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All Journal Indonesian Journal of Geography Jurnal Riset Kimia Forum Geografi Jurnal Sains & Teknologi Modifikasi Cuaca International Journal of Disaster Management
Donaldi Sukma Permana, Donaldi Sukma
Pusat Penelitian dan Pengembangan Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) Jln. Angkasa 1 No. 2 Kemayoran, Jakarta
Humanities Chemistry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Environmental Science Social Sciences

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COMPARISON OF TOTAL SUSPENDED PARTICULATE (TSP) MEASUREMENT IN URBAN AND SUBURBAN AREAS OF BALI DURING NYEPI DAY 2015 Nuraini, Tri Astuti; Permana, Donaldi Sukma; Satyaningsih, Ratna; Anggraeni, Rian; Aldrian, Edvin
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.8670

Abstract

Nyepi or the Balinese Day of Silence (DOS) is a day when people celebrate every New Year according to the Balinese calendar (Saka). On that day, all resident activities were very restricted, with no outdoor activities. This event, which only lasted for 24 hours, is a unique period to conduct air quality measurements such as Total Suspended Particulate (TSP) for assessing the influence of human activities. This study only focuses on TSP monitoring before, during and after the DOS and its comparison with the meteorological data. TSP concentration measurements were conducted in 2 urban areas (Badung and Ubung) and a sub-urban area (Singaraja) from March 17 to March 25, 2015. The results show that TSP concentrations are negatively correlated with temperature and wind speed at each location. Hourly TSP concentrations during DOS are lower than the averaged TSP concentrations before and after DOS. During DOS, TSP concentrations decreased significantly in urban areas by 73-78% relative to regular days, which is likely due to drastically decreasing of human activities. In suburban areas, the decrease of TSP concentration was about 59%. These results show that human activities highly influence the air quality.
Analisis Kimia dan Kualitas Air Hujan di Kota Palu Sebagai Penyebab Terjadinya Hujan Asam Alfiandy, Solih; Permana, Donaldi Sukma; Nugraha, Muharam Syam; Aulia Putri, Isna Jutika
Jurnal Riset Kimia Vol 12, No 1 (2021): March
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jrk.v12i1.368

Abstract

Acidic compounds such as sulfur dioxide (SO2) and nitrogen oxides (NOx), which are generally emitted into the atmosphere by human activities from burning fossil fuels, motor vehicles and industry, react with water and oxygen to produce acidic rain that falls to the earth's surface. This study aims to investigate the quality of rainwater chemical compounds at the Mutiara Palu Meteorological Station using 282 samples derived from the BMKG Air Quality Database during February 1993 – January 2020. The method used are descriptive analysis and correlation analysis to determine the relationship between chemical compound reactions that occur in the rainwater in Palu City. The results showed that the chemical compounds in rainwater in Palu City were dominated by strong acid compounds in the form of Cl-, SO42-, and NO3- compounds with a percentage of 63% and the most dominant quality was in the acidic rain category with a pH value below 5.6, as much as 55.7%. Chemical compounds contained in rainwater in Palu City are mineral compounds that originated from natural form of minerals, particularly from sea salt. The relationship between chemical compounds contained in rainwater has varied values and is in the low to moderate category. In general, the results indicate that the quality of rainwater in Palu City is low and not recommended for health and the environment.
TREN CURAH HUJAN BERBASIS DATA SINOPTIK BMKG DAN REANALISIS MERRA-2 NASA DI PROVINSI SULAWESI TENGAH Alfiandy, Solih; Permana, Donaldi Sukma
Jurnal Sains & Teknologi Modifikasi Cuaca Vol. 21 No. 2 (2020): December 2020
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmc.v21i2.4132

