Pemerintah Indonesia telah menggiatkan upaya untuk memenuhi target Imunisasi Dasar Lengkap (IDL) di Indonesia. Salah satu upaya yang dijalankan yaitu penyuluhan kepada para ibu untuk mengedukasi mereka apa pentingnya imunisasi kepada bayi, sehingga dapat mendorong para ibu untuk membawa anaknya mendapatkan imunisasi, terutama 5 Imunisasi Dasar Lengkap. Kementrian Kesehatan Indonesia juga mengupayakan untuk menjamin akses pelayanan di daerah yang sulit dijangkau dengan cara bekerja sama dengan lintas sektor lainnya, menjamin ketersediaan vaksin, dan pelatihan kepada petugas kesehatan. Urgensi permasalahan prioritas merupakan salah satu bentuk Upaya Kesehatan Bersumber Daya Masyarakat (UKBM) yang dikelola dan diselenggarakan dari, oleh, untuk dan bersama masyarakat dalam penyelenggaraan pembangunan kesehatan, guna memberdayakan masyarakat dan memberikan kemudahan kepada masyarakat dalam memperoleh pelayanan kesehatan dasar untuk mempercepat penurunan angka kematian bayi dan balita. Objek yang akan diambil adalah Desa Lengkong Kulon, lokasinya di pesisir sungai cisadane, Desa Lengkong Kulon Kecamatan Pagedangan - Kabupaten Tangerang. Permasalahan yang terjadi adalah puskesmas pagedangan di Desa Lengkong Kulon ini belum memiliki sistem imunisasi online sebagai fasilitas kesehatan berbasis web yang dapat mengingatkan para ibu untuk mengimunisasi anaknya tepat waktu. Selain itu proses penyebaran informasi mengenai ketersediaan vaksin di Puskesmas masih belum tersistem dan penghitungan stok yang dibutuhkan masih menggunakan perkiraan secara manual. Program penerapan sistem imunisasi pada puskesmas pagedangan ini bertujuan untuk menerapkan sistem imunisasi online berbasis web yang dapat membantu para bayi mendapatkan imunisasi secara tepat waktu dengan cara mengirimkan pengingat (reminder) kepada pihak Puskesmas dan pihak ibu, sehingga kedua pihak tersebut dapat mempersiapkan hal-hal yang diperlukan untuk memenuhi imunisasi, terutama Imunisasi Dasar Lengkap. Selain itu sistem imunisasi ini juga dapat membantu Puskesmas mempersiapkan vaksin yang akan dibutuhkan pada waktu tertentu. Kegiatan akan dilakukan pada beberapa tahap meliputi (1) survey lokasi; (2) persiapan lokasi; (3) pengadaan sarana dan prasarana; (4) perekrutan peserta dan asisten trainer; (5) perekrutan koordinator lapangan; (6) pelaksanaan pengabdian (pelatihan, produksi, promosi dan distribusi); (7) evaluasi hasil produksi, promosi dan distribusi; dan (8) penulisan laporan PKM.
Keeping employees engaged is strategically important. This paper analyzes the drivers of employee engagement from the point of view of organizational support for employee well-being. The article contains an analysis of data of 509 respondents from a faithbased higher education in Indonesia, conducted through PLS structural equation modeling analysis. The result indicates that the organization support in terms of organization internal communication, performance-based reward and recognition, and perceived organization support on holistic employee subjective well-being has a direct positive influence on employee engagement. The perceived organization support on holistic employee subjective well-being played a mediating role between employee engagement and teamwork dynamic, supervisor support, and work environment. The findings imply theory and practice especially in enhancing employee engagement experience through organizational support. For future research, we suggest including more various organizations and industries to better understand the variable interdependencies in various contexts.
Indonesian Disaster Data and Information in 2016 showed that flood has reached a soaring 32.2% overall. In one of the common flood region ( 2016), Tangerang, the flood had impacted 30,949, and destroys more than 400 residentials. In spite of this dreadful fact, Tangerang has no systematically ways of detecting the flood patterns. Therefore, there is urgency for a system that is able to detect potential flood risks in Tangerang. This study explores a mean to systematically find flood patterns in Tangerang and attempt to visualize the risks based on 11 years of data on four major river stations within Tangerang vicinity. All the data obtained from Ciliwung Cisadane River Basin Center (BBWS) between 2009 until 2017 with total data of 368,184 rows. This study proposes an interactive dashboard based on the water level data covering rivers of Angke, Pesanggrahan, and Cisadane. Three clustering methods are implemented, the K-Medoids, DBScan, and x-means, to segregate the water level data, taken from four stations obtained from Ciliwung Cisadane River Basin Center (BBWS), into meaningfull periodic flood patterns. The output of this research is an interactive dashboard created based on the newly found patterns. The dashboard is designed to be simple and easy to use for non-technical persons. We believe that the output of this research could be implemented into the decision-making process taken by the Ciliwung Cisadane River Basin Center (BBWS) in order to improve countermeasure attempts on the potentially flooded areas.
COVID-19 is a contagious disease that is spreading rapidly to all countries in the world. Data shows that the progression of the disease is different from one country to another. The dynamic of new cases and death are influenced by rules that restrict human interaction, the quality of healthcare services, and the complexity of human behaviors. This paper aims to show how socio-economic factors contribute to the patterns of the pandemic in various countries. The analysis was done for two periods, reflecting two earlier phases of the pandemic: the first six months and the next six months afterward. The results provide helpful lesson-learned for regional and global policymakers to be better prepared with better policies in case of future pandemics. The analysis is done as follows. Firstly, we classify the countries based on the biweekly series of the infection parameter (????) and the recovery one (γ). Both parameters are estimated from the COVID-19 data by using the SIR (Susceptible, Infectious, Recovered) model. Secondly, we classify the countries based on the ???? and γ parameters or the combinations of socio-economic indicators. The chosen indicators are the Economic Complexity Index (ECI), the Compliance Risk Index (CRI), the Anti-Money Laundering (AML) index, the Gross Domestic Product (GDP) per Capita, and School Enrollment. The indices reflect the economic condition, safeness, education, and obedience to the government. For the first six-month phase of the pandemic, we choose 29 countries, and for the second phase, we choose 34 countries. The chosen countries are the ones that rank highest in terms of COVID-19 testing. Our analysis shows how countries are classified based on the pattern of COVID-19 progression and which indices are the most relevant for each cluster.
Coronavirus Disease 2019 (COVID-19) is a disease caused by the SARS-CoV-2 virus which infects the human respiratory. On March 11, 2019, World Health Organization (WHO) officially declared the COVID-19 outbreak as a global pandemic because in less than three months it had infected more than 120,000 people in 123 countries from Asia, Europe, United States, to South Africa. This rapid growth of cases is caused by many factors. Therefore, the author wants to examine social and economic factors in 29 countries regarding the COVID-19 case. In this study, the author uses 122 variables; consisting of 107 variables from social factors and 15 variables from economic factors. Because the number of variables used was quite large, the author reduced the data using the Principal Component Analysis (PCA). Then, 15 main components are formed from the results of the application of PCA carried out on 122 variables. It will then be used to form a regression equation for the COVID-19 case which consists of the average new cases of COVID-19 per day, the rate of infected population COVID-19, the percentage of deaths caused by COVID-19, and the percentile of the new cases of COVID-19 per day.
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