| dc.contributor.advisor | Agmalaro, Muhammad Asyhar | |
| dc.contributor.advisor | Sitanggang, Imas Sukaesih | |
| dc.contributor.author | Samuel, Elia | |
| dc.date.accessioned | 2021-07-07T00:14:41Z | |
| dc.date.available | 2021-07-07T00:14:41Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/107260 | |
| dc.description.abstract | Kebakaran hutan dan lahan (karhutla) menghasilkan kabut asap yang mengandung berbagai macam polutan seperti CO dan CO2. Paparan polutan tersebut berimplikasi buruk terhadap kesehatan masyarakat sekitar peristiwa itu dalam bentuk berbagai penyakit infeksi saluran pernapasan akut (ISPA). Meminimalkan dampak negatif akibat kabut asap karhutla kedepannya adalah tindakan yang perlu dilakukan. Penelitian ini bertujuan mengembangkan modul simulasi dengan data titik panas secara online dalam aplikasi web haze trajectory pattern mining. Modul simulasi trajectory tersebut dibangun dengan framework Shiny dan fungsi HYSPLIT. Trajectory dibentuk dengan beberapa input berupa data titik panas dari katalog API Pustekdata Lapan dan data meteorologi dari NOAA. Pengembangan modul dilakukan dengan membangun fungsi yang disesuaikan dengan pengolahan data secara online. Kemudian hasil simulasi disajikan ke dalam leaflet map Indonesia. Hasil penelitian ini berupa pemetaan titik panas atau lintasan kabut asap beserta informasi spasial maupun temporal baik disajikan dalam clickable popup atau tabel. Hasil modul tersebut dapat membantu menganalisis pergerakan lintasan kabut asap secara efektif. | id |
| dc.description.abstract | Forest and land fires (karhutla) produce haze which contains various pollutants such as CO and CO2. Exposure to these pollutants has had negative implications for the public health surrounding the incident in the form of various acute respiratory infections (ARI). Minimizing the negative impact due to the haze of forest and land fires in the future is an action that needs to be done. This study aims to develop a simulation module with online hotspot data in a haze trajectory pattern mining web application. The trajectory simulation module was built with the Shiny framework and the HYSPLIT model. The trajectory is formed with several inputs in the form of hotspot data from the API catalog of Pustekdata Lapan and meteorological data from NOAA. Module development was carried out by building functions according to online data processing. Then the simulation results are presented in an Indonesian leaflet map. The results of this study are mapping of hotspots or haze trajectories along with spatial and temporal information, both are presented in clickable popups or tables. The results of this module can assist analyzing haze movement effectively. | id |
| dc.language.iso | id | id |
| dc.publisher | IPB University | id |
| dc.title | Pengembangan Modul Simulasi Online Lintasan Kabut Asap Karhutla dengan HYSPLIT | id |
| dc.type | Undergraduate Thesis | id |
| dc.subject.keyword | forest and land fires | id |
| dc.subject.keyword | haze trajectory | id |
| dc.subject.keyword | HYSPLIT | id |
| dc.subject.keyword | hotspots | id |
| dc.subject.keyword | shiny | id |
