Publication Search

This study aims to know the decision-making strategies in individuals with pragmatic personality. The approach used was qualitative with a case study method. The subjects of the study consisted of three individuals who were selected using purposive sampling techniques based on pragmatic personality characteristics, i.e. oriented to results, efficiency, and practical considerations in decision making. Data were collected through semi-structured interviews and observations, then analyzed using thematic analysis. The results of the study showed that all three respondents had relatively similar decision-making patterns, namely starting with understanding the problem, followed by identification and evaluation of multiple alternatives, as well as considering the advantages and disadvantages of each option. In determining the final decision, pragmatic individuals tend to choose solutions that are realistic, simple, effective, and have the lowest risk yet provide the optimal benefit. Additionally, in the face of important decisions, respondents showed a cautious attitude by calming themselves, not rushing, as well as partially considering the opinions of others as additional evaluation material. Overall, the findings of this study suggest that pragmatic personality plays a role in forming logical, adaptive, and real outcome-oriented decision-making strategies in daily life.

Irregular sleep patterns are a common issue experienced by university students and are often considered a normal part of academic life. However, such conditions can have negative effects on students’ learning concentration and cognitive function. Poor sleep patterns are generally influenced by various factors, including high academic workload, habitual late-night activities, poor time management, and excessive use of electronic devices at night. This study aims to examine the relationship between sleep patterns and students’ learning concentration, identify factors contributing to irregular sleep patterns, and analyze constraints as well as propose solutions to improve sleep quality in order to enhance learning concentration. The method used in this scientific paper is a literature review, which involves examining relevant scientific sources such as research journals and academic literature related to sleep patterns and students’ learning concentration. The results of the review indicate that students with poor sleep patterns tend to experience physical fatigue, decreased immune function, cognitive impairment, and difficulties in maintaining focus and concentration during the learning process. In the long term, these conditions have the potential to reduce academic achievement and learning motivation. Therefore, it can be concluded that effective time management, limiting the use of electronic devices before bedtime, creating a conducive sleep environment, and support from universities through health education play an important role in improving students’ sleep patterns. With regular and high-quality sleep, students’ learning concentration is expected to improve, allowing the learning process and academic achievement to proceed optimally.

The development of information technology in the era of globalization has significantly transformed communication patterns in modern society, particularly through the emergence of social media. Social media functions not only as a communication tool but also influences ways of thinking, social interaction, and relationship building. This study aims to examine the impact of social media on changes in communication patterns, identify challenges related to the digital divide, and propose solutions to address the negative effects of social media. The method used is a descriptive approach through literature review and analysis of social phenomena related to social media usage. The discussion indicates that social media accelerates information dissemination, expands communication spaces, and increases public participation. However, it also presents challenges such as the spread of misinformation, reduced quality of face-to-face interactions, digital addiction, and disparities in access to technology and digital literacy. Therefore, strengthening digital literacy, promoting ethical communication, enhancing the roles of families and governments, and encouraging self-regulation among users are essential to ensure that social media contributes positively to modern social life.

Kota Pari Village, Pantai Cermin Sub-district, Serdang Bedagai Regency, holds promising tourism potential; however, this potential has not been optimally utilized due to a number of issues faced by the residents, such as low work competence, limited access to information on business development management training, residents' insufficient responsiveness to changes in the management system of the village-owned enterprise, and low willingness among residents to apply the knowledge provided, which frequently leads to disagreements during work competence training activities. Therefore, this community service program aims to identify these issues and provide appropriate solutions for the residents of Kota Pari Village and its surrounding areas. Through this program, it is expected that residents will be able to apply work competence to improve employee performance within the Village-Owned Enterprise, actively engage in business development management through creative craftsmanship, and make this a cornerstone for improving their standard of living and economic welfare, with support and facilitation from the Kota Pari Village Office, Pantai Cermin Sub-district, Serdang Bedagai Regency. 

