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All Journal International Journal of Advances in Applied Sciences Jurnal Sains dan Teknologi Nuklir Indonesia (Indonesian Journal of Nuclear Science and Technology) Jurnal Fisika Unand Jurnal Environmental Science Jurnal Meteorologi Klimatologi dan Geofisika To Maega: Jurnal Pengabdian Masyarakat Jurnal EnviScience (Environment Science) Jurnal Widya Climago
Agung Hari Saputra
Sekolah Tinggi Meteorologi Klimatologi Dan Geofisika
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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PEMANFAATAN MODEL WRF-CHEM DALAM ANALISIS SEBARAN ABU VULKANIK GUNUNG MERAPI (ERUPSI TANGGAL 23 MARET 2020) Yudistira, Ricko; Indah Sary; Agung Hari Saputra
Jurnal Meteorologi Klimatologi dan Geofisika Vol 6 No 3 (2019): Jurnal Meteorologi Klimatologi dan Geofisika
Publisher : Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36754/jmkg.v6i3.137

Abstract

Volcanic ash is the result of fusion on mountain released into the atmosphere. Volcanic ash has dangerous impact for several sectors as health, agriculture, until flight safety. Therefore, it is important to forecast the direction of volcanic ash distribution to reduce disadvantage caused by volcanic ash. One of the way to forecast volcanic ash is to use the WRF-Chem model. The WRF-Chem model is a numerical weather forecast model with chemistry parameter elements so that it can predict the direction of volcanic ash distribution. On March 27, 2020, Mount Merapi had an eruption which caused volcanic ash to reach a height of about 5000 meters from the crater of the mountain. The results of the WRF-Chem model show the distribution direction of each size and concentration of volcanic ash from the 700mb to 300mb levels. The model results show that the volcanic ash distribution of each levels moves to the Southwest in accordance with the advisory data released by VAAC Darwin. However, the results of the model have a time delay in the distribution of volcanic ash
EVALUATING METEOROLOGICAL DATA FOR NUCLEAR POWER PLANT (NPP) PUSPIPTEK SERPONG Deni Septiadi; Arief Yuniarto; Agung Hari Saputra
Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 3 (2020): Jurnal Meteorologi Klimatologi dan Geofisika
Publisher : Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36754/jmkg.v7i3.197

Abstract

Precise and consistent meteorological data is needed to support safety and security as well as in an effort to meet safety requirements and criteria from the initial stages of siting, design, construction, even activities in the previous stages to the operation stage, handling safety during and during decommissioning and waste management radioactive. Therefore, the aim of this study is to identify and analyze the distribution of data distribution to see the extent to which meteorological data for nuclear site area provide accurate and precise data so that it can be used scientifically. In the present paper, the concentrations calculated by this method are compared with data observed over Portable Weather Station (PWS) and existing Automatic Weather Stations (AWS). Good agreement was confirmed in similar data observed and existing of PWS or AWS data due to statistically calculating test using correlation, deviation and Root Mean Square Error (RMSE). The two AWS tested, both Experimental Power Reactor (RDE) and Nuclear Serpong Area (KNS), gave fairly good scores statistically. Analysis on October 13, 2020, the value of RMSE, and the correlation between AWS RDE and KNS, respectively, is 361.2; 67.6 and 0.56. Then the data analysis on October 14, 2019 which compared AWS RDE and PWS, the value of Standard Deviation, RMSE, and the correlation between AWS RDE and PWS were 137.3; 8.65 and 0.48. The availability of good data is 98.3% for RDE and 95.3% for KNS, respectively.
Identification of Dominant Factor for Air Pollution Fluctuations at The Beginning of Covid-19 Large-Scale Social Restrictions (PSBB) in Jakarta Novvria Sagita; Agung Hari Saputra; Rima Novianti
Jurnal EnviScience (Environment Science) Vol 6, No 1 (2022): "Environmental Health, Technology and Its Applications"
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/6ijev.v6iss1.334

