2019 7th International Conference on Information and Communication Technology (ICoICT)最新文献_第10页

Nonlinear Autoregressive Neural Network Models for Sea Level Prediction, Study Case: in Semarang, Indonesia 海平面预测的非线性自回归神经网络模型，研究案例:在三宝垄，印度尼西亚

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835307

Miftahul Awali Rizkina, D. Adytia, N. Subasita

{"title":"Nonlinear Autoregressive Neural Network Models for Sea Level Prediction, Study Case: in Semarang, Indonesia","authors":"Miftahul Awali Rizkina, D. Adytia, N. Subasita","doi":"10.1109/ICoICT.2019.8835307","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835307","url":null,"abstract":"Sea level prediction is highly needed for coastal communities. Mainly driven by tidal, the sea level predictions can be used for analyzing the disposal and movements of sediments, tracers and pollutants, off-shore engineering constructions, environmental observations, as well as for ship navigation. Prediction of tides usually use tidal harmonic analysis for long term tidal predictions. However, this tide harmonic analysis has several drawbacks i.e. the method can not be used for short-term and real-time forecasting or instant prediction. Moreover, the method requires a large number of tidal data measurements to obtain accurate prediction. In this paper, we propose a sea level prediction by using Artificial Neural Network (ANN) model approach, namely the Nonlinear Autoregressive Neural Network (NAR). The method is applied for predicting sea level in Tanjung Emas Harbor in Semarang, Indonesia. We compare results of the prediction by using NAR with prediction by using tidal harmonic analysis. The accuracy of the prediction is measured by calculating the RMSE value and R value. NAR produces R value 0.9566 for training data and 0.9567 for prediction data. The choice of number of hidden layers in the NAR can also affects the results of prediction, in term of RMSE value and R value. The results show that NAR method produces a better accuracy in predicting sea level than using the tidal harmonic analysis.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122183399","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

Virtual Screening and ADMET Prediction of RanBP9 Inhibitors for Alzheimer’s Disease 阿尔茨海默病RanBP9抑制剂的虚拟筛选和ADMET预测

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835252

Han Jieh Tey, Chong Han Ng, T. Lim

引用次数: 0

Optimization of Tour Scheduling Using Firefly Algorithm 基于萤火虫算法的旅游调度优化

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835287

Akhmad Saifullah, Z. Baizal, P. H. Gunawan

{"title":"Optimization of Tour Scheduling Using Firefly Algorithm","authors":"Akhmad Saifullah, Z. Baizal, P. H. Gunawan","doi":"10.1109/ICoICT.2019.8835287","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835287","url":null,"abstract":"Bandung is a region in Indonesia that has good potential tourism. Every year, the number of tourists coming to Bandung is increasing. However, most tourists do not have enough information to organize a tour for visiting several touristic places. Therefor a system for tour scheduling is needed to help tourist to enjoy their holiday. Here, we develop a tour scheduling system using the Firefly Algorithm. This algorithm generally is used to solve Traveling Salesman Problem (TSP). The Firefly algorithm generates tour scheduling based on three criteria of user needs, such as distance, popularity and budget. We calculate these three criteria with the Multi Attribute Utility Theory (MAUT). Each criterion has a priority value from user. We use the result of MAUT as a fitness of Firefly Algorithm. The Firefly algorithm also considers opening hours and closing hours for each tourist attractions. This system also recommends some hotels based on two criteria, i.e., distance and facilities. We calculate these two criteria using MAUT. For evaluation, we compare n-days tour scheduling modeled by one step optimization, with per-day tour optimization (n-steps). We employ some parameters, i.e., running time, fitness value and number of visited destinations. Based on the experiment, the running time of per-day tour optimization is 7% faster than one-step optimization. Meanwhile, the fitness value of per-day tour optimization is 14% higher than one-step optimization. In addition, the number of nodes in tour of per-day tour optimization is 30% more than one step optimization. Moreover, based on popularity, travel time and budget, the higher fitness of per-day tour optimization is obtained.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132720478","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

