Journal of Advances in Information Systems and Technology最新文献

Digital Transformation Analysis in the Manufacturing Module in Aluminium Companies using the TAM Method 基于TAM方法的铝企业制造模块数字化转型分析

Journal of Advances in Information Systems and Technology Pub Date : 2023-05-04 DOI: 10.15294/jaist.v5i1.66567

Arif Saifunnasrullah, K. Budiman

{"title":"Digital Transformation Analysis in the Manufacturing Module in Aluminium Companies using the TAM Method","authors":"Arif Saifunnasrullah, K. Budiman","doi":"10.15294/jaist.v5i1.66567","DOIUrl":"https://doi.org/10.15294/jaist.v5i1.66567","url":null,"abstract":"This research was conducted to identify the factors affecting the success of digital transformation through the use of the manufacturing module in aluminum companies. The Technology Acceptance Model (TAM) method was used to measure technology acceptance through the use of the manufacturing module with variables of perceived usefulness (PU), perceived ease of use (PEOU), and perceived risk (PR) that affect the behavioral intention of use (BIU) at PT. Allure Allumunio and the success of digital transformation were measured through descriptive analysis. The sample was taken using the entire population with a total of 50 manufacturing module users. The collected data was analyzed using Partial Least Square – Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0.8 software. A total of 48 respondents with valid data were obtained and validity and reliability tests were performed, resulting in valid and reliable instruments. The R-square, Q-square, and t-test were used to analyze the proposed hypothesis. The results showed that three hypotheses were accepted: PU > BIU, PEOU > BIU, and PEOU > PU, and one hypothesis was rejected: PR > BIU because risk did not have a significant impact on the behavior intention of technology acceptance. Additionally, the analysis of digital transformation success was conducted with results showing an increase in company productivity and a decrease in risk, marked by an increase in units received on time after digital transformation and a 78% level of adaptation satisfaction. The conclusion is that technology acceptance was achieved through perceived usefulness and perceived ease of use, as well as increased productivity, level of adaptation satisfaction, and decreased risk, which are factors contributing to the success of the digital transformation.","PeriodicalId":418742,"journal":{"name":"Journal of Advances in Information Systems and Technology","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123489760","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

A Analysis of Information System Audit Using Control Objectives for Information and Related Technology 5 Framework on Permata Hebat Application 基于信息及相关技术框架控制目标的信息系统审计在Permata Hebat中的应用分析

Journal of Advances in Information Systems and Technology Pub Date : 2023-05-04 DOI: 10.15294/jaist.v5i1.64187

Muhammad Subekhi Muryantoro, Devi Ajeng Efrilianda

{"title":"A Analysis of Information System Audit Using Control Objectives for Information and Related Technology 5 Framework on Permata Hebat Application","authors":"Muhammad Subekhi Muryantoro, Devi Ajeng Efrilianda","doi":"10.15294/jaist.v5i1.64187","DOIUrl":"https://doi.org/10.15294/jaist.v5i1.64187","url":null,"abstract":"Permata Hebat application is an application created as a service to develop micro businesses among housewifes in Semarang City. However, to fulfill this expectation, of course, the application needs good IT management or governance, so that the application can be optimally utilized by its users. However, since its operation on March 23, 2021, it is not yet known how the quality or level of management capability or IT governance services run by the organization. Information system audit itself is an activity to evaluate and ensure that the system has met the standards. Meanwhile, one of the frameworks that can be used to conduct an audit is COBIT 5. COBIT 5 is a good practice whose processes have been adapted to current standards. As for the process control used is the Deliver, Services, and Support (DSS) domain. The results of the calculation show that for domains DSS01, DSS03, and DSS06 each received a maturity level value of 0.60, 0.52, and 0.61 or at level 1 performed. Meanwhile, domains DSS02, DSS04, and DSS05 each received maturity level values of 0.45, 0.35, and 0.42 or are still at level 0 incomplete. Therefore, there is still a need for a lot of improvement or improvement in each process. The goal is that the system can run in accordance with organizational expectations.","PeriodicalId":418742,"journal":{"name":"Journal of Advances in Information Systems and Technology","volume":"83 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126073282","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

Sentiment Analysis of student on Online Lectured During Covid-19 Pandemic Using K-Means and Naïve Bayes Classifier 基于K-Means和Naïve贝叶斯分类器的新冠肺炎大流行期间学生在线听课情绪分析

Journal of Advances in Information Systems and Technology Pub Date : 2023-04-07 DOI: 10.15294/jaist.v5i1.64903

