Contributing factors: implementation of poor population data collection

Arifah, Umi; Kebumen, Islam Iainu; Suwitri, Sri; Larasati, Endang; Yuwanto,

doi:10.26661/2522-1566/2020-2/12-05

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…The stage in poverty alleviation is to identify the number of poor individuals in an area and then record the result accurately. Leadership, budget availability, program implementation, and human resource commitment are keys in poverty alleviation efforts (Arifah et al, 2020).…”

Section: Literature Review Poverty Alleviationmentioning

confidence: 99%

“…The accuracy of data collection on low-income families is the key to determining poor individuals. One of the efforts for the accuracy and validity of the poor category is implemented through the program and human resource commitment (Arifah et al, 2020). In this context, the disparity in calculating different poverty standards has been obtained in a non-single way.…”

Section: Accuracy Of Poverty Data and Decent Living Opportunitiesmentioning

confidence: 99%

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Redesigning consolidated data for handling extreme poverty in rural areas based on SDGS DESA

Iskandar

2023

JCPP

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Responses to extreme poverty include ensuring the authenticity of related data. Therefore, studies of data consolidation on handling extreme poverty in rural areas are important. The integration of poverty studies into social science and development fields is crucial for advancing knowledge in these disciplines. This study aims to describe data inequality and collection accuracy in Indonesia. It used a data consolidation approach based on SDGs Desa to explore the disparity in central and regional poverty data collection, which impacts the loss of access to basic rights. Furthermore, this study relied on survey data from 100 villages in 4 of the 5 regencies piloting the projects to tackle extreme poverty in East Java, Indonesia. The results showed that the accuracy of the data influenced the poor categorization, social assistance distribution, and the seriousness of the state in alleviating extreme poverty. Therefore, it becomes the basis for further study in unravelling the dynamics in the design of data collection in rural areas.

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Section: Literature Review Poverty Alleviationmentioning

confidence: 99%

Section: Accuracy Of Poverty Data and Decent Living Opportunitiesmentioning

confidence: 99%

Redesigning consolidated data for handling extreme poverty in rural areas based on SDGS DESA

Iskandar

2023

JCPP

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“…The Village Management Acceleration Coordination Team is tasked wit h collecting data in accordance with the following mechanism: The process of socializing and establishing data collection teams plays a vital role in poverty data collection (Arifah et al, 2020). These teams consist of individuals responsible for gathering information concerning communities at risk of poverty.…”

Section: Strategies and Directions For Enhancing The Competency Of Go...mentioning

confidence: 99%

Optimizing Data Collection Strategies for Effective Poverty Alleviation: Insights from the Social Welfare System - Next Generation (SIKS-NG)

Chamidah,

Muchsin,

Sunariyanto

2023

j.imb

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Malang Regency is the second-largest region in East Java with a diversity of geographical, social, and economic conditions. Data from the Malang Regency Social Service in 2018 shows that the number of impoverished families in Malang Regency reached 230,081 families. The highest number of impoverished families is found in the Dampit District, totaling 12,053 families, while the lowest is in the Kromengan District with 3,061 families. This indicates that the Dampit District has a significant number of impoverished families, surpassing other districts in Malang Regency. This makes the Dampit District a relevant location for research on poverty and its impacts. This research has dual objectives: first, to provide reliable, accurate, and valid information on existing poverty indicators, which will serve as a strong foundation for supporting poverty alleviation programs in Malang Regency. Second, this research aims to formulate strategies in the form of activity guidelines that will enhance the competence of employees in conducting poverty data collection, ultimately supporting poverty alleviation efforts. Data collection methods include interviews, documentation, observation, and Focus Group Discussions to obtain more in-depth information. In-depth interviews were conducted using purposive sampling techniques involving stakeholders related to poverty alleviation in the Dampit District Office, Malang Regency. The analysis results indicate that the government of the Dampit District and the villages in the area have not fully succeeded in implementing the Next Generation Social Welfare System (SIKS-NG) optimally. The poverty data collection has predominantly focused on collecting data on the poor only. Therefore, improvements in the approach and implementation of SIKS-NG are needed to enhance the effectiveness of poverty alleviation programs. The findings of this research highlight the importance of a participatory approach in collecting poverty data, involving village governments, utilizing information infrastructure like BDT, and the data consolidation process to ensure the effectiveness of poverty alleviation programs. Additionally, appropriate training for data collection teams is crucial in improving the accuracy of poverty data.

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“…Increasing the number of poverty that occurs from the regional level to the national level is the responsibility of all lines of society. Optimizing support from factors related to leadership, budget, program implementation, commitment and human resources, (Suwitri, et al, 2020). The government is the main policy holder in overcoming every public problem because basically the people have the same rights in obtaining public services, (Ningtyas, T., 2017).…”

Section: Introductionmentioning

confidence: 99%

How to increase social fund income during the COVID-19 pandemic in Indonesia? (A case study on the Great Mosque of Kediri City, East Java, Indonesia)

Mutafarida

Mawardi

Yasid

et al. 2021

Management and Entrepreneurship: Trends of Development

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In the 2020 period, due to the Covid outbreak, the income of social funds in the zakat collection unit of the Great Mosque of Kediri City decreased by approximately 25%. This is due to a decline in the economic sector, so there is a change in the behavior of some people in terms of channeling their benevolent funds. This entry condition requires the zakat collection unit of the Great Mosque of Kediri to think about a strategy to increase social funds so that mustahiq who have become members can still receive assistance as usual. This study purpose an overview of how the strategy of the Zakat Collection Unit (UPZ) at the Great Mosque of Kediri City in increasing social fund receipts during the pandemic so that mustahik can still be supported. This study takes the object of the UPZ of the Great Mosque of Kediri City and uses qualitative methods to explain the results of the study. Data mining was carried out by conducting direct interviews with the management of the zakat collection unit of the Great Mosque of Kediri. As a knife of analysis, this research uses the theory of Islamic marketing strategy. The results obtained from this study were to increase the income of social funds UPZ Great Mosque of Kediri City implemented an empathy strategy, namely picking up the ball, using digital marketing and distributing pamphlets and appeals during routine Sunday recitations and Friday prayer congregations.

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Contributing factors: implementation of poor population data collection

Cited by 3 publications

References 7 publications

Redesigning consolidated data for handling extreme poverty in rural areas based on SDGS DESA

Redesigning consolidated data for handling extreme poverty in rural areas based on SDGS DESA

Optimizing Data Collection Strategies for Effective Poverty Alleviation: Insights from the Social Welfare System - Next Generation (SIKS-NG)

How to increase social fund income during the COVID-19 pandemic in Indonesia? (A case study on the Great Mosque of Kediri City, East Java, Indonesia)

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