International Journal of Artificial Intelligence Research最新文献

{"title":"The Influence Of Information Technology And The Perception Of Usefulness On The Use Of E-Filing","authors":"I. S. Setya Nusa, Snježana Dubovick","doi":"10.29099/ijair.v5i2.234","DOIUrl":"https://doi.org/10.29099/ijair.v5i2.234","url":null,"abstract":"This present study at identifying the influence of information technology toward the use of e-Filing and the influence of perception of usefulness toward the use of e-Filing. The research method used is descriptive and verification with quantitative approach. The data used is primary data, while data collection techniques used are field research and library research. The sample in this research are 34 individual taxpayers of Weat Java Provincial Secretariat Office. The analysis model used is SEM PLS. The results of this study show that information technology has an effect on the use of e-Filingand usability perception has an effect on the use of e-Filing","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"79 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":"122881675","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}

{"title":"Hybrid Data Mining with the Combination of K-Means Algorithm and C4.5 to Predict Student Achievement","authors":"Agung Ramadhanu, Sarjon Defit, S. Kareem","doi":"10.29099/ijair.v6i1.225","DOIUrl":"https://doi.org/10.29099/ijair.v6i1.225","url":null,"abstract":"Getting academic achievement is the dream of every student who studies at higher education, especially undergraduate level. Undergraduate students aspire to the highest achievement (champion) at the last achievement of their studies. However, students cannot predict whether these students with the habits that have been done and the current conditions will make them excel or not. Apart from that, of course, students also want to know what factors and conditions influence the achievement the most. The objective to be achieved in this research is how to predict which number of students among them are predicted to excel (champion) at the end of the semester with a combination of the K-Means and C4.5 methods. Besides, the purpose of this study reveals how the K-Means algorithm performs data clustering of student data who will excel or not and how the C4.5 algorithm predicts students who have been grouped. Data processing in this study uses the Rapid Miner software version 9.7.002. The result of this research is that it is easier to group data in numerical form than data in polynomial form. Other results in this study were that out of 100 students, 27 students (27%) were predicted to excel (champions) and 73 (73%) did not achieve (not champions).","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"47 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":"125755867","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}

{"title":"Distributed Denial Of Service (DDOS) Attack Detection On Zigbee Protocol Using Naive Bayes Algoritm","authors":"Ibnu Masud, Kusrini Kusrini, Agung Budi Prasetio","doi":"10.29099/ijair.v5i2.214","DOIUrl":"https://doi.org/10.29099/ijair.v5i2.214","url":null,"abstract":"Distributed Denial of Service or better known as DDoS is an attempted attack from several computer systems that target a server so that the amount of traffic becomes too high so that the server cannot handle the request. DDoS is usually done by using several computer systems that are used as sources of attacks. So they attack one server through several computers so that the amount of traffic can also be higher. A DDoS attack is like a traffic jam that prevents a driver from reaching their desired destination on time. According to data, 33% of businesses in the world have fallen victim to DDoS attacks. DDoS is hard to trace. Some types of DDoS attacks can be very powerful and even reach speeds of 1.35 Tbps. Additionally, DDoS attacks can cause losses of $ 40,000 per hour if they occur. ZigBee is a standard from IEEE 802.15.4 for data communication on personal consumer devices as well as for business scale. ZigBee is designed with low power consumption and works for low level personal networks. ZigBee devices are commonly used to control another device or as a wireless sensor. ZigBee has a feature which is able to manage its own network, or manage data exchange on the network [1]. Another advantage of ZigBee is that it requires low power, so it can be used as a wireless control device which only needs to be installed once, because only one battery can make ZigBee last up to a year. In addition, ZigBee also has a \"mesh\" network topology so that it can form a wider network and more reliable data. In the previous research of Muhammad Aziz, Rusydi Umar, Faizin Ridho (2019) based on the results of the analysis carried out that the attack information that has been detected by the IDS based on signatures needs to be reviewed for accuracy using classification with statistical calculations. Based on the analysis and testing carried out with the artificial neural network method, it was found that the accuracy was 95.2381%. The neural network method can be applied in the field of network forensics in determining accurate results and helping to strengthen evidence at trial. The Naïve Bayes model performed relatively poor overall and produced the lowest accuracy score of this study (45%) when trained with the CICDDoS2019 dataset [47]. For the same model, precision was 66% and recall was 54%, meaning that almost half the time, the model misses to identify threats. ","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"179 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":"114263170","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}

