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All Journal Indonesian Journal of Geography Komunikasi Fisika Indonesia Sinergi Journal of Applied Geospatial Information JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY MAJALAH ILMIAH GLOBE Jurnal Geografi, Edukasi dan Lingkungan Media Mahardhika Jurnal Kreativitas PKM International Journal of Remote Sensing and Earth Sciences (IJReSES) Indonesian Physical Review DIFFRACTION: Journal for Physics Education and Applied Physics Jurnal Teras Fisika : Teori, Modeling, dan Aplikasi Fisika Jurnal Penelitian Fisika dan Terapannya (JUPITER) Journal of Computer Science and Engineering (JCSE) Jurnal Ilmiah Matematika Mitra Akademia: Jurnal Pengabdian Masyarakat Indexia Jurnal Energi Baru dan Terbarukan Jurnal Aplikasi Bisnis Kesatuan GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Jurnal Kolaboratif Sains Jurnal Riset Statistika Newton-Maxwell Journal of Physics Jagratara: Journal of Disaster Research The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Yahya Darmawan
Indonesian Agency For Meteorological, Climatological And Geophys-ics (BMKG) Region I
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Analisis kondisi dinamika atmosfer berdasarkan citra satelit, model reanalisis dan data observasi (studi kasus hujan es di Depok pada 10 Januari 2023) Amanu, Rendy Syahril; Darmawan, Yahya
Jurnal Teras Fisika: Teori, Modeling, dan Aplikasi Fisika Vol 8 No 1 (2025): Jurnal Teras Fisika: Teori, Modeling, dan Aplikasi Fisika
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jtf.2025.8.1.14822

Abstract

Hujan es adalah fenomena cuaca ekstrem dari sistem konvektif seperti awan cumulonimbus (Cb) yang jarang terjadi tetapi berdampak signifikan pada infrastruktur, pertanian, dan keselamatan. Penelitian ini menganalisis dinamika atmosfer yang mempengaruhi hujan es di Depok pada 10 Januari 2023 pukul 08.40 UTC menggunakan data satelit Himawari-9, model ERA-5, dan sounding udara atas. Data Himawari-9 dianalisis dengan perangkat lunak SATAID melalui interpretasi saluran IR dan metode RGB Day Convective Storms serta 24-hour Microphysics. Data ERA-5 menghasilkan grafik timeseries variabel atmosfer, sementara data sounding divisualisasikan dengan diagram Skew-T log-P dan indeks labilitas atmosfer. Analisis menunjukkan siklus hidup awan cumulonimbus dengan suhu puncak di bawah -60°C. Parameter divergensi mengindikasikan adanya konvergensi signifikan di lapisan bawah, divergensi di lapisan atas, serta kelembaban tinggi di lapisan menengah dan atas, yang mendukung pembentukan kristal es. Indeks labilitas atmosfer seperti TT, KI, SWEAT, CAPE, LI, dan Showalter Index menunjukkan ketidakstabilan atmosfer dan energi konvektif.
Evaluation of the Arima-Kalman model in predicting rainfall in Medan City in 2023 using observation data from 2013 – 2022 Lumbantoruan, Alva Josia; Darmawan, Yahya; Munawar, Munawar; Nardi, Nardi; Arifianto, Fendy; Ferdiansyah, Ervan
Indonesian Physics Communication Vol 22, No 1 (2025)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.22.1.15-22

Abstract

This paper aims to evaluate the ARIMA-Kalman model in predicting rainfall in Medan City for the year 2023. The data used are historical observation data of rainfall from 2013 to 2022 that have been tested for stationary and homogeneity, which proved not to require additional correction. The analysis results show that the ARIMA-Kalman model can capture the general pattern of rainfall well, and shows superiority in producing predictions that are closer to the actual data, with a mean absolute error (MAE) value of 54.11, which is lower than the MAE of the ARIMA model which reaches 55.66. Although the ARIMA model has a smaller root mean square error (RMSE) (66.67 compared to 69.75 for ARIMA-Kalman), the ARIMA-Kalman model shows better consistency, especially in capturing significant fluctuations, such as the peak rainfall that occurred in July 2023. Therefore, ARIMA-Kalman is proven to be more accurate and reliable for predicting rainfall in Medan city, making it a better choice to support water resources planning and management.
Empirical orthogonal functions (EOF) analysis of spatial patterns of dominant variability in the Indian Ocean Manik, Willy Bonanja; Darmawan, Yahya; Munawar, Munawar; Nardi, Nardi; Arifianto, Fendy; Ferdiansyah, Ervan
Indonesian Physics Communication Vol 22, No 1 (2025)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.22.1.23-26

