2022 1st International Conference on Information System & Information Technology (ICISIT)最新文献_第7页

Electronic Nose Based on Gas Sensor Array and Neural Network for Indoor Hydrogen Gas Control System 基于气体传感器阵列和神经网络的电子鼻室内氢气控制系统

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872796

Kadek Ari Sudama, M. Rivai, Dava Aulia, T. Mujiono

引用次数: 1

Implementation of Blockchain for Digital Document Data Collection Website 区块链在数字文档数据采集网站中的实现

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9873097

Timothy Harlian, M. F. Ruriawan, Yudha Purwanto

{"title":"Implementation of Blockchain for Digital Document Data Collection Website","authors":"Timothy Harlian, M. F. Ruriawan, Yudha Purwanto","doi":"10.1109/ICISIT54091.2022.9873097","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9873097","url":null,"abstract":"The progress in technology and the digital paradigm forces a new standard, such as switching from physical to digital documents. Digital documents are implemented in various ways like certificates, certificates of merit, even diplomas. However, those things are vulnerable to counterfeit, and the integrity compromise of its content will be challenging to detect. One of the solutions is increasing transparency for the document data to ensure that no single point of failure exists. Blockchain has the potential to solve the problem. Blockchain has the transparency aspect to it. Therefore, it can be used to maintain the validity of document data. Because in blockchain, only read and write operations could be done, nothing could compromise the integrity of the data. This paper implemented a document validation system with Ethereum blockchain and Rinkeby Test Network as blockchain network. This blockchain application can do input, retrieve, update, and delete with 100% black-box testing and 100% white box testing. Performance testing for all transactions has the fastest time, 6.04 seconds, and slowest time, 93.32 seconds.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133217717","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

Diagnostics of Magnetron Transmitter System using Thermal Camera and Neural Network 利用热像仪和神经网络诊断磁控管发射机系统

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872884

Arsy Yudha Prinanto, M. Rivai, Rachmad Setiawan

{"title":"Diagnostics of Magnetron Transmitter System using Thermal Camera and Neural Network","authors":"Arsy Yudha Prinanto, M. Rivai, Rachmad Setiawan","doi":"10.1109/ICISIT54091.2022.9872884","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872884","url":null,"abstract":"The magnetron transmitter system is one of the most important components of weather radar. Monitoring the condition of the system is crucial to ensure the radar is operating normally. In this study, the temperature monitoring of the magnetron transmitter system was carried out. Thermal camera MLX90640 accompanied by NodeMCU ESP32 microcontroller provides a temperature matrix, which can represent the overall temperature of the radar system. The diagnosis system is built based on a neural network consisting of a hidden layer, and an output layer that classifies six system conditions. The results of this study showed that the thermal camera can measure the temperature of the magnetron transmitter system. This system can obtain 100% accuracy in identifying the conditions of the magnetron transmitter system, namely magnetron on, magnetron off, radar off, modulator power supply overheat, switch array unit overheat, and signal processing faulty. This innovation is expected to be early detection of an anomaly that occurs in the magnetron transmitter system so that it can minimize downtime to make repairs due to the unpreparedness of spare parts.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117091118","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

Software Practices For Agile Developers: A Systematic Literature Review 敏捷开发人员的软件实践:系统的文献综述

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872874

Devina Arnyndiasari, R. Ferdiana, P. Santosa

引用次数: 1

Artlution: Architecture Design of Mobile Apps for Artblock Problems Artlution:针对Artblock问题的移动应用架构设计

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872719

Gregorius Kevin Satrya Ananta, Y. Kusumawati, A. Pramono

引用次数: 0

Information System Analysis And Design For Mobile-Based Homain Applications 基于移动终端的信息系统分析与设计

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872900

Muhammad Alttha Ikhsan, Daffa Albaihaqi Santoso, Fauzan Farrel Maulana Ruchiyat, Henkie Ongowarsito