{"title":"Data Warehouse Design With ETL Method (Extract, Transform, And Load) for Company Information Centre","authors":"Wulan Stau Fana, Rini Sovia, Randi Permana, Ataul Islam","doi":"10.29099/ijair.v5i2.215","DOIUrl":"https://doi.org/10.29099/ijair.v5i2.215","url":null,"abstract":"Data Warehouse is a technology use to analyze, extract and evaluate data into information which produce knownledge in the form of analysis to provide an advice in decision making process. Designing a Data Warehouse using ETL (Extract, Transformation and Load) process serves as the collection of data from different data sources into a multitude of integrated data sets. By using snowflake scheme for the design of the data warehouse make data prepare well and ready for analyze on Data Warehouse. The result of  this reseach is to applied Data Warehouse that use to support company decision making progress make easier and has a good decision since its come from Data Warehouse","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"44 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":"123138884","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}

{"title":"Social Awareness and Safety Assistance of COVID-19 based on DLN face mask detection and AR Distancing","authors":"A. Tenriawaru, A. Basori, A. B. F. Mansur, Qusai Al-Qurashi, Abdullah Al-Muhaimeed, Majid Al-Hazmi","doi":"10.29099/ijair.v5i2.230","DOIUrl":"https://doi.org/10.29099/ijair.v5i2.230","url":null,"abstract":"The outbreak of coronavirus disease (COVID-19) has forced major countries to apply strict policy toward society. People must wear a facemask and always keep their distance from each other's to avoid virus contamination. Government employ officers to monitor citizen and warn them if not wearing a face mask. The warning message also spread through SMS and social media to ensure people about safety and awareness. This paper aims to provide face mask detection using the Deep Learning Network(DLN) and warning system through video stream input from CCTV or images then analyzed. If people not wearing a mask are detected, they will alert them through the speaker and remind them about a penalty. AR distancing very useful to give position toward violator location based on the detected person in a certain area. The system is designed to work intelligently and automatically without human intervention. With the accuracy of 99% recognition, it's expected that the system can help the government to increase people awareness toward the safety of themselves and people around them.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"10 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":"121433439","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}

{"title":"The Development of ITSM Research in Indonesia: A Systematic Literature Review","authors":"B. Hayadi, H. Sukmana, Eghar Shafiera, Jin-Mook Kim","doi":"10.29099/ijair.v5i2.233","DOIUrl":"https://doi.org/10.29099/ijair.v5i2.233","url":null,"abstract":"IT Service Management (ITSM) is a framework used to support businesses by increasing IT service quality. Several studies have tried to examine the development of ITSM based on their respective interests. However, the development of ITSM in Indonesia has not been widely studied, such as the types of research that are most often investigated, what domains are often researched, the areas and types of companies being studied. The things above are the main objectives of this research. The method used in capturing data, screening, and analysis is the systematic literature review method. There are many findings obtained from this research. One of them is the domination of the service operation research area (45%) among other areas. Meanwhile, applied research had been researched quite consistently over the last five years. From these results,  it can be noticed that a deeper understanding of the synchronization between business and IT is needed. This is in accordance with the objectives of ITSM implementation so that future research is expected to provide balance in other areas, such as service strategy, design, transition, operation, and continuous service improvement.","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":"130384469","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}

{"title":"Mi-Botway: a Deep Learning-based Intelligent University Enquiries Chatbot","authors":"Yurio Windiatmoko, A. Hidayatullah, Dhomas Hatta Fudholi, R. Rahmadi","doi":"10.29099/ijair.v6i1.247","DOIUrl":"https://doi.org/10.29099/ijair.v6i1.247","url":null,"abstract":"Intelligent systems for universities that are powered by artificial intelligence have been developed on a large scale to help people with various tasks. The chatbot concept is nothing new in today's society, which is developing with the latest technology. Students or prospective students often need actual information, such as asking customer service about the university, especially during the current pandemic, when it is difficult to hold a personal meeting in person. Chatbots utilized functionally as lecture schedule information, student grades information, also with some additional features for Muslim prayer schedules and weather forecast information. This conversation bot was developed with a deep learning model adopted by an artificial intelligence model that replicates human intelligence with a specific training scheme. The deep learning implemented is based on RNN which has a special memory storage scheme for deep learning models, in particular in this conversation bot using GRU which is integrated into RASA chatbot framework. GRU is also known as Gated Recurrent Unit, which effectively stores a portion of the memory that is needed, but removes the part that is not necessary. This chatbot is represented by a web application platform created by React JavaScript, and has 0.99 Average Precision Score.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116746831","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}

