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All Journal Agromet Al-Jabar : Jurnal Pendidikan Matematika JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Ilmu Fisika InPrime: Indonesian Journal Of Pure And Applied Mathematics Megasains Enrichment: Journal of Multidisciplinary Research and Development Jurnal Meteorologi dan Geofisika Jurnal Geosaintek Geoid - Journal of Geodesy and Geomatics
Sopaheluwakan, Ardhasena
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Agriculture, Biological Sciences & Forestry Humanities Astronomy Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Materials Science & Nanotechnology Mathematics Physics Social Sciences

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Comparative Analysis Of Landsat 8 And Landsat 9 Satellite Image Data In Surface Temperature Estimation, NDVI and NDBI Using Goggle Earth Engine Purwoko, Dana; Handoko, Eko Yuli; Sopaheluwakan, Ardhasena
Geoid Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.8016

Abstract

The rapid urbanization in major cities like Jakarta significantly alters land cover, which in turn impacts environmental thermal conditions and ecological quality. This research aims to analyze the spatial and temporal dynamics of Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Built-up Index (NDBI) in DKI Jakarta during the 2023–2024 period using combined data from the Landsat 8 and 9 satellites. Cross-validation analysis shows a very high level of consistency between the sensors, validating the use of combined data for multi-temporal studies. Analysis methods include land cover classification, linear regression analysis, and temporal change analysis. The results indicate a clear Urban Heat Island (UHI) phenomenon, characterized by a strong positive correlation between LST and NDBI (R > 0.67) and a negative correlation between LST and NDVI (R ≈ -0.5). Temporal analysis indicates that thermal conditions in 2024 were generally lower than in 2023, and localized dynamics of land cover change were also identified. These findings affirm the fundamental relationship between land cover composition and the urban microclimate, and underscore the importance of vegetation in mitigating high temperatures in urban environment.
Evolving Customized Service Models and the Role of Dynamic Capabilities in Global National Meteorological Services: A Systematic Literature Review Fitriany, Anni Arumsari; Kusumastuti, Retno; Ikasari, Novita; Sopaheluwakan, Ardhasena
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 11 (2026): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i11.613

Abstract

National Meteorological Services (NMSs) are increasingly moving beyond their traditional role as publicly funded providers of weather and climate information to deliver customized meteorological services tailored to specific sectors and users. This shift is driven by rising demand for sector-specific climate information, fiscal pressures on public funding, technological advancements, and the growing presence of private weather service providers. This study conducts a systematic literature review to examine how NMSs are evolving their service business models and to analyze the role of dynamic capabilities—specifically sensing, seizing, and transforming—in enabling these organizations to adapt effectively. Following the PRISMA 2020 guidelines, relevant studies published between 2015 and 2025 were identified through Scopus and Google Scholar and analyzed using bibliometric techniques and integrative qualitative synthesis. In addition, a comparative content analysis of official NMS websites across developed, developing, and least developed countries was undertaken to capture real-world service delivery models. The findings reveal that while most NMSs continue to prioritize public service mandates, a growing number are adopting hybrid business models—such as cost-recovery schemes, public–private partnerships, and state-owned enterprise structures—to support customized services. The literature further indicates that dynamic capabilities play a critical role in this transition by enabling NMSs to identify emerging user needs, mobilize organizational and technological resources, and reconfigure service delivery arrangements under regulatory constraints. However, empirical research explicitly linking dynamic capabilities to business model adaptation in NMSs remains limited. This review contributes by synthesizing fragmented insights across public sector, digital government, and service innovation literature, and by highlighting key gaps for future research on strategic transformation in public meteorological institutions.
Co-Authors Adi Mulsandi Ahmad Luthfi Akhmad Faqih Aldila Syariz, Muhammad Anggraeni, Rian Ardiyani, Evi Asep Firman Ilahi, Asep Firman Badri, Imelda Ummiyatul Eko Yuli Handoko Fajariana, Yuaning Fitriany, Anni Arumsari Ikasari, Novita Kurniawan, Andang Marjuki Marjuki Muhammad, Aldila Syariz Najib, Mohamad Khoirun Nuryanto, Danang Eko Pratama, Yoga Abdi Purwoko, Dana Radyan Putra Pradana, Radyan Putra Rahmat Hidayat Retno Kusumastuti Rohimahastuti, Fadillah Santikayasa, I Putu Sri Nurdiati Utomo, Joko Budi Yonny Koesmaryono Yuli Handoko, Eko