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All Journal Dinamika Hukum Bioma : Berkala Ilmiah Biologi Jurnal Ilmu keperawatan Journal of English Teaching, Literature, and Applied Linguistics Devotion: Journal Corner of Community Service Jurnal Pemberdayaan Ekonomi Praeparandi : Jurnal Farmasi dan Sains Jurnal Manajemen Dan Akuntansi Medan PANDU: Jurnal Pendidikan Anak dan Pendidikan Umum Jurnal Hukum Ekonomi Syariah Review: Journal of Multidisciplinary in Social Sciences Talent: Journal of Economics and Business IT-Edu: Jurnal Information Technology and Education Journal of Electronics and Instrumentation Studia Ekonomika AL ITQAN: Jurnal Studi Al-Qur'an JURNAL ILMIAH KESEHATAN
Nurul Kholifah, Nurul
Program Studi Ilmu Keperawatan, FK UGM, Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Physics Social Sciences

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Journal : Journal of Electronics and Instrumentation

 1 
Deteksi Fitur Wajah pada Hasil Usg 3D Janin dengan Algoritma Viola-Jones Hikmatul Wilda; Kholifah, Nurul; Desy Fitri Wulandari; Ainayya Halifah
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.703

Abstract

Ultrasound (Ultrasonography) is a medical imaging technology used for monitoring fetal development during pregnancy. It produces visual images that support the process of medical diagnosis and pregnancy monitoring. Image processing is used to process and analyze digital images, providing valuable additional information. One of the methods used in image processing is the Viola-Jones algorithm. The Viola-Jones algorithm is commonly used to detect objects in image processing and computer vision, especially human faces. Face detection using the Viola-Jones algorithm can be implemented using software such as Matlab and Python. However, in this experiment, there were difficulties in using the Viola-Jones algorithm to detect baby ultrasound images. This is caused by the position seen from the side in the baby's ultrasound image and the uniformity of color throughout the face. In fact, some features such as eyebrows and eyes are difficult to recognize clearly. In addition, the resulting training files may not provide consistent results on other samples due to complex variations in infant ultrasound images.
Karakterisasi Sistem Sensor LDR Berdasarkan Perbedaan Panjang Gelombang Cahaya Kholifah, Nurul; Ratna Arum Febrianti; Gladyns Anandita Yasmin; Nurul Fatma Hidayati
Journal of Electronics and Instrumentation Vol. 1 No. 2 (2024)
Publisher : Fakultas MIPA, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jei.v1i2.704

Abstract

LDR is a type of resistor whose resistance value is influenced by light. LDRs can have varying sensitivity and linearity depending on the type of LDR used. LDR light sensors have different sensitivities to each color variation of light that hits them with their respective wavelengths. An LDR with high sensitivity will show a greater change in resistance when there is a change in the level of light received. LDR linearity is a measure of the extent to which its resistance response to changes in light levels is linear or not. This experiment uses two types of circuits, namely series and parallel circuits to obtain current values ​​when the light intensity is varied in order to test the sensitivity and linearity of the LDR sensor. The LED color variations used are white, red, green and blue. The circuit that produces a large current is a parallel circuit, but in a system with red and blue LEDs the opposite happens, there is a small difference which causes the current in the series circuit to be greater. The R square value in the regression value data for voltage and intensity against the resistance of each LED color starting from white, red, green and blue respectively is 0.868747; 0.765793; 0.833222; and 0.798801.
Co-Authors A.A. Ketut Agung Cahyawan W Agung Susanti, Dwi Ainayya Halifah Akbar, Hikmal Akuan, Muhammad Farel Anjastika, Luky Septiansyah Apriana , Dwi Aprilia, Intan Eka Az Zahra, Intan Basyuni, Maftuh Calosa, America Rachmasari Chaniago, Nicco Chaisar Desy Fitri Wulandari Dewi, Ayu Karmila Dewi, Nurul Aulia Elisabeth, Febriyani Gilang Ramadhan Gladyns Anandita Yasmin Gumay, Nanda Fathiyah Haryandi, Yopi Haryati, Ety Hikmatul Wilda Humairoh, Mamai Kasih, Eka Wahyu Laela, Nurlaela Lely Lusmilasari, Lely Lestari, Triana Yuni Lisa Amelia Magdalena Magdalena Manova , Eka Widia Arta Muzaqi, Faqih Imam Nabhan, Azzah Muaribah Nazulfah, Indah Nurhasanah, Cindy Reyna Nurlela Nurul Fatma Hidayati Oktaviani, Haifah Dwi Pratama, Tania Lingga Rafik, Muhammad Ramdhani, Hadiyati Adilla Ratna Arum Febrianti Rifdah, Assyifa Saputra, Aditia Jaya Saraswati, Diah Ayu Satria Bangsawan SETYA CHENDRA WIBAWA Siti Komariah Siti Patonah Sunarsa , Sasa Syarif, Arman Tri Damayanti, Tri Utami, Riyandini Riyan Wahyu Taufiq Widiya, Yayu Yusa, Viola