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The rapid expansion of digital technology has intensified the circulation of pornographic content, making it increasingly accessible across various online platforms and posing significant risks to social, psychological, and moral stability. This study aims to examine the underlying factors contributing to the spread of pornographic content, its impact on individuals and society, and the urgency of strengthening regulatory and preventive measures. Using a qualitative approach supported by interviews and questionnaires distributed to university students in Jatinangor and Bandung, the research explores public perceptions, access patterns, and social responses regarding pornography in digital spaces. The findings reveal that most respondents consider pornography dissemination a deviant behavior, with economic motives and revenge-driven actions emerging as predominant driving factors. The study also shows that existing legal regulations are perceived as insufficient in mitigating the rapid growth of pornographic content online. These results highlight the importance of enhancing digital literacy, strengthening law enforcement, and promoting moral education to reduce the risks associated with pornography exposure. The study contributes to a deeper criminological understanding of deviant behavior in digital environments and underscores the need for collaborative societal efforts to address this phenomenon.

Marriage is a basic human need that involves an official agreement between husband and wife, regulating rights and obligations, including the ownership and management of joint property. Under Indonesian law, property acquired during marriage is considered joint property, which often becomes a source of conflict during divorce. To prevent this, Indonesian law recognizes the existence of a marital separation of property agreement, which regulates the separation of assets between spouses from the beginning, whether before or during marriage. A separation of property agreement provides legal protection for personal assets, protects one party from being liable for the partner’s debts, and reduces the potential for disputes during divorce. Therefore, it is important for the public to receive socialization and legal education about the separation of property agreement in marriage to increase understanding of its benefits and protect the rights of married couples in both marriage and divorce. Legal education on this matter can help reduce disputes over joint property and offer better protection for couples who wish to clearly and legally manage their assets.

This research aims to test and analyze the influence of tax administration modernization, tax knowledge, tax socialization, and tax sanctions on the compliance of individual taxpayers registered at the Primary Tax Office (KPP Pratama) Atambua. This study is a quantitative research employing a descriptive approach method. The data collection technique used in this research involves distributing questionnaires via Google Form. The sampling method applied is random sampling, with a sample size of 100 individual taxpayers. The analysis method utilized is multiple linear regression analysis. The research results indicate that all four independent variables have a positive and significant influence on individual taxpayer compliance (WPOP), both partially and simultaneously. Modernization enhances compliance through the efficiency of electronic systems such as e-Filing. Knowledge strengthens reporting accuracy with a better understanding of procedures. Socialization builds motivation through easily accessible information via digital and print media. Sanctions create a deterrent effect through awareness of fines and penalties.

The criminal justice system in Indonesia is very concerned about money laundering crimes that continue to grow along with technological advances and the complexity of modern economic crimes. This study examines in depth the legal provisions related to TPPU in Indonesia, which is based on Law Number 8 of 2010 concerning the Prevention and Eradication of Money Laundering Crimes. This research aims to identify the role of prosecutors as law enforcers in applying elements of anti-trafficking at the investigation and prosecution stages, as well as to analyze various obstacles that arise in the evidentiary process in court. Using a normative juridical approach, this study utilizes literature analysis, court decision review, and evaluation of relevant legal provisions. The findings of the study show that proving preliminary crimes and the flow of funds from crimes requires public prosecutors to have a comprehensive understanding of money laundering mechanisms, including the placement, layering, and integration stages. In practice, prosecutors face various challenges, such as difficulties in tracing the origins of assets disguised through complex transactions, limited access to financial technology data, and lack of cooperation support between law enforcement and financial institutions. These obstacles often cause the proving process to be protracted and less effective. Therefore, it is necessary to increase the capacity of law enforcement officials, strengthen coordination between agencies, and use more optimal technology to support efforts to eradicate trafficking more effectively and comprehensively.

Outpatient services at community health centers experience a high and dynamic service burden influenced by evolving disease patterns in the community. However, the use of disease pattern data to support outpatient service management remains limited and is often restricted to administrative reporting purposes. This community service activity aimed to enhance the capacity of health workers and managers at Darussalam Community Health Center to utilize disease pattern data as a basis for managing outpatient service burden. A community-based participatory approach was applied through mentoring, training, and hands-on practice in data analysis using routine data from the Integrated Recording and Reporting System of Community Health Centers (SP2TP). The subjects of the activity were health workers and managerial staff at Darussalam Community Health Center. The results demonstrated an improvement in participants’ understanding and ability to analyze disease pattern data, reflected by an increase in average knowledge scores from a moderate to a high category. Behavioral changes were also observed, including increased data-based discussions, the emergence of internal change agents (local leaders), and the development of collective awareness regarding the importance of data-driven outpatient service management. This community service activity contributed to strengthening outpatient service management and fostering a data-driven work culture at Darussalam Community Health Center.

