2021 9th International Conference on Information and Communication Technology (ICoICT)最新文献_第4页

IoT Application on Agricultural Area Surveillance and Remote-controlled Irrigation Systems 物联网在农区监控和远程控制灌溉系统中的应用

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527438

Ratnasari Nur Rohmah, H. Supriyono, Agus Supardi, Hasyim Asyari, Riant Rahmadi, Yana Oktafianto

{"title":"IoT Application on Agricultural Area Surveillance and Remote-controlled Irrigation Systems","authors":"Ratnasari Nur Rohmah, H. Supriyono, Agus Supardi, Hasyim Asyari, Riant Rahmadi, Yana Oktafianto","doi":"10.1109/ICoICT52021.2021.9527438","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527438","url":null,"abstract":"This research applies IoT technology to help farmers overcome two problems by proposing an agricultural land surveillance system and a remote-controlled irrigation system. The agricultural land surveillance system in this research was designed to detect object’s motion, take pictures of objects, and send image data to the user’s smartphone. The surveillance system also provided a live streaming video mode by request. The irrigation system was designed to monitor temperature, send data to the user, and allowing the control of water pump operation remotely by the user via a smartphone. Tests on systems performance show that both systems performed properly. In the surveillance system, the optimal distance for motion detection by the sensor was 6 meters. On sunny days, the time needed from taking the image when motion was detected and notification received by the user was 4.9 seconds while the interval from notification to the image sent was 3.9 seconds. In live streaming video mode, the user must wait 2.3 seconds on average to receive live streaming video on a smartphone. In the irrigation system performance, the average temperature measurement error of the sensor was 1.49%. Sensor data transmission to the user’s smartphone works well and the user can remotely control the pump operation.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122747099","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

Cyberbullying Detection on Indonesian Twitter using Doc2Vec and Convolutional Neural Network 基于Doc2Vec和卷积神经网络的印尼推特网络欺凌检测

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527420

Shindy Trimaria Laxmi, Rita Rismala, Hani Nurrahmi

引用次数: 7

IoT Drone Camera for a Paddy Crop Health Detector with RGB Comparison 用于具有RGB比较的水稻作物健康检测器的物联网无人机摄像头

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527421

Elvaretta Dian Detiana Yucky, Aji Gautama Putrada, M. Abdurohman

引用次数: 3

Spam Detection on Indonesian Beauty Product Review 印尼美容产品评论的垃圾邮件检测

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527409

Muhammad Ahsan Athallah, A. Romadhony

引用次数: 0

Ransomware Detection on Bitcoin Transactions Using Artificial Neural Network Methods 基于人工神经网络的比特币交易勒索软件检测

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527414

Hairil, N. Cahyani, H. Nuha

{"title":"Ransomware Detection on Bitcoin Transactions Using Artificial Neural Network Methods","authors":"Hairil, N. Cahyani, H. Nuha","doi":"10.1109/ICoICT52021.2021.9527414","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527414","url":null,"abstract":"The use of digital currency or cryptocurrency in various virtual transactions is common due to its easiness. Cryptocurrency is a digital currency that is used for virtual transactions on the internet network. The most common types of cryptocurrencies include Litecoin, Ethereum, Monero, Ripple, and Bitcoin. Even though cryptocurrencies have secret codes that are quite complicated and complex that serve to protect and maintain the security of digital currencies, it is possible to be hacked by skilled hackers. Cryptocurrency-related hacking is a type of digital crime that is very harmful or dangerous acts. For example, in recent years, cases of hacking on bitcoin transactions using ransomware have been on the rise. Ransomware is malicious software that secretly infects a victim’s device, and suddenly asks for a ransom to decrypt encrypted data. This type of malware aims to blackmail a victim whose computer is infected with ransomware by asking for a certain amount of money as a ransom. Therefore, a design was built in the form of a ransomware detection system based on available bitcoin heist data so as to minimize hacking attacks against cryptocurrency in the future. The ransomware detection system was built using the backpropagation artificial neural network method using Weka software. The best results in data testing are using the parameter number of hidden layer with 9 neurons; learning rate 0.1; and the number of iterations of 5000 yields an accuracy rate of 97%.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125510240","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

