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Peningkatan Kapasitas Perangkat Masyarakat dalam Pengolahan Data Spasial Menuju Masyarakat Tanggap Bencana Banjir di Kecamatan Pesanggrahan Jakarta Selatan Yahya Darmawan; Munawar Munawar; Maman Sudarisman; Ervan Ferdiyansyah; Fendy Arifianto; Rista Hernandi Virgianto; Sayful Amri; Desak Putu Okta Veanti
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
ANALYSIS OF CLIMATE COMFORT LEVEL IN JAM GADANG TOURISM AREA Fahmi yuwan Purnama; Nurul Hasanah M; Thedy Gio Miokta; M. Fatahilah Raymon; Rista Hernandi Virgianto
Jurnal Segara Vol 19, No 1 (2024): April
Publisher : Politeknik Kelautan dan Perikanan Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/segara.v19i1.12173

Abstract

The potential of the tourism sector is very important, especially in terms of economic development. One of the factors affecting the tourism sector is the comfort of climatic conditions. Information about climatic conditions becomes the main factor in choosing the destination of a tourist trip. This study aims to analyze the level of climate comfort in the Jam Gadang tourist area of West Sumatra Province based on the Temperature Humidity Index (THI), Discomfort Index (DI), and Humidex Index. The use of secondary data from the parameters of air temperature and daily air humidity obtained from the Bukit Kototabang Global Atmospheric Monitoring Station with a period range of 2010-2020. Processing using R-Studio and Microsoft Excel software. The method used is descriptive analysis. The results showed that the level of climate comfort in the jam gadang tourist area based on the THI, DI, and Humidex indices was included in the comfort category. May is the month with the highest level of comfort. then November is the month with the lowest level of comfort. All three indices have positive correlation values. The influence of the IOD phenomenon when neutral conditions, DM+, and DM- as a whole shows that the index value categories THI, DI, humidex belong to the comfort category. However, humidex index values when DM+ and DM- conditions fall into the category are a little uncomfortable. The average value of the THI index when it is neutral is 20.8 ºC, while at the time of DMI+ and DMI- the average index is the same at 21.7 ºC. Then, the average index value of DI when neutral conditions is 20.9 ºC, while when conditions are DMI+ and DMI- the average is 21.7 ºC. Then, the average value of the humidex index when the neutral condition is 28.1 ºC. While at the time of DMI+ and DMI- the average index is the same at 29.5 ºC.
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
Pemetaan Tipe Iklim Oldeman Tahun 2022-2100 Berdasarkan Skenario SSP5-8.5 Model ACCESS-CM2 Aqasha Raechan Anam; Cakra, Alif Putra; Wardoyo, Wildan Auliya Azka; Asary, Sopia Mince; Virgianto, Rista Hernandi
JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Vol. 7 No. 1 (2023): May Edition
Publisher : Universitas Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jipfri.v7i1.2046

Abstract

Climate change is part of the most serious problem for the life of the world community today. One sector that is highly vulnerable to the impacts of climate change is the agricultural sector. One method that can be used is to see a picture of the future climate by making climate projections based on certain scenarios. The data used in this study are monthly rainfall data at 4 observation points of BMKG stations as well as Historical and Projection model data from the SSP5-8.5 ACCES-CM2 model scenario at 36 points in the West Java region taken from Copernicus ECMWF at https://cds.climate.copernicus.eu/. The results showed that a comparison of Oldeman's classification based on the 2 projection data used showed differences, namely for SSP2-4.5 data it was more categorical in class D while for SSP5-8.5 data the classification was in class C except for the period 2071-2100 for SSP2-4.5 data showing classification in class B. It can be said that in the West Java region rice can be planted once based on SSP2-4.5 data and twice based on SSP5-8.5 data.
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.