Anton Yudhana

Universitas Ahmad Dahlan

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Rusydi Umar

Universitas Ahmad Dahlan

Imam Riadi

Universitas Ahmad Dahlan

Sunardi Sunardi

Universitas Ahmad Dahlan

Abdul Fadlil

Universitas Ahmad Dahlan

Son Ali Akbar

Universitas Ahmad Dahlan

Sunardi Sunardi

Universitas Ahmad Dahlan

Shoffan Saifullah

Universitas Pembangunan Nasional Veteran Yogyakarta

Ilham Mufandi

University of Darussalam Gontor

Kartika Firdausy

Universitas Ahmad Dahlan

Jafri Din

University of Technology Malaysia

Cooperative Institutions

Universitas Ahmad Dahlan

239

Universitas Gadjah Mada

Sebelas Maret University

University of Technology Malaysia

Muhammadiyah University of Yogyakarta

Diponegoro University

Mercu Buana University of Yogyakarta

Universiti Malaysia Pahang Al-Sultan Abdullah

Institut Agama Islam Negeri Bengkulu

Indonesia University of Education

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

The Monitoring of Corn Sprouts Growth Using The Region Growing Methods

Journal of Physics Conference Series (2019)

Anton Yudhana Rusydi Umar Fadlillah Mukti Ayudewi

Abstract The aim of this research is to apply plant growth monitoring function using region growing method and Matlab application with an object of corn sprouts and parameters of length and time. The research process is done by taking pictures digitally change the color level (Red Green Blue) to grayscale, cropping the image and then calculate the growth of the plant using region growing. From the results of the study, region growing can be used to calculate the growth of plant length with parameters of length and time. The results of manual measurements show the growth of plant length by an average of 2.1 cm/day then the results of measurements with region growing show an average plant length of 2.3 cm/day, this result shows the comparison between manual and region growing measurements is 0.2 cm. The difference between manual calculation and region growing is caused by the accuracy of shooting and image cropping process.

Research Object

10.1088/1742-6596/1373/1/012054

Cite

Citations (15)

Target Strength for Fish Identification Using Echo Sounder

Applied Physics Research (2009)

Sunardi Sunardi Jafri Din Anton Yudhana Raja Bidin Raja Hassan

Identification of target strength (TS) of fish species in the South China Sea has been conducted using Furuno FQ-80(38/120 kHz echo sounder). This study introduces new experimental method which is combination of in situ and ex situexperiment by applying net cage at undersea. This research involved Selar boops (Oxeye scad) and Megalaspis cordyla(Torpedo scad) in separate net cage at the bottom of the vessel. TS, depth, and position (x-y-z) of fish have beenmonitored at every ping using echogram. TS of Selar boobs at low and high frequency are -44.49 dB for source level(SL) of 236dB and -43.96 dB for SL of 228 dB. For Megalaspis cordyla, TS are -45.34 dB (SL = 230 dB) and -43.06dB (SL = 225 dB) for low and high frequency respectively. The results show that Megalaspis cordyla produce higherTS whereas the position is deeper and smaller size than Selar boops at low and high frequency.

Echo sounding

Target strength

Echo (communications protocol)

10.5539/apr.v1n2p92

Cite

Citations (7)

Implementation of Quadcopter for Capturing Panoramic Image at Sedayu Bantul

Anton Yudhana Nuryono Satya Widodo Sunardi Sunardi

The aims of this study to deploy an aerial photography system has the ability to capture panoramic image of specific area. The planned research activities completed within 2 years, with the first year's target is Quadcopter design and manufacture that is equipped with a camera for image acquisition process. Target for the second year is shooting and processing panoramic images thus obtained are accurate. The steps to implement this study are divided into two parts: 1) the design and manufacture of quadcopter and 2) implementation of image capture and processing. The expected results of the study is the automated system that have capability of imaging an area and perform image stitching on the imaging results so obtained image represents an area with a particular area with an adequate level of resolution. Thus this system can be referred for the next advance that is more complex for example: prediction system of agricultural crops with aerial photography, residential density estimation system with aerial photos, and hazard mitigation systems by using aerial photographs. The preliminary result of this research is panoramic images capturing with quadcopter. Quadcopter could flight as high as 6 meters for 3 minutes. Improvement is expected to reach flight capability of quadcopter as high as 100 m within 10 minutes flight time minimum.

