This research aims to analyze the comparison of lowland rice harvest costs between traditional methods and the use of combine harvester technology in Padang Siring Village, Seginim District, South Bengkulu Regency. A total of 56 farmers were research respondents, consisting of 28 farmers using combine harvesters and 28 farmers using traditional methods. Primary data was collected through observation and interviews, while secondary data came from related agency documents. The research results show that the average cost of harvesting using traditional methods reaches IDR 2,560,000, while the cost of harvesting using a Combine Harvester is IDR 1,865,000, with a cost difference of IDR 695,000. Combine Harvester provides higher cost efficiency because it only requires IDR 500/kg for production wages and harvest time is shorter, namely one day for one hectare. In contrast, traditional methods require more labor and time, so they are more expensive. Reasons why farmers choose traditional methods include muddy land conditions, narrow rice fields, and inconsistent harvests. This research concludes that the use of a Combine Harvester is more efficient in terms of cost and time, but its implementation is still hampered by land conditions. It is hoped that this study can become a reference in encouraging the adoption of appropriate technology in the agricultural sector to support sustainable food self-sufficiency.

Currently, the Amikom University Purwokerto student portal is still not equipped with a student data search feature that can make it easier to access related information. The unavailability of this feature can provide significant obstacles to various students' daily activities, especially in activities such as academic research, collaborative group work across study programs, and interactions between departments. The aim of this research is to apply the TOGAF framework which is expected to be able to help identify the root of the problem and provide a more comprehensive, systematic and effective solution in an effort to improve the functionality of this portal, so that it can better support students' academic needs. This research uses the TOGAF method which includes Understanding Business Context, Vision Architecture, Definition Architecture, and Transition Architecture. The result of this research is a flowchart design for the student data search feature which was created and analyzed using the Bizagi Modeler application which was compared between the design and the current process. Based on the results, it shows that the design of the student data search flow through Student Amikom Purwokerto is much faster and more efficient because the data search time is reduced from 40 minutes to 3 minutes.
 

During this time, the development of technology has progressed rapidly.  In this sense, many companies have followed this technological development and introduced it into the collection of inventory data of assets, goods, and their financial reports. To obtain accurate and precise data, an inventory data collection system is required. Manual accounting calculations mean that Depot Kayu Kusen Laris III often records inventory incorrectly, which affects the resulting financial reports. Therefore, this study aims to develop an inventory information system that will support accurate data collection at Kayu Kusen Laris III Depot. The conclusion of this study is that the inventory data information system is designed using Access and SQL database.

Hypertension is one of the non-communicable diseases that poses a global health problem and is a leading cause of death worldwide, including in Indonesia. According to the 2018 Riskesdas data, the prevalence of hypertension in Indonesia reached 34.1%, with most cases occurring in the elderly. Addressing this issue requires a multidisciplinary approach and community empowerment. This study was conducted in RW 01, Kahuripan Village, Tawang District, Tasikmalaya City, aiming to enhance community awareness and skills in managing hypertension through education and the utilization of celery plants.The method used was a participatory descriptive approach. Data were collected through observations, in-depth interviews, and focus group discussions with community leaders and Posyandu cadres. Activities included education about hypertension, distribution of celery plants, and monitoring the community's application of the knowledge gained. Data analysis was conducted qualitatively to evaluate community responses and behavioral changes. The results showed a positive response from the community. Participants actively engaged in the educational sessions, started planting celery at home, and demonstrated increased awareness to regularly check their blood pressure at Posbindu. The education provided successfully improved the community's understanding of hypertension and the benefits of a healthy lifestyle. This study concludes that community-based empowerment is an effective strategy for addressing local health problems sustainably.

In the rapidly evolving digital era, the use of mobile applications has become a fundamental necessity across various sectors, including the construction industry. PT Home Center Indonesia, which specializes in providing and installing furniture for building projects, faces challenges in the QC Pass Land recording process, which is currently done manually. This practice poses risks of data loss, miscommunication with vendors, human errors, and data invalidity, ultimately disrupting work efficiency. This study aims to develop a mobile application to replace the manual recording system in the QC Pass Land process for the Sky House BSD project. The application is designed to enhance the efficiency, accuracy, and reliability of data recording while minimizing the risk of information loss through the implementation of a structured digital system. Additionally, the application is equipped with a feature that allows the inclusion of photo evidence, thereby improving data validity. The results of developing this mobile application are expected to accelerate the recording and furniture installation process, reduce the time required for data verification, and provide a solution that can be implemented in future projects. Through this practical work, the implementation of the application is anticipated to run effectively and contribute significantly to improving the QC Pass Land process at PT Home Center Indonesia.

