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Seminar Review: The Provision of and (Just) Access to Housing: Insights from Malaysia and Indonesia
Published:
Housing has been an undeniable primary aspect of human life. Without a proper shelter, a person cannot fulfill his/her basic need in life. This need has given more pressure when we know that there is only a limited amount of land that can be utilized for it. On other side, the competition to obtain a proper housing is getting more intense overtime due to urbanization (more people are coming to urban area to settle in). That is the exact reason why the price for this resource is skyrocketed to the point of no return.
Seminar Review: The Provision of and (Just) Access to Housing: Insights from Malaysia and Indonesia
Published:
Housing has been an undeniable primary aspect of human life. Without a proper shelter, a person cannot fulfill his/her basic need in life. This need has given more pressure when we know that there is only a limited amount of land that can be utilized for it. On other side, the competition to obtain a proper housing is getting more intense overtime due to urbanization (more people are coming to urban area to settle in). That is the exact reason why the price for this resource is skyrocketed to the point of no return.
How can We Predict the Crop Yield in a Certain Area? The Answer Lies in the Google Earth Engine
Published:
After learning about Google Earth Engine (GEE) from CASA0025: Building Spatial Applications with Big Data in 2024 from CASA, I was impressed by the vast potential of this tool. Not only does it provide access to extensive planetary data, but it also includes essential tools for in-depth analysis and prediction, which can be dynamically visualized and presented through its spatial application. It’s a truly full-stack process!
How can We Predict the Crop Yield in a Certain Area? The Answer Lies in the Google Earth Engine
Published:
After learning about Google Earth Engine (GEE) from CASA0025: Building Spatial Applications with Big Data in 2024 from CASA, I was impressed by the vast potential of this tool. Not only does it provide access to extensive planetary data, but it also includes essential tools for in-depth analysis and prediction, which can be dynamically visualized and presented through its spatial application. It’s a truly full-stack process!
Is It Wise to Use Trivariate Map for Accommodating Three Information into one Visualization?
Published:
I was wondering if I could add one more variable to my previous bivariate map, and here they are: triangulating 1) Population Density (represented by point size); 2) Kilometers traveled per year by people who travel to work by Car or Van (gold color); and 3) Total carbon footprint per person in kgCO2e (blue color) into a trivariate map!
Unveiling the Dance between Population Density and Carbon Footprint Levels using Bivariate Map
Published:
During my investigation of carbon footprint data for a personal research project, I became intrigued by its correlation with population proportions. To explore this connection, I initiated the process by plotting both variables (carbon footprint vs population density) on bivariate maps.
Milos Popovic’s Way in Visualizing 3D Maps
Published:
Inspired by Milos Popovic’s tutorial, I attempted to create a 3D visualization of the average Airbnb rental prices per night per 1 km2 in London in 2023. Interestingly, high prices seem to be located in the outskirts of London, contrary to the distribution of Airbnb locations in the city center.
Monitoring Airbnb Dynamics? It Can Be Done with the Inside Airbnb Dataset!
Published:
In certain cases, significant movements such as startup development can create disruptions. This has happened with Airbnb, where in some areas, the development of Airbnb-oriented properties has triggered externalities such as the increase in permanent housing prices and gentrification. Due to this issue, the growth of Airbnb should be appropriately monitored. That is what ‘Inside Airbnb’ has been doing for years. Inside Airbnb publishes a large dataset about the location of Airbnb properties along with their characteristics for FREE!
portfolio
publications
Studi Pemanfaatan Big Data dalam Perumusan Kebijakan Publik pada Sektor Kesehatan
Published in SPECTA Journal of Technology 5(3):308-322, 2021
Sektor kesehatan Indonesia pada saat ini menghadapi kondisi triple burden yang memerlukan respons dalam bentuk kebijakan yang didasarkan pada bukti-bukti ilmiah yang dapat dipertanggungjawabkan. Oleh karena itu, adanya perkembangan teknologi yang menghadirkan big data dapat menjadi peluang pada sektor kesehatan untuk menghasilkan kebijakan yang efektif, dan efisien. Terlebih pada saat ini, penggunaan big data masih didominasi oleh sektor swasta. Maka dari itu, penelitian ini bertujuan untuk mengidentifikasi pemanfaatan big data dalam perumusan kebijakan publik pada sektor kesehatan.