Abstract

The Indian Ocean plays a crucial role in the global climate system, particularly in influencing the seasons in Indonesia. Sea surface temperature (SST) variability in the Indian Ocean affects rainfall patterns, extreme events, such as droughts and floods, in Indonesia. This study analyzes SST variability during the dry season (June – July – August, JJA) and rainy season (December – January – February, DJF) using satellite and reanalysis data from 1981 to 2023 with the empirical orthogonal function (EOF) method. The analysis shows that the dominant SST variability pattern during JJA is related to the Indian Ocean dipole (IOD), which influences rainfall and temperature patterns in Indonesia. In DJF, SST variability is more associated with the Asian-Australian monsoon, affecting rainfall patterns and the potential for floods. This research enhances the understanding of climate dynamics in the Indian Ocean and its impact on Indonesia, and it can be used to predict extreme climate events associated with SST variability.
Interpretasi Fase Awan dengan Metode CCO Dan RGB pada Data Satelit Himawari-9 di DKI Jakarta (Studi Kasus: 1 Januari 2023) Giananti, Attiya Shakila; Darmawan, Yahya; Mulya, Aditya
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 5 No. 1 (2024): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v5i1.8022

Abstract

Indonesia is the largest archipelagic country in the world so it receives large amounts of energy from solar radiation which makes it the most active convective region in the world. In December and January, DKI Jakarta tends to experience the rainy season. On January 1 2023, BMKG gave an early warning that it would rain in Jakarta. Reporting from several news reports, in the new year 2023, Jakarta was hit by heavy rain. Cloud phase analysis is needed to determine the potential for rain. This research identifies cloud phases using Himawari-9 satellite image data which is then processed using the Cloud Convective Overlays (CCO) method and the Red Green Blue (RGB) method. The CCO method can identify the distribution of cumulonimbus clouds and the RGB method can determine the flow of air masses, the type of air mass (Airmass), identify cloud phase, and the presence of high clouds containing ice (Day Convective Storm, Day Natural Color, and Cloud Phase Distinction ). The data used are bands 3 (0.6 µm), 5 (1.6 µm), 7 (3.7 µm), 8 (6.2 µm), 10 (7.3 µm), 12 (9.6 µm), 13 (10 .4 µm), and 15 (12.4 µm) at 7.00, 8.00, 9.00, 10.00, 11.00, 12.00, 13.00, and 14.00 WIB (GMT+7). The data was processed and visualized using Grid Analysis and Display System (GrADS) and GMSLPD SATAID software.
Analisis Kondisi Atmosfer pada Kejadian Hujan ES di Kota Palembang 04 November 2023 Al Badri, Abdul Aziz; Darmawan, Yahya
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 5 No. 1 (2024): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v5i1.8469

Abstract

Seasonal transitions in Indonesia are typically accompanied by extreme weather phenomena, such as hail that occurred in the city of Palembang on November 4, 2023. The analysis of atmospheric conditions is intended to understand the dynamics of the atmosphere during the occurrence of the hailstorm phenomenon. The data used in this study include satellite imagery from Himawari-9 channels 8, 11, 13, 15, GSM data, ECMWF modelling data, and SST anomaly data. The research results indicate that anomalies in sea surface temperature and vertical convergence profiles, as well as relative humidity (RH), strengthen the potential for convective activity leading to extreme weather conditions. Based on Himawari-9 satellite imagery, the time series graph shows the lowest peak cloud temperature at around -80°C, with the Atmospheric Stability Index based on the GSM method indicating a labile atmospheric condition. Furthermore, using the RGB 24 Hour Microphysics and CCO methods, Cumulonimbus clouds were observed to begin growing at 07:20 UTC, entering the mature stage at 09:20 UTC, and starting to decay at 10:20 UTC.
ANALYSIS OF ATMOSPHERIC DYNAMICS DURING TAILWIND PHENOMENA ON THE RUNWAY OF KUALANAMU AIRPORT Tambunan, Nensy Nindy; Frida, Erna; Darmawan, Yahya
Indonesian Physical Review Vol. 6 No. 3 (2023)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v6i3.242

