Empirical studies of possible compound corrosion inhibitors require a lot of money, time, and resources. Therefore, we used a machine learning (ML) paradigm based on quantitative structure-property relationship (QSPR) models to evaluate ensemble algorithms as predictors of corrosion inhibition efficiency (CIE) values. Our investigation reveals that the gradient boosting (GB) regressor model outperforms other ensemble-based models. This advantage is evaluated objectively using the metrics root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2). In summary, our research provides a new perspective on how well machine learning algorithms in particular ensembles work to identify organic molecules such as pyridazine that have the potential to prevent corrosion on the surfaces of metals such as iron and its alloys.

Corrosion in materials is a significant concern for the industrial and academic fields because corrosion causes enormous losses in various fields such as the economy, environment, society, industry, security, safety, and others. Currently, material damage control using organic compounds has become a popular field of study. Pyridine and quinoline stand out as corrosion inhibitors among a myriad of organic compounds because they are non-toxic, inexpensive, and effective in a variety of corrosive environments. Experimental investigations in developing various candidate potential inhibitor compounds are time and resource-intensive. In this work, we use a quantitative structure-property relationship (QSPR)-based machine learning (ML) approach to investigate support vector machine (SVR), random forest (RF), and k-nearest neighbors (KNN) algorithms as predictive models of inhibition performance. (Inhibition efficiency) corrosion of pyridine-quinoline derivative compounds as corrosion inhibitors on iron. We found that the RF model showed the best predictive ability based on the coefficient of determination (R2) and root mean squared error (RMSE) metrics. Overall, our study provides new insights regarding the ML model in predicting corrosion inhibition on iron surfaces.

Investigating potential corrosion inhibitors via empirical research is a labor- and resource-intensive process. In this work, we evaluated various linear and non-linear algorithms as predictive models for corrosion inhibition efficiency (CIE) values using a machine learning (ML) paradigm based on the quantitative structure-property relationship (QSPR) model. In the quinoxaline compound dataset, our analysis showed that the XGBoost model performed the best predictor of other ensemble-based models. The coefficient of determination (R2), mean absolute percentage error (MAPE), and root mean squared error (RMSE) metrics were used to objectively assess this superiority. To sum up, our study offers a fresh viewpoint on the effectiveness of machine learning algorithms in determining the ability of organic compounds like quinoxaline to suppress corrosion on iron surfaces.

Pancasila has been the main political foundation in Indonesia since its independence in 1945. The implementation of Pancasila principles in state politics has been the subject of important juridical debate. This article investigates the juridical review of the implementation of the Pancasila principles as a political foundation in Indonesia. Through analysis of the constitution, court decisions, and academic discussions, this research explores how the principles of Pancasila are understood, interpreted, and applied in the Indonesian political context. The results of this research provide an in-depth understanding of the role and relevance of Pancasila in the formation of public policy and the protection of human rights in Indonesia. Pancasila, as the foundation of the Indonesian state, has a very important role in determining the direction of state political policy. The implementation of Pancasila principles as a political foundation has become a significant debate in the juridical context in Indonesia. This research aims to conduct an in-depth review of the implementation of Pancasila principles in Indonesian political policy juridically.

Penelitian ini bertujuan untuk menyelidiki pengaruh struktur modal dan keputusan investasi terhadap nilai perusahaan, dengan pengungkapan lingkungan sebagai variabel moderasi pada perusahaan di sektor energi (minyak, gas, dan batu bara) di Indonesia. Hasil penelitian menunjukkan bahwa: Struktur modal tidak  berpengaruh signifikan terhadap nilai perusahaan. Pengungkapan lingkungan memoderasi secara signifikan hubungan antara struktur modal dan nilai perusahaan. Pengungkapan lingkungan yang transparan dapat memperkuat persepsi pemangku kepentingan dan meningkatkan nilai perusahaan. Keputusan investasi tidak berpengaruh signifikan terhadap nilai perusahaan. Pengungkapan lingkungan tidak memoderasi secara signifikan hubungan antara keputusan investasi dan nilai perusahaan. Temuan ini menekankan pentingnya pengungkapan lingkungan dalam mempengaruhi persepsi pemangku kepentingan, keputusan investasi, dan pada akhirnya nilai perusahaan di sektor energi yang sensitif terhadap lingkungan.

