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All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Generic

Saparudin Saparudin

Universitas Sriwijaya

Author-ID : 2373257

Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 11 Documents Claim Missing Document

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Segmentation of Fingerprint Image Based on Gradient Magnitude and Coherence Saparudin Saparudin; Ghazali Sulong
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 5: October 2015
Publisher : Institute of Advanced Engineering and Science

Fingerprint image segmentation is an important pre-processing step in automatic fingerprint recognition system. A well-designed fingerprint segmentation technique can improve the accuracy in collecting clear fingerprint area and mark noise areas. The traditional grey variance segmentation method is widely and easily used, but it can hardly segment fingerprints with low contrast of high noise. To overcome the low image contrast, combining two-block feature; mean of gradient magnitude and coherence, where the fingerprint image is segmented into background, foreground or noisy regions, has been done. Except for the noisy regions in the foreground, there are still such noises existed in the background whose coherences are low, and are mistakenly assigned as foreground. A novel segmentation method based on combination local mean of grey-scale and local variance of gradient magnitude is presented in this paper. The proposed extraction begins with normalization of the fingerprint. Then, it is followed by foreground region separation from the background. Finally, the gradient coherence approach is used to detect the noise regions existed in the foreground. Experimental results on NIST-Database14 fingerprint images indicate that the proposed method gives the impressive results.

Hybrid Multilevel Thresholding and Improved Harmony Search Algorithm for Segmentation Erwin Erwin; Saparudin Saparudin; Wulandari Saputri
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

This paper proposes a new method for image segmentation is hybrid multilevel thresholding and improved harmony search algorithm. Improved harmony search algorithm which is a method for finding vector solutions by increasing its accuracy. The proposed method looks for a random candidate solution, then its quality is evaluated through the Otsu objective function. Furthermore, the operator continues to evolve the solution candidate circuit until the optimal solution is found. The dataset used in this study is the retina dataset, tongue, lenna, baboon, and cameraman. The experimental results show that this method produces the high performance as seen from peak signal-to-noise ratio analysis (PNSR). The PNSR result for retinal image averaged 40.342 dB while for the average tongue image 35.340 dB. For lenna, baboon and cameramen produce an average of 33.781 dB, 33.499 dB, and 34.869 dB. Furthermore, the process of object recognition and identification is expected to use this method to produce a high degree of accuracy.

Real-time Multi-object Face Recognition Using Content Based Image Retrieval (CBIR) Muhammad Fachrurrozi; Saparudin Saparudin; Erwin Erwin; Mardiana Mardiana; Clara Fin Badillah; Junia Erlina; Auzan Lazuardi
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Face recognition system in real time is divided into three processes, namely feature extraction, clustering, detection, and recognition. Each of these stages uses different methods, Local Binary Pattern (LBP), Agglomerative Hierarchical Clustering (AHC) and Euclidean Distance. Multi-face image search using Content Based Image Retrieval (CBIR) method. CBIR performs image search by image feature itself. Based on real time trial results, the accuracy value obtained is 61.64%.

Feature Extraction for Retina Image Based on Difference Approaches Erwin Erwin; Saparudin Saparudin; Arum Cantika Putri; Hidayat Hidayat; Fifi Hariyani
Computer Engineering and Applications Journal Vol 7 No 3 (2018)
Publisher : Universitas Sriwijaya

Automatic disease diagnosis using biometric images is a difficult job due to image distortion, such as the presence of artifacts, less or excessive light, narrow vessel visibility and differences in inter-camera variability that affect the performance of an approaches. Almost all extraction methods in the blood vessels in the retina produce the main part of the vessel with no patalogical environment. However, an important problem for this method is that extraction errors occur if they are too focused on the thin vessels, the wide vessels will be more detectable and also artificial vessels that may appear a lot. In addition, when focusing on a wide vessel, the extraction of thin vessels tends to disappear and is low. Based on our research, different treatments are needed to extract thin vessels and wide vessels both visually and in contrast. This study aims to adopt feature extraction strategies with different techniques. The method proposed in segmentation and extraction with three different approaches, namely the pattern of shape, color, and texture. Testing segmentation and feature extraction using STARE datasets with five classes of diseases namely Choroidal Neovascularization, Branch Retinal Vein Occlusion, Histoplasmosis, Myelinated Nerve Fibers, and Coats. Image enhancement on Myelinated Nerve disease Fiber is the best result from the image of other diseases with the highest value of PSNR of 35.4933 dB and the lowest MSE of 0.0003 means that the technique is able to repair objects well. The main significance of this work is to increase the quality of segmentation results by applying the Otsu method. Testing of segmentation results shows improvements with the proposed method compared to other methods. Furthermore, the application of different feature extraction methods will get information on disease classification features based on patterns of suitable shapes, colors, and textures.

Challenges and Potential Research in Fingerprint Image Recognition Saparudin Saparudin
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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The issues about security of the system and the device are still to be a potential topics in computer technology and networking. The fingerprint image as a kind of human biometric features has been used for over a century and the most widely used for personal recognition in civil, forensic, and commercial areas. In this paper is discussed the latest in trend in fingerprint recognition is viewed from the category of fingerprint images, namely; patent, impressed, and latent. The survey of various research articles indicated that opportunities in the fingerprint identification, particularly the problems in fingerprint image enhancement are topic that potential for researched.

