ORCID Profile
0000-0001-5494-7003
Current Organisation
Badan Riset dan Inovasi Nasional Republik Indonesia
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Publisher: Atlantis Press
Date: 2020
Publisher: National Research and Innovation Agency
Date: 31-03-2022
Abstract: Before the COVID-19 pandemic, the garment sector had the best performance globally, especially in Asia. In Indonesia, the industry provides employment, especially for women. However, the pandemic adversely impacted the garment industry and its workers. This paper aims to explore the adaptation strategies carried out by families of garment workers by employing a subset of the 2021 Family and Community Resilience Survey by the Research Center for Population, Indonesian Institute of Sciences (LIPI). The subs le comprises 100 families of garment industry workers residing in Bogor Regency. The results suggest that 89% of respondents stated that they were experiencing economic problems due to the pandemic. Moreover, these workers are vulnerable due to their employment status, predominantly contract and non-routine employees (26%) and they do not have savings and assets. Several activities were reported as part of their adaptive strategies in coping with economic stressors, namely changing their lifestyle (77.5%), changing family consumption (58%), and seeking loans from relatives (55%). Furthermore, 90% of workers reported not receiving salary subsidy programs. Therefore, the government needs to pay more attention to workers who are vulnerable to being heavily affected by the pandemic and should incorporate these findings in future social protection programs.
Publisher: Badan Penelitian dan Pengembangan Kesehatan
Date: 09-08-2019
DOI: 10.22435/JEK.18.1.1831.1-14
Abstract: ABSTRAK Pada tahun 2014 Indonesia mulai menerapkan Universal Health Coverage (UHC), yang akan meningkatkan cakupan asuransi kesehatan. Artinya bahwa pemanfaatan layanan kesehatan akan meningkat juga, sehingga pengelolaan limbah medis di pusat kesehatan masyarakat (puskesmas) akan menjadi semakin penting. Artikel ini merupakan analisis data Riset Fasilitas Kesehatan (Rifaskes) yang dilakukan oleh Badan Litbang Kesehatan tahun 2011 tentang faktor-faktor yang mempengaruhi pemisahan limbah dan pembuangan akhir limbah layanan kesehatan di Puskesmas. Jumlah s el adalah 8.599 Puskesmas. Variabel yang dianalisis meliputi sistem pembuangan limbah, perilaku pemisahan limbah, dan pengolahan limbah dengan cara dibakar. Analisis data dilakukan secara multivariat dengan model logistik biner multivariabel dan regresi multinomial pada tingkat signifikansi 0,05. Hasil analisis regresi multivariabel menemukan bahwa ada ketidaksetaraan berbasis geografis di mana Puskesmas yang terletak di wilayah Jawa-Bali, di daerah perkotaan, bukan di daerah terpencil, dan di pulau-pulau utama, cenderung melakukan pemisahan limbah medis, dan cenderung tidak melakukan praktik pembakaran terbuka. Puskesmas yang memiliki sistem pembuangan limbah yang layak, mengindikasikan bahwa memiliki kecenderungan mempraktikkan pemisahan limbah medis (tidak pembakaran terbuka). Sebaliknya puskesmas di daerah pedesaan, tidak melakukan pemilahan limbah dan cenderung mengelola s ah dengan cara dibakar. Hal ini mengindikasikan bahwa sumber daya untuk menerapkan pengelolaan limbah layanan kesehatan yang tepat di Puskesmas, termasuk fasilitas dasar, pelaksanaan pemisahan di sumber, dan pengolahan serta pembuangan limbah yang tepat menjadi sangat penting. Kata kunci: Limbah medis, fasilitas kesehatan, analisis regresi, pengelolaan limbah, Indonesia ABSTRACT In 2014, Indonesia started implementing Universal Health Coverage (UHC). As coverage of health insurance expands, healthcare utilisation will increase. Therefore, sustainable healthcare waste management (HCWM) in public health centres (PHCs) will become more important. This paper addresses the drivers of waste segregation and the final disposal of healthcare wastes. We obtained data on health care waste management (HCWM) in 8,599 PHCs from the 2011 Health Facility Research (Rifaskes). We then fitted multivariable binary logistic and multinomial regression models at the 0.05 level of significance. The multivariable regression analyses found that there were geographically based inequalities where PHCs located in JavaBali region, in the urban area, not in the remote area, in main islands, were more likely to practice medical waste segregation, and less likely to practice open burning. Owning a sewerage system corresponds to a higher likelihood of practising medical waste segregation and lower likelihood of open burning. Moreover, PHCs with better basic amenities were more likely to segregate their waste and less likely to practice open burning. This paper recommends the importance of resource for establishing proper HCWM in PHCs including basic amenities, implementation of segregation at source, and appropriate waste treatment and disposal. Keywords: Medical waste health facilities regression analysis waste management Indonesia
