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Achmad Supandi
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INDONESIA
Jurnal Widya Climago
Published by Badan Meteorologi, Klimatologi, dan Geofisika
ISSN : 27147924     EISSN : 27970078     DOI : https://doi.org/10.31172/jwc
Core Subject : Humanities, Education, Social,
Humanities Education Social Sciences Other
Jurnal WIdya Climago menerima naskah Karya Tulis Ilmiah (KTI) dari para widyaiswara, Peneliti, Dosen, Pejabat Fungsional tertentu lainnya serta Penulis Umum. Naskah KTI yang dapat diterbitkan pada Jurnal Widya Climago adalah naskah KTI berjenis kajian (research) Bidang Kewidyaiswaraan : Pelatihan Kurikulum Pembelajaran Evaluasi Bidang Pengembangan Kompetensi SDM: Sumber Daya Manusia Manajemen Bidang Teknis Pemberdayaan Masyarakat: Meteorologi Klimatologi & Kualitas Udara Geofisika
Arjuna Subject : Umum - Umum
Articles 63 Documents
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ANALISIS INDEKS KEPUASAN MASYARAKAT TERHADAPPELAYANAN PUBLIK DI BMKG WILAYAH LOMBOK Ulfah, Afriyas; Kirana, Nindya
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

The large number of public services in the form of requests for information and weather-climate data but the lackof media owned to accommodate suggestions and criticisms from service users is the reason for the importance ofdistributing the Community Satisfaction Survey questionnaire to get the value of the Community Satisfaction Indexas a benchmark for public services at BMKG Station West Lombok Climatology Station . Data processing iscarried out based on BMKG regulations on Community Satisfaction Survey Guidelines and validity and reliabilitytesting to evaluate the validity and consistency of questionnaires given to respondents. The results obtained fromdata processing and testing that of the 62 respondents with the main occupation of the most respondents areStudents / Students giving an average value of the Community Satisfaction Index of 3.4 and an average value ofservice expectations of 3.5 and if converted into qualifications the quality of service becomes very good. The value of the validation test shows an average value of 0.003 out of 20 questions with a significance value of 0.005, whichstates that all questions in the questionnaire are acceptable to the public. The reliability test showed the results ofα = 0.720 greater than Cronbach's alpha α = 0.60, so the results of the test that this questionnaire could be usedagain for the next survey.
PENERAPAN TEKNIK DATA MINING DENGAN ALGORITMA CLASSIFICATION TREE UNTUK PREDIKSI HUJAN Prasetya, Ratih
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

Classification is a data mining technique used to predict the relationship between data in a dataset. Prediction is done by classifying data into several different classes by considering certain factors. Classification is one of the empirical approaches that can be used for shortterm weather prediction. The classification algorithm used in this study is the Classification Tree utilizing software of Orange Data Mining 3.3.12. Furthermore, the algorithm is used to predict rain with the Confusion Matrix test parameters. The input data is a synoptic data from the Kemayoran Meteorological Station, Jakarta (96745) for 10 years (2006 - 2015) as many as 3528 datasets and consists of 8 attributes. Based on a series of processing, selection and testing of the model shows that the accuracy of the Classification Tree algorithm is 74.7% with a fair classification category where the number of correct predictions is 818 datasets out ofthe total amount of data tested that is 1095 datasets. The dominant weather attributes in the formation of rain respectively are humidity (RHavg), minimum temperature (Tmin), maximum temperature (Tmax), average temperature (Tavg) and wind direction (ddd).
UJI PERFORMA SOUTHEASTERN ASIA-OCEANIA FLASH FLOOD GUIDANCE DALAM DETEKSI KEJADIAN BANJIR BANDANG DI INDONESIA (PERIODE TANGGAL 23 – 30 Juli 2020) Kiki, Kiki; Faalih, Imaduddin Salma
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

The Flash Flood Guidance System (FFGS) is one of the programs initiated by the World Meteorological Organization (WMO) in collaboration with several international institutions, namely the National WeatherService, Hydrologic Research Center, and USAID / OFDA, which aims to build a prediction and warning system for flash floods potential throughout the world. This project seeks to minimize the impact of flash floods which is known historically to be one of the disasters with the most destructive and deadly impacts. Indonesia is one of the countries selected to participate in the implementation of the FFGS system, and is named SAOFFG (Southeastern Asia-Oceania Flash Flood Guidance System), which was initiated in early 2016. Indonesia, to be precise BMKG, was chosen as the Regional Center for this SAOFFG project. This system has undergone an operational trial phase of 6 (six) hours from July, 23rd 2020 until now. Before operated as a daily task, a performance test must be carried out to measure the level of accuracy of the output of this system. Based on the verification results, it is known that the product accuracy level is in the good category.
ANALISIS TINGKAT PEMAHAMAN PESERTA DIKLAT TERHADAP TUGAS ONLINE PADA DIKLAT PENINGKATAN KAPASITAS FORECASTER METEOROLOGI Sulistya, Widada
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

