Judul: Front-End Module Development for Sentinel Image Download Automation Using Django Framework
Abstrak: Citra Sentinel-1A dapat dimanfaatkan untuk survei dan pemetaan penggunaan lahan pertanian seperti tanaman bawang putih agar proses identifikasi lahan lebih cepat. Oleh karena itu penerapan framework Django dalam pengembangan modul front-end berbasis web perlu dilakukan untuk mempercepat proses otomatisasi download data citra Sentinel yang dibutuhkan. Penelitian ini bertujuan untuk membangun sebuah modul untuk membantu mempercepat proses pengunduhan data citra Sentinel menggunakan Framework Django. Penulisan ini menggunakan metode prototyping. Penggunaan metode prototyping didasarkan pada keuntungan dalam mendapatkan umpan balik yang cepat dari pengguna. Terdapat lima tahapan dalam metode prototyping, yaitu Communication, Quick Plan, Modelling Quick Design, Construction of Prototype, Deployment Delivery and Feedback. Hasil dari penelitian ini adalah sebuah sistem otomatisasi pengunduhan citra Sentinel-1A. Sistem dapat melakukan pengunduhan data citra Sentinel dan data geoJson. Pengembangan sistem ini dilakukan sebanyak dua iterasi. Semua sistem yang dikembangkan telah berhasil melewati pengujian black box testing., Sentinel-1A imagery can be used for surveys and mapping of agricultural land uses such as garlic to make the land identification process faster. Therefore, the implementation of Django framework in the development of web-based frontend module needs to be done to speed up the process of automation of downloading the Sentinel images. This study aims to build a module for downloading Sentinel images using the Django Framework. This module was developed using the prototyping method. The use of prototyping method is based on the advantage of getting quick feedback from users. There are five stages in prototyping method, namely Communication, Quick Plan, Modelling Quick Design, Construction of Prototype, Deployment Delivery & Feedback. The result of this study is an automation system for downloading Sentinel Images. The system can download Sentinel images data and geoJson data. The development of this system has carried out two iterations. All systems developed have successfully passed testing using black box approach.
Keyword: Automation, Django Framework, Front-End, Sentinel Image

Judul: Development of Frontend Module Feature on Spatial Decision Support System for Garlic Land Suitability
Abstrak: Evaluasi kesesuaian lahan untuk penanaman bawang putih sangat penting dilakukan guna meningkatkan produksi bawang putih. Penelitian ini bertujuan untuk mengembangkan modul frontend Agroecological Assessment of Land Suitability for Garlic (INA-Agro Garlic) menggunakan metode prototyping dengan beberapa tahapan, seperti komunikasi, perancangan cepat, pemodelan perancangan cepat, pembuatan prototipe, serta penyebaran dan umpan balik. Penelitian ini berhasil mengembangkan modul frontend INA-Agro Garlic yang ditandai dengan berhasilnya pengembangan fitur dashboard untuk manajemen pengguna, pengembangan peta kesesuaian lahan yang dapat menampilkan kelas kesesuaian lahan dalam bentuk marker dan poligon, serta implementasi faktor lama penyinaran sinar matahari per harinya pada penilaian kesesuaian lahan bawang putih. Pengujian sistem menggunakan metode blackbox testing telah memenuhi ekspetasi. Pengujian perhitungan kelas kesesuaian lahan dengan membandingkan hasil perhitungan kelas kesesuaian lahan secara manual dan hasil perhitungan kelas kesesuaian lahan menggunakan INA-Agro Garlic juga telah memenuhi ekspetasi., The evaluation of land suitability for garlic cultivation is crucial in order to enhance garlic production. This research aims to develop the frontend module of the Agroecological Assessment of Land Suitability for Garlic (INA-Agro Garlic) using the Prototyping method, which involves several stages such as communication, quick plan, modeling quick design, construction of prototype, and deployment, delivery, and feedback. This research successfully developed the frontend module of INA-Agro Garlic, characterized by the successful development of a dashboard feature for user management, the creation of a land suitability map that can display land suitability classes in the form of markers and polygons, and the implementation of the daily sunlight irradiation factor in garlic land suitability assessment. The system testing using black box testing method has met the expectations. The testing of land suitability class calculations by comparing the manually calculated land suitability class results with those obtained from INAAgro Garlic has also met the expectations.
Keyword: bawang putih, modul frontend, sistem pendukung keputusan spasial, frontend module, garlic, spatial decision support system

Judul: Approximation of the Median of Poisson Distribution Using the Relation of Poisson-Gamma Distribution
Abstrak: A major drawback of median is that median cannot usually be defined in closed form, even in the cases where their distribution functions are known. This study gives an approximation of the closed form for the median of the Poisson distribution by using the relation of Poisson-Gamma distribution. The approximation uses elementary techniques based on the monotonicity of certain sequences involving tail probabilities of the Poisson distribution and the Central Limit Theorem. Furthermore, a closed form expression for the mean absolute deviation 􀜧|􀜰􀰒 􀵆 􀜯􀝁􀝀􁈺􀜰􀰒􁈻| is also studied. The median is relevant because of the fact that it minimizes the mean absolute deviation of a Poisson random variable (􀜰􀰒􁈻 by considering median as central tendency.
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