Communication is an essential human right, yet a significant communication gap persists between individuals with sensory disabilities, specifically the deaf and speech-impaired, and the general public. While many technological solutions have been proposed to translate sign language, existing models primarily rely on heavy deep learning architectures such as Convolutional Neural Networks (CNN) or Recurrent Neural Networks (RNN/LSTM). These models often demand high computational power, leading to latency and limiting real-time application on standard devices. This study proposes a lightweight, fast, and highly responsive sign language translation system specifically designed to recognize static alphabets (A-Z) and single-character air writing. The system utilizes MediaPipe for hand tracking, where feature extraction is intelligently processed by calculating the relative spatial coordinates of fingertips to the wrist, reducing dependency on raw camera coordinates. Classification is performed using a Support Vector Machine (SVM) with a Radial Basis Function (RBF) kernel, prioritizing computational efficiency without sacrificing accuracy. To enhance user experience, the system introduces three key novelties: smart relative feature extraction, an anti-duplication hold system with a 1-second timer to prevent input spamming, and a non-blocking multithreaded audio execution (Daemon Thread) utilizing Google Text-to-Speech (gTTS), ensuring the webcam feed remains fluid during audio playback. Additionally, an alternative air-writing mode is integrated, utilizing geometric heuristics and PyTesseract OCR to read single drawn letters in the air. The results indicate that the proposed system operates swiftly and efficiently, bridging the communication barrier with a hardware-friendly approach.

Changes in values in modern society have led to a shift in the meaning of love in marital relationships, from moral and spiritual commitment to momentary emotions oriented towards personal satisfaction. This shift has weakened long-term commitment and increased relational conflict within families. Islam, with its concept of marriage as mitsāqan ghalīẓā and love as amanah, offers a relevant normative framework to respond to this crisis. This study aims to examine the concept of marriage in Islam and analyze how the values of sakinah, mawaddah, and raḥmah can be solutions to the crisis of the meaning of love in modern families. The method used is a qualitative literature study, through an examination of classical and contemporary Islamic literature and scientific studies on the dynamics of modern families and relationships. The data were analyzed thematically to identify the relationship between the meaning of love, commitment, and relational conflict. The results and discussion show that reducing love to mere emotion weakens the stability of marriage, while understanding love as a spiritual and moral trust strengthens empathy, communication, and conflict resolution mechanisms. The principles of ṣabr, raḥmah, and musyawarah have proven to play an important role in maintaining the resilience of relationships. In conclusion, Islamic marriage values provide a solid and adaptive ethical foundation for building a harmonious, mature, and sustainable family amid the challenges of modernity.

This study examines the comparison between litigation and Alternative Dispute Resolution (ADR) in resolving business conflicts in Indonesia. The increasingly complex nature of business activities has led to a variety of conflicts, such as breach of contract, share ownership disputes, and payment issues, which require efficient resolution methods that provide legal certainty. This study aims to explore the characteristics, procedures, advantages, and disadvantages of dispute resolution through litigation and ADR, which include negotiation, mediation, conciliation, and arbitration. The method applied is normative juridical, drawing on legislation, legal doctrine, and relevant literature. The research findings indicate that litigation offers stronger legal certainty through binding court decisions and organized procedures, but is often time-consuming, expensive, and produces win-lose outcomes. On the other hand, ADR offers flexibility, confidentiality, efficiency, and the opportunity to reach mutually beneficial solutions, although in some situations it requires court confirmation for enforcement. Therefore, the choice of dispute resolution method needs to be adjusted to the nature of the conflict, the relationship between the parties, and the need for legal certainty.

Vegetables are food commodities widely consumed by the public due to their high nutritional content. Chili (Capsicum annuum L.), green beans (Phaseolus vulgaris L.), and Chinese cabbage (Brassica pekinensia L.) are among the vegetables that can be processed into various delicious dishes or consumed fresh as raw vegetables. To obtain healthy and high-quality vegetable crops, pesticides are commonly used to control pests that may damage the plants. One of the widely used pesticides is chlorpyrifos, which can leave residues that may pose both acute and chronic health risks. Therefore, it is necessary to analyze the levels of chlorpyrifos pesticide residues in vegetables. The residue levels were determined using a UV-Vis spectrophotometer at a wavelength of 230 nm with dichloromethane as the solvent, while qualitative analysis was performed using HPLC by comparing the retention times of standard solutions and vegetable samples. In this study, washing treatments were applied to the vegetables using dichloromethane, distilled water, well water, and tap water (PDAM) to evaluate the effect of washing on pesticide residue levels. The concentrations of pesticide residues in unwashed vegetables were chili (2.6680 ± 0.0214 mg/kg), green beans (2.4658 ± 0.0193 mg/kg), and Chinese cabbage (2.7950 ± 0.0379 mg/kg). The washing process was carried out three times for each solvent. After three washings using dichloromethane and distilled water, pesticide residues were no longer detected, whereas washing with tap water (PDAM) and well water still left residues, although at levels much lower than the Maximum Residue Limit (MRL). The health risk assessment showed that the aHQ and cHQ values were < 1, indicating that consumption within the recommended limits of these samples does not pose health risks, either in the short term or long term. This study provides important information that repeated washing is necessary to effectively reduce pesticide residue levels in vegetables before consumption.  

