The portfolio includes various outcomes from spatial data processing projects undertaken over time. The maps displayed are curated from a range of activities, including academic assignments and professional work experiences. This collection highlights the breadth of skills and techniques applied in each project.
For those interested, the PDF version can be downloaded here.
Interactive Web Map
This project uses HTML, JavaScript, and the Leaflet library to create an interactive web map. GeoJSON is used to store building data, which is dynamically loaded and visualized. Users can adjust the map center and see buildings color-coded based on distance, with base maps provided by OpenStreetMap, Google, and CartoDB. Read More
Interactive 3d Population Map
The interactive population map was created using deck.gl through R-Studio. The data used is the 2023 population contour data, which is publicly accessible. Read More
Interactive Web GIS for Route Navigation
The navigation map system was developed using HTML, CSS, and JavaScript with Leaflet.js, enabling users to create and visualize optimal routes. The system includes interactive route mapping, allowing users to add multiple waypoints, draggable markers for adjusting locations dynamically, and a fixed-size direction legend with a scrollbar for improved readability. Additional refinements were made to enhance functionality, including features for adding, removing, and modifying waypoints. Read More
Simple IndoGuessr: Guess the City from Satellite Images
The “Simple IndoGuessr” project uses HTML, CSS, JavaScript, and Leaflet.js to create a city-guessing game based on satellite images. It features random city selection, scoring, accuracy tracking, and fixed zoom levels, offering an interactive way to explore Indonesian geography. Read More
Isochrone WebGIS: Travel Distance Visualized
This WebGIS visualizes travel reach using the Mapbox Isochrone API. Users select a transport mode and time, generating dynamic travel zones on a Leaflet map. Built with HTML, CSS, and JavaScript, it supports mobility analysis, accessibility studies, and travel planning. Read More
Biomass - Vegetation Indices using Python
The NDVI analysis was conducted using Google Earth Engine (GEE) and Python, processing Sentinel-2 imagery while addressing authentication and deprecation issues. The results were exported in formats such as GeoJSON or raster for further visualization and interpretation.
Detail Spatial Plan Map ( RDTR-Rencana Detail Tata Ruang)
The RDTR (Detail Spatial Plan Map) is prepared through spatial analysis based on RDTR preparation guidelines and collaboration with various parties such as the government and community representatives.
1936 Topographic Map
The 1936 Topographic Map, originally a 1963 US AMS map for the Muntilan area, has been enhanced with a hillshade overlay derived from a section of DEMNAS data 1408_2. This modification was carried out using ArcGIS Pro software.
2024 Indonesia General Election Infographics
The infographic showcases a choropleth map illustrating the distribution of winning political parties across Indonesia’s electoral districts. It includes the total vote counts (in millions) and the number of legislative representatives in parliament, represented by dots for each member. The information is derived from official data provided by KPU Indonesia and Kompas. This infographic was produced using QGIS and Inkscape software.
Karst Flood Inundation Model
The compilation was done using modeling results derived from Lidar point cloud data. This data was then analyzed and used to model the rise and spread of floodwaters in a specific area. The animation provides a visual representation of the floodwater levels based on the processed Lidar data simulation results.
The distribution map of new middle school students in Kutoarjo, Indonesia.
The map was prepared to take part in the 2022 GISCI Map Competiton map competition. The map shows the distribution of houses for students accepted into the State Middle School PPDB program in Purworejo Regency in 2021 at 4 State Middle Schools in Kutoarjo. Data taken from the Purworejo Regency PPDB Website. Data is presented in several forms of presentation, making it easier to read the data.