Publisher: IOP Publishing
Date: 06-2019
DOI: 10.1088/1757-899X/546/5/052052
Abstract: Lognormal distribution plays an essential role in the distribution modeling of right-skewed data in many areas. In social sciences, for instance, it can be used to model women’s age at first marriage pattern, a key indicator in studying fertility patterns. Distribution fitting is a fundamental and essential stage of data modeling before doing advancing the analysis. Kolmogorov-Smirnov (KS) distance is applicable as maximum goodness-of-fit (GOF) estimators for distribution parameters. Minimizing KS distance is optimization problem. Particle swarm optimization (PSO) algorithm is a general optimizer that can handle various optimization problems. This study assesses the characteristics of minimum KS distance estimator for lognormal distribution parameters. KS distance estimators were obtained via optimization using the PSO algorithm, so the combination of these is called the PSO-KS algorithm. We conducted a simulation to assess the performance of PSO-KS, Maximum Likelihood (MLE), Method of Moment (MME). The bias and mean square error (MSE) of point estimators were used in simulation to assess the characteristics of estimators. Meanwhile, MSE of distribution fitting, KS distance, and log-likelihood value were used to evaluate the GOF characteristics. Moreover, we demonstrated the performance of the algorithm by implementing it to women’s age at first marriage data in Indonesia. The results show that based on the bias and MSE properties, the PSO-KS point estimators yield similar characteristics with MLE, but better than MME. From the GOF perspective, PSO-KS outperforms in MSE of distribution fitting and KS distance, but not in log-likelihood value. We also observed these patterns in the women’s age at first marriage data. The contributions of this study are two-fold, first to assess the PSO-KS algorithm in the lognormal distribution case. Second, it implements the algorithm on women’s age at first marriage data, which has broad social, economic, and public health implications.
Publisher: SAGE Publications
Date: 07-2021
DOI: 10.1177/21582440211029920
Abstract: One of the targets in the Sustainable Development Goals (SDGs), which is Target 6.2, aims to achieve access to adequate and equitable sanitation. The Government of Indonesia targets universal access to improved sanitation in 2019. However, almost two out of five households in Indonesia are without access to improved sanitation. Moreover, access to improved sanitation is lower in rural areas than that in urban areas. Studies examining the drivers of the disparity in Indonesia are also limited. Therefore, this study was aimed at assessing the characteristics associated with the rural–urban disparity in access to improved sanitation facilities among households in Indonesia. We employed data from the 2016 Indonesian National Socio-Economic Survey (SUSENAS) comprising 290,848 households. The analysis was twofold. First, we fitted multivariate probit regression models using average marginal effects as the measure of association. We then conducted a detailed non-linear decomposition of the rural–urban disparity attributable to all the explanatory variables. The multivariate regression analysis suggested that households living in rural areas were 11.35% (95% confidence interval = [10.97, 11.72]) less likely to have access to improved sanitation facilities than those residing in urban areas. The decomposition analysis suggested that 48.78% are attributable to spatial, demographic, housing, and socio-economic factors, which meant that almost half of the inequalities could be reduced by equalizing these factors. The results provide a decomposition of factors amenable to curtail urban–rural inequalities. Hence, equity-oriented approaches to increasing access to improved sanitation should be prioritized to achieve universal access in 2030 in line with SDG Target 6.2.