Parallel Computation of Mac-Cormack Method for Simulating Nozzle Gas Flow 喷嘴气流模拟的Mac-Cormack方法并行计算

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835279

Agung F. Gumilar, P. H. Gunawan

{"title":"Parallel Computation of Mac-Cormack Method for Simulating Nozzle Gas Flow","authors":"Agung F. Gumilar, P. H. Gunawan","doi":"10.1109/ICoICT.2019.8835279","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835279","url":null,"abstract":"This paper presents the numerical convergence and parallel performances of nozzle gas flow simulation using Mac-Cormack method. Here, numerical method is used to approximate the gas flow equation which consists of continuity, momentum, and energy equations. The gas flow equation is simulated and compared with analytical solution in order to show the convergence of the numerical method. Here, the result of numerical solution of nozzle gas flow is obtained in a good agreement with the analytical solution. Using discrete L1- and L2-norm error measurements, the errors of mach number are observed 2.5977 × 10−07 and 1.6620 × 10−07 respectively for 6400 discrete points. The performances of parallel computing are evaluated by two computers, AMD Ryzen 5 2400G (PC 1) and Intel i7 4790 (PC 2). The speedup and efficiency of parallel computing in PC 1 is shown better than PC 2. However, CPU time of parallel computing using PC 2 is shown slightly better than PC 1. The speedup in PC 1 and PC 2 is observed 4 times up to 5 times using grid points more than 1000 points and 8 threads. Meanwhile, the efficiency is resulted 53% up to 60% approximately using both computers when the grid number is more than 1000 points.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124630973","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

Security Document for Smart Parking Gate based on Common Criteria Framework 基于通用准则框架的智能停车门安全文档

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835234

Rahmat Yasirandi, Yoso Adi Setyoko, Parman Sukarno

{"title":"Security Document for Smart Parking Gate based on Common Criteria Framework","authors":"Rahmat Yasirandi, Yoso Adi Setyoko, Parman Sukarno","doi":"10.1109/ICoICT.2019.8835234","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835234","url":null,"abstract":"This research used Common Criteria Framework to design more complete security requirements than the previous research for smart parking gate. Common Evaluation Methodology (CEM) mentions that Common Criteria Framework must use ISO 15408. This research used ISO 15408 as a guideline for analyzing, designing, and documenting the system security requirements in a more complete and comprehensive smart parking gate. The initial stage of Common Criteria Framework is to analyze the threats that might occur on the system. This research refers to the threat tree analysis in ISO 15446 to obtain a list of threats that may occur in the system. Based on the threat tree analysis, there were 6 threats to the system built. The next step is mapping the threats to security objectives and obtaining 7 Security Objectives (SO). At the end of this study, the functional requirement of security for the system referring to the references obtained in the previous stage were analyzed. Therefore, 17 Security Functional Requirements (SFR) were obtained. Those 17 SFR can be used as references in developing a system on the smart parking gate to ward off the threats that have been identified initially.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123509824","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: 9

Parallelization of Uniformization Algorithm with CUDA-Aware MPI 基于cuda感知MPI的均匀化算法并行化

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835260

Lia Farhatuaini, Reza Pulungan

引用次数: 2

Increasing Accuracy of Power Consumption Using Artificial Neural Network 利用人工神经网络提高功耗精度

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835371

Arry Muhammad Syukur, Aji Gautama Putrada, M. Abdurohman

{"title":"Increasing Accuracy of Power Consumption Using Artificial Neural Network","authors":"Arry Muhammad Syukur, Aji Gautama Putrada, M. Abdurohman","doi":"10.1109/ICoICT.2019.8835371","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835371","url":null,"abstract":"This paper proposed a smart lighting system using Artificial Neural Network (ANN) algorithm. Power saving is one of the concerns of researchers to continue to be improved. The addition of predictions will increase the ability to save power on the use of smart home devices in the future. Through prediction, the system can decide when the lights are used and when the lights are not used. Therefore, an IoT-based smart light system that can predict the state of the lamp based on sensor data is needed. In this paper ANN algorithm is used to predict the state of the lamp. The purpose of this paper is to analyze the performance of the ANN by entering data from the light system based on the presence of lecturers using magnetic door and infrared sensors. The accuracy of the ANN application is influenced by the lamp state pattern. The result shows that an accuracy of 58.17% for training data and 52.54% for test data in predicting the state of the lamp. The significant power saving is calculated using Wilcoxon Method. It shows that this system provides significance for power saving of 31.75%.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128895760","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

