Landslides are common natural disasters in Bogor, Indonesia, triggered by a combination of factors including slope aspect, soil type and bedrock lithology, land cover and land use, and hydrologic conditions. In the Bogor area, slopes with volcanic lithologies are more susceptible to failure. GIS mapping and analysis using a Frequency Ratio Model was implemented in this study to assess the contribution of conditioning factors to landslides, and to produce a landslide susceptibility map of the study area. A landslide inventory map was prepared from a database of historic landslides events. In addition, thematic maps (soil, rainfall, land cover, and geology map) and Digital Elevation Model (DEM) were prepared to examine landslide conditioning factors. A total of 173 landslides points were mapped in the area and randomly subdivided into a training set (70%) with 116 points and test set with 57 points (30%). The relationship between landslides and conditioning factors was statistically evaluated with FR analysis. The result shows that lithology, soil, and land cover are the most important factors generating landslides. FR values were used to produce the Landslide Susceptibility Index (LSI) and the study area was divided into five zones of relative landslide susceptibility. The result of landslide susceptibility from the mid-region area of Bogor to the southern part was categorized as moderate to high landslide susceptibility zones. The results of the analysis have been validated by calculating the Area Under a Curve (AUC), which shows an accuracy of success rate of 90.10% and an accuracy of prediction rate curve of 87.30%, which indicates a high-quality susceptibility map obtained from the FR model.

Background The outbreak of the novel coronavirus (COVID-19) has rapidly spread, causing million confirmed cases, thousands of deaths, and economic losses. The number of cases of COVID-19 in Jakarta is the largest in Indonesia. Furthermore, Jakarta is the capital city of Indonesia which has the densest population in the country. There is need for geospatial analysis to evaluate the demand in contrast to the capacity of Referral Hospitals and to model the spreading case of Covid-19 in order to support and organize an effective health service. Methods We used the data from local government publicity for COVID-19 as trusted available sources. By using the verifiable data by observation from the local government, we estimated the spatial pattern of distribution of cases to estimate the growing cases. We performed service area and Origin-Destination (OD) Cost Matrix in support to existing referral hospital, and to create Standard Deviational Ellipse (SDE) model to determine the spatial distribution of COVID-19. Results We identified more than 12.4 million people (86.7%) based on distance-based service area, live in the well served area of the referral hospital. A total 2637 positive-infected cases were identified and highly concentrated in West Jakarta (1096 cases). The results of OD cost matrix in a range of 10 km show a total 908 unassigned cases from 24 patient’s centroid which was highly concentrated in West Jakarta. Conclusions Our results indicate the needs for additional referral hospitals specializing in the treatment of COVID-19 and spatial illustration map of the growth of COVID-19′ case in support to the implementation of social distancing in Jakarta.

Purpose: This study aimed to determine the extent of the influence of gadgets on elementary school children, especially in the aspect of personality, as well as how parents' efforts in providing supervision and direction for their children. Research methodology: This type of research is qualitative with the case study method. The instruments used were observation, interviews, and documentation. Meanwhile, for data analysis, researchers used descriptive-analytic techniques. The data analyzed is then tested for validity using the credibility, transferability, dependability, and confirmability tests. Results: The results of this study indicate that there is an effect of gadgets on children's personalities, including temperament, indifference, a fast-developing mindset without appropriate stages, love to share, and be creative. Limitations: This research is far from perfect; the author realizes that there are limitations in the research process, one of which is that the subject and object of research are only taken within the scope of the family. Contribution: This research is expected to be useful in the world of education, especially educators and the family environment as a reference in implementing digital parenting for their children. Keywords: Gadgets, Personality, Children, Parents

Guidance and counseling services is a service intended for all people, meaning that anyone can accept this service. However, service delivery must be done by people who are truly professionals who understand the techniques and methods of implementation. The guidance and counseling process is a service that always prioritizes communication. Communication is a vital tool that must be considered by the counselor. For that communication must be built as comfortable as possible by the counselor. One of the things that supports the success of the guidance and counseling service process is the therapeutic communication atmosphere, which means that the atmosphere is focused on healing the client. Therapeutic is basically known in the world of nursing but at this time therapeutic is also beginning to be known in the guidance and counseling services. In this study, we conducted a literature study that discusses therapeutic communication that can be done in counseling and guidance services. The conclusion of this study is that therapeutic communication is in principle a professional communication that leads to the goal. To be able to carry out the therapeutic communication process effectively, counselors need to master communication techniques. In its actualization, therapeutic communication is used by the counselor to instill confidence in the counselee and create a close relationship between the two in order to be able to open themselves to each other in handling problems and then the goals to be achieved can be implemented to the maximum.

Nowadays, the up-to-date and consistent digital spatial information is highly expected by the users. The kind of mapping method development which offers the potential to meet the high expectations is automatic map generalization. In Indonesia map generalization was only implemented in medium and small scale, and has never been done from large scale. This research aims as a beginning in map generalization from large scale by looking at the condition of existing data at all three levels of scale. Therefore, the data selected must be available on large, medium, and small scale. In this study, Bogor is chosen because it had been mapped on a scale of 1:5,000; 1:25,000; and 1:250,000. These operations used are a) selection, b) classification, c) amalgamation, d) aggregation, and e) simplification. The feature studied in this research is building. From this research, we can determine generalization pattern from scale of 1:5,000 to scale of 1:25,000 and 1:250,000 for building feature, so it can be used as prototype design in building generalization from large scale to medium and small scale.