Publisher: Elsevier BV
Date: 02-2019
Publisher: MDPI
Date: 19-04-2022
Publisher: Atlantis Press
Date: 2020
Publisher: No publisher found
Date: 2019
Publisher: Hindawi Limited
Date: 2017
DOI: 10.1155/2017/5612378
Abstract: Background . The determinants of injuries and their reoccurrence in Indonesia are not well understood, despite their importance in the prevention of injuries. Therefore, this study seeks to investigate the environmental, spatial, and sociodemographic factors associated with the reoccurrence of injuries among Indonesian people. Methods . Data from the 2013 round of the Indonesia Baseline Health Research (IBHR 2013) were analysed using a two-part hurdle regression model. A logit regression model was chosen for the zero-hurdle part , while a zero-truncated negative binomial regression model was selected for the counts part . Odds ratio (OR) and incidence rate ratio (IRR) were the measures of association, respectively. Results . The results suggest that living in a household with distant drinking water source, residing in slum areas, residing in Eastern Indonesia, having low educational attainment, being men, and being poorer are positively related to the likelihood of experiencing injury. Moreover, being a farmer or fishermen, having low educational attainment, and being men are positively associated with the frequency of injuries. Conclusion . This study would be useful to prioritise injury prevention programs in Indonesia based on the environmental, spatial, and sociodemographic characteristics.
Publisher: Informa UK Limited
Date: 17-03-2016
Publisher: IOP Publishing
Date: 06-2022
DOI: 10.1088/1755-1315/977/1/012104
Abstract: Despite great improvements in childhood mortality in the past several decades, many Indonesian children did not surpass their fifth birthday. This paper investigates the social and environmental determinants of under-five (U-5) mortality in Indonesia. By utilising the most recent Indonesia Demographic and Health Survey (IDHS) in 2017, we fitted survival regression models to the data. We observed that maternal smoking (aHR = 2.15, 95% CI = 1.15–4.03), maternal age (aHR = 2.48, 95% CI = 1.43–4.30), and maternal employment status (aHR = 1.68, 95% CI = 1.34–2.11) correspond to shorter lives of U-5 children. Conversely, we found that higher maternal education (aHR = 0.50, 95% CI = 0.29–0.87) corresponds to better child survival. Improved household sanitation also negatively associated with child mortality, albeit statistically insignificant at 5% (aHR = 0.78, 95% CI = 0.60–1.01). These associations hold after we take into account proximate and biological correlates. These findings corroborate extant literature that living environment (not only socio-economic and demographic factors) plays a prominent role in determining child survival. Hence, increasing access to and reducing the rural-urban gap related to improved sanitation facilities and curtailing smoking prevalence are paramount in further curbing child mortality.
Publisher: IOP Publishing
Date: 07-2022
DOI: 10.1088/1755-1315/1062/1/012038
Abstract: Indonesia is currently on track in achieving the Sustainable Development Goal (SDG) Goal 6. In clean water provision, many regions, especially urban areas, are facilitated by both state-owned and private-owned water utility companies. However, the coverage of these public and private clean water providers is still limited. Many households in areas not covered with formal clean water provisions secure their needs with self-supplied clean water provisions. Many works of literature show that self-supplied clean water can be an alternative to the unequal, slow and even failed public provision of water services. However, there has been little research in Indonesia that attempts to examine the current self-supplied water managed by communities. Thus, this paper explores the provision of self-supplied water at the household level using the 2018 SUSENAS data. This paper will develop two categories of households based on the source of clean water both in rural and urban areas and explore several other categories (based on administrative and geographical characteristics). The purpose of this research is to show the potential of self-supplied water in various regions in Indonesia to support the government’s strategy and progress in achieving universal access to clean water by 2030.
