International Journal of Artificial Intelligence Research最新文献_第2页

Mobile Forensic Investigation of Fake News Cases on Instagram Applications with Digital Forensics Research Workshop Framework 利用数字取证研究工作坊框架对Instagram应用上的假新闻案件进行移动取证调查

International Journal of Artificial Intelligence Research Pub Date : 2022-07-20 DOI: 10.29099/ijair.v6i2.311

I. Riadi, H. Herman, Irhash Ainur Rafiq

{"title":"Mobile Forensic Investigation of Fake News Cases on Instagram Applications with Digital Forensics Research Workshop Framework","authors":"I. Riadi, H. Herman, Irhash Ainur Rafiq","doi":"10.29099/ijair.v6i2.311","DOIUrl":"https://doi.org/10.29099/ijair.v6i2.311","url":null,"abstract":"The number of digital crimes or cybercrimes today continues to increase every year, and lately a lot of it happens on social media like Instagram. The social behavior of today's people who communicate more through social media encourages the perpetrators of these digital crimes. Instagram is a social media that is often found content that contains elements of pornography, hoax news, hate speech, etc. This research is aimed at processing digital evidence of cases of the spread of hoax news on the Instagram application. This research follows the framework of the Digital Forensics Research Workshop (DFRWS) with six stages, namely identification, preservation, collection, examination, analysis, and presentation. The process of obtaining digital evidence is assisted by the application of Axiom Magnet and Cellebrite UFED. Digital evidence sought from the smartphone device of the suspected hoax news disseminator seized following the case scenario consists of 8 variables in the form of accounts, emails, images, videos, URLs, times, IP address, and location. The results of this research with the help of the application of Magnet Axiom digital proof obtained 87.5% and the Cellebrite UFED application of 68.75%. The results of this study show that Magnet Axiom has better performance than MOBILedit Forensics.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131028056","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

Smart Contract Blockchain Application Design Based on The Distribution of Product Return Transaction Data 基于产品返回交易数据分布的智能合约区块链应用设计

International Journal of Artificial Intelligence Research Pub Date : 2022-07-20 DOI: 10.29099/ijair.v6i1.263

R. Ekawati, Y. Arkeman, Suprihatinr Suprihatinr

{"title":"Smart Contract Blockchain Application Design Based on The Distribution of Product Return Transaction Data","authors":"R. Ekawati, Y. Arkeman, Suprihatinr Suprihatinr","doi":"10.29099/ijair.v6i1.263","DOIUrl":"https://doi.org/10.29099/ijair.v6i1.263","url":null,"abstract":"In 2020, there will be 1% bulk sugar product returns. Direct return to warehouse; it is not known how much and what kind of sugar was returned. Changes in the number of uncontrolled product availability occur in the logistics sector. We designed a sugar volume return mechanism to verify the identity of the buyer, the amount and time of the transaction, using the steps of investigation, analysis, and system design that can implement. The application is based on the truffle test framework and smart contracts on the Ropsten test network on the Ethereum Metamask platform wallet, localhost memory, and a decentralized web-based dashboard. Input data on the smart contract so that during the Ropsten net test process, it will generate blocks, hash codes, and contract hashes as transaction details. It also displays a summary report and a blockchain transaction dashboard. How much volume will increase or decrease due to returns, buyers, type of sugar commodity, time, and volume of sugar during data transactions is known. The features developed for smart contracts are private, semi-public transactions with consensus proof of work as validation and verification of the success of transaction data records.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130564025","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

Defining Common Inter-Session and Inter-Subject EEG Channels Using Spatial Selection Method 用空间选择方法定义常见的会话间和主体间脑电信号通道

International Journal of Artificial Intelligence Research Pub Date : 2022-07-20 DOI: 10.29099/ijair.v6i2.284

Hilman Fauzi, Tadayasu Komura, M. Kyoso, M. I. Shapiai, Yasmin Mumtaz

{"title":"Defining Common Inter-Session and Inter-Subject EEG Channels Using Spatial Selection Method","authors":"Hilman Fauzi, Tadayasu Komura, M. Kyoso, M. I. Shapiai, Yasmin Mumtaz","doi":"10.29099/ijair.v6i2.284","DOIUrl":"https://doi.org/10.29099/ijair.v6i2.284","url":null,"abstract":"Redundancy of information on brain signals can lead to reduce brain-computer interface (BCI) performance in applications. To overcome this, EEG channel selection is performed to reduce and/or eliminate a number of channels with irrelevant information. In the previous studies, there is energy calculation methods that have been proposed to perform EEG channel selection to improve BCI performance in classifying the brain command of motor imagery stimulation. In this study, channel selection scheme on motor movement signal will be experimented by using spatial selection method. This study performs the common active channel mechanism that divided into two parts: 1) common active channels between sessions, which known as common Inter-session channels and common active channels. These two techniques can be used by all subjects to interpret motor movement type known as common Inter-subject channels. In order to validate the performance of the proposed framework, CSP (common spatial pattern) is used as a feature extraction method and k-NN with k = 3 as the classification method. The obtained results shows that the proposed channel selection technique is able to choose common active channels in five combination numbers on Inter-sessions and Inter-subjects of the acquired EEG signals. Both types of common active channels are proven to improve BCI performance with an accuracy increase of up to 66%.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131342530","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

