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All Journal Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Jurnal Fisika Unand Jurnal Sains & Teknologi Lingkungan JITEK (Jurnal Ilmiah Teknosains) Jurnal Penelitian Sains Pangea : Wahana Informasi Pengembangan Profesi dan Ilmu Geografi Optika : Jurnal Pendidikan Fisika Keluwih: Jurnal Sains dan Teknologi JPM: JURNAL PENGABDIAN MASYARAKAT DiJITAC : Digital Journal of Information Technology and Communication Newton-Maxwell Journal of Physics Jurnal Material dan Energi Indonesia Jurnal Ilmu dan Inovasi Fisika Jurnal Ilmu Fisika dan Terapannya (JIFTA) Tropical Marine Environmental Sciences CHEMVIRO : Jurnal Kimia dan Ilmu Lingkungan Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian BULETIN FISIKA
Haryanto, Yosafat Donni
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PEMANFAATAN METODE RGB DALAM ANALISIS AWAN KONVEKTIF SAAT KEJADIAN BANJIR DI SURAKARTA Sulistiyono, Wahyu; Ramadhan, Rino Surya; Adianova, Helena; Haryanto, Yosafat Donni
OPTIKA: Jurnal Pendidikan Fisika Vol. 7 No. 2 (2023): OPTIKA: Jurnal Pendidikan Fisika
Publisher : Department of Physics Education, Faculty of Teacher Training and Education, Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/optika.v7i2.2663

Abstract

Analisis pemanfaatan citra Satelit Himawari-8 pada kasus terjadinya Banjir di Kota Surakarta diperlukan untuk mengetahui dinamika kondisi atmosfer yang menyebabkan terjadinya hujan penyebab Banjir saat tanggal 3 Februari 2021. Metode visualisasi citra satelit Himawari-8 yang digunakan pada penelitian ini terdiri dari metode Airmass, 24H Microphysics, dan Cloud Convective Overlay. Berdasarkan hasil kajian dengan citra satelit metode Airmass dan 24H Microphysics menunjukkan adanya susunan awan konvektif yang berkembang pada wilayah Kota Surakarta. Perkembangan awan konvektif ini dimulai pada jam 09.00-12.00 UTC. Perkembangan awan konvektif pada Kota Surakarta diakibatkan adanya pola konvergensi dan pola vortisitas potensial negatif yang meningkatkan perkembangan awan konvektif dengan nilai vortisitas potensial sebesar -6e-07 K m2 kg-1 s-1 dan nilai divergensi negatif sebesar -1e-05 sampai -5e-05 s-1. Berdasarkan citra satelit metode 24H Microphysics, fase matang perkembangan awan konvektif tercapai saat jam 12.00-13.00 UTC yang ditandai dengan penebalan dari tutupan awan Cumulonimbus, sementara fase peluruhan dimulai setelah jam 13.00 UTC.  
Analisis Variabilitas Iklim Di Kabupaten Lampung Selatan Hidayat, Rizal; Haryanto, Yosafat Donni
Jurnal Fisika Unand Vol 12 No 2 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.12.2.254-260.2023

Abstract

Indonesia sebagai negara kepulauan yang terdiri dari pulau-pulau besar dan kecil menjadi rentan terhadap dampak perubahan iklim. Salah satu wilayah yang juga rentan terhadap perubahan iklim adalah Kabupaten Lampung Selatan. Dampak potensial adanya perubahan iklim adalah perubahan pola hujan, peningkatan suhu udara dan kenaikan permukaan laut. Sektor yang akan menerima dampak perubahan iklim dengan serius adalah sektor kehutanan dan pertanian. Untuk mendukung upaya mitigasi dan adaptasi maka diperlukan informasi perubahan iklim yang terjadi. Penelitian ini bertujuan untuk mengetahui variabilitas iklim di Kabupaten Lampung Selatan. Data yang digunakan adalah data curah hujan dan suhu dari Stasiun Meteorologi Radin Inten II selama 30 tahun (1991-2020). Metode yang digunakan adalah analisis kecenderungan curah hujan, analisis perubahan suhu udara, analisis perubahan tipe iklim dan analisis pergeseran bulan basah, lembab dan kering. Berdasarkan parameter yang dianalisis, variabilitas iklim di Kabupaten Lampung Selatan adalah tipe iklim Schmidt-Ferguson mengalami perubahan dari sangat basah menjadi basah, curah hujan bulanan dan tahunan memiliki kecenderungan yang menurun, suhu udara rata-rata bulanan pada umumnya mengalami peningkatan; serta terjadi pergeseran dan perubahan jumlah bulan basah dan bulan kering.
Advancing Aviation Meteorology Airport Visibility Prediction Using Random Forest Regressor on Integrated METAR Parameters Kharisma, Adilaksa; Fadhillah, Muhammad; Haryanto, Yosafat Donni
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 9, No 1 (2025)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v9i2.65479

