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All Journal Jurnal Informatika dan Rekayasa Perangkat Lunak Eastasouth Journal of Positive Community Services
Pascal Aditia Muclis
Universitas Nusa Putra
Computer Science & IT Social Sciences

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Seminar Robot Tempat Sampah di SMK YASPIM Pascal Aditia Muclis
Eastasouth Journal of Positive Community Services Vol 1 No 01 (2022): Eastasouth Journal of Positive Community Services
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2612.804 KB)

Abstract

Setiap hari manusia menghasilkan limbah, baik limbah rumah tangga maupun limbah industri yang memiliki berbagai bentuk dan jenis. Sampah bisa menjadi masalah karena mengganggu kesehatan manusia, menimbulkan bau tak sedap dan polusi udara. Kesadaran membuang sampah di tempatnya saat ini dinilai sangat kurang. Hal ini dikarenakan tempat sampah masih menggunakan cara yang sederhana yaitu dengan cara membuka dan menutup tempat sampah secara manual. Hal ini akan menyebabkan tangan menjadi sangat rentan terhadap bakteri dari sampah. Dalam kegiatan ini dijelaskan bagaimana merancang smart bisnis yang berfungsi menarik minat masyarakat pada umumnya dan siswa SMK YASPIM untuk membuang tempatnya menggunakan Arduino Uno R3. Manfaat lainnya adalah menyadarkan masyarakat akan pentingnya kesehatan dengan membuang sampah.
Penerapan Algoritma Backpropagation Untuk Text Recognition Yang Ditranslate Ke Bahasa Daerah Somantri -; Pascal Aditia Muclis; Ivana Lucia Kharisma
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 5, No 1 (2023): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v5i1.6998

Abstract

Every area of the community there is information, news, announcements or notifications through print media such as pictures, banners, posters and paper. However, there are many foreign languages (English) in the information which makes people not understand the language, because people only understand their own regional language (Sundanese) and the lack of media to help people understand the regional language (Sundanese) to a foreign language (English). Therefore, the author takes research on android-based text detection. Text detection or called Optical Character Recognition (OCR) is a system that can detect text into data files that can be processed in such a way. The method of collecting data or information in this study uses qualitative, the method for developing this system uses the waterfall method which has the advantage of being able to accelerate system development and using a backpropagation algorithm for text recognition. Backpropagation algorithm is an algorithm that can minimize errors, so as to make text detection more accurate. The results of the text detection accuracy are 97% and the error accuracy results are 3%, the text accuracy results are taken from a total of 14 samples, and 68 words. The results of text detection are affected by several cases such as the type of text font, the level of light in the image and the direction in which the photo or image is taken.
Co-Authors IVANA LUCIA KHARISMA Somantri Somantri