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Buletin GAW Bariri ( BGB)

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Published by Stasiun Pemantau Atmosfer Global Lore Lindu Bariri

ISSN : 27217752 EISSN : 27219704 DOI : https://doi.org/10.31172/bgb.v3i1

Core Subject : Science, Agriculture, Social,

Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Earth & Planetary Sciences Environmental Science

Buletin GAW Bariri (BGB) merupakan buletin karya tulis ilmiah yang diterbitkan oleh Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu BMKG sebagai sarana publikasi hasil penelitian dan kajian di bidang Meteorologi, Klimatologi, Kualitas Udara, dan Geofisika (MKKuG), serta Lingkungan.

Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)

Articles 53 Documents

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Cover Buletin dan Daftar Isi Solih Alfiandy
Buletin GAW Bariri Vol 2 No 1 (2021): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

e-ISSN 2721-9704 | p-ISSN 2721-7752 Penulis Buletin GAW Bariri Vol 2 No 2 berasal dari sejumlah afiliasi sebagai berikut: Stasiun Pemantau Atmosfer Global Puncak Vihara Klademak - Sorong, BMKG Stasiun Klimatologi Manokwari, BMKG Pusat Database, BMKG Program Studi Meteorologi, Sekolah Tinggi Meteorologi Klimatologi dan Geofisika (STMKG) Pusat Penelitian dan Pengembangan, BMKG Stasiun Klimatologi Konawe Selatan, BMKG Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu, BMKG Stasiun Klimatologi Seram Bagian Barat, BMKG

Pemetaan Prakiraan Potensi Banjir di Papua Barat Menggunakan Model Builder Dalam Aplikasi Sistem Informasi Geografis (SIG) Shelin Melinda; Nuryanto; Adriansyah
Buletin GAW Bariri Vol 2 No 2 (2021): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Flood is a hydrometeorological disaster that often occurs in Indonesia. One of the causes of flooding is caused by extreme rainfall >100mm/day. West Papua Province is one of the regions in Indonesia that has a high intensity of rainfall throughout the year, making it vulnerable to potential flooding. To make it easier for people to know areas that have the potential for flooding, information such as a map of potential floods is needed. The use of Geographic Information Systems (GIS) in making flood potential maps can be useful for the community and certain institutions to make policies in flood disaster management. In this study to create a flood potential map, a software application, namely ArcGIS, is used, where in the software there are several tools that can be used to create command models, one of which is the model builder. The model builder then produces a spatial map output in the form of a flood potential forecast map in West Papua Province. From the results of regional mapping in West Papua Province, there are several regions or regencies in West Papua Province that have the potential for flood–prone areas in the Low – High category. The high intensity of rainfall in some areas or districts in West Papua has a high potential for flooding, especially in Sarong and Manokwari. Making this model builder can then be developed and can be used easily with modifications using Python.

Pengaruh Angin Permukaan dan Kelembapan Udara Terhadap Suspended Particulate Matter (SPM) di Sorong Periode Januari – Juli 2019 Nuryanto; Haris Munandar Gultom; Shel Melinda
Buletin GAW Bariri Vol 2 No 2 (2021): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Sorong has the characteristics of a dense population, high community mobility, and the growth of motorized vehicles. The increasing rate of mobility in Sorong has the potential to increase air pollution as well. One of the air pollution measured by the Global Atmosphere Watch (GAW) Sorong Station is Suspended Particulate Matter (SPM). SPM is solid and liquid particles that float in the air for a relatively long period of time, then the presence of meteorological parameters also plays an important role in increasing and pollutant sources in Sorong. This study aims to determine the level of SPM concentration, determine the source of SPM pollutants, and determine meteorological factors in the form of air humidity (RH), wind direction and speed on SPM concentrations. The results of the measurement of SPM concentration in Sorong are still in the very safe category because the concentration value is far from the quality standard value set by the government, with a value ranging from 16.04 – 30.44 ug/m3 per month. Judging from the source, the SPM particles in Sorong come from all directions. The results of the correlation of meteorological parameters with SPM concentration show that there is no significant relationship between humidity and SPM concentration, but there is a fairly strong relationship between wind speed and SPM concentration, with a correlation value of 0.766.

Pola Spasial Tingkat Rawan Kekeringan Hidrologis Pada Lahan Padi di Kota Semarang: - Galih Langit Pamungkas; Zaki Kresna Andika
Buletin GAW Bariri Vol 2 No 2 (2021): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Semarang City has various kinds of superior commodities, one of which is the rice fields. However, the danger of lack of groundwater availability due to hydrological drought has always been a major problem for the quality of rice production. Therefore, this research aims to determine the distribution of groundwater availability in the area of Semarang City which is suitable for rice crops. The weighted drought hydrology method used in this study is a new applied method in Semarang with Thornthwaite – Matter method to see the amount of groundwater available each month by its rainfalls. Other data used are physical data of land and elevation. The results show that the level of mild drought prone (<16.77%) in Semarang City occurs in the southern area of the city in January, February and March. Meanwhile, severe drought – prone areas (>33.33%) occurs in the northern area of Semarang City in August, September and October. So, we know that the southern area of Semarang City is more suitable for rice production than the northern area of the city.

