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Measuring Water Content in Hydroponic Plants Based on PH Values and Nutriens Using Fuzzy Logic Microcontroller Based Tsukamoto Julianti, Miranda; Rakhmat Kurniawan R
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i4.4764

Abstract

Hydroponic cultivation is a method of planting without soil by utilizing water containing nutrients and oxygen at certain levels. Regulation and monitoring of pH, nutrients (TDS), and water temperature are crucial factors in the success of a hydroponic system. Inaccuracies in nutrient water management can significantly affect plant growth. This study aims to design an automation system capable of monitoring pH and water nutrient levels using the Fuzzy Tsukamoto method based on the Nodemcu ESP32 microcontroller. The sensors used in this study are the MSP340 pH Module sensor to measure acidity (pH) and the Df Robot Module TDS sensor to detect nutrient levels in water. The Fuzzy Tsukamoto method is applied to make fuzzy logic-based decision-making, where the input values of pH and nutrients are converted into linguistic variables. The fuzzyfication process is carried out to determine the level of plant fertility, while the inference method is used to produce output based on previously set rules. This monitoring system also utilizes the Nutrient Film Technique (NFT) technique with a linear regression method to optimize the use of water pumps, making it more energy efficient. With the design of this system, hydroponic farmers can monitor water conditions automatically and in real-time, increasing efficiency and reducing human error in nutrient water management. The results of this study are expected to provide innovative solutions for the development of more efficient and sustainable hydroponic systems.
Rancang Bangun Sistem Informasi Pengelolaan Arsip Dokumen Berbasis WEB pada PT. BPRS Amanah Insan Cita Julianti, Miranda; Aulia, M. Arif; Rifki, Muhammad Ikhsan
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 3 No. 3 (2023): November: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v3i3.2303

Abstract

Sistem informasi berbasis web adalah kombinasi dari teknologi informasi berdasarkan suatu situs pada jaringan internet yang dilengkapi dengan fitur-fitur dan didesain sedemikian rupa sesuai kebutuhan pada penginputan suatu data tertentu bertujuan untuk mempermudah dan mempercepat data yang diolah meskipun pengguna tersebut merupakan pemula. Perusahaan memanfaatkan perkembangan teknologi internet dan sistem Informasi yang berkembang pesat saat ini. PT. BPRS Amanah Insan Cita adalah lembaga keuangan yang kegiatannya menghimpun dana, menyediakan pembiayaan dan penempatan dana kepada masyarakat Indonesia khususnya masyarakat kota medan dan sekitarnya berdasarkan prinsip syariah dan bagi hasil yang telah disepakati kedua belah pihak baik nasabah maupun bank. Metode yang diterapkan dalam penelitian ini adalah metode waterfall yang merupakan sebuah model metode penelitian sistematis dan sequence yang layak diterapkan dalam melakukan penelitian ini karena metode ini menyajikan tahap demi tahap yang sangat sesuai dengan keadaan di lapangan. Dengan adanya sistem informasi ini, maka dapat memberikan informasi yang tepat dan cepat terkait data arsip dokumen pada PT BPRS Amanah Insan Cita.
Development of Image Processing to Visualize Car Dimensions Using Matlab Software Julianti, Miranda; Purba, Ony Hizri Kaifa; Sephia, Putri Aisyah
Bigint Computing Journal Vol 1 No 2 (2023)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v1i2.782

Abstract

In an era of increasingly advanced technology, the development of image processing techniques has become important in various fields, including the automotive industry. One important aspect in the automotive industry is understanding and visualizing car dimensions with high accuracy. In this research, we propose the development of image processing techniques using MATLAB software to visualize car dimensions. The proposed method involves a series of image processing steps, including car object segmentation, binary image, and image editing. First, the car image is imported into MATLAB software and converted into a grayscale image. Next, segmentation of the car object is carried out using an appropriate threshold technique. Next, the feature extraction results are used to visualize the dimensions of the car. This visualization can be in the form of a 2D diagram that displays the dimensions of the car proportionally, or a 3D model that shows a three-dimensional view of the car. Through this visualization, users can easily see and understand the dimensions of the car without the need for complicated manual measurements.