Analysis within 3.5 Years at University




Spatial Analysis

This is a comprehensive collection of analysis that were conducted over a period of 3.5 years as an undergraduate student. The analysis covers a wide range of topics and was accomplished by utilizing various tools and software.

The tools used in this analysis include Stata, a software package used for data management and statistical analysis, ArcGIS, a geographic information system software used for mapping and spatial analysis, spreadsheets such as Microsoft Excel, widely used for data management and analysis, and word processors such as Microsoft Word, commonly used for creating professional documents. Additionally, SketchUp, a 3D modeling software, was used to create visual representations of the analysis results. The goal of this collection is to showcase the ability to conduct spatial analysis and the proficiency in using various software and tools to analyze and present the results.

  • All Parts
  • Studio
  • General
  • Thesis

Map of earthquake disaster threat analysis in Subang Regency. One of the outputs of the physical & environmental aspect in a regional planning studio.

A map illustrating the design and layout of clean water supply systems in Cirebon city, which is one of the results of infrastructure and facilities analysis in an urban planning studio.

Rough design of housing in a site planning studio.

This analysis aims to identify the factors that are impacting the development of the city of Semarang, specifically in terms of educational facilities. The method used is the Principal Component Analysis (PCA), as there was no prior hypothesis. The process includes grouping independent variables, converting the grouped results into factors using eigenvalue indicators, creating scree plots and performing rotations, and creating scatter plots for visualization. The Stata graph indicates that out of the 1-4 components, those with eigenvalues above 1 will be considered as factors, in this case, 4 factors. Eigenvalues give an idea of how much variance is explained by each factor.

The study looked at the business of two restaurants on Jl. Sudirman in Bandung. It started with one non-competing restaurant and then added a new restaurant that was closer to the first one over time. The study found that even though the two restaurants were close to each other, they both had the potential to make profits.

An analysis of an unkempt area being repurposed as a rest area in an urban planning subject. The proposed concept is a fun and environmentally-friendly tourist area with open and creative public spaces.

One of the outcomes of the analysis in determining the correlation between the characteristics of millennial generation and housing preferences in the city of Bandung.

An analysis of the measurement of the strength of the relationship between socio-economic factors and housing indicators using Cramer's V method.

Property price index in the city of Bandung as a consideration as a supporting argument for the results of the respondent survey.

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