Yusuf Affandi, E. Sugiharti

{"title":"Sentiment Analysis of student on Online Lectured During Covid-19 Pandemic Using K-Means and Naïve Bayes Classifier","authors":"Yusuf Affandi, E. Sugiharti","doi":"10.15294/jaist.v5i1.64903","DOIUrl":"https://doi.org/10.15294/jaist.v5i1.64903","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000The Covid-19 pandemic that occurred at the end of 2019 caused life changes, one of which was the learning process in universities. in accordance with the instructions issued by the Minister of Education as an effort to prevent the spread of Covid-19 by conducting online learning. Learning that is carried out online with a long period of time there are many obstacles such as networks and learning processes that are not optimal. Thus, students have mixed opinions on online lectures. Twiter is one of the social media used by students in expressing opinions on online lectures. The sentiment that users write on Twitter has not been determined in a more positive or negative direction. Sentiment analysis is needed to determine the tendency of student opinions towards online lectures. In this study, a sentiment analysis of online lectures was carried out using the K-Means and Naïve Bayes Classifier methods. The K-Means method is used to perform labeling or clustering and the Naïve Bayes Classifier is used as the classification. Based on research conducted with testing the Naïve Bayes Classifier model with a 70% division of training data and 30% test data using matrix confussion resulted in an accuracy of 95.67%. \u0000 \u0000 \u0000 \u0000","PeriodicalId":418742,"journal":{"name":"Journal of Advances in Information Systems and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130611543","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

The Influence of Recommendation System Quality on E-commerce Customer Loyalty with Cognition Affective Behavior Theory 基于认知情感行为理论的推荐系统质量对电子商务顾客忠诚的影响

Journal of Advances in Information Systems and Technology Pub Date : 2023-04-04 DOI: 10.15294/jaist.v5i1.65910

Alya Aulia Nurdin, Z. Abidin

{"title":"The Influence of Recommendation System Quality on E-commerce Customer Loyalty with Cognition Affective Behavior Theory","authors":"Alya Aulia Nurdin, Z. Abidin","doi":"10.15294/jaist.v5i1.65910","DOIUrl":"https://doi.org/10.15294/jaist.v5i1.65910","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000The high number of internet users and the growth of e-commerce make it important for companies or businesses that provide e-commerce services to know the quality of their services to increase customer trust and loyalty. In addition, with the proliferation of e-commerce, there is more information related to available products, sometimes it also causes problems that users feel confused and frustrated to sort out information and make purchase decisions. In some e-commerce, there is already a recommendation system that makes it easier for users to make their choice. This study aims to find out what factors affect customer loyalty to Shopee e-commerce as well as test how much influence the quality of Shopee's e-commerce recommendation system have on customer loyalty with user trust as mediation variables. This research uses a quantitative approach using cognition affective behavior theory. Data collection in this study was carried out by distributing questionnaires through Google forms with purposive sampling techniques. A total of 356 respondents have participated in the study. The obtained data were analyzed with partial least squares – structural equation model (PLS-SEM). From the results of the analysis, seven hypotheses exist. All independent variables affect dependent variables. It was found that recommendation quality (RQ) can affect directly on the LO or indirectly through the trust mediation variable (TR). \u0000 \u0000 \u0000 \u0000","PeriodicalId":418742,"journal":{"name":"Journal of Advances in Information Systems and Technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130740975","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

Heart Disease Diagnosis Using Tsukamoto Fuzzy Method 用冢本模糊方法诊断心脏病

Journal of Advances in Information Systems and Technology Pub Date : 2023-04-04 DOI: 10.15294/jaist.v5i1.67565

M. Faris, Al Hakim, Nafa Fajriati, Rizka Nur Pratama

引用次数: 0

Factors Influencing Community Behavior towards SIKER: An Extension of the TAM model 影响社区对SIKER行为的因素:TAM模型的扩展

Journal of Advances in Information Systems and Technology Pub Date : 2023-04-04 DOI: 10.15294/jaist.v5i1.64274

Muhammad Majid, Z. Abidin

{"title":"Factors Influencing Community Behavior towards SIKER: An Extension of the TAM model","authors":"Muhammad Majid, Z. Abidin","doi":"10.15294/jaist.v5i1.64274","DOIUrl":"https://doi.org/10.15294/jaist.v5i1.64274","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000Sistem Kerja (SIKER) is a system that allows the public to make yellow cards/AK1, join job training, look for job vacancies and invite for interviews. In its application, not many public of Semarang city have adopted SIKER even though the city of Semarang is ranked 2nd in the excellent category in Central Java province in the e-government rankings. This study will observe the effect of perceived usefulness, perceived ease of use, facilitating conditions, and social influence on the behavioral intention of the public of Semarang city in utilizing SIKER, and the variables age and perceived trust will be used as intervening variables. This study uses a quantitative descriptive method with a data analysis approach using Partial Least Square Structural Equation Modeling (PLS-SEM) by utilizing SmartPLS version 3.2.9 tools. A number of 330 valid respondents participated in this current study. The results of this study show that the factors that influence the behavioral intention of the public of Semarang are perceived trust, perceived usefulness, facilitating conditions, and age with a negative direction. Perceived trust is proven to be the biggest factor influencing the behavioral intention to use SIKER services. Whereas the intervening effect of perceived trust is proven to intervene with perceived ease of use and perceived usefulness towards behavioral intention with the intervening effects of full mediation and partial mediation. However, for age, it is proven not to intervene with no intervening effect and unmediated effect. \u0000 \u0000 \u0000 \u0000","PeriodicalId":418742,"journal":{"name":"Journal of Advances in Information Systems and Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126008229","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