Differential equations involve derivatives of unknown functions and are widely used in mathematical modeling of various real-world problems. They can be classified based on linearity, homogeneity, coefficients, number of independent variables, degree, and order, thus requiring appropriate solution methods. One commonly used approach is the reduction of order method, which simplifies equations by reducing their order step by step. However, this method generally requires the solution of the corresponding homogeneous equation as an initial step. This study aims to solve nonhomogeneous linear ordinary differential equations of order with constant coefficients using the reduction of order method without determining the homogeneous solution. This research is a theoretical study based on relevant references concerning solution methods and types of differential equations. The procedure consists of two main stages: determining the fundamental symmetric polynomial variables based on the coefficients and constructing a sequence of solutions through first-order linear differential equations obtained from the reduction process. The results show that this method systematically produces the general solution of linear differential equations of order , making it an effective and efficient alternative approach

Biology learning in Indonesia is still predominantly teacher-centered, limiting students’ opportunities to actively develop critical thinking, creativity, collaboration, and other 21st-century competencies. Students often receive information passively, resulting in low engagement and limited ability to apply concepts in real-life contexts. Therefore, innovative learning models are needed to support more meaningful and student-centered learning. This study aims to review the implementation of Project-Based Learning (PjBL) in Biology education and analyze its contribution to the development of students’ 21st-century skills. The study employed a literature review method by analyzing 20 research articles published between 2022 and 2026. Articles were obtained through Google Scholar searches and selected based on relevance to Biology education, focus on PjBL implementation, and open-access availability. Data collection involved identification, screening, selection, and documentation of related studies, while data analysis used a qualitative descriptive approach. The findings indicate that PjBL effectively improves students’ cognitive achievement, conceptual understanding, scientific literacy, creativity, and critical thinking skills. In addition, PjBL enhances collaboration, communication, problem-solving abilities, learning motivation, and life skills through contextual and authentic project activities. Students become more actively involved in investigating real-world problems, designing solutions, and producing meaningful learning outputs. Furthermore, the integration of STEM approaches, digital media, blended learning, and Culturally Responsive Teaching (CRT) strengthens the effectiveness of PjBL in Biology learning. Overall, PjBL is highly relevant for supporting the Merdeka Curriculum and improving the quality of Biology education in developing 21st-century competencies.

Land tenure conflicts between indigenous peoples and the state remain a persistent issue in Indonesia. These conflicts arise due to differences between customary law practiced by indigenous communities and the formal legal system enforced by the state. This study aims to analyze the legal recognition of indigenous land rights within the national agrarian law framework, identify the causes of such conflicts, and formulate equitable solutions for their resolution. This research employs a normative legal method using statutory and conceptual approaches. The findings reveal that although legal recognition of indigenous land rights exists in various regulations, its implementation remains weak. Conflicts are primarily caused by overlapping regulations, economic interests, and the lack of formal recognition of customary territories. Therefore, regulatory harmonization, strengthening legal recognition of indigenous peoples, and the development of participatory and socially just dispute resolution mechanisms are essential. In conclusion, the protection of indigenous land rights can be optimized within the national agrarian legal framework through comprehensive legal reform and inclusive governance.

Christian Religious Education (PAK) learning is undergoing significant changes in the Digital 5.0 era with the utilization of technology as the main support. This study explores the challenges in Christian learning and explores technological solutions that can improve student engagement and material comprehension. Through the literature study, the main challenges identified include the limitations of traditional learning resources and the lack of attractiveness of the materials. Solutions are proposed by integrating E-Learning, Virtual Reality, Augmented Reality, and mobile applications in the curriculum. Teacher training and support from the community and church are key in implementing this approach. Continuous evaluation and problem solving are the focus to ensure success and sustainability. The results show that technology contributes significantly to creating an interactive and relevant learning environment, building a solid foundation for increased student engagement and understanding of Christian teachings. By stepping with technology, this article presents a foundation for enhancing Christian Religious Education learning amidst the dynamics of the digital world

