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All Journal JAREE (Journal on Advanced Research in Electrical Engineering) Prosiding Simposium Nasional Rekayasa Aplikasi Perancangan dan Industri
Mubin, Mohammad Nasrul
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Telemonitoring Suhu, Kelembapan, dan pH Tanah untuk Tanaman Aglaonema Rohmah, Ratnasari Nur; Raihan, Muhammad Ramadani; Budiman, Aris; Mubin, Mohammad Nasrul; Nurokhim, N
Prosiding Simposium Nasional Rekayasa Aplikasi Perancangan dan Industri 2023: Prosiding Simposium Nasional Rekayasa Aplikasi Perancangan dan Industri
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Musim kemarau dapat menyebabkan perubahan suhu dan kelembapan tanah pada tanaman aglaonema menjadi kurang optimal. Hal tersebut dapat mempengaruhi keindahan warna dan corak daunnya. Penelitian ini bertujuan untuk merancang sistem monitoring tanaman aglaonema secara online. Sistem yang dikembangkan adalah sistem telemonitoring berbasis mikrokontroler ESP32 yang dilengkapi dengan kemampuan untuk terhubung perangkat lain melalui internet. Monitoring suhu dilakukan dengan memanfaatkan sensor DS18B20, monitoring kelembapan tanah dengan sensor YL-69, dan monitoring pH tanah dilakukan dengan memanfaatkan sensor pH tanah. Hasil pengukuran besaran fisik oleh ketiga sensor ini diolah oleh mikrokontroler dan selanjutnya data monitoring ini akan dikirimkan ke pengguna melalui jaringan internet. Selanjutnya pengguna menerima data hasil monitoring ini melalui aplikasi blynk yang ada pada telepon genggam. Selain pengiriman data melalui internet, alat ini juga bisa menampilkan data monitoring di tempat dengan penampil LCD. Pengujian kinerja alat memperlihatkan bahwa alat. dapat bekerja dengan baik sesuai rancangan. Hasil uji coba yang dilakukan sebanyak 10 kali percobaan pada media tanaman mempelihatkan hasil rata-rata persentase kesalahan alat masing-masing sebesar 3,032% untuk sensor suhu, 9,08% untuk sensor kelembapan tanah, dan 6,34% untuk sensor pH tanah.
Perspective Transformation Automation In Identification Of Parking Lot Status With Blob Detection Mubin, Mohammad Nasrul; Kusuma, Hendra; Rivai, Muhammad
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 7, No 2 (2023): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v7i2.364

Abstract

Implementation of automation greatly facilitates the work of a system. This research automates the search for perspective transformation coordinates. In previous study, the process was done manually and was considered time-consuming and costly. The search for these coordinates is carried out with the help of red circles at several points in the parking area to be identified. There are two cases of images to be automated, namely the image of the parking area without obstacles and with obstacles. In the unobstructed images, the identification of transformation coordinates is carried out by identifying the coordinates of the auxiliary circle. Whereas in the images with obstructions, the identification of the transformation coordinates also involves the intersection equations of lines. The process of identifying the coordinates is done with the condition of the parking lot without a single vehicle. Once the coordinates are obtained, all coordinates are stored and will be used in the perspective transformation process in status parking slot identification stage. The identification stage is same with previous study. The proposed system 100% able to identify the transformation coordinates and carry out the perspective transformation process as expected. Of the 900 samples in each case, we acquire 100% recall, and most of the parking slot identification status being above 85% precision and accuracy. Compared to previous studies, the proposed system is more effective, with recall, precision, and accuracy values at 100%. The effectiveness of the proposed system is even more evident with average data automation time is 31.689 seconds.
Co-Authors Aris Budiman Hendra Kusuma Muhammad Rivai Nurokhim, N Raihan, Muhammad Ramadani Ratnasari Nur Rohmah