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All Journal Indonesian Journal of Geography Biodiversitas Journal of Biological Diversity
Saiya, Halvina Grasela
School Of Environmental Science, Universitas Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences

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Spatial Environmental Quality Assessment Of Settlement Area In Tangerang City Dwi Nowo Martono; Halvina Grasela Saiya; Saiful Amri
Indonesian Journal of Geography Vol 54, No 1 (2022): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.65825

Abstract

This study aims to describe the role of changes in the characteristics of spatial patterns on the environmental quality in Tangerang City, Indonesia. It was carried out by detecting and explaining the effect of thermal comfort on the residential area using a combination of spatial and statistical analysis methods. The results showed that the changes in the characteristics of the spatial pattern, which include building density, vegetation area, accessibility, and road network connectivity significantly affected the spatial environmental quality index (IKLS) and temperature heat index (THI). Meanwhile, the changes in THI were caused by the continuous decline in vegetation area and an increase in population due to the urbanization process of Jakarta and other cities.
Spatial Distribution Pattern of Covid-19 Cases and Their Characteristics In DKI Jakarta and Surrounding Areas Martono, Dwi Nowo Nowo; Saiya, Halvina Grasela
Indonesian Journal of Geography Vol 56, No 2 (2024): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.90542

Abstract

The COVID-19 pandemic has significantly affected various countries worldwide, including Indonesia. This study specifically examines the spatial distribution pattern of COVID-19 cases among sub-districts in DKI Jakarta and its neighboring areas. The study investigates the impact of spatial characteristics such as building density, population density, road network connectivity, and accessibility, as well as infrastructure completeness. A spatial regression model was employed to analyze the influence and pattern of COVID-19 case distribution among sub-districts. Spatial modeling indicates that geographic location has an effect on the data, often referred to as the autocorrelation effect. Moran’s Index was used to test the relationship between district locations and the number and growth rate of cases.The study findings reveal a positive spatial autocorrelation in the growth rate pattern of COVID-19 cases among sub-districts and clusters in DKI Jakarta and its surrounding areas. The spatial regression model, specifically the Spatial Autoregressive Model (SAR), identifies road connectivity, number of health centers, building density, and population density as spatial variables that significantly influence the rate of COVID-19 cases.
Dispersion of tongka langit banana in Buru and Seram, Maluku Province, Indonesia, based on topographic and climate factors HALVINA GRASELA SAIYA; Adriana Hiariej; ANNEKE PESIK; ELIZABETH KAYA; MEITTY LOUISE HEHANUSSA; FERAD PUTURUHU
Biodiversitas Journal of Biological Diversity Vol. 21 No. 5 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d210529

Abstract

Abstract. Saiya HG, Hiariej A, Pesik A, Kaya E, Hehanussa ML, Puturuhu F. 2020. Dispersion of tongka langit banana in Buru and Seram, Maluku Province, Indonesia, based on topographic and climate factors. Biodiversitas 21: 2035-2046. The aim of this research is to understand the dispersion of tongka langit banana as one of the important endemic species in Maluku and also to know the topographic and climate factors hypothetically influencing the dispersion of tongka langit banana. The associated environmental factors are an initial approach that can be used to assess why the species only exists in certain locations. The data of coordinates were collected from survey activity; meanwhile, the slope and contour data were from the Shuttle Radar Topographic Mission (SRTM); and the climate data were from Meteorology, Climatology, and Geophysical Agency through statistic data publication. Then, all data were analyzed using Remote Sensing and GIS methods. The results showed that in Buru Island, tongka langit bananas were found in four locations, with climate condition was rather wet and found on slope grade of 0-8% and 8-15%. Whereas in Seram Island, tongka langit bananas were found in fifteen locations, with wet climate conditions, and on the same condition of slope as those found in Buru island.
Co-Authors Adriana Hiariej ANNEKE PESIK ELIZABETH KAYA FERAD PUTURUHU Martono, Dwi Nowo MEITTY LOUISE HEHANUSSA Saiful Amri