Digital transformation has brought fundamental changes to the structure and dynamics of modern industrial economics. Technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and big data not only modify production and distribution processes but also revolutionize marketing strategies and patterns of industrial competition. This study is motivated by the need to understand how digital marketing transformation influences the development of competitive advantage through changes in digital market structure from an industrial economics perspective. In this context, digital marketing functions as a strategic instrument that integrates technology, data, and consumer behavior into market mechanisms. The analysis shows that digitalization creates a network-based market structure characterized by the concentration of economic power in major digital platforms and dominance in data control. This structure affects the intensity of competition, the direction of innovation, and patterns of industry differentiation. Digital marketing transformation enhances efficiency, expands market access, and lowers entry barriers for new players, yet it also creates competitive imbalances due to the dominance of large platforms.Through a digital Structure–Conduct–Performance (SCP) approach, the study finds that market structure acts as an intermediary variable that channels the impact of digitalization on competitive advantage. Digitalization significantly promotes industrial efficiency, innovation, and profitability. Proposed strategic solutions include strengthening digital literacy, developing adaptive regulations, and fostering cross-sector collaboration to create an inclusive, competitive, and sustainable digital industrial ecosystem

This community service activity aims to improve the competency of Regional Apparatus Work Unit (SKPD) personnel in preparing monthly, quarterly, and semi-annual financial statements in accordance with Government Accounting Standards (SAP). This activity uses a participatory approach through Focus Group Discussions (FGD) involving 95 participants consisting of Financial Administration Officers and expenditure treasurers from various SKPDs in the Semarang City Government. The evaluation indicators included participant participation, improvement of understanding, identification of reporting problems, and formulation of follow-up actions. The finding, based on the results of the post-test, an average of 80% of participants showed improvement, particularly in account classification, transaction recording, and periodic report preparation. The FGD identified four major issues: limited mastery of financial information systems, data input errors, insufficient competent human resources, and weak inter-unit coordination causing delays in report submission. As post-FGD outcomes, participants agreed on the need for continuous technical training, standardized operating procedures, optimization of information system integration, and the establishment of a reporting coordination forum. These results provide evidence that FGD was effective not only in evaluating participants’ competencies but also in generating practical solutions to enhance transparent and accountable regional financial governance.

Waste management remains a critical environmental issue due to the lack of public awareness in separating organic and inorganic waste, resulting in accumulation and environmental pollution This study aims to analyze and evaluate the development of automatic waste sorting systems based on proximity sensors with full-capacity notification using a Systematic Literature Review (SLR) approach.. The proposed system utilizes a combination of sensors, including proximity sensors for material identification and ultrasonic sensors for detecting object presence and bin capacity, integrated with a microcontroller for real-time processing. Additionally, the system is equipped with IoT-based monitoring that allows users to receive notifications when the waste bin reaches its capacity. The research method involves system design, hardware and software integration, and functional testing to evaluate system performance. The results indicate that the system is capable of sorting waste automatically with a high level of accuracy and responsiveness, while also providing real-time monitoring to support waste management operations. The implementation of this system can reduce manual intervention, increase operational efficiency, and promote better waste segregation practices. Furthermore, this study highlights the potential of integrating smart technology into environmental management systems, contributing both theoretically and practically to the development of sustainable waste management solutions.

Human resource management (HRM) plays a crucial role in improving the quality of da’wah programs in mosques. This study aims to analyze the implementation of HRM in managing da’wah programs at Masjid Raya Pematang Siantar, as well as to identify obstacles and solutions to improve the effectiveness of da’wah activities. The research used a qualitative approach with interview, observation, and documentation techniques. Informants consisted of mosque administrators, preachers (da’i), and active congregants. The results showed that HRM in the da’wah programs already has a fairly clear organizational structure, but several aspects still need improvement. The recruitment of preachers is still conducted informally without clear competency standards, and there are no specialized training programs for preachers. Congregational participation also remains fluctuating. Another weakness is the minimal use of technology in disseminating da’wah information, as promotion is still carried out conventionally without optimizing digital platforms. In addition, limited funding and the lack of professional management personnel are major challenges. Solutions that can be implemented include improving preacher recruitment and training systems, utilizing technology in da’wah dissemination, and optimizing financial management through effective fundraising strategies. With better HRM implementation, da’wah programs at Masjid Raya Pematang Siantar are expected to operate more professionally and provide broader positive impacts on society