People Entity Recognition in Indonesian Quran Translation with Conditional Random Field Approach 基于条件随机场方法的印尼语古兰经翻译中的人物实体识别

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835266

Farhan Dzaky Arvianto, M. Bijaksana, A. Huda

{"title":"People Entity Recognition in Indonesian Quran Translation with Conditional Random Field Approach","authors":"Farhan Dzaky Arvianto, M. Bijaksana, A. Huda","doi":"10.1109/ICoICT.2019.8835266","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835266","url":null,"abstract":"The Quran is the primary source of law for Muslims. Quran has a total of 30 juzs, divided into 144 surahs and arranged of 6,236 verses and in the Quran discuss different topics and have many entities too, so someone sometimes has difficulty understanding the Quran. To make it easier to understand the Quran, we can get identification of essential entities in the Quran such as names of the people in the Quran. One way to do it is by extracting information on essential entities in Quran is with Named Entity Recognition (NER). NER automatically recognizes essential entities such as the people’s names at the Quran. This paper builds a system for identifying the entity of the people in the Quran using CRF techniques with a multiple choice approach where the system will be introduced with a range of possibilities from the entity and adjusted to an input given to be able to detect entities. On system developing for identifying the entity of the people in Quran with Indonesian Quran translation dataset shows, this test produces an average performance of using the F1 generated at 0.77 for the use of training data as many as 36814 data from 954 verses in the Quran.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128950166","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

Communication Learning User Interface Model for Children with Autism with the Goal-Directed Design Method 基于目标导向设计方法的自闭症儿童交流学习用户界面模型

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835395

F. Susanti, D. Junaedi, V. Effendy

{"title":"Communication Learning User Interface Model for Children with Autism with the Goal-Directed Design Method","authors":"F. Susanti, D. Junaedi, V. Effendy","doi":"10.1109/ICoICT.2019.8835395","DOIUrl":"https://doi.org/10.1109/ICoICT.2019.8835395","url":null,"abstract":"Children with autism have communication disorder that affects the children face difficulty interacting and communicating with their environment both verbally and non-verbally. To facilitate it, learning visual communication was needed because children with autism were better at receiving information visually than orally. The application of visual communication learning for children with autism developed in digital media used the Picture Exchange Communication System (PECS) method. However, there was still a weakness in the development of digital media for example; there were no stages in the communication learning process. Therefore, this study modeled a prototype of “Belajar Komunikasi” (BERAKSI) on a mobile application to correct deficiencies in the development of communication learning. The method used to produce an interface that fits the needs and ability of the children with autism was the Goal-Directed Design (GDD) method. To find out the level of success of usability from the prototype, then testing used by usability goals needed for children with autism, namely easy to use, learnability, feedback and good error messages, adequate help and document, appealing interface with the result of usability testing 78% in the excellent category. This category proves that autistic children are satisfied in using the BERAKSI application.","PeriodicalId":439440,"journal":{"name":"2019 7th International Conference on Information and Communication Technology (ICoICT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116676387","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

Text Segmentation Based on Word Embedding on Indonesian Quran Translation by Greedy with Window Approaching 基于窗口逼近的贪心印尼语古兰经翻译词嵌入文本分割

2019 7th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2019-07-01 DOI: 10.1109/ICoICT.2019.8835338

R. Ramdani, A. Huda, Moch Arif Bijaksana

引用次数: 1