Abstract

Perubahan iklim dapat mempengaruhi perubahan pola dan intensitas curah hujan. Kajian iklim di Provinsi Sulawesi Tengah sangat penting dilakukan sebagai bahan pertimbangan dalam pengambilan kebijakan di bidang pertanian dan sektor lainnya. Penelitian ini bertujuan untuk mengetahui tren perubahan total curah hujan dan kejadian hujan ekstrem di Provinsi Sulawesi Tengah berdasarkan data dari stasiun sinoptik BMKG dan model reanalisis The Modern-Era Retrospective Analysis for Research and Applications Version 2 dari The National Aeronautics and Space Administration (MERRA-2 NASA) periode 1980-2017. Hasil menunjukkan bahwa kedua data memiliki kemiripan pola musim hujan dan hubungan korelasi positif yang signifikan dengan nilai koefisien determinasi (R2) sebesar 0,59-0,78 kecuali kota Palu dengan R2 = 0,14. Hal ini menunjukkan bahwa data MERRA-2 berpotensi untuk mengisi data kosong yang terdapat pada stasiun sinoptik BMKG di masa lalu. Selain itu, kedua data menunjukkan tren peningkatan total curah hujan, tren penurunan jumlah hari hujan <5 mm/hari, dan tren peningkatan jumlah hari hujan >50 mm/hari (ekstrem) per tahun. Tren peningkatan total hujan tahunan berkisar antara 4,68-52,40 mm/tahun dengan tren tertinggi terjadi di Kabupaten Poso, sebagian Kabupaten Sigi, Tojo Una-Una, Morowali Utara dan Morowali. Sedangkan tren terendah terjadi di Kabupaten Banggai, Banggai Kepulauan dan Banggai Laut. Tren peningkatan curah hujan bulanan tertinggi terjadi pada bulan April di Poso (4,8 mm/tahun), bulan Januari di Toli-Toli (3,6 mm/tahun) dan bulan Juni di wilayah Luwuk Banggai (2,8 mm/tahun) serta Palu (4,1 mm/tahun). Informasi ini dapat digunakan sebagai bahan pertimbangan dalam kebijakan terkait adaptasi dan mitigasi perubahan iklim di Provinsi Sulawesi Tengah.
Puting beliung: Understanding Indonesia's small-scale tornadoes and the path forwardA literature review Kiki, Kiki; Koesmaryono, Yonny; Hidayat, Rahmat; Permana, Donaldi Sukma; Perdinan, Perdinan
International Journal of Disaster Management Vol 8, No 1 (2025)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v8i1.42056

Abstract

Puting beliung (PB), a tornado-like event in Indonesia, poses significant threats to communities and infrastructure, yet research on their characteristics and impacts remains limited. This study systematically reviews the progress of PB research in Indonesia through an analysis of 58 relevant studies, focusing on geographical distribution, characteristics, impacts, and mitigation efforts. Using Google Scholar as the primary search engine for scientific journal retrieval and implementing the PRISMA methodology for systematic literature review, this study ensures a comprehensive and structured analysis of existing research. Findings indicate that PB events predominantly occur in Java, with notably fewer documented cases in eastern Indonesia. These events are influenced by atmospheric conditions and spatiotemporal patterns, with psychological and structural impacts on affected communities. Existing mitigation strategies, including early warning systems, show promise but face challenges in public engagement and coordination, particularly in post-disaster recovery phases. The review highlights the need for integrating advanced technologies such as remote sensing and machine learning to improve prediction accuracy and develop a comprehensive PB event database. By synthesizing existing research, this study identifies and underscores the necessity for more extensive investigations, particularly under-research regions. Future research should prioritize improving forecasting models, expanding the geographical scope of studies, and enhancing disaster management strategies to minimize PB-related risks. Strengthening public awareness and response mechanisms is crucial to reducing vulnerabilities and improving resilience.
Spatiotemporal Characteristics and Trend of Puting Beliung Across the Indonesian Archipelago Kiki, Kiki; Koesmaryono, Yonny; Hidayat, Rahmat; Perdinan, Perdinan; Permana, Donaldi Sukma
Indonesian Journal of Geography Vol 57, No 2 (2025): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.103901

Abstract

Puting beliung (PB), or small-scale tornado, is a significant and under-researched extreme weather phenomenon in Indonesia, often causing severe damage to infrastructure and posing risks to public safety despite their brief localized nature. Therefore, this research aimed to examine spatial and temporal patterns and trends of PB events across Indonesia from 2011 to 2024, applying statistical analysis, geospatial mapping, and the Mann-Kendall trend test to a database of 2,434 PB events. The results showed that PB events primarily cluster in western and central regions, specifically on Java Island, and the highest frequencies were observed in East Java, West Java, and Central Java. These events typically occur in low-lying zones (0–500 meters above sea level), affecting agricultural and residential land in flat terrain. Temporally, most PB arises in the afternoon (1:00–3:00 pm local time), with peak frequencies in January, March, and November, coinciding with Indonesian monsoonal and transitional seasons. A trend analysis shows a statistically significant nationwide yearly increase of approximately 12 PB events, with 8 provinces exhibiting notable upward patterns. When compared to other PB-prone nations, Indonesia records a higher annual PB frequency than Japan, Australia, and Bangladesh, but remains well below the United States. The novelty of this research lies in its long-term, nationwide dataset and thorough spatiotemporal assessment, providing the first comprehensive examination of PB trends at national and provincial scales in Indonesia. These results provide crucial insights for disaster risk mapping, mitigation strategies, and early warning systems.
Co-Authors Alfiandy, Solih Anggraeni, Rian Aulia Putri, Isna Jutika Edvin Aldrian Kiki, Kiki Nugraha, Muharam Syam nuraini, tri astuti P. Perdinan Rahmat Hidayat Satyaningsih, Ratna Yonny Koesmaryono