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All Journal Jurnal Pengembangan Kota Journal of Information Technology and Computer Science Indonesian Journal of Energy East Java Economic Journal Journal of Infrastructure Policy and Management (JIPM)
Afrianto, Firman
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences

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Spatial Decision Support System Model for Economic Resilience in East Java Province Afrianto, Firman; Hariyanto, Annisa Dira
East Java Economic Journal Vol. 8 No. 1 (2024)
Publisher : Kantor Perwakilan Bank Indonesia Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53572/ejavec.v8i1.118

Abstract

Economic resilience has many dimensions and aspects to consider. The complexity of studying resilience ultimately requires simplification in the form of a model that can be applied in spatial decision-making. This study aims to find a model and simulation of economic resilience policy priorities for East Java Province in the form of a Spatial Decision Support System. The calculation is done by applying the TOPSIS algorithm on the vectorMCDA plugin in a geographic information system and qualitative descriptive analysis. The results of the calculation indicate that the focus of economic resilience policy is on the aspects of recovery and transformational innovation, while the ideal resilience policy alternative is the most appropriate priority policy alternative.
EXPLORING THE RELATIONSHIP BETWEEN GREEN VIEW INDEX AND RUNNING ACTIVITY: A CASE STUDY OF YOGYAKARTA AND SINGAPORE USING STRAVA AND GOOGLE STREET VIEW DATA Afrianto, Firman; Roychansyah, Muhammad Sani; Herwangi, Yori
Jurnal Pengembangan Kota Vol 11, No 1: Juli 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpk.11.1.58-70

Abstract

The Development of Geospatial Data and Volunteered Geographic Information (VGI) has been significant and can be utilized in urban and regional planning. One of the notable data sources includes Google Street View and Strava running activity data. This research investigates the potential correlation between the presence of green spaces, measured by the Green View Index (GVI) using Google Street View data, and the level of running activity recorded by Strava, a popular running application. The novelty of this study lies in the integration of GVI analysis with Google Street View and Strava data, providing a comprehensive understanding of the relationship between green environments and physical activity by leveraging Big Data. In this research, two locations are compared: Yogyakarta, identified to have a low GVI category, and Singapore, identified to have a high GVI category. The findings reveal a moderate negative correlation between GVI and the Strava running index in Yogyakarta, while a moderate positive correlation is observed in Singapore. These results contribute to the growing research on urban vitality and emphasize the importance of integrating green spaces into urban planning and development using big data. This study serves as a foundation for further research on the relationship between green environments and various forms of physical activity, contributing to the development of healthier and more sustainable cities in the future.
Big Data Review of East Java Community Compliance Index Against the Recommendation of Stay At Home During the Covid-19 Pandemic Afrianto, Firman; Hariyanto, Annisa Dira
Journal of Information Technology and Computer Science Vol. 7 No. 2: August 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.72433

Abstract

The Covid-19 pandemic period provides a change in the framework of discovering community mobility patterns as the basis for determining policies to control the spread of the virus. Big Data then becomes one of the indicators in finding mobility patterns because, while doing their activities, the internet and social media users continuously carry out even when staying at home. The Indonesian government controls the spread by issuing the Large-Scale Social Restrictions (PSBB) policy in 2020 and the Enforcement of Restrictions on Community Activities (PPKM) in 2021 and 2022. East Java Province is confirmed to have the highest level of COVID-19 spread in Indonesia, so it requires a pattern of proper handling to control its spread. This study provides information on the compliance index to the stay-at-home recommendations during the PSBB and PPKM periods. Wherefrom the Big Data analysis and Nighttime Light satellite imagery, the highest level of compliance occurred during PPKM in February 2022. Also, in general, the compliance index of the people of East Java is increased.
Big Data and Satellite Imagery for Energy Efficiency Mapping in Indonesia: : A Future Shaped by Advanced Analytics Afrianto, Firman; Salsabillah, Andini Putri; Hariyanto, Annisa Dira
Indonesian Journal of Energy Vol. 8 No. 1 (2025): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v8i1.229

Abstract

In the sophisticated realm of big data, analyzing energy efficiency in Indonesia has become crucial for identifying savings opportunities. This study utilizes large-scale raster data, including CO2 emissions from the OCO-2 GEOS satellite, nocturnal satellite images from VIIRS, and demographic and infrastructural data from WorldPOP and EsriWorld Cover. Through advanced regression techniques in machine learning—Support Vector Regression, Artificial Neural Network, and particularly Random Forest—the research analyzes and forecasts energy efficiency across various Indonesian provinces. The analysis highlights a notable increase in CO2 emissions from 2019 to 2023, with a significant reduction in night-time light emissions in 2020 due to the pandemic, which temporarily decreased human activities. Despite these fluctuations, the continuous increase in population density and built-up areas underscores the persistent influence of urbanization on emissions. The Random Forest model, which provided the most accurate predictions, indicates an expected rise in total CO2 emissions until 2030, driven by urbanization and economic growth, followed by a decline by 2045 due to targeted governmental policies. These insights contribute significantly to understanding the distribution of energy efficiency and support the development of sustainable energy policies in Indonesia. The study not only enriches scientific literature but also guides policy-making, offering a framework for tailored energy efficiency improvements. This research marks a pivotal advancement in utilizing big data and satellite technology to optimize energy use in a context that was previously underexplored.
Illuminating Energy Efficiency: Satellite-Guided Insights for Optimizing Urban Street Lighting Across Indonesian Cities Afrianto, Firman; Graha, Dimas Tri Rendra; Pusporini, Nuryantiningsih; Setiawan, Alifianto
Indonesian Journal of Energy Vol. 8 No. 1 (2025): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v8i1.230

