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Community Response to Settlement Relocation After Liquefaction in Petobo Village Elly Kustiana; Iwan Alim Saputra; Amalia Novarita
Social, Humanities, and Educational Studies (SHEs): Conference Series Vol 3, No 1 (2020): Social, Humanities, and Educational Studies (SHEs): Conference Series
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.111 KB) | DOI: 10.20961/shes.v3i1.45030

Abstract

The liquefaction disaster caused loss of compact settlements in Petobo, the attention of the government to relocate community settlements to permanent residences. The purpose of this study was to knowing the response community of relocated settlement post liquefaction disaster in petobo. This study of type a qualitative description for purposive sampling. The general results analysis studies that 25 (83,33 %) to knowing the response community and 30 (100 %) the community response agree with for plan the relocated settlement’s post liquefaction disaster in Petobo, Palu City. For 28 (98,33 %) the community response disagrees with the government policy due to move the settlements another place. Generally, the community hope if the relocated settlements to do as soon as possible and still in petobo. Disagree process due too the community will not leave from petobo because they are authentic community in petobo.
Spatial Distributio n of Economic Facilities in Tondo Urban Village, Palu City Ikbal; Iwan Alim Saputra
Tadulako Science and Technology Journal Vol. 4 No. 1 (2023): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v4i1.16336

Abstract

This research was conducted in Tondo Village, Palu City with the aim of knowing the spatial distribution (distribution and distribution patterns ) of economic facilities in Tondo Village, Palu City, knowing the characteris tics of economic facilities (Shops and Warungs ) in Tondo Village, Palu City. This research is a descriptive survey method research with samples taken using Saturated samples (taken all) for distribution and spatial patterns to determine the characteristics of respondents using simple random sampling, namely 15% of the population of 38 respondents Stores and 23 responses and Warungs from the entire population of 253 Stores and 152 Warungs in Tondo village, data collected through observation, interviews , and document recording methods whose results were analyzed using Nearest neighbor analysis , the results showed that the spatial distribution pattern of Stores and Warungs in Tondo Village showed a clustering pattern. The characteristics of economic facilities (shops and stalls ) in Tondo Village , Palu city are owned by traders with an average age of 30 to 40 years with a high school education level, the income earned from the shop business is Rp.6,293,478, per month and the average shop business income is Rp.9,131,579, per month, the reason for choosing a business location is because they see an opportunity that the enthusiasm of buyers in this location is more promising for profit, the length of time they have been in the shop and shop business is above five years on average
Land Use Change on Potential Landslide Vulnerability in Palolo Sub-district, Sigi Regency Novitasaril T; Aziz Budianta; Iwan Alim Saputra
Tadulako Science and Technology Journal Vol. 4 No. 1 (2023): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v4i1.16337

Abstract

the population. This s tudy aims to determine how large the extent of land-us e change that occurred in the Dis trict of Palolo within 13 years (2003-2016), as well as determine the potential for lands lides in the Dis trict of Palolo due to land -us e changes that occur. The res earch location is in the Dis trict of Palolo, Sigi Regency. Res earch data included: LANDSAT 8 imagery, RBI Palolo map, DEM s lope data, rainfall, geological type, s oil type, and population dens ity. The method of data collection is done by indirect obs ervation and calculation by Geographic Information Sys tem (GIS) analys is , as well as us ing the Qua ntum GIS (QGIS) application and documentation s tudy. The method of data analys is is done us ing image interpretation analys is , s caling, coding, overlay techniques , and des criptive analys is . The res ults of the s tudy s how that land-us e changes that occurred in 2003 to 2016 covered 47,366.81 hectares of the total area of Palolo Subdis trict, which was 64,710.21 Ha or 73.2%. Areas with moderate and high levels of potential lands lide dis as ters are more prevalent in areas that experience less intens ive land-us e change (IC). The area referred to can be s een from the A2-KI-B1 land unit covering 18,013,279 ha or 38.02%, and the A3-KI- B1 land unit covering 10,491,693 ha or 22.15% of the total area that has changed ie 47,366.81 ha. This s hows that the occurrence of lands lides in the Palolo s ub-dis trict was caus ed more by the weather (high rainfall) in the Palolo s ub-dis trict.
Post-Tsunami Shoreline Changes in Parts of Palu Bay Rifdan Rifandi; Rahmawati; Iwan Alim Saputra
Tadulako Science and Technology Journal Vol. 5 No. 1 (2024): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v5i1.17180

Abstract

This research was conducted in part of Palu Bay which is included in the administrative area of Palu City. The problems in this study are: (1) How is the change of coastline in some parts of Palu Bay? (2) How much area was affected by the Tsunami in parts of Palu Bay? This study aims to: (1) To know the changes of coastline in some parts of Palu Bay. (2) Know the area affected by the Tsunami in part of Palu Bay. This type of research is quantitative descriptive research. The method used to obtain data is by using Geographic Information System (GIS) analysis with overlay techniques. The results showed that there were changes in the coastline in the form of abrasion or loss of land with a total area of 61.53 hectares and additional land (accretion) with a total area of 5.1 hectares. The total area affected by the tsunami in parts of Palu Bay amounted to 622.83 hectares. The sub-districts that experienced the largest tsunami impact were the Tawaeli district with an area of 169.96 hectares, Mantikulore sub-district with an area of 145.55 hectares, the North Palu sub-district with an area of 116.25 hectares, the Ulujadi sub-district with an area of 104.66 hectares, the West Palu sub-district with an area of 58.39 hectares, while East Palu sub-district was the smallest tsunami impacted area with an area of 28.02 hectares.