Dampak La Nina 2020 – 2021 Terhadap Curah Hujan di Sulawesi Tenggara Siti Risnayah
Buletin GAW Bariri Vol 2 No 2 (2021): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

To determine the effect of La Nina in 2020/2021 on rainfall in Southeast Sulawesi, an analysis of its impact was carried out. 2020 is the year of Moderate La Nina where begins to be active in July when the Southeast Sulawesi region enters the dry season. The data used in this study are rainfall data for 2020-2021, normal data of rainfall and onset season, rainfall anomaly from ITACS, and the Nino3.4 index. Descriptive and statistical analysis methods are used to interpret the graph and describe how La Nina affects rainfall in Southeast Sulawesi. The results showed that La Nina that occurred from 2020 to 2021 was less significant in increasing rainfall in the Southeast Sulawesi region. There are 58% of the research area has decreased rainfall during the La Nina period with an average reduction of 37% from its normal. This rainfall deficit is because the La Nina in 2020/2021 is a La Nina in the Weak to Moderate category so that it is less significant to stimulate an increasing rainfall. La Nina also had less impact on the 2020 dry season in Southeast Sulawesi but had quite impactful on advancing the onset of the rainy season. That is because, during the dry season, La Nina is still in the Weak category. La Nina begins to strengthen in the October-November-December period so that the rainy season generally begins in November.

Kajian Identifikasi Penurunan Tren Curah Hujan, CDD dan CWD di Kota Kupang, Nusa Tenggara Timur Wendel Jan Pattipeilohy; Destan Saktrianus Beis; Agus Sabana Hadi
Buletin GAW Bariri Vol 3 No 1 (2022): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Changes in rainfall can cause a shift in the beginning of the dry season and the rainy season which can have an impact on various sectors, especially agriculture. Therefore, it is necessary to study climate change in the Kupang region, East Nusa Tenggara (NTT) through time series analysis of rainfall which can be identified by trend analysis and Probability Density function (PDF). This study aims to identify the trend pattern of the rain fraction, rainy days (HH), Consecutive Dry Days (CDD) Consecutive Wet Days (CWD) and the distribution of rainfall data in the 1991–2020 (30 years) period in the city of Kupang. The rainfall data used is observational rainfall data at the Kupang Climatology Station. Analysis of annual rainfall trends and rainy days showed an increase in the incidence of rainfall in the low category (0–20 mm)/day. While in the category of rain > 20mm / day it decreased, this caused the trend of the 20mm, 50mm and 100mm rain fractions in Kupang to be negative. The phenomenon of ENSO (El Niño and La Nia) affects the pattern of CDD and CWD in the city of Kupang, CDD and CWD trend analysis shows a downward trend of 0.4496 days / year and 0.054 days / year. PDF of the rainfall during the DJF period in Kupang city shows a significant change in the last 20 years and the chance of 5 rainy days in Kupang city is very high.

Kajian Analisis Spasial Penentuan Tipe Iklim Menurut Klasifikasi Schmidt – Ferguson Menggunakan Metode Thiessen – Polygon di Provinsi Riau Edi Rahmanto; Sabila Rahmabudhi; Tia Kustia
Buletin GAW Bariri Vol 3 No 1 (2022): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

The pattern diversity of climatic elements is very important in determining climate classification. There are various types of climate classification systems used in Indonesia, one of which is the Schmidt–Ferguson climate classification. The climate classification according to Schmidt–Ferguson is more suitable for use in the plantation sector, because it has advantages such as being suitable for tropical areas, paying close attention to temperature fluctuations, simple data analysis and suitable for the whole world. This study aims to identify climate types and map climate types spatially based on the Schmidt–Ferguson climate classification. The climate identification process is combined with a geographic information system (GIS), so that climate types can be displayed in the form of a spatial mapping based on climate type. The method used is the Thiessen Polygon method, then mapped spatially using Arcview software version 10.4.1. From the analysis and mapping, it was found that based on the Schmidt–Ferguson climate classification, Riau Province has 4 climate types, namely climate type B (wet), climate type A (very wet), climate type C (half wet), and climate type D (moderate). In general, Riau Province has a type B climate, which is included in an area with tropical rain forest vegetation with a wet climate, generally suitable for dense trees such as palm trees. This is in line with the condition of plantations in the Province, where most of the area is fertile and overgrown with oil palm plantations.

