Articles
PERBANDINGAN SEGMENTASI PADA CITRA ASLI DAN CITRA KOMPRESI WAVELET UNTUK IDENTIFIKASI TELUR
Saifullah, Shoffan;
Sunardi, Sunardi;
Yudhana, Anton
ILKOM Jurnal Ilmiah Vol 8, No 3 (2016)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia
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DOI: 10.33096/ilkom.v8i3.75.190-196
Citra digital merupakan gambaran yang jelas dari objek yang dapat diolah dengan komputer. Semakin besar ukuran (pixel) citra akan membutuhkan tempat penyimpanan yang besar pula. Dasar pengolahan citra yang dilakukan dalam penelitian ini terletak pada proses segmentasi pengolahan citra. Hal yang perlu dipertimbangkan adalah objek dari citra telur ayam yang akan diidentifikasi. Proses pengolahan citra melibatkan beberapa proses mulai dari akuisisi citra, preprocessing dan proses pengolahan citra sampai hasilnya. Preprocessing dilakukan untuk proses segmentasi yaitu dengan mengubah citra menjadi citra grayscale, dan kemudian diubah menjadi citra hitam putih. Dalam setiap proses dilakukan padding haar untuk mengurangi ukuran (size on disk) dengan matrik haar 8x8. Dan juga dilakukan proses dilasi dan opening untuk membuat objek terlihat jelas serta menghaluskan permukaan untuk menghilangkan noise. Pada proses pengolahannya dilakukan dengan menggunakan segmentasi dan pelabelan dengan didahului dengan perhitungan centroid dan penentuan bounding box untuk mengidentifikasi telur ayam. Perbandingan hasil pengolahan citra asli dengan hasil kompresi dari citra asli menunjukkan bahwa proses segmentasi citra telur ayam memberikan hasil 100% sama (baik citra asli maupun citra kompresi wavelet). Dengan kompresi akan menghemat penyimpanan (disk) dan hasil yang sama diperoleh dalam proses perhitungan objek, luas area, dan penentuan titik centroid.
PENGEMBANGAN SISTEM PENJADWALAN KULIAH MENGGUNAKAN ALGORITMA STEEPEST ASCENT HILL CLIMBING
Saifullah, Shoffan;
Hermawan, Arief
Jurnal Sistem Komputer Vol 6, No 2 (2016)
Publisher : Jurnal Sistem Komputer
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DOI: 10.14710/jsk.v6i2.113
University of Technology Yogyakarta is a private university in Yogyakarta, it has several purposes, one of them is utilizing the maximum potential of technology to improve the effectiveness and efficiency of learning and dissemination of science and technology. One of the factors that can improve academic services are scheduling courses. Scheduling proses isn’t easy because they have to consider the possibility in scheduling, include subjects, times, lecturers, and lecture halls. Now, subject scheduling is still using Ms. Excel, the process is to input lecturer’s name one by one, to teach to the prescribed schedule and also to check whether the data is conflicting or not, so it takes long time. Therefore, we need a system that is able to perform scheduling more quickly, effectively and optimally. Subject scheduling system can be done by using the optimization system. For the case of optimization can be done using the steepest ascent hill climbing algorithm. Steepest ascent hill climbing algorithm is a search algorithm (heuristic), it is able to solve the problems of optimization with estimates to be produced in accordance with the desired criteria or rules. Subject scheduling process produces a schedule that takes less time compared to a system that is currently running. Although it is able to minimize the level of clashing schedules, its application needs to be re-checked on the level of conflicting schedules.
ANALISIS PERBANDINGAN HE DAN CLAHE PADA IMAGE ENHANCEMENT DALAM PROSES SEGMENASI CITRA UNTUK DETEKSI FERTILITAS TELUR
Saifullah, Shoffan
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol 9, No 1 (2020)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha
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DOI: 10.23887/janapati.v9i1.23013
Perkembangan teknologi di bidang peternakan mampu memberikan kemudahan dalam proses penetasan ayam. Namun, proses deteksi fertilitas telur telah diperiksa secara manual oleh pekerja yang menyortir telur yang fertil dan infertil. Penelitian ini bertujuan untuk mempermudah proses pendeteksian gambar fertilitas telur menggunakan sistem komputerisasi secara otomatis. Deteksi fertilitas telur dilakukan preprocessing dengan metode Image Enhancement. Dalam metode ini, metode Histogram Equalization (HE) dan metode Contrast Limited Adaptive Histogram Equalization (CLAHE) dibandingkan satu sama lain pada proses peningkatan citra (Image Enhancement). HE memberikan hasil yang dapat mengidentifikasi fertilitas telur. Namun, ada satu faktor penting dalam pemrosesan gambar, yaitu pengambilan telur (proses akuisisi). Proses deteksi fertilitas telur menggunakan segmentasi dengan metode morfologi. Proses pengujian yang dilakukan menggunakan metode kekauratan pada metode HE dan CLAHE yang masing-masing adalah sebesar 96% dan 79%. Hasil menunjukkan bahwa hasil HE lebih jelas terlihat dibandingkan dengan CLAHE.
