2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)最新文献_第5页

A Water Level Detection: IoT Platform Based on Wireless Sensor Network 水位检测:基于无线传感器网络的物联网平台

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878559

Anton Prafanto, E. Budiman

{"title":"A Water Level Detection: IoT Platform Based on Wireless Sensor Network","authors":"Anton Prafanto, E. Budiman","doi":"10.1109/EIConCIT.2018.8878559","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878559","url":null,"abstract":"Wireless Sensor Network (WSN) has been used in various fields and for various applications. This includes environmental monitoring, volcanic activity monitoring, supporting components in order to provide a smart city, and monitoring activity in the agricultural field. The detection of water level in the river is still not able to work automatically and real-time to determine the water level of the river. This causes the locals generally do not know when the river on the river level grows higher and higher. In this study designed a water level detection sensor-based wireless network that works automatically by reading the height of the water using ultrasonic sensor and then the elevation data is sent to a website so that the public can monitor the height of the river in real time. This system was designed using two main components HC-SR04 and NodeMCU. HC-SR04 periodically transmit data of water level in real time, then NodeMCU upload this to the monitoring platform. The test results show that the design can achieve the collection and stably upload of surrounding environment data, and meet the design requirement of remotely monitoring the living environment conditions. The invention has follow advantages: small power consumption, simple structure, low cost, convenient installation and urban communities of Samarinda no longer confused to monitor the water level in flood-prone points, with this study, now everything can be monitored in real time through all kinds of gadgets.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132972057","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: 17

Application of Web-Based Activity Management Using the RAD Method 基于web的基于RAD方法的活动管理应用

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878649

Budiman, Ali Akbar, A. Irmayanti, Sandhi Prajaka

{"title":"Application of Web-Based Activity Management Using the RAD Method","authors":"Budiman, Ali Akbar, A. Irmayanti, Sandhi Prajaka","doi":"10.1109/EIConCIT.2018.8878649","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878649","url":null,"abstract":"Currently Gapoktan of Ngudi Luhur consists of 5 farmer groups (poktan) spread in 5 hamlets, with a of ± 500 farmer. The management of Gapoktan activities is still done manually, therefore an information system is proposed as a substitute. This study aims to build and implement an information management system for activities at the Ngudi Luhur Farmers Group (Gapoktan) in Magelang, Central Java, based on the web. Data collection included group data, group members, and group activities carried out using focus group discussions, observations with interviews directly with farmer groups. The development method used is Rapid Application Development (RAD) method and the software is built by using PHP and MySQL programming languages as the database. The results of the study make Gapoktan management software consists of 3 parts, namely administration, production, and marketing. Web-based activity management application that can be accessed online by farmer groups considering the distance between farmer groups that are very far away. This application is expected to be the basis for the management of information technology-based farmer groups and the beginning for the development of communication networks between the salak farmers groups incorporated in the Gapoktan of Ngudi Luhur.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116244106","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: 4

Combination of K-Means and Profile Matching for Drag Substitution 结合k -均值和轮廓匹配进行阻力替换

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878539

S. Paembonan, Abdul Rachman Manga’, Jusmidah, Dedy Atmajaya, Ayu Vina Waluyantari, Wistiani Astuti, St. Hajrah Mansyur

{"title":"Combination of K-Means and Profile Matching for Drag Substitution","authors":"S. Paembonan, Abdul Rachman Manga’, Jusmidah, Dedy Atmajaya, Ayu Vina Waluyantari, Wistiani Astuti, St. Hajrah Mansyur","doi":"10.1109/EIConCIT.2018.8878539","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878539","url":null,"abstract":"Substitution of medicines can be done when the medicine required by a patient in the pharmacy is exhausted. In substituting prescription medicines, the pharmacist must notify patients that medicine substitution contains same active ingredients in equal amounts, same type, and its price is different. The right of medicine substitution belongs to pharmacists as long as the doctor allows the substitution. This method serves to make some similar medicines into a particular data set. This researched used K-means method. In terms of time, this method can be used to reduce the searching time process of medicines required by patients. Selection profile matching method was used to determine the medicine substitute recommendations based on the most ideal medicines selection for patients. The recommended medicine’s substances were exactly the same as the previous medicines listed in the prescription. Evaluation clustering used elbow method with cluster k = 3. Based on the experiments, the recommendation of medicine substitution with K-means and profile matching produced accuracy was 0.93506.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134534728","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

EIConCIT 2018 Author Index EIConCIT 2018作者索引

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/eiconcit.2018.8878635

引用次数: 0

Forest Fire Detection using LoRa Wireless Mesh Topology 基于LoRa无线网状拓扑的森林火灾探测

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878488

Adnan, A. Salam, Arham Arifin, M. Rizal

引用次数: 22

Performance of LoRa Gateway based Energy Consumption and Different Frame Sizes 基于能耗和帧大小的LoRa网关性能研究

