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All Journal TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Journal Of Computer Science Contributions (JUCOSCO)
Inna Ekawati
Universitas Islam 45 Bekasi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Deteksi Denyut Jantung Embrio Ikan Oryzias Celebencis Menggunakan Dekomposisi Kuantil Abu-Abu Inna Ekawati; Annisa Firasanti
TELKA - Jurnal Telekomunikasi, Elektronika, Komputasi dan Kontrol Vol 9, No 1 (2023): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v9n1.62-73

Abstract

Studi ini mengembangkan pendekatan untuk mengekstrak ciri warna sebagai referensi utama untuk mendeteksi area objek yang bergerak dalam video. Video dalam proyek ini memuat rekaman denyut jantung ikan Oryzias Celebencis yang masih dalam rupa embrio. Metode yang diusulkan pertama-tama melakukan penapisan frame berwarna dalam ruang RGB memakai filter median dan bilateral. Lalu, frame yang telah ditapis menjalani proses konversi ke ruang warna abu-abu. Pada titik ini, frame keabuan akan diurai memakai pendekatan kuantil, ke segmen-segemen warna pembentuknya. Segemen ini dideteksi keberadaan pergerakan objek didalamnya sekaligus disertai dengan perhitungan denyutannya yang timbul berdasarkan pelebaran/penyusutan region objek saat proses pemompaan darah oleh jantung. Metode yang diajukan mampu mengekstrak objek bergerak dalam video dengan IoU sebesar 85% luasan area objek yang bergerak. Penelitian ini berhasil mendeteksi jantung dengan MSE sebesar 0,5; lebih kecil jika dibandingkan dengan rata-rata intensitas objek bergerak yang deteksi oleh software imageJ yang mendapatkan nilai MSE sebesar 396,625. Metode yang diusulkan mampu mengurangi pembentukan puncak palsu dalam grafik puncak/lembah denyutan jantung. This study develops an approach to extract colour characteristics as the primary reference for detecting areas of moving objects in video. The video in this project contains recordings of the heartbeat of the Oryzias Celebencis fish, which is still in the form of an embryo. The proposed method first performs filtering of coloured frames in RGB space using median and bilateral filters. Then, the filtered frame converts to a grey colour space. The grey frame will be decomposed using a quantile approach into its constituent colour segments. This segment detects the presence of the object's movement and the calculation of its pulsation that arises based on the pulsation of the object's region during the process of blood pumping by the heart. Our method can extract moving objects in video with an IoU of 85% of the moving object area. We have detected a heart with an MSE of 0.5, more minor than the average intensity of moving objects detected by the ImageJ software, which obtained an MSE value of 396,625. Our proposed method can reduce the formation of false peaks in the heart rate peak/valley graph.
Pelatihan Pemanfaatan Software Pendukung Dalam Pembuatan Artikel Ilmiah Terpublikasi Bagi Guru-Guru SMA Herlawati Herlawati; Prima Dina Atika; Andy Achmad Hendharsetiawan; Rahmadya Trias Handayanto; Malikus Sumadyo; Retno Nugroho Whidhiasih; Inna Ekawati; Dadan Irwan; Haryono Haryono
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 2 (2023): Juli 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/sgfq4k95

Abstract

Supportive software for scientific article creation is an application that assists in writing scientific articlesefficiently and effectively. This software features reference management, note-taking, text review, andformatting according to academic standards. The training to be provided will focus on creating scientificarticles using supportive software to enhance the competence of teachers in publishing their scientific articles.By understanding how to create scientific articles, high school teachers can improve their academic abilities,serve as positive examples for students, provide resources, and contribute to research and educationaldevelopment. This can help improve the quality of education and produce competent and skilled students. Theproposed solution is to organize training on the utilization of supportive software in scientific article creation.This training will provide understanding and skills in using software such as Mendeley and ChatGPT. Mendeleyis a reference management software that assists in collecting, managing, and storing references for scientificarticles. Additionally, Mendeley helps organize references according to various writing styles such as APA,MLA, Chicago, Vancouver, and IEEE. ChatGPT, on the other hand, is a natural language model that helpsgenerate structured and meaningful texts. In the context of scientific article creation, ChatGPT can assist informulating and organizing ideas or concepts, as well as providing suggestions or feedback for scientificwriting. Both of these software options can be chosen based on the needs and preferences of the writer. Theresults of this training, based on a survey using an online mentimeter, showed that it was very useful and theparticipants wanted to continue this training.
Co-Authors Andy Achmad Hendharsetiawan Annisa Firasanti Dadan Irwan Haryono Haryono Herlawati Herlawati Malikus Sumadyo Prima Dina Atika Rahmadya Trias Handayanto Retno Nugroho Whidhiasih