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All Journal International Journal of Electrical and Computer Engineering Majalah Forum Teknik UGM JURNAL SISTEM INFORMASI BISNIS Jurnal Sistem Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate : Jurnal Ilmiah Indonesia Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Ilmu Teknik dan Komputer Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prosiding Seminar Nasional Unimus
Oky Dwi Nurhayati
Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Transportation

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Journal : Jurnal Sistem Komputer

 1 
Detection of the Breast Cancer from Thermal Infrared Images Dwi Nurhayati, Oky; Sri Widodo, Thomas; Susanto, Adhi
Jurnal Sistem Komputer Vol 1, No 2 (2011)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v1i2.14

Abstract

Thermography can be used as part of an earlydetection tool which gives women of all ages the opportunityto increase their chances of detecting breast diseases at avery early stage. Breast thermography is a noninvasiveprognostic procedure which can predict a tumor growth ratein breast cancer patients. The objective of this research is toacquire the potential of the statistical characteristics of thebreast thermogram images for the detection of the breastcancer.For this research we use thermal data images fromSardjito hospital at Yogyakarta, from normal and abnormalbreast (detected breast cancer). Firstly, download the breastimage thermograms from the InsideIR software of FlukeTi20 and save them as the inputs to our image processingprogram. Then adjust the format of the images, convert tograyscale images, and crop them to separate the suspectedobjects from the background. Finally we tabulated thestatistical characteristics of the objects which are the means,standard deviations, and entropy to reveal the abnormalitiesof breast thermograms.The results show that the method are promising todetect the abnormality on the breast thermogram images.The normal breast thermograms have minimum entropieswhich differ from those abnormal thermograms in the earlystage of breast cancer and thesignificantly from the moreadvanced of breast cancer.
PENGGUNAAN APLIKASI BANTUAN (SAKPA) DALAM MEMPERMUDAH PEMBUATAN LAPORAN KEUANGAN nurhayati, oky dwi; Ningrum, Alifvia Arvi
Jurnal Sistem Komputer Vol 2, No 2 (2012)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v2i2.39

Abstract

Financial treasure at each agency is required to prepare financial statements which will be reconciled with the KPPN (Office of the State Treasury). The Treasurer shall make an accurate and in accordance with the provisions, it is necessary to review and analysis prior to the report. The reconciliation process must be manually where satker come back and forth to merekon KPPN same data that is not very efficient for satker less far away. So KPPN has done groundbreaking steps to overcome that is through the internet and applications prarekonsiliasi help the SAKPA. SAKPA application is an application used to process data in the User Authorization Budget Accounting System (SAKPA). SAKPA application developed by the Directorate of Treasury Systems as one of the Directorate under the auspices of the Directorate General of Treasury application was developed with the aim Provides ease of the Government Accounting Standard Reporting on Budget User Authorization unit.
Analisis Citra Digital CT Scan Dengan Metode Ekualisasi Histogram dan Statistik Orde Pertama Dwi Nurhayati, Oky
Jurnal Sistem Komputer Vol 5, No 1 (2015)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v5i1.73

Abstract

this research aims to develop the science and technology of medical image processing CT Scan, which yield an identification system software. Histogram equalization method is the first step in image pre-processing that is applied to the digital images of CT Scan. The next step is statistical texture analysis method of first order to extract the parameters such as mean, variance, standard deviation.the result showed that the histogram equalization method and the statistical texture analysis can be used to distinguish normal CT Scan and abnormal that detected stroke.
Sistem Analisis Tekstur Secara Statistik Orde Pertama Untuk Mengenali Jenis Telur Ayam Biasa Dan Telur Ayam Omega-3 nurhayati, oky dwi
Jurnal Sistem Komputer Vol 5, No 2 (2015)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v5i2.94

Abstract

Visually to distinguish ordinary chicken eggs and chicken eggs with omega-3 is very difficult because the physical shape and color of the eggs look the same.  From the price, chicken eggs with omega-3 is more expensive than the ordinary eggs. This aim of the research is to create an analyst system which is able to recognize type of eggs based on the texture with several steps in image processing techniques. Several image processing techniques used namely conversion of the RGB image to gray scale, remove noise with a gaussian filter, segmentation using thresholding method, and analysis with first-order statistical method that are extracted from each image of eggs. Results of the research showed that the ordinary chicken eggs and chicken eggs with omega - 3 have different statistical values
Ekualisasi Histogram untuk Peningkatan Kualitas Citra Telur Ayam secara Otomatis Nurhayati, Oky Dwi; -, Dania Eridani
Jurnal Sistem Komputer Vol 7, No 2 (2017)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v7i2.158

