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All Journal Jurnal Ilmu Lingkungan Jurnal Pendidikan Geografi Undiksha Jurnal Sains dan Pendidikan Fisika Majalah Geografi Indonesia JFA (Jurnal Fisika dan Aplikasinya) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JPSE (Journal of Physical Science and Engineering) Jurnal Sains & Teknologi Modifikasi Cuaca Jurnal Geografi, Edukasi dan Lingkungan Jurnal Meteorologi Klimatologi dan Geofisika Jurnal Penelitian Pengelolaan Daerah Aliran Sungai Journal of Marine Research and Technology Jurnal Kelautan Nasional Jurnal Sains Dirgantara JURNAL METEOROLOGI DAN GEOFISIKA Indonesian Physical Review To Maega: Jurnal Pengabdian Masyarakat JTIK (Jurnal Teknik Informatika Kaputama) Pillar of Physics: Jurnal Berkala Ilmiah Fisika J-Intech (Journal of Information and Technology) Jurnal Meteorologi dan Geofisika
Aries Kristianto
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Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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ESTIMASI CURAH HUJAN AKIBAT MCC MENGGUNAKAN METODE CSTm (MODIFIED CONVECTIVE STRATIFORM TECHNIQUE) (STUDI KASUS MCC SULAWESI 15 – 16 Maret 2018) Winona Puspa Betari; Aries Kristianto; Deni Septiadi
Jurnal Sains dan Pendidikan Fisika Vol 19, No 3 (2023): JURNAL SAINS DAN PENDIDIKAN FISIKA
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jspf.v19i3.52977

Abstract

MCC merupakan sistem konvektif skala meso yang terdiri dari gabungan sel konvektif tunggal dengan durasi kejadian ≥ 6 jam. Di Indonesia, MCC berkontribusi 20% terhadap total curah hujan dengan sebagian besar kejadian MCC terjadi di daratan. Dikarenakan keterbatasan data pengamatan curah hujan di beberapa titik di wilayah Indonesia, data satelit dapat digunakan untuk mengetahui data curah hujan di suatu wilayah. Penelitian ini membahas mengenai perhitungan estimasi curah hujan akibat dari MCC menggunakan metode CSTm (Modified Convective Stratiform Technique) yang memanfaatkan data satelit. Estimasi curah hujan di beberapa titik kejadian hujan akibat MCC menghasilkan nilai yang underestimate dikarenakan metode CSTm yang memisahkan komponen konvektif dan stratiform dalam perhitungannya digunakan untuk menghitung estimasi curah hujan akibat MCC yang merupakan gabungan dari beberapa sel konvektif tunggal.
Comparison of Microphysics Schemes on WRF-HAILCAST Model to Study Hailstone in Aeronautics (Case Study: Hail Strike on AirAsia A320-200, November 16, 2018) Maulana, Muhammad Ikko Safrilda; Kristianto, Aries
JPSE (Journal of Physical Science and Engineering) Vol 8, No 1 (2023): JPSE (Journal of Physical Science and Engineering)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um024v8i12023p020

Abstract

A hail strike is caused by the hail phenomenon, an aviation accident caused by environmental factors. Hail is a type of extreme weather in the form of precipitation ice grains which is generally caused by cumulonimbus clouds. Research on hail modeling can be carried out using the Weather Research Forecasting Hail Forecast (WRF-HAILCAST), which can model the structure, dynamics, microphysics, hailstone distribution, and estimate the maximum diameter of the hailstone. In this study, the hail modeling that caused the hail strike on the AirAsia A320-200 aircraft on November 16, 2018, was carried out using the WRF-HAILCAST model with six different microphysics schemes. This study compares the results of the microphysics scheme on the WRF-HAILCAST model in hail modeling. The results of this study indicated that each microphysics scheme produces a different outcome. Generally, the spatial and temporal distribution of the entire scheme could indicate the presence of convective clouds reaching 40–55 dBZ. Each scheme showed the microphysical processes of clouds consisting of different hydrometeor particles. However, only MY2 and NSSL showed the presence of supercooled water, and those schemes could estimate maximum diameter hailstone worth 25.8 mm and 13.2 mm. So, NSSL is the best microphysics scheme in this study.DOI: 10.17977/um024v8i12023p020
Pengaruh Tingkat Pendidikan Terhadap Pemahaman Materi Meteorologi Klimatologi Untuk Pertanian Giarno Giarno; Djoko Prabowo; Aries Kristianto; Imawan Mashuri; Hafidz Syarifuddin; Filbert Pascalis Almer Mahendra; Qosinatus Sa'diyah
To Maega : Jurnal Pengabdian Masyarakat Vol 7, No 3 (2024): Oktober 2024
Publisher : Universitas Andi Djemma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/tomaega.v7i3.2818

