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INDONESIA
Jurnal Meteorologi Klimatologi dan Geofisika
Published by Sekolah Tinggi Meteorologi Klimatologi dan Geofisika
ISSN : 23557206     EISSN : 25988190     DOI : -
Core Subject : Science, Education, Social,
Astronomy Earth & Planetary Sciences Environmental Science Mathematics Physics
Journal of Meteorology Climatology and Geophysics (Journal of MKG) is a scientific journal as a means of communication to report the results of research in the field of meteorology, climatology, air quality, geophysics, environment, disaster, and related instrumentation. This scientific journal is published every four months of the year.
Arjuna Subject : -
Articles 107 Documents
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ANALISIS TINGKAT RISIKO DAN KERENTANAN BAHAYA GEMPA BUMI DI KOTA SURABAYA DALAM UPAYA PEMBERIAN INFORMASI MITIGASI BENCANA Ulfa Nur Silvia; Afra Kansa Maimuna
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.v7i3.204

Abstract

Surabaya segment and Waru segment, part of Baribis-Kendeng Fold Thrust Zone that passes through Surabaya City potentially affected by earthquake hazard in the future with high population that settled there and high number of buildings. The impact of earthquake hazard can be decreased by Peak Ground Acceleration (PGA), high population density, and buildings analysis as an action of mitigation. PGA value calculated by McGuire empirical formula (1974, 1977) using historical data of earthquake in the past 50 years and the result of this value among 33,991 -29,8194 gal, this result classified as low frequency related to MMI scale that released by BMKG. The map result of PGA that related to spatial data of high population and high buildings in the Surabaya conclude that east side of Surabaya has a very high risk of earthquake vulnerability.
PERUBAHAN LAMA PENYINARAN MATAHARI TAHUN 1990-2019 DI KALIMANTAN BARAT Muhammad Elifant Yuggotomo; Evi Gusmayanti; Dadan Kusnandar
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.v7i3.210

Abstract

The sun is a source of renewable energy relating to climate change. Sunshine Duration (SD) is the element to an important indicator of the sun. West Kalimantan is located in the equator area receiving sunlight most of the year. This study aims to identify change in SD in West Kalimantan. The variable used is the average SD data from 1990 to 2019 divided into three time periods at five stations representing monsoon and equatorial rain patterns in West Kalimantan. ANOVA and Tukey tests are used for statistical analysis. The highest average SD is at Ketapang Station. The average annual SD in the monsoon region is higher than the equatorial region. In the dry season, the average monthly SD is higher than during the rainy season. There was an anomaly SD in the dry season in 1997 due to forest and land fires which corresponds to the El Nino event. The time period of the decade has a real effect on the average annual SD at Sambas and Supadio Pontianak Station. The average SD in 2010-2019 at Sambas Station and Supadio Pontianak Station was higher than the previous year's period. SD is an important factor for measuring solar energy, so the change shows good availability as a renewable energy source in West Kalimantan.
ANALISIS PENGARUH MADDEN JULIAN OSCILLATION TERHADAP PROPAGASI DAN DISTRIBUSI TEMPORAL HUJAN BERDASARKAN PENGAMATAN CITRA SATELIT DI WILAYAH BENGKULU TAHUN 2018 Rizky Umul Nisa Fadillah; Yosafat Donni Haryanto; Nelly Florida Riama
Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 1 (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.v7i1.211

Abstract

Madden Julian Oscillation (MJO) is a phase that produces variations in several parameters of the atmosphere and oceans which is indicated by the increase of rainfall in the area it passes through. Bengkulu region is the closest area to the initial area of the formation of the MJO. This study aims to determine the value of the connectivity as well as the propagation and temporal distribution of rain in the Bengkulu region during the active MJO period in phase 3 to phase 5 based on satellite imagery observations as well as the increase and decrease in rainfall in the Bengkulu region. Based on the descriptive analysis, it shows a weak convective state at 00 UTC and a strong convective at 12 UTC accompanied by rainfall propagation which is seen in phase 3 moving from west to east with changes in rainfall intensity at each active MJO phase from the Fatmawati Class III Meteorological Station Bengkulu, Bengkulu Class I Climatology Station and Kepahiang Bengkulu Class III Geophysical Station. From the observed phase period, the rainfall propagation pattern was seen in phase 3 and was followed by an increase in rainfall intensity, while in phases 4 and 5 there was a decrease in rainfall intensity that occurred in the Bengkulu region. MJO also has an effect on the increase in rainfall in the land area and waters of Bengkulu in phase 3 and phase 4. In phase 5 the decrease in rainfall occurs in the mainland area of ​​Bengkulu while the increase in rainfall occurs in Bengkulu waters
EASYWAVE UNTUK PERAMALAN DATA GELOMBANG LAUT BERBASIS PEMOGRAMAN PYTHON DENGAN METODE SVERRUP, MUNK AND BRETSCHNEIDER (SMB) (Studi Kasus : Perairan Sungairaden, Kalimantan Timur) Ghifari Raihan Silam; Sekar Adiningsih; Yoas Heryanto
Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 1 (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.v7i1.212

