The purpose of this study is to determine the legal status of the eigendom verponding land No. 1 AAN after the decision No. 27/Pdt.G/2019/PN Soe, and the legal consequences of the decision No. 27/Pdt.G/2019/PN Soe. The benefit of this research is to contribute to the development of knowledge in general legal studies and specifically in agrarian law, particularly in the context of the control of western lands that have not yet been converted according to the provisions of the Basic Agrarian Law. This research is a type of normative research. The results of this study show: (1) The legal status of the eigendom verponding land No. 1 AAN after the decision No. 27/Pdt.G/2019/PN Soe is valid and has binding legal force because it has been registered and ratified by the Regent of Timor Tengah Selatan, Drs. C Tapatab, on July 27, 1979, as a representative of the Directorate General of Agraria. (2) The legal consequence of decision No. 27/Pdt.G/2019/PN Soe is that nothing can be executed because the judge declared the case inadmissible (Niet Ontvankelijke Verklaard - NO), meaning the substance of the case cannot be examined, but the plaintiff was ordered to pay court fees amounting to IDR 5,811,000 (Five million eight hundred eleven thousand Rupiah). The author's recommendation is that the public should keep and document all land ownership-related documents, that plaintiffs or heirs should file a new lawsuit so that the substance of the case can be continued, that the government should ensure legal certainty in every process of acquiring ownership rights, that the Timor Tengah Selatan Regional Government should issue a final Regional Regulation related to land law, and that judges in the PN Soe Court should dig deeper into the information to resolve the dispute regarding the eigendom verponding land No. 1 AAN.
 
 

The younger generation in Indonesia is now becoming more concerned with the health of the skin, so the use of sunscreen is increasing. When someone decides to buy sunscreen, things like how good the product is and how much they trust a brand is crucial. The aim of this research is to see how Product Attributes and Brand Trust influence the Purchase Decision of Glad2Glow Sunscreen Products in Surabaya City. The sampling approach was targeted with a total of 90 survey respondents. This research method is a quantitative method with the Partial Least Square method. (PLS). The results of this study show that Product Attributes have a positive influence on Purchase Decisions, and Brand Trust has a positive effect on Purchasing Decision.

This study explores into exploring the execution of Equilibrium Theory-Based Gender Equality (ETBGE) in Boja Village to enhance family welfare, employing a non-doctrinal (empiric) approach through observation and surveys. Gender equality is crucial for holistic development, especially in rural areas, as it promotes socioeconomic progress. Drawing on Equilibrium Theory, which advocates for equal This study delves into how gender equality principles can be effectively applied at the community level to enhance access to resources and opportunities. Through systematic observation and comprehensive surveys in Boja Village, the study evaluates gender dynamics, resource allocation, decision-making processes, and overall family welfare. Analysis of empirical data, including demographic profiles, economic indicators, and social structures, aims to uncover existing disparities and challenges in achieving gender equality objectives. The findings offer insights into the effectiveness of ETBGE principles in Boja Village, identifying successful areas and those needing further intervention. The study concludes by proposing practical recommendations and strategies to empower Boja Village residents, particularly women, enabling them to participate in decision-making, access resources equitably, and enhance the welfare of their families and the community.

The research intends  to explore as well as assess the impact of customer experience also price perception on repurchase interest for the Disney+ Hotstar streaming service. This study was conducted with 110 respondents, all of whom were Disney+ Hotstar customers living in Surabaya. The purposive sampling approach was employed, and the study was quantitative. The data will be measured and analyzed using SmartPLS. The study explains that: (1) Customer Experience has a significant impact on repurchase interest for the Disney+ Hotstar streaming service, and (2) Price Perception positively influences repurchase interest.

The research aimed to optimize the Problem-Based Creative Learning (PBCL) model to enhance higher-order thinking skills (HOTS) in natural science learning. The research used the Delphi method, which involved seven experts in education from various disciplines contributing to a cycle of Delphi. The Delphi cycle consisted of two cycles, and data analysis involved using the Aiken V statistical equation. The Delphi study results highlighted agreement on the characteristics of the PBCL model, which included (1) syntax, (2) social system, (3) principles of reaction, (4) support system, and (5) the impact of learning. The research findings highlight the potential of PBCL as an innovative learning model in natural science learning, emphasizing its effectiveness in improving aspects of analysis, evaluation, and creation as part of HOTS. The study contributes a learning model framework for educators to strengthen natural science education and cultivate insightful and adaptive students in the 21st century.

Narcotics crime in the military environment is a serious offense that not only violates general criminal law, but also violates the code of ethics and discipline of Indonesian National Army (TNI) soldiers. This study aims to analyze the basis of the judge's consideration in imposing additional punishment of dismissal against TNI soldiers who commit narcotics crimes. The research method used is normative legal research using a statutory approach and a conceptual approach where cases that have permanent legal force (inkracht van gewijsde) are studied by the author from the judge's consideration to the verdict. The results of this study indicate that the rationality of the judge's consideration in imposing additional punishment of dismissal is based on several fundamental aspects: (1) The impact of actions on military institutions (2) Factors of violation of the code of ethics and discipline of TNI soldiers (3) Consideration of professionalism and integrity of TNI soldiers.

