Jurnal Meteorologi dan Geofisika最新文献

{"title":"ANALISIS FENOMENA URBAN HEAT ISLAND BERDASARKAN TUTUPAN LAHAN DI KOTA PEKANBARU","authors":"Aryo Sasmita, Lita ' Darmayanti, Iqbal Perdana Putra","doi":"10.31172/jmg.v24i2.710","DOIUrl":"https://doi.org/10.31172/jmg.v24i2.710","url":null,"abstract":"Kota Pekanbaru sebagai ibukota Provinsi Riau memiliki aktivitas pembangunan yang tinggi seiring dengan meningkatnya kepadatan penduduk akibat urbanisasi, sehingga berakibat pada pada berkurangnya lahan vegetasi. Kondisi ini menyebabkan meningkatnya temperatur permukaan di Kota Pekanbaru terutama di daerah pusat kota dan memicu terjadinya fenomena Urban Heat Island (UHI). Penelitian ini bertujuan untuk mengetahui sebaran temperatur permukaan dan mengidentifikasi fenomena UHI di Kota Pekanbaru sehubungan dengan perubahan tutupan lahan menggunakan metode Normalized Difference Vegetation Index (NDVI) dari tahun 2013-2018. Ekstraksi temperatur permukaan dan tutupan lahan diperoleh dari citra Landsat 8. Hasil penelitian menunjukkan Kota Pekanbaru sudah mengalami fenomena UHI sejak tahun 2013, sedangkan sebaran temperatur permukaan Kota Pekanbaru tahun 2013-2015 didominasi oleh ketogori temperatur tinggi (33-35oC), tahun 2016-2017 didominasi oleh kategori temperatur sedang (30-33oC), dan tahun 2018 kembali didominasi oleh temperatur tinggi. Untuk tren perubahan tutupan lahan di Kota Pekanbaru dari tahun 2013-2018 kategori hutan campuran relatif selalu menduduki urutan pertama dengan persentase lebih dari ≥50%, hanya citra tahun 2013 yang berbeda, dimana mayoritas tutupan lahan yang paling luas pada tahun 2013 adalah kategori tutupan padang rumput dan semak belukar, hal ini dikarenakan adanya gangguan atmosferik pada daerah yang memiliki kategori tutupan lahan hutan campuran, sehingga kategori tutupan lahan jenis hutan campuran teridentifikasi lebih sedikit dibandingkan dengan kategori padang rumput dan semak belukar.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prekursor MJO-Crossing (MJO-C) dan MJO-Blocking (MJO-B) di Benua Maritim Berdasarkan Transpor Kelembapan","authors":"Akhmad Fahim, Nurjanna Joko Trilaksono","doi":"10.31172/jmg.v24i2.906","DOIUrl":"https://doi.org/10.31172/jmg.v24i2.906","url":null,"abstract":"Penelitian mengenai propagasi MJO yang terhalang saat melewati Benua Maritim merupakan permasalahan yang kompleks. Penelitian kali ini bermaksud untuk mengetahui prekursor kejadian MJO-Crossing (MJO-C) dan MJO-Blocking (MJO-B) ditinjau dari analisis transpor kelembapan. Analisis Hovmöller pada kejadian MJO-C dan MJO-B dilakukan menggunakan data curah hujan satelit TRMM (3B42v7) periode bulan ONDJFM tahun 1998-2015 untuk melihat karakteristik propagasi MJO-C dan MJO-B. Perbedaan propagasi MJO-C dan MJO-B, diinvestigasi lebih lanjut menggunakan data kelembapan spesifik dan medan angin ERA-Interim ECMWF untuk mengetahui kondisi sumber pasokan uap air serta struktur vertikal kelembapan spesifik MJO-C dan MJO-B. Selanjutnya, dilakukan analisis lebih rinci dengan melihat pola divergensi angin di ketinggian 700 hPa. Hasil penelitian menemukan bahwa pada kondisi prekursor tepatnya periode 15 hari hingga 5 hari sebelum kejadian MJO (day -15 hingga day -5), terdapat pelemahan suplai kelembapan pada kejadian MJO-B yang disebabkan oleh adanya anomali kering (dry anomaly) yang berpropagasi ke barat dari Samudra Pasifik menuju wilayah Benua Maritim Indonesia (BMI). Kondisi anomali kering ini bercampur dengan anomali lembap MJO (moist anomaly) yang berakibat pada pengurangan intensitas kelembapan sehingga menghambat propagasi MJO melintasi wilayah BMI. Fenomena anomali kering yang berpropagasi ke barat mengindikasikan adanya pengaruh gelombang Equatorial Rossby (ER) terhadap propagasi MJO melintasi BMI.