Physics learning in senior high school faces challenges in developing students' scientific reasoning ability. This study aims to examine students' scientific reasoning ability through project-based learning of briquette making and its effect on improving students' critical thinking ability, especially in SMA Negeri 1 Jatiroto, to improve a more effective understanding of physics. The research was conducted at SMA Negeri 1 Jatiroto, Lumajang Regency, in semester one of the 2024/2025 scholastic year. The population of the research sample was class X students, which was determined using homogeneity test and random sampling technique or purposive sampling. The research design used Quasi Experimental with pre-test and post-test. Data collection was done through tests, observations, interviews, and documentation. The pre-test and post-test results showed a significant increase in the experimental class, with a higher mean post-test result (84) than the control class (50). Data analysis displayed a significant difference between the two groups, indicating that the project-based learning model had a beneficial effect on enhancing performance students' scientific reasoning skills. Thus, project-based learning in briquette making is proven to be able to encourage increased understanding of physics concepts while developing students' critical thinking skills more effectively.

Research on national banking using the Altman’s Z-Score analysis technique has been relatively extensive, but studies focusing specifically on banks indexed to SRI-KEHATI remain limited. The SRI-KEHATI Index is known as a benchmark for companies with strong sustainability, social responsibility, and good governance practices. This study aims to analyze the health trends of banks listed in the SRI-KEHATI Index during the 2015–2024 period by applying the second modified Altman’s Z-Score model (1993), which is widely recognized as a reliable indicator for assessing a company’s financial stability and risk of bankruptcy. The findings indicate that the overall Altman’s Z-Score trend of major banks within the SRI-KEHATI Index shows stability and a consistently healthy financial condition throughout 2015–2023. However, in 2024 there is a notable decline that requires further examination to determine whether it is caused by market fluctuations, structural challenges, or accounting adjustments. Despite this decrease, the overall financial health of the banks remains categorized as very good according to Altman’s model. The average Z-Score for all four banks analyzed is 6.457, which is well above the threshold of 2.6, indicating no significant bankruptcy risk. When evaluated individually, BMRI stands out as the healthiest with a Z-Score of 13.879, followed by BBNI with 5.971, BBRI with 3.175, and BBCA with 2.801. These results confirm that all four banks remain in a safe financial zone during the 2015–2024 period. Furthermore, the study’s four hypotheses are proven, reinforcing the argument that SRI-KEHATI indexed banks maintain strong financial resilience even amid post-Covid-19 challenges.

 
This study aims to examine the effect of effectiveness, accountability, and transparency of the management of School Operational Assistance Funds (BOS) on the successful procurement of school facilities and infrastructure. The object of this research is all students of class XI of SMKN 6 Sukoharjo who use facilities and infrastructure at school. This study uses primary data obtained through the distribution of questionnaires. The sampling technique used the Slovin formula from the total population of grade XI students, with an error rate of 5%, so that 179 respondents were obtained. Data analysis techniques used in this study include descriptive statistics, validity and reliability tests, classical assumption tests, and multiple linear regression tests. The results showed that the effectiveness of BOS Fund management had no significant effect on the successful procurement of facilities and infrastructure, with a significance value of 0.318 > 0.05 and tcount 1.001 < 1.973. Accountability has a positive and significant effect on the successful procurement of facilities and infrastructure, with a significance value of 0.000 < 0.05 and tcount 4.418 > 1.973. Transparency also has a positive and significant effect on the successful procurement of facilities and infrastructure, with a significance value of 0.001 < 0.05 and tcount 3.295 > 1.973.

This study aimed to analyze the influence of price and brand image on Mixue consumer loyalty in Yogyakarta.  Employing a quantitative approach with 50 respondents, data were collected through questionnaires and analyzed using multiple linear regression.  Validity and reliability tests demonstrated a robust research instrument. Classical assumptions were met.  The F-test indicated a significant simultaneous effect of price and brand image on consumer loyalty (p < 0.05).  However, the t-test showed that only brand image had a significant partial effect (p < 0.05), while the effect of price was insignificant (p > 0.05).  This finding has implications for Mixue's marketing strategy in Yogyakarta, emphasizing the importance of a strong brand image.

This paper examines the influence of financial education on personal financial management practices of Generation Z. A quantitative method with a survey approach was used, involving 30 Generation Z respondents (aged 17-25 years) through questionnaires and simple linear regression analysis. The results of the study indicate a significant influence of financial education on wise financial management practices. Generation Z with adequate financial education tends to be more able to budget, save, invest, and avoid impulsive debt. Conversely, the lack of financial education makes them vulnerable to unwise financial decisions. This paper highlights the importance of integrating financial education into the curriculum and self-development programs to improve literacy and healthy financial practices among Generation Z. This study also discusses the challenges faced by Generation Z in managing finances in the digital era, such as a consumptive lifestyle influenced by social media and e-commerce.

Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus and transmitted by the Aedes aegypti mosquito. The working area of the Rawasari Health Center in Jambi City shows a trend of increasing dengue cases from year to year. This indicates that there may be other factors influencing the incidence of dengue, including physical environmental conditions and community behavior. The objective of this research is to determine the relationship between the presence of mosquito larvae in water reservoirs/containers, the action of hanging clothes, using mosquito repellent, cleaning water containers, disposing of waste items, and installing wire mesh with the incidence of dengue fever in the working area of the Rawasari Health Center in 2025. This research uses a quantitative study, with a case control design. The sample size consisted of 24 cases and 24 controls determined by matched case control study techniques based on age and gender. Data were collected through questionnaires and observation sheets, and analyzed using the chi-square test to determine the relationship between the independent variables and the incidence of dengue fever. The results show that the presence of mosquito larvae in water storage containers (p-value 0.042), practices of cleaning water storage containers (p-value 0.020), actions to eliminate waste items (p-value 0.043), and the installation of screens or mosquito nets (p-value 0.004) are significantly related to the incidence of dengue fever. Conversely, other factors such as the habit of drying clothes and the use of mosquito repellent did not show a statistically significant relationship with dengue fever cases in the study population. There is a significant relationship between the actions of cleaning water storage places and installing wire mesh. Effective prevention requires active community involvement in maintaining environmental cleanliness and consistently implementing the 3M Plus practices.

Minimnya atensi wajib pajak terhadap sosialisasi telah dicoba oleh fiskus pajak menimbulkan kecenderungan wajib pajak buat tidak patuh dalam penuhi kewajiban perpajakannya. Diperlukan banyak profesi konsultan pajak karena masih minimnya konsultan pajak dalam menangani banyaknya wajib pajak dalam melaporkan kewajibannya. Tujuan penelitian ini adalah untuk mengetahui pengaruh pengetahuan perpajakan, norma subjektif, dan penghargaan finansial terhadap minat berkarir mahasiswa menjadi konsultan pajak dengan self efficacy sebagai variabel moderasi. Metode dalam penelitian ini adalah kuantitatif. Sampel dipilih secara purposive sampling dengan jumlah responden sebanyak 127 orang yang memenuhi kriteria tertentu. Responden yang menjadi subjek penelitian adalah mahasiswa Universitas Hayam Wuruk Perbanas Surabaya, UPN Veteran Jawa Timur, Sekolah Tinggi Ilmu Ekonomi Indonesia Surabaya. Analisis data dilakukan dengan menggunakan Partial Least Square Structural Equation Modeling (PLS-SEM) dengan bantuan SmartPLS versi 4.0. Hasil penelitian menunjukkan bahwa pengetahuan perpajakan, norma subjektif, dan penghargaan finansial berpengaruh signifikan terhadap minat karir mahasiswa menjadi konsultan pajak. Self efficacy memperkuat pengetahuan perpajakan, Self efficacy memperlemah norma subjektif, self efficacy tidak memoderasi penghargaan finansial pada minat karir mahasiswa menjadi konsultan pajak.

This study aims to analyze the extent to which artificial intelligence (AI) technologies are utilized by government institutions and companies in public relations (PR) practices, and to relate these findings to crisis management strategies. Using a descriptive quantitative approach, data were collected through surveys and interviews involving 23 institutions, consisting of 19 government agencies and 4 private companies. The results show that ChatGPT is the most widely used AI tool (56%), followed by Gemini (34%) and QuillBot (14%). Most other tools showed low usage rates, with a high percentage falling under the “unknown” category, indicating limited information and awareness regarding AI technologies within PR environments. These findings have strategic implications in the context of crisis management, as the speed and accuracy of information dissemination are highly dependent on technological adaptability. The integration of AI tools into public communication systems can serve as both a preventive and responsive solution to reputational and operational crises. Therefore, policies are needed to enhance digital literacy and provide technical training on AI utilization for PR practitioners in both the public and private sectors.

The development of early childhood social-emotional intelligence is an important aspect in the formation of character and social adaptability of children. This community service activity aims to enhance the understanding and competence of teachers and prospective PAUD educators through a national seminar that focuses on their strategic role in supporting children's social-emotional development. The implementation method is an interactive seminar involving expert speakers, group discussions, and practical case studies. The results of the activity showed a significant increase in participants' knowledge of the concept of social emotional intelligence, effective learning techniques, and strategies for managing children's emotions and positive social interactions. In addition, this seminar succeeded in encouraging teachers and prospective educators to apply a more empathetic and responsive learning approach to the emotional needs of early childhood. This activity makes a significant contribution to strengthening the role of educators as primary facilitators in the development of children's social-emotional intelligence, which ultimately supports the creation of a conducive and inclusive learning environment.

Cancer is one of the medical conditions that causes many deaths in different parts of the world. Based on information obtained from GLOBOCAN, the International Agency for Research on Cancer (IARC) in 2022, there were at least 19.976.499 individuals diagnosed with cancer, and the disease caused death in 9.743.832 people. The detection of breast cancer malignancy relies on the prognosis process, requiring forecasting and automated detection to mitigate diagnostic errors. This facilitates swift and comprehensive analysis of medical data. The study employs the Neural Network, specifically the Artificial Neural Network model, implemented using python and the backpropagation algorithm. Utilizing data from the WDBC Database at the University of Wisconsin, the research achieves a 96,49% accuracy in breast cancer prediction, with an area under curve (AUC) value of 0,992, demonstrating the model's overall efficacy in accurate predictions.