This study aims to evaluate the effectiveness of the Artificial Intelligence-Based Learning Media Development Program (P3MP-AI) in enhancing teachers’ technological and pedagogical competencies at SMK Muhammadiyah 2 Malang. The program employed a descriptive approach using both quantitative and qualitative methods, including pre-test and post-test assessments, as well as direct observation of the training process. A total of 30 teachers from various disciplines actively participated in the program conducted on August 12, 2025. The evaluation results revealed an increase in the participants’ average scores from 100 to 130 out of a maximum of 150, indicating a significant improvement in their understanding of AI concepts and applications in education. Beyond competency enhancement, the training also fostered teachers’ confidence, creativity, and ability to integrate AI-based tools into interactive learning media. However, several challenges were identified, such as limited technological resources and time constraints in classroom implementation. Overall, this program has made a tangible contribution to strengthening teachers’ digital literacy and can serve as a replicable professional development model for other vocational schools seeking to advance AI-based educational transformation.

The Motor Operated Valve (MOV) is a critical component in fluid control systems at Steam Power Plants (PLTU). Training new technicians is often hindered by limited access to actual equipment and operational safety risks. This research aims to design and develop an Arduino-based MOV control module simulator capable of simulating basic functions such as open, close, stop, and limit switch responses. The method used is Research and Development (R&D) with an experimental approach. The simulator was tested using a DC motor as the simulated valve actuator, equipped with push buttons, relays, limit switches, and indicator lamps for visual feedback. The test results showed that the simulator successfully represented control functions with 100% accuracy in limit switch responses and consistent operation. User evaluations involving ten new technicians indicated an 85% satisfaction rate in terms of ease of understanding and operational safety. This simulator has proven to be an effective, interactive, and safe learning medium for new technicians at PLTU Nagan Raya.  

This community service program was carried out to enhance the technological literacy of residents in Telang Sari Village through the introduction of an automated street lighting system based on sensor technology. The system presented to the community utilizes an Arduino microcontroller integrated with an LDR sensor to detect light intensity and an ultrasonic sensor to identify the presence of nearby objects. With this configuration, the street lights operate automatically: they turn on when the environment becomes dark and an object is detected, and turn off when the surroundings are bright or no activity is detected in the sensing area. The program activities included device installation, technical explanation, and a live demonstration to ensure that residents comprehended its functions and benefits. Additionally, the use of solar panels was introduced as an alternative power source to support sustainable operation without relying on grid electricity. The results of the program showed a positive response from the community, as the system was considered effective in improving nighttime safety, reducing energy consumption, and requiring minimal maintenance. Overall, this activity successfully increased public understanding of automation technology and renewable energy applications suitable for rural community development.

This community service program was carried out to enhance the technological literacy of residents in Telang Sari Village through the introduction of an automated street lighting system based on sensor technology. The system presented to the community utilizes an Arduino microcontroller integrated with an LDR sensor to detect light intensity and an ultrasonic sensor to identify the presence of nearby objects. With this configuration, the street lights operate automatically: they turn on when the environment becomes dark and an object is detected, and turn off when the surroundings are bright or no activity is detected in the sensing area. The program activities included device installation, technical explanation, and a live demonstration to ensure that residents comprehended its functions and benefits. Additionally, the use of solar panels was introduced as an alternative power source to support sustainable operation without relying on grid electricity. The results of the program showed a positive response from the community, as the system was considered effective in improving nighttime safety, reducing energy consumption, and requiring minimal maintenance. Overall, this activity successfully increased public understanding of automation technology and renewable energy applications suitable for rural community development.

This study investigates the impact of GeoGebra-assisted collaborative learning on students' understanding of function graphs. Function graphs are fundamental in mathematics education, yet many students struggle to grasp the relationships between variables, primarily due to traditional teaching methods that focus on procedural skills rather than conceptual understanding. To address this challenge, the study incorporates GeoGebra, a dynamic mathematics software, alongside collaborative learning strategies. The research utilizes a quasi-experimental design involving high school students who had previously struggled with function graphs. The results demonstrate that the experimental group, which engaged in GeoGebra-assisted collaborative learning, showed a significant improvement of 27% in their post-test scores, compared to just a 6% improvement in the control group using traditional methods. The study highlights the effectiveness of GeoGebra in fostering a deeper conceptual understanding of mathematical functions by enabling students to visualize and manipulate graphs interactively. Additionally, collaborative learning encouraged peer interaction, reinforcing the learning process and promoting better problem-solving skills. The findings suggest that combining interactive tools like GeoGebra with collaborative learning techniques can enhance students’ mathematical comprehension, leading to improved engagement and performance in mathematics education.

