Syarifah Aini Dalimunthe, Syarifah Aini
Pusat Penelitian Kependudukan - Lembaga Ilmu Pengetahuan Indonesia (LIPI)

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Faktor-Faktor yang Mempengaruhi Kualitas Permukiman Pasca Gempa Bumi Di Kecamatan Pleret Kabupaten Bantul Giyarsih, Sri Rum; Dalimunthe, Syarifah Aini
TATALOKA Vol 15, No 1 (2013): Volume 15 Number 1, February 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/tataloka.15.1.28-38

Abstract

This research was conducted in Pleret Subregency, Bantul Regency, specifically inWonokromo and Wonolelo Village. This sub regency had the highest housing destruction in BantulRegency due to earthquake in 2006. This research aimed to understand the influencing factors of housing quality post-earthquake in the research area. Method used was survey method i.e.structured interview with 60 respondents in both villages and in-depth interview with key informants. Data was processed and analyzed inferentially statistic and qualitative descriptive. The result of this research is a difference in housing quality in both villages after earthquake. This difference occurs under the influence of internal and external factors. Internal factor includes citizen’s social and economic status which takes role in housing quality change in WonokromoVillage. Meanwhile, external factors involve financial support for housing rehabilitation and
CERAM : AN INVESTIGATION OF RESPONSE TO THE CHANGING CLIMATE IN GREATER JAKARTA Dalimunthe, Syarifah Aini
Jurnal Sosioteknologi Vol 15, No 2 (2016)
Publisher : Kelompok Keahlian Ilmu Kemanusiaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/sostek.itbj.2016.15.02.12

Abstract

Over the past decade, increased knowledge coupled with economic incentives, subsidies and related interventions has raised awareness and concern about climate change in vulnerable Greater Jakarta. This paper will analyze index and status of responsiveness and pro environmental behavior of each region within Greater Jakarta towards climate change by means of Climate Change Effectivity Response Assessment (CERAM) using multidimensional scaling technique (MDS). Total data used is 1261 respondent. Overall, the index shown Bogor responding and act  the most to climate change and likely having more  pro-environmental behavior. Bekasi holds the highest index in individual resources (71.47). The most influencing attribute regarding to index and status response are willingness to take out insurance. The result of this study will provide evidence based to support more ambitious regional response to climate change based on the status of responsiveness of each region in Greater Jakarta.Keywords: climate change, Greater Jakarta, multidimensional scaling (MDS), vulnerable, response
Tinjauan Kerentanan, Risiko dan Zonasi Rawan Bahaya Rockfall di Kulonprogo, Yogyakarta Hizbaron, Dyah R.; Hadmoko, Danang Sri; Wibawa, Samodra; Dalimunthe, Syarifah Aini; Sartohadi, Junun
Forum Geografi Vol 24, No 2 (2010): December 2010
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.852 KB) | DOI: 10.23917/forgeo.v24i2.5021

Abstract

This research aims at identification of spatial plan zonation in rock fall prone areas. Research method applies hazard, vulnerability and risk analysis as an input for spatial modeling using Multi Criteria Evaluation (MCE). Research reveals that in Girimulyo is susceptible towards rock fall. In the last decades, there were 16 occurrences of rock fall that impacted to physical damages. Fortunately, such disaster did not cause any harm to human life. Therefore, research argue that physical vulnerability analysis can be analyzed, while social vulnerability cannot be analyzed further, since it had less data support. According to the research, there are more than 48 housing units located in hazard zone. Hence, local government should initiate structural mitigation to avoid further loss. Research also reveals that areas with high susceptibility will not directly consider as high risk zone, unless it has high vulnerability index. Example: areas along escarpment, where it has high susceptibility, but it has no element at risk in the area. Thereby, research tries to present zonation for prone hazard areas, using risk index. The result is quite representative, since possible areas to be developed is anywhere alongside road network. Indication of the area is produced from the multi criteria analysis. Multi criteria analysis is an essential method to combine spatial data and its attribute. Using such method requires more data input and expertise in justifying indicator to be selected.