Face Detection Analysis of Digital Photos Using Mean Filtering Method 基于均值滤波的数字照片人脸检测分析

International Journal of Artificial Intelligence Research Pub Date : 2022-07-20 DOI: 10.29099/ijair.v6i2.307

S. Sunardi, A. Yudhana, Setiawan Ardi Wijaya

引用次数: 0

Prediction of SPT value based on CPT data and soil properties using ANN with and without normalization 基于CPT数据和土壤性质的人工神经网络预测SPT值

International Journal of Artificial Intelligence Research Pub Date : 2021-07-30 DOI: 10.29099/ijair.v5i2.208

Hendra Fernando, S. Nugroho, R. Suryanita, M. Kikumoto

{"title":"Prediction of SPT value based on CPT data and soil properties using ANN with and without normalization","authors":"Hendra Fernando, S. Nugroho, R. Suryanita, M. Kikumoto","doi":"10.29099/ijair.v5i2.208","DOIUrl":"https://doi.org/10.29099/ijair.v5i2.208","url":null,"abstract":"Artificial neural networks (ANN) are now widely used and are becoming popular among researchers, especially in the geotechnical field. In general, data normalization is carried out to make ANN whose range is in accordance with the activation function used. Other studies have tried to create an ANN without normalizing the data and ANN is considered capable of making predictions. In this study, a comparison of ANN with and without data normalization was carried out in predicting SPT values based on CPT data and soil physical properties on cohesive soils. The input data used in this study are the value of tip resistance, sleeve resistance, effective soil overburden pressure, liquid limit, plastic limit and percentage of sand, silt and clay. The results showed that the ANN was able to make predictions effectively both on networks with and without data normalization. In this study, it was found that the ANN without data normalization showed a smaller error value than the ANN with data normalization. In the network model without data normalization, RMSE values were 3.024, MAE 1.822, R2 0.952 on the training data and RMSE 2.163, MAE 1.233 and R2 0.976 on the test data. Whereas in the ANN with data normalization, the RMSE values were 3.441, MAE 2.318, R2 0.936 in the training data and RMSE 2.785, MAE 2.085 and R2 0.963 in the test data. ANN with normalization provides a simpler architecture, which only requires 1 hidden layer compared to ANN without normalization which requires 2 hidden layer architecture.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132902151","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

The Implementation Analysis Of Lamport Scheme With Sha-256 On Mobile E-Office 基于Sha-256的Lamport方案在移动电子办公中的实现分析

International Journal of Artificial Intelligence Research Pub Date : 2021-07-30 DOI: 10.29099/ijair.v5i2.212

H. Widodo, M. Mardiana, M. Ulvan, A. Ulvan

{"title":"The Implementation Analysis Of Lamport Scheme With Sha-256 On Mobile E-Office","authors":"H. Widodo, M. Mardiana, M. Ulvan, A. Ulvan","doi":"10.29099/ijair.v5i2.212","DOIUrl":"https://doi.org/10.29099/ijair.v5i2.212","url":null,"abstract":"Electronic administration system is one of the best solutions in the current digital era, electronic-based systems are considered to make it easier for an organization to process data and can reduce the possibility of data loss due to human error or natural disasters. The current administrative data management application is called the Electronic Office (E-Office). The E-Office handles data for incoming mail, outgoing mail and mail disposition. There are frequent delays in receiving information and validating letter files that are still carried out using physical files, so the mobile e-office is a solution that can be used by an agency to make it easier for workers to access information more quickly and can be done anywhere. Data security is an important thing that needs to be considered in an electronic transaction, so this research will add data security to the mobile e-office using sha-256 and lamport schemes. We present data on the results of this mobile e-office test on mobile devices and virtual private servers (vps), the data is in the form of functional application performance testing results and records of processing time performed by mobile and vps devices. From this data an analysis will be carried out to determine the appropriateness of the devices that can be used in running a mobile e-office.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123012178","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

IBC Tracer: Web-Based Application for Online Tracing the Spread of Covid-19 in Indonesia Using BFS Algorithm IBC Tracer:基于web的应用程序，使用BFS算法在线跟踪Covid-19在印度尼西亚的传播

International Journal of Artificial Intelligence Research Pub Date : 2021-07-23 DOI: 10.29099/IJAIR.V6I1.246

