Global land cover products have been created for global environmental studies by several institutions and organizations. The Global Mapping Project coordinated by the International Steering Committee for Global Mapping (ISCGM) has been periodically producing global land cover datasets as one of the eight basic global datasets. It has produced a new fifteen-second (approximately 500 m resolution at the equator) global land cover dataset -GLCNMO2013 (or GLCNMO version 3). This paper describes the method of producing GLCNMO2013. GLCNMO2013 has 20 land cover classes, and they were mapped by improved methods from GLCNMO version 2. In GLCNMO2013, five classes, which are urban, mangrove, wetland, snow/ice, and water were independently classified. The remaining 15 classes were divided into 4 groups and mapped individually by supervised classification. 2006 polygons of training data collected for GLCNMO2008 were used for supervised classification. In addition, about 3000 polygons of new training data were collected globally using Google Earth, MODIS Normalized Difference Vegetation Index (NDVI) seasonal change patterns, existing regional land cover maps, and existing four global land cover products. The primary data of this product were Moderate Resolution Imaging Spectroradiometer (MODIS) data of 2013. GLCNMO2013 was validated at 1006 sampled points. The overall accuracy of GLCNMO2013 was 74.8%, and the overall accuracy for eight aggregated classes was 90.2%. The accuracy of the GLCNMO2013 was not improved compared with the GLCNMO2008 at heterogeneous land covers. It is necessary to prepare the training data for mosaic classes and heterogeneous land covers for improving the accuracy.

Background Limited information is available on how mobile health (mHealth) application (app) technology on mother and child health (MCH) is developed. This research aimed (a) to explore the process of developing mobile apps for MCH community-based services in the Indonesian setting of Pos Pelayanan Terpadu (Posyandu/Integrated Health Service Post), (b) to determine the feasibility of using the app by community health workers (CHWs), and (c) to evaluate the scalability of the mobile app at the national level in Indonesia. Methods A hybrid method was used to synergistically combine the action research principles and mixed methods comprising qualitative and quantitative methods. This study was conducted in the Pasawahan District, Purwakarta, Indonesia, from 2017 to 2019. Content analysis, coding, and categorizing were performed using NVivo 12 Pro for transcribed data. The Wilcoxon test (2018 and 2019) was conducted using STATA 15 Special Edition. Results (1) The use of a CHW notebook for data entry into the Posyandu Information System book delayed the data reporting process, resulting in the need to develop a mobile app. (2) There were significant differences in CHWs’ knowledge (p = 0.000) and skills (p = 0.0097) on training (2018) and Posyandu phases (2019). (3) A total of 964 Posyandu have been registered in the Posyandu mobile app from almost all provinces in Indonesia. Conclusions The three-year hybrid approach includes the crucial phases that are necessary to develop a mobile app that is more user-friendly and can act as a substitute for CHWs’ book. Hence, its implementation is promising for use at the national level.

Background. Given that hypertension in adulthood has its onset in childhood, it is not surprising that the prevalence of hypertension among adolescents has also increased in recent years. However, there are limited data on the prevalence of hypertension and also the new AAP guideline has not yet been applied to the Indonesian adolescent population. Thus, this study aimed to evaluate the prevalence of hypertension using the new AAP guideline and to assess the occurrence of its associated factors among Indonesian adolescents. Methods. This was a cross-sectional study conducted at twelve senior high schools in Palembang, South Sumatera, Indonesia, from June to December 2019. The study included adolescents aged 13 to 18 years old. Anthropometric measurements were obtained. Multiple logistic regression was used to assess the risk factors most associated with hypertension among adolescents, and then an equation model was created. The prevalence of hypertension was evaluated, together with several factors such as age group, sex, ethnicity, family history of hypertension, nutritional status, physical activity, perceived stress, sleep duration, nutritional intake, and smoking. Results. In total, 1200 adolescents aged 15.9 ± 0.99 years were evaluated. The prevalence of hypertension and elevated blood pressure among adolescents was 8% and 12.2%, respectively. There were significant associations between sex, family history of hypertension, hypertensive father, nutritional status, physical activity, perceived stress, and hypertension among Indonesian adolescents (p<0.05). Stress was the most powerful risk factor of hypertension with an odds ratio of 5.83 (95% confidence interval 2.91–11.6). Conclusions. Nowadays, the prevalence of hypertension among Indonesian adolescents is quite high. This may be caused by lifestyle or behavior changes among adolescents. Sex, family history of hypertension, nutritional status, physical activity, and perceived stress influenced the 27% hypertension prevalence rate among Indonesian adolescents, particularly in Palembang, South Sumatera. In order to decrease the prevalence of hypertension in adults, concern about lifestyle or behavior changes and hypertension among adolescents should be given.

This study was performed to evaluate the health information system regarding the dengue surveillance system in Indonesia. Major obstacles to the implementation of an effective health information system regarding dengue cases in Bandung are examined, and practical suggestions on measures to overcome them are discussed. The study utilized a mixed-method research design using qualitative approaches: document analysis, key informants and focus group interviews. Thirty key informants were selected, comprised of policymakers, senior managers, and staff at the Ministry of Health. Data from documents and transcripts were evaluated through a modified Institutional Analysis and Development (IAD) framework described by Ostrom. Through this study, we have identified several issues that hinder the effective implementation of the health information system in the case of dengue in Bandung. In the end, we propose several recommendations for reform that encompasses motivational, strategic, and structural approaches to each component of the analysis. Through evaluation of the health information system for dengue surveillance in Indonesia, we conclude that well-coordination in multi-level governance in a country as large as Indonesia is the key in the implementation of the health information system in different levels of agencies. Furthermore, the adaptability of human resources in adopting a new information system also plays an important part.

Posyandu  cadres  are  community  elements  that  have  an  important  role  in  carrying  out Posyandu activities. Cadre's tasks include registration, recording, weighing, counseling, and discussing the results of Posyandu activities. One important task of cadres is recording and reporting. So far, the recording and reporting of posyandu is still done manually, therefore cadres need to be supported by information technology to facilitate the task. The iPosyandu application is one of the smartphone application innovations that is used to facilitate cadre assignments in Posyandu activities. This study aims to determine the differences in knowledge of cadres before and after training about the use of iPosyandu applications. The research method used is analytical with cross sectional approach. The subjects of this study were 86. Posyandu cadres in Pasawahan District. Retrieval of data in this study using research instruments in the form of questionnaires given before and after training. The results of this study  indicate  that  there  are  differences  in  Posyandu  cadre  knowledge  before  and  after training, namely p = 0,000 (p <0.05). Cadres who have good knowledge increase up to 100%. Before  the  training,  cadres  who  had  good  knowledge  were  54.65%.  Increased  cadre knowledge score of 45.35%. The conclusion of this study is that there is a difference in cadre knowledge after training on the use of the iPosyandu application.