This research explores the justification for criminalizing bestiality in Indonesia, emphasizing the moral and ethical values embedded in Pancasila. Triggered by the infamous case of an orangutan named Pony, subjected to sexual exploitation, the study highlights significant gaps in the Indonesian legal system. While Article 302 of the Criminal Code addresses physical abuse, it fails to explicitly criminalize bestiality, leaving such acts unregulated. Using a normative juridical method, the research integrates Pancasila’s principles of humanity, justice, and animal welfare as the moral foundation for legal reform. Pancasila promotes respect for all living beings, viewing bestiality as a violation of its core principles. The findings reveal significant enforcement challenges, including the private nature of the crime, the lack of witnesses, and the inability of animal victims to provide testimony. Forensic evidence, such as histopathology and DNA analysis, is critical but often hindered by limited training among law enforcement and veterinarians. Additionally, societal taboos and inadequate legal education exacerbate public unawareness of bestiality as a criminal offense. This study advocates for comprehensive public legal education, specialized training for law enforcement on forensic techniques and evidence management, and collaboration with veterinary experts to ensure effective enforcement. These measures aim to uphold animal welfare and align legal policies with Indonesian societal and ethical values

One of the important steps to improve transparency, effectiveness, and accountability in village governance is the digitalization of village assets. This program aims to use digital tools to improve asset management, make data access easier, and help improve decision-making processes. The focus of this study is to support the digitalization of village assets through the creation and implementation of the Smart Village website in Mondoretno Village, Bulu District, Temanggung Regency. The mentoring strategy includes four steps, namely Digital village asset inventory, Collaboration with third parties, Promoting to the community, and Capacity building through feedback. The results of the mentoring show a significant increase in data organization, ease of access, and the ability of village officials to use digital platforms. In addition, the Smart Village website functions as a center for information and administrative activities. This website helps build a more sophisticated and connected village governance system. This study found that digital technology in village asset management is not only possible, but also effective in addressing the problems faced by rural communities. The success of the program in Mondoretno Village provides a model that can be used by other villages that want to change their lives to the computer and internet era.

Unsafe action is an action that does not comply with established procedures and rules which can cause work accidents. Unsafe action occurs for two reasons, such as unintentional errors and active errors or rule violations. Factor affecting unsafe action is internal and external factors. This research aims to examine the relationship between attitudes and knowledge towards unsafe action on section workers veneer setting at PT Abhirama Kresna. This research is a quantitative research using a cross sectional study design. The population in this study was 128 workers with 97 sample respondents. The variables in this study were knowledge, attitudes and unsafe actions. Bivariate analysis uses the chi square statistical test with a confidence level of 95%.  This research shows that knowledge does not have a significant relationship with unsafe action (p-value = 0.985; PR (CI 95%) = 0.288–3.391). On the other hand, attitude has a significant relationship with unsafe action (p-value = 0.022; PR (CI 95%) = 0.099–0.868). 

This research aims to determine the effect of using biochar and guano fertilizer on the growth and resistance of pakcoy to drought stress and it is hoped that this research will add information for the development of pakcoy plant cultivation techniques that are more adaptive to dry land. The method used in this research was a 2 factorial completely randomized plan. The first factor is providing Biochar (B) which consists of 4 levels: B0= Control 0 tons/ha, B2= Biochar 5 tons/ha, B3= Biochar 10 tons/ha, B4= Biochar 15 tons/ha. The second factor is the application of Guano fertilizer (G) which consists of 4 levels: G0= control 0 tons/ha, G2= Guano 5 tons/ha, G3= Guano 10 tons/ha, G4= Guano 15 tons/ha. . Based on the level of treatment used, 16 combinations were obtained, BOGO, BOG2, BOG3, BOG4, B2GO, B2G2, B2G3, B2G4, B3GO, B3G2, B3G3, B3G4, B4GO, B4G2, B4G3, B4G4, which were repeated 3 times so that there were 48 experimental units. The parameters observed include plant height, number of leaves and stem diameter. The results of the research showed that there was an interaction between plant height at 7 dap, 14 dap, 21 dap, 28 dap, number of leaves at 7 dap, 14 dap, 21 dap and stem diameter at 14 dap and 28 dap. Treatment with biochar rates of 10 tons/ha, 15 tons/ha and guano fertilizer 10 tons/ha, 15 tons/ha gave good growth results in plant height, number of leaves and stem diameter. This combination of two treatments can increase the efficiency of good nutrient uptake for optimal vegetative plant growth and can increase the soil's capacity to retain air and nutrients, while guano fertilizer provides essential nutrients that support the development of pak choy plants.