Abstract

Manual ocean wave data forecasting takes a long time so automation is needed to increase time efficiency. Easywave is an algorithm written in Python programming language and can be used to analyse data including ocean wave forecasting using SMB method. The data that used is the wind speed component for 4 seasons from January 2008 until December 2018 which downloaded through the forecast data provider site from European Centre for Medium-Range Weather Forecasts (ECMWF). The research location is adjusted with the location of the comparative data to perceive the accuracy of the constructed algorithm through comparison result with field observation data, which located in Sungairaden, Sub-District of Samboja, District of Kutai Kartanegara, East Kalimantan Province . The forecasting result shows the significant wave height (Hs) and the significant wave period (Ts) for West season, Fisrt Transition season, East season and Second Transition season are 0,55 m; 0,54 m; 0,79 m; 0,76 m and 3,85 s; 3,81 s; 4,61 s; 4,51 s. The wave height that will be formed when the wave moves towards shallow water is obtained a value of 0,576; 0,564; 0,887; and 0,846 meter. The wave energy flux that occurs in each season is 0,74; 0,70; 2,11; 1,92 kW/m
PENENTUAN INDEKS IKLIM MENGGUNAKAN METODE HISTORICAL BURN ANALYSIS UNTUK ASURANSI PERTANIAN DI KABUPATEN BREBES Hasalika Nurjannah; Agus Safril
Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 1 (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.v7i1.213

Abstract

Agricultural insurance is a form of adaptation that farmers can do to deal with extreme climate such as drought. Climate index insurance is one of agricultural insurance that uses climate parameter to determine payment for farmers. Climate parameter which is used in this analysis is rainfall and conducted in Brebes Regency. The analysis uses rainfall data in millimeters (mm) during decade days that calculated in area which has same rainfall pattern called ZOM, from 2008 to 2018. The result of climate index analysis using Historical Burn Analysis produce two values, namely trigger value and exit value. Trigger and exit value determine how much payment for the insurance claim based on rainfall data, which trigger is the threshold for the payment of insurance claim while exit value is the threshold for full payment. The results showed that in ZOM 95 trigger value is 18.7 mm and exit value is 4 mm, in ZOM 96 trigger value is 18.3 mm and exit value is 1.3 mm, in ZOM 97 trigger value is 19.8 mm and exit index is 3.5 mm, in ZOM 103 trigger value is 14.8 mm and exit value is 3.0 mm, in ZOM 105 trigger value is 26.3 mm and exit value is 8.0 mm. The value of trigger and exit is valid in window period, which starts from July to September.
ANALISIS PERGERAKAN DAN AKUMULASI COULOMB STRESS GEMPA UTAMA LOMBOK SELAMA TAHUN 2018 DAN PENGARUHNYA TERHADAP AKTIVITAS GUNUNG RINJANI Lasroha Marulitua Panjaitan; Erlangga Ibrahim Fattah; Cahli Suhendi; Rizki Wulandari; Hana Yudi Perkasa
Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 1 (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.v7i1.215

Abstract

Mechanically, earthquakes can be triggered by changes in static and dynamic stress. In terms of static stress change, it occurs when earthquake energy is released which then changes the stress conditions around the fault (for example at the end of the fault). The process of changing static stress in an area will cause seismic activity to occur in the surrounding area and in other areas with a great distance. The amount of change in Coulomb Failure stress (∆CFS) is quantifiable and has proven to be a powerful tool in explaining the movement and accumulation of stress caused by the mainshock and its aftershock. This study was conducted to calculate the distribution of stress changes due to the main Lombok earthquake (Mw≥6) during 2018 and its effect on Mount Rinjani activity, using the Coulomb 3.3 software. The earthquake data used were taken from the earthquake catalog of Global Centroid Moment Tensor (GCMT), International Seismological Center (ISC) and United States Geological Survey (USGS). The lateral difference in the value of ∆CFS shows the movement of energy from the main earthquake that triggered another earthquake as shown by the aftershock data. The results of this analysis of the movement and accumulation of ∆CFS will be used to identify the correlation with the activity of Mount Rinjani.
PENGARUH ENSO TERHADAP VARIASI TAHUNAN PARTIKULAT HALUS (PM2,5) Nani Cholianawati; Haries Satyawardhana; Dessy Gusnita; Waluyo Eko Cahyono
Jurnal Meteorologi Klimatologi dan Geofisika Vol 7 No 1 (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.v7i1.216

Abstract

PM2,5 is a particle that is very small (diameter <2.5 μm) and tends to last long enough in the air. If the particles are inhaled, humans can endanger the respiratory system. One of the main sources of PM2.5 is burning of vegetation. This study analyzes the annual variation of PM2,5 in the Indonesian region and studies the effect of ENSO on the variation of PM2,5. Besides that, it was also studied the relation of ENSO to these variations. For 17 years (1999 to 2015), PM2.5 showed the highest annual average in 2015 in Indragiri Hulu Regency (Riau Province) of 81 µg / m3 far compared to Indonesia's annual PM2.5 standard of 15 μg / m3. The occurrence of land fires is a source of PM2.5 in the eastern part of Sumatra (Riau Province, South Sumatra, and Jambi) and central Kalimantan. The north coast of Java also has PM2.5 which is high every year. The locations with the highest PM2.5 in the region are in Indramayu Regency, around 17 to 28 μg / m3. During El Nino (2002, 2006 and 2015), annual PM2.5 concentrations increased significantly, while during La Nina (1999, 2007, 2010), PM2.5 concentrations decreased.

Page 11 of 11 | Total Record : 107

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