Abstract

A Coronavirus Diseases 2019 (COVID-19) stroke many countries at the beginning of 2020. It had an impact not only in the health field but also on the environment. Some countries enforced to lockdown policy. This condition impacted to increase the air quality in big cities in the world. However, the Indonesian government ruled large scale social restriction (PSBB) since April 2020. PSBB is not as strict as lockdown in other countries because society could go out for some crucial reason such as working, and getting food. Many researchers reported that the lockdown policy decreased air pollution in some big cities such as Beijing, Italy, etc. Therefore, this study aimed to identify the dominant factor of air pollution fluctuation 1-month before PSBB, during PSBB and 1-month after PSBB. Is only PSBB reducing social mobility caused changes of air pollutions such as CO, SO2, NO2, PM, and O3 or did meteorological factors such as relative humidity and wind speed also impact air pollutions concentration? To calculate the dominant factor by highest contribution value, this study used multiplication between the slope of pollutant to relative humidity or wind speed or social mobility and the slope of relative humidity or wind speed or social mobility to the time. The result showed that the social mobility at 1-month before PSBB, during PSBB and 1-month after PSBB was the dominant factor of CO decreasing at the rate of -0.44, -0.01, and -0.11 ppm. However, the contribution of relative humidity, wind speed and social mobility to other air pollutions did not always same as the trend of air pollutions.
Pengaruh Teknik Asimilasi Penakar Hujan Brandes Spatial Adjustment terhadap Quantitative Precipitation Estimation (QPE) Radar BMKG Padang Agung Hari Saputra; Nur Riska Lukita; Sirly Oktarina
Jurnal Fisika Unand Vol 11, No 3 (2022)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.967 KB) | DOI: 10.25077/jfu.11.3.373-379.2022

Abstract

Estimasi curah hujan kuantitatif (QPE) dengan tingkat akurasi spasial yang baik dan temporal yang tinggi dapat diperoleh dari instrumen radar cuaca. Namun, terdapat limitasi dalam pengamatan radar cuaca karena efek blocking dan adanya ground clutter. Sehingga pada penelitian ini akan dilakukan perbaikan kualitas data radar dengan mereduksi ground clutter menggunakan clutter map. Setelah perbaikan kualitas data radar akan dilakukan asimilasi data radar dengan data penakar hujan guna mengurangi kesalahan dan meningkatkan akurasi estimasi curah hujan. Data penakar hujan memiliki akurasi yang tinggi namun, informasi yang dikumpulkan masih berupa titik yang tidak terdistribusi secara merata sehingga tingkat keterwakilan spasialnya masih terbatas. Asimilasi curah hujan dengan data penakar hujan dapat dilakukan dengan metode Brandes Spatial Adjusment (BRA). Metode BRA memerhatikan jarak antara grid point dengan penakar hujan. Berdasarkan hasil penelitian diperoleh bahwa metode tersebut dapat mengurangi kesalahan estimasi namun tidak secara signifikan mengurangi kesalahan estimasi curah hujan.
A numerical simulation of PM2.5 concentration using the WRF-Chem model during a high air pollution episode in 2019 in Jakarta, Indonesia Rista Hernandi Virgianto; Rayhan Rivaniputra; Nanda Putri Kinanti; Agung Hari Saputra; Aulia Nisaul Khoir
International Journal of Advances in Applied Sciences Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (860.751 KB) | DOI: 10.11591/ijaas.v11.i4.pp335-344