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140235160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MEMBANGKITKAN DATA CUACA HARIAN DARI DATA BULANAN: STUDI KASUS SULAWESI UTARA","authors":"Eko Supriyadi","doi":"10.31172/jmg.v24i2.718","DOIUrl":"https://doi.org/10.31172/jmg.v24i2.718","url":null,"abstract":"Permasalahan utama ketika berhadapan dengan data cuaca adalah keterbatasan data harian. Paper ini menjelaskan teknik sederhana membangkitkan data cuaca harian dari data bulanan memanfaatkan pengamatan sinop dari Stasiun Klimatologi Minahasa Utara (1989-2014). Metode utama penelitian ini memanfaatkan fungsi logit, Fourier, dan gamma. Diperoleh hasil bahwa curah hujan hasil bangkitan menunjukan pola serupa dengan observasi serta dari uji statistika menunjukkan hasil tidak berbeda nyata (p<0.000), akan tetapi korelasi yang dihasilkan bernilai rendah (0.33–0.49). Berdasarkan pembagian musim, baik curah hujan bangkitan maupun observasi, bernilai tinggi pada musim DJF lalu menurun di MAM dan JJA kemudian naik di musim SON. Selain itu terdapat perbedaan curah hujan bangkitan dengan observasi disebabkan penggunaan bilangan acak sebaran uniform yang cenderung mengabaikan kekhasan waktu. Selanjutnya unsur cuaca suhu dan RH menghasilkan nilai bangkitan harian dari bulanan yang lebih rapat dibandingkan observasi dengan korelasi >0.8. Hal ini disebabkan fungsi Fourier yang digunakan tidak memiliki faktor keragaman lapangan.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140235212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Land Cover Changes to Increase Land Surface Temperature in Surabaya using Landsat Satellite","authors":"Shanas Septy Prayuda, MarithaNilam Kusuma","doi":"10.31172/jmg.v24i2.968","DOIUrl":"https://doi.org/10.31172/jmg.v24i2.968","url":null,"abstract":"Surabaya has experienced very significant development in the last few decades. Changes in land use will cause the Urban Heat Island phenomenon. This study aims to determine how far the impact of land cover changes on the increase in surface temperature in the Surabaya. The use of Landsat satellite imagery is considered very effective in describing land cover and surface temperature because it has good spatial resolution and long data availability. During 1991 – 2020 there was a significant decrease in the amount of vegetation by 24.3%, decrease in the number of water bodies by 4.9%, and increase in the number of buildings by 29.2%. The average increase in Land Surface Temperatures was 1.40°C between decades 2 and 1, and an increase of 2.19°C between decades 3 and 2. The development of Surabaya began in the city center and then developed mainly in the west and east. The urban development model is consistent with the pattern of land surface temperature changes. Each type of land cover has special characteristics on the value of NDVI, NDBI, and surface temperature. Changes in cover from water bodies to buildings have the highest contribution to increasing the and surface temperature. There was a significant increase in hotspots in decade 3 in Surabaya which indicated an increasingly severe UHI phenomenon.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On The Interannual Variability of Indonesian Monsoon Rainfall (IMR): A Literature Review of The Role of its External Forcing","authors":"Adi Mulsandi, Y. Koesmaryono, Rahmat Hidayat, Akhmad Faqih, A. Sopaheluwakan","doi":"10.31172/jmg.v24i2.1049","DOIUrl":"https://doi.org/10.31172/jmg.v24i2.1049","url":null,"abstract":"The IMR variability is notorious for its hydrometeorological disasters. This paper examines recent studies on IMR and the main factors controlling its variability. The focus of this study is to investigate the impact of the atmosphere-ocean interaction that acts as the external forcing of IMR in the tropical Indian and Pacific Oceans. Specifically, the study will examine the influence of two climate phenomena, namely the El Nino Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) and their interdecadal changes associated Pacific Decadal Oscillation (PDO), on the IMR. