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All Journal Indonesian Journal of Electrical Engineering and Computer Science PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Anugerah Karta Monika
Politeknik Statistika STIS
Computer Science & IT

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Google trends and online media data for supply and demand information in waste management evaluation in Jakarta Robert Kurniawan; Agung Purwanto; Anugerah Karta Monika; Krismanti Tri Wahyuni; Muhammad Yunus Hendrawan; Mohamad Andrian Isnaeni
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp1140-1149

Abstract

Demand and supply of information in online media, particularly regarding waste management, remain hampered by a number of obstacles. Consequently, the objective of this study is to determine the public's interest in waste management knowledge based on demand data obtained from Google trends and to determine the most recent events in waste management by analyzing online news content. As a result, vector autoregressive (VAR) with impulse response function (IRF) and latent dirichlet allocation (LDA) are utilized as the analysis method. An important finding of this study is that it takes at least four weeks for individuals to absorb waste management information. Therefore, it is necessary for the government and the pentahelix component to sit together in order to reduce the community's information acquisition delay. Waste management, which is the subject of the shared information, should guide the selection of keywords by information providers.
Impact of the Family Hope Program (PKH) on Household Expenditure in East Java, 2024 Elvika Nanda Nurdiana; Anugerah Karta Monika
Joint International Conference 2026: The 2nd Indonesia Forum on Labour and Productivity (IFLP) & The 4th International Conference on Data Science and Official Statistics (ICDSOS) Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.522

Abstract

Poverty remains a development challenge in Indonesia, particularly in East Java, which contributes substantially to the national poverty rate. Household expenditure, which reflects a household’s ability to meet basic needs and maintain living standards, is widely used as a proxy for welfare and poverty. Assessing how social assistance programs influence expenditure is therefore crucial to understand their impact in improving welfare. The Family Hope Program (Program Keluarga Harapan/PKH), a conditional cash transfer initiative, aims to improve household welfare and reduce poverty. This study describes the characteristics of PKH recipients and evaluates the program’s impact on household expenditure as an indicator of welfare in East Java. This analysis uses data from the March 2024 Susenas survey on households that meet the PKH criteria, with separate analyses by household poverty levels. The Propensity Score Matching method was used to address selection bias resulting from non-random recipient selection. The results show that PKH recipients generally face limitations in housing, basic access, and socio-economic conditions. Overall, PKH has not increased total expenditures, but there has been an increase in food expenditures among extremely-poor households. Policy adjustments are needed to better align with the needs and characteristics of each group.
Co-Authors Agung Purwanto Elvika Nanda Nurdiana Jesica Nauli Br. Siringo Ringo Krismanti Tri Wahyuni Mohamad Andrian Isnaeni Muhammad Yunus Hendrawan Robert Kurniawan