Coronary heart disease (CHD) remains a leading cause of mortality worldwide. Early detection is essential to reduce complications and improve patient outcomes. This study aims to develop a classification model using machine learning algorithms to predict CHD risk based on clinical symptoms. The dataset used is the Cleveland Heart Disease dataset from the UCI Machine Learning Repository, consisting of 303 patient records with 14 clinical features. The preprocessing stage involved handling missing values, normalizing features, and transforming categorical variables. Four classification algorithms were applied: K-Nearest Neighbors (K-NN), Decision Tree, Random Forest, and Support Vector Machine (SVM). Each model was trained using stratified 10-fold cross-validation to ensure generalizability. Evaluation using accuracy, precision, recall, F1-score, and ROC-AUC metrics showed that the Random Forest algorithm achieved the highest performance with 87.2% accuracy. Feature importance analysis indicated that chest pain type, resting blood pressure, cholesterol, and ST depression were the most influential indicators. These results demonstrate that machine learning, particularly Random Forest, can effectively support early diagnosis of CHD in clinical settings and has the potential to be integrated into clinical decision support systems (CDSS).

Remote islands in Indonesia face significant challenges in achieving sustainable electricity supply. This study analyzes the technical and economic feasibility of implementing a hybrid Solar Power Plant (PLTS) and Wind Power Plant (PLTB) system on Dudepo Island, North Gorontalo Regency. With an average solar radiation of 5.2 kWh/m²/day and wind speed of 4.8 m/s, the hybrid system is designed to supply approximately 97% of local electricity demand with an efficiency of 85%. Simulations using HOMER Pro reveal an optimal configuration of 100 kW PLTS, 60 kW PLTB, and 300 kWh battery storage. Economic analysis indicates a Levelized Cost of Energy (LCOE) of IDR 1,450/kWh, more affordable than conventional diesel generators, with an eight-year payback period. The system’s implementation has enhanced community well-being by providing stable electricity access for education, healthcare, and economic activities. Moreover, it contributes to carbon emission reduction by up to 120 tons of CO? annually. Technical challenges and local human resource capacity necessitate sustainable management strategies, including technician training and IoT-based monitoring systems. This study offers recommendations for sustainable renewable energy development on remote islands as a model for environmentally friendly energy transitions.

The buffer zone of BJ. Habibie Grand Forest Park (Tahura) in Bihe Village, Asparaga District, plays a strategic role in balancing environmental conservation and community agricultural activities. However, the widespread practice of monoculture corn farming and land clearing through burning threatens ecosystem sustainability and accelerates environmental degradation. This study aims to analyze farmers’ perceptions of buffer zone management and to identify the challenges and potential for transitioning to sustainable agricultural systems. A descriptive qualitative and quantitative approach was used through field observations, in-depth interviews, questionnaires, and document analysis. The findings indicate that most farmers possess basic awareness of the importance of conservation areas, but there are notable knowledge gaps regarding regulations and environmentally friendly practices. Although some farmers acknowledge the negative impacts of land burning and monoculture, economic limitations, inherited customs, and lack of technological support remain significant obstacles. Nevertheless, respondents expressed a high willingness to change their farming practices if provided with training and incentives. This study recommends a participatory strategy involving government bodies, conservation institutions, and academics to build farmers’ capacity and promote the adoption of sustainable agricultural technologies. A collaborative approach that considers the socio-economic realities of local communities is essential to ensure the long-term sustainability of the BJ. Habibie buffer zone without compromising farmers’ welfare.

Tenure conflicts in forest areas are long-standing structural issues in various regions of Indonesia, including Popayato Sub-district in Gorontalo Province. These conflicts arise from overlapping land claims between local communities, companies, and the state, directly affecting the socio-economic and ecological conditions of surrounding populations. This study aims to analyze the social and environmental impacts of tenure conflicts in Popayato's forest areas and assess the roles of stakeholders in seeking sustainable solutions. A qualitative case study approach was applied through in-depth interviews, field observations, and thematic analysis. Findings reveal that communities face restricted access to productive land and forest resources, disrupting livelihoods and local cultural sustainability. Ecologically, tenure disputes have triggered illegal land clearing and significant forest degradation. Local governments have made mediation efforts, yet face challenges in coordination and policy inconsistency. Civil society organizations play a crucial role in advocating community rights through participatory mapping and the promotion of legal recognition via social forestry schemes. This study recommends resolving tenure conflicts through collaborative approaches that uphold principles of social and ecological justice, including strengthening local institutions, participatory boundary mapping, and developing inclusive conservation-based business models. In doing so, sustainable forest management can be achieved by recognizing local rights and enhancing community participation in decision-making processes.