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878628

Adnan, M. Rizal, A. A. Ilham

引用次数: 2

A Preliminary Study on Identifying Probable Biomarker of Type 2 Diabetes using Recursive Feature Extraction 利用递归特征提取识别2型糖尿病可能生物标志物的初步研究

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878565

Nur Nilamyani, A. Lawi, S. Thamrin

{"title":"A Preliminary Study on Identifying Probable Biomarker of Type 2 Diabetes using Recursive Feature Extraction","authors":"Nur Nilamyani, A. Lawi, S. Thamrin","doi":"10.1109/EIConCIT.2018.8878565","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878565","url":null,"abstract":"Microarray technology has the ability to measure the level expression of thousand genes by single experiment and it can be used by biologist to study about the effect of treatments, disease and developmental stages on their expressions. Microarray based on gene expression profiling can be used to observing the response of expression genes to pathogens and identify which expressions genes are changed by comparing the expression in infected to that uninfected cells or tissue. Type 2 diabetes mellitus is a metabolic disorder that causes an increase in blood sugar due to decreased insulin secretion by pancreatic beta cells and insulin disorder (insulin resistance). The number of incidences of diabetes mellitus in Indonesia reached 10 million and 53% from the patients do not realized that they are infected and 90% case of diabetes from whole world is type 2 of diabetes. Therefore, in this paper, we identify probable biomarker of type 2 diabetes using microarray based on gene expression data. But the risk of using microarray data is the large dimension of data so have to find a way how to solve that problem to get a good prediction result. In this paper will use recursive feature extraction for predicting biomarkers of diabetes mellitus type 2 from microarray gene expression data.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"8 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132026374","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: 2

Bisindo Alphabets Edge Detection Using Color Tracing of Object Boundary 基于物体边界颜色跟踪的Bisindo字母边缘检测

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878554

Dolly Indra, Yulita Salim, Herman, Dedy Atmajaya, P. Lb, Tasrif Hasanuddin

引用次数: 1

Convolutional Neural Network Method Implementation for License Plate Recognition in Android 基于卷积神经网络的Android车牌识别方法实现

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878658

I. Astawa, I. Caturbawa, E. Rudiastari, M. Radhitya, Ni Kadek Dessy Hariyanti

{"title":"Convolutional Neural Network Method Implementation for License Plate Recognition in Android","authors":"I. Astawa, I. Caturbawa, E. Rudiastari, M. Radhitya, Ni Kadek Dessy Hariyanti","doi":"10.1109/EIConCIT.2018.8878658","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878658","url":null,"abstract":"Each vehicle is equipped with an identity in the form of a number plate. Counterfeit documents are often found at the time of examination. Along with the development of artificial intelligence technology, especially in the field of number plate recognition allowing number plate recognition using mobile devices. Using the Android application provides many advantages such as higher recognition accuracy, less resource consumption, and less computational complexity. In this study, the character recognition of vehicle number plates using Convolutional Neural Network (CNN) is one of the deep learning methods. The character recognition process is realized by the segmentation process, which is taking the characters in the number plate. Next is the process of extracting characters with the CNN method. Character extraction results in the form of features. Character features are matched with the pre-prepared character feature database. The test results are very satisfying, which is 94% of the corresponding characters and 6% of characters are not suitable.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121917114","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: 1

Employee Performance Target Management System to Support Work Performance Assessment 支持工作绩效评估的员工绩效目标管理系统

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI: 10.1109/EIConCIT.2018.8878603

A. Rasyid, Mohammad Aldrin Akbar, N. Dengen, Mursalim Tonggiroh, Sitti Nur Alam, E. Budiman

{"title":"Employee Performance Target Management System to Support Work Performance Assessment","authors":"A. Rasyid, Mohammad Aldrin Akbar, N. Dengen, Mursalim Tonggiroh, Sitti Nur Alam, E. Budiman","doi":"10.1109/EIConCIT.2018.8878603","DOIUrl":"https://doi.org/10.1109/EIConCIT.2018.8878603","url":null,"abstract":"Assessment of the implementation of employee work is a process of activities carried out to evaluate the level of execution of work or an employee’s performance appraisal. The purpose of this paper discusses the development of an employee performance target data management system abbreviated as SKP. Software analysis and design methods use Unified Modeling Language modeling for object visualization, with a Model View Controller approach based on an open source Framework. SKP assessment analysis refers to the Indonesian Government Regulation that measures the level of performance achievement based on aspects of quantity, quality, time and cost aspects that compare the realization of the work with the planned target. The results of the study have developed software products for SKP data management systems, built in accordance with the applicable assessment process model. (Process of planned target data and work realization activities). The contribution of the application for optimization of the SKP data management system as an effort to improve management performance in overcoming the issue of data availability, monitoring needs, evaluation of employee performance and material in making decisions for policymakers.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122675374","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: 4