Analisis Pengalaman Pengguna Game Visual Novel Asal Usul Kota Surabaya Menggunakan Metode Usability Testing by Ashafidz Fauzan Dianta, Artiarini Kusuma Nurindiyani, Zakha Maisat Eka Darmawan

“…The usability aspects tested are Learnability, Memorability, Efficiency, Error, and Satisfaction. Of the 114 respondents involved in this study, the highest average score was obtained for the satisfaction aspect, which was 4.17, while the lowest average score was for the error aspect, which was 3.83, the games is easy to play and get satisfying results in every aspect of usability, the games is easy to play and achieves satisfactory results in each usability parameter.…”
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Low-Power Intelligent Wireless Sensor Network for Precision Agriculture Oriented Agricultural Greenhouse Management System by Hongguo Jin

“…The results showed that when the number of iterations reached 100, the clustering accuracy was as high as 94%, and the mean square error was the lowest 0.018, while when the number of iterations was 20, the mean square error was also maintained at 0.018. …”
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Bayesian Spatial and Trend Analysis on Ozone Extreme Data in South Korea: 1991–2015 by Cheru Atsmegiorgis Kitabo

“…Moreover, predictive performances of these statistical models are compared using measures like root-mean-squared error (RMSE), mean absolute error (MAE), relative bias (rBIAS), and relative mean separation (rMSEP) have been utilized. …”
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Difficulties concerning Diabetes Mellitus Type 1 in children and adolescents by Tatiana Rebouças Moreira, Samila Torquato Araújo Bandeira, Synara Cavalcante Lopes, Silvana Linhares de Carvalho, Francisca Diana da Silva Negreiros, Clarice da Silva Neves

“…Regarding the knowledge about the disease, the item with the highest percentage of errors was about the pathophysiology of Diabetes Mellitus type 1. …”
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The Application of Imperialist Competitive Algorithm in Determining the Optimal Parameters of Empirical Area Reduction Method to Predict the Sedimentation Process in Dez Dam by Arash Azari, Sadegh Soori Hossein Bonakdari, Hossein Bonakdari

“…So that the total calculation errors in estimating of reservoir volume at different levels in these methods was 0.25, 14.7 and 17 (percent) respectively. …”
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Water temperature prediction in a subtropical subalpine lake using soft computing techniques by Saeed Samadianfard, Honeyeh Kazemi, Ozgur Kisi, Wen-Cheng Liu

“…To evaluate the performance of the soft computing techniques, three different statistical indicators were used, including the root mean squared error (RMSE), the mean absolute error (MAE), and the coefficient of correlation (R). …”
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Evaluation of the performance of health extension workers on malaria rapid diagnostic tests and predictor factors in Bahir Dar Zuria district, northwest Ethiopia: A cross-sectional... by Zelalem Dejazmach, Getaneh Alemu, Mulat Yimer, Chalachew Muluneh, Banchamlak Tegegne

“…The most common procedural errors committed by health extension workers was 'not checking expiry date of the test kits' followed by 'not adhering to the appropriate time of reading results' that 70.7% and 64% of the participants committed these errors, respectively. …”
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Perceived cognitive loss, symptomology, and psychological well-being with bipolar disorder by Ophir Haglili, Andrew Sixsmith, Ariel Pollock Star, Moshe Shmueli, Norm O’Rourke

“…For this study, we identified four distinct clusters of adults with BD on the basis of both BD symptoms (depression and hypo/mania) and perceived cognitive errors (i.e., forgetfulness, distractibility, false triggering). …”
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An Innovative Framework for Quality Assurance in Logistics Packaging by Henriett Matyi, Péter Tamás

“…<i>Conclusions</i>: This research is important because, instead of using “island” solutions, in the future, companies will have a general framework available to them for handling all packaging-related errors according to a predefined methodology. …”
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Methodology of evaluation and correction of geometric data topology in QGIS software by Anita Kukulska, Tomasz Salata, Katarzyna Cegielska, Marta Szylar

“…Indeed, proper conducting of spatial analyses needs to administer a data set which is free of errors. Only then, is it possible to obtain proper results and draw appropriate conclusions.…”
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Measuring and estimation of suspended sediment variation using sediment rating curve approach in Mereg River by Sohila Aghabeigi Amin, Heidar Mirzaei

