Penerapan Metode Extreme Programming pada Rancang Bangun Sistem Analisis Sentimen Portal Berita by I Gede Bagus Premana Putra, Made Sudarma, Ida Bagus Gede Manuaba

“…The existence of a sentiment analysis system can be used as an alternative solution for individuals and organizations to carry out sentiment analysis, so that it can assist in the decision-making a process and performance evaluation. …”
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Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air by Jiayu Yang, Huabing Ke, Sunling Gong, Yaqiang Wang, Lei Zhang, Chunhong Zhou, Jingyue Mo, Yan You

“…Abstract An automated air quality forecasting system (AI‐Air) was developed to optimize and improve air quality forecasting for different typical cities, combined with the China Meteorological Administration Unified Atmospheric Chemistry Environmental Model (CUACE), and used in a typical inland city of Zhengzhou and a coastal city of Haikou in China. The performance evaluation results show that for the PM2.5 forecasts, the correlation coefficient (R) is increased by 0.07–0.13, and the mean error (ME) and root mean square error (RMSE) is decreased by 3.2–3.5 and 3.8–4.7 μg/m³. …”
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Evaluating the Impact of Data Transformation Techniques on the Performance and Interpretability of Software Defect Prediction Models by Yu Zhao, Zhiqiu Huang, Lina Gong, Yi Zhu, Qiao Yu, Yuxiang Gao

“…Through empirical research on (i) six classification techniques (random forest, decision tree, logistic regression, Naive Bayes, K-nearest neighbors, and multilayer perceptron), (ii) six performance evaluation indicators (Accuracy, Precision, Recall, F1, MCC, and AUC), (iii) two interpretable methods (permutation and SHAP), (iv) two feature importance measures (Top-k feature rank overlap and difference), and (v) three datasets (Promise, Relink, and AEEEM), our results show that the data transformation methods can significantly improve the performance of the SDP models and greatly affect the variation of the most important features. …”
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Implementasi Latent Dirichlet Allocation (LDA) untuk Klasterisasi Cerita Berbahasa Bali by Ngurah Agus Sanjaya ER

“…The research stages include story digitization, tokenization, case-folding, stemming, topic search with LDA, document representation and agglomerative hierarchical clustering. Performance evaluation was carried out using 100 Balinese folklores data obtained from online sites and the Bali Provincial Cultural Office to calculate the accuracy of the clustering results. …”
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Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders by Muhammad Waleed Iqbal, Muhammad Shahab, Zakir ullah, Guojun Zheng, Irfan Anjum, Gamal A. Shazly, Atrsaw Asrat Mengistie, Xinxiao Sun, Qipeng Yuan

“…Different machine learning models including random forest (RF), k-nearest neighbors (K-NN), decision tree, and support vector machine (SVM), were trained using already available bioactivity data of Src kinase targeting compounds. The performance evaluation of these models demonstrated SVM as the best model, which was further utilized to shortlist 51 highly potent compounds by screening an FDA-approved library of 1040 drugs. …”
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Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…The ridge regression technique (L2-regularization) is applied to prevent overfitting during the validation stage of the linear regression model. The model performance evaluation is based on confusion matrices and ROC graphs. …”
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An ecosystem approach to the evaluation and impact analysis of heterogeneous preventive and/or early interventions projects for veterans and first responders in seven countries by S. Lukersmith, L. Salvador-Carulla, C. Woods, T. Niyonsenga, M.R. Gutierrez-Colosia, I. Mohanty, C.R. Garcia-Alonso, D. Diaz-Milanes, J.A. Salinas-Perez, R. Davey, A. Aryani

“…Analysis tools include Global Impact Analytics Framework, multi-layered statistical analysis, performance evaluation using an efficient decision support approach, Project and Grant program social return on investment, visual linking and data connection platform and assessment of gendered lens approaches. …”
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The Perioperative NonaGEnaRIan And cenTenarian suRgICal (GERIATRIC) Risk Stratification Tool by Laurence Weinberg, PhD, Dong Kyu Lee, PhD, Luke Fletcher, MD, Bobby Ou Yang, MD, Jadon Karp, MD, Anoop N Koshy, PhD, Ranjan Guha, FANZCA, Hugh Slifirski, MD, Michael R D’Silva, MD, Rinaldo Bellomo, PhD, Leonid Churilov, PhD

“…Multivariable logistic regression analysis was performed on a training cohort, followed by calibration on a validation cohort, followed by performance evaluation on a testing cohort. The discriminative accuracy was compared to that of the age-adjusted Charlson Comorbidity Index for each outcome. …”
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Sistem Pakar Penentuan Penggunaan Bahan Tambahan Pangan untuk Produk Pangan by Melva Linda Aritonang, Kudang Boro Seminar, Nugraha Edhi Suyatma, Irman Hermadi

“…Feature selection with information gain results that mixing is a processing method that is quite influential on the decision tree model with maximum information gain value. The performance evaluation of the decision tree model uses k-fold cross validation with k ten and has the highest accuracy in the tenth iteration of 72.7%. …”
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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with brea... by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

