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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Techno Jurnal Rekayasa elektrika
Arief Setyo Nugroho
Universitas Ahmad Dahlan
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Citra Kawasan Konservasi Penyu Pesisir Pantai Yogyakarta Menggunakan Foto Udara Berbasis EmguCV Son Ali Akbar; Anton Yudhana; Arief Setyo Nugroho
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 4, No 2 (2018)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (491.665 KB) | DOI: 10.26555/jiteki.v4i2.11954

Abstract

Wilayah konservasi penyu masih perlu dilestarikan dan terdokumentasikan melalui pemetaan titik pendaratan penyu dipesisir pantai. Saat ini upaya kegiatan pemetaan kawasan konservasi masih dilakukan dengan cara pengamatan lansung dan penandaan menggunakan peralatan sederhana. Di sisi lain proses dokumentasi titik pendaratan penyu menjadi kendala sebab tidak dibantu dengan peralatan memadai. Maka melalui penelitian ini, dengan penerapan teknologi pesawat tanpa awak (UAV) sehingga dapat membantu pengamatan secara langsung kawasan konseravasi melalui foto udara. Adapun dengan aplikasi hasil citra area konservasi dilakukan proses pembuatan citra panorama untuk mendokumentasikan peta kawasan konservasi. Penelitian ini membangun sebuah aplikasi pembuatan citra panorama memanfaatkan library EmguCV dengan metode penjahitan citra (Image Stitching). Analisis keberhasilan metode penjahitan citra menjadi citra panorama diperoleh rerata akurasi 94,91%.
Sistem Pengenalan Botol Plastik Berdasarkan Label Merek Menggunakan Faster-RCNN Arief Setyo Nugroho; Rusydi Umar; Abdul Fadlil
Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) Vol 21, No 2 (2020): Techno Volume 21 No.2 Oktober 2020
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/techno.v21i2.8635

Abstract

Penumpukan botol plastik saat ini sudah tidak terkendali sehingga mengakibatkan polusi pada lingkungan. Sampah botol plastik saat ini dapat ditukar dengan imbalan yang beragam. Sehingga proses sortir botol plastik dapat dilakukan untuk memilih sampah botol plastik. Pada penelitian isi dibuat sistem yang dapat menganali dan mengklasifikasi botol pastik berdasarkan label merek dengan 5 kelas berukuran sedang atau 600ml. Metode yang akan digunakan adalah teknik pengolahan citra dengan menggunakan Convolutional Neural Network  dengan Tensorflow dan model data Faster-RCNN. Penelitian dibagi menjadi 3 bagain yaitu pre-processing, training, dan testing. Pengujian dilakukan dengan menampilkan hasil dari proses bagian yang akan dilakukan serta menampilkan hasil akurasi. Berdasarkan dari hasil pengujian sistem dapat mengenali objek dengan baik dengan akurasi sebesar 87,12%
Sistem Monitoring Kolesterol Melalui Iris Mata dengan Metode Pengolahan Citra Abdul Fadlil; Wahyu Sapto Aji; Arief Setyo Nugroho
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (824.444 KB) | DOI: 10.17529/jre.v16i1.15657

Abstract

Early detection to determine the presence or absence of cholesterol in the body is a necessity for everyone who wants to live healthy. Many diseases can be caused by the  presence of cholesterol such as heart disease, stroke, nerve disorders, kidney problems, hypertension, and etc. Therefore, cholesterol detection must be done regularly. This study discusses about the cholesterol detection system through the iris eyes using image processing and monitoring progress in continously. Detection of cholesterol can be observed with Arcus Senilis or a gray ring in the iris eyes. Tests carried using 15 samples which cholesterol identifed. The process of image processing consists of image acquisition, sharpening, segmentation, convert grayscale and binary images. Cholesterol can be identify with difference between pixel values 0 (black) and pixel values 1 (white) in binary images. Research data will be stored in an Excel format database with adding some user data. From the test, results analysis carried the try and error threshold method using values of 80, 100, 150, and getting an accuracy of 87%, 73%, and 33%. Besides, monitoring cholesterol can be carried using a system interface and database with adding the required data and can display it on excel.
Sistem Monitoring Kolesterol Melalui Iris Mata dengan Metode Pengolahan Citra Abdul Fadlil; Wahyu Sapto Aji; Arief Setyo Nugroho
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i1.15657

Abstract

Early detection to determine the presence or absence of cholesterol in the body is a necessity for everyone who wants to live healthy. Many diseases can be caused by the  presence of cholesterol such as heart disease, stroke, nerve disorders, kidney problems, hypertension, and etc. Therefore, cholesterol detection must be done regularly. This study discusses about the cholesterol detection system through the iris eyes using image processing and monitoring progress in continously. Detection of cholesterol can be observed with Arcus Senilis or a gray ring in the iris eyes. Tests carried using 15 samples which cholesterol identifed. The process of image processing consists of image acquisition, sharpening, segmentation, convert grayscale and binary images. Cholesterol can be identify with difference between pixel values 0 (black) and pixel values 1 (white) in binary images. Research data will be stored in an Excel format database with adding some user data. From the test, results analysis carried the try and error threshold method using values of 80, 100, 150, and getting an accuracy of 87%, 73%, and 33%. Besides, monitoring cholesterol can be carried using a system interface and database with adding the required data and can display it on excel.
Co-Authors Abdul Fadlil Abdul Fadlil Anton Yudhana Rusydi Umar Son Ali Akbar Wahyu Sapto Aji