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 Web-Based System Maintenance and Monitoring Front-End System for ISURF Lab Tools
Abstrak: Terdapat banyak metode penanaman tumbuhan untuk mendapatkan hasil panen dengan kualitas yang beragam. Namun belum dapat dipastikan cara mendapatkan hasil panen yang berkualitas tinggi secara terus menerus karena tidak adanya pemantauan dan pemeliharaan terhadap objek secara langsung. Untuk mengatasi masalah tersebut, maka akan disediakan wadah untuk peneliti agar dapat melakukan pemantauan dan pemeliharaan supaya mendapatkan hasil panen dengan kualitas tinggi. Penelitian ini berfokus pada pembuatan front-end sistem monitoring berbasis web dengan menggunakan data sensor yang sudah menggunakan teknologi internet of things. Tujuan dari penelitian ini adalah mempermudah kinerja peneliti dalam melakukan pemantauan objek pada lab ISURF dari jarak jauh. Perancangan web dilakukan menggunakan framework Laravel 7.2 dengan API untuk integrasi backend. Keluaran dari penelitian ini adalah grafik data real time yang membaca data sensor dengan dikembangkannya sistem monitoring pada lab ISURF dengan melakukan pengujian secara black box dengan hasil uji bahwa sistem dapat berjalan 100% dengan benar sesuai dengan kebutuhan utama pengguna dan sistem. Metode yang digunakan adalah metode Waterfall., There are many methods of growing plants to get yields with varying quality. However, it can not be ascertained how to get high-quality crops continuously because there is no direct monitoring and maintenance of objects. To overcome this problem, it will be provided for researchers to be able to carry out monitoring and maintenance in order to get high quality crops. This research is mainly focus on front-end web based system by using sensor data that related with internet of things technology. The purpose of this research is to help researcher in monitoring object in lab ISURF remotely. This research is builded by Laravel 7.2 for the framework combined with API for backend integration. The output of this research is a real time data graph that reads sensor data with the development of a monitoring system in the ISURF lab by conducting black box testing with test results that the system can run 100% correctly according to user and system needs. This percentage figure is because there are still some functions that have not been made so that the system can be more efficient and effective, such as the notification function. The method used is the Waterfall method.
Keyword: front-end, internet of things, lab ISURF, monitoring system, web

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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