Prediksi Kecepatan Angin 12 Jam Kedepan Menggunakan Automatic Weather Observing System (AWOS) Berbasis Regresi Linear Muhammad Ryan; Solih Alfiandy
Buletin GAW Bariri Vol 3 No 2 (2022): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v3i2.63

Automatic equipment for monitoring weather conditions such as the Automatic Weather Observing System (AWOS) is urgently needed by a meteorologist for the purposes of serving aviation weather services at airports. One of the most important information besides the weather for flight services is wind speed. This study integrates AWOS and linear regression models to predict wind speed parameters for the next 12 hours. These parameters are the lowest, average, and highest wind speed. The computational load required for building and training the proposed model system is determined by the duration the computer executes the model training commands and generates predictions. The wind speed hours ahead is assumed to be influenced by the condition of the previous weather parameters. Therefore, in this study, a scheme was tested using the length of historical data of different weather parameters to predict the wind speed parameters for the next 12 hours. The predictions generated are in summary form, i.e., the lowest speed, average speed and highest speed in that period. After testing it was found that the duration of the computer to train the model is 1.2 seconds and to generate predictions is 1.1 seconds. Meanwhile, the best scheme for generating predictions is linear regression with a predictor of 12 hours which produces an RMSE error of 0.63, 1.14, and 3.07 for the lowest wind speed, average wind, and highest wind respectively. These results indicate that the proposed model only requires a light computational load and can produce accurate predictions of wind speed parameters for the next 12 hours.

Kondisi Pencemaran Udara pada Saat Periode Lebaran 2022 di Wilayah Jakarta Nur Faris Prih Waryatno; Nanda Putri Kinanti; Taryono
Buletin GAW Bariri Vol 3 No 2 (2022): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v3i2.68

Particulate Matter is part of air pollution and as an indicator of air pollution in an area that can cause environmental damage and health problems in living things. The reduction of human activities in the DKI Jakarta area during big days such as during the Eid holidays is suspected to make air quality below the threshold value during normal conditions. So this research aims to determine the condition of air quality, especially particulates during the period before, during and after Eid al – Fitr 2022 in the Jakarta area. The PM2.5 concentration data used is observation data at BMKG observation points in Kemayoran and Airnow (Gambir, Kebayoran), while the rainfall data used is BMKG observation post data in Kemayoran and South Jakarta. The method used in this study is descriptive analysis. From the results of the analysis, it was found that the PM2.5 observation location showed a high concentration value one day before Eid which was related to the increase in motor vehicle use. However, there was a decrease in PM2.5 concentrations during Eid and one day after Eid, this was related to the decrease in the use of motor vehicles in the region and was accompanied by rain events that acted as washing the atmosphere. In the Kebayoran Baru – South Jakarta area, the highest concentration decreased by up to 51%.

Verifikasi Luaran HyBMG saat Kejadian El Niño dan La Niña di Jawa Timur Linda Fitrotul Muzayanah; Andang Kurniawan; Sudirman
Buletin GAW Bariri Vol 3 No 2 (2022): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v3i2.69

BMKG’s Research and Development Center has developed a time series model prediction for climate forecasts as an anticipatory step in minimizing the impact of hydrometeorological disasters, both drought and wet conditions, namely Hybrid BMG (HyBMG). The performance of the HyBMG prediction model for the East Java region is tested using a verification method based on the percentage accuracy of the monthly rainfall categories based on SNI 8196:2015. The data used is the HyBMG monthly rainfall forecast data (ARIMA, ANFIS, WAVELET–ARIMA, and WAVELET–ANFIS) lag 0 to 11 from 197 observation points in East Java from August 2010 to April 2020. New data are added before HyBMG is re – run. The forecasting process is based on a simulation mechanism to copy what really happened at the operational level. Blank data were filled using IDW interpolation. Furthermore, the temporal analysis process is conducted for Neutral, El Niño, and La Niña. ENSO condition determined using ONI. The results of histogram analysis show that all four of the HyBMG methods do not indicate any improvement although updating data is applied. Meanwhile, ARIMA verification is at an average of 60 % with the other methods being lower than it. Generally, the verification of HyBMG’s outputs for La Niña episode is below 60% meanwhile for El Niño episode, only reaches 60 –70 %.

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Solih Alfiandy

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Solih Alfiandy

Contact Email solihalfiandy@gmail.com

Phone +6281298885453

Journal Mail Official buletingawbariri@gmail.com

Editorial Address Jl. Sapta Marga No.1, Birobuli Utara, Kec. Palu Selatan, Kota Palu, 94231, Provinsi Sulawesi Tengah

Location Kota palu, Sulawesi tengah INDONESIA

Abstract

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Abstract

Abstract

Contact Name
Solih Alfiandy

Contact Email
solihalfiandy@gmail.com

Phone
+6281298885453

Journal Mail Official
buletingawbariri@gmail.com

Editorial Address
Jl. Sapta Marga No.1, Birobuli Utara, Kec. Palu Selatan, Kota Palu, 94231, Provinsi Sulawesi Tengah

Location
Kota palu,

Sulawesi tengah

INDONESIA