Non-Stationary Order of Vector Autoregression in Significant Ocean Wave Forecasting 非平稳阶向量自回归在重大海浪预报中的应用

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527502

Fikka Raudiya, A. A. Rohmawati, D. Adytia

引用次数: 1

Designing an Educational Game Evaluation Framework Based on Game Mechanics 基于游戏机制的教育游戏评价框架设计

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527418

Satrio Adi Rukmono, Fais Zharfan Azif, Muhammad Zuhri Catur Candra

引用次数: 2

A Review on IoT with Big Data Analytics 物联网与大数据分析综述

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527503

Abu Fuad Ahmad, Md. Shohel Sayeed, Choo Peng Tan, K. Tan, Md Ahsanul Bari, Ferdous Hossain

{"title":"A Review on IoT with Big Data Analytics","authors":"Abu Fuad Ahmad, Md. Shohel Sayeed, Choo Peng Tan, K. Tan, Md Ahsanul Bari, Ferdous Hossain","doi":"10.1109/ICoICT52021.2021.9527503","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527503","url":null,"abstract":"The Internet of Things (IoT) is a powerful and transformative force for the convergence of the physical and digital world of technology. The IoT is connecting things, businesses, and people in real-time and on a massive scale. The IoT is the network of interconnected devices that contains actuators, sensors, electronics, software and connectivity which lets these things connect, interact and transfer data. Connected devices and software work in ways that produce massive amounts of data where Big Data comes into the picture. The terminology of Big Data represents diverse sets of information that are both very large and complex in nature. Big data offers a better way of managing and using a large amount of data with the opportunity to conduct deeper and richer analysis. Although the extensive number of big data analytics and IoT studies has been performed, the overlapping of the two fields of study creates various possibilities for thriving data analysis in the IoT environment. This paper presents a thorough review of the recent advancement of IoT with big data and analytics. We also make a review of the relationship between these fields. We present a discussion on the application area of IoT and big data analytics as well as the opportunities created by enabling analytics in an IoT system.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128957411","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

Hoax Identification on Tweets in Indonesia Using Doc2Vec 使用Doc2Vec识别印度尼西亚推文中的骗局

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527515

Titi Widaretna, Jimmy Tirtawangsa, A. Romadhony

引用次数: 4

Developing Suicide Risk Idea Identification for Teenager (SERIINA) Mobile Apps Prototype using Extended Rapid Application Development 基于扩展快速应用程序开发开发青少年自杀风险想法识别(SERIINA)移动应用程序原型

2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527508

Tenia Wahyuningrum, Gita Fadila Fitriana, Ariq Cahya Wardhana, Muhammad Amien Sidiq, Dyah Wahyuningsih

{"title":"Developing Suicide Risk Idea Identification for Teenager (SERIINA) Mobile Apps Prototype using Extended Rapid Application Development","authors":"Tenia Wahyuningrum, Gita Fadila Fitriana, Ariq Cahya Wardhana, Muhammad Amien Sidiq, Dyah Wahyuningsih","doi":"10.1109/ICoICT52021.2021.9527508","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527508","url":null,"abstract":"Suicide death is the number 15 cause of death in the world. Suicide cases go undetected because the perpetrator shows no signs beforehand. Therefore, it is necessary to identify the risk of suicide in adolescents early, accessed quickly, maintains user privacy, and understand user needs. Using the Risk Factors of Suicidal Ideation (RFSI) questionnaire, it hoped to detect early suicide incidents in adolescents. This research proposed a Suicide Risk Idea Identification for Teenager (SERIINA), a mobile application developed using the Extended Rapid Application Development (ERAD) method. The ERAD method combines the concept of design sprint and RAD in the system development cycle. Based on the research results, SERIINA mobile apps development is completed in 19 days. The functional testing using Black-Box testing shows that the application works well and compatible with the five main scenarios. The results of interface design testing using heuristic evaluation indicate that the application has been well designed, with a usability value of 2.34 or about 72-85% according to design rules.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114299021","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