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Land rights disputes arising from overlapping land certificates remain a complex agrarian law issue frequently encountered in Indonesia. This phenomenon reflects weaknesses in the land administration system, particularly in data collection, land measurement, and certificate issuance. Such disputes create conflicts, legal uncertainty, and reduced public trust in the land registration system. In practice, these disputes are generally resolved through civil litigation procedures in the District Court. This study aims to comprehensively analyze civil procedural law in resolving land rights disputes involving overlapping certificates and to examine the evidentiary strength of land certificates in judicial proceedings. This research employs a normative legal method using statutory and conceptual approaches, supported by primary and secondary legal materials. The findings indicate that dispute resolution begins with the filing of a lawsuit, followed by mediation, court examination, and the evidentiary process as the most crucial stage in determining lawful ownership. Land certificates serve as strong evidence; however, they are not absolute, as they may be challenged if administrative or substantive legal defects are identified. Judges play a central role in assessing certificate validity by considering land history, physical possession, good faith, and compliance with legal procedures. Nevertheless, the effectiveness of dispute resolution still requires improvement through better land administration, enhanced data accuracy, and stronger institutional integration.

This study examines the increasing incidence of land disputes in Indonesia, particularly those arising from unlawful acts in the form of unauthorized land occupation, which generate legal uncertainty and result in both material and immaterial losses for rightful landowners. The growing number of such cases highlights the urgent need for fair and firm legal protection, especially when land occupation has occurred over a long period and complicates the recovery of ownership rights. This research specifically analyzes Decision Number 267/Pdt.G/2020/PN Kpg, a case involving the occupation of part of the plaintiff’s certified land by the defendant. The general objective of the study is to gain a comprehensive understanding of the legal mechanisms for restoring land rights affected by unlawful land occupation, while the specific objectives are to identify the form of the unlawful act committed and to analyze the legal process used to recover the disputed land rights. The research employs a normative legal method based on the analysis of secondary data, including legislation, legal doctrines, and court decisions. The approaches applied consist of statutory, conceptual, and case approaches, using juridical-descriptive analysis techniques. The findings are expected to identify unauthorized land occupation through boundary expansion as a form of unlawful act and to explain the recovery mechanism through civil litigation and the validation of land boundary re-measurement reports. This study is expected to contribute theoretically to agrarian and civil law development and practically to improving land dispute resolution procedures and public legal awareness.

Oxygen is vital therapy where delivery accuracy is crucial, especially for infant patients, to ensure treatment effectiveness and prevent the risks of hypoxia or toxicity. With the implementation of the mandatory Domestic Product Utilization Policy (TKDN+BMP ≥ 40%), evaluating the quality of local products has become an urgent necessity. This study aims to test and analyze the quality and accuracy of domestically produced infant oxygen flowmeters compared to an imported product. The method used was experimental testing, measuring three brands of domestic products and one brand of foreign product at flow rate settings of 0.5, 1, 1.5, and 2 liters per minute (LPM). Each setting point was measured 10 times using a standardized calibrator to ensure data reliability. The measurement results were analyzed to identify the deviation level of each product. The findings of this study are expected to provide an objective conclusion on the quality equivalence of domestic products with imported ones and to identify which product has the lowest deviation rate. This can serve as scientific consideration for hospitals in selecting high-quality infant oxygen flowmeters, thereby supporting the domestic product policy.

Global economic uncertainty has raised concerns among the public, triggering actions to secure economic stability by investing, especially in gold and bitcoin. This study uses a comparative quantitative method, with the aim of comparing the returns, risks, and performance of the two investment instruments. The population in this study is in the form of data on the monthly closing prices of gold and bitcoin for the period of January 2019 – April 2025 which totals 152 data, consisting of 76 data from each variable. Data analysis was carried out by calculating returns, risks, Sharpe, Treynor and Jensen indices. The three indices are widely used performance measurement methods and have included return and risk factors in their measurements. The results of this study show that there is a significant difference between the return of gold and bitcoin, while for the risk variable between the two, there is no significant difference. Performance based on the Sharpe method also showed no significant difference between the two. However, for performance measurement using the Treynor and Jensen methods, significant differences were obtained between the two instruments. Overall, bitcoin offers higher profit potential than gold, even more so for investors who can accept high volatility. However, the decision to choose an investment instrument still depends on the risk profile of each investor.

CT Scan calibration is necessary to ensure the accuracy, consistency, and reliability of the medical imaging results used in the diagnosis process. This study aims to find out the calibration procedure and analyze the data of the calibration results of the Siemens SOMATOM go CT Scan. TOP at Banyumas Hospital. The test method refers to the Ministry of Health's CT Scan Testing Working Method No. MK: 056-18, which is the standard in evaluating the performance of CT Scan equipment. The parameters tested included the percentage of tube voltage error (kVp) and the quality of the X-ray beam represented by the Half Value Layer (HVL) value. The results of the measurement of the error percentage at various kVp points show a range of 0.37–0.88%, which is still within the tolerance limit set by the national standard. In addition, the results of the HVL test at voltages of 120 kVp and 140 kVp also showed values that were above the minimum required limit, so that the quality of the X-ray beam was considered to meet the requirements. Based on the overall test and analysis results, the Siemens SOMATOM CT Scan go. TOP is declared feasible, safe, and good to use because all performance parameters of the tool have met applicable standards.

Background: The rapid growth of warehouse automation and autonomous mobile robots has increased the need for adaptive navigation systems capable of operating safely and efficiently in dynamic industrial environments. Classical path planning algorithms such as A* and RRT perform well in structured settings but exhibit limitations when handling moving obstacles and environmental uncertainty. Objective: This study aims to develop and evaluate a reinforcement learning based navigation framework integrated with sensor fusion to improve path efficiency, collision avoidance, and robustness in dynamic warehouse scenarios. Method: An experimental research design was implemented combining high-fidelity simulation and real-world warehouse prototype testing. Deep Q-Network and Proximal Policy Optimization models were developed and trained using multi-sensor inputs from LiDAR, camera, and inertial measurement units. Performance was evaluated using path efficiency, collision rate, computational cost, and robustness metrics, with benchmarking against classical algorithms. Results: The results demonstrate that the Proximal Policy Optimization model achieved the highest path efficiency and lowest collision rate while maintaining stable computational performance under dynamic conditions. Reinforcement learning models significantly outperformed classical planners in adaptability and robustness, confirming their suitability for scalable industrial warehouse automation.

An analysis of the uncertainty value of measuring spur gear dimensions using a profile projector has been carried out. Dimensions of spur gears measured are pitch diameter, root diameter and outside diameter. The manufacture of 3 samples of spur gears was first made with a shape milling machine based on the initial technical data that had been determined. Then measurements were made with a profile projector measuring instrument for the three measuring dimensions, the best repeated measurement average was found in the root diameter measurement for the PJ01 sample of 32.4053 mm with a standard deviation of 0.0077 mm. The uncertainty method used is statistically and applies only to a series of observations. Determination of the uncertainty value is done by performing repeated measurements five times on the same sample. This method refers to ISO GUM with type A evaluation. The uncertainty value obtained for the best measurement is 0.0034 mm with an expanded uncertainty of 0.0068 mm with a 95% confidence level.