Factor Analysis of Continuance Intention to Use QR Code Mobile Payment Services: An Extended Expectation-Confirmation Model (ECM) 使用二维码移动支付服务的持续意向因素分析——一个扩展的期望-确认模型

Journal of Advances in Information Systems and Technology Pub Date : 2023-03-10 DOI: 10.15294/jaist.v4i2.61468

Alda Bernika Ifada, Z. Abidin

{"title":"Factor Analysis of Continuance Intention to Use QR Code Mobile Payment Services: An Extended Expectation-Confirmation Model (ECM)","authors":"Alda Bernika Ifada, Z. Abidin","doi":"10.15294/jaist.v4i2.61468","DOIUrl":"https://doi.org/10.15294/jaist.v4i2.61468","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000QR code mobile payment is a payment method that is quite popular in Indonesia where users only need to open or display a QR code on the m-payment application when making transactions. Users can make payments easily, anywhere and anytime. Apart from the benefits of QR codes on m-payments, there are still obstacles regarding the intention to continue using them. Some users stopped using the QR code service on the m-payment application due to the potential risks involved. The purpose of this study is to find out what factors can affect continued intention to use QR code m-payment. The research model used is the Extended Expectation-Confirmation Model (ECM) by combining ECM and UTAUT and adding trust and perceived risk variables. The number of samples in this study was 313 participants who were users who had used QR code m-payment OVO, GoPay, or ShopeePay with a minimum age of 17 years. The sampling technique used is purposive sampling. This study uses quantitative methods and data analysis with the PLS-SEM approach using SmartPLS version 3. The results of this study are three rejected hypotheses and nine accepted hypotheses. Based on the accepted hypotheses, it shows that social influence, trust, and satisfaction affect continuance intention to use QR code m-payment. Social influence is the biggest factor affecting continuance intention to use QR code m-payment service. These results can be considered for developers and companies such as OVO, GoPay, and ShopeePay. \u0000 \u0000 \u0000 \u0000","PeriodicalId":418742,"journal":{"name":"Journal of Advances in Information Systems and Technology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115276307","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

Chaotic Whale Optimization Algorithm in Hyperparameter Selection in Convolutional Neural Network Algorithm 卷积神经网络超参数选择中的混沌鲸优化算法

Journal of Advances in Information Systems and Technology Pub Date : 2023-03-10 DOI: 10.15294/jaist.v4i2.60595

Akhmad Ridho, A. Alamsyah

引用次数: 0

Optimization of the C4.5 Algorithm Using Particle Swarm Optimization and Discretization in Predicting the Results of English Premier League Football Matches 基于粒子群优化和离散化的C4.5算法在英超比赛结果预测中的优化

Journal of Advances in Information Systems and Technology Pub Date : 2023-03-10 DOI: 10.15294/jaist.v4i2.59531

Muhammad Bahyul Anwar Fuadi, A. Alamsyah

{"title":"Optimization of the C4.5 Algorithm Using Particle Swarm Optimization and Discretization in Predicting the Results of English Premier League Football Matches","authors":"Muhammad Bahyul Anwar Fuadi, A. Alamsyah","doi":"10.15294/jaist.v4i2.59531","DOIUrl":"https://doi.org/10.15294/jaist.v4i2.59531","url":null,"abstract":"Football is one of the most popular sports. One of the most competitive football competitions is the English Premier League. This study aims to determine the prediction of the results of the football match in English Premier League. The prediction results in the form of home win, away win, and draw. This prediction uses data mining techniques, namely using the C4.5 algorithm as a classification algorithm with Particle Swarm Optimization as a feature selection method and Discretization as a preprocessing method. The dataset used was obtained from the football-data.co.uk website for four league seasons from the 2017/2018 season to the 2020/2021 season with a total of 1,520 instances. In this study, a comparison was made to the methods used to determine the increase in accuracy obtained. Based on ten times the data mining process, the final result of the best accuracy from using the C4.5 algorithm is 57.24%, then the C4.5 algorithm with Discretization gets an accuracy of 65.13%, and the C4.5 algorithm with Discretization and Particle Swarm Optimization gets accuracy of 71.05%. The conclusion is that the use of Discretization and Particle Swarm Optimization can improve the performance of the C4.5 algorithm in predicting the results of English Premier League matches with an increase in accuracy of 13.81%.","PeriodicalId":418742,"journal":{"name":"Journal of Advances in Information Systems and Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130833019","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

Implementation of Naïve Bayes Method with Certainty Factor for Disease and Pest Diagnosis on Onion Plants Naïve确定因子贝叶斯方法在洋葱病虫害诊断中的实现

Journal of Advances in Information Systems and Technology Pub Date : 2023-03-10 DOI: 10.15294/jaist.v4i2.61189

Yahya Alamudin, R. Arifudin

引用次数: 0