This study discusses the position of women in the creation of humankind based on Amina Wadud's feminist hermeneutics perspective as an effort to critique classical interpretations of the Qur'an that tend to be gender biased. For centuries, the tradition of interpretation dominated by male exegetes has shaped a theological understanding that places women in a subordinate and inferior position, especially in the narrative of human creation. Amina Wadud, as one of the contemporary Muslim feminists, offers a feminist hermeneutics approach that emphasizes the importance of historical context, linguistic analysis, and women's experiences in understanding the Qur'anic text in a more fair and comprehensive manner. This study specifically examines Wadud's interpretation of QS. An-Nisa 'verse 1, which states that humans were created from nafsun wahidah (one soul). Wadud asserts that this concept indicates the equality of origin between men and women, thereby rejecting the patriarchal view that women were created from men's ribs as second-class beings. The research method used was qualitative with a literature study approach, through analysis of Amina Wadud's works and relevant academic literature. The results of the study show that Wadud's feminist hermeneutics not only serves as a critique of classical interpretations that are laden with patriarchal bias, but also provides a strong theological basis for the recognition of gender equality in Islam. This approach opens up space for women to play an equal role in the social, political, and religious spheres. Thus, Amina Wadud's thinking contributes significantly to building a more inclusive, egalitarian, and gender-equitable understanding of Islam in accordance with the universal values of the Qur'an.

The capacity of village officials to understand village legislative procedures is a key factor in realizing accountable and law-based village governance. However, conditions in Tanjung Village, Pademawu District, Pamekasan Regency indicate that village officials' understanding of the village regulation drafting process is still limited, and there are no regulations regarding the management of village tourism potential. This community service activity aims to improve the legislative capacity of village officials through technical assistance in drafting Village Regulations (Perdes). The method used was a participatory approach through field observations, Focus Group Discussions (FGDs), village legal education, and assistance in drafting simple academic papers and Perdes drafts. The activity results indicate an increased understanding of legislative mechanisms among village officials and the development of a draft Village Regulation on Village Tourism Management, which has been submitted to the Tanjung Village Government as one of the main outputs. Furthermore, this activity contributed to the formation of a local legal culture and increased village government participation in the legislative process. This mentoring model can be replicated in other villages as a strategy to strengthen village governance based on regulations and local needs

This community service program aims to enhance public awareness and skills in managing household waste through an innovative recycling-based approach. The main problems identified in the target community include limited understanding of waste segregation, lack of knowledge regarding the economic potential of household waste, and insufficient skills to transform waste materials into useful products. To address these issues, the program was implemented through several stages, including an initial survey to identify community needs, environmental education and awareness sessions, hands-on training on producing recycled products, and continuous mentoring to ensure the sustainability of the activities.The results show a significant increase in participants’ knowledge of proper waste management and recycling concepts. Moreover, the community successfully produced various creative and functional recycled items such as plant pots, household crafts, and other aesthetically valuable products with economic potential. The program also facilitated the establishment of a resident group committed to continuing the initiative independently. Overall, this community service activity demonstrates that practical environmental education can effectively foster ecological awareness, strengthen community participation, and create opportunities for local economic empowerment through the utilization of household waste.

The popularity of the boys love (BL) genre, a key representation of the LGBTQ community, raises concerns about its potential negative impact on social pathology related to LGBTQ behaviors among fans. Despite the stigma labeling BL enthusiasts as exhibiting deviant sexual behavior (homosexuality), early observations and field findings show that most fans are heterosexual and do not exhibit such behavior. Instead, their engagement represents a cumulative effort to support LGBTQ representation. This research uses a qualitative case study approach, conducted on social media X over four months. Key findings suggest that the primary curative efforts by fans to address the social pathology of LGBTQ are self-control and the establishment of self-boundaries. Self-control is demonstrated through cognitive and decision-making control, while self-boundaries are seen in fans' understanding that fictional content should not be translated into heteronormative reality. Strengthening self-control and self-boundaries lays the foundation for further curative actions, preventing fans from becoming fully integrated into the LGBTQ community.

This community engagement program aims to strengthen the halal value chain of micro, small, and medium enterprises (MSMEs) in Hagu Selatan Village, Banda Sakti District, Lhokseumawe City through knowledge transfer based on the Indonesian halal value chain model. MSMEs play a vital role in regional economic development, yet many still face challenges in understanding halal–thayyiban principles, fulfilling certification requirements, managing production processes, and accessing Islamic financing. Limited adoption of digitalization also reduces their competitiveness in the rapidly growing halal industry. The program applies a participatory approach by involving universities, village authorities, and MSMEs. Key activities include needs assessment, training on halal value chain concepts, technical assistance for halal certification documents, workshops on digital business practices, and business clinics on Islamic financing. A Halal Value Chain Learning Circle is also established to support continuous collaboration and knowledge sharing. The program is expected to enhance MSME capacity, improve product quality, expand market access, and contribute to a sustainable halal ecosystem in Aceh.