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. Furthermore, data sets (such as rainfall, wind field, and SST) spanning 1990-2020 were used to verify the key findings. In general, this study concludes that the majority of the authors coincided with the following conclusion: ENSO and IOD events impact IMR by changing its amplitude, duration, intensity, and frequency of mean and extreme rainfall. Additionally, it has been shown that their impacts on IMR are most substantial during the dry seasons, specifically in June, July, and August (JJA), and not as strong as during the wet seasons, specifically in December, January, and February (DJF). Spatially, the effects of ENSO and IOD on IMR variability are clearly found more eastward and westward of the region, respectively. The expansions towards the east and west directions were facilitated by the displacement of the ascending and descending of Walker circulation patterns in the Indonesian region, respectively. Given the interannual fluctuations in IMR, caused mainly by ocean-atmosphere interactions, the knowledge gap of atmospheric factors like the Quasi-Biennial Oscillation (QBO) must be investigated in the future, as suggested by previous research and our preliminary study.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140235281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Calibration Indonesian-Numerical Weather Prediction using Geostatistical Output Perturbation","authors":"S. Sutikno, Fajar Dwi Cahyoko, Fernaldy Wananda Putra, Erwin Eka Syahputra Makmur, W. Hanggoro, Muhamad Rifki Taufik, Vestiana Aza","doi":"10.31172/jmg.v24i2.1037","DOIUrl":"https://doi.org/10.31172/jmg.v24i2.1037","url":null,"abstract":"Indonesian-Numerical Weather Prediction (INA-NWP) is a numerical-based weather forecast method that has been developed by the Meteorology, Climatology and Geophysics Agency. However, the forecast is still unable to produce accurate weather forecasts. Geostatistical Output Perturbation (GOP) is a weather forecast method derived from only one deterministic output. GOP takes into consideration the spatial correlation among multiple locations simultaneously. GOP is capable to identify spatial dependency patterns that are associated with error models. This study aims to obtain calibrated forecasts for daily maximum and minimum temperature variables using GOP at 10 meteorological stations in Surabaya and surrounding areas. The stages in performing temperature forecasts using GOP are obtaining regression coefficient estimators, then calculating empirical semivariograms and estimating spatial parameters. Based on several weather forecast indicators, such as RMSE and CRPS, GOP is better than INA-NWP in terms of precision and accuracy.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140391227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DURASI PENYINARAN MATAHARI DAN DIURNAL TEMPERATURE RANGE SERTA KAITANNYA DENGAN PERUBAHAN IKLIM DI PONTIANAK, INDONESIA","authors":"Afni Nelvi, Refky Adi Nata","doi":"10.31172/jmg.v24i2.817","DOIUrl":"https://doi.org/10.31172/jmg.v24i2.817","url":null,"abstract":"Durasi penyinaran matahari (DPM) memiliki peranan penting dalam perubahan iklim atau cuaca di bumi. Dewasa ini, perubahan iklim dapat diindikasikan dengan perubahan nilai DPM (dimming/brightening) beberapa dekade terakhir. Analisis DPM dan diurnal temperature range (DTR) perlu dilakukan untuk mengetahui dampak perubahan iklim. Dilakukan analisis data DPM, DTR Tmean, Tmak, Tmin, dan curah hujan di Pontianak, Kalimantan Barat tahun 1981-2019 menggunakan Continuous Wavelet Transform (CWT) dan Wavelet Transform Coheren (WTC). Hasil CWT menggunakan wavelet Morlet, DPM memiliki periode dominan 8-16 bulan. DTR memiliki periode dominan 8-16 bulan dan 32-64 bulan. Peningkatan DPM dapat dikatakan bahwa Pontianak berada pada periode pencerahan (brightening) yang disebabkan oleh perubahan karakteristik awan dan aerosol sehingga terjadi peningkatan jumlah energi matahari yang mencapai