BMKG Education and Training Centre has the task and function to organizing education and training activities. BMKG ETC is also obliged to implement a policy of distance learning activities during covid -19 pandemic. All series of activities related to learning programs are delivered by online. The success of communication can be measured by how far the other people understand what the communicator says. One of the goals of communication is to influence other people to do what we expect. This study will be conducted to measure the level of understanding of training participants on online studies. This study is a quasi-experimental study. Primary data based on the survey of the training participants. The number of training participants was 31 people, who comesfrom the BMKG Stations throughout Indonesia. Based on the analysis of each case, it shows that the case of suggestions for improving the issue of weather early warnings, was the best understand by respondents, because 100% of respondents are good and very good classification. Meanwhile, for the case of constraints on the issue of weather early warning were in the second place with 95% of respondents in the good and very good classification, while the remaining 5% were classified as sufficient. The discussion of the operational situation before training can be used as an inventory of operational problems, then based on these problems, the training participants can discussion to solve operational problems with the managements during the class.
TINJAUAN KLIMATOLOGIS KEJADIAN HUJAN DI MUSIM KEMARAU PADA DASARIAN I SEPTEMBER 2020 DI SULAWESI TENGGARA Qothrunada, Dewi Tamara; Risnayah, Siti
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

In September, the Southeast Sulawesi region normally experiences a dry season. However, there are still rainevents with low to high intensity that occur in Southeast Sulawesi during the first decade of September 2020 (1-10 September). Rainfall that exceeds 100 millimeters in a decade in an area during the dry season indicates thatthere are significant weather disturbance factors that play a role in the formation of a large and extensiveconvective cloud system. Regional and local scale weather analyzes were conducted to identify weatherdisturbances that contributed to these events. Based on the results of monitoring rainfall observations,atmospheric dynamics data, and sea surface temperature, the rain event during the first decade of September2020 was an extreme event caused by disturbances in wind patterns around Kalimantan and Sulawesi, warmingsea surface temperatures in Indonesia and activate of weak La Nina, disturbance of easterly winds, and a fairly massive increase in air masses in the Southeast Sulawesi region. This rain event is also supported by the activeflow of cold wind (westerly wind) from mainland Asia in the upper layer.
PENGUJIAN KUALITAS DATA AUTOMATIC WEATHER STATION(AWS) MENGGUNAKAN RELIABILITY DAN CONSISTENCY TEST PADA SISTEM AWS CENTER Handiana, Dian; Novianti, Rizki; Sanusi, Husin
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

Automatic observation data with high spatial and temporal resolution is very useful for knowing weather conditions in real time and also used to improve forecasts using assimilated data from this data. The purpose of this paper is to determine the quality of AWS data using the reliability test method and the internal consistency test. The results of data quality testing show the average percentage of suspect data from the nine parameters, namely 6.4. This shows that there are still several problems related to the suspect data and missing data. It is necessary to have a standard quality assurance system which regulates about quality assurance starting from selecting location, selecting standard sensors, good communication network support, the availability of a data Quality Control (QC) monitoring system, and realtime data QC procedures that are implemented both in raw QC. data (site level / basic QC) up to QC processing level at the center.
PENGEMBANGAN SISTEM INFORMASI PRAKIRAAN CUACA BERBASIS DAMPAK MENGGUNAKAN MODEL PRAKIRAAN CUACA NUMERIK UNTUK WILAYAH JAKARTA Hutabarat, Younggy H.M.
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

