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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

github_page 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

github_page 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

github_page 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

github_page 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

github_page 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

github_page 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.