Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Nugroho Purwono"'
Publikováno v:
Geography, Environment, Sustainability, Vol 17, Iss 2, Pp 63-77 (2024)
The urban area is a spatial system that significantly impacts residents’ health risks. Despite the fact that urban areas house only 55% of the global population, they account for 95% of COVID-19 cases, highlighting the urgent need to understand the
Externí odkaz:
https://doaj.org/article/0b946a575ab5415bbaca7c320ebd7b18
Autor:
Nugroho Purwono, Danang Budi Susetyo, Seftiawan Samsu Rijal, Gina Koedatu Syaripah, Siti Munawaroh
Publikováno v:
Zbornik Radova: Geografski institut "Jovan Cvijić", Vol 74, Iss 1 (2024)
Urbanization in Indonesia's cities is increasing, leading to various impacts, including negative consequences due to insufficient investment in local public infrastructure. Urbanization assessment primarily relies on examining changes in built-up are
Externí odkaz:
https://doaj.org/article/d3edd9158bcb4eb39cf49b774c0279ad
Autor:
Florence Elfriede Sinthauli Silalahi, Fahrul Hidayat, Ratna Sari Dewi, Nugroho Purwono, Nadya Oktaviani
Publikováno v:
BMC Health Services Research, Vol 20, Iss 1, Pp 1-20 (2020)
Abstract Background The outbreak of the novel coronavirus (COVID-19) has rapidly spread, causing million confirmed cases, thousands of deaths, and economic losses. The number of cases of COVID-19 in Jakarta is the largest in Indonesia. Furthermore, J
Externí odkaz:
https://doaj.org/article/6fe03b10925e418883f6edbd96550d8b
Autor:
Nugroho Purwono, Arif Aprianto
Publikováno v:
Geoplanning: Journal of Geomatics and Planning, Vol 5, Iss 2, Pp 237-250 (2018)
This research to analyse the pattern of rice field productivity that is identified through landscape perspective. Identification of productivity pattern has been done partially based on each typology of land components into several segment of the Cit
Externí odkaz:
https://doaj.org/article/f40b04ad25d9469996f92a963cb6bacc
Autor:
Nugroho Purwono, Agung Syetiawan
Publikováno v:
Geoplanning: Journal of Geomatics and Planning, Vol 5, Iss 1, Pp 115-130 (2018)
Application of Unmanned Aerial Vehicles (UAV) for images acquisiton has been widely applied in survey and mapping. One of non-metric camera as the sensor that can be mounted on the UAV is fish-eye lenses. Fish-eye lenses camera provides images with w
Externí odkaz:
https://doaj.org/article/c9d2d203b3584174b3ebd73b55bf28ba
Publikováno v:
2022 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS).
A Simple But Effective Approach of Building Footprint Extraction in Topographic Mapping Acceleration
Autor:
Fahrul Hidayat, Mochamad Irwan Hariyono, Nugroho Purwono, Aldino Rizaldy, Danang Budi Susetyo, Rizka Windiastuti, Tia Rizka N. Rachma, Prayudha Hartanto
Publikováno v:
Indonesian Journal on Geoscience. 8
Topographic mapping using stereo plotting is not effective, because it takes much time and labour-intensive. Thus, this research was conducted to find the effective way to extract building footprint for mapping acceleration from LiDAR data. Building
Autor:
Ratna Sari Dewi, Nadya Oktaviani, Florence Elfriede S. Silalahi, Fahrul Hidayat, Nugroho Purwono
Publikováno v:
BMC Health Services Research
BMC Health Services Research, Vol 20, Iss 1, Pp 1-20 (2020)
BMC Health Services Research, Vol 20, Iss 1, Pp 1-20 (2020)
Background The outbreak of the novel coronavirus (COVID-19) has rapidly spread, causing million confirmed cases, thousands of deaths, and economic losses. The number of cases of COVID-19 in Jakarta is the largest in Indonesia. Furthermore, Jakarta is
Autor:
Fahrul Hidayat, Rizka Windiastuti, Tia Rizka N. Rachma, Aldino Rizaldy, Nugroho Purwono, Danang Budi Susetyo, M. Irwan Hariyono, Prayudha Hartanto
Topographic mapping using stereo plotting is not effective because it takes much time and labor-intensive. Thus, this research was conducted to find the effective way to extract building footprint for mapping acceleration. Building extraction method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d87cec08c71d7bf840b1a05f49feba
https://doi.org/10.20944/preprints202002.0042.v1
https://doi.org/10.20944/preprints202002.0042.v1
Autor:
Prayudha Hartanto, Mochamad Irwan Hariyono, Nugroho Purwono, Danang Budi Susetyo, Fahrul Hidayat
Publikováno v:
Seminar Nasional Geomatika. :923
Teknologi kecerdasan buatan adalah sebuah inovasi mutakhir yang mengandalkan peran komputer untuk mengenali dan memprediksi berbagai objek yang menjadi perhatian, dalam hal ini adalah fitur bangunan pada peta Rupabumi Indonesia (RBI) skala besar. Tek