Kabupaten Magelang merupakan daerah replete gangguan akibat kekurangan iodium (GAKI). Anak-anak yang lahir dan tumbuh di Kabupaten Magelang berisiko mengalami hambatan pertumbuhan dan perkembangan. Pada tingkat nasional terdapat program stimulasi, deteksi, intervensi dini tumbuh kembang (SDIDTK). Akan tetapi program ini masih memerlukan evaluasi karena persentase cakupan pelayanan SDIDTK di Kabupaten Magelang masih rendah (79,5%). Artikel ini bertujuan melakukan evaluasi  pelaksanaan program SDIDTK di Kabupaten Magelang sebagai daerah endemik GAKI. Penelitian ini merupakan penelitian deskriptif kualitatif yang dilakukan pada bulan Maret-Desember 2016. Informan sebanyak 20 orang, yang dipilih secara purposive sampling. Pengumpulan data menggunakan metode wawancara mendalam. Data hasil wawancara dianalisis dengan menggunakan kerangka Logic Frame Analysis (LFA). Kendala pelaksanaan program SDIDTK berupa keterbatasan jumlah SDM pelaksana, belum seluruh SDM pelaksana memperoleh pelatihan, keterbatasan sarana prasarana pendukung program, dan keterbatasan waktu pelaksanaan. Kader, orangtua, serta guru PAUD/TK potensial dilibatkan untuk mengatasi kendala keterbatasan jumlah SDM

Latar Belakang. Suplementasi vitamin A belum menjangkau seluruh anak Indonesia usia 6–59 bulan. Tujuan. Penelitian ini bertujuan untuk menganalisis secara spasial cakupan suplementasi vitamin A dan hubungannya dengan kejadian diare pada anak di Indonesia. Metode. Studi ekologi dengan pendekatan spasial ini menganalisis data yang dikumpulkan oleh Kementerian Kesehatan RI pada tahun 2021. Populasi studi adalah anak-anak berusia 6–59 bulan di Indonesia, dengan sampel seluruh anak yang mendapat suplementasi vitamin A yang tercatat dalam profil kesehatan Indonesia tahun 2021. Penelitian ini menganalisis cakupan vitamin A pada 34 provinsi di Indonesia dan kejadian diare pada anak. Analisis regresi spasial dilakukan dengan memanfaatkan perangkat lunak QGIS versi 3.10 dan Geoda sebagai instrumen penelitian. Hasil. Hasil pemetaan cakupan vitamin A menunjukkan terdapat 22 provinsi dengan cakupan di atas 81 persen dan satu provinsi dengan cakupan di bawah 25 persen. Terdapat autokorelasi spasial secara mengelompok (Moran's I= 0,549, dengan Io= -0,0303) antar provinsi dalam cakupan vitamin A. Kejadian diare pada balita memiliki autokorelasi positif dengan cakupan vitamin A (Moran's I= 0,659, dengan Io =-0,0303) dan membentuk pola klaster. Analisis regresi spasial lag memperkuat temuan terdapatnya autokorelasi spasial antara kejadian diare dan cakupan vitamin A (koefisien=0,171; p value= 0,0464), dan variabel cakupan vitamin A memiliki pengaruh secara signifikan terhadap kejadian diare (p=0.0000). Analisis dengan metode local indicator of spatial association (LISA) menemukan bahwa provinsi Banten, Jawa Barat, dan Jawa Tengah berada pada kuadran High-High, sedangkan provinsi DKI Jakarta dan DI Yogyakarta berada di kuadran Low-High, serta provinsi Papua dan Papua Barat berada pada kuadran Low-Low. Kesimpulan. Terdapat heterogenitas pola spasial pada cakupan vitamin A dan terdapat hubungan autokorelasi spasial antar kejadian diare dan cakupan vitamin A antar provinsi di Indonesia. Dibutuhkan perencanaan sistematis untuk mengatasi kesenjangan program suplementasi vitamin A dan memastikan peningkatan cakupan untuk peningkatan kualitas kesehatan anak.

Introduction: At the end of December 2020, there were 93,035 Covid19 cases reported in Central Java. The spatial analysis is useful for assessing the association of environmental and health services factors with new Covid19 cases. Methods: This study was conducted to identify a spatial autocorrelation between environmental conditions and health services on new Covid19 cases in Central Java Province in 2020. The data were obtained from Central Java Profile Published in 2021 with a cross-sectional design. This autocorrelation regression technique was used to determine the relationship between districts/cities for new Covid19 cases. The independent variables in this study were environmental factors such as access to quality drinking water, access to quality sanitation, percentage of Open Defecation Free (ODF) villages, and percentage of healthy food management places. In addition, the independent variables also covered health service factors such as the number of public health centers, hospitals, medical personnel, and population density. Results and Discussion: The findings found that in Central Java province, the factors that influenced new Covid19 cases included population density (p-value 0.0001; Morran I -0.032) and the number of medical personnel (p-value 0.0001; Morrans I 0.021). Conclusion: The new cases of Covid19 in Central Java Province formed a clustered pattern. Factors significantly influencing the regression test are population density and the number of medical personnel. Besides that, spatial autocorrelation was also found in other variables in this study but was not significant.

The Covid-19 pandemic that has been going on since March 2020 has spread rapidly, with high mortality In Indonesia. Central Java, Covid-19 remains a disease with a Case Fatality Rate (CFR) of 4.4% and is above Indonesia’s CFR of 3.0%. In Magelang itself,  positive cases of Covid-19 in 2020 reached 4418 and were among the top 3 cases in Central Java Province. This study’s purpose was to spatially describe the distribution of new cases of Covid-19 in terms of population density and elevation of the sub-district area in Magelang. The type of research is descriptive quantitative with ecological studies using a spatial approach. The results showed that the distribution of new cases of Covid-19 has a unique pattern in mapping based on population density and altitude. Some of the new distribution cases showed a distribution pattern following the regional elevation and almost entirely following the pattern of population density. The increase of Covid-19 tends to be higher in areas with high-density populations and low-altitude regions. This study concludes that the distribution pattern of new Covid-19 cases is influenced by population density and the area’s height during the peak period of new Covid-19 cases in 2020 at Magelang.

The environment is an inseparable element of human health.  A good environmental management will bring benefit to human and surrounding. The successful implementation of International Standardized Management System (SML) ISO 14001 is determined by various factors and one of the factors is training. The purpose of this study was to analyze the correlation of training climate and self-efficacy to the effectiveness of ISO 14001 SML training. This study was categorized as a quantitative type with a cross-sectional design. The population consisted of participants with the total sampling of 90 respondents. The research variables include the training climate, self-efficacy and the effectiveness of the training. This study was conducted in PT XYZ, one of the manufacturing company in Jakarta. The results indicated that training climate and self-efficacy promote the effectiveness of the training with the percentages of 46.7% and 51.1% respectively. The prevalence of ratio that increases the opportunity for practical training is managers’ support (12.9), mastery experience (5.7), and opportunities to use learned abilities (0.2). In conclusion, the climate training and self-efficacy show a positive relationship with the effectiveness of training