The purpose of this study was to determine whether there is an effect of Earning Per Share (EPS), Return on Equity (ROE) and Net Profit Margin (NPM) on Stock Returns in the transportation sub-sector listed on the Indonesia Stock Exchange for the 2018-2021 period.The research method used is quantitative method, and uses a research population of 9 transportation companies. The sample technique used is purposive sampling method, the data in this study are financial statements in the form of ratios that represent each research variable and are processed using the SPSS Version 26 instrument measuring tool, the results of the t test (partial) Earning Per Share (EPS) hypothesis test research obtained that the tcount value < t table (0.559 < 2.036), with a sig value of (0.580 > 0.05) then H0 is accepted and HI is rejected. The t test (persial) Return On Equity (ROE) obtained that the value of tcount < ttable (-0.377 > 0.05), with a sig value of (0.580 > 0.05), then H0 is accepted and HI is rejected (-2.036) with a sig value of (0.709> 0.05), then H0 is accepted and HI is rejected. The t test (persial) Net Profit Margin (NPM) obtained tcount < ttable (0.952 < 2.036) with a sig value of (0.348 > 0.05), then H0 is accepted and HI is rejected, Based on these results it can be concluded that Earning Per Share (EPS), Return On Equity (ROE) and Net Profit Margin (NPM) have no significant negative effect on Stock Returns.

This study aims to evaluate effectiveness of health education on public perception and knowledge regarding the use of garlic extract to reduce cholesterol in Suco Seloi Malere Aldeia Namanei Posto Administrativo Aileu Municipiu Aileu in 2024. This research uses a quasi-experimental design with a pretest-posttest approach. Data was collected from the community in Suco Seloi Malere Aldeia Namanei Posto Administrativo Aileu Municipiu Aileu in 2024 through questionnaires before and after being given health education.  Before education, 62% of respondents had moderate knowledge; After education, 64% of respondents had high knowledge about the use of garlic extract to lower cholesterol. Before education, 60% of respondents had a moderate perception; After education, 62% of respondents showed an increase in perception to high perception. Before education, 38% of respondents had little experience, after education, 98% of respondents had good experience regarding the use of garlic extract to lower cholesterol. Before education, the majority of respondents (60%) had a secondary education level. After education, the proportion of respondents with a secondary education level remained stable at 60%. Before education, 40% of respondents felt a high cultural influence regarding the use of garlic extract. After education, this figure increases to 70%.  The health education provided is effective in increasing public knowledge and perception regarding the use of garlic extract to lower cholesterol.

This work explores the potential of PennyLane and variational quantum-classical algorithms (VQCA) to forecast lung cancer using a structured dataset. The VQCA model performs exceptionally well, with flawless training, validation, and test accuracies of 1.0, demonstrating its capacity to identify patterns in the dataset and provide reliable predictions successfully. Contrarily, the accuracy of the quantum neural network (QNN) and classical neural network (NN) models is lower, demonstrating the benefits of utilizing quantum computing methods for enhanced predictive modeling. We provide a complete examination of the data, stressing the better performance of the VQCA model and its promise in correctly predicting lung cancer. The results highlight the importance of quantum-classical algorithms and help us understand the benefits and drawbacks of various strategies for predicting lung cancer. The study highlights the potential applications of quantum computing techniques in advancing the field of healthcare analytics. It shows the capability of the VQCA model to predict lung cancer using a tabular dataset accurately. Further research in this area is needed to explore scalability and practical implementation aspects. In summary, this study showcases the potential of VQCA and PennyLane in predicting lung cancer and underscores the benefits of quantum computing techniques in healthcare analytics.

Domestic violence is a critical and increasing issue in Indonesia, as recorded by the National Commission on Violence Against Women. The government has addressed this issue by enacting Law Number 23 of 2004 on the Elimination of Domestic Violence (UU KDRT). This study aims to analyze the legal protections provided to DV victims under the law, identify implementation challenges, and evaluate improvement efforts. Using a qualitative approach with normative juridical methods, the research examines the provisions of UU KDRT and its practical application. The findings reveal that despite comprehensive protections, barriers such as patriarchal culture, social stigma, and limited protective infrastructure significantly hinder effectiveness. Policy reform, capacity building for law enforcement, and strengthening victim support infrastructure are proposed as key strategies. The study highlights the importance of cross-sectoral synergy to enhance the implementation of UU KDRT and ensure more effective legal protection for DV victims.

The rise of trademark and copyright issues in Indonesia is related to the reality of globalization in modern trade, because inventive progress often causes plagiarism difficulties and challenges the legal framework of modern intellectual property rights. In the case of Ruben Onsu and Geprek Bensu, this journal attempts to answer several issues from the problem. The research method used is juridical-normative with a qualitative approach to explore data and analyze related legal norms. This study explores copyright protection in the culinary industry, the tension between name ownership and trademark rights. This journal will focus on the urgency of trademark registration and how to resolve the Geprek Bensu dispute.