Abstract

Tujuan pengabdian kepada masyarakat (PKM) ini adalah melakukan edukasi informasi meteorologi, dan klimatologi untuk pertanian pada masyarakat petani. Kegiatan PKM berlokasi Desa Bulukerto, Kota Batu, Provinsi Jawa Timur. Wilayah ini merupakan setra peranian di Kota batu dan pernah banjir bandang sehingga perlu peningkatan literasi bidang meteorologi, dan klimatologi. Survey lokasi dan masyarakat, pengiapan materi yang tepat, ceramah dan membaca produk-produk informasi meteorologi, dan klimatologi digunakan dalam kegiatan PKM. Untuk mengukur penyerapan materi dilakukan pretest dan posttest sebelum dan setelah penyampaian materi. Hasil evaluasi kegiatan pengabdian kepada masyarakat menunjukkan tingkat pendidikan berpengaruh terhadap penyerapan pemahaman materi meteorologi, klimatologi dan geofisika. Meskipun level Pendidikan S1 memiliki nilai rata-rata paling tinggi, tetapi kenaikan nilai rataannya masih lebih rendah dibandingkan dengan tingkat pendidikan lainnya. Meskipun nilai rata-rata atau mediannya hasil peningkatan nilai posttest pada tingkat pendidikan SD dan SMP tetapi nilainya memiliki disparitas yang semakin besar.
Rancangan dan Implementasi Sistem Monitoring Bencana Frost (Embun Beku) JUFRI, RAVYDO ANGGARA; NUGROHO, HAPSORO AGUNG; KRISTIANTO, ARIES; SEPTIADI, DENI; VIRGIANTO, RISTA HERNANDI; NUGRAHEINI, IMMA REDHA; SOEGIARTO, ITA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 2: Published April 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i2.288

Abstract

ABSTRAKDaerah dataran tinggi Dieng merupakan wilayah terdampak fenomena embun beku selama musim kemarau. Fenomena ini menjadi ancaman serius bagi petani di wilayah tersebut dikarenakan embun beku dapat merusak tanaman dan merugikan hasil panen. Dalam penelitian ini, sebuah sistem deteksi embun beku dirancang untuk mengidentifikasi dan mengetahui keberadaan embun beku pada pertanian secara real-time. Hasil pengujian di lokasi menunjukkan bahwa sistem mendeteksi kondisi “Waspada”, kemudian mengirimkan notifikasi dan peringatan ke website, saat nilai output dari sensor DHT22 menunjukan suhu udara bernilai 1°C, kelembaban udara bernilai 91%, suhu titik embun bernilai 0°C, nilai output sensor anemometer menunjukkan kecepatan angin bernilai 5.12 m/s, serta nilai ouput sensor wind vane direction menunjukan arah angin di 331°.Kata kunci: embun beku, pertanian, sistem monitoring, dieng ABSTRACTThe Dieng plateau area is an area affected by frost phenomena during the dry season. This phenomenon poses a serious threat to farmers in the region as frost can damage crops and harm yields. In this research, a frost detection system is designed to identify and know the presence of frost on agriculture in real-time. The results of on-site testing show that the system detects "Alert" conditions, then sends notifications and alerts to the website, when the output value of the DHT22 sensor shows the air temperature is 1°C, the air humidity is 91%, the dew point temperature is 0°C, the anemometer sensor output value shows the wind speed is 5.12 m/s, and the wind vane direction sensor output value shows the wind direction at 331°.Keywords: frost, agriculture, monitoring system, dieng
Sensitivity of WRF-HAILCAST Model for Hailstone Detection in Central Lombok on 24 February 2019 Maulana, Muhammad Ikko Safrilda; Kristianto, Aries
Jurnal Fisika dan Aplikasinya Vol 20, No 1 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i1.14010

