2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)最新文献

ICITISEE 2018 Author Index icitissee 2018作者索引

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/icitisee.2018.8721004

引用次数: 0

Evaluation of Implementation of External Lightning Protection System: Case Study on the Military Radar Tower 外部防雷系统实施评估——以军事雷达塔为例

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8721025

Zendra Mawan Leksana, Suhariyanto, F. D. Wijaya

{"title":"Evaluation of Implementation of External Lightning Protection System: Case Study on the Military Radar Tower","authors":"Zendra Mawan Leksana, Suhariyanto, F. D. Wijaya","doi":"10.1109/ICITISEE.2018.8721025","DOIUrl":"https://doi.org/10.1109/ICITISEE.2018.8721025","url":null,"abstract":"A military radar unit is an operating unit that has the duty and responsibility to maintain the sovereignty of national airspace throughout the year. Considering that the installation area of military radar installations is in the mountainous, coastal, and marine areas, of course, this makes its own vulnerability to radar systems and their supporting electronic equipment from the threat of lightning strikes. The purpose of this study was to analyze the external protection system on radar towers based on the placement of installed air terminations. The analysis was carried out by applying the protection angle, rolling sphere, and collection volume method. From the results of research using the protection angle, it is found that using 1 air termination, increasing the air termination height to 38 m from the ground surface can protect all tower buildings and radar antenna from direct lightning strikes. The application of the rolling sphere on 4 air terminations on the radar tower is able to protect all tower buildings and radar antenna with a protection radius of each air termination as far as 45 m. By increasing the antenna height to 38 m from the ground surface, an analysis of the external lightning protection system using collection volume can protect all tower buildings and radar antenna from direct lightning strikes.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122372074","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: 0

Algorithm Evaluation for Classification “Phishing Website” Using Several Classification Algorithms 几种分类算法对“钓鱼网站”分类的算法评价

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720975

R. Wahyudi, Hendra Marcos, U. Hasanah, Bambang Pilu Hartato, Tri Astuti, Rizal Anjas Prasetyo

引用次数: 1

Backpropagation Neural Network for Tuning PID Pan-Tilt Face Tracking 反向传播神经网络整定PID泛倾斜人脸跟踪

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720968

D. Permatasari, D. Maharani

引用次数: 3

Vehicle Tracking using Kalman Filter based on Smart Video Sensor Architecture 基于智能视频传感器架构的卡尔曼滤波车辆跟踪

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720947

I. Imelda, A. Harjoko, P. Nurwantoro

{"title":"Vehicle Tracking using Kalman Filter based on Smart Video Sensor Architecture","authors":"I. Imelda, A. Harjoko, P. Nurwantoro","doi":"10.1109/ICITISEE.2018.8720947","DOIUrl":"https://doi.org/10.1109/ICITISEE.2018.8720947","url":null,"abstract":"Traffic information is needed to determine the cause of the accident. Problems arise when many traffic accidents or violations co-occur. Technical failures in delivering important frames also hinder the process of analyzing the video, which occurs due to disconnected network, limited bandwidth and CPU processing power. Besides, the size of the video to be processed at the same time slow the CPU down preventing the video from being treated. In this research, we propose Smart Video Sensor (SVS) resolve the missing frame issues. SVS is a video sensor recording images streaming frames for the frame. SVS extract only features of traffic objects and compress the video so that the data will be received faster and lighter. SVS also processes the primary data, so the other system is ready to use the features needed for further data processing. To demonstrate how well SVS works, we experimented it by tracking vehicles by type. This study uses 3 locations and 1000 frames in each area. The contribution of this paper is to produce a vehicle tracking model by type using Kalman Filter based SVS Architecture. The highest accuracy found for motorcycles is in Galeria (90.71%).","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134028584","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: 0

Prediction of The Needs of Industrial Oil Fuels with The Implementation of Distribution Requirement Planning (DRP)