Quadcopter

Image stitching

Aerial photography

Source

Cite

Citations (0)

Perancangan Sistem Pengenalan Wajah untuk Keamanan Ruangan Menggunakan Metode Local Binary Pattern Histogram

Jurnal Teknologi Elektro (2022)

Sunardi Sunardi Anton Yudhana Muhamad Alwi Talib

Saat ini telah banyak dikembangkan sistem pengamanan akses masuk ke ruangan dengan verifikasi identitas menggunakan kunci, kartu, dan sebagainya. Namun keterbatasan manusia dalam mengingat benda sehingga kadang terdapat kejadian tertinggal atau terlupa kombinasi angka atau password yang mengakibatkan tidak dapat untuk mengakses ruangan. Teknik verifikasi wajah diperlukan untuk mengakses ruangan dengan teknologi biometrik yang handal dan efisien tanpa harus mengingat objek seperti kunci, kartu, kata sandi, atau pin. Oleh karena itu tujuan penelitian adalah membuat rancang bangun sistem keamanan akses ruangan menggunakan face recognition menggunakan metode LBPH berbasis Raspberry Pi. Sistem yang dikembangkan terdiri dari dua bagian, yaitu alat yang dipasang pada Raspberry Pi utama yang menjadi otak kamera dan aplikasi Telegram pada smartphone. Kamera dapat mengenali wajah pengguna dan beberapa orang yang dapat mengakses ruangan. Jika kamera tidak mengenali wajah orang yang terdeteksi maka kamera akan mengambil gambar dan mengirimkannya ke pemilik rumah melalui Telegram sebagai notifikasi untuk tindakan lebih lanjut terhadap kedatangan orang yang tidak dikenal.

10.22441/jte.2022.v13i2.010

Cite

Citations (2)

Implementasi Live Forensics untuk Perbandingan Browser pada Keamanan Email

JISKA (Jurnal Informatika Sunan Kalijaga) (2017)

Muhammad Nur Faiz Rusydi Umar Anton Yudhana

Digital Forensics become one popular term because Currently many violations of cyber crime. Digital techniques Computer Forensics performed or with analyze digital device, whether the device is a media Actors or as a media victim. Digital Forensic Analysis Being divided into two, traditional / dead and alive. Forensic analysis traditionally involves digital data Deposited permanent Operates in Irish, while live forensic analysis involves analysis of data Namely temporary in Random Access Memory or Deposited hearts transport equipment in the Network. Singer proposes journal Forensic analysis of life in the latest operation system windows 10. That study focused IN case several email security browsers Sales Operations manager of Google Chrome, Mozilla Firefox, and Microsoft Internet Explorer Edge. In addition, although many digital forensics type software applications not free, goal on research objectives compares browser security information so it will be more minimize abuse email.

Network forensics

Computer forensics

Digital evidence

Information sensitivity

10.14421/jiska.2017.13-02

Cite

Citations (23)

Analysis of the Influence of Number of Segments on Similarity Level in Wound Image Segmentation Using K-Means Clustering Algorithm

Control Systems and Optimization Letters (2023)

Furizal Furizal Syifa’ah Setya Mawarni Son Ali Akbar Anton Yudhana Murinto Kusno

This study underscores the importance of wound image segmentation in the medical world to speed up first aid for victims and increase the efficiency of medical personnel in providing appropriate treatment. Although the body has a protective function from external threats, the skin can be easily damaged and cause injuries that require rapid detection and treatment. This study used the K-Means clustering algorithm to segment the external wound image dataset consisting of three types of wounds, namely abrasion, puncture, and laceration. The results showed that K-Means clustering is an effective method for segmenting wound images. The greater the number of segments used, the better the quality of the resulting segmentation. However, it is necessary to take into account the specific characteristics of each type of wound and the number of segments used in order to choose the most suitable segmentation method. Evaluation using various metrics, such as VOI, GCE, MSE, and PSNR, provides an objective assessment of the quality of segmentation. The results showed that abrasion wounds were easier to segment compared to puncture wounds and lacerations. In addition, the size of the image file also affects the speed of program execution, although it is not always absolute depending on the characteristics of the image.

Similarity (geometry)

K-Means Clustering

10.59247/csol.v1i3.33

Cite

Citations (2)

Nondestructive Chicken Egg Fertility Detection Using CNN-Transfer Learning Algorithms

Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (2023)

Shoffan Saifullah Rafał Dreżewski Anton Yudhana Andri Pranolo Wilis Kaswijanti

This study explores the application of CNN-Transfer Learning for nondestructive chicken egg fertility detection. Four models, VGG16, ResNet50, InceptionNet, and MobileNet, were trained and evaluated on a dataset using augmented images. The training results demonstrated that all models achieved high accuracy, indicating their ability to accurately learn and classify chicken eggs’ fertility state. However, when evaluated on the testing set, variations in accuracy and performance were observed. VGG16 achieved a high accuracy of 0.9803 on the testing set but had challenges in accurately detecting fertile eggs, as indicated by a NaN sensitivity value. ResNet50 also achieved an accuracy of 0.98 but struggled to identify fertile and non-fertile eggs, as suggested by NaN values for sensitivity and specificity. However, InceptionNet demonstrated excellent performance, with an accuracy of 0.9804, a sensitivity of 1 for detecting fertile eggs, and a specificity of 0.9615 for identifying non-fertile eggs. MobileNet achieved an accuracy of 0.9804 on the testing set; however, it faced challenges in accurately classifying the fertility status of chicken eggs, as indicated by NaN values for both sensitivity and specificity. While the models showed promise during training, variations in accuracy and performance were observed during testing. InceptionNet exhibited the best overall performance, accurately classifying fertile and non-fertile eggs. Further optimization and fine-tuning of the models are necessary to address the limitations in accurately detecting fertile and non-fertile eggs. This study highlights the potential of CNN-Transfer Learning for nondestructive fertility detection and emphasizes the need for further research to enhance the models’ capabilities and ensure accurate classification.