Recommended citation: Hakim, D.N., Ramadan, F. and Cahyono, Y.I. (2021). "Studi Pemanfaatan Big Data dalam Perumusan Kebijakan Publik pada Sektor Kesehatan.", SPECTA Journal of Technology, 5(3), pp. 308–322. Available at: https://doi.org/10.35718/specta.v5i3.379
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Study Case of Smart City: The Usage of Digital Twin in Transportation System
Published in 2022 International Conference on Information Technology Systems and Innovation (ICITSI), 2022
The Emerge of Digital Twin (DT) makes many changes to the life quality improvement, one of it is in how to manage the transportation systems. With DT, the current transportation systems have a great probability to become smarter. This research has a purpose to describe a variation of DT usage in transportation system. To achieve the targeted result, this research is using qualitative approach with code and network methods.
Recommended citation: Sutani et al. (2022). "Study Case of Smart City: The Usage of Digital Twin in Transportation System." In 2022 International Conference on Information Technology Systems and Innovation (ICITSI). 2022 International Conference on Information Technology Systems and Innovation (ICITSI), Bandung, Indonesia: IEEE, pp. 113–117. Available at: https://doi.org/10.1109/ICITSI56531.2022.9970922.
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Spatial Vulnerability Assessment of Climate-related Disasters in the Rebana Metropolitan Coastal Area, West Java Province
Published in IOP Conference Series: Earth and Environmental Science, 2024
Human activities have become the main significant factor of the occurrence of climate change. Because of this phenomenon, the negative impacts of climate change influence human life itself, especially for the people who live in coastal area. One part of the Rebana Metropolitan Area in West Java Province is the coastal area consisting of Indramayu, Subang, and Cirebon regencies, which is closely related to climate-related disasters issues, such as coastal flooding and sea-level rise. To adapt the negative impacts of climate change, the local decision-makers should know the vulnerability to climate-related disasters. Therefore, the vulnerability assessment of climate-related disasters should be conducted.
Recommended citation: Salim, W. et al. (2024). "Spatial vulnerability assessment of climate-related disasters in the Rebana Metropolitan Coastal Area, West Java Province." IOP Conference Series: Earth and Environmental Science, 1318(1), p. 012008. Available at: https://doi.org/10.1088/1755-1315/1318/1/012008.
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talks
teaching
POINT 001: Foundation of Spatial Data Science
Online Course, Plaform for Optimizing Urban Intelligence, 2024
This module provides a comprehensive introduction to the principles and practices of spatial data science and geographic information systems. We will learn to leverage fundamental tools such as python and R effectively to collect, process, analysis, and visualize spatial data.
POINT 002: Spatial Database Management Systems
Online Course, Plaform for Optimizing Urban Intelligence, 2024
This module delves into the specialized management of spatial data within database systems. Students will explore the design, implementation, and optimization of spatial databases, learning to handle complex queries and large-scale geospatial datasets using Structured Query Language (SQL).
POINT 003: Introduction to Quantitative Methods
Online Course, Plaform for Optimizing Urban Intelligence, 2024
This module offers a foundational overview of statistical techniques and quantitative analysis used in various fields. Students will learn key concepts such as probability, hypothesis testing, association, and data visualization, applying these methods to interpret and analyze data.
POINT 004: Machine Learning for Spatial Systems
Online Course, Plaform for Optimizing Urban Intelligence, 2024
It introduces us to the application of machine learning techniques in the analysis of spatial data. We will explore algorithms and models tailored for spatial systems, such as land cover classification, spatial pattern recognition, and predictive modeling using geospatial datasets.
POINT 009: Remote Sensing with Google Earth Engine
Online Course, Plaform for Optimizing Urban Intelligence, 2024
This module provides an in-depth exploration of remote sensing technologies and their applications using Google Earth Engine. Students will learn to process and analyze satellite imagery, extract meaningful information, and monitor environmental changes over time in the planetary scale platform.
POINT 011: Spatial Data Presentation and Portfolio
Online Course, Plaform for Optimizing Urban Intelligence, 2024
The module teaches us how to create compelling presentations and professional portfolios showcasing our spatial data projects. Participants will learn to use Xaringan for dynamic, interactive slide decks and GitHub Pages for hosting and sharing our work online.