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: Sistem Informasi Inventory Laboratorium Pusat Studi Surfactant
and Bioenergy Research Center
Abstrak: Pengelolaan inventaris laboratorium merupakan aspek kritis dalam menjaga kelancaran operasional dan keberlanjutan kegiatan penelitian di lingkungan laboratorium. Oleh karena itu, pengembangan sistem informasi inventory laboratorium menjadi suatu kebutuhan mendesak untuk meningkatkan efisiensi dan akurasi manajemen inventaris. Selama ini proses inventaris yang dilakukan di pusat studi surfactant and bioenergy research center (SBRC) masih menggunakan cara konvensional. Alat dan bahan laboratorium didata oleh administrator yang bertugas, kemudian hasil pendataan tersebut dicatat dalam buku. Hal ini mengakibatkan pengelolaan data inventaris tidak akurat dari waktu ke waktu. Penelitian ini bertujuan untuk mengembangkan sebuah sistem informasi inventory laboratorium yang dapat meningkatkan pengelolaan inventaris, pemantauan stok, dan efektivitas manajemen laboratorium. Pengembangan sistem menggunakan metode waterfall dan dibuat berbasis web menggunakan framework Laravel dengan konsep Model View Controller (MVC) yang didukung basis data MySQL. Dengan implementasi sistem informasi inventory ini, laboratorium SBRC dapat meningkatkan efisiensi, transparansi, dan akurasi dalam pengelolaan inventaris laboratorium., Laboratory inventory management is a critical aspect in maintaining smooth operations and sustainability of research activities in the laboratory environment. Therefore, developing a laboratory inventory information system is an urgent need to increase the efficiency and accuracy of inventory management. So far, the inventory process carried out at the surfactant and bioenergy research center (SBRC) still uses conventional methods. Laboratory equipment and materials are recorded by the admin on duty, then the results of the data collection are recorded in a book. This results in inaccurate inventory data management from time to time. This research aims to develop a laboratory inventory information system that can improve inventory management, stock monitoring and laboratory management effectiveness. System development uses the waterfall method and is made web-based using the Laravel framework with the Model View Controller (MVC) concept supported by the MySQL database. By implementing this inventory information system, the SBRC laboratory can increase efficiency, transparency and accuracy in managing laboratory inventory.
Keyword: Pengembangan sistem, System development, System Development, Metode Waterfall, Waterfall, Waterfall Method, laboratorium, laboratory, mvc, sistem informasi inventory

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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