The improvement of digital business productivity in Benda Baru Pamulan Housing, South Tangerang, requires attention to human resource (HR) management. Many economic actors in this area struggle to manage HR effectively, limiting their potential to develop digital businesses. The HR Management Training Program aims to educate the community on efficient HR management, including recruitment, training, motivation, and performance evaluation relevant to digital businesses. The implementation of good HR management strategies is expected to enhance digital business productivity and create new business opportunities. This community service activity also aims to improve the skills of Benda Baru residents in creative marketing strategies for small and medium enterprises (SMEs), which have faced challenges in digital marketing and competition. The program is expected to increase the competitiveness of SMEs in a broader market, contribute to economic growth, and enhance collaboration and entrepreneurship within the community

Agricultural tools are important for agrarian communities. However, for some people in Banyumas Regency, Central Java, very few people have businesses in the agricultural tools sector. In fact, this can be a promising business opportunity. Knowledge about making blacksmith agricultural tools is generally obtained from generation to generation. Some blacksmiths in Banyumas generally only produce agricultural tools such as kudi and work machetes, because the need for these tools never stops, is always needed by farmers or workers, and the equipment produced does not require high design, even tends to be monotonous because the main thing is its function as work equipment. That is why Science and Technology for the Community (IbM) was implemented at the Pandai Besi Kirso production house on November 6, 2025, as a method of increasing production. IbM was continued with training in techniques for selecting raw materials, making potions that can improve the quality of iron, and making a variety of new products with high quality both in terms of strength and aesthetics. It was identified that agricultural tool craftsmen generally (1) Have limitations in equipment, (2) Lack expertise in metal blending, (3) Lack of innovative product variations, not only quality but also unique ethnic ones and (4) Low management quality. The implementation of IbM is expected to be able to minimize the problems of agricultural tool craftsmen's businesses, so that the blacksmith craftsmen's community businesses can develop and have a positive impact on the existence of MSMEs in Banyumas Regency.

Predicting credit worthiness is an important step for banks to reduce the risk of bad credit. This research compares the performance of four classification algorithms, namely SVM, Naïve Bayes, Random Forest and Decision Tree using simulated datasets. The results obtained on the metrics of accuracy, precision, recall, F1 score, and AUC-ROC, show that Decision Tree has the best performance with 42.5% accuracy, 48.3% precision, 47.5% recall, 47.5% F1 score, and AUC 0.60, indicating its ability to is in differentiating credit worthiness. Random Forest achieved an accuracy of 37.5% and an AUC of 0.493, while Naïve Bayes had the lowest accuracy with an accuracy of 27.5% and an AUC of 0.425. SVM gives better results than Naïve Bayes but is still inferior to Decision Tree. This research recommends implementing a Decision Tree as the main model with optimization through hyperparameter tuning, adding relevant features, and handling data accounting. These results are expected to support banking decision making more effectively and efficiently.

This research aims to examine the influence of audit quality, debt default and financial distress on going concern audit opinions. The population in this research are Consumer Cyclicals sector companies listed on the Indonesia Stock Exchange in 2020 - 2023. The sampling technique used was the purposive sampling method. The population in this study was 78 companies with 312 observations. This research was measured using SPSS 23 and tests were carried out, namely descriptive statistical analysis, classic assumption tests, namely multicollinearity tests, binomial logistic regression tests (overall model fit, goodness of fit and coefficient of determination or R2), hypothesis tests (partial tests and simultaneous tests). The results of this research show that audit quality has a negative effect on going concern audit opinion, debt default has a positive effect on going concern audit opinion, financial distress has no effect on going concern audit opinion.

This research aims to develop a training model based on Artificial Intelligence (AI) and blended learning to improve the professional competence of elementary school (SD) teachers in the digital era. This research uses the Research and Development (R&D) method with the Borg & Gall approach which involves ten systematic stages. The results of the study show that AI-based training models and blended learning are able to provide adaptive, personalized, and based on the real needs of teachers in the field. The evaluation of the effectiveness of this training model shows an increase in teachers' professional competence in integrating technology in learning. This research makes an important contribution to the development of technology-based teacher training policies in Indonesia.

This research aims to examine the role of consumer trust in mediating the influence of customer satisfaction and brand image on repurchase intention among Indomaret Kembarang Larang consumers in Tangerang. The method used is descriptive quantitative using a questionnaire. The analysis technique used in this research is Path Analysis. Sampling in this study used a purposive sampling technique with a sample size of 99 consumers. Data was collected through a questionnaire with an interval scale which was processed using Microsoft Excel 2013 and SmartPLS version 4.1.0.2 software. The results of this research indicate that the customer satisfaction variable has a positive and significant effect on repurchase intention. The brand image variable does not have a significant effect on repurchase intention. The consumer trust variable has a positive and significant effect. The customer satisfaction variable has a positive and significant effect on consumer trust. The brand image variable has a positive and significant effect on consumer trust. The consumer trust variable is able to mediate the customer satisfaction and brand image variables on repurchase intention.