Occupational safety encompasses a range of practices adopted to protect the health and safety of employees. In the construction and industrial sectors, employees may be exposed to various risks such as falls, impacts, temperature changes and the effects of chemical substances. For this reason, personal protective equipment (PPE) is an important element for protecting employees against risks. The effective use of equipment such as a hardhat, mask, and vest makes an important contribution to the prevention of occupational accidents and health problems by ensuring the safety of employees. This study conducted three separate experiments investigating the potential of deep learning methods on occupational safety. In the first experiment, the YOLOv5n and YOLOv8n models were trained on the same data set with ten classes, and their performance was compared. In the second experiment, the YOLOv8n model was trained on a 2-class dataset to examine how the number of classes affected the model's performance. As a result of the experiments, it was seen that it emphasized the potential of deep learning and object detection methods to quickly and effectively monitor and evaluate the use of personal protective equipment.

In this study, quantitative methods using structured questionnaires were used to assess the impact of slang use on good and correct Indonesian use among Generation Z. The study participants consisted of 35 people from Generation Z. Data analysis concluded that although the majority of respondents admitted to using slang in daily life, awareness of the importance of using Indonesian formal language still remained high. The results showed that the use of slang did not have a significant effect on the participants' ability to use Indonesian words accurately. This highlights that although Gen Z generally embraces slang culture, Indonesian is still considered important in the context of communication. Therefore, continuous efforts are needed to encourage the use of Indonesia's official language in various communication situations. Therefore, continuous efforts are needed to encourage the use of Indonesia's official language in various communication situations. A follow-up study examined the impact of slang use on Generation Z's interpersonal and professional communication, and highlighted that although slang has an interesting cultural influence, awareness of formal language use remains relevant.

The purpose of this study was to determine the factors that differentiate teachers' competencies. This research used a quantitative method with a survey approach. The population of this study was 99 teachers from Nurul Iman Integrated Islamic Elementary School and Al-Azhar Jaka Permai Islamic Elementary School. The statistical analysis used was multiple regression analysis and residual test for moderating variables. The results showed that there are 4 variables that significantly (p = 0.05) can demonstrate differences in teachers' professional competencies, namely: interactivity and mastery of student development are the most dominant variables that can identify differences in teacher competencies, as seen in the canonical correlation coefficient of 0.609, which when squared becomes (0.609)² = 0.370, meaning that 37% of the variation in teacher professional competency variables is explained by discriminant variables, namely interactive and understanding student development variables that can identify differences in teacher competencies through the test (Wilk’s Lambda = 0.629; Chi-square = 11.360 and p = 0.000); Discriminant function equation: Z = -.002 + 0.379 X3.2 - 0.240 X4.2.

Pancasila dan bhinneka tunggal ika sangat penting bagi bangsa Indonesia.Bukan hanya sebagai semboyan melainkan lebih sebagai alat pemersatu bangsa. Pada era politik ini, bhineka tunggal ika sedang diuji oleh kelompok-kelompok yang menggunakan politik identitas untuk meraih kekuasaan bahkan dengan cara mengubah pancasila dan bhineka tunggal ika menjadi khalifah dan syariat islam. Kelompok-kelompok beraliran ekstrim ini sangat berbahaya bagi keutuhan NKRI (Negara Kesatuan Republik Indonesia) karena Indonesia terdari dari berbagai suku bangsa, agama, ras yang berbeda yang disatukan dengan pancasila dan bhineka tunggal ika sehingga apabila bhineka tunggal ika dan pancasila diubah maka dikhawatirkan Indonesia akan pacah atau bubar

Penelitian ini bertujuan untuk mendeskripsikan urgensi pendidikan antikorupsi sebagai langkah preventif pencegahan tindak korupsi, ditinjau baik dari aspek pendidikan formal dan pelayanan publik. Penelitian ini dilakukan dengan metode studi literatur. Peneliti melakukan studi literatur dengan tujuan untuk memberikan pemahaman mendalam tentang pentingnya pendidikan antikorupsi dan pentingnya nilai integritas dalam masyarakat, sehingga peneliti mengelompokkan, mengolah, dan menggunakan berbagai literatur yang relevan saja.  Hasil penelitian menunjukkan pendidikan antikorupsi sebagai upaya pencegahan tindak pidana korupsi hendaknya dilakukan sedini mungkin. Dengan kata lain, pendidikan antikorupsi sangat urgen diterapkan kepada pelajar, mahasiswa, dan setiap kalangan termasuk diantaranya aparatur sipil negara sebagai pemegang dan pengatur kepentingan publik. Dengan begitu, tujuan Indonesia sebagai land of inegtity dapat tercapai sepenuhnya.