panel Module SUSENAS 2006.

Geographic coverage

Nasional coverage, representative to village level

Analysis unit

Households receiving cash transfers

Kind of data

Sample survey data

Mode of data collection

Face-to-face [f2f]

Abstract

Since 1992 the Central Statistics Agency (BPS) through the National Social Economic Survey (SUSENAS) collected the data on education, health, housing, consumer / household expenses, and other socioeconomic every year, which is referred to as data Cor. In addition, they also collected the special data (modules) which is different every three years, namely the data consumption and household spending, education and social culture, as well as housing and health. These data are very useful for the government to plan the sectoral and cross-sectoral development.

To meet the data needs of the government about the development of poor people every year, Panel Susenas collected the consumption and expenditure module data with the total sample of 10,000 households in 2003. The number of samples is only able to estimate the national poverty, while the demands of the availability data of poverty rate up to provincial level is increasing.

In 2007, the number of samples of Panel Susenas was expanded to 68,800 households. It must be done to obtain the poverty rate up to the provincial level, and this number of sample was held back on implementing the Panel Susenas 2008. Besides, the implementation field was conducted by the teams which are coordinating Team and some counter (PCS). With the system, they expected that the completion field can be more quickly and the quality of the field result can be better.

Preparatory activities of Panel Susenas 2008 are conducted at the end of 2007, includes intama workshops and Innas training that aims to make the same perception of the concepts / definitions and procedures, then practice survey.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

The Susenas implementation in 2008 included 68.800 sampled households spread across the provinces in Indonesia. Enumeration results data can be presented either to the national, provincial and district / city.

Kind of data

Sample survey data [ssd]

Sampling procedure

Design of 2008 Susenas sampling is a two-phase sampling design. Sampling for urban area and rural area is to be conducted separately. Procedure of 2008 Susenas sampling for a district/city is as follows:

• Phase 1, from master sampling frame (MSF) of normal census block of 2006 Economic Census result (SE06) are to be selected census block nh (h = 1, for urban; h = 2, for rural) in a probability proportional to size (pps) method whereas size is the number of households from P4B census result (April 2003). For census block that has contents of more than 150 households, selection of one census sub-block in PPS-systematic is required with the size of household number of P4B census result. Household listing is conducted to all selected census blocks/sub-blocks.

• Phase 2, from every selected census blocks/sub-blocks, then, to be selected m = 16 households from the listing result systematically.

The estimation of provincial levels (Panel Susenas) samples to estimate provincial level is the subsample SUSENAS 2008 (July 2008). The sample size for estimation of the provincial in national is a number of 4,300 census blocks covering 68,800 households. The sampling of census blocks was carried out systematically.

Listings and sampling of households in the census block is a sub-sample SUSENAS 2008 (July 2008) was conducted in early February 2008 for the implementation of the enumeration in March 2008. The selected households in March SUSENAS 2008 is a panel samples for the implementation of Susenas in July 2008, March 2009 and March 2010.

Mode of data collection

Face-to-face

Abstract

Pemerintah Indonesia telah mencanangkan beberapa program anti kemiskinan skala besar selama beberapa tahun terakhir yang telah membantu mengurangi kemiskinan, seperti program Bantuan Langsung Tunai (BLT), Bantuan Tunai Bersyarat (BTB), dan Asuransi Kesehatan (Askeskin). Perbaikan pentargetan di program-program tersebut untuk menjamin sumber daya program yang terbatas supaya dapat menjangkau masyarakat miskin daripada disalurkan ke rumah tangga mampu. Menjawab kebutuhan untuk meningkatkan hasil pentargetan, Badan Perencanaan Nasional (BAPPENAS) telah meminta Bank Dunia untuk menyediakan bantuan teknis dalam mempelajari cara untuk merencanakan sebuah sistem pentargetan rumah tangga yang lebih baik. Pada Pada bulan November 2008 - April 2009 penelitian Effective Targetting of Anti Poverty Programs I dilaksanakan untuk melihat bagaimana sebaiknya melakukan target rumah tangga miskin. Penelitian ini membandingkan antara metode Proxy Means Testing (PMT), community targeting, dan kombinasi keduanya (hybrid ) untuk menentukan targeting. Penelitian ini merupakan usaha kolaborasi antara Bank Dunia Kantor Jakarta (WBOJ), Biro Pusat Statistik (BPS), dan peneliti akademis yang bergabung dengan Jameel Poverty Action Lab (J-PAL) di Massachusetts Institute of Technology (MIT)

Pada penelitian Effective Targetting of Anti Poverty Programs II ini akan dikaji beberapa alternatif kombinasi PMT-community hybrid serta melihat cost saving dan efektifitas dari metode self targeting. Self-targeting merupakan pendekatan dimana seseorang harus melalui proses pendaftaran untuk mengikuti suatu program. Program yang dimaksud disini adalah Program Keluarga Harapan (PKH), suatu program bantuan tunai bersyarat untuk rumah tangga miskin yang memiliki ibu hamil dan anak usia sekolah. Proses Pendaftaran dibuat sedemikian rupa sehingga orang miskin lebih mungkin untuk mendaftar dan orang yang tidak miskin lebih sulit mendaftar.

Tujuan penelitian Effective Targetting of Anti Poverty Programs II adalah: 1. Tujuan jangka pendek : untuk membantu pemerintah Indonesia dalam menentukan indikator yang lebih baik untuk memperbaiki penentuan rumah tangga miskin yang berhak memperoleh bantuan dari program-program kemiskinan. 2. tujuan jangka panjang : membantu pemerintah dalam menentukan metode pentargetan yang bagaimanakah yang paling efisien dan cost-effektif.

Geographic coverage

Cakupan wilayah penelitian: 3 provinsi, 6 kabupaten, 63 kecamatan, 600 desa

Analysis unit

Unit analisis: rumah tangga

Universe

Kuesioner Rumah Tangga : Kepala Rumah Tangga, atau Pasangan Kepala Rumah Tangga, atau Anggota Rumah Tangga lain yang berumur 18 tahun atau lebih. Kuesioner Kepala Rukun Tetangga (RT) : Ketua RT/RW/Dusun.

Kind of data

Sample survey data

Sampling procedure

Wilayah penelitian mencakup tiga propinsi yaitu Jawa Tengah, Sumatra Selatan dan Lampung yang tersebar di 6 kabupaten, 63 kecamatan dan 600 desa yang dikelompokkan sebagai berikut: 200 desa sign up, 200 desa hybrid dan 200 desa PMT. Di setiap desa akan dipilih satu Satuan Lingkukan (SLS) yang jumlah rumah tangganya kurang dari atau sama dengan 150 rumah tangga. Di Satuan Lingkungan (SLS) terpilih akan diwawancarai 10 rumah tangga, dimana salah satunya adalah rumah tangga Kepala SLS terpilih, sehingga jumlah sample rumah tangga yang akan diwawancarai adalah 6000 rumah tangga.

Mode of data collection

Face-to-face

Research instrument

1. Kuesioner Rumah Tangga Informasi yang dikumpulkan di kuesioner ini adalah: daftar anggota rumah tangga, konsumsi/pengeluaran rumah tangga, gangguan ekonomi, aset, tingkat kepuasan terhadap PKH, persepsi pemanfaat tentang PNPM.

2. Kuesioner Kepala Rukun Tetangga (RT) Informasi yang dikumpulkan adalah tentang proses penentuan sasaran PKH, keluhan masyarakat terkait penentuan rumah tangga yang berhak menerima PKH, upah harian laki-laki dan perempuan.