IJCCS (Indonesian Journal of Computing and Cybernetics Systems)最新文献

Effect of Hyperparameter Tuning Using Random Search on Tree-Based Classification Algorithm for Software Defect Prediction 使用随机搜索调整超参数对基于树的软件缺陷预测分类算法的影响

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Pub Date : 2024-01-31 DOI: 10.22146/ijccs.90437

Muhammad Hevny Rizky, M. Faisal, Irwan Budiman, D. Kartini, Friska Abadi

引用次数: 0

Rule-Based Natural Language Processing in Volcanic Ash Data Searching System 基于规则的自然语言处理在火山灰数据搜索系统中的应用

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Pub Date : 2024-01-31 DOI: 10.22146/ijccs.88081

Rangga Kusuma Priandana, Indra Indra

引用次数: 0

Webcam-Based Bus Passenger Detection System Using Single Shot Detector Method 使用单发探测器方法的基于网络摄像头的巴士乘客检测系统

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Pub Date : 2024-01-31 DOI: 10.22146/ijccs.87393

Sigit Wasista

引用次数: 0

Anomaly Detection of Hospital Claim Using Support Vector Regression 利用支持向量回归检测医院报销单的异常情况

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Pub Date : 2024-01-31 DOI: 10.22146/ijccs.91857

Luthfia Nurma Hapsari, Nur Rokhman

{"title":"Anomaly Detection of Hospital Claim Using Support Vector Regression","authors":"Luthfia Nurma Hapsari, Nur Rokhman","doi":"10.22146/ijccs.91857","DOIUrl":"https://doi.org/10.22146/ijccs.91857","url":null,"abstract":"BPJS Kesehatan plays a crucial role in providing affordable access to healthcare services and reducing individual financial burdens. However, deficit issues can disrupt the sustainability of the program, making anomaly detection highly important to conduct. Previous research on unsupervised anomaly detection in BPJS Kesehatan revealed a limitation with Simple Linear Regression (SLR), which only accommodates linear relationships among independent variables and the target variable of BPJS Kesehatan claim values. Minister of Health Regulation No. 52 of 2016 identified eight influential non-linear independent variables, leading to the proposal of Support Vector Regression (SVR) to address SLR's shortcomings.Research findings demonstrate SVR's superior anomaly detection performance over SLR. Interestingly, the SVR model excels in anomaly detection but lacks in prediction. Optimal tuning of SVR hyperparameters (C=9, epsilon=90, gamma=0.009, residual anomaly definition > 0.5*RMSE for both datasets) yields impressive metrics: Accuracy=0.97, Precision=0.84, Recall=0.97, and F1-Score=0.90. The anomaly detection results are expected to greatly support the sustainability of the BPJS Kesehatan program in Indonesia.","PeriodicalId":518542,"journal":{"name":"IJCCS (Indonesian Journal of Computing and Cybernetics Systems)","volume":"22 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529116","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 Adoption of Blockchain Technology the Business Using Structural Equation Modelling 利用结构方程模型分析企业对区块链技术的采用情况

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Pub Date : 2024-01-31 DOI: 10.22146/ijccs.82107

Q. Aini, Danny Manongga, Eko Sediyono, Sri Yulianto Joko Prasetyo, U. Rahardja, N. Santoso

{"title":"The Adoption of Blockchain Technology the Business Using Structural Equation Modelling","authors":"Q. Aini, Danny Manongga, Eko Sediyono, Sri Yulianto Joko Prasetyo, U. Rahardja, N. Santoso","doi":"10.22146/ijccs.82107","DOIUrl":"https://doi.org/10.22146/ijccs.82107","url":null,"abstract":"There are many aspects of readiness that must be considered when implementing technological breakthroughs, the business sector is still relatively slow in adopting blockchain technology. However, considering that blockchain technology is still in its early stages of development and has many potential applications, it is necessary to conduct empirical studies on the factors influencing its application in the industry. The problem of this study is to develop an appropriate framework based on how well its features match the needs of the business sector. This research method uses data collection using online questionnaires to obtain information from 86 respondents. The current study also utilizes the Smart PLS 4 model to produce a structural hypothetical model. The results of this study find a significant influence on Revolutionary Innovation by enriching the literature on the relationship between Blockchain, Big Data and the Business Sector, which is expanded by adding new variables. The novelty of this research identifies potential utilization, analyzes internal and external factors, and identifies how blockchain disrupts the business sector. The purpose of this study is to assess how blockchain technology is currently used in the business sector for data provision as a theoretical information technology innovation","PeriodicalId":518542,"journal":{"name":"IJCCS (Indonesian Journal of Computing and Cybernetics Systems)","volume":"56 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529443","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