This study aims to identify the spatial characteristics of Bajo Tribe settlement around coastal areas in South Halmahera, environmental analysis and settlement conditions by literature review and field observation. The results show that the existence of Bajo Tribe in North Maluku deployment in coastal areas, especially in Sula and Kayoa districts. Bajo ethnic settlements are generally located in areas of mangrove forest with the settlement condition is slum and are not equipped with adequate facilities and infrastructure for supporting community activities. Deployment of Bajo Tribe settlements is not accompanied by sustainable environmental arrangement. Bajo Tribe generally working as traditional fisherman with limited fish catching; therefore their earning cannot improve their welfare.
The swarm earthquake that occurred in West Halmahera which recorded a lot resulted in damage to houses in several rural areas. Although human casualties are not too significant, they affect the stability and capacity of an area in terms of regional development. Mapping of seismic hazard zone is a solution to minimize the impact that will be caused by the earthquake. The purpose of the study is to initial mapping seismic hazard zoning based on Horizontal Vertical to Spectral Ratio (HVSR) analysis. The estimated values of the fundamental frequency range from 0.0 Hz up to 4.9 Hz increases with decreasing depths of basement rock. Regions with the lowest dominant frequency value are South Ibu sub-District, this shows that the area has a large sediment thickness and is a vulnerable area of high. Amplification value range of 4.7 – 51, where the higher the amplification value, the thickness of sediments. The highest amplification value area is Jailolo sub-District and is an area that has a high risk of damage if shaken by an earthquake. This shows that areas that have high amplification values are areas that have the greatest potential for damage due to earthquakes. Analysis obtained from the results of the data shows that the topographic influence is also very significant with the earthquake waves that occur.
SIBI (Sistem Isyarat Bahasa Indonesia) is a sign language established by the Government of Indonesia as a standard of communication that used in Special School. Hence, not everyone can understand the sign language, even though people have ability to hear. They also must be able to understand the sign language in order to conduct a communication. Currently, technology of recognition has been applied to hand gestures that can translate sign language. Various studies regarding sign language recognition have been developed and there are many applications that can recognize sign language through hand gesture as datasets using webcam, but there still restricted on the datasets in SIBI. Therefore, the study aims to create SIBI datasets via hand gesture using experimental method. So that, the application can be used by SIBI users. SIBI datasets were successfully created with signs that consisting of 8 static word. Based on the confusion matrix, all the signs that has been created have a precision of 100%, meanwhile based on the test results with sufficient lighting conditions and plain background, SIBI datasets has a prediction success rate of 97,5%.
The earthquake that occurred in the West Halmahera region was very detrimental, even though the human casualties were not very significant. But it will affect the stability and capacity of a region in terms of regional development. The mapping of earthquake-prone areas is carried out by a probabilistic seismic hazard analysis (PSHA) method to analyze soil movement parameters, namely Peak Ground Acceleration so that it can determine earthquake-prone areas in West Halmahera. The results of seismic hazard analysis show that the West Halmahera area is an area that is relatively prone to earthquake hazards because it is still strongly influenced by subduction (megathrust) earthquakes from the Philippine plate, Maluku sea and Sangihe. This is indicated by the value of earthquake acceleration on the Peak Ground Acceleration for the 500 year return period of around 0.38 - 3.69 g and 0.30 - 3.69 g for the 2500 year return period.
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