Putu Agus Eka Pratama

{"title":"IBC Tracer: Web-Based Application for Online Tracing the Spread of Covid-19 in Indonesia Using BFS Algorithm","authors":"Putu Agus Eka Pratama","doi":"10.29099/IJAIR.V6I1.246","DOIUrl":"https://doi.org/10.29099/IJAIR.V6I1.246","url":null,"abstract":"In the case of handling the Covid-19 pandemic in Indonesia, there is a 3T (Testing, Tracing, Treatment) movement promoted by the government to reduce the impact of the spread and transmission of Covid-19. For tracing, there are currently no Information Technology-based applications or services that can assist the public in simulating the tracing of the spread of Covid-19 from one location to another location and providing disaster mitigation education to users through suggestions provided by the application after the tracking process. For this reason, this study was designed and implemented using a web-based Artificial Intelligence (Breadth-First Search) algorithm called Indonesia BFS Covid-19 (IBC). This research uses Design Science Research Methodology (DSRM) and tested using BlackBox Testing. From the testing results, it is concluded that the application can simulate the process of tracing the spread of Covid-19 in Indonesia well based on the starting point and destination, and users can gain an understanding of disaster mitigation education from the advice given by the post-tracing application, as part of 3T, to help decide the impact of the spread of Covid-19 in Indonesia.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123204714","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

Information systems Estimated demand for certified seed 信息系统对认证种子的估计需求

International Journal of Artificial Intelligence Research Pub Date : 2021-07-01 DOI: 10.29099/ijair.v5i2.235

Jaja Jaja, Siska Agnes, Santi Purwanti, Tawseef Shaikh Ayoub

引用次数: 0

Best Cluster Optimization with Combination of K-Means Algorithm And Elbow Method Towards Rice Production Status Determination 基于k -均值算法和肘部法的最佳聚类优化研究

International Journal of Artificial Intelligence Research Pub Date : 2021-06-30 DOI: 10.29099/ijair.v6i1.232

Paska Marto Hasugian, Bosker Sinaga, Jonson Manurung, Safa Ayoub Al Hashim

{"title":"Best Cluster Optimization with Combination of K-Means Algorithm And Elbow Method Towards Rice Production Status Determination","authors":"Paska Marto Hasugian, Bosker Sinaga, Jonson Manurung, Safa Ayoub Al Hashim","doi":"10.29099/ijair.v6i1.232","DOIUrl":"https://doi.org/10.29099/ijair.v6i1.232","url":null,"abstract":"Indonesia is the third-largest country in the world with rice production reaching 83,037,000 and became the highest production in southeast Asia spread in several provinces in Indonesia The problem found that such product has not been able to cover the needs of Indonesian people with a very high population so that in the research conducted information excavation to generate potential to the pile of data that has been described and analyzed by BPS with clustering topics. Clustering will help related parties, especially the ministry of agriculture, in determining land development priorities and can minimize the shortage of rice production nationally. Grouping process by involving the K-means algorithm to group rice production with a combination of the elbow method as part of determining the number of clusters that will be recommended with attributes supporting the area of harvest, productivity, and production. Method of researching with data cleaning activities, data integration, data transformation, and application of K-means with a combination of elbow and pattern evaluation. The results achieved based on the work description with a combination of K-Means and elbow provide cluster recommendations that are the best choice or the most optimal is iteration 2 which is the lowest rice production group with a total of 22 provinces, rice production with a medium category of 9 and production with the highest category with 3 regions","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128170163","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

Prediction of Scholarship Recipients Using Hybrid Data Mining Method with Combination of K-Means and C4.5 Algorithms 基于K-Means和C4.5算法的混合数据挖掘方法的奖学金获得者预测

International Journal of Artificial Intelligence Research Pub Date : 2021-06-30 DOI: 10.29099/ijair.v5i2.224

Mardison Mardison, Sarjon Defit, Shaza Alturky

{"title":"Prediction of Scholarship Recipients Using Hybrid Data Mining Method with Combination of K-Means and C4.5 Algorithms","authors":"Mardison Mardison, Sarjon Defit, Shaza Alturky","doi":"10.29099/ijair.v5i2.224","DOIUrl":"https://doi.org/10.29099/ijair.v5i2.224","url":null,"abstract":"Obtaining a scholarship is the desire of every student or student who studies, especially those who come from poor families. The scholarship can lighten the burden on parents who pay for these students and can streamline the lecture process. However, students do not know exactly what they have to do to get the scholarship. Aside from that, students naturally want to know what causes and conditions have the greatest impact on achievement. The objective of this research is how to predict which number of students among them are predicted to get a scholarship at the opening of the scholarship acceptance using the K-Means and C4.5 methods. Apart from that, the aim of this research is to discover how the K-Means algorithm conducts data clustering (clustering) of student data to determine if they will succeed or not, as well as how the C4.5 algorithm makes predictions against students who have been clustered together. The Rapid Miner program version 9.7.002 was used to process the data in this report. The results of this study were that out of 100 students, 32 students were not scholarship recipients and 68 students were scholarship recipients. Another result of this research is that out of 100 students it is predicted that 9 (9%) will receive scholarships and 91 (91%) will not receive scholarships.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130338787","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