Training Making Materials Video Interactive Learning For Teachers in SMK Negeri 1 Muara Enim Sri Desy Siswanti; Darmawijoyo Darmawijoyo; Saparudin Saparudin; Syamsuryadi Syamsuryadi; Ahmad Fali Oklilas; Hadi Purnawan Satria; Anggina Primanita
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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Report on the implementation of community service describes the learning outcomes of the training video creation intended for Vocational High School (SMK) Negeri 1 Muara Enim. The training was attended by 66 teachers. This training provides a solution to improve the teaching of teachers SMK 1 Muara Enim is by making instructional materials in the form of video lessons. The training is carried out with extension methods and practices, to support the training is complemented every teacher training modules in softcopy. The training was held at the Hall of SMK 1 Muara Enim. To measure the result of performance evaluation activities, where the outcome is a matter of understanding of the material by the participants, the average value reached approximately 80-100 giving the correct answer. For the future need this kind of training activities with the broader material and a longer period with the aim to improve the quality of teaching and school teachers.

Segmentation and Classification Models Validation Area Mapping of Peat Lands as Initial Value of Fuzzy Kohonen Clustering Network Erwin Erwin; Saparudin Saparudin; Muhammad Fachrurrozi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Ogan Komering Ilir (OKI) is located at the eastern of South Sumatra Province, 2030'-4015' latitude and 104020'-106000' longitude. Digital image of land was captured from Landsat 8 satellite path 124/row 062. Landsat 8 is new generation satellite which has two sensors, Operation Land Manager (OLI) and Thermal Infra-Red Sensor (TIRS). In pre-processing step, there are a geometric correction, radiometric correction, and cropping of the digital images which resulting coordinated geography. Classification uses maximum likelihood estimator algorithm. In segmentation process and classification, grey value spread is into evenly after applying histogram technique. The results of entropy value are7.42 which is the highest of result image classification, then the smallest entropy value in the result of correction mapping are 6.39. The three of them prove that they have enough high entropy value. Then the result of peatlands classification is given overall accuracy value = = 94.0012% and overall kappa value = 0.9230 so the result of classification can be considered to be right.

Information Framework of Pervasive Real Time Monitoring System: Case of Peat Land Forest Fires and Air Quality in South Sumatera, Indonesia Siti Nurmaini; Reza Firsandaya Malik; Deris Stiawan; Firdaus Firdaus; Saparudin Saparudin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

The information framework aims to holistically address the problems and issues posed by unwanted peat and land fires within the context of the natural environment and socio-economic systems. Informed decisions on planning and allocation of resources can only be made by understanding the landscape. Therefore, information on fire history and air quality impacts must be collected for future analysis. This paper proposes strategic framework based on technology approach with data fusion strategy to produce the data analysis about peat land fires and air quality management in in South Sumatera. The research framework should use the knowledge, experience and data from the previous fire seasons to review, improve and refine the strategies and monitor their effectiveness for the next fire season. Communicating effectively with communities and the public and private sectors in remote and rural landscapes is important, by using smartphones and mobile applications. Tools such as one-stop information based on web applications, to obtain information such as early warning to send and receive fire alerts, could be developed and promoted so that all stakeholders can share important information with each other.

The Application of Text Compression to Short Message Service Using Huffman Table Ahmad Affandi; Saparudin Saparudin; Erwin Erwin
Generic Vol 6 No 1 (2011): Vol 6, No 1 (2011)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Short Message Service (SMS) is a way of sending short messages in a quick and relatively cheap price. However, besides easiness provided, these SMSs limit the number of characters that can be sent by users. A message sent via SMS, has a maximum capacity of 140 bytes. This causes a person who wants to send a message long enough, consists of a number of characters will have difficulty. Although it is delivered, the message must be assembled into a number of SMS based on maximum capacity. Several ways can be performed to overcome this, one of them by doing compression. By using Huffman table an application text compression on SMS is made in order to compress and decompress when sending and receiving message. This application is made by J2ME and will run on mobile phones based on MIDP 2.0. The results of this study SMS text compression application with Huffman table overall is able to perform the compression process of an SMS text with an average compression ratio of 28.73%.

E-Book Reader Berbasis Mobile Menggunakan Modifikasi Fitur Face Tracking Saparudin Saparudin; Reza Firsandaya Malik; Rikza Azriyan
Generic Vol 6 No 2 (2011): Vol 6, No 2 (2011)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Pembaca buku elektronik adalah perangkat lunak untuk membaca buku elektronik pada komputer, dimana navigasi perpindahan halaman biasanya dilakukan dengan menggunakan tombol. Pada makalah ini akan dilakukan pembahasan mengenai navigasi perangkat lunak pembaca buku elektronik berbasis mobile berkamera depan menggunakan teknik Face Tracking yang telah dimodifikasi. Perubahan urutan proses dan pengembangan dari teknik face tracking dengan metode perbandingan warna citra telah dilakukan dalam OpenCV Frameworks. Dari hasil eksperimen didapat bahwa bahwa metode perbandingan warna citra dapat mengeliminasi proses perhitungan yang kompleks pada teknik face tracking dan mampu berjalan dalam memori yang terbatas.

Co-Authors Ahmad Affandi Ahmad Fali Oklilas Arum Cantika Putri Auzan Lazuardi Clara Fin Badillah Darmawijoyo, Darmawijoyo Deris Stiawan Erwin Erwin Erwin, Erwin Fifi Hariyani Firdaus Firdaus Ghazali Sulong Hadi Purnawan Satria Hidayat Hidayat Julian Supardi Junia Erlina M. Fachrurrozi . Primanita, Anggina Reza Firsandaya Malik Rikza Azriyan Siti Nurmaini Sri Desy Siswanti Syamsuryadi Syamsuryadi Vikki Aria Dinata Wulandari Saputri Yoga Yuniadi

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