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Bullying is an act of physical or psychological violence that can have long-term effects on its victims. In the context of legal protection, Law No. 35 of 2014 on Child Protection serves as the legal foundation for protecting children from all forms of violence, including bullying. This legal protection includes both preventive and repressive measures against perpetrators, as well as the provision of facilities for the recovery of victims.Moreover, social factors such as cultural norms, family environment, and peer interactions often exacerbate the impact of bullying. Stigma and discrimination against victims, which frequently arise due to a lack of public awareness, can worsen their psychological condition and hinder the recovery process.This study aims to analyze the social and legal impacts of bullying on victims and highlight the importance of more effective legal protection in reducing the prevalence of bullying in society.

This research discusses the role of social and environmental factors in sustainable investment in Indonesia. This research discusses the progress of sustainable investment in Indonesia which is increasingly receiving attention as a response to demands to achieve inclusive economic growth and maintain environmental balance. This research aims to analyze the role of social and environmental factors in the context of sustainable investment in Indonesia. Through a descriptive-analytical approach, researchers investigate how social factors, such as social justice, and environmental factors, such as environmental sustainability, influence investment decisions in various economic sectors. This research uses primary and secondary data to detail the impact of sustainable investment on economic growth, social resilience and environmental conservation. The research results show that the role of social factors, such as local community involvement, and environmental factors, such as environmentally friendly practices, have a positive influence on sustainable investment performance. This research also identifies the challenges and opportunities faced by stakeholders in implementing sustainable investment in Indonesia. These findings provide valuable insights for decision makers, governments and business people in developing sustainable investment strategies that are in line with social values and environmental sustainability. By understanding the complexity of social and environmental factors, it is hoped that sustainable investment can become the main pillar in encouraging sustainable development in Indonesia.

Abstrak. Kualitas ekonomi di negara-negara Asia dipengaruhi oleh berbagai faktor sosial, keamanan, dan lingkungan yang kompleks. Penelitian ini menggunakan Generalized Linear Models (GLM), yaitu regresi Poisson dan Binomial Negatif, untuk menganalisis hubungan antara variabel-variabel seperti Governance, Social Capital, Safety and Security, Living Conditions, Education, dan Natural Environment terhadap tingkat kualitas ekonomi. Hasil analisis menunjukkan bahwa model Poisson menghadapi keterbatasan karena adanya overdispersion, yang tercermin dari nilai AIC yang tidak terdefinisi dan residual deviance yang relatif tinggi. Sebaliknya, model Binomial Negatif lebih efektif dalam menangani data dengan variansi lebih besar dari rata-rata, menghasilkan nilai residual deviance yang lebih rendah dan AIC yang lebih baik. Dalam model Binomial Negatif, variabel Social Capital terbukti signifikan dengan koefisien yang menunjukkan pengaruh positif terhadap kualitas ekonomi. Penelitian ini menegaskan bahwa model Binomial Negatif lebih cocok untuk memodelkan data kualitas ekonomi di kawasan Asia, dengan Social Capital sebagai variabel yang paling berpengaruh, yang akan memberikan wawasan yang berguna bagi pengambilan kebijakan untuk meningkatkan kualitas ekonomi di kawasan ini.

The purpose of this article is to identify the factors that influence public compliance with traffic regulations and to find solutions for improving compliance. The data collection techniques used in this research include conducting surveys and field interviews, as well as gathering findings from various sources such as books, journals, and existing studies. As a country governed by the rule of law, Indonesia requires its citizens to abide by the laws in force, which is a fundamental principle in the context of law enforcement. The principle of the rule of law forms the foundation of Indonesia’s legal system, applying to all citizens and institutions, including the government. Compliance with the law is essential for maintaining order and harmony in society. Legal awareness is necessary for the comprehensive enforcement of regulations. Both the public and the government are responsible for understanding and complying with applicable laws, as well as fostering legal awareness in the community and future generations. The research findings reveal that the level of public compliance with traffic regulations in Surakarta is indeed influenced by several social factors such as education, honesty, and law enforcement. Based on these factors, solutions for improving public compliance with traffic regulations include strengthening law enforcement and enhancing the quality of education.

Introduction: Digital transformation in the agricultural sector has become an urgent need to increase efficiency and productivity, especially in tropical regions that are rich in natural resources but face challenges in adopting technology. Purposed: To analyze the socio-economic factors influencing the adoption of precision agricultural technology by farmers in tropical agro-ecological areas. Research method: A quantitative approach with an explanatory survey design was used in this study, with a sample consisting of crop farmers selected randomly. The independent variables analyzed include age, education, income, land area, access to credit, and participation in farmer groups, while the dependent variable is the level of adoption of precision technology. Results: Logistic regression showed that education, income, access to credit, and participation in farmer groups have a significant impact on the adoption of precision technology. In contrast, land area did not show a significant effect on technology adoption. Access to credit and education had a very strong influence on the adoption decision, followed by income and participation in farmer groups. This study suggests the need for improving access to education, providing adequate financing schemes, and empowering farmer groups to enhance the adoption of precision agricultural technology in tropical areas. Thus, policies supporting precision agriculture technology are expected to improve productivity and sustainability in the region.  

Pada penelitian ini menganalisis tiga variabel, yaitu variabel ekspektasi kinerja, faktor sosial dan kondisi yang memfasilitasi yang mempengaruhi variabel dependen yaitu pemanfaatan penggunaan E-tiket. Perumusan masalah, tujuan penelitian dan hipotesis pada penelitian ini adalah untuk menganalisis pengaruh yang positif dan signifikan secara individual antara variabel independen yaitu: ekspektasi kinerja, faktor sosial dan kondisi yang memfasilitasi terhadap variabel dependen yaitu pemanfaatan penggunaan E-tiket. Pada penelitian ini obyek yang diambil adalah penumpang bus PO. Haryanto di kudus. Teknik analisis datanya adalah teknik regresi linier berganda. Berdasarkan hasil penelitian dan analisis data dihasilkan persamaan regresi: Y = -0,469 + 0,375 X1 + 0,478 X2 + 0,169 X3 + µ. Hasil  persamaan regresi linier berganda menunjukkan bahwa ada pengaruh yang positif dan signifikan secara parsial antara ekspektasi kinerja terhadap  pemanfaatan penggunaan E-tiket (nilai t hitung sebesar 5,470 > nilai t tabel sebesar 1,986), Hasil  persamaan regresi linier berganda menunjukkan bahwa ada pengaruh yang positif dan signifikan antara faktor sosial terhadap pemanfaatan penggunaan E-tiket  (nilai t hitung = 7,197 > t tabel = 1,986), Hasil  persamaan regresi linier berganda menunjukkan bahwa ada pengaruh yang positif dan signifikan antara kondisi yang memfasilitasi terhadap pemanfaatan penggunaan E-tiket (nilai t hitung = 2,596 > t tabel = 1,986), Koefesien determinasi mendapatkan nilai Adjusted R square sebesar 0,549 dengan demikian 54,9% penumpang bus PO. Haryanto di kudus dijelaskan oleh 3 variabel tersebut, sedangkan sisanya 45,1% seperti harga, kemudahan dan lainnya. merupakan pengaruh variabel lain yang tidak termasuk didalam penelitian ini.