Dyah Rina Syafitri

Recurring and intensive flooding occurs in the western downstream area of the Citanduy River Basin (including Kalipucang, Padaherang, and Mangunjaya Districts, Pangandaran Regency) and causes massive losses. Land use Changes, fluctuating weather and climate conditions, as well as countermeasures that have not been maximized, have caused losses continuously. This study aims to describe the latest representation of flood vulnerability distribution in the study area using an integrated-mixed-method, includes: 1) AHP weighting based on expert interviews; 2) land use classification by the random forest algorithm; 3) Flood Hazard Map modeling using weighted overlay; and 4) hazard maps validation and historical flood analysis. The flood vulnerability model uses indicators: rainfall, elevation, slopes, distance from the river, and land use. Geographic Information System based on application (ArcGIS) and could (GEE) are the analytical tools in this study, supported by secondary data, such as 1) Sentinel 2A for land use models, 2) DEM for elevation and slope models, 3) buffer models for river distance and 4) CHIRPS for rainfall. The flood hazard with low and very-low levels is so minimal that it is less visible on the map. While the moderate level of flood hazard class counted as 12.6 Ha, mostly located in the eastern part of the study area (Padaherang and Kalipucang sub-districts).The high-level flood hazard class occupied about 2041.17 Ha, spread over built-up land use. The Very-high hazard class is 22652.11 Ha and mostly located in villages directly adjacent to the Citanduy River.

Malang city is supported by the informal sector, represented by 50.41% informal employees; 17.80% are street food vendors located by collector, neighborhood, local, and alongside footpaths. Those highly potential business opportunities are equipped by high-rate competitors that would be a failure factor. One of the most contributive factors of 50–60% of business failures is rough location planning without an effective solution. The purpose of this research is to analyze strategic selling locations for microbusiness and local franchises in Malang City. A quantitative approach was used to analyze numeric calculation while a geography information system (GIS) was used as the analysis method. Additionally, service area network analysis (SANA) as a GIS tool was used for counting the threshold of spatial factor. Both SANA and GIS integrate with mobile applications, which are called by LOLAKU (location = LO, or location to accelerate salability = LAKU). After analyzing the strategic location factor, these application are tested toward microbusinesses and local franchises around the study area. Respondents are involved in testing sessions after interview for microbusiness and local franchise criteria. The research showed that strategic locations for microbussiness and franchise local listed up to three rental points, there are: point 6 (112°36′44,571″ E–7°57′25,556″ S), point 9 (112°36′37,116″ E–7°57′28,496″ S), and point 21 (112°36′49,114″ E–7°57′48,281″ S). After comparing with respondents’ business criteria, point 6 is the most suitable one, which is located on alongside local roads, and traffic counted 37.8 unit/min on weekdays and 32.0 unit/min on weekends. LOLAKU received good responses from 36 respondents who took part in the criteria business determining and trial test sessions. We hope this application development will support and provide factual benefits for microbusinesses and local franchise actors in the future.