This community service was carried out at SMAS PGRI 1 Mojokerto City with the main goal of improving student discipline through the application of Japanese-style discipline culture. This activity is designed in a structured manner to have a real and sustainable impact on student behavior and the integrity of educational institutions. The method used is a participatory and applicative approach, so that students not only passively receive information, but also actively engage in the process of learning, reflection, and discipline practice. This approach emphasizes the direct involvement of students in activities that foster awareness, responsibility, and positive habits that support the creation of a conducive learning environment. The results of the implementation of activities are divided into three main categories. First, the short-term results seen immediately after the activity are increased students' motivation and understanding of the importance of discipline. Second, the medium-term results that appear within 1-3 months are in the form of real behavioral changes, such as punctuality, neatness, and compliance with school rules. Third, long-term results that contribute to strengthening the integrity of the institution as a school with a high discipline image. Thus, this community service is expected to be able to become a model for implementing a discipline culture that is effective, sustainable, and relevant to the needs of education in Indonesia.

This study conducts a Systematic Literature Review (SLR) to explore the impact of users’ mental models on the implementation of Multi-Factor Authentication (MFA) as a strategy for mitigating password guessing risks in organizational environments. Amid the growing landscape of cyber threats, single-factor authentication has proven to be vulnerable, making MFA an essential layered security solution. However, the adoption of MFA remains slow. Existing studies indicate that expert users perceive MFA as a useful additional layer of verification, whereas non-expert users often view it as a burdensome task (a chore) and may even struggle to distinguish between different types of MFA. Dependence on mobile devices emerges as a common source of frustration for both groups. These findings emphasize that understanding users’ mental models is crucial for improving the implementation and usability of MFA. Innovations such as adaptive MFA or Single Input Multi-Factor Authentication (SIMFA) show potential as solutions to balance security requirements and user experience.

Infectious diseases remain a dynamic and evolving public health threat, requiring data-driven approaches for early detection and targeted policy planning. This study aims to model spatio-temporal trends and clustering patterns of HIV transmission in Bogor Regency during the period 2020–2023 by utilizing a combination of unsupervised and supervised machine learning techniques. The dataset was obtained from the Bogor Regency Health Office and includes annual data on the number of HIV cases across 40 sub-districts. The research methodology consists of data preprocessing stages, clustering using the K-Means algorithm, and classification using a Decision Tree model. The preprocessing steps include data integration, attribute selection, temporal aggregation, handling of missing data, and normalization using Z-score. K-Means clustering is applied to identify hidden patterns in the development of HIV cases, resulting in three distinct clusters based on multi-year trends. The resulting cluster labels are then used as target classes in the supervised classification process. The Decision Tree classification model demonstrates high accuracy in predicting cluster membership, indicating a strong relationship between the temporal patterns of HIV cases and cluster identity. The integration of clustering and classification techniques provides a robust analytical framework for understanding the dynamics of HIV transmission, while also supporting the formulation of more precise, evidence-based, and region-specific public health interventions.

Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and machine learning approaches. SVM and AdaBoost algorithms each have advantages that can be used to help build an optimal allergen detection model. This research uses a cross-validation model validation method with a value of K = 10 to help improve the performance of the model built. In this study, from the entire fold, an average accuracy value of 98.74% was obtained. To evaluate the model built, this research has also conducted several new data inputs, and in each new data input, the accuracy value is obtained above 99%. This indicates that the model built, namely the combination of SVM and AdaBoost algorithms with the cross-validation model validation method, produces high accuracy, so this model can greatly assist the allergen detection process in food products.

Communication is a fundamental aspect of human life. However, individuals with hearing and speech impairments often face barriers in communicating with the general public. The Indonesian Sign System (SIBI) serves as a communication solution for the deaf and speech-impaired community in Indonesia, yet public understanding of SIBI remains limited. To address this issue, this study aims to develop an automatic translation model from SIBI sign language into Indonesian text by utilizing Deep Learning technology, specifically the Convolutional Neural Network (CNN) algorithm. CNN was chosen for its ability to effectively recognize visual patterns, making it suitable for processing hand gesture images in sign language. This research involved collecting and classifying a dataset of hand images based on the alphabet or words in SIBI, which were then used to train the CNN model. The designed CNN model was built to accurately classify hand signs and translate them into Indonesian text. The results of this study have the potential to serve as a supportive solution for inclusive communication between the deaf community and the wider public, and can be further developed for contextual sentence translation. Keywords: Indonesian Sign System (SIBI), CNN, Deep Learning, Automatic Translation, Inclusive Communication