Publisher: Indonesian Institute of Sciences
Date: 23-06-2015
Abstract: Papua and West Papua provinces are two of many lagging provinces in Indonesia in terms of access to adequate sanitation. Hence, this paper aims to reveal determinants of access to improved sanitation by investigating the environmental, demographic, and socio-economic correlation in both provinces. Data from the 2011 Multiple Indicator Cluster Survey (MICS) were used to determine the demographic and socio-economic correlates of households access to improved sanitation facilities. Probit regression models were fitted to the data. The results suggest that district, place or residence, type and location of household water source, household size, age of household head, education of household head, and household wealth have significant correlation with access to improved sanitation. These corroborate previous findings and more importantly, it can be used to inform policy makers in Indonesia especially in Papua and West Papua Provinces.
Publisher: Badan Penelitian dan Pengembangan Kesehatan
Date: 11-03-2019
DOI: 10.22435/JEK.17.3.996.123-134
Abstract: ABSTRAK Pembakaran s ah rumah tangga yang tidak terkendali menciptakan banyak polutan berbahaya. Menurut Riskesdas 2013, satu dari dua rumah tangga Indonesia dilaporkan membakar s ah mereka di tempat terbuka. Oleh karena itu, analisis ini bertujuan untuk menguji hubungan antara pembakaran terbuka limbah padat rumah tangga dan pengalaman ISPA pada anak-anak di Indonesia dari sumber data yang sama. Kami memasang model regresi logistik sederhana dan multivariabel untuk menguji hubungan antara paparan pembakaran terbuka limbah padat rumah tangga dan pengalaman ISPA pada anak di bawah 5 tahun dari data Riskesdas 2013. Hasil analisis menunjukkan hubungan yang signifikan antara pembakaran terbuka limbah rumah tangga dan pengalaman ISPA pada anak-anak Indonesia. Secara khusus, kami menemukan proporsi yang lebih tinggi dari pembakaran terbuka di area ini terkait dengan risiko ISPA yang lebih tinggi. Hubungan ini tetap signifikan secara statistik setelah variabel penjelas lainnya dimasukkan. Namun, kami tidak menemukan hubungan yang signifikan antara pembakaran terbuka di tingkat rumah tangga. Temuan ini mengindikasikan bahwa anak-anak juga dapat terkena polusi udara luar ruangan selain dari polusi udara dalam ruangan yang berasal dari penggunaan bahan bakar memasak yang tidak aman. Dengan temuan ini, kami merekomendasikan semua pemangku kepentingan termasuk masyarakat untuk mengatasi praktik umum pembakaran s ah secara terbuka. Kata kunci: Riskesdas 2013, pembakaran s ah terbuka, pencemaran udara, ISPA ABSTRACT Uncontrolled burning of household solid waste creates many harmful pollutants. The Basic Health Research (Riskesdas) 2013 found that one in two Indonesian households burned their solid waste in the open. Therefore, the study is aimed at examining the relationship between open burning of household solid waste and experience of ARI among under-5 children in Indonesia using the same source of data.We fitted simple and multivariable logistic regression models to the 2013 Riskesdas to examine the association between exposure to open burning of household solid waste and ARI experience among U-5 children.The results showed a significant association between open burning of household waste and ARI experience among Indonesian children. Specifically, we found a higher proportion of open burning in the area is associated with a higher risk of ARI. This relationship remains statistically significant after the other covariates were included. We did not observe, however, a significant association between open burning at the household level.These findings imply that children may also be exposed to outdoor air pollution besides from indoor air pollution emanating from the use of unsafe cooking fuel. Given these findings, we urge all stakeholders including the community to tackle the prevalent practice of open burning. Keywords: Riskesdas 2013, household solid waste, open burning, air pollution, ARI
Location: Indonesia
No related grants have been discovered for Puguh Prasetyoputra.