This study aims to describe the strategies of Islamic Religious Education (PAI) teachers in increasing the learning participation of low-ability students at SDN 008 Tebing Karimun. Learning participation is an important indicator of learning success, but in reality there is still low student involvement in the learning process. Inhibiting factors come from internal aspects such as low confidence and limited cognitive abilities, as well as external aspects in the form of less varied learning strategies and less supportive classroom environments. This study uses a qualitative approach with a descriptive type, involving PAI teachers as the main informants and students as supporting informants. Data was collected through observation, interviews, and documentation, then analyzed with an interactive model that included data reduction, data presentation, and conclusion drawn, and tested for validity through triangulation. The results of the study showed that teachers' strategies include active learning, group discussions, individual approaches, and the use of learning media. The obstacles faced include low student confidence, cognitive limitations, and lack of variety of methods. The solutions carried out by teachers are in the form of providing motivation, applying innovative methods, and creating a conducive learning environment. This study concludes that PAI teachers' strategies play an important role in increasing the learning participation of low-ability students through innovative, interactive, and student-centered learning.

This study aims to analyze the influence of Relationship Marketing (X1), Service Quality (X2) and Brand Attachment (X3) on Member Loyalty (Y) at the Usaha Sejahtera Credit Cooperative. The sample used was 100 respondents, with the sampling method using non-probability sampling with simple random sampling technique. The initial analysis on the research instrument, by transforming ordinal data to interval data using the Method of Successive Interval (MSI) then the data was further analyzed using SPSS (Statistical Product and Service Solutions) version 31. The data analysis carried out was Validity Test, Reliability Test, Classical Assumption Test (Normality Test, Multicollinearity Test, Heteroscedasticity Test (Glejser Test), Linearity Test, Correlation, Multiple Linear Regression and Coefficient of Determination), Hypothesis Test (t test). The results of the study showed that Relationship Marketing (X1) partially had a significant effect on Member Loyalty (Y). Service Quality (X2) partially had a significant effect on Member Loyalty (Y). Brand Attachment (X3) has a partial and significant influence on Member Loyalty (Y).

Predictive maintenance (PdM) plays a crucial role in modern industrial systems by minimizing downtime, reducing maintenance costs, and optimizing asset performance. However, many predictive models operate as “black box” systems, limiting transparency and making it difficult for operators to interpret their outputs. This study aims to integrate Explainable Artificial Intelligence (XAI) techniques with Remaining Useful Life (RUL) prediction models to improve both accuracy and interpretability. Various machine learning and deep learning approaches, including Support Vector Machines (SVM), Random Forest (RF), XGBoost, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN), are employed to predict RUL using real-time sensor data from rotating machinery. XAI methods such as SHAP, LIME, and attention mechanisms are applied to provide human-understandable explanations of model predictions. The models are evaluated based on accuracy, Root Mean Square Error (RMSE), and interpretability scores. The results show that XAI-enhanced models outperform traditional approaches in predictive performance while offering greater transparency. These explanations help maintenance engineers better understand the factors influencing predictions, thereby improving decision-making and trust in the system. Nevertheless, the integration of XAI introduces additional computational complexity, which may pose challenges for large-scale industrial implementation. Overall, this study highlights the potential of combining XAI with RUL prediction to develop more reliable, transparent, and effective predictive maintenance solutions.

Introduction: Additive Manufacturing (AM) has revolutionized the production of complex geometries, offering flexibility, customization, and precision across various industries. However, optimizing multiple process parameters simultaneously to enhance AM performance remains a significant challenge. This study focuses on improving both mechanical properties and surface quality by utilizing multi-objective optimization techniques. Literature Review: The research reviews existing approaches in AM optimization, highlighting the limitations of single-objective optimization and the potential of multi-objective evolutionary algorithms (MOEAs). Previous studies demonstrate the difficulty of balancing competing objectives, such as tensile strength and surface roughness, within AM processes. Materials and Method: This study employs NSGA-II, MOEA/D, and SPEA2 algorithms to optimize AM parameters like layer thickness, build orientation, and infill density. The optimization aims to improve mechanical performance, including tensile strength and impact resistance, while reducing build time and surface roughness. The methodology integrates experimental validation with computational predictions to evaluate the effectiveness of these algorithms. Results and Discussion: The optimization process yielded Pareto-optimal solutions that balanced mechanical strength and surface quality. The results demonstrated improvements in tensile strength and surface finish without significantly increasing build time. Trade-off analysis highlighted the inherent conflicts between mechanical performance and surface quality, allowing for better decision-making in industrial applications. The study contributes to the AM industry by offering a comprehensive optimization framework for improving both efficiency and product quality.