Transfer of learning

10.26555/jiteki.v9i3.26722

Cite

Citations (0)

Comparative Analysis of Image Quality Values on Edge Detection Methods

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2020)

Wicaksono Yuli Sulistyo Imam Riadi Anton Yudhana

Identification of object boundaries in a digital image is developing rapidly in line with advances in computer technology for image processing. Edge detection becomes important because humans in recognizing the object of an image will pay attention to the edges contained in the image. Edge detection of an image is done because the edge of the object in the image contains very important information, the information obtained can be either size or shape. The edge detection method used in this study is Sobel operator, Prewitt operator, Laplace operator, Laplacian of Gaussian (LoG) operator and Kirsch operator which are compared and analyzed in the five methods. The results of the comparison show that the clear margins are the Sobel, Prewitt and Kirsch operators, with PSNR calculations that produce values above 30 dB. Laplace and LoG operators only have an average PSNR value below 30 dB. Other quality comparisons use the histogram value and the contrast value with the highest value results in the Laplace and LoG operators with an average histogram value of 110 and a contrast value of 24. The lowest histogram and contrast value are owned by the Sobel and Prewitt operators.

Prewitt operator

Sobel operator

Image gradient

Blob detection

Operator (biology)

10.29207/resti.v4i2.1827

Cite

Citations (3)

Integration Integration of AHP and TOPSIS Methods for Small and Medium Industries Development Decision Making

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2022)

Anton Yudhana Rusdi Umar Aldi Bastiatul Fawait

Financial problems are one of the reasons why small and medium-sized industries (SMIs) in West Kutai have not developed optimally. Government assistance programs are one of the solutions. This program must be appropriate, so a decision-making tool is needed to help choose the right SMIs to be assisted later. The weight of the criteria was determined using the Analytical Hierarchy Process (AHP) technique, and the priority of the SMIs as the preferred proposal for the recipients of development assistance was determined using the Technique for Other Reference by Similarly to Ideal Solution (TOPSIS) approach. Labor, investment, production capacity, production value, and raw materials were used to determine the priorities of SMIs beneficiaries. Furthermore, TOPSIS prioritizes the development of alternative small and medium-sized industries with types of handicraft commodities. Integration of AHP and TOPSIS methods has been successfully used in the IKM Development Priority Determination Application, with 83.3% precision and 96.4% accuracy achieved by using a confusion matrix so that the IKM ranking can be known. The results of the study found that integration of the two methods was successfully used for Small and Medium Industries Development Decision Making.

TOPSIS

10.29207/resti.v6i5.4223

Cite

Citations (0)

Inovasi pengolahan kerupuk lidah buaya (Aloe vera) di Desa Wareng, Kabupaten Gunungkidul

Prosiding Seminar Nasional Hasil Pengabdian Kepada Masyarakat Universitas Ahmad Dahlan (2020)

Safinta Nurindra Rahmadhia Anton Yudhana Son Ali Akbar

Most of the people of Wareng Village use their traditional house yards to grow crops. The plants planted by the residents are varied, especially fruits and vegetables. The types of crops planted by the residents include tomatoes, chilies, eggplant, spinach, aloe vera, leeks, oranges, sapodilla, and others. Apart from fruit and vegetable crops, the people of Wareng Village also plant spices such as red ginger, turmeric, galangal, and others. Wareng villagers use their harvest for their own consumption and sell to the community. However, at the time of the main harvest, commodity prices will decline so the residents suffer losses. One of the residents' abundant crops is aloe vera. Based on the problems of the residents of Wareng Village, Peogram Pengabdian Kepada Masyarakat (PPM) provides a solution in the form of food processing innovations, especially aloe vera to increase its economic value. Aloe vera fruit will be processed become a food product, namely crackers. The choice of crackers as an innovative aloe vera-based food processing is because they are a product with low air content so they have a long shelf life. In addition, crackers are also popular with Indonesians and are easy to make. Aloe vera crackers have an advantage over ordinary crackers because aloe vera contains antioxidant and antimicrobial compounds. The impact of this PPM is that the people of Wareng Village can add product innovation from their garden products and can increase their economic value.

Aloe Vera

Source

Cite

Citations (0)