Journal of Information Systems and Informatics最新文献_第5页

Leveraging COBIT 2019 Framework to Implement IT Governance in Business Process Outsourcing Company 利用COBIT 2019框架实现业务流程外包公司的IT治理

Journal of Information Systems and Informatics Pub Date : 2023-05-19 DOI: 10.51519/journalisi.v5i2.492

Melissa Indah Fianty, Maximillian Brian

引用次数: 3

An IoT-Based Model for Monitoring Plant Growth in Greenhouses 基于物联网的温室植物生长监测模型

Journal of Information Systems and Informatics Pub Date : 2023-05-16 DOI: 10.51519/journalisi.v5i2.489

A. Q. Mohabuth, Devashish Nem

{"title":"An IoT-Based Model for Monitoring Plant Growth in Greenhouses","authors":"A. Q. Mohabuth, Devashish Nem","doi":"10.51519/journalisi.v5i2.489","DOIUrl":"https://doi.org/10.51519/journalisi.v5i2.489","url":null,"abstract":"The unstable climatic conditions are promoting the adoption of smart agriculture. The introduction of IoT technology in the cultivation process allows for the monitoring and control of plant growth through automation. While the traditional greenhouse system is already an upgrade to the traditional cultivation system, it still has room for improvement with the integration of technology. The traditional greenhouse system requires close monitoring of growth rates through manual intervention and can be prone to various hazards. Incorrect interpretations of plant requirements can result in wrong interventions that may severely affect plant growth. It is imperative to have accurate data to maintain the health of plants throughout the cultivation process. IoT plays a predominant role in providing accurate data for constant monitoring of plant growth. The aim of this paper is to present a fully functional greenhouse automation model using microcontrollers, sensors, fans, pumps, and appropriate networking routing technology capable of providing instant data for proper monitoring of plant growth. The presented model includes safety features and can issue alerts in case security measures are breached. The system may even allow users to perform remote monitoring using a web application. Therefore, the proposed model will contribute to enhancing the horticultural industry by increasing output and reducing the need for human intervention.","PeriodicalId":33075,"journal":{"name":"Journal of Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43257642","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

Classification of Explicit Songs Based on Lyrics Using Random Forest Algorithm 用随机森林算法对基于歌词的显性歌曲进行分类

Journal of Information Systems and Informatics Pub Date : 2023-05-16 DOI: 10.51519/journalisi.v5i2.491

Luh Kade Devi Dwiyani, I. M. A. D. Suarjaya, Ni Kadek Dwi Rusjayanthi

{"title":"Classification of Explicit Songs Based on Lyrics Using Random Forest Algorithm","authors":"Luh Kade Devi Dwiyani, I. M. A. D. Suarjaya, Ni Kadek Dwi Rusjayanthi","doi":"10.51519/journalisi.v5i2.491","DOIUrl":"https://doi.org/10.51519/journalisi.v5i2.491","url":null,"abstract":"This study focuses on the potential negative impact of explicit songs on children and adolescents. Although an explicit song labeling program is currently in place, its coverage is limited to songs released by artists affiliated with the Recording Industry Association of America (RIAA). Consequently, songs falling outside the program's scope remain inadequately labeled. To address this issue, a machine learning model was developed to effectively classify explicit songs and mitigate mislabeling challenges. A comprehensive dataset of song lyrics was collected using web scraping techniques for the purpose of constructing the classification model. The model was trained using the TF-IDF vectorization method and the random forest algorithm. A meticulous comparison of distribution parameters was conducted between the training and testing data sets to determine the optimal model. This superior model achieved a training-testing data distribution ratio of 90:10, with an impressive accuracy of 96.3%, precision of 99.3%, recall of 93.5%, and an f1-score of 96.3%. The classification results revealed that explicit songs accounted for 39.22% of the dataset, and the visual representation highlighted the fluctuating prevalence of explicit songs over time. Additionally, the hip-hop/rap genre exhibited the highest proportion of explicit songs, reaching a staggering 92%.","PeriodicalId":33075,"journal":{"name":"Journal of Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42221325","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

Supplier Evaluation at Small-Medium Enterprise Using Simple Additive Weighting 中小企业供应商评价的简单加法加权法

Journal of Information Systems and Informatics Pub Date : 2023-05-13 DOI: 10.51519/journalisi.v5i2.479

R. Oetama, F. Armando

引用次数: 1

Strategic Planning for Student Guidance Information System Design in Tourism Department using Ward and Peppard Framework 基于Ward和Peppard框架的旅游系学生指导信息系统设计策略规划

Journal of Information Systems and Informatics Pub Date : 2023-05-13 DOI: 10.51519/journalisi.v5i2.486

Y. Singgalen

引用次数: 0

Machine Learning Approach for Credit Score Predictions 信用评分预测的机器学习方法

Journal of Information Systems and Informatics Pub Date : 2023-05-13 DOI: 10.51519/journalisi.v5i2.487