Abstract

A tailwind, a wind component in aviation, can pose risks during aircraft takeoff and landing by blowing from the aircraft's rear. At Kualanamu Airport on August 02, 2022, Air Navigation Indonesia (AirNav) reported an incident where an aircraft had to abort landing due to a tailwind on the runway. This study analyzes the atmospheric dynamics contributing to tailwind disruptions on that specific day. The analysis involved various steps, including assessing upper-level air humidity using reanalysis data processed with the GrADS application, evaluating air instability through the computation of TT, KI, and SI indexes using the RaOB application, and examining cloud formation using Himawari-9 EH satellite imagery. The analysis revealed the presence of Cumulonimbus clouds around Deli Serdang Regency on August 02, 2022, which led to tailwind effects at Kualanamu Airport. Cumulonimbus clouds are often associated with unstable atmospheric conditions and can generate severe weather events like thunderstorms, heavy rainfall, and strong winds. Cumulonimbus clouds indicate the likelihood of convective activity and strong winds. The strong winds caused by these clouds probably disrupted the Tailwind on the runway at Kualanamu Airport.
Identifikasi Kondisi Atmosfer Kejadian Hujan Lebat Jakarta Selatan Berbasis Data Observasi, Satelit, dan Model ERA-5 (Studi Kasus 11 November 2024) Oktabrian, Krisna Dwi; Darmawan, Yahya; Rahma, Nuzula Elfa; Franchitika, Rizky
Newton-Maxwell Journal of Physics Vol. 6 No. 2: Oktober 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v6i2.40942

Abstract

On November 11, 2024, a heavy rainfall event with a recorded precipitation of 94.6 mm occurred in South Jakarta, leading to flooding in the area. This study aims to analyze the atmospheric factors that contributed to the event and emphasize the importance of integrating satellite data, numerical models, and observational data in understanding extreme weather phenomena. The data used in this study include ERA-5 reanalysis data from ECMWF, satellite imagery from Himawari-9, and observations from automatic rain gauges (ARG). The analysis results indicate that the heavy rainfall was influenced by several key factors, including significant moisture transport from the Indian Ocean, strong low-level convergence, and unstable atmospheric conditions. The convective available potential energy (CAPE) value approached 900 J/kg, and the relative humidity reached 90%, both supporting the development of deep convective clouds. These findings highlight the importance of integrating data from various sources in diagnosing and understanding the mechanisms behind extreme rainfall events in tropical urban regions.
Analysis of Strong Wind Characteristics Using Doppler Weather Radar over Kualanamu Airport Indonesia Manurung, Ellya Veronika Iriani; Humaidi, Syahrul; Darmawan, Yahya
Journal of Applied Geospatial Information Vol. 8 No. 1 (2024): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v8i1.7592