“…To build a nomogram model that integrates the radiomics signature and conventional imaging, a logistic regression method was employed. The performance evaluation of the nomogram involved the area under the receiver operating characteristic curve (AUC), a decision curve analysis, and the calibration slope.ResultsIn an assessment for predicting pCR, the radiomics model displayed an AUC of 0.778 and 0.703 for the training and testing cohorts, respectively. …”
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Audit Sistem Informasi pada Sistem Manajemen Layanan Satu Atap (SIMANTAP) Menggunakan Kerangka COBIT 5.0 (Studi Kasus: Bank Indonesia Provinsi Bengkulu) by Arie Vatresia, Pieters N.P Tambunan, Aan Erlanshari

“…Meanwhile, in order for the SIMANTAP information system to achieve the desired level of capability at level 5 (Optimizing Process), the recommendations that need to be made are to make key performance indicators in all SIMANTAP performance assessments, create a SIMANTAP guide book, and document the level of implementation and performance evaluation. SIMANTAP. …”
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Formulating a Blue Ocean Strategy in the Banking Services Industry: Enhancing Customer Satisfaction through Improved Demand Fulfillment and Presenting an Optimal Pattern by Manuchehr Ghanbari, Ali Sabzali Yameqani, Yousef Rabbani, Kobra Sabzali Yamaqani

“…These actions were divided into human resources, organizational communication, performance evaluation, public relations, advertisement, organizational processes and structures, and placement and architecture. …”
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Toward Understanding of Quiet Human Resource Management Theory in Iranian Organizations: Theoretical Origins, Conceptual Narration and its Consequences by Abbas Nargesian, Sajjad Sadpoor

“…The selective coding stage involved the introduction and elaboration of the theory derived from the data, providing a comprehensive understanding of quiet HRM practices.ConclusionQuiet HRM encompasses various dimensions, including quiet firing, quitting, hiring, promotion, and performance evaluation. These practices often stem from individual factors such as superior employee skills and performance, job-related factors like stress and burnout, and organizational factors including cost-saving measures and workforce restructuring. …”
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Designing an educational model based on identity development with an Iranian-Islamic approach for primary school students. by Ali Oladhamzehzadeh, masoumeh oladiyan, Mahmoud Safari

“…The statistical population in the qualitative section includes 20 experts from the academic community and students' performance evaluation specialists, and in the quantitative section, it includes principals, assistants, teachers and staff of elementary schools in District five of Tehran. …”
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Providing an entrepreneurial marketing model based on teamwork with an emphasis on start-up companies by Parastoo Bafghi, Mahmoud Ahmadi Sharif, Sina Nematizadeh

“…The results showed that 5 comprehensive themes and 13 organized themes and 87 basic codes were identified and extracted from the theme analysis method, and then using interpretative structural modeling, the identified indicators were leveled; and the results showed that the fourth level includes marketing strategy (C04) is the most effective one that acts as the cornerstone of the model and directly affects the third level criteria (content and marketing tools (C03), and marketing performance evaluation (C02)). The first level includes the development of teamwork (C04) as the most effective level. …”
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Identifying and analyzing drivers of innovative behavior based on strategic management of human resources in knowledge-based organizations by Mitra Sadoughi

“…Also, the findings of data analysis in the quantitative section showed that the extracted pattern has good fit; and behavioral capabilities, performance evaluation, thoughtfulness, job satisfaction, self-efficacy, justice-orientation, participation, competitiveness, professional ethics, Inter-sectoral relationship, collaborative management, and pragmatism, have respectively had the highest importance in developing innovative behaviors in knowledge-based organizations and university development centers. …”
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Computational analysis of heat transfer and fluid flow characteristics in a diamond microchannel heat sink with orthogonal ribs by Liang Du, Wenbo Hu, Ningkang Deng, Zhaoyang Zhang, Hongxing Wang

“…When the rib width is 0.4, the performance evaluation coefficient reaches 1.92. Therefore, the unique rib arrangement design of the orthogonal rib microchannel heat sink not only optimizes fluid flow and enhances heat transfer capacity but also effectively addresses the heat dissipation challenges of electronic devices. …”
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Fourier Descriptor Pada Klasifikasi Daun Herbal Menggunakan Support Vector Machine Dan Naive Bayes by Mutmainnah Samir, Purnawansyah, Herdianti Darwis, Fitriyani Umar

“…SVM is implemented with four kernels namely linear, polynomial, Radial Basis Function (RBF), and Sigmoid while Naive bayes is applied with three types of kernels namely Gaussian, multinomial, Bernoulli. Performance evaluation includes precision, accuracy, F1- score and recall. …”
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Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter by Teuku Radillah, Okta Veza, Sarjon Defit

“…Both models, BERT and XLNet, were trained and tested using the same dataset. Performance evaluation was conducted using accuracy, precision, recall, and F1-score metrics. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

“…For developing a predictive model for HF risk in AMI patients, the least absolute shrinkage and selection operator (LASSO) Regression was used to feature selection, and four ML algorithms including Random Forest (RF), Extreme Gradient Boost (XGBoost), Support Vector Machine (SVM), and Logistic Regression (LR) were employed to develop the model on the training set. The performance evaluation of the prediction model was carried out on the training set and the testing set, utilizing metrics including AUC (Area under the receiver operating characteristic curve), calibration plot, and decision curve analysis (DCA). …”
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