Indonesian Migrant Workers (PMI) abroad often face various social, legal, and cultural challenges that can increase their vulnerability in everyday life. One effort to minimize these vulnerabilities is through the establishment of regional community organizations as a platform for solidarity, advocacy, and cultural identity preservation. This community service activity aims to assist in the formation of the Ikatan Warga Ponorogo di Hong Kong (IWPH) — an association of PMI from Ponorogo working in Hong Kong. The methods employed include community needs assessment, facilitation of organizational meetings, formulation of organizational statutes and bylaws, and basic community-based advocacy training. The results of this activity showed high enthusiasm among PMI from Ponorogo to participate in this community as a forum for sharing information, social protection, and preserving regional cultural traditions abroad. Moreover, IWPH has begun to actively voice issues faced by PMI, such as overcharging, gender-based violence, and unclear employment contracts. The establishment of IWPH is expected to serve as a model for strengthening social networks and advocacy based on regional community groups, enhancing the bargaining power of Indonesian migrant workers abroad. This activity also reflects the contribution of higher education institutions in supporting the protection and empowerment of Indonesian migrant workers in various destination countries.

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).

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.

Based on the Qur'an and Hadith, this study investigates how Islamic teachings prohibit usury. Usury is an economic practice that damages the financial system. This study aims to provide an explanation of the meaning, legal status, and interpretation of the verses of the Qur'an and Hadith related to usury. This study analyzes the concept of usury and its types in contemporary financial transactions using a qualitative descriptive approach and literature study. The results of the study indicate that many communities, including Islamic communities, still do not understand the meaning of usury and its effects. Consequently, comprehensive education is essential to eliminate usury and support the development of a just and sustainable Islamic economic system.

This study aims to determine the effect of the number of MSME units and the labor force on economic growth (GRDP) in Gorontalo City. The study method used is quantitative, with data analysis techniques employing classical assumption test and hypothesis testing, and analyzing the data using multiple linear regression analysis with the assistance of IBM SPSS 21 software. The data used in this study include secondary data obtained from the Statistics of Gorontalo City and the Department of Manpower, Cooperatives, and MSMEs of Gorontalo City. This study consists of a dependent variable, which is the economic growth (GRDP) of Gorontalo City, and independent variables, which are the number of MSME units and the labor force during the period of 2020-2024. The results indicate that simultaneously, the variables of the number of MSME units and the labor force affect economic growth (GRDP) in Gorontalo City significantly. The variable of the number of MSME units, when considered individually, has a positive and significant effect onn economic growth (GRDP) in Gorontalo City. Meanwhile, the labor force variable has a positive and significant effect economic growth (GRDP) in Gorontalo City.

This research is a qualitative descriptive study which aims to describe and analyze politeness in language between characters and then describe the problem as a meaning or new information through the Maxims of content in the Novel Suluh Rindu. The data source for this research is to know the contents of the Novel Suluh Rindu, namely there are 6, then the data collection technique in this research uses reading techniques and note-taking techniques. The data analysis techniques in this research are data reduction, data presentation, and drawing conclusions. The results of this research show 1) The wisdom Maxim (tax Maxim) 2) Generosity Maxim  3) Approbation Maxim contained 4) The Modesty Maxim 5) The sympathy Maxim contained in the novel Suluh Miss by Habiburrahman El Shirazy means that in this 6) The Maxim of Agreement (agremeent Maxim) contained in the novel suluh longing by Habiburrahman El Shirazy means that in this novel it functions as a reminder of the importance of tolerance and respect for differences of opinion. By agreeing with other people's opinions and beliefs, we can show that we respect them.

The Perintis Lake area in Bone Bolango Regency, Gorontalo Province, faces a growing conflict between tourism investment and environmental conservation. This study aims to analyze the impact of tourism infrastructure development on the lake’s ecosystem, highlight the importance of conservation, and provide strategic recommendations for sustainable tourism development. Using a qualitative-descriptive approach, the research is based on field observations, literature review, and regional policy analysis. Findings show that unregulated investment activities, particularly constructions along the lake's buffer zone, have led to environmental degradation, such as water pollution, habitat loss, and ecological imbalance. Conservation efforts remain fragmented and lack integration into broader development planning. The study recommends the implementation of sustainable spatial planning policies, stricter environmental regulations, and active community involvement. Collaborative governance between local authorities, private investors, and environmental stakeholders is essential to ensure that economic development aligns with ecological preservation. Striking a balance between investment and conservation is key to maintaining Perintis Lake as a resilient ecotourism destination for future generations.

The purpose of writing this review article is to analyze the formulation and evaluation of the use of various additives in effervescent tablets. The method used is a literature review taken from journals and other relevant research results regarding the formulation and evaluation of additives in various types of effervescent tablets. The purpose of this analysis is to provide a summary of relevant publications and to improve current understanding in this field. The importance of the formulation and evaluation of additives in effervescent tablets cannot be ignored, because it is a crucial aspect in product development. Decisions in the use of additives must consider the objectives to be achieved, the desired physical characteristics, product stability, and the level of consumer acceptance. With a deep understanding of this formulation and evaluation, we have the potential to produce high-quality effervescent tablets. Variations in additives can also provide different taste and texture characteristics, which of course can affect consumer acceptance.
 

This study examines the competitive strategy of KSPPS Hanada Quwais Sembada Kebasen amidst intense competition in the microfinance sector, particularly against BPR Bank Surya Yudha Patikraja and PNM Mekar Sampang, which have advantages in technology and service coverage. This theme is chosen due to the importance of understanding the competitive position of community-based Islamic cooperatives to remain viable in the local market. This research employs a case study method with a qualitative descriptive approach. Data collection is conducted through interviews, observations, and documentation, which are then analyzed using the Competitive Profile Matrix (CPM) tool to assess the strengths and weaknesses of KSPPS Hanada relative to its main competitors, based on key factors such as market reputation, service quality, territorial coverage, product innovation, and technology utilization. The research findings indicate that KSPPS Hanada Quwais Sembada has advantages in market reputation, personalized service quality, and closeness to its members, but still lacks in territorial coverage and digital technology adoption. In conclusion, KSPPS Hanada Quwais Sembada needs to enhance innovation and service digitalization to compete better in the increasingly dynamic microfinance sector..

This study develops an image processing application to automatically detect the ripeness level of tomatoes using the YCbCr color space transformation. This method is effective because it is able to separate the luminance and chrominance components, so it can identify color changes that indicate the ripeness level of tomatoes, namely unripe, semi-ripe, and ripe tomatoes. The application is designed with matlab and uses a GUI interface that makes it easy for users to upload and process images. Based on trials on image samples, the system is able to classify tomato ripeness with 100% accuracy on a limited test dataset. The classification process is based on three main parameters: the red area ratio, the average value of the Cr channel, and the average value of the Cb channel. The results of the study indicate that this approach can be used as a digital solution in the automatic and efficient tomato sorting process