“…The rating curve of seasonal data cannot affect the accuracy of rating curves or reduce the relative error. 4-Conclusion During the study period, the hydrological regime of Merg River showed a lot of variability. …”
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A rolling bearing life prediction method based on multi-task gated networks by Liuyang SONG, Chuanhao ZHENG, Ye JIN, Tianjiao LIN, Changkun HAN, Huaqing WANG

“…Finally, the effectiveness is verified on the XJTU-SY bearing dataset.ResultsThe results show that, compared with classic time-series data prediction models such as Long Short Term Memory (LSTM), the multi-task gated networks prediction model has higher prediction accuracy, with the error metrics Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) improved by 62.5% and 67.81% respectively. …”
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Accuracy comparison of six intraocular lens formulas using total and standard keratometry measurements with the iolmaster 700 by Shuang Ni, Jingwen Wang, Danni Lyu, Zhe Xu, Jing-Wei Xu, Sha Zhu, Yixuan Feng, Ce Shi, Wen Xu

“…A total of 212 eyes were analyzed. The mean absolute error (MAE), standard deviation (SD) of prediction error, and the median absolute error (MedAE) were calculated for each formula. and the prediction accuracy was compared across different subgroups categorized by axial length (AL), anterior chamber depth (ACD), lens thickness (LT), and other ocular parameters. …”
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Novel equations for estimating gross energy in feed ingredients for non-ruminants by Yoon Soo Song, Ah Reum Son, Beob Gyun Kim

“…Results Based on the evaluation using 2,279 samples, the equation developed by Ewan in 1989 underestimates GE by 218 kcal/kg DM (standard error = 4 and p<0.001) on average and underestimates more for low-GE ingredients (linear bias = −0.121; standard error = 0.025 and p<0.001). …”
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State of Charge Estimation for Li-Ion Batteries: An Edge-Based Data-Driven Approach by Sesidhar Dvsr, Chandrashekhar Badachi, Chandrashekar Nagawaram, Panduranga Chary Kondoju, C. Dhanamjayulu, Innocent Kamwa

“…The experimental results provide a Mean Absolute Error (MAE) of 0.0630, a Mean Squared Error (MSE) of 0.0107, and a Root Mean Squared Error (RMSE) of 0.1033, confirming the efficacy of the proposed methodology. …”
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A comparative study of clinical methods and ultrasound methods for prediction of fetal birth weight at term gestation by Rashmi Khatri, Geetika Bhardwaj, Seema Rawal, Rajiv Ranjan Kumar, Neeru Malik

“…Results: Absolute mean error in prediction of actual fetal weight was significantly different among different methods with highest mean error being with Johnson’s method (359.37±97.09) and lowest error being with Leopold’s method (212.65±69.99), with ultrasound (233±65.86) showing the value in between both of them with p-value <0.0001. …”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Comparative experiments conducted on training data of a high-level university men’s volleyball team show that VSGRNN has a goodness-of-fit R2 = 0.927 on the validation set, with a Root Mean Square Error (RMSE) only 1.68 and Symmetric Mean Absolute Percentage Error (SMAPE) controlled at 8.21%. …”
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Importance Analysis of Vegetation Change Factors in East Africa Based on Machine Learning by Zhang Xiumei, Ma Bo, Zhang Yijie

“…Coefficient of determination (R2), mean absolute error (MAE), and mean relative error (MRE) were used as error indicators to evaluate the potential of the six machine learning algorithms for predicting NDVI changes. …”
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Towards Real-Time Spatial Distance Monitoring of Power Transmission Lines Using LiDAR Point Clouds and Visual Imaging by Li Zhendong, Wang Feiran, Han Geng, Guo Xinyang, Shi Zhaoyang

“…Spatial distance estimation had a low Mean Absolute Error (MAE) of 0.16 meters and Root Mean Square Error (RMSE) of 0.23 meters. …”
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Comparative evaluation of Artec Leo hand-held scanner and iPad Pro for 3D scanning of cervical and craniofacial data: assessing precision, accuracy, and user experience by Samuel D. J. Spears, Thomas Lester, Ryo Torii, Deepak M. Kalaskar

“…Precision and accuracy were assessed using Mean Absolute Deviation (MAD), Mean Absolute Percentage Error (MAPE), and Intra-Class Correlation Coefficients (ICC). …”
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