Judul: Front-End Module at Post Forest and  Land Fire Area Severity Level Assesment System
Abstrak: Kebakaran hutan dan lahan (karhutla) merupakan salah satu fenomena berdampak besar yang sering terjadi di Indonesia, terutama pada musim kemarau. Dalam perumusan program rehabilitasi terhadap area yang terkena dampak karhutla, salah satu informasi yang dibutuhkan adalah tingkat keparahannya. Saat ini, metode penilaian fire severity belum terintegrasi dengan sistem maupun basis data, sehingga informasi hasil penilaiannya belum dapat diakses oleh pihak yang membutuhkannya. Oleh karena itu, penelitian ini bertujuan membangun Sistem Penilaian Tingkat Keparahan Area Pasca Kebakaran Hutan dan Lahan, khususnya pada modul front-end. Pembangunan modul front-end dilakukan dengan mengadopsi metode prototyping yang meliputi tahapan komunikasi dengan stakeholder, perencanaan dan pemodelan cepat sistem, konstruksi prototipe, pengujian dan feedback sistem. Fitur utama yang disediakan modul front-end meliputi registrasi akun, login, melihat peta sebaran lokasi area pasca karhutla, menambahkan penilaian karhutla baru, melihat detail data laporan, mengubah data laporan, menghapus data laporan, dan melihat data pengguna. Hasil black- box testing menunjukkan semua fitur utama telah berjalan sesuai dengan ekspektasi. Kelebihan dari modul front-end ini di antaranya fitur pencarian koordinat otomatis, kemampuan membagi penilaian sebuah area karhutla menjadi beberapa plot, fitur untuk memperbaiki kesalahan entri data laporan setelah dibuat, serta performa yang baik. Beberapa rencana perbaikan sistem selanjutnya meliputi penambahan jenis dan modul manajemen pengguna, penambahan fitur filter dan search, serta penambahan mekanisme verifikasi registrasi akun., Forest and land fire (karhutla) is an impactful phenomenon frequently occurring in Indonesia, especially during the dry season. In formulating a rehabilitation program for areas affected by forest and land fires, one of the information needed is the fire severity level. The fire severity assessment method has not been integrated with any system or database; those who need it cannot access the assessment data. Therefore, this research aims to build a Post Forest and Land Fire Area Severity Level Assessment System, specifically the front-end module. The front-end development is carried out by adopting the prototyping method, which includes the stages of communication with stakeholders, quick system planning and modeling, prototype construction, testing and system feedback. Key features provided by the front-end module include account registration, login, viewing a map of post-fire locations, adding new post fire assessment, viewing detailed report data, modifying report data, deleting report data, and viewing user data. Results from black-box testing show that all key features in the front-end module performed as expected. The advantages of this front-end module include a feature to search for coordinates automatically, abillity to divide a post fire area into multiple plots, a feature to fix incorrect data entries after the report has been made, and a good performance. Plans to fix the system in the next development iteration include adding new user types and a user management module, adding a filter and a search feature, as well as adding an account verification mechanism.
Keyword: karhutla, modul front-end, penilaian tingkat keparahan, sistem informasi geografis web

Judul: Backend Module in Post-Fire Area Severity  Assessment System
Abstrak: Pasca terjadinya kebakaran hutan dan lahan, kawasan hutan atau lahan yang terkena bencana tersebut akan diobservasi untuk dinilai tingkat keparahannya. Namun, kegiatan penilaian tersebut masih dilakukan secara manual sehingga tidak efisien dari segi waktu. Oleh karena itu, penelitian ini bertujuan untuk membuat Sistem Penilaian Tingkat Keparahan Area Pasca Kebakaran Hutan (SIPARTAN) yang berfokus pada modul backend. Penelitian dilakukan dalam 5 tahapan mulai dari menganalisis kebutuhan sistem dan fitur hingga mengintegrasikan modul backend dengan modul frontend dan mobile. Penelitian ini berhasil merumuskan dan menetapkan satu fitur utama dan tujuh fitur pendukung yang menjalankan program Sipartan serta menghasilkan rancangan skema basis data yang memiliki sebelas entitas di dalamnya. Kemudian, penelitian ini juga telah berhasil membuat total 14 endpoint API. Keberhasilan pembuatan endpoint-endpoint tersebut didukung oleh pengujian modul backend yang dilakukan dengan metode blackbox testing dan menghasilkan output yang diharapkan. Selain itu, modul backend yang dikembangkan pada penelitian ini juga telah dilakukan deployment menggunakan VPS agar dapat digunakan oleh modul frontend dan mobile., After the occurrence of forest and land fires, the affected forest or land area will be observed to be assessed for severity. However, the assessment activities are still carried out manually, making it inefficient in terms of time. Therefore, this study aims to create a Post-Fire Area Severity Assessment System (SIPARTAN) focusing on the backend module. The research was conducted in 5 stages starting from analyzing system requirements and features to integrating backend modules with frontend and mobile modules. This study has successfully formulated and defined one main feature and seven supporting features that will run the Sipartan program and produced a database schema design with eleven entities. Then, this study has also succeeded in creating a total of 14 endpoints API. The successful creation of these endpoints is supported by backend module testing, which is carried out using the blackbox testing method and produces the expected output. In addition, the backend module developed in this research has also been deployed using VPS so that it can be used by frontend and mobile modules.
Keyword: Backend, Karhutla, PostgreSQL, REST API, Land assessment

Judul: Optimization of Alginate-Chitosan Microcapsules Formation for Leydig Cells Encapsulation
Abstrak: Hypogonadism is a clinical condition characterized by low concentrations of testosterone. It is caused by malfunction of Leydig cells in producing testosterone. Encapsulation method will protect the transplanted cells from the immune system rejection. The aims of this study was to optimize the formation of microcapsules for Leydig cells encapsulation. The microcapsules were made of alginate and chitosan as the first and the second coating agents, respectively. The result showed that the minimum concentration of alginate was 1.5% (w/v) with a viscosity of 33.8 cPs, resulted spherical microcapsules with diameters of 230-270 µm. The optimum concentration of chitosan as the second coating agent was 0.5% (w/v), resulted spherical microcapsule with mechanical stability in 4 hours. Leydig cells can be trapped inside the capsule with a density that proportional with concentration of cells used in the encapsulation.
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