Abstract

Hail is one type of extreme weather produced by Cumulonimbus clouds or convective clouds. Due to deep convection involve to physical processes and cloud dynamics, hail may occur in Indonesia. WRF-HAILCAST was used in this study to detect hailstone. The HAILCAST model is applied to WRF-ARW version 4.0 and above in WRF-HAILCAST. The purpose of this study was to determine the sensitivity of the WRF-HAILCAST model with a modified WSM6 microphysics scheme to detect hailstones that possible to reach the surface. The maximum reflectivity value, vertical reflectivity, maximum hailstone diameter, and cloud microphysics were all approximated properly as a result of this study. The estimation of maximum diameter hailstone was 1.6 cm at the time of hail occurred, and the graupel mixing ratio showed 2.2 g/kg which represented small hail could be detected in  this model. However, WRF-HAILCAST tends to underestimate and has not been able to estimate the time of hail events according to weather radar properly.
The Influence of Australian Monsoon Winds on Simultaneous Occurrence of Mountain Waves in Central Java and East Java Alpentido, Rahmat; Kristianto, Aries
Jurnal Fisika dan Aplikasinya Vol 20, No 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v20i2.18883

Abstract

Mountain waves are a phenomenon that had occurred due to the interaction of laminar flow in the atmosphere with the contours of the mountains. These waves had been characterized by the presence of lenticular clouds that had formed at the mountain peaks. On the 5th of November 2020, lenticular clouds had formed simultaneously in East and Central Java. During the same period, Australian Monsoon was still active in Java region. Based on these two phenomena, this research had investigated the influence of the Australian Monsoon on the process of mountain wave formation in Central Java and East Java using FNL data. The processing had been carried out using WRF-ARW with resolutions of 9, 3, and 1 km. The results had shown the presence of easterly winds that had affected the atmospheric stability of the Central Java and East Java regions, characterized by the formation of laminar flow, with the formation of laminar flow occurring first in the East Java region. The model output results for potential temperature parameters and visualizations had shown stable atmospheric conditions from the 4th to the 6th of November. The parameter of vertical wind speed had indicated the presence of mountain wave fluctuations in all regions.
PEMANFAATAN NUMERICAL WEATHER PREDICTION DAN CITRA SATELIT HIMAWARI-9 DALAM ANALISIS KONDISI ATMOSFER SAAT HUJAN LEBAT: (Studi Kasus 14 Maret 2024) Rafi, Rayhan; Syahid, Wisnu; Kaizzi Larasati, Kanaya; Aydin Umardani, Syarif Abdillah; Abigael, Febby Debora; Kristianto, Aries
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 9 No. 1 (2025): Volume 9, Nomor 1, Januari 2025
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v9i1.910