Penyakit paru-paru, seperti pneumonia dan kanker paru-paru, menjadi masalah kesehatan global dengan tingkat kematian tinggi, terutama dipengaruhi oleh polusi udara, infeksi, dan kebiasaan merokok. Pencegahan dan deteksi dini sangat penting dalam mengurangi dampaknya. Algoritma yang digunakan dalam penelitian ini meliputi Random Forest, XGBoost, dan Logistic Regression. Tujuannya yaitu untuk membandingkan performa tiga algoritma machine learning dalam mengklasifikasikan penyakit paru-paru menggunakan metrik evaluasi seperti, akurasi, presisi, recall, dan F1-score.  Setelah hyperparameter tuning, XGBoost menunjukkan hasil terbaik dengan akurasi 94,44%, presisi 94,98%, recall 94,44%, dan F1-score 94,41%, menunjukkan keseimbangan optimal antara presisi dan recall. Random Forest juga memberikan hasil yang sebanding dengan XGBoost dengan akurasi dan presisi yang tinggi. Sementara itu, Logistic Regression menunjukkan keterbatasan dalam menangani data yang kompleks, dengan performa yang lebih rendah pada seluruh metrik evaluasi. Penelitian ini menunjukkan bahwa algoritma berbasis pohon keputusan seperti XGBoost dan Random Forest lebih unggul untuk klasifikasi penyakit paru-paru, menjadikannya metode yang lebih andal untuk mendukung deteksi dini penyakit ini.
 
Kata kunci: Hyperparameter Tuning, Logistic Regression, Penyakit Paru-paru, Random Forest, XGBoost.

Konsep Orientasi Pelanggan sangat penting bagi perusahaan untuk berkembang di era saat ini, dengan memanfaatkan teknologi untuk mendapatkan wawasan yang mendalam tentang perilaku pelanggan mereka. Salah satu alat teknologi tersebut adalah pembelajaran mesin, khususnya yang menggunakan pendekatan pemrosesan bahasa alami (NLP). Penelitian ini menggunakan lima algoritma yang berbeda dan menggabungkan berbagai metode untuk meningkatkan kinerja model machine learning. Melalui penerapan teknik-teknik seperti random over-sampling (ROS) dan ensemble learning, akurasi prediksi keseluruhan untuk kelas minoritas meningkat secara signifikan. Model ensemble yang diintegrasikan dengan ROS mencapai akurasi 0,90 dan mean square error 0,91, mengungguli algoritma lain yang diuji dalam penelitian ini. Pendekatan yang dioptimalkan ini tidak hanya menunjukkan keefektifan pemanfaatan teknologi untuk sebuah perusahaan dapat menerapkan strategi yang berpusat pada pelanggan, tetapi juga menyoroti pentingnya peningkatan metodologi dalam pemodelan prediktif untuk keberlanjutan bisnis.
 
Kata kunci: Klasifikasi Emosi, Pembelajaran Mesin, Pemrosesan Bahasa Alami, Hard Voting, Random Over Sampling.

In the era of globalisation and rapid technological development, developing the competencies of teachers and education staff is key to improving the quality of education. This article discusses various strategies for competency development in education human resource management (HRM), with a focus on teachers and education staff. Adopting an evidence-based approach identifies effective methods for training and professional development, including the utilisation of technology, online courses, and experiential learning. In addition, it explores the critical role of constructive feedback and continuous evaluation in the competency development process. The research underscores the importance of integration between HRM theory and daily educational practice to achieve optimal results. The results of this article are expected to provide practical guidance for educational institutions in designing effective development programmes to improve teacher and staff performance and advance the education system as a whole.

Protected forests play a crucial role in preserving biodiversity and mitigating climate change. However, these areas face increasing threats from illegal activities, such as logging and land encroachment, which compromise environmental stability and result in significant economic losses. This study evaluates the implementation of criminal law in addressing environmental crimes within Indonesia's protected forest areas, focusing on the effectiveness and challenges encountered in enforcement. A qualitative ethnographic approach was employed, involving direct observation, in-depth interviews, and focus group discussions (FGDs) with local communities, law enforcement officials, and other stakeholders. The findings reveal that the effectiveness of law enforcement is hindered by several key factors: economic dependency on illegal activities, limited capacity and resources of law enforcement agencies, and external pressures from vested interests. Additionally, the lack of public awareness and inconsistent legal implementation exacerbate these challenges. Despite existing regulations, enforcement remains insufficient to deter environmental crimes or provide lasting protection for critical ecosystems. This study contributes to the understanding of the socio-economic and cultural dynamics that influence the effectiveness of environmental law enforcement. It underscores the need for a holistic strategy that integrates legal, economic, and community-based approaches. Recommendations include strengthening the capacity of law enforcement agencies, fostering public awareness through educational programs, and involving local communities and traditional leaders in collaborative conservation efforts. By addressing these gaps, the research provides actionable insights to enhance the preservation of protected forests in Indonesia and supports the development of more sustainable and inclusive environmental policies