Article Per Year (5 Year)
p-Index From 2021 - 2026
2.662
P-Index
This Author published in this journals
All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Agromet Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) Jurnal Ilmu Lingkungan TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Sains & Teknologi Modifikasi Cuaca JTERA (Jurnal Teknologi Rekayasa) LIMNOTEK - Perairan Darat Tropis di Indonesia Jurnal Hidrosfir Indonesia Jurnal Sains Dirgantara JURNAL TEKNIK HIDRAULIK JURNAL SUMBER DAYA AIR Jurnal Tanah dan Iklim Jurnal Risalah Kebijakan Pertanian dan Lingkungan Jurnal Pusat Inovasi Masyarakat Aceh International Journal of Science and Technology Jurnal Pendidikan Geosfer Journal of Climate Change Society Jurnal Meteorologi dan Geofisika
Bambang Dwi Dasanto
Departemen Geofisika Dan Meteorologi, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Kampus-IPB Darmaga, Bogor 16680
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Physics Social Sciences

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 33 Documents
Search

 1   2   3   4 
Mapping research trends on tropical cyclone–induced flood susceptibility: a bibliometric and systematic review method Soenardi Soenardi; Bambang Dwi Dasanto; Yonny Koesmaryono; I Putu Santikayasa; Giarno Giarno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 4: August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i4.27614

Abstract

Climate change has intensified tropical cyclones (TC), increasing extreme rainfall and flood hazards in many regions. Flood susceptibility (FS) mapping is therefore essential for understanding flood risk. This study analyzes global research trends on TC-induced FS by integrating bibliometric analysis and a preferred reporting items for systematic reviews and meta-analyses (PRISMA)-based systematic literature review (SLR) using Google Scholar (GS) publications from 2014 to 2024. A total of 993 journal articles were analyzed, yielding an h-index of 101 and a g-index of 168, indicating strong and growing research interest. The results reveal an increasing application of machine learning (ML), deep learning (DL), remote sensing (RS), and geographic information systems (GIS) for FS mapping. Several gaps remain, including limited use of high-resolution data, underrepresentation of data-scarce and equatorial regions, restricted integration of hybrid models, and a lack of long-term assessments considering climate change and socio-economic factors. The model’s performance is also highly dependent on data quality and regional characteristics, limiting its generalizability across different conditions. The main contribution of this study is the knowledge mapping and synthesis of TC-induced FS research, providing a structured foundation for future studies and supporting evidence-based flood risk management and climate adaptation.
Determining Rainfall Thresholds of Landslide Events for Sumatra Islands Perdinan; Yon Sugiarto; Bambang Dwi Dasanto; Raynaldi Rachmat; Ayu Arista Andarini Putri
Journal of Climate Change Society Vol. 3 No. 2 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jccs/Vol3-iss2/67

Abstract

Extreme weather can trigger a number of meteorological disasters such as landslides. This disaster may cause serious losses on livelihoods and hamper the growth of economy or development targets. This research focuses on determining a threshold triggering landslide events. Rainfall is considered as one of the common factor contributing to the landslide occurrence. The rainfall intensity as the trigger for landslides can be determined using a series of statistical methods. The threshold determination is performed using statistical techniques composed of Cumulative Rainfall Threshold (CT) and sorting analysis, dummy regression, cluster analysis, and change detection method. The methods are applied to determine the thresholds for landslides occurring in Sumatra Islands for the period of 2010-2017 retrieved from the website Data Informasi Bencana Indonesia managed by Badan Nasional Penanggulangan Bencana (DIBI BNPB). We evaluated daily rainfall data for the period of 2010-2017 compiled for 10 climate stations operated by Bureau Meteorology, Climatology, and Geophysics named in Bahasa Indonesia Badan Meteorologi, Klimatologi, dan Geofisika that are accessible for the Sumatra Island. The analyses suggest that the rainfall thresholds that should be monitored for detecting the potential occurrences of landslides in the study area are 15 mm per day, 30 mm per day, dan 65 mm per day. These values can be seen as warnings at different levels with the largest value, i.e., 65 mm, indicated higher confidence for the landslide event to occur. In other words, these values represent different levels of alert for the landslide occurrence that provide inputs for designing strategies of disaster prevention to mitigate the adverse impacts of landslide disaster.
Enhanced Clutter Mitigation in Weather Radar Observations Through Comparison Between a Dual-Polarisation, Dual-Scan, and Dual-Polarisation Dual-Scan Ali Wardhana; Rizaldi Boer; Bambang Dwi Dasanto; Danang Eko Nuryanto; I Putu Santikayasa
Jurnal Meteorologi dan Geofisika Vol. 27 No. 1 (2026)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v27i1.1219

