The Bandung Regency Spatial Plan for 2007-2027 regulates The Patuha Mountain Area as one of the regions that have a special role in the tourism sector. This research was conducted to find out the attractiveness value and motivation of tourists on tourist attractions as well as the relationship between them in The Patuha Mountain Area. Assessment of tourist attractiveness value was based on the completeness of attraction, tourist facilities, and accessibility. Meanwhile, tourist motivation was based on tourist preferences, tourist needs, and tourist travel status. The variables were analyzed using spatial analysis and chi-square test statistics. The results indicated that the high attractiveness value has a nodal destination system, while medium and low attractiveness value has a linear destination system. Tourist motivation was being dominated by flashpacker types. Tourists who visited The Patuha Mountain Area are not being influenced by the attractiveness value of tourist attractions. Although tourist attraction has complete tourist facilities, tourists only focus on the attraction compared to the tourist facilities and accessibility.
Tuberculosis (TB) disease has still become the leading cause of morbidity and mortality in Indonesia. TB had a relationship between human and their environment, especially in an urban area. The urban area had the highest population and density, that is the way the accurate information about the urban environment of the TB area is critical. The research objective to representing characteristic spatial of TB patients lived in Jakarta year 2017. The research used a method using visual interpretation from superimposed spatial data. Spatial data collection from google earth data, household area (RW boundary), and TB patient addressed from the hospital. The total TB patients in Jakarta City year 2017 in total 114 from a hospital and distributed in 108 household areas (RW boundary). The result of geoinformatics of the urban environment, first building population, building density, vegetated covered, and distance from the main road. The TB area characteristic had two classified high and low, based on total patient TB disease in a household area (RW boundary). The research concluded of the geoinformatics of TB disease in Jakarta City year 2017 with highly classified is high building population and building density, lowest vegetated covered (high temperature), and near the main road. The research also uses the PAM algorithm to cluster the patient and resulted in four clusters with differ mostly in building density, building temperature, and the distance to the nearest river.
<p><span lang="IN"><span style="font-size: medium;">The availability of food <span>in</span> a region is the most important thing for human development. Food is a major problem in <span>poor families</span>. Lebak Regency is a pocket of poverty located in Banten Province. The objectives of the study analyzed (1) spatial pattern of food availability level in Lebak Regency; (2) the relationship between elevation and slope to the area of food availability in Lebak Regency; (3) the relationship of food <span>available</span> to <span>poor families</span>. The method of analysis used in this study is spatial analysis <span> </span>and statistical analysis (<span>Chi-Square</span>). The results conclusion that: first, the high availability of food surplus area <span>spread</span> outside the capital of Lebak Regency. <span>Second, the elevation and slope had no effect on food availability; Third, the poor rural families are concentrated in the southern part of Lebak Regency, while urban poor located in the northern part, especially in the capital of Lebak Regency; Fourth, the relationship between food availability and the percentage of poor families is not significant at α = 0.05</span></span></span><span lang="IN">.</span></p>
In carrying out a travel plan, people will have to consider a lot of things such as distance and their financial abilities as well as various other considerations so that they are able to pick the most suitable transportation mode to reach their destination. This includes making a trip to one’s workplace. This research was conducted in Cikupa Sub-district, which is a sub-district with the highest number of workers in Tangerang Regency, as well as an industrial central area surrounded by regular and irregular settlements with differences in settlement quality, derived from settlement patterns, accessibility, and existing facilities, resulting in differences in the choice of transportation modes for work. This study aimed to analyze the transportation mode choice by workers in Cikupa Village and the variables that influence it. The variables studied were the travel-based characteristics including travel costs, travel time, and distance traveled. Variables were processed and analyzed with spatial analysis methods supported by statistical methods of chi-square and contingency coefficient. The results showed that the majority of workers in Cikupa Sub-district use private vehicles, mainly motorcycle. The results of the statistical test indicated that the only variables that greatly influenced the choice of transportation modes are travel costs and travel time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.