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All Journal Health Dynamics Jurnal Meteorologi dan Geofisika
Taufik, Muhamad Rifki
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Dentistry Earth & Planetary Sciences Energy Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Physics Public Health

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Understanding of Nanofiber Face Mask as Corona Virus Disease Prevention in Human Prasetya, Tofan Agung Eka; Dewi, Indiah Ratna; Taufik, Muhamad Rifki; Islam, Khandaker Fadwana
Health Dynamics Vol 1, No 4 (2024): April 2024
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd10405

Abstract

Background: Corona virus has become a global issue. It makes various countries have taken this outbreak very seriously. One of the necessary precautions is by using a face mask. The nanofiber technology on face masks greatly helps the public and government to increase the prevention of disease spread. The purpose of this study was to conduct a systematic literature review on nanofiber face masks as human corona virus disease prevention. Methods: Stages of systematic literature review of 632 documents was carried out using text mining techniques, while hierarchical cluster analysis were carried out for the extraction of terms in documents. Results: The terms "mask" and "nanofiber" were the most words that appear (more than 40 times) in the WoS and PubMed nanofiber mask document form. On the other hand, the terms "disease" and "respiration" mostly appeared in human corona virus disease prevention. Both of these terms were used to obtain specific articles as a basis for the study of nanofiber mask as human corona disease prevention. Conclusion: This study is very important since prevention measures against corona disease (corvid-19) are a very high concern. The next study is expected to bring this review literature into an experimental study of nanofiber applied to face masks.
Calibration Indonesian-Numerical Weather Prediction using Geostatistical Output Perturbation Sutikno, Sutikno; Cahyoko, Fajar Dwi; Putra, Fernaldy Wananda; Makmur, Erwin Eka Syahputra; Hanggoro, Wido; Taufik, Muhamad Rifki; Aza, Vestiana
Jurnal Meteorologi dan Geofisika Vol. 24 No. 2 (2023)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v24i2.1037

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.
Co-Authors Aza, Vestiana Cahyoko, Fajar Dwi Indiah Ratna Dewi, Indiah Ratna Islam, Khandaker Fadwana Makmur, Erwin Eka Syahputra Prasetya, Tofan Agung Eka Putra, Fernaldy Wananda Sutikno Sutikno Wido Hanggoro