Abstract

To provide accurate and reliable visibility information in support of aviation safety at Soekarno-Hatta International Airport, a visibility prediction system was developed using the Random Forest Regressor algorithm based on 2024 METAR data. Visibility is a critical parameter for flight safety, particularly under adverse weather conditions. The dataset includes wind direction and speed, temperature, dew point, air pressure, weather phenomena, and cloud parameters that were numerically encoded. After preprocessing and quality control, the data was input into a Random Forest model optimized using Grid Search. Evaluation results show strong predictive performance with an R² value of 0.8736, MAE of 607.45 m, and RMSE of 772.29 m. Feature importance analysis identified haze, temperature, and mist as the most influential factors affecting visibility. These findings demonstrate that integrating meteorological observational data with machine learning approaches can provide accurate visibility predictions to support aviation operational decision making.
Peningkatan Literasi Kebencanaan untuk Optimalisasi Informasi Peringatan Dini Bencana Geo-Hidrometeorologi Munawar, Munawar; Haryanto, Yosafat Donni; Abigael, Febby Debora; Muftareza, Arfany Dimas; Muthahhari, Ilham; Mardiyansyah, Adji; Sinambela, Marzuki
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i3.2629

Abstract

Tangerang City is one of the regions in Banten Province that is vulnerable to geo-hydrometeorological disasters and has a relatively large population with rapid urban growth, which can increase the risk of such disasters. Therefore, information, understanding, and actions regarding geo-hydrometeorological disasters are required. Environmental damage and land use change, such as deforestation, urbanization, river sedimentation, and land function conversion, are significant issues. This activity aims to enhance disaster literacy based on Meteorology, Climatology, Geophysics, and Instrumentation (MKGI) in Tangerang City, scheduled for Monday, July 21, 2025, at SMA Al-Husna, Tangerang City, with a total of 67 participants. Through interactive methods that include material presentation, question and answer sessions, quizzes, and questionnaire filling, participants are provided with a comprehensive understanding of geo-hydrometeorological disasters, mitigation strategies, and the utilization of technology in early warning systems. One of the innovations of this activity is the development of a weather forecast information product based on Telegram bot for the area of Tanah Tinggi Village, which provides weather forecast information automatically using open data from BMKG. Evaluation results show that participants had a good understanding of the socialization material, especially in the topics of information dissemination and geohydrometeorological disasters. The questionnaire index score reached 87.60%, falling into the category of "Strongly Agree". The developed Telegram product successfully presents real-time weather information every 3 hours in a structured and easily accessible manner. This activity proves that a literacy approach based on MKGI and technology can have a positive impact in raising awareness and improving preparedness against geo-hydrometeorological disaster risks.
The Small Fire Detection Using Rgb Method Of Himawari-9 And Firms Satellite Imagery (Fire Information Resource Management System) Using Viirs And Modis Satellite Imagery In Medan Marelan (Case Study: 16 November 2023) Giananti, Attiya Shakila; Haryanto, Yosafat Donni; Sopacua, Jerremy Mezac
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 22 No. 2 (2025): Volume 22 No 2, December 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v22i2.622

Abstract

Medan City is a city with a dense population. This causes residential areas in Medan Marelan tend to be densely packed. The negative impact is that are prone to fire disasters. To prevent the impact of these fires, monitoring is needed. Way of monitoring that can be done is using remote sensing. This research carried out remote-sensing by using the Himawari-9, MODIS, and VIIRS satellites. The method used are the Red Green Blue (RGB) method for the Himawari-9 satellite and the Fire Information Resource Management System (FIRMS) method for the MODIS and VIIRS satellites. Based on this research, the MODIS and VIIRS satellites are superior in monitoring small fires that occurred in Medan Marelan compared to the Himawari-9 satellite. The Himawari-9 satellite is more likely to detect clouds over fire locations than the fire itself. This was proven by radiosonde data which stated that atmospheric conditions at that time were moderately unstable. With additional information via rainfall data on November 16 2023 with a range of 20-50 mm.
Analisis Performa Indeks Stabilitas Termodinamik Radiosonde dalam Memprediksi Kejadian Thunderstorm di Bandar Udara Juanda: Indonesia Rafi, Rayhan; Athallah, Yusron Faiz; Haryanto, Yosafat Donni
Jurnal Sains & Teknologi Lingkungan Vol. 18 No. 2 (2026): SAINS & TEKNOLOGI LINGKUNGAN
Publisher : Teknik Lingkungan Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jstl.vol18.iss2.art1

