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: Design of a Monitoring System for Agricultural Cultivation Parameters in Controlled Enviroments Based on Internet of Things
Abstrak: Budidaya pertanian pada lingkungan terkendali dirancang untuk mengoptimalisasi kegiatan budidaya, pengendalian hama/penyakit, dan peningkatan produktivitas. Beberapa parameter budidaya yang dikendalikan antara lain suhu udara, kelembaban udara relatif, intensitas cahaya, suhu perakaran, dan kelembaban perakaran, yang perlu dipantau. Sistem yang memantau parameter ini diperlukan sebagai dasar pengendalian lingkungan budidaya. Penelitian ini bertujuan merancang sistem pemantauan yang mendukung pengendalian budidaya pertanian pada lingkungan terkendali (plant factory, greenhouse, dan screenhouse) berbasis Internet of Things (IoT). Metode yang digunakan dalam penelitian ini adalah System Development Life Cycle (SDLC) yang terdiri dari tahap analisis kebutuhan sistem, desain sistem, implementasi sistem, dan pengujian sistem. Hasil penelitian berupa sistem pemantauan yang mencakup konfigurasi perangkat keras, perangkat lunak, jaringan, basis data, dan manajemen pengguna dalam bentuk antarmuka pengguna. Sistem dapat diakses melalui website www.digitalfarming.my.id. Hasil pengujian fungsional menunjukkan semua perangkat berfungsi baik. Berdasarkan uji System Usability Scale (SUS), sistem layak digunakan dengan nilai SUS 79, yang artinya sistem dapat diterima pengguna dan masuk dalam kategori B atau baik., Controlled environment agriculture is designed to optimize cultivation activities, pest/disease control, and productivity enhancement. Key parameters to monitor include air temperature, relative humidity, light intensity, root temperature, and root moisture. A system to monitor these parameters is essential for controlling the cultivation environment. This study aims to design a monitoring system that supports agricultural cultivation control in controlled environments (plant factory, greenhouse, and screenhouse) based on the Internet of Things (IoT). The method used in this research is the System Development Life Cycle (SDLC), which includes system requirements analysis, system design, system implementation, and system testing. The research results include a monitoring system comprising hardware configuration, software, network, database, and user management in a user interface. The system can be accessed via the website www.digitalfarming.my.id. Functional testing results show all devices operate well. Based on the System Usability Scale (SUS), the system is feasible to use with a SUS score of 79, indicating that the system is acceptable to users and falls into the B or good category.
Keyword: internet of things, monitoring system, website, agricultural cultivation, controlled environment

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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