The aim of this research is to determine the influence of the work environment, individual characteristics and employee performance at Bank Syariah Indonesia. This research uses a qualitative approach using literature study and technical content analysis. In the work environment at Bank Syariah Indonesia there is a huge support for the creation of a company's activity processes. With a good working environment, good and pleasant working conditions will be created, this can provide employee morale. According to (Rahmawanti et al., 2014). a work environment that is always around workers who are able to influence them in carrying out the tasks they have been burdened with. Meanwhile, individual characteristics are that each person must have different views, goals, abilities and needs from each other. These differences will bring habits into the world of work, which will cause self-satisfaction and cause differences between each other even though they work in the same place. An employee's performance is the result of a person's work during the period of work, for example standards, targets or target criteria that have been determined in advance and have been mutually agreed upon.

Pada penelitian ini menganalisis faktor yang mempengaruhi ketepatan waktu keberangkatan pesawat di bandara internasional Raja Haji Fisabilillah Tanjungpinang. Metode penelitian ni menggunakan observasi dan kuesioner, sedangakan untuk metode analisis data adalah menggunakan analisis regresi linier berganda. Hasil penelitian ini menunjukkan bahwa variabel Maintenance, Scheduling dan Kapasitas Air Side berpengaruh psitif dan signig=fikan terhadap On Time Performance-nya dengan pembuktian uji t masing-masing variabel mendapatkan t hitung sebesar (0,385), (2,822), dan (5,176).

 The development of COVID-19 cases in Aceh for each region based on spatio-temporal is vital information to know. Spatio-temporal mapping is carried out to knowthe distribution of cases in diversity based on regional and time conditions. The timeseries design study was used as the research design in this study. This study aims toobtain factors that influence the incidence of COVID-19 cases in Aceh using paneldata regression analysis and the GTWR model for more accurate results. There arenine variables from 23 districts/cities in Aceh Province in 2020 and 2021. Based onpartial panel data regression analysis, of the eight independent variables that arefactors for analysis, it shows that only the variable number of doctors (p < 0.000),number of Tuberculosis Cases (p < 0.000), Number of Villages with Puskesmas (p< 0.026), and Number of Poor population (p < 0.035) have a significant effect onthe increase in COVID-19 cases in Aceh. The number of Tuberculosis Cases is avery dominant variable. Then, the results of the GTWR analysis using the AdaptiveKernel Exponential weighting function show that regional and time diversity affectthe factors that cause an increase in COVID-19 cases in Aceh. These factors need tobe a concern in controlling COVID-19 cases in Aceh in the future. 

The study focuses on addressing fatigue among healthcare workers in Emergency Room (ER), vital in delivering health services but prone to worker fatigue. Using objective measures like cardiovascular load (%CVL) and Bourdon Wiersma test, it evaluates physical and mental fatigue. Leveraging the System Engineering Initiative for Patient Safety 2.0 (SEIPS 2.0) model, it comprehensively analyzes factors affecting fatigue. Data collection includes surveys and statistical analysis through Structural Equation Modeling-Partial Least Squares (SEM-PLS). Results show all workers experience fatigue, with physical fatigue affected by age and gender, and mental fatigue influenced by workload. The outer model analysis confirms convergent and discriminant validity, and reliability of the constructs. The inner model analysis reveals the work system significantly affects fatigue, while the process does not. The study emphasizes the importance of addressing fatigue to improve worker well-being and enhance patient care in ER, providing actionable insights for healthcare organizations.