permukaan bumi. Perubahan iklim juga telah terlihat dari penurunan DTR. Ditemukan korelasi negatif antara DTR dan DPM (r = -0,80). DTR menjadi indikator penting dari perubahan iklim karena sensitif terhadap perubahan keseimbangan energi radiasi. Perubahan DPM memberikan dampak yang signifikan terhadap Tmean, Tmak dan Tmin. Peningkatan Tmin yang lebih cepat dibandingkan Tmak menyebabkan penurunan DTR sehingga Tmin diprediksi akan semakin tinggi. Tmean dan Tmak memiliki periode dominan 8-16 bulan. Tmin memiliki periode 12-20 bulan dan 32-64 bulan. Peningkatan suhu yang terdeteksi pada periode tersebut diasosiasikan dengan peristiwa kebakaran hutan lahan gambut di Kalimantan yang diperkirakan karena pengaruh brightening period dan peningkatan konsentrasi gas rumah kaca di atmosfer. Curah hujan memiliki periode 4-8 bulan dan 8-16 bulan. Kekeringan yang terjadi dikaitkan dengan peristiwa El Nino mengakibatkan besarnya simpangan jumlah curah hujan terhadap normalnya.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140507980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"KAJIAN KERENTANAN TANAH BERDASARKAN ANALISIS HVSR DI DAERAH SEMBURAN LUMPUR SIDOARJO DAN SEKITARNYA, JAWA TIMUR, INDONESIA","authors":"K. Karyono, I. Syafri, Abdurrokhim Abdurrokhim, Masturyono Masturyono, Supriyanto Rohadi, Januar Arifin, A. Sudrajat, Adriano Mazzini, Soffian Hadi, Agustya Agustya","doi":"10.31172/JMG.V17I1.398","DOIUrl":"https://doi.org/10.31172/JMG.V17I1.398","url":null,"abstract":"Aluvium merupakan fitur geologi yang memiliki sifat rentan terhadap pengaruh gempabumi. Daerah Porong dan sekitarnya tempat semburan Lumpur Sidoarjo (Lusi) terjadi merupakan daerah dataran yang ditutupi oleh endapan aluvium Delta Brantas, sehingga daerah ini merupakan zona lemah yang rentan terhadap pengaruh gempabumi. Hal ini diperkuat dengan adanya sesar Watukosek di daerah tersebut. Dengan tujuan untuk membuktikan hal tersebut maka dilakukan observasi seismik dengan cara memasang 71 stasiun pengamat gempabumi temporal yang tersebar di daerah Sidoarjo dan sekitarnya. Hasil analisis Horizontal Vertical Spectral Ratio (HVSR) terhadap data seismik diperoleh sebaran frekuensi natural bawah permukaan lebih rendah di daerah Lusi yaitu 0,4Hz. Hasil analisis juga mengungkap bahwa di daerah tersebut mempunyai amplifikasi tanah sebesar 5,2 dan tingkat kerentanan tanah sebesar 56, lebih tinggi dibandingkan dengan daerah lain di sekitarnya. Karena letaknya di zona lemah, maka berimplikasi bahwa Lusi menjadi sensitif terhadap gangguan luar misalnya dampak kejadian gempabumi menjadi lebih besar pada daerah ini. Alluvium is a geological feature characterized by high risk vulnerability influenced by the earthquakes. Porong and surrounding areas where the eruption of Lumpur Sidoarjo’s (Lusi) occurred are areas covered by alluvium sediment of Brantas Delta, as consequences this area is a weak zone characterized by high risk vulnerability as well. This is also supported by the present of Watukosek fault system in this area. To proved, we deployed 71 temporary seismic stations distributed in and around Sidoarjo area. The Horizontal Vertical Spectral Ratio (HVSR) analysis revealed that the natural frequency in Lusi area is about 0.4Hz, this is lower than other part areas. The analysis also revealed that this area has soil amplification about 5.2 and soil vulnerability index about 56, these are higher compared with other part areas. These results support that this area is a weak zone. Because of its location in a weak zone, this implies that Lusi became sensitive to external perturbation for example the earthquake events would have greater impact to this area.