Abstract

Strong wind is one of the weather phenomena that can be dangerous for aviation safety. According to observation data from the Kualanamu Meteorological Station, there were 61 strong winds with speeds greater than or equal to 15 knots in 2020, which indicates a high risk of strong wind over this area. This research aims to analyze the characteristics of strong winds in the Kualanamu airport area using weather Doppler radar. The data used consisted of nine cases of the strongest winds for each month in 2020. We have tested analysis methods of radar products such as VVP, CAPPI V, and PPI on nine sample dates to determine the duration, intensity, and direction of wind speed. Additionally, we used the radar's echo pattern to identify the potential impact of cumulonimbus clouds (Cb), which trigger strong winds. Three out of nine study cases, identified as the three most significant strong winds during 2020, have been subjected to echo pattern analysis. The results showed that the strong winds occur for 40 to 70 minutes, but they mostly have a duration of about 50 minutes. Overall, strong winds occurred during the night and early morning. The radar echo typically has a range between 18 and 43 dBZ. Echo patterns generally revealed a group that extended in the shape of a squall line that moved from west to east and reversed.
Peningkatan Kapasitas Perangkat Masyarakat dalam Pengolahan Data Spasial Menuju Masyarakat Tanggap Bencana Banjir di Kecamatan Pesanggrahan Jakarta Selatan Darmawan, Yahya; Munawar, Munawar; Sudarisman, Maman; Ferdiyansyah, Ervan; Arifianto, Fendy; Virgianto, Rista Hernandi; Amri, Sayful; Veanti, Desak Putu Okta
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 7, No 3 (2024): Volume 7 No 3 2024
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v7i3.13681

Abstract

ABSTRAK Pengolahan data spasial diperlukan dalam administrasi dan manajemen pemerintahan di berbagai wilayah, termasuk Kecamatan Pesanggrahan, Jakarta Selatan. Namun, kemampuan pengolahan data spasial oleh perangkat pemerintahan di Kecamatan Pesanggrahan masih terbatas. Oleh karena itu, pelatihan ini bertujuan untuk meningkatkan kapasitas masyarakat dalam mengelola data spasial, khususnya terkait respons terhadap banjir di kecamatan tersebut. Peningkatan kapasitas dilakukan melalui kegiatan bimbingan teknis dan Forum Group Discussion (FGD) yang kemudian dievaluasi. Hasil survei sebelum dan setelah pelatihan menunjukkan peningkatan pemahaman masyarakat terkait tugas dan fungsi Badan Meteorologi, Klimatologi, dan Geofisika (BMKG), termasuk informasi yang disampaikan kepada masyarakat. Setelah pelatihan, terjadi peningkatan yang signifikan dalam pemahaman masyarakat, khususnya terkait pengolahan data spasial dengan Sistem Informasi Geografis (SIG) dan potensi bencana hidrometeorologi di Kecamatan Pesanggrahan. Kata Kunci: Sistem Informasi Geografis (SIG), Data Spasial, Kecamatan Pesanggrahan, Kapasitas Masyarakat  ABSTRACT Spatial data processing is crucial for governance in various regions, including Pesanggrahan Subdistrict, South Jakarta. However, the capability in spatial data processing among local government officials in Pesanggrahan Subdistrict is still limited. Therefore, this training aims to enhance the community's capacity in managing spatial data, especially in response to floods in the subdistrict. Capacity-building is conducted through technical guidance activities and Forum Group Discussions (FGD), followed by an evaluation. Pre-and post-training surveys show an improved understanding among the community regarding the roles and functions of the Meteorology, Climatology, and Geophysics Agency (BMKG), including the information conveyed to the public. After the training, there is a significant increase in the community's understanding, particularly in spatial data processing with Geographic Information System (GIS) and the potential risks of hydrometeorological disasters in Pesanggrahan Subdistrict. Keywords: Geographic Information System (GIS), Spatial Data, Pesanggrahan Subdistrict, Community Capacity
Peningkatan Literasi Perubahan Iklim terhadap Sektor Wisata dan Kesehatan di Kelurahan Tuban Provinsi Bali Veanti, Desak Putu Okta; Septiadi, Deni; Darmawan, Yahya
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 7, No 10 (2024): Volume 7 No 10 (2024)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v7i10.17526