Abstract

Operational flight safety at Juanda International Airport relies heavily on the accuracy of short-term weather predictions (nowcasting), particularly in anticipating significant convective weather phenomena. This study aims to evaluate the performance of six thermodynamic instability indices (CAPE, K-Index, Lifted Index, Total-Totals, Showalter Index, and SWEAT) derived from 00.00 UTC radiosonde data in predicting Thunderstorm events occurring between 00.00–06.00 UTC. Using observational data from September 2024 to August 2025, verification was conducted through visual distribution analysis (Box Plot) and statistical contingency table scores (POD, FAR, CSI). Seasonal analysis shows that instability indices exhibit higher sensitivity during the Rainy Season (DJF) compared to the Dry Season (JJA), consistent with the greater frequency of convective events in that period. Quantitatively, the Lifted Index (LI) demonstrates relatively superior validation performance, indicated by the highest Critical Success Index (CSI) among all indices. This suggests that stability parameters based on parcel temperature differences are more representative of local atmospheric conditions than purely energy-based parameters such as CAPE. However, the generally low CSI values (< 0.2) indicate that these indices still have limited sensitivity in capturing local atmospheric dynamics at Juanda, as reflected by the relatively high occurrences of Misses and False Alarms. This study recommends prioritizing the use of LI, while further investigation on local threshold adjustments and extending the temporal scale of analysis is necessary to improve predictive performance.
ANALISIS PENGARUH SIKLON TROPIS SENYAR TERHADAP KONDISI ATMOSFER DI SUMATRA UTARA: STUDI KASUS NOVEMBER 2025 Purwandha, Dwi; Amarullah, Nadia Aurellia; Haryanto, Yosafat Donni
(JITEK)Jurnal Ilmiah Teknosains Vol 12, No 1/Now (2026): Vol.12 No. 1 Mei 2026
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jitek.v12i1/Now.26811

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh tidak langsung Siklon Tropis Senyar terhadap kondisi atmosfer di wilayah Sumatra Utara. Data yang digunakan merupakan data reanalisis ERA5 pada periode 26–30 November 2025. Parameter atmosfer yang dianalisis meliputi geopotensial, kelembapan relatif, dan suhu udara pada lapisan bawah atmosfer. Analisis dilakukan secara komparatif antara kondisi sebelum terbentuknya siklon dan setelah siklon berkembang serta menjauh dari wilayah kajian. Hasil analisis menunjukkan bahwa sebelum terbentuknya Siklon Tropis Senyar terjadi penguatan gangguan tekanan rendah yang disertai peningkatan kelembapan dan suhu udara, sehingga mendukung proses konveksi. Setelah siklon berkembang, pengaruh sisa sistem masih teramati melalui kelembapan yang relatif tinggi dan pola geopotensial yang belum sepenuhnya stabil, meskipun pada tahap selanjutnya terlihat proses pemulihan atmosfer. Hasil penelitian ini menunjukkan bahwa meskipun lintasan Siklon Tropis Senyar tidak melintasi Sumatra Utara secara langsung, sistem tersebut tetap memberikan pengaruh signifikan terhadap dinamika dan kondisi termodinamika atmosfer di wilayah tersebut.
Performance Evaluation of ERA5 Reanalysis against Radiosonde Observations in Representing Atmospheric Vertical Variability on a Seasonal Scale in the Maritime Continent of Indonesia Adzan, Muhizzadin Abdul; Setyowati, Petiwi Risky; Haryanto, Yosafat Donni
BULETIN FISIKA Vol. 28 No. 1 (2027): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2027.v28.i01.p03