The development of social media has a major influence on the lives of Muslim adolescents, especially in shaping their understanding and practice of religion. This study uses a semi-structured in- depth interview method with 10 adolescents aged 15-19 years in Jakarta and surrounding areas to explore the meaning of religion in the context of social media. The results show that religion is seen as a source of peace, moral guidance, and social identity, while social media acts as a means of education as well as a source of challenges in religious practice. This study concludes that critical guidance on the use of social media is needed by families and educators so that adolescents can interpret religion in a healthy way in the digital era.

Micro, Small, and Medium Enterprises (MSMEs) have a significant role in the economy, including MSMEs in the culinary sector such as Putri Ice Cream Business. Decision making related to optimal resource allocation is crucial to increase the efficiency and profitability of MSMEs. This study aims to apply the linear programming method with the primal simplex algorithm to minimize production costs in the case study of Putri Ice Cream MSME. The objective function is to minimize the total production cost, as well as the limitations related to the availability of main raw materials and machine production capacity. Data on main raw materials and machine production capacity were obtained from the Putri Ice Cream MSME which was the case study. The results of the study show that the application of the primal simplex method produces an optimal solution that provides recommendations for product combinations for each type of Putri Ice Cream with minimal production costs. Sensitivity analysis was also conducted to test the stability of the optimal solution to changes in capital. This study provides a practical contribution to Putri Ice Cream MSME in optimizing their resource allocation and increasing cost efficiency through a quantitative approach.
 
 

This study aims to design and develop a web-basedinventory information system to improve stockmanagement and transaction recording efficiency atToko Sahabat. The main issues faced include frequentcashier system failures resulting in manualtransactions, stock data inaccuracies, and delayedsales reporting. The research employed the RapidApplication Development (RAD) method to enable fastand iterative system development based on userfeedback. Key features include user management,automatic stock tracking, real-time transactionrecording, and sales reporting. Using PHP, MySQL,and Bootstrap, the system significantly improvesoperational efficiency, reduces stock recording errors,and accelerates reporting. Implementation of thissystem supports better data-driven decision-making forToko Sahabat.

Exploitation of mineral resources through mining activities in Indonesia provides significant economic benefits, but also causes various negative impacts on the environment and socio-economic life of local communities. This study aims to review the impacts of various types of mining activities such as sand, coal, and gold. Common environmental damages include deforestation, soil erosion, water, soil, and air pollution, and decreased biodiversity. Socio-economically, mining increases social conflict, health problems, and changes in people's livelihoods. Effective management efforts include law enforcement against illegal activities, implementation of reclamation and rehabilitation, application of impact mitigation technology, and active involvement of local communities in environmental management. Consistent implementation of policies and mitigation measures is key to achieving a balance between economic benefits and environmental sustainability.

This study analyzes the impact of employee welfare on working conditions at PT P, focusing on welfare policies and facilities such as health insurance, employment insurance, on-site clinic services, maternity leave, workload balance, and working hours. Using a qualitative descriptive method, data were collected through interviews and direct observation of several employees. The findings show that company-provided welfare positively influences working conditions. Health facilities and work protection increase employees' sense of security and comfort. In addition, fair working hours, sufficient rest time, and attention to both physical and psychological well-being enhance work motivation and employee loyalty. Employees feel appreciated when the company supports work-life balance, leading to a more productive, harmonious, and low-conflict work environment. The study concludes that employee welfare is a key factor in shaping the quality of the workplace. 

Land degradation due to intensive agricultural practices is a serious issue threatening food security and ecosystem balance. Monoculture farming systems often lead to soil fertility decline, increased erosion, and reduced soil biodiversity. As an alternative, agroforestry has been developed to enhance agricultural productivity without compromising soil health. Agroforestry integrates agricultural crops with trees or other woody plants in a mutually beneficial system. Several studies have shown that agroforestry improves soil organic matter content, retains soil moisture, and reduces erosion and nutrient loss. This study employs a literature review method to analyze the effectiveness of agroforestry in improving soil health and agricultural productivity. Agroforestry has been found to enhance agricultural productivity through crop diversification, efficient land use, and climate change mitigation. Diversification not only strengthens food security but also increases farmers’ income by minimizing crop failure risks and enhancing nutritional value. Additionally, agroforestry optimizes land use by improving yield per unit area and reducing environmental degradation through natural resource conservation. Agroforestry also plays a crucial role in mitigating climate change by increasing ecosystem resilience, sequestering carbon, and reducing extreme weather impacts. However, the adoption of agroforestry faces challenges, including a lack of farmers’ knowledge, limited policy support, and varying environmental conditions. Addressing these barriers through improved education, supportive policies, and sustainable resource management can accelerate agroforestry adoption. With broader implementation and strong policy support, agroforestry can drive agricultural sustainability and enhance community well-being.