Data warehouse and web-based OLAP for hotspot distribution in Indonesia

Hayardisi, Gananda; Sitanggang, Imas Sukaesih; Syaufina, Lailan

doi:10.1109/dmo.2009.5341921

Cited by 4 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Aplikasi berbasis web untuk mengelola data kebakaran hutan dan lahan, yaitu titik panas telah dibangun oleh peneliti-peneliti sebelumnya. Data warehouse yang diintegrasikan dengan aplikasi Online Analytical Processing (OLAP) telah dibangun untuk mengelola data histori titik panas [6]. Selanjutnya modul clustering titik panas dibangun pada aplikasi Web-Based OLAP [7].…”

Section: Pendahuluanunclassified

Modul Front-End Sistem Informasi Geospasial Patroli Terpadu Kebakaran Hutan dan Lahan

Ramdhany¹,

Sitanggang²,

Kurniawan³

et al. 2021

RESTI

View full text Add to dashboard Cite

To prevent and handle forest and land and forest fire (karhutla), the Ministry of Environment and Forestry assembled a patrol team that conducts a daily task to observe directly to the hotspot location as an indication for land fire. Currently, the patrol team reported the investigation result into a group chat. This method consumed many storage spaces and not suitable for formal reporting. This study aims to develop a front-end module for a web GIS application that visualizes the patrol team's daily report. The application has its data recapitulation method and able to create a formal report. The data used in this study are a set of the report that collected in 2016 by Sumatera and Kalimantan patrol team. The steps to build this application include communication, integrate with the API from the back-end system, developing functional needs, software testing, and the last is software release. The application was build using HTML and CSS for its interface and Javascript and API from the back-end module for its content management. The system uses Google Maps services and library to support the functionalities of the application. The unit testing method's test result shows that the module runs well and can afford all of the required functionality. In addition, the system testing result that the ratio between actual error and expected error is equal to 1. This result indicates the functions of the system are working properly according to the use cases of the system.

show abstract

Section: Pendahuluanunclassified