Abstract

Jakarta, as a megapolitan city, is always crowded with thousands of vehicles every day which results in decreased air quality due to combustion emissions and may have a significant impact on human health. Particulate matter (PM2.5) is a pollutant that has an aerodynamic diameter of fewer than 2.5 micrometers and is very easy to enter the human respiratory system so it can affect health. In the dry season, rain as the main natural mechanism for reducing PM2.5 occurs very rarely, causing an accumulation of PM2.5 concentrations in the atmosphere. The weather research and forecasting model coupled with the chemistry (WRF-Chem) model is a dynamic model that works with atmospheric chemistry combined with meteorological variables simultaneously. This study aims to simulate the concentration of PM2.5 in Jakarta during the high air pollution episode from 20 to 29 June 2019 with the WRF-Chem model based on the T1-MOZCART chemical scheme. Spatial analysis was conducted to determine the distribution of PM2.5 concentrations during high air pollution episodes in Jakarta. Validation of the simulation model was based on three observation sites, one in South Jakarta and two in Central Jakarta. The results showed that the highest correlation is 0.3 and the lowest root mean square error (RMSE) is 26.4, while the simulations still tend to overestimate the PM2.5 concentration.
Optimalisasi Edukasi Informasi Geohidrometeorologi Untuk Masyarakat Perkotaan (Studi Kasus: Kelurahan Jurang Mangu Timur, Kecamatan Pondok Aren, Kota Tangerang Selatan, Banten) Giarno Giarno; Agung Hari Saputra; Agustina Rachmawardani
To Maega : Jurnal Pengabdian Masyarakat Vol 5, No 3 (2022): Oktober 2022
Publisher : Universitas Andi Djemma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/tomaega.v5i3.1294

Abstract

Indonesia merupakan daerah rawan terhadap bencana hidrometeorologi, gempa bumi dan tsunami. Sebagai bagian dari Wilayah Indonesia, Kelurahan Jurang Mangu Timur, Kecamatan Pondok Aren, Kota Tangerang Selatan, Propinsi Banten merupakan tempat yang rawan banjir, terutama dengan perkembangan pemukiman yang sangat pesat sehingga merubah penggunaan lahan. Badan Meteorologi Klimatologi dan Geofisika (BMKG) sebagai lembaga yang berupaya menyediakan informasi peringatan dini sebelum kejadian bencana geo-hidrometeorologi. Namun demikian masih terdapat gab antara informasi yang disediakan, dengan akses dan pemahaman yang ada di masyarakat. Berdasarkan missing link tersebut, maka perlu adanya suatu upaya untuk memberikan pemahaman lebih baik lagi. Tujuan penelitian ini adalah meningkatkan optimalisasi informasi peringatan dini ini terutama di daerah perkotaan. Untuk menggali pemahaman masyarakat dilakukan melalui edukasi secara offline maupun online mengikuti perkembangan masyarakat perkotaaan yang terbiasa menggunakan sarana tersebut. Berdasarkan hasil survey menunjukkan pengetahuan masyarakat akan lembaga yang menangani bencana masih sangat kurang, dimana BMKG dan Sekolah Tinggi Meteorologi, Klimatologi dan Geofisika (STMKG) berturut-turut 49% dan 39%. Ketidaktahuan akan kedua lembaga ini sebanding dengan disinformasi terhadap istilah-istilah geohidrometeorologi terlihat dari jawaban responden pada pertanyaan-pertanyaan kejadian tornado, tsunami, gelombang panas, perubahan iklim, fenomena cuaca dingin, cuaca panas,  dan hubungan virus covid dengan cuaca panas yang dipahami kurang tepat.
PEMETAAN ZONA RAWAN BANJIR DI JAKARTA MENGGUNAKAN ANALYTIC HIERARCHY PROCESS (AHP) Azwar Makarim Aldimasqie; Agung Hari Saputra; Sirly Oktarina
Jurnal Environmental Science Vol 5, No 1 (2022): Oktober
Publisher : UNIVERSITAS NEGERI MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (977.505 KB) | DOI: 10.35580/jes.v5i1.35759