Abstract

Ground clutter remains a significant source of contamination in weather radar observations, adversely affecting the interpretation of echoes and subsequent meteorological applications. This study assesses the Dual-Polarisation Dual-Scan (DPDS) framework. This Bayesian-based classifier combines polarimetric descriptors (ρₕᵥ, ZDR) with temporal coherence (ρ₁₂) derived from consecutive azimuthal scans. The analysis uses I/Q data from an operational dual-polarisation C-band weather radar located in Sidoarjo, Surabaya, Indonesia. Results indicate that the DPDS framework significantly outperforms traditional Dual-Polarisation (DP) and Dual-Scan (DS) methods. For moving weather (W), the DPDS achieved a Probability of Detection (POD) of 0.939, a 313-fold improvement over the DP-only method, which suffered from severe polarimetric overlap between clutter and rain. While the clutter class exhibited a False Alarm Ratio (FAR) of 0.749, this is attributed to the 83-second scan interval of the Sidoarjo radar; over this duration, stable tropical rain remains highly correlated, mimicking the temporal signature of stationary ground clutter (C). However, the framework successfully preserved the integrity of the meteorological field, reducing the misclassification of zero-velocity weather (W0) compared to DS-only methods and achieving an overall accuracy of 0.982. These findings highlight the effectiveness of integrating polarimetric and temporal decorrelation information to establish a more robust, physically consistent echo classification framework, particularly under challenging conditions of clutter and low-velocity weather.
Co-Authors - Sutikno . Risyanto Akhmad Faqih Alfia Surya Rahmanda Ali Wardhana Andini, Fitri Yusti Andria Anria Antonio Alberto Apip Apip Apip, Apip Ardhasena Sopaheluwakan Ardhasena Sopaheluwakan Arnida L. Latifah Assalamia, Muqita Putrika Ayu Arista Andarini Putri Bambang Pramudya Bambang Pramudya Citra Musafirah Isni Wahid Cut Azizah Danang Eko Nuryanto Edvin Aldrian Edvin Aldrian Eka Fibriantika Ferusza, Adinda Cahaya Fitri Yusti Andini Giarno Giarno Haidir, Muhamad Ibnu Hendarti Hendarti Hidayat Pawitan Hidayat Pawitan Hidayat Pawitan Hutami Nur Saputri I Putu Santikayasa Iinuma, Rikiya Isa Teguh Widodo Isnayulia Lestari Iwan Ridwansyah Izzatiddieni, Nabila Nurul Laksono Trisnantoro Lely Qodrita Avia Lisnawati Mamenun Mamenun Masitoh, Siti Misnawati Misnawati Muh. Taufik Nita Tarigan Orita Mega Delani P. Perdinan Pramudya, Ravi Mahesa Rahmat Hidayat Raynaldi Rachmat Rias Sholihah Rini Hidayati Rizaldi Boer Rizaldi Boer RR Mashita Fauzia Hannum Santikayasa, I Putu Santikayasa, I Putu Sarif Robo Sinta Berlian Sipayung Siti Nurdhawata Soenardi Soenardi Sulistiyanti Sulistiyanti Suria Darma Tarigan Tugiyo Aminoto Unggul Handoko Unggul Handoko, Unggul Yon Sugiarto Yonny Koesmaryono Yuli Suharnoto Yunus Subagyo Swarinoto Zahra, Baitia