PELATIHAN E-LEARNING MENGGUNAKAN GOOGLE CLASSROOM BAGI GURU MA RADEN FATAH PRAMBANAN
Saifullah, Shoffan;
Akbar, Bagus Muhammad
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol 4, No 1 (2020): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak
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Pendidikan adalah proses untuk meningkatkan kecerdasan siswa. Proses ini menggunakan kegiatan pelatihan dan pengajaran. Seiring dengan perkembangan teknologi dan komunikasi, proses pelatihan dan pembelajaran menggunakan berbagai metode, salah satunya adalah e-learning. Prosesnya menggunakan internet, yang dapat diakses dan diproses kapan saja dan di mana saja. Proses ini mendukung kebijakan Kementerian Pendidikan dan Kebudayaan Indonesia terkait proses pembelajaran dan mendeka belajar. Proses ini dapat meningkatkan pendidikan aktif, terencana, dan efektif. Selain itu, inovasi layanan dan pembelajaran meningkat sehingga tidak hanya menggunakan pembelajaran konvensional. Tujuan dari pengabdian masyarakat ini adalah untuk melatih para guru di MA Raden Fatah dalam mengimplementasikan e-learning menggunakan Google Classroom. Metode pelaksanaannya menggunakan teori dan praktik. Hasil dari proses pelatihan dapat memberikan inovasi pembelajaran online dengan Google Classroom, dan kemampuan guru untuk mengimplementasikannya dapat meningkatkan proses belajar mandiri. Para guru dapat melakukan pembelajaran dengan kelas virtual mengikuti kondisi pembelajaran di kelas. Kelas yang dibangun dengan Google Classroom dapat digunakan untuk berbagi materi, memberikan tugas, kuis, menetapkan nilai, dan menjadwalkan kegiatan. Selain itu, proses video conference menyesuaikan jadwal di classroom dan calendar dan kalender menggunakan meet.
WEB DEVELOPMENT BASED ON SDLC CONCEPT APPROACH IN E-COMMERCE AT BASUKI JAYA PHARMACY
Tri Hidayat, Ahmad;
Nugroho, Adityo;
Saifullah, Shoffan
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 2 No 1 (2020): International Journal of Engineering, Technology and Natural Sciences
Publisher : University of Technology Yogyakarta
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DOI: 10.46923/ijets.v2i1.73
E-commerce is a very rapid development of trade in various fields, including pharmaceuticals. One process is the provision of prescription or non-prescription drugs from pharmacies. The management practice is still done manually, which involves the buying and selling process in person. Besides, processing and drug supplies are also done manually. These reasons make the process less effective and efficient, so it is necessary to develop an information system in buying and selling (e-commerce), improving performance, and reaching the target market. This system development uses the SDLC (System Development Live Cycle) concept and e-commerce, specifically in the pharmaceutical sector. This process is carried out from requirements to testing. The development is an e-commerce website that can help in the pharmacy's buying and selling process. Besides, the website is capable of connecting with customers. The system can integrate existing supplies into a pharmacy information system. The design of this system uses the programming languages PHP and MySQL. The results were tested using the Black Box method with the results that all processes and functions performed were carried out correctly. The developed website can be implemented in e-commerce at the pharmacy.