{"title":"Information System Analysis And Design For Mobile-Based Homain Applications","authors":"Muhammad Alttha Ikhsan, Daffa Albaihaqi Santoso, Fauzan Farrel Maulana Ruchiyat, Henkie Ongowarsito","doi":"10.1109/ICISIT54091.2022.9872900","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872900","url":null,"abstract":"Builders are workers with specific expertise in development. Community needs for workers with special skills to repair parts of homes remain difficult to find due to space and space constraints. In the current era of the Covid-19 pandemic, there are many people like construction workers who want to find work, and many people who need construction workers to repair parts of their homes but are not sure if construction workers are performing well or not well recruited by them. In this study, the authors propose an application to understand how construction workers can be found through an online application, and how potential clients can find suitable and trustworthy contractors. Smartphone users only need a smartphone and an internet connection to access this HoMain app. The purpose of this study is to design an online application for a mobile-based construction service ordering system to support the needs of the community and builders during construction work. With this app, people can easily order construction services based on online location. The HoMain application development method adopts the Rapid Application method, and the application development is relatively fast and efficient.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114433274","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 Breed Lineage for Small Ruminant Production using Deep Learning Technique 基于深度学习技术的小反刍动物品种谱系预测

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872865

Mohammad Farizshah Ismail Kamil, N. Jamaludin, Mohd Rizal Mohd Isa, S. Jusoh

{"title":"Prediction of Breed Lineage for Small Ruminant Production using Deep Learning Technique","authors":"Mohammad Farizshah Ismail Kamil, N. Jamaludin, Mohd Rizal Mohd Isa, S. Jusoh","doi":"10.1109/ICISIT54091.2022.9872865","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872865","url":null,"abstract":"According to UN Committee on World Food Security, people must always have access to sufficient food supplies such as meat, chicken, and sheep. Although important to Malaysian Muslims which account for about 60% of the population, sheep are in short supply locally due to the high mortality rate caused by fatal diseases such as Foot and Mouth Disease (FMD), Tetanus, etc. Because of inbreeding, qualities such as disease resistance, fertility, prolificacy, vigor, and survivability are reduced in animals, often referred to as inbreeding depression. It is important to note that infected sheep may cause contaminated sheep meat produce, transmitting foodborne bacteria such as E.coli and Salmonella to humans during different stages of food preparation. Previously, other papers compared hundreds of images of sheep to deep learning models to learn of its breed. Although successful, both methods took a long period to complete. This paper proposes a framework based on deep learning techniques that will identify and predict breed lineage and inherited disease in sheep. The adopted deep learning algorithm will improve time efficiency in retrieving immediate information while still maintaining a high accuracy rate. From a wider perspective, the proposed framework has the potential to be used across domains as it can be trained with any other dataset.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117335807","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

Application of Inventive Design Methodology for a Sensor Fusion Approach in Structure-from-Motion (SfM) Applications 传感器融合方法在结构-运动(SfM)应用中的创新设计方法

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872690

Antonius Schmidt, Dominik Aufderheide

引用次数: 0

Sentiment Analysis on Online Learning During the Covid-19 Pandemic Based on Opinions on Twitter using KNN Method 基于推特意见的新冠肺炎疫情在线学习情感分析

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872926

Arif Ridho Lubis, S. Prayudani, M. Lubis, Okvi Nugroho

{"title":"Sentiment Analysis on Online Learning During the Covid-19 Pandemic Based on Opinions on Twitter using KNN Method","authors":"Arif Ridho Lubis, S. Prayudani, M. Lubis, Okvi Nugroho","doi":"10.1109/ICISIT54091.2022.9872926","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872926","url":null,"abstract":"Coronavirus Disease of 2019 began in Wuhan in December 2019 and it was declared as a global pandemic by WHO. Until January 2021, it affected all of human activities on earth i.e., experiencing many obstacles from restrictions on activities, closure of tourist attractions to restrictions on face-to-face learning activities in schools or universities. Due to the policy of providing a broad influence on the community with various comments through social media, many twitter users make tweets containing positive and negative comments leading to statements about online learning or daring. The problem is that they contain so many different words, abbreviations, informal language, and symbols, creating difficulties to choose which words or groups of words that can produce positive or negative statements. K-Nearest Neighbors algorithm is used to classify positive and negative tweet data, the results were AUC for class 0: 0.754, 1: 0.635, 2: 0.721 and with a precision classification score of 0.86, recall is 0.85 so that the results of the classification of negative and positive sentences on the online learning tweet data were ROC-AUC of 0. 853 and the accuracy value of 0.885.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133707779","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: 14

Biometric Verification Based on ECG Signal using 1 Dimensional Convolutional Neural Network 基于一维卷积神经网络的心电信号生物特征验证

2022 1st International Conference on Information System & Information Technology (ICISIT) Pub Date : 2022-07-27 DOI: 10.1109/ICISIT54091.2022.9872891

F. F. Taliningsih, Y. Fu’adah, S. Rizal, Achmad Rizal, M. A. Pramudito, Giyan Sukma Pratama, Andi Fany

引用次数: 0