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Lokalisasi Optic disc Menggunakan Filter Pembuluh Darah Vertikal Uniplaita, Tiper K. M.; O, Theresia Wuri; Suparno, Suparno; Handoko, Handoko; Bay, Johanis Aryo P. B.; Revassy, Rosalina N
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

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Abstract

Tulisan ini menjelaskan metode untuk melakukan lokalisasi optic disc. Metode yang digunakan untuk melokalisasi optic disc ditentukan oleh keberadaan pembuluh darah vertikal dan daerah paling terang pada citra retina. Pengujian metode menggunakan 56 citra fundus retina dengan resolusi spasial sebesar 605x700. Hasil pengujian menunjukan tingkat keberhasilan lokalisasi optic disc sebesar 96%. Terdapat juga perbandingan hasil lokalisasi optic disc, antara metode deteksi pembuluh darah vertikal yang dikembangkan pada penelitian ini, dengan metode fuzzy convergence pada penelitian terdahulu. Pengujian menggunakan 56 citra fundus retina yang sama. Hasil perbandingan menunjukan selisih deteksi optic disc antara kedua metode adalah sebesar 25 piksel.
IOT-BASED MOBILE MANIPULATOR PROTOTYPE USING ESP 32 AND ESP 8266 Revassy, Rosalina N; Suparno; Ramadhana, Dwi
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18722496

Abstract

This research focuses on the design and implementation of an Arduino-based mobile robot equipped with an ESP32 camera. The primary goal is to develop a mobile manipulator prototype that can be controlled remotely via a mobile or web application. This project also aims to identify the required electronic components, understand their integration with the ESP32 module, and evaluate the ESP32's advantages over the Arduino Uno. The method used is a development research approach, involving literature review on robotics, Arduino programming, and image processing with the ESP32-CAM and ESP8266. The research stages include system design, component selection, mechanical design, and electronic circuit design. Programming code development is carried out iteratively, starting with basic functions such as motor movement and image capture, to more complex functions such as simple object recognition. Testing of the mobile manipulator prototype demonstrates that the hardware and software developed are functional. The robot is capable of motion control, image transmission from the ESP32-CAM to a smartphone, and the ESP8266 can transport light objects. However, there are several challenges, such as overheating of the ESP32-CAM and ESP8266 modules, as well as potential malfunctions in the SG90 servo motor and DC gearbox motor.