Abstract

Heavy rainfall occurred in the Special Region of Yogyakarta on March 14, 2024. This rainfall event was categorized as extreme weather, as data from the Regional Disaster Management Agency (BPBD) reported damage in 496 affected locations. Heavy rainfall can occur due to atmospheric instability caused by the growth of convective clouds (cumulonimbus). The phenomenon of heavy rainfall was monitored using remote sensing systems in the form of satellites to observe and analyze the event. Yogyakarta's topography explains the use of ECMWF ERA-5 model data to identify wind distribution patterns (streamlines) influenced by westerly winds. The Convective Cloud Overlay (CCO), red-green-blue (RGB), and High-resolution Cloud Analysis Information (HCAI) methods were applied to interpret cumulonimbus cloud development, observed from the formation phase (08:00 UTC) to the dissipation phase (18:00 UTC). Observations indicated a decrease in cloud-top temperature to -80°C at 09:00 UTC, followed by dissipation with a temperature of -20°C at 18:00 UTC. Atmospheric instability indices were analyzed using numerical weather prediction (NWP) methods to obtain quantitative values for indices contributing to heavy rainfall, such as SSI, LI, KI, TT, SWEAT, and CAPE. This study concluded that a "moderate" increase in instability index values explained why convective cloud development occurred.
Klasifikasi Cuaca Berbasis Citra dengan Model CNN LeNet-5 yang Dimodifikasi Tuna, Miranda Sahfira; Kristianto, Aries
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1515

Abstract

The development of technology in the field of weather information is needed especially for all aspects of life. To recognize, study, and detect weather conditions that occur, classification techniques with the help of artificial intelligence are needed. The classification model used is a convolutional neural network (CNN) with a modified LeNet-5 architecture. The purpose of this study is to test the performance of the model for the classification of sunny, cloudy, cloudy and rainy weather conditions, as well as to determine the resulting accuracy and its application. With this model. The image size used is 224x224, batch size 32, learning rate 0.0001 and trained with 50 epochs. In the model training process, 8 different scenarios were created involving augmentation and no augmentation techniques, as well as the use of one of the callbacks functions in the form of earlystopping. The CNN model that uses augmentation and earlystopping with a patience value of 5 produces the best performance because it achieves an accuracy of up to 94%. The model is implemented on a locally hosted website and produces predictions that match the weather conditions that occur
Identification of Mesoscale Convective System Phenomena in Relation to Heavy Rain in Semarang (Case Study of the Squall Line on March 13, 2024) Cahya, Shintia Dwi; Halawa, Reinal Taruna Wahyu; Alghazali, Muhammad Fathurrachman; Saifulloh, Naufaldi; Kristianto, Aries
PILLAR OF PHYSICS Vol 18, No 1 (2025)
Publisher : Department of Physics – Universitas Negeri Padang UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/17058171074

Abstract

Indonesia, located in the equatorial region, experiences complex rainfall variability influenced by various climatic and geographic factors. Mesoscale Convective Systems (MCS), including squall lines, are a significant contributor to extreme weather phenomena such as heavy rainfall and strong winds. This study investigates the mesoscale convective system (MCS) phenomenon, focusing on its formation, atmospheric dynamics, and associated rainfall distribution. This research investigates the squall line phenomenon, specifically focusing on a squall line event in Semarang, Indonesia, on March 13, 2024. Utilizing data from Himawari-8 satellite imagery, ERA5 reanalysis, and GSMaP rainfall observations, the research identifies the development, atmospheric dynamics, and rainfall intensity of the squall line. Satellite imagery analysis revealed the squall line's linear pattern with cloud top temperatures below -60°C, forming during intense convective activity. Atmospheric instability indices, including CAPE and LI, indicated favorable conditions for squall line development, based on a Skew-T Log-P diagram, shows CAPE values reaching 427 J/kg, minimal CIN, and increasing wind shear with altitude. Rainfall distribution analysis identified localized extreme precipitation exceeding 120 mm within the study period, which aligns with the squall line's trajectory. The findings highlight the significant role of squall lines in triggering heavy rainfall and hydrometeorological disasters in Indonesia, emphasizing the need for accurate monitoring and early warning systems.The findings highlight the critical role of mesoscale dynamics in triggering squall lines and their potential to induce hydrometeorological disasters. This study underscores the need for improved monitoring and forecasting of MCS events to mitigate their impacts on vulnerable regions like Semarang.
EVALUATING SURFACE TEMPERATURE VARIABILITIES AND CLIMATE EXTREMES IN THE DIENG PLATEAU OVER THREE DECADES Nugraheni, Imma Redha; Virgianto, Rista Hernandi; Kristianto, Aries; Septiadi, Deni; Nugroho, Hapsoro Agung; Soegiarto, Ita; Radjab, Fachri
Indonesian Physical Review Vol. 8 No. 2 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i2.493