Analisis Ekstraks Ciri Fertilitas Telur Ayam Kampung dengan Grey Level Cooccurrence Matrix
Saifullah, Shoffan;
Sunardi, Sunardi;
Yudhana, Anton
JURNAL NASIONAL TEKNIK ELEKTRO Vol 6, No 2: Juli 2017
Publisher : Jurusan Teknik Elektro Universitas Andalas
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DOI: 10.25077/jnte.v6n2.376.2017
This research used chicken eggs to perform the analysis in the identification process fertility chicken eggs. The method in the identification process using Gray Level Co-occurrence Matrix (GLCM). The identification process by using GLCM using the 6 main parameters to determine the characteristics (feature extraction). The parameters used are: ASM (Angular Second Moment), Contrast, Correlation, Variance, IDM (Inverse Difference Moment), and Entropy. Each parameter will give different values and is able to distinguish and classify images based fertility chicken eggs chicken eggs. The identification process gives results that the image of a chicken egg fertile and infertile able to distinguish from GLCM parameters and show that using 10 samples of chicken eggs able to be grouped based on their fertility.Keywords:Chicken Eggs, Feature Extraction, GLCM ParametersAbstrak— Penelitian ini menggunakan telur ayam kampung untuk melakukan analisis dalam proses identifikasi fertilitas telur ayam. Metode dalam proses identifikasi menggunakan Gray Level Coocurence Materik (GLCM). Proses identifikasi dengan menggunakan GLCM menggunakan 6 parameter utama untuk mengetahui ciri-ciri (ekstraksi ciri). Parameter yang digunakan yaitu: ASM, Kontras, Korelasi, Varians, IDM, dan Entropy. Masing-masing parameter akan memberikan nilai yang berbeda dan mampu membedakan dan mengelompokkan citra telur ayam kampung berdasarkan fertilitas telur ayam. Proses identifikasi memberikan hasil bahwa citra teluer ayam kampung fertile dan infertile mampu dibedakan dengan parameter-parameter GLCM dan menunjukkan bahwa dengan menggunakan 10 sampel telur ayam kampung mampu dikelompokkan berdasaarkan fertilitasnya.Kata Kunci : Telur ayam kampung, Ekstraksi Ciri, Parameter GLCM
Identity Analysis of Egg Based on Digital and Thermal Imaging: Image Processing and Counting Object Concept
Sunardi Sunardi;
Anton Yudhana;
Shoffan Saifullah
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 1: February 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v7i1.pp200-208
This Research was conducted to analyze the identification of eggs. The research processes use two tools, namely thermal imaging camera and smartphone camera. The identification process was done by using Matlab prototype tools. The image has been acquired by means of proficiency level, then analyzed and applied several methods. Image acquisition results of thermal imaging camera are processed using morphological dilation and do the complement in black and white (BW). While the digital image uses the merger method of morphological dilation and opening, and it doesn't need to be complemented. Labeling process is done, and the process of determining centroid and bounding box. The process has been done and it can be applied for identifying of chicken eggs with the accuracy rate of 100%. There are different methods of both images is obtained area (pixels) which is equivalent to the difference is very small as 6 x 10-3.
Segmentation Comparing Eggs Watermarking Image and Original Image
Anton Yudhana;
Sunardi Sunardi;
Shoffan Saifullah
Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v6i1.595
The research used watermarking techniques to obtain the image originality. The aims of the research were to identify small area in eggs properly and compared preprocessing, the methods, and the results of image processing. The study has been improved from the previous papers by combined all methods and analysis was obtained.This study was conducted by using centroid and the bounding box for determining the object and the small area of chicken eggs. The segmentation method was used to compare the original image and the watermarked image. Image processing using image data that are subject watermark to maintain the authenticity of the images used in the study will the impact in delivering the desired results. In the identification of chicken eggs using watermark image using several methods are expected to provide results as desired. Segmentation also deployed to process the Image and counted the objects. The results showed that the process of segmentation and objects counting determined that the original image and watermarked image had the same value and recognized eggs. Identification had determined percentage of 100% for all the samples.
Parking detection system using background subtraction and HSV color segmentation
Awang Hendrianto Pratomo;
Wilis Kaswidjanti;
Alek Setiyo Nugroho;
Shoffan Saifullah
Bulletin of Electrical Engineering and Informatics Vol 10, No 6: December 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v10i6.3251
Manual system vehicle parking makes finding vacant parking lots difficult, so it has to check directly to the vacant space. If many people do parking, then the time needed for it is very much or requires many people to handle it. This research develops a real-time parking system to detect parking. The system is designed using the HSV color segmentation method in determining the background image. In addition, the detection process uses the background subtraction method. Applying these two methods requires image preprocessing using several methods such as grayscaling, blurring (low-pass filter). In addition, it is followed by a thresholding and filtering process to get the best image in the detection process. In the process, there is a determination of the ROI to determine the focus area of the object identified as empty parking. The parking detection process produces the best average accuracy of 95.76%. The minimum threshold value of 255 pixels is 0.4. This value is the best value from 33 test data in several criteria, such as the time of capture, composition and color of the vehicle, the shape of the shadow of the object’s environment, and the intensity of light. This parking detection system can be implemented in real-time to determine the position of an empty place.
Segmentation Comparing Eggs Watermarking Image and Original Image
Anton Yudhana;
Sunardi Sunardi;
Shoffan Saifullah
Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v6i1.595
The research used watermarking techniques to obtain the image originality. The aims of the research were to identify small area in eggs properly and compared preprocessing, the methods, and the results of image processing. The study has been improved from the previous papers by combined all methods and analysis was obtained.This study was conducted by using centroid and the bounding box for determining the object and the small area of chicken eggs. The segmentation method was used to compare the original image and the watermarked image. Image processing using image data that are subject watermark to maintain the authenticity of the images used in the study will the impact in delivering the desired results. In the identification of chicken eggs using watermark image using several methods are expected to provide results as desired. Segmentation also deployed to process the Image and counted the objects. The results showed that the process of segmentation and objects counting determined that the original image and watermarked image had the same value and recognized eggs. Identification had determined percentage of 100% for all the samples.