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/icitisee.2018.8721002

Delpiah Wahyuningsih, H. Pradana, Hamidah

{"title":"Prediction of The Needs of Industrial Oil Fuels with The Implementation of Distribution Requirement Planning (DRP)","authors":"Delpiah Wahyuningsih, H. Pradana, Hamidah","doi":"10.1109/icitisee.2018.8721002","DOIUrl":"https://doi.org/10.1109/icitisee.2018.8721002","url":null,"abstract":"Currently, oil fuels are a primary need for the community for motorized, such as vehicles. Fuels in Indonesia, which is held by PT. Pertamina, many companies which are covered by Pertamina to diesel oil fuels. The demand for diesel fuels are very large. That is, from several entrepreneurs’ such as palm oil, supermarket, and others level of stores. The companies sometimes cannot meet the customer needs. So, for the ordering the diesel fuel is limited, especially oil orders that make by branch companies who had a limited oil distribution stock. Here, we need a system that can analyze the needs of diesel oil distribution for companies or their branch using the Distribution Requirement Planning (DRP) method. DRP is an application to determine the calculation of the need for distribution of diesel oil each period (especially for one year). Companies and their branches benefit can get from DRP application where DRP itself makes predictions or measurements for the needs of diesel fuel for one period, namely the distribution of diesel oil over the next year, the need for distribution of diesel oil every month can be seen in detail. DRP will show the calculation of Planned Order Receipt and Planned Orders Release (POR), Gross Requirements (GR), Projected on Hand (PoH), and Net Requirements (NR). So, that they do not experience delays in the request process from customers.","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131108982","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

Double Morphological Segmentation for Increasing Performance of Signature Classification Using Machine Learning Technique 基于机器学习技术的双形态分割提高签名分类性能

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720985

Chyntia Raras Ajeng Widiawati, Kuat Indartono

{"title":"Double Morphological Segmentation for Increasing Performance of Signature Classification Using Machine Learning Technique","authors":"Chyntia Raras Ajeng Widiawati, Kuat Indartono","doi":"10.1109/ICITISEE.2018.8720985","DOIUrl":"https://doi.org/10.1109/ICITISEE.2018.8720985","url":null,"abstract":"Signatures are one of the important characteristics that security needs to be considered. Some cases related to signature forgery often occur, this is certainly dangerous especially if the signature forgery can be misused. So there needs to be a verification process on the authenticity of signatures related to this. Several studies related to signature verification have been carried out, one of them using digital image processing techniques. However, some studies only propose a method without comparison of results. This study aims to compare methods and development of signature verification methods based on digital image processing with machine learning techniques. The final results of this research can later be used as a design module that can be used in system development or signature verification applications. The data used is the image of the digitization of the signature of the Lecturer in the STMIK AMIKOM Purwokerto environment. The segmentation method used in this study is adaptive maximum minimum thresholding with double morphological operation. Good segmentation results are expected to provide good classification results. Comparison of several different classifiers in the classification stage is carried out, including Linear Regression, Naïve Bayes (NB), Support Vector Machine (SVM), Multilayer Perceptron (MLP) and K-Nearest Neighbor (K-NN).","PeriodicalId":180051,"journal":{"name":"2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123573700","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: 0

Wavelet Huffman Coding Image Watermarking in the Presence of Compressive Sensing 基于压缩感知的小波霍夫曼编码图像水印

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720980

Irma Safitri, Ratri Dwi Atmaja, Azharudin Hidayat

引用次数: 1

Multilevel Clustering Comparison using Self-Organizing Map and K-Means for MIR Score Clustering 基于自组织映射和K-Means的MIR分数聚类多级聚类比较

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/ICITISEE.2018.8720977

Ade Nurhopipah, B. Kusuma

引用次数: 2

Optimization of Exponential Smoothing Method Using Genetic Algorithm to Predict E-Report Service 利用遗传算法优化指数平滑法预测电子报表服务

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI: 10.1109/icitisee.2018.8721008

Ahmad Chusyairi, Ramadar N.S. Pelsri, Estu Handayani

引用次数: 5