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Impact of Infrastructure Availability to The Level of Slum Area in Banyumanik District Astuti, Khristiana Dwi; Pangi, Pangi; Mahendra, Bayu Ika
Jurnal Teknik Sipil dan Perencanaan Vol 20, No 1 (2018): Jurnal Teknik Sipil & Perencanaan
Publisher : Semarang State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jtsp.v20i1.13231

Abstract

Slum especially in big cities such as Semarang City occurred not only in the inner city but also spread tothe suburbs of Semarang City, one of them in Banyumanik District. Based on the Decree of Mayor of Semarang no.050/801/2014 about Determination of Slum Location at Semarang City, there are 6 (six) urban villages inBanyumanik District which have slum areas. Determination of the slum area is based on the Semarang City SlumInventory Study from 2010 to 2014. As a consequence, it is known that the main problem causing the development of slum settlement is related to the availability of environmental infrastructures : road network, sanitation, clean water, and drainage. This research was conducted to determine the slum level in the slum areas located inBanyumanik district based on the availability of environmental infrastructure. The analysis included descriptive analysis to explain the characteristics of slum settlements and the availability of existing environmental infrastructure, and scoring analysis to determine the impact of the availability of this infrastructure on the slum level.Based on the results of the analysis, shows that the slum settlements in RT 01 / RW IV of Jabungan have the highestslum level in Banyumanik district.
Impact of Infrastructure Availability to The Level of Slum Area in Banyumanik District Astuti, Khristiana Dwi; Pangi, Pangi; Mahendra, Bayu Ika
Jurnal Teknik Sipil dan Perencanaan Vol 20, No 1 (2018)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jtsp.v20i1.13231

Abstract

Slum especially in big cities such as Semarang City occurred not only in the inner city but also spread tothe suburbs of Semarang City, one of them in Banyumanik District. Based on the Decree of Mayor of Semarang no.050/801/2014 about Determination of Slum Location at Semarang City, there are 6 (six) urban villages inBanyumanik District which have slum areas. Determination of the slum area is based on the Semarang City SlumInventory Study from 2010 to 2014. As a consequence, it is known that the main problem causing the development of slum settlement is related to the availability of environmental infrastructures : road network, sanitation, clean water, and drainage. This research was conducted to determine the slum level in the slum areas located inBanyumanik district based on the availability of environmental infrastructure. The analysis included descriptive analysis to explain the characteristics of slum settlements and the availability of existing environmental infrastructure, and scoring analysis to determine the impact of the availability of this infrastructure on the slum level.Based on the results of the analysis, shows that the slum settlements in RT 01 / RW IV of Jabungan have the highestslum level in Banyumanik district.
Strategies for increasing the adaptive capacity of the community in vulnerable settlement areas impacted by the mudflow disaster Ekawati, June; Pangi, Pangi; Hardiman, Gagoek; Pandelaki, Edward E.
International Journal of Disaster Management Vol 8, No 1 (2025)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v8i1.40474

Abstract

The mudflow disaster has made the surrounding community's residential areas vulnerable, so efforts are needed to strengthen the communitys adaptive capacity to reduce vulnerability. This study aims to develop strategies to minimize settlements vulnerability based on communities adaptive capacity in areas impacted by the Lapindo mudflow disaster in Sidoarjo, Indonesia. The research method used is the explanatory sequential mixed methods approach with quantitative primary data obtained from structured questionnaires and qualitative data from field surveys and interviews, with analysis in the form of integrating the two databases. The research results showed that the level of community adaptive capacity was moderate, slightly above the average score (3.19). The lowest score was on education level (1.78), and the highest score was on social relations (4,36). The strategies to reduce vulnerability are increasing public education, empowering the community's economy, increasing the availability and capacity of disaster infrastructure, conducting massive reforestation, providing technical assistance, access to banking facilities, clean water networks and distillation, and supporting community activities in social, cultural, and religious fields, as well as strengthening village institutions. This study concludes that social, cultural, and religious variables play a role and become important capital in increasing the community's adaptive capacity, which can later reduce vulnerability in an area towards a disaster-resilient area.