{"title":"Hutanomics: Digital Economy Innovation for Strengthening Forestry Economic Resource Management","authors":"B. Budiman","doi":"10.29099/ijair.v6i1.335","DOIUrl":"https://doi.org/10.29099/ijair.v6i1.335","url":null,"abstract":"This research trying to explains the management of the nation's economic development based on preserving the environment, which is the forest. This is because economic development has always been identified with environmental damage, including deforestation. As one of the countries with the largest tropical rainforest globally, Indonesia is automatically one of the focuses on its economic development is utilizing existing forestry resources. This causes a massive deforestation process, so the international community pressures Indonesia by accusing Indonesia of being one of the world's countries that cause climate change. Therefore, currently, the Government of Indonesia has established a Green Economy Development Program to overcome the problem of climate change caused by economic activities. The idea of Green Economic Development is essential to discuss because of the nation's priority for strong economic growth and sustainable development. One form of green economic development is to introduce the hutanomics concept, a concept of economic development management that is harmonized and based on the interests of forests and nature, which the author has adopted as the theme of this research. With a qualitative approach, the descriptive method, the researcher explains the management of the nation's economic development based on preserving the environment, which is the forest. Research findings show that economic development does not always have to come at the expense of the environment like deforestation. One of the concepts introduced is Hutanomics (Forest Economic), a management concept of economic development by aligning economic interests with the interests of forests and nature. Environmental impact analysis is critical to Hutanomics because it involves the claims of nature and the necessity of a collaboration between the government, the corporate world, and the community, each with their own functions","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121397904","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}

{"title":"The Role of Entrepreneur Characteristics and Entrepreneur Motivation has a significant effect on SMEs' Business Performance During Digital Era","authors":"Heri Erlangga, Y. Purwanti, Tita Setiawati, Ida Hindarsah, Farid Riadi","doi":"10.29099/ijair.v6i1.333","DOIUrl":"https://doi.org/10.29099/ijair.v6i1.333","url":null,"abstract":"The purpose of this study was to analyze the relationship between Entrepreneur Characteristics and Business Performance variables, the relationship between entrepreneurial motivation variables and MSME business performance. In this study using quantitative methods. This is because the research data is in the form of numbers and analysis uses statistics, in collecting data using research instruments, data analysis is quantitative, with the aim of testing the established hypothesis, is experimental/survey, if the problem is clear. This type of research uses associative research. serves to explain, predict and control a symptom. This method is used to answer the formulation of the problem, namely knowing the effect of entrepreneurial characteristics and motivation on SMEs business performance. In this study, researchers used a questionnaire data collection technique (questionnaire). Questionnaire is a data collection technique which is done by giving a set of questions or written statements to respondents to answer. The statement questionnaire in this study was measured using a Likert 5 scale. The data analysis of this study used the smartPLS 4.0 software (Purwanto et al., 2020) and the data was obtained through the distribution of online questionnaires with social media to 300 respondents who were selected using a simple random sampling method. Based on the results of data processing and analysis that has been done, the conclusions of this study are: 1. Entrepreneurial Characteristics Affect Business Performance. In this case the characteristics of entrepreneurs are very good. Entrepreneurial characteristics can be seen from the spirit of work and hard work to realize desires. 2. Entrepreneur motivation influences business performance. In this case the motivation of entrepreneurs is very high. Entrepreneur motivation can be seen from being an entrepreneur because he has a desire to be rich. The business performance variable is also very high. This is evident from my business has the ability to compete.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126388145","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}

{"title":"Carter Dimension Analysis of Customer Satisfaction In Improving Electronic Word Of Mouth (E-Wom) In Bank Syariah Mandiri Customers.","authors":"Asmuni Asmuni, Isnaini Harahap, Lenny Menara Sari Saragih","doi":"10.29099/ijair.v6i1.293","DOIUrl":"https://doi.org/10.29099/ijair.v6i1.293","url":null,"abstract":"This study aims to analyze the effect of CARTER dimensions consisting of tangible, assurance, reliability, tangible, empathy and responsiveness on customer satisfaction at Bank Syariah Mandiri in Medan City. electronic word of mouth. Respondents in this study were customers of Bank Syariah Mandiri in Medan City who were Muslim and used Mobile Banking. A total of 300 questionnaires were distributed, there were 220 questionnaires that met the criteria. So that the data can be processed as many as 220 samples. The analysis technique uses Structural Equation Modeling with AMOS.The results show that the Compliance dimension has a positive and significant effect on customer satisfaction at Bank Syariah Mandiri in Medan City, the assurance dimension has a significant positive effect on customer satisfaction at Bank Syariah Mandiri in Medan City, the reliability dimension has a positive direction but does not significantly affect customer satisfaction at Bank Syariah Mandiri in Medan. Medan City, the tangible dimension is the largest dimension that has a positive and significant effect on customer satisfaction of Bank Syariah Mandiri in the City, the dimension of empathy has a positive and significant effect on customer satisfaction of Bank Syariah Mandiri in the City, the dimension of responsiveness has a positive and significant effect on customer satisfaction of Bank Syariah Mandiri in Medan city. The variable of customer satisfaction has a positive and significant effect on electronic word of mouth on Bank Syariah Mandiri customers in Medan City. The Sobel test conducted shows that customer satisfaction has a significant effect as a mediator between the tangible, assurance, tangible, empathy and responsiveness dimensions and Electronic Word of Mouth.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126443937","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}