Abstract

ERA5 reanalysis is widely applied in meteorological studies, but its performance requires evaluation in regions with complex seasonal dynamics such as the Indonesian Maritime Continent (BMI). This study assesses the ability of ERA5 to represent seasonal atmospheric vertical variability using radiosonde observations. The analysis covers December 2021 to November 2024 at three stations, namely Soekarno-Hatta, Juanda, and I Gusti Ngurah Rai, for temperature, relative humidity, zonal wind, and meridional wind at eight standard pressure levels from 925 to 100 hPa. Evaluation methods include Hovmöller analysis, Mean Absolute Error (MAE), Mean Error (ME), correlation coefficient, scatter plots, and box plots for December–January–February (DJF), March–April–May (MAM), June–July–August (JJA), and September–October–November (SON) seasons. Results indicate that ERA5 represents temperature very well, with MAE values of 0.3 to 1.1°C and correlations exceeding 0.9, although errors increase at 100 hPa. Wind components also show high correlations above 0.9 but exhibit underestimated amplitudes, particularly for zonal winds during DJF. In contrast, relative humidity shows good agreement in the lower layers but significant limitations in the upper layers, with MAE values up to 58 percent, correlations below 0.6, and overestimation above 300 hPa. These findings confirm ERA5’s reliability for temperature and wind analyses, while humidity remains a key source of uncertainty in tropical maritime regions.
Nowcasting of Tropical Cyclone Intensity and Trajectory over Southern Indonesia Using a Temporal Convolutional Network Setyowati, Pertiwi Risky; Haryanto, Yosafat Donni; Mulsandi, Adi; Qomariyatuzzamzami, Latifah Nurul
BULETIN FISIKA Vol. 28 No. 1 (2027): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2027.v28.i01.p02

Abstract

Tropical cyclones are extreme weather phenomena that generate strong winds, heavy rainfall, high waves, and infrastructure damage, necessitating rapid and accurate prediction methods to support early warning systems. This study aims to develop a Temporal Convolutional Network (TCN) model to forecast the short-term track and intensity of tropical cyclones at lead times of 6, 12, 18, and 24 hours within World Meteorological Organization (WMO) Regional Association V (RA V), covering waters south of Indonesia. Best-track data from the Australian Bureau of Meteorology (BOM) for 1973–2026 were used, comprising longitude, latitude, central pressure, and maximum wind speed. Cyclones Seroja, Cempaka, Dahlia, Anggrek, and Savanna served as independent test data, while the remaining data were chronologically split into 90% training (1973–2021) and 10% validation (2022–2026). At a 6-hour lead time, the RMSE for longitude, latitude, maximum wind speed, and central pressure were 1.87°, 0.33°, 2.50 knots, and 3.37 hPa, respectively, with R² values of 0.947–0.994. At 24 hours, RMSE increased to 2.70°, 1.25°, 6.76 knots, and 8.95 hPa; R² for longitude and latitude remained high (0.955 and 0.947), while R² for maximum wind speed and central pressure declined to 0.616 and 0.658. Spatially, the model captured the main trajectory pattern for most cyclones, though performance for Cempaka was relatively low. TCN proved more reliable for track than intensity prediction. Incorporating additional environmental variables is recommended to improve intensity prediction accuracy and strengthen Indonesia's tropical cyclone early warning system.
Co-Authors Abigael, Febby Debora Adi Mulsandi Adianova, Helena Adzan, Muhizzadin Abdul Amarullah, Nadia Aurellia Annisa, Nindya Sekar Athallah, Yusron Faiz Avrionesti, Avrionesti Dewa, I Dewa Gede Loka Maheswara Dwitrisna, Muhammad Fa'iz Fadlan, Ahmad Faiza, Nida Nur Fathoni, Muhammad Yusuf Fatimah, Rizkahana Firdaush, Risang Bayu Giananti, Attiya Shakila Hidayat, Rizal Hidayat, Ulil I Kadek Mas Satriyabawa Jannata, Juan Idhar Kharisma, Adilaksa Latifah Nurul Qomariyatuzzamzami Mardiyansyah, Adji Marthinus, Libertinus Marzuki, Sinambela Mediany, Shinta Muftareza, Arfany Dhimas Muftareza, Arfany Dimas Muhammad Fadhil Z, Rusdi Noor Rosa (p:43-50) Muthahhari, Ilham Muttaqin, Faisal Orleando, Rio Putra Prasetyo, Suwignyo Purwandha, Dwi Rafi, Rayhan Ramadhan, Rino Surya Riama, Nelly Florida RIZKI ZULIANDRY, MUHAMMAD IVAN Rohman, Muhammad Faisal Setyowati, Pertiwi Risky Setyowati, Petiwi Risky Silalahi, Rio Bintang Samudera Sopacua, Jerremy Mezac Sulistiyono, Wahyu TUNA, MIRANDA SAHFIRA Ulhaq, Naufal Dhiya Wahyu Kurniawan WAMBUKUMO, JEFFRY M. Widyandaru, Karmelita Asri Wulaning Sari, Ni Made Orcidia YUDHATAMA, YANUAR Zuliandry, Muhammad Ivan Rizki