Tsholofelo Mokheleli, Tinofirei Museba

{"title":"Machine Learning Approach for Credit Score Predictions","authors":"Tsholofelo Mokheleli, Tinofirei Museba","doi":"10.51519/journalisi.v5i2.487","DOIUrl":"https://doi.org/10.51519/journalisi.v5i2.487","url":null,"abstract":"This paper addresses the problem of managing the significant rise in requests for credit products that banking and financial institutions face. The aim is to propose an adaptive, dynamic heterogeneous ensemble credit model that integrates the XGBoost and Support Vector Machine models to improve the accuracy and reliability of risk assessment credit scoring models. The method employs machine learning techniques to recognise patterns and trends from past data to anticipate future occurrences. The proposed approach is compared with existing credit score models to validate its efficacy using five popular evaluation metrics, Accuracy, ROC AUC, Precision, Recall and F1_Score. The paper highlights credit scoring models’ challenges, such as class imbalance, verification latency and concept drift. The results show that the proposed approach outperforms the existing models regarding the evaluation metrics, achieving a balance between predictive accuracy and computational cost. The conclusion emphasises the significance of the proposed approach for the banking and financial sector in developing robust and reliable credit scoring models to evaluate the creditworthiness of their clients.","PeriodicalId":33075,"journal":{"name":"Journal of Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44993430","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

Case Study Analysis of the Use of Cloud Computing for Assessing Big Data Risks 使用云计算评估大数据风险的案例分析

Journal of Information Systems and Informatics Pub Date : 2023-05-13 DOI: 10.51519/journalisi.v5i2.478

Fadi Fataftah, Bassey Isong

引用次数: 1

Sentiment Analysis of Raja Ampat Tourism Destination Using CRISP-DM: SVM, NBC, DT, and k-NN Algorithm 基于CRISP-DM:SVM、NBC、DT和k-NN算法的拉贾安帕特旅游目的地情绪分析

Journal of Information Systems and Informatics Pub Date : 2023-05-13 DOI: 10.51519/journalisi.v5i2.490

Astuti Kusumawicitra Laturiuw, Y. Singgalen

{"title":"Sentiment Analysis of Raja Ampat Tourism Destination Using CRISP-DM: SVM, NBC, DT, and k-NN Algorithm","authors":"Astuti Kusumawicitra Laturiuw, Y. Singgalen","doi":"10.51519/journalisi.v5i2.490","DOIUrl":"https://doi.org/10.51519/journalisi.v5i2.490","url":null,"abstract":"This study presents a sentiment analysis of tourists' opinions on Raja Ampat Tourism Destination using data mining techniques. The study collected data from Tripadvisor and processed it through sentiment classification. The algorithms used in the analysis were Support Vector Machine, Naive Bayes Classifier, Decision Tree, and k-Nearest Neighbor. The study followed the Cross-Industry Standard for Data Mining methodology and went through several stages such as business and data comprehension, data preparation and cleaning, feature selection, modeling, model evaluation, result presentation, deployment, and maintenance. The study's findings revealed that visitors generally had positive opinions about Raja Ampat's tourism attractions, particularly cultural diversity, and undersea beauty. The Decision Tree algorithm showed the highest accuracy value of 99.12%, precision of 98.96%, recall of 99.34%, AUC of 0.991, and f-measure of 99.13%. SVM also had excellent performance with an accuracy value of 100%, precision of 100%, recall of 100%, AUC of 1.000, and f-measure of 100%. The study concludes that Decision Tree and SVM, with the assistance of SMOTE operators, are the best algorithms for sentiment analysis in this context.","PeriodicalId":33075,"journal":{"name":"Journal of Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45378646","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

Digital Innovation Design of Tourism Destination Marketing Website Using Design Thinking Method 基于设计思维方法的旅游目的地营销网站数字化创新设计

Journal of Information Systems and Informatics Pub Date : 2023-05-12 DOI: 10.51519/journalisi.v5i2.464

Stephen Aprius Sutresno, Y. Singgalen

{"title":"Digital Innovation Design of Tourism Destination Marketing Website Using Design Thinking Method","authors":"Stephen Aprius Sutresno, Y. Singgalen","doi":"10.51519/journalisi.v5i2.464","DOIUrl":"https://doi.org/10.51519/journalisi.v5i2.464","url":null,"abstract":"This study aims to design a marketing website for special interest tourism destinations in North Halmahera Regency. The method used is design thinking. The design thinking method has five stages: empathize, define, ideate, prototype, and test. At the empathize stage, the needs of system users are classified based on the characteristics of the user as a host or guest. In the define stage, the problem statement technique is used to define the problems and needs of users into four parts: lack of awareness and exposure, limited digital infrastructure, the limited availability of tourism-related infrastructure, and the lack of tourism-related data. At the ideation stage, the main problem identified related to the marketing of special interest tourist destinations is the lack of tourism-related data, so the idea to solve the problem is through the design of a website that accommodates all information about destinations and events, hotel accommodation services, resorts and cottages, vehicle rental services, and travel experiences to North Halmahera which are shared in the form of articles to short videos. At the prototype stage, the database and interface design are designed according to the analysis results at the empathize, define, and ideate stages. Furthermore, at the testing stage, aspirations about prototypes are carried out through posters and short videos to gain insight into the subsequent development. Thus, marketing special interest tourist destinations becomes more effective and efficient using a website-based digital platform.","PeriodicalId":33075,"journal":{"name":"Journal of Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45800357","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

Investment Decision on Cryptocurrency: Comparing Prediction Performance Using ARIMA and LSTM 加密货币投资决策：ARIMA和LSTM预测性能比较

Journal of Information Systems and Informatics Pub Date : 2023-05-12 DOI: 10.51519/journalisi.v5i2.473

Svend Pasak, R. Jayadi

引用次数: 1