Budaya menjadi bagian dari diri kita dalam bentuk nilai, kepercayaan, perilaku dan cara kita berinteraksi dengan orang lain. Budaya yang ada di masyarakat menjadi suatu hal yang menarik untuk diteliti. Penelitian ini bertujuan untuk mengetahui pelaksanaan tradisi lamporan serta nilai-nilai pancasila yang diamalkan dalam tradisi lamporan di Kelurahan Kunden Kabupaten Blora. Penelitian ini menggunakan metode kualitatif dengan teknik pengumpulan data berupa observasi, wawancara, serta dokumentasi. Hasil penelitian menunjukkan bahwa tradisi lamporan di kelurahan Kunden dimaknai sebagai tolak bala dengan meminta dan memohon kepada Tuhan Yang Maha Esa agar diberi keselamatan dan kesejahteraan serta terhindar dari bahaya. Nilai-nilai pancasila yang diamalkan dalam tradisi lamporan adalah Nilai Ketuhanan Yang Maha Esa melalui kegiatan arak-arakan dan doa bersama, Nilai Kemanusiaan yang Adil dan Beradab melalui kegiatan kerja bakti dan arak-arakan, Nilai Persatuan Indonesia melalui kegiatan kerja bakti, pemberangkatan lamporan, dan arak-arakan, Nilai Kerakyatan yang Dipimpin oleh Hikmat Kebijaksanaan dalam Permusyawaratan Perwakilan melalui kegiatan rapat persiapan, dan Nilai Keadilan Sosial bagi Seluruh Rakyat Indonesia melalui kegiatan kerja bakti dan arak-arakan.

Purpose: This research aims to improve the accuracy of sentiment analysis on PLN Mobile app reviews by overcoming the challenge of data imbalance. This goal is important to provide a better understanding of user opinions and support PT PLN (Persero) in improving mobile application services.
Methods: This research uses the Random Forest algorithm combined with Synthetic Minority Over-sampling Technique (SMOTE) to handle imbalanced data. Data is collected through web scraping reviews from the Google Play Store, followed by preprocessing processes such as data cleaning, stopword removal, tokenization, and stemming. Feature extraction is performed using the Bag of Words (BoW) method, and the data is tested with four sharing schemes.
Result: The results showed that the 90%-10% sharing scheme gave the best performance with an accuracy of 81% and an average precision and recall of 0.79. This finding confirms that the larger the proportion of training data, the better the model performs sentiment classification.
Novelty: This research's novelty lies in combining SMOTE with BoW and Random Forest to overcome data imbalance. This approach is a significant reference for future sentiment analysis research. It provides practical insights that PT PLN (Persero) can use to improve the quality of its application services.

Education for Sustainable Development (ESD) plays a crucial role in achieving the Sustainable Development Goals (SDGs) 2030 by promoting the acquisition of understanding, knowledge, and skills. This study aims to assess students’ Education for Sustainable Development (ESD) competencies and examine the correlation between ESD competency and students’ environmental empathy in Disaster and Environmental Knowledge at Universitas Syiah Kuala. This study employed a correlation research method with quantitative and qualitative approaches using random sampling techniques. The random sampling method was used to select 339 participants with a 95% confidence level. Data were collected using an ESD competency test, an environmental empathy questionnaire, and interviews. Data analysis was performed using the Pearson product-moment correlation technique. The analysis results show that the average score for students’ systems thinking competency was 73.67% (good category), and students’ critical thinking competence was 71.64% (adequate category). Statistical analysis shows a significant positive correlation between ESD competency and environmental empathy (r = 0.301), indicating that ESD competency explains 31.1% of the variance in environmental empathy. Therefore, it can be concluded that ESD competency is positively related to environmental empathy, though with a low level of correlation. This study provides valuable insights for universities and stakeholders in designing more effective ESD programs to promote sustainable development, especially goals 4 (quality education) and 13 (climate action).

In the context of civil law, Tort Law plays an important role in upholding the rights of loss victims. Tort law is rooted in the principle that every individual has the right to live without experiencing interference from the unlawful acts of others. The aim of this research is to find out how Tort Law works in the context of Civil Law: Enforcement of the Rights of Loss Victims. The method used in this research is qualitative research in the nature of library research which uses books and other literature as the main object. Data analysis in this research looks for sources of information regarding tort law in the context of civil law: Enforcement of the Rights of Loss Victims. Based on research results, Tort Law in the context of civil law discusses violations of civil law that cause harm to individuals or property. The principle is to provide compensation to victims who suffer as a result of unlawful actions.

Minerals are solid objects that can be found in nature, formed inorganically, with chemical composition at certain limits and have atoms arranged regularly. Rocks can be distinguished based on the formation process and mineral content. The purpose of this study is to identify minerals in sedimentary rocks and laterite deposits in this study used analytical methods, namely Binocular Microscope and XRD (X-Ray Diffraction) laboratory tests. XRD analysis is used to determine the type of mineral in the sample. Based on the results of the XRD X-Ray Diffraction lab test, each sample has a different mineral content.