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91394775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"THERMAL STRESS PROJECTION BASED ON TEMPERATURE-HUMIDITY INDEX (THI) UNDER CLIMATE CHANGE SCENARIO","authors":"Fatkhurokhman Fauzi, Iqbal Kharisudin, Rochdi Wasono, Tiani Wahyu Utami, Iis Widya Harmoko","doi":"10.31172/jmg.v24i1.867","DOIUrl":"https://doi.org/10.31172/jmg.v24i1.867","url":null,"abstract":"The degradation of green open spaces and the phenomenon of deforestation in Indonesia has increased discomfort in the region. Furthermore, if allowed to continue, the increase in temperature caused by greenhouse gases worsens the situation. Increased temperature and reduced air humidity are related to thermal stress, affecting human comfort and health. Thermal stress is measured based on the Temperature Humidity Index (THI), which calculates temperature and relative humidity variables. This study analyses THI projections under climate change scenarios RCP4.5 and RCP8.5. This study uses statistical downscaling and bias correction of Quantile Delta Mapping (QDM) to equalize the local climate. This study is divided into four 20-year periods from 2021 to 2100 to evaluate THI changes in future projections. Based on the study results, it is known that from 2041-2060, several big cities in Indonesia experienced an increase in THI and were included in the category of 50% of the population feeling uncomfortable. THI increased in the third and fourth periods. Areas that experienced a significant increase in THI were urban areas that lacked green open land and were densely populated. Surabaya City and Madura Island are the areas with the highest THI index.","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136349074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"KATEGORISASI STASIUN SEISMIK DAN PENGARUHNYA DALAM PENENTUAN PARAMETER MAGNITUDO GEMPABUMI BMKG","authors":"Muhammad Fahmi Nugraha, Afnimar Afnimar, M. Taufik Gunawan, M. Ramdhan, Iman Fatchurochman, Nova Heryandoko","doi":"10.31172/jmg.v24i1.886","DOIUrl":"https://doi.org/10.31172/jmg.v24i1.886","url":null,"abstract":"Kewajiban mengirimkan informasi gempa dalam waktu kurang dari lima menit menyebabkan magnitudo yang diproses oleh BMKG hanya berasal dari stasiun seismik yang merekam gelombang seismik pada rentang waktu tersebut, sehingga nilainya masih fluktuatif dan berpotensi menimbulkan perbedaan dengan magnitudo final. Setiap jenis magnitudo yang ditentukan pada lima menit pertama, (MLv, mb, mB, dan Mwp) merupakan hasil dari rata-rata nilai magnitudo dari setiap stasiun seismic yang menentukannya sehingga nilainya bergantung pada hasil magnitudo pada masing-masing stasiun. Sistem SeisComP di BMKG menggunakan metode trimmed mean sehingga stasiun dengan nilai magnitudo terlampau besar atau kecil akan dieliminasi dalam penentuan magnitudo. Penelitian ini bertujuan untuk mengurangi fluktuasi penentuan magnitudo pada lima menit pertama dengan mencari stasiun seismik mana yang paling sering dieliminasi dengan metode trimmed mean, kemudian divalidasi dengan site quality stasiun. Selanjutnya dibuat 2 kategori utama stasiun seismik, 1) stasiun primer yang digunakan dalam penentuan lokasi dan magnitudo gempa, dan 2) stasiun sekunder yang hanya digunakan dalam penentuan lokasi gempa. Hasil penelitian menunjukkan bahwa stasiun dengan site quality yang baik secara umum akan menghasilkan nilai magnitudo yang baik dengan hasil 285 stasiun seismik yang dikategorikan sebagai stasiun primer dan sisanya 126 stasiun seismik dikategorikan sebagai stasiun sekunder. Stasiun primer tersebut diuji coba dalam penentuan magnitudo menggunakan playback SeisComP dengan memutar ulang 256 kejadian gempa. Hasilnya menunjukkan bahwa fluktuasi magnitudo pada menit-menit awal dapat direduksi dengan baik yang ditunjukkan dengan adanya residual dan deviasi terhadap nilai magnitudo akhir yang lebih kecil dibandingkan hasil BMKG, hal ini mengindikasikan bahwa penentuan magnitudo dengan stasiun primer menunjukkan hasil yang lebih baik","PeriodicalId":32347,"journal":{"name":"Jurnal Meteorologi dan Geofisika","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135135253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}