Abstract

ABSTRAK Topik perubahan iklim telah menjadi perhatian global, terutama terkait dampaknya terhadap berbagai sektor, termasuk pariwisata dan kesehatan. Kelurahan Tuban, Bali, yang merupakan salah satu destinasi wisata utama, menghadapi ancaman serius dari dampak perubahan iklim seperti kenaikan permukaan laut dan erosi pantai. Penelitian ini bertujuan untuk meningkatkan literasi masyarakat terkait perubahan iklim di sektor wisata dan kesehatan melalui kegiatan pelatihan dan diskusi kelompok terfokus (Forum Group Discussion). Data dikumpulkan melalui survei pre-test dan post-test yang dilakukan pada peserta pelatihan untuk mengukur pemahaman sebelum dan sesudah kegiatan. Metode yang digunakan adalah pelatihan dengan pendekatan partisipatif, melibatkan 30 peserta dari perangkat masyarakat setempat. Hasil penelitian menunjukkan peningkatan pemahaman yang signifikan terkait mitigasi dan adaptasi perubahan iklim, terutama dalam penerapan manajemen risiko dan pemeliharaan lingkungan. Kesimpulannya, pelatihan ini berhasil meningkatkan kapasitas masyarakat dalam menghadapi tantangan perubahan iklim dan mendukung keberlanjutan sektor pariwisata serta kesehatan di Kelurahan Tuban. Kata Kunci: Perubahan Iklim, Mitigasi, Adaptasi, Pariwisata, Kesehatan  ABSTRACT Climate change has become a global concern, especially due to its impact on various sectors, including tourism and health. Tuban Village, Bali, a key tourist destination, is facing serious threats from climate change, such as rising sea levels and coastal erosion. This study aims to improve the community's understanding of climate change in the tourism and health sectors through training and Focused Group Discussions (FGD). Data was collected through pre-test and post-test surveys with participants to measure their understanding before and after the activities. The method used was participatory training, involving 30 local community members. The results showed a significant improvement in their understanding of climate change mitigation and adaptation, especially in risk management and environmental preservation. In conclusion, the training successfully increased the community’s ability to deal with climate change challenges and support the sustainability of tourism and health sectors in Tuban Village. Keywords: Climate Change, Mitigation, Adaptation, Tourism, Health
Co-Authors Afriyanti Agung Perdian Sulistio Akbar, Ahmad Aldizar Al Badri, Abdul Aziz Amanu, Rendy Syahril Amri, Sayful Anggraini, Eca Indah Aplena Elen S. Bless Ardhana, Andini Aprilia Arief Wibowo Arief, Syachrul Arifianto, Fendy Arkananta, Muhammad Zaky Armadyaputri, Aludra Nadia Bambang Giyanto Benyamin Heryanto Rusanto Carundyatama, Daniar Ihza Dahsan, Sudarti Deni Septiadi Dhaifullah Rafif Aslam Erna Frida Fadhli Aslama Afghani Fadllillah, Ahmad Arif Zulfan Ferdiansyah, Ervan Ferdiyansyah, Ervan Franchitika, Rizky Giananti, Attiya Shakila Habibi, Naufal Ilham Hayatul Khairul Rahmat Hibatullah, Khindi Aufa Ikhsanudin, Agus Haryanto Imawan Mashuri Karyono Karyono Kusumayanti, Diah Lumbantoruan, Alva Josia Manik, Willy Bonanja Manurung, Ellya Veronika Iriani Manurung, Royston Marhaposan Situmorang, Marhaposan Muhamad Arif Jumansa Muhammad Labieb Muzakkie Muhammad Zaky Arkananta Mulya, Aditya Munawar Munawar Nardi, Nardi Nisa, Ania Maulidiah Nurdin, Fachdy Oktabrian, Krisna Dwi Parwati Sofan Rahma, Nuzula Elfa Ramadoni Khirtin Restianto, Mohammad Obie Rista Hernandi Virgianto Samen Baan Sanjaya, Kadek Valerina Kitana Saputra, Ahmad Irsyad Saragih, Immanuel Jhonson A. Sudarisman, Maman Supriyadi, Asep Adang Syahrul Humaidi, Syahrul Tambunan, Nensy Nindy Tanggahma, Yuan Zalfa Trianasari, Maria Evy Tulus Ikhsan Nasution Veanti, Desak Putu Okta Vidia, Trimawarti Esti Wandono, Wandono Weman Suardy Wibowo, Shindyko Widodo , Anton Widodo Widodo