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All Journal JOURNAL OF CIVIL ENGINEERING, BUILDING AND TRANSPORTATION JTIK (Jurnal Teknik Informatika Kaputama) JPM: JURNAL PENGABDIAN MASYARAKAT
Abigael, Febby Debora
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Aerospace Engineering Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Transportation Other

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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.
The Utilization of HuberRegressor Machine Learning Model to Predict Carbon Monoxide Concentration in Surabaya City Sugiarto, Cahya; Abigael, Febby Debora; Athallah, Yusron Faiz; Agung Hari Saputra
JOURNAL OF CIVIL ENGINEERING BUILDING AND TRANSPORTATION Vol. 8 No. 1 (2024): JCEBT MARET
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jcebt.v8i1.11262

Abstract

Carbon monoxide (CO) is one of the pollutant gases whose concentration currently continues to increase due to an increase in population and population activities, especially those that occur in the city of Surabaya, East Java. The purpose of this study is to make a prediction of CO gas concentration in Surabaya City in 2022. CO concentration air quality data was obtained from MERRA-2 Reanalysis through NASA's Giovanni platform. CO concentration data processing is carried out by Machine Learning methods using the Google Colaboratory platform with the HuberRegressor model. The results of the data processing carried out were obtained with details of MASE worth 0.6218, RMSSE worth 0.3657, MAE worth 0.0280, RMSE worth 0.0314, MAPE worth 0.0836, and SMAPE worth 0.0876. From the results of the evaluation of the model, it can be concluded that the HuberRegressor model can make a prediction of CO gas concentration in the city of Surabaya quite well.
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.
Co-Authors Agung Hari Saputra Aries Kristianto Athallah, Yusron Faiz Aydin Umardani, Syarif Abdillah Haryanto, Yosafat Donni Kaizzi Larasati, Kanaya Mardiyansyah, Adji Marzuki, Sinambela Muftareza, Arfany Dimas Munawar Munawar Muthahhari, Ilham Rafi, Rayhan Sugiarto, Cahya Syahid, Wisnu