Abstract

This study introduces a ground-breaking method for enhancing urban energy management by integrating high-resolution night-time satellite imagery from SDGSAT-1 with detailed ground-truth verification of street lighting across major cities in Central Java and DIY. Utilizing the Glimmer Imager for Urbanization (GIU) with 10-meter resolution, this research precisely identifies different urban street lamp types and evaluates their impact on energy consumption. As the demand for public street lighting grows with urban expansion, there is a pressing need for efficient energy management to sustain urban development and reduce environmental footprints. This study focuses on Semarang, Yogyakarta, and Solo, aiming to assess energy efficiency by examining how different street lighting affects energy usage across various road network types. By employing pan sharpening techniques to enhance image resolution and zonal statistics for in-depth analysis, the research finds significant correlations, especially in the red spectral band. This correlation suggests the potential of using SDGSAT-1 data to estimate streetlight energy consumption where direct measurements are unavailable. The findings also reveal significant variations in energy consumption across different road types, attributed to varying traffic and lighting needs. By highlighting these disparities, the study underscores the potential of transitioning to LED lighting, which can reduce energy consumption by up to 69%. This research not only demonstrates the capabilities of satellite imagery in urban energy management but also offers practical insights for cities looking to improve lighting efficiency, reduce costs, and promote sustainability in urban planning.
Regional Economic Agglomeration and Trans-Sumatra Toll Road Development: A Network and Spatial Review Hariyanto, Annisa Dira; Rendra Graha, Dimas Tri; Afrianto, Firman
Journal of Infrastructure Policy and Management (JIPM) Vol. 7 No. 1 (2024): Journal of Infrastructure Policy and Management (JIPM)
Publisher : PT Penjaminan Infrastruktur Indonesia (Persero)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35166/jipm.v7i1.38

Abstract

Road and transportation networks play a crucial role in interregional connections. One of the key development programs initiated during President Jokowi’s presidency in Indonesia is aimed at improving interregional connectivity. In Sumatra, the National Strategic Project (Program Strategis Nasional/PSN) for the construction of the Trans-Sumatra Toll Road has been underway since 2014. After a decade of development, it is essential to evaluate the impact of this infrastructure on the region's agglomeration to inform future development policies. This paper reviews the changes in network structures and economic activities as influenced by the construction of the Trans-Sumatra Toll Roads. It also seeks to predict the future development of agglomeration and economic activities. The study employs regional and city planning methodologies, including space syntax, fractal dimension analysis, and cluster analysis. The findings indicate that the construction of the Trans-Sumatra Toll Road has significantly enhanced connectivity and accessibility, increased the gravitational value of the territory, and reduced the load on existing roads. Moreover, the development of toll roads has led to the growth of new economic centers, which eventually resulted in the formation of four major agglomeration regions.
Spatial Analysis of Tourism Economic Networks in East Java: A Modified Gravity Model Approach with Big Data Integration Handoko, Dwi; Hariyanto, Annisa Dira; Adityasna, Hardi; Afrianto, Firman
East Java Economic Journal Vol. 9 No. 2 (2025)
Publisher : Kantor Perwakilan Bank Indonesia Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53572/ejavec.v9i2.166

Abstract

Research on the spatial structure of tourism economic networks remains limited, whereas understanding how tourism economic components are interconnected and interact within a geographical area is crucial. This study aims to fill these limitations by analyzing the strength of interaction and the spatial structure of the tourism economic network in East Java, both now and in the future. This research employs a modified gravity model that integrates big data as a proxy for tourism economic variables. Spatial network analysis was conducted using Spatial Design Network Analysis (SDNA) with four centrality algorithms. The results showed that the main centers or hubs of the tourism economic network in East Java are Batu City, Malang Regency, and Surabaya City, based on the total number of nodes or variables. While the analysis per variable revealed differences in the main centers, indicating complexity and diversity in the interactions, connections, and clusters of the tourism economic network in East Java. Road network planning in the East Java Provincial RTRW until 2043 is predicted to have a significant impact on the connectivity, attractiveness, and accessibility of the road network, which in turn will affect tourism economic growth in East Java. However, the uneven improvement of accessibility, especially in Madura Island, is a challenge in itself. This research offers valuable insights into the spatial dynamics of the tourism economic network in East Java and its implications for regional economic development, providing policy recommendations to optimize the impact of road network planning on the tourism sector.
Co-Authors Adityasna, Hardi Dwi Handoko Graha, Dimas Tri Rendra Hariyanto, Annisa Dira Muhammad Sani Roychansyah Pusporini, Nuryantiningsih Rendra Graha, Dimas Tri Salsabillah, Andini Putri Setiawan, Alifianto Yori Herwangi, Yori