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: Pengembangan Modul Back-End pada Sistem Monitoring Laboratorium I-Surf berbasis Web
Abstrak: Kekayaan sumber daya alam di Indonesia yang berlimpah seharusnya dapat menjadi peluang untuk mengembangkan sektor pertanian. Oleh karena itu, dibutuhkan inovasi pengembangan pada sektor pertanian untuk mengoptimalkan serta meningkatkan produktivitas pertanian. Laboratorium Internet of Things for Smart Urban Farming (I-Surf) merupakan laboraturium milik Departemen Ilmu Komputer IPB. Salah satu penelitian yang terdapat pada laboratorium tersebut menggunakan alat-alat sensor. Untuk itu, guna memudahkan proses monitoring data yang dihasilkan dari pengukuran alat sensor pada Laboratorium I-Surf dari jarak jauh, dibutuhkan pengembangan sebuah web. Penelitian ini berfokus pada pengembangan bagian modul back-end dari sistem monitoring Laboratorium I Surf berbasis web, yaitu membangun Representational State Transfer Application Programming Interfaces (REST API) dan mengelola basis data. Metode penelitian yang digunakan dalam pengembangan sistem ini adalah Waterfall. Sistem ini dibangun menggunakan teknologi framework Laravel, sedangkan untuk implementasi basis data menggunakan MySQL. Pengembangan modul back-end dari Sistem Monitoring Laboratorium I-Surf telah berhasil dikembangkan., The abundant wealth of natural resources in Indonesia should be an opportunity to develop the agricultural sector. Therefore, innovation development in the agriculture sector is needed to optimize and increase agricultural productivity. The Internet of Things for Smart Urban Farming (I-Surf) Laboratory is a laboratory owned by the Department of Computer Science IPB. One of the studies in the laboratory uses sensor devices. For this reason, in order to facilitate the process of monitoring data generated from measuring sensor devices at the I Surf Laboratory from a distance, the development of a web is needed. This research focuses on developing the back-end module section of the web-based Laboratory I-Surf monitoring system, which is building a Representational State Transfer Application Programming Interfaces (REST API) and managing the database. The research method used in the development of this system is Waterfall. This system was built using the Laravel framework technology, while for database implementation using MySQL. The back-end module development of the I-Surf Laboratory Monitoring System has been successfully developed.
Keyword: back-end, monitoring, REST API, waterfall, 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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