Impact based forecast is one of the forecasting systems currently being developed by BMKG. The change of paradigm from ordinary weather forecasting systems to impact-based weather forecast is a step to improve the class of BMKG forecasts. The purpose of this study is to determine what weather parameters can be used as a predictor of flood disasters in Jakarta and determine the probability of numerical weather forecast model data for rain that has the potential to flood in Jakarta. This study uses 2015-2019 Jakarta flood events data, GFS models and disaster matrix data. This research begins with the collection of Jakarta flood events in 2015-2019, then performs a composite analysis of weather variables that can be used as a flood disaster predictor, quantifies flood events into impacts (minimal, minor, significant and severe), quantifies weather to likelihood (very low, low, medium and high) and presenting of impact based forecast maps. The results showed that the GFS numerical weather forecast model in Jakarta succeeded in describing the values of rainfall, relative humidity and temperature, CAPE and vertical velocity parameters, but the results were not in accordance with actual reality. The probability of each variable described by the GFS model included as likelihood is as follows, rainfall has a probability of 20-25% which is included as a very low likelihood category (<29%), relative humidity andtemperature has a probability of 50-55% which includes as a low likelihood category (30-59%), CAPE has a probability of 43-45%, which is included as a low likelihood category (30-59%) and vertical velocity has aprobability of 35-38% where it is included as a low likelihood category (30 -59%). In this study the GFS model successfully illustrates the probability and likelihood of relative humidity and temperature, CAPE and vertical velocity better than rainfall in flood events in the DKI Jakarta area.
ANALISIS SIKLON TROPIS MANGGA DAN DAMPAKNYA TERHADAP KONDISI CUACA DI INDONESIA Ninggar, Regina Dara; Siregar, Diana Cahaya
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

Tropical cyclones can trigger convective activity between the atmosphere and the ocean, thus affecting convective clouds active growth. TC Mangga, which occurred in May 2020 in the Indian Ocean region, affects Indonesia's significant weather patterns so that a study on TC Mangga is needed. This study examines the development conditions of convective clouds based on the interpretation of gradient winds and satellite imagery from Fengyunand Himawari 8. Daily rainfall data and Wave watch-III was used to interpreting the impact that TC Manggacould have during the growing period of tropical cyclones or tropical depression phases. TC Mangga triggers the forming of shear, low-pressure areas, eddy. The interpretation of satellite imagery shows that there are thick convective clouds that form in the Indian Ocean waters with albedo values ranging from 0.55 to 0.83, and the observed cloud top temperatures are colder than -70o C. The indirect effect of TC Mangga activation is the occurrence of rain events with moderate to heavy intensity accompanied by strong winds in several areas of Sumatra Island and Java Island, as well as the potential for high waves ranging from 2.5 to 6.0 meters in the waters of the southern Java Island and West Sumatra Island waters.
VALIDASI PERFORMA SATELIT PRESIPITASI GSMaP DALAM MENGESTIMASI CURAH HUJAN DI JABODETABEK Rahman, Rahmat Nur; Indra , Indra
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

Early in 2020 the Jabodetabek area was again shocked by the heavy rains which had an impact on flooding inalmost all of its areas, resulting in losses for the surrounding population. This condition encourages research on extreme rain events in the region. However, the limited distribution of rainfall observation points makes it necessary to use alternative types of satellite-based data. This study applies satellite rainfall estimation data from GSMaP (Global Satellite Mapping of Precipitation) which has been operated by BMKG as one of the rainfall data for analysis of rainfall events. The GSMaP spatial resolution of 0.25o and the availability of data since 2000 make this data usable as alternative rainfall data. This study aims to determine the performance of GSMaP on observational data for the Jabodetabek area which includes AWS Manggarai, ARG Jagorawi, AWS UI, South Tangerang Staklim, and ARG Jatiasih in estimating rainfall. For this reason, a performance validation test was carried out on December 31, 2019 - January 11, 2020 using a scatter plot to determine the correlation between GSMaP performance in estimating rainfall. The results showed a correlation value of 0.72 which means it has a strong correlation level, so that GSMaP has a good performance for estimating rainfall in the Jabodetabek area.
TIPE PASANG SURUT DI PELABUHAN BENOA BALI DENGAN METODE ADMIRALTY BERDASARKAN DATA AUTOMATIC WEATHER STATION (AWS) Hikmah, Diana; Arisanti, Luh Eka; Irmawan, Decky
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

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Abstract

Benoa Port is the main port in Bali which is actively used for water transportation activities and domestic and international cruise, container loading and unloading, the fishing industry, and water sports activities. To support the development of activities in the area, continuous maritime observation data is needed. BMKG as a national meteorological agency installed an automatic weather station (AWS) around the Benoa Port area, so that maritime observation data can be collected and processed further. The maritime AWS at the Benoa Port is also equipped with sensors that can measure water level. This study uses water level data to determine the type of tides at the Benoa port by using the Admiralty method. The results of this study indicate that the tidal type at Benoa port is a mixed tide prevailing semidiurnal. It is hoped that the results of this study can be useful and become a reference for further research.

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