Abstract

This study examines long-term surface temperature variability and climate extremes in the Dieng Plateau, Central Java, from 1991 to 2022. Despite its tropical location, the region’s unique high-altitude microclimate, with frequent frost events, has raised concerns for local agriculture, particularly potato farming. However, limited observational data has constrained in-depth assessments. To address this, we used bias-corrected ERA5 reanalysis data, calibrated using hourly observations from an Automatic Weather Station (AWS) installed in 2021. The analysis focused on climatological trends and temperature-related extreme indices following the Expert Team on Climate Change Detection and Indices (ETCCDI) framework. Our findings indicate seasonal patterns in diurnal temperatures, with JJA (June–August) exhibiting the greatest variability and the lowest night time temperatures, conditions favorable to frost formation. Among the extreme indices, warmest night temperatures (TNx) increased significantly at a rate of 0.017°C/year (p < 0.01), while coldest night temperatures (TNn) showed a slight but significant decline. The frequency of warm nights (TN90p) rose by 0.242 days/month, while cold nights (TN10p) decreased by 0.161 days/month. Meanwhile, trends for warm days (TX90p), cold days (TX10p), and cold spell duration (CSDI) were statistically insignificant. These results highlight the plateau’s sensitivity to night time warming and the potential risk of climate-driven shifts in frost occurrence. The combination of high-resolution reanalysis data and extreme indices offers valuable insight into microclimate behavior in tropical highlands, with direct implications for frost risk management and climate adaptation strategies in vulnerable agricultural zones.
Co-Authors Abigael, Febby Debora Achmad Zakir Adelina Lumban Gaol Adi Mulsandi Aditya Mulya Aditya Mulya Agung Hari Saputra Alghazali, Muhammad Fathurrachman Alpentido, Rahmat Anggareta Khairunnisa Arno, Giarno Avrionesti, Avrionesti Aydin Umardani, Syarif Abdillah Bayu Edo Pratama Cahya, Shintia Dwi Carundyatama, Daniar Ihza Deffi Munadiyat Putri Deni Septiadi Deni Septiadi Dewi, Aprilia Mustika Djoko Prabowo Dudy Darmawan Wijaya Ejha Larasati Siadari Filbert Pascalis Almer Mahendra Gaol, Adelina Lumban Gaol, Adelina Lumban Hafidz Syarifuddin Hakim, Muhammad Zaidan Halawa, Reinal Taruna Wahyu Hapsoro Agung Nugroho Hari Winarto Hensatiti Niken Pratiwi Imawan Mashuri Immanuel JA Saragih Istihanah, Dini JUFRI, RAVYDO ANGGARA Kaizzi Larasati, Kanaya Khafid Pratama Lestari, Tri Anggun Mari Frystine Maulana, Muhammad Ikko Safrilda Maulana, Muhammad Ikko Safrilda Meldisa Putri Maulidyah Muhammad Afif Shofiyudh Dhuha Muhammad Ryan Novitarini, Putu Widya NUGRAHEINI, IMMA REDHA Nugraheni, Imma Redha Prakoso, Adhitya Pratama, Khafid Pratiwi, Hensatiti Niken Putri, Deffi Munadiyat Qosinatus Sa&#039;diyah Radjab, Fachri Rafi, Rayhan Rani, Annisa Puspa Rejeki, Hasti Amrih Rista Hernandi Virgianto Ryan, Muhammad Ryan, Muhammad Saifulloh, Naufaldi Saragih, Immanuel JA Siadari, Ejha Larasati Siadari, Ejha Larasati Soegiarto, Ita Syahid, Wisnu Tri Wahyu Hadi TUNA, MIRANDA SAHFIRA Usman Efendi Usman Efendi Wandarana, Wulan WINONA PUSPA BETARI Wulan Wandarana Yusuf Jati Wijaya Zakir, Achmad Zakir, Achmad