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Features of Household Solid Waste Object Recognition on Garbage Collector Robot (GACOBOT) Abdurahman; Prasetyo, Aditya Putra Perdana; Rendyansyah, Rendyansyah; Exaudi, Kemahyanto; Abdurahman, Abdurahman; Septian, Tri Wanda
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.771 KB) | DOI: 10.25077/jnte.v10n3.834.2021

Abstract

Solid waste or garbage is one of the problems that must be faced by the world's population so that life becomes more harmonious. Through a series of studies, a Garbage Collector Robot (GACOBOT) was created which is expected to help humans overcome this problem in terms of garbage collection. By adding a feature in the form of object recognition, the waste can be sorted by type so that it can be grouped and processed further. In this research, using the Support Vector Machine (SVM) classification method based on the feature extraction of the Histogram of Oriented Gradients (HOG) as the main method. Researchers used 14 pieces of data as training data and 10 pieces of data as test data. From the results of the tests that have been carried out, it has been obtained a success rate of 100% that the system has succeeded in separating waste into 2 types, namely plastic bag waste and glass bottle waste.
Prototype of Automatic Control System for Water Temperature and Acidity in Ornamental Fish Aquarium Based on Internet of Things (IOT) Hermansyah, Adi; Septian, Tri Wanda; P, Aditya Putra Perdana; Faris, Mgs Muhammad
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i3.174

Abstract

The Internet of Things (IoT) has brought changes to modern life, such as automatic traffic lights, smart homes, optimizing energy utilization, and monitoring water conditions in ornamental fish. It is necessary to design an integrated system that can monitor and maintain stable water conditions and is suitable for ornamental fishing. This paper describes the design of an automatic control system tool for regulating water temperature and acidity in an IoT-based fish aquarium. The design of the tool consists of a NodeMCU ESP 8266 as the microcontroller, connected to DS18B20 to measure water temperature, and PH-4502C to measure acidity. The application of the control system in the aquarium works well, with an average temperature of 28.99 centigrade and a pH of 5.44.