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http://repository.ipb.ac.id/handle/123456789/163958| Title: | Pengembangan Fitur Offline pada Aplikasi Mobile Penilaian Tingkat Keparahan Area Pascakebakaran Hutan dan Lahan |
| Other Titles: | Offline Feature Development on a Mobile Application for Assessing the Severity Level of Post-Forest and Land Fire Areas |
| Authors: | Sitanggang, Imas Sukaesih Ridha, Ahmad AZZAM, RIFQI FAUZAN |
| Issue Date: | 2025 |
| Publisher: | IPB University |
| Abstract: | Kebakaran hutan dan lahan (karhutla) merupakan ancaman serius bagi ekosistem dan manusia. Penilaian tingkat keparahan area pascakarhutla penting dilakukan sebagai dasar pengambilan keputusan dalam proses pemulihan. Sistem SIPAKARHUTLA dikembangkan untuk mendukung efisiensi pengumpulan dan pengelolaan data penilaian karhutla berbasis lapangan. Penelitian ini bertujuan mengembangkan fitur aplikasi mobile SIPAKARHUTLA berupa menyimpan data secara offline, mengunggah dan mengelola dokumentasi gambar, mengunduh laporan PDF, serta mencari dan menyaring data observasi. Pengembangan dilakukan menggunakan metode prototyping dan pengujian fungsional dilakukan menggunakan black box testing. Pengujian ini mencakup 85 skenario dengan tingkat keberhasilan 100%. Hasil penelitian menunjukkan bahwa fitur-fitur baru berhasil meningkatkan fungsionalitas aplikasi dalam mendukung kegiatan penilaian karhutla di lapangan, khususnya di wilayah dengan keterbatasan koneksi internet. Forest and land fires (karhutla) are a serious threat to ecosystems and human life. Assessing the severity level of post-fire areas is essential as a basis for decision-making in recovery efforts. The SIPAKARHUTLA system was developed to support efficient field-based data collection and management for post-fire severity assessment. This study aims to develop features in the SIPAKARHUTLA mobile application, including offline data storage, image documentation upload and management, PDF report download, as well as data search and filtering functions. The development process followed the prototyping method, and functional testing was conducted using black box testing. This testing included 85 scenarios that were all successfully run, with a success rate of 100%. The results show that the new features successfully improved the application's functionality in supporting karhutla assessment activities in the field, particularly in areas with limited internet connectivity. |
| URI: | http://repository.ipb.ac.id/handle/123456789/163958 |
| Appears in Collections: | UT - Computer Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| cover_G6401211008_a346e19bd32d4e8db7655dd8b342f12d.pdf | Cover | 424.32 kB | Adobe PDF | View/Open |
| fulltext_G6401211008_f12c8a73b51441ee90ce0eaea07273b9.pdf Restricted Access | Fulltext | 2.36 MB | Adobe PDF | View/Open |
| lampiran_G6401211008_ab7ff3cc1721468bbe69a20b36345781.pdf Restricted Access | Lampiran | 2.65 MB | Adobe PDF | View/Open |
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