Abstract

Hujan yang turun sebagian besar terinfiltrasi ke dalam tanah, dan sebagian lainnya akan menjadi banjir khususnya di wilayah Jakarta. Banjir dipengaruhi oleh beberapa faktor seperti curah hujan, tata guna lahan, kemiringan lahan, jenis tanah, geologi, dan kerapatan drainase. Faktor-faktor tersebut akan dikelompokkan dalam penelitian ini untuk mengetahui faktor yang berpengaruh terhadap banjir di Jakarta. Pengelompokan faktor dilakukan menggunakan teknik Analitik Hierarki Proses (AHP) dan Sistem Informasi Geografis (SIG), untuk memproyeksikan wilayah rawan banjir di Jakarta. Hasil menunjukkan faktor yang paling berpengaruh adalah curah hujan terhadap rawan banjir sekitar 40,54%. Sementara faktor yang memiliki pengaruh terkecil pada rawan banjir yaitu tata guna lahan sekitar 5,27%. Wilayah Jakarta memilki kerawanan yang sedang terhadap banjir dengan luas sebaran sekitar 296,19 km2, dimana wilayah yang rentan terhadap banjir berada di Jakarta Selatan dan Jakarta Timur
THE ANALYSIS OF LAPSE RATE PROFILE IN THE SITE CANDIDATE OF NUCLEAR POWER PLANT (NPP) AT GOSONG BEACH, BENGKAYANG REGENCY– WEST KALIMANTAN Deni Septiadi; Agung Hari Saputra; Rista Hernandi Virgianto; Arif Yuniarto; Muhammad Elifant Yuggotomo
Jurnal Sains dan Teknologi Nuklir Indonesia (Indonesian Journal of Nuclear Science and Technology) Vol 23, No 1 (2022): February 2022
Publisher : HIMNI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jstni.2022.23.1.6578

Abstract

The lapse rate profile in the site candidate for the Nuclear Power Plant (NPP) at Gosong Beach Bengkayang, has been investigated to obtain a description of the lability of the atmosphere and upper air as part of a meteorological aspect safety study in the plan to develop a NPP site. The study of the lapse rate was carried out using air data on the reanalysis of the Global Data Assimilation System (GDAS) by extracting air temperature data at each altitude level so as to obtain a lapse rate of up to 25 km. Daily data was processed during 2021 and transformed in the monthly average profile data to describe the lapse rate profile in January – December 2021. Tropopause was identified with average altitude about 16.6 km and stratosphere at 20.5 km with a lapse rate about -0.21 ℃/100 m. The surface layer to 200 m have lapse rate from 0.7 ℃/100 m - 0.9 ℃/100 m at 00.00 Universal Time Coordinated (UTC) and 0.5 ℃/100 m -0.6 ℃/100 m at 12.00 UTC
IMPLEMENTASI TEKNOLOGI PENGINDERAAN JAUH BERBASISDUAL DOPPLER RADAR SEBAGAI UPAYA MITIGASI ASAP KARHUTLA Muhammad Panji Rosyady; Agung Hari Saputra; Titis Angger Pangestu; Ashifa Putri
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

During 2018, forest and land fires that occurred in the Banjarbaru area were recorded to the tune of 98,637hectares. The incident caused in the occurrence of smog that could harm the environment and human health. Direct and continuous monitoring of haze is needed by the community and government in providing early warning information related to haze of forest and land fires. Detection of haze from forest and land fires can be done by one of the remote sensing system, called the weather radar. However, for the detection of smoke haze from forestand land fires using weather radar is necessary to pay attention to the quality of radar data and the range of observations. Therefore, to improve the quality of weather radar data, clutter correction is used. In addition, it also can be used dual doppler method to increase the range of detection when smoke haze happen. This research was conducted on 12, 17 and 27 September 2018 in the Banjarbaru area using weather radar data, ME48 data, and hotspot data. This study aims to determine the application of the dual doppler method as well as the spatial and temporal characteristics of land fire smoke distribution. The results showed that the minimum visibility reached 10 m at the time of the haze of forest and land fires. Observation of haze of forest and land fires usingweather radar indicates the presence of smoke echo with a reflectivity value of -6 - 13 dBZ with smoke height reaching 2 km with the direction of smoke distribution moving from southeast to northwest.
Co-Authors Agustina Rachmawardani Arief Yuniarto Arif Yuniarto Arno, Giarno Ashifa Putri Aulia Nisaul Khoir Azwar Makarim Aldimasqie Deni Septiadi Indah Sary Muhammad Elifant Yuggotomo Muhammad Panji Rosyady Nanda Putri Kinanti Novvria Sagita Nur Riska Lukita Rayhan Rivaniputra Rima Novianti Rista Hernandi Virgianto Sirly Oktarina Sirly Oktarina Titis Angger Pangestu Yudistira, Ricko