Abstract

Citra digital yang diperoleh dari sistem akusisi yang berupa telepon pintar (smartphone) memiliki kualitas yang rendah. Selain kualitas, ukuran penyimpanan yang besar, citra yang diperoleh memiliki banyak noise. Begitu pula citra digital telur ayam yang digunakan dalam penelitian ini. Sehingga pra-pengolahan merupakan pilihan yang tepat untuk mengatasi kekurangan tersebut sebelum citra digital diolah lebih lanjut. Oleh karena itu perlu dikembangkan penelitian awal untuk meningkatkan kualitas citra telur ayam secara otomatis. Metode pra-pengolahan yang digunakan dalam penelitian ini diantaranya pengubahan jenis citra, ukuran citra, pengaturan kontras otomatis, cerah, filter median 3D, filter sharpen, serta ekualisasi histogram. Dari berbagai metode pra-pengolahan yang digunakan, ekualisasi histogram merupakan metode yang paling tepat untuk meningkatkan kualitas citra secara otomatis. Kata-kata kunci: citra telur ayam, pengaturan cerah, kontras, filter median, filter gaussian, ekualisasi histogram
PERBANDINGAN METODE SEGMENTASI OTOMATIS REGION OF INTEREST DAN K-MEAN CLUSTERING PADA APLIKASI DETEKSI KUALITAS DAGING SAPI BERBASIS MOBILE Nurhayati, Oky Dwi; -, kusworo adi
Jurnal Sistem Komputer Vol 10, No 1 (2020)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v10i1.182

Abstract

The importance of the beef quality detection plays an essential role in coping with one of problems related to the distribution of poor beef quality. The beef quality is highly determined by a number of parameters such as size, texture, colour features and odor. Today, to determine the beef quality is conducted by observing the colour or form. As a consequence, this method still has many weaknesses such as in the human assessment that might be still subjective and inconsistent. This research aims making an application to detect the beef quality by using a number of phases of image processing in detail and by comparing the accuracy of two segmentation methods being used. The application was made using the operational system of Android integrated with SDK Android, library OpenCV and Eclipse. Image processing phase consisted of the pre-image processing of greyish level, histogram equalization, segmentation of Region of Interest, segmentation of k-mean clustering, and analysis on the texture by extracting the features of each digital beef images. The final phase of this research was to measure the higher level of accuracy from two segmentation methods. The proposed method could provide the accuracy of k-mean segmentation around 80%; while, the segmentation of ROI provided the accuracy at 90%.
Co-Authors Adhi Susanto Adi Mora Tunggul Adi, Yudi Restu Agung Budi Prasetijo Agung Budi Prasetijo Agus Subhan Akbar, Agus Subhan Agus Subkhi Hermawan Agus Supriyanto Ahmad Muzami Aji Yudha Alim Muadzani Ambrina Kundyanirum Anggi Anugraha Putra Anggit Sri Herlambang Anggoro Mukti Anisa Eka Utami Annisa Hedlina Hendraputri Arief Puji Eka Prasetya Atik Zilziana Muflihati Noor Aulia Medisina Ramadhan Damar Wicaksono Danal Meizantaka Daeanza Dania Eridani Dania Eridani Dania Eridani Deryan Gelrandy Diana Nur Afifah, Diana Nur Dwiana Okviandini Eggy Listya Sutigno Eko Didik Widianto Eko Sediyono Farikhin Febi Andrea Renatha Galuh Boy Hertantyo Gayuh Nurul Huda Hadi Hilmawan Hammas Zulfikar Ikhsan Hanna Mariana Baun, Hanna Mariana Harits Fathuddin hastuti, Isti Pudji Hendra Pria Utama Ike Pertiwi Ike Pertiwi Windasari Ike Pertiwi Windasari Imaduddin Abdul Rahim Indra Aditia Indra Permana Isti Pudjihastuti Julce Adiana Sidette, Julce Adiana Keszya Wabang Kurniawan Teguh Martono Kusworo Adi Lazuardi Arsy Lia Dorothy M Irfan Syarif Hidayatullah M. Rizki Kurniawan Maesadji Tjokronagoro Menur Wahyu Pangestika, Menur Wahyu Mey Fenny Wati Simanjuntak Muhammad Hafiz Tsalavin Muhammad Naufal Prasetyo Muhammad Ridwan Asad Naretha Kawadha Pasemah Gumay Ningrum, Alifvia Arvi Ninik Rustanti Nofiyati Nofiyati, Nofiyati Nugroho Adhi Santoso Nurazizah Nurazizah Nurhuda Maulana Nurul Arifa Nuryanto . Prio Pambudi R Rizal Isnanto R Rizal Isnanto R. Rizal Isnanto Rahmat Gernowo Reza Najib Hidayat Rian Haris Muda Nasution Rinta Kridalukmana Risma Septiana Rismawan Fajril Falah Riyadhi Sholikhin Satriaji Cahyo Nugroho Siswo Sumardiono Sri Widodo, Thomas Suryo Mulyawan Raharjo Suryono Suryono Teguh Hananto Widodo Thomas Sri Widodo Tristy Meinawati Tyas Panorama Nan Cerah Ulinuha, Ajik Wijaya Wahyudi Akbar Yessy Kurniasari Yudhi Kasih Pasaribu Yudi Eko Windarto Yudi Restu Adi Yusraka Dimas Al Iman Yusuf Arya Yudanto Zaskia Wiedya Sahardevi