TELKOMNIKA Indonesian Journal of Electrical Engineering最新文献_第9页

Knowledge Management System for Zakat 天课知识管理系统

TELKOMNIKA Indonesian Journal of Electrical Engineering Pub Date : 2014-12-01 DOI: 10.11591/telkomnika.v12i12.6842

A. R. Nasution, I. Hermadi, K. W. Ananta, B. I. Syauqi

{"title":"Knowledge Management System for Zakat","authors":"A. R. Nasution, I. Hermadi, K. W. Ananta, B. I. Syauqi","doi":"10.11591/telkomnika.v12i12.6842","DOIUrl":"https://doi.org/10.11591/telkomnika.v12i12.6842","url":null,"abstract":"Zakat is one of the Islamic pillars that has strategic contribution to the society. Zakat is one of the Muslim obligation. It is also a form of social solidarity. The collaborative research conducted by Badan Amil Zakat Nasional (BAZNas) and Institut Pertanian Bogor (IPB) estimated the potential of zakat collection in Indonesia could reach about Rp 217 trillion every year that has not been achieved yet. Researchers and practitioners have advised to implement a Knowledge Management System (KMS) to optimize the collection and BAZNas’s objectives. The objective of this research is to develop web-based Zakat Knowledge Management System (ZKMS). The KMS development methodology is done with using Knowledge Management System Life Cycle (KMSLC). Knowledge has been captured from experts consisting of practitioners and scientists from BAZNas of Bogor City, muzakki, documents, books and journals. ZKMS was developed using ASP.NET framework, C# programming language and MySQL database management system. The system has menu that are user, zakat knowledge, questions and answers with experts, interaction between members, about us, profiles and knowledge sources. This system is designed be user friendly to get, know, make, share, store and disseminate actual and contemporary of zakat knowledge.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132379549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Analysis of Secure Medical Image Communication with Digital Signature and Reversible Watermarking 基于数字签名和可逆水印的医学图像安全通信分析

TELKOMNIKA Indonesian Journal of Electrical Engineering Pub Date : 2013-08-01 DOI: 10.21917/IJIVP.2013.0093

U. A, Suresh G. R.

{"title":"Analysis of Secure Medical Image Communication with Digital Signature and Reversible Watermarking","authors":"U. A, Suresh G. R.","doi":"10.21917/IJIVP.2013.0093","DOIUrl":"https://doi.org/10.21917/IJIVP.2013.0093","url":null,"abstract":"Protection of Medical image contents becomes the important issue in computer network security. Digital Watermarking has becomes a promising technique for medical content authentication, it allows to embed relevant information with the image, which provides confidentiality, integrity and authentication by embedding Digital Signature (DS) with the Medical image. In this paper we focus on need for reversible watermarking, Medical Image Compression and security related problems in medical images, it comparing the performances of various lossless watermarking techniques for various medical image modalities like MRI (Magnetic Resonance Imaging), US (Ultrasonic), CT (Computed Tomography), Endoscopic and Angiographic images. Region of Interest (ROI) supporting lossless watermarking systems only considered for discussions. Performance of all lossless watermarking with Digital Signature is analyzed by means of four parameters Capacity Rate, PSNR (Peak Signal to Noise ratio), NPCR (Number of Pixel Change Rate) and Compression Ratio (CR). This Paper also introduces new mechanism for open network security for medical images. This lossless watermarking is responsible for recovering the altered medical image content of the system.","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127214308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Grounding Resistance Measurement of Transmission Towers in Mountainous Area 山区输电塔接地电阻的测量

TELKOMNIKA Indonesian Journal of Electrical Engineering Pub Date : 2013-08-01 DOI: 10.11591/TELKOMNIKA.V11I8.3046

X. Zhu, Juan Zhang, Z. Ping, Jia Liu

引用次数: 3

SVD-based MEMS Dynamic Testing Technology 基于svd的MEMS动态测试技术

TELKOMNIKA Indonesian Journal of Electrical Engineering Pub Date : 2013-01-10 DOI: 10.11591/TELKOMNIKA.V11I1.1870

Zhangfang Hu, Chao Ji, Yuan Luo

引用次数: 5

Based on Multi-Factors Grey Prediction Control for Elevator Velocity Modulation 基于多因素灰色预测的电梯调速控制

TELKOMNIKA Indonesian Journal of Electrical Engineering Pub Date : 2012-09-11 DOI: 10.11591/TELKOMNIKA.V10I6.1408

Y. Fei, Jin Ning, Jiming Wang

{"title":"Based on Multi-Factors Grey Prediction Control for Elevator Velocity Modulation","authors":"Y. Fei, Jin Ning, Jiming Wang","doi":"10.11591/TELKOMNIKA.V10I6.1408","DOIUrl":"https://doi.org/10.11591/TELKOMNIKA.V10I6.1408","url":null,"abstract":"This paper uses the double-factors grey prediction and the fuzzy controller for the elevator car speed control. We introduce double-factors grey control to predict car vibration for elevator speed during the operation. Simulation results show that based on multi-factors gray prediction fuzzy PI control for elevator velocity modulation system closer than simple gray fuzzy PI control elevator speed control system to the actual operation. The control effect of double factors grey fuzzy PI control elevator speed control system is also satisfactory. This paper uses the double-factors grey prediction and the fuzzy controller for the elevator car speed control. We exploit the merit of which not depend on the object model and strong robustness to overcome elevator PMSM parameters drift and nonlinear effects. And we introduce double-factors grey control to predict car vibration for elevator speed during the operation. Simulation results show that based on multi-factors gray prediction fuzzy PI control for elevator velocity modulation system closer than simple gray fuzzy PI control elevator speed control system to the actual operation. The control effect of double factors grey fuzzy PI control elevator speed control system is also satisfactory. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1408 Full Text: PDF","PeriodicalId":247642,"journal":{"name":"TELKOMNIKA Indonesian Journal of Electrical Engineering","volume":"34 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120983382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3