Publication Search

The determination of scholarship recipients is a very important process in supporting students’ educational success, particularly in providing fair opportunities for high-achieving students who require financial assistance. However, in practice, this process often faces various challenges, such as assessor subjectivity and uncertainty in evaluating the applied criteria. Therefore, a decision support system is needed to assist decision-making in an objective and measurable manner. This study aims to implement the Fuzzy Tsukamoto method as a decision support system for determining scholarship eligibility. The criteria used in this study include Grade Point Average (GPA) as an indicator of academic achievement and parents’ income as an indicator of students’ economic conditions. The Fuzzy Tsukamoto method was selected because it is capable of producing crisp output values based on predefined fuzzy rules. Student data were processed through several stages, namely fuzzification to transform input data into fuzzy values, inference using the minimum operator, and defuzzification using the weighted average method. The results of the study indicate that the application of the Fuzzy Tsukamoto method is able to generate more objective, consistent, and measurable decisions. Based on the calculation results, a scholarship eligibility score of 63.9 was obtained, which falls into the eligible category. Thus, the Fuzzy Tsukamoto method can be considered an effective alternative to support fair, systematic, and transparent decision-making in determining scholarship recipients.

Savings and Loan Cooperatives (KSP) play a vital role in expanding community access to capital, especially within the informal sector. Nevertheless, non-performing loans remain a persistent challenge that can threaten liquidity and long-term institutional sustainability. KSP CU Mera Ndi Ate faces similar issues, which are assumed to stem not only from administrative weaknesses but also from members’ perceptions and behavioral factors. This research aims to examine the potential causes of non-performing loans through text-based sentiment analysis using an unsupervised learning approach. A quantitative method with a data mining framework was applied. Data were gathered through interviews, observations, documentation, and 200 customer opinion texts processed using the Orange Data Mining application. The analytical stages included preprocessing, corpus development, feature extraction, sentiment clustering, and visualization. Because the dataset lacked predefined labels, unsupervised learning was used to identify naturally emerging sentiment patterns. Findings reveal a predominance of critical sentiments related to credit assessment procedures and service quality. The highest sentiment score (75) concerned insufficient creditworthiness evaluation, followed by concerns about service efficiency (66.6667). These insights suggest that improving assessment accuracy and service quality may help reduce non-performing loans.

The maternal mortality rate (MMR) in Dompu Regency is still relatively high. Directly, this is caused by hypertension, COVID-19, etc., while indirectly, it is caused by reproductive status or four too (4T), namely too young, too old, too close together, and too many children. This research focuses on indirect causes that are often not overlooked, namely, to describe the knowledge and attitudes of pregnant women about 4T at the Matua Village Health Post in the Dompu Barat Health Center working area. This research is a quantitative research with a descriptive design. The population in this study were all pregnant women who had their pregnancies checked at the Matua Village Health Post in the Dompu Barat Health Center working area. Samples were taken using a total sampling technique from June to August 2023 with 40 people. Data collection techniques in this research were through interviews and filling out questionnaires. This research showed that the respondents' knowledge about 4T risks was mainly in the poor category. Namely, 18 respondents (46%), and the least was in the good and sufficient category, namely 11 respondents (27%) each. Respondents' attitudes about the risks of 4T mainly were in the harmful category, namely 31 respondents (78%). Meanwhile, nine respondents (22%) showed negative attitudes. Based on the research results, it was concluded that the knowledge of pregnant women at the Matua Health Post in the Dompu Barat Health Center working area was mostly in the poor category. Meanwhile, most mothers' attitudes are in the harmful category.

This study, entitled "Analysis of the Application of Sharia Economic Principles in Nuris Medika Fund Management," aims to analyze the extent to which Sharia economic principles are applied in the fund management system at the Nuris Medika healthcare institution. Sharia economic principles emphasize justice, transparency, mutual assistance (ta'awun), and the prohibition of riba (usury), gharar (gharar), and maysir (gambling). This study used a qualitative method with a descriptive approach. Data were collected through in-depth interviews, field observations, and documentation of managers and related parties at Nuris Medika. Data analysis was carried out through the stages of data reduction, data presentation, and conclusion drawing. The research results indicate that fund management at Nuris Medika largely adheres to Islamic economic principles, particularly in terms of transparency in fund use, social responsibility, and the implementation of an interest-free system in internal financial transactions. However, several aspects still need to be strengthened, such as the development of more systematic Sharia-based standard operating procedures (SOPs) and increasing Sharia economic literacy among all institution managers. Overall, the implementation of Islamic economic principles at Nuris Medika can be categorized as good and has the potential to become a model for financial management in Islamic boarding school-based healthcare institutions based on Islamic values.

Lifting activities are an essential part of manual material handling across various industrial sectors and constitute a primary source of ergonomic risk exposure when performed with inappropriate work postures. The use of hands-off tools such as push-pull sticks is often implemented to maintain a safe distance between workers and loads and to reduce exposure to line-of-fire hazards. However, the implementation of work aids does not automatically ensure neutral work postures, as push-pull techniques, reach distances, and environmental conditions can still lead to awkward postures. This study aims to evaluate the work posture risk in lifting activities using a fiber-composite push-pull stick based on the Rapid Entire Body Assessment (REBA) method. The research was conducted as an observational analytic field study involving nine workers in tubular pushing and pulling activities. Work postures were documented through direct observation and visual recordings, then assessed using REBA to obtain risk scores, risk categories, and required corrective actions. The results indicate that work postures fall into the medium to high-risk categories, with trunk and shoulder components being the dominant contributors. These findings confirm the need for improvements in work methods, ergonomic training, and strengthening of lifting SOPs to optimize the safety and ergonomic benefits of work aids.

This study examines the negotiation of self-loss through the denial defence mechanism in Rosé’s album Rosie (2024) using a Freudian psychoanalytic approach. Popular music is positioned as a cultural text that articulates psychological conflict and emotional vulnerability, particularly within toxic romantic relationships. Employing qualitative textual analysis and close reading, this research focuses on three selected songs namely Number One Girl, Toxic Till the End, and Stay a Little Longer to explore how denial operates as an ego defence in managing emotional pain and relational trauma. The findings reveal that denial functions through three interrelated forms: affective denial, cognitive denial, and symbolic denial. Rather than serving merely as a temporary protective mechanism, denial operates continuously to sustain emotional attachment, delay confrontation with loss, and gradually erode the subject’s autonomy and identity. This process results in a negotiated form of self-loss, in which the subject remains psychologically functional while experiencing progressive fragmentation of the self. By reading the album as a coherent psychological narrative rather than isolated songs, this study contributes a novel conceptual framework for understanding the dynamics of self-loss and denial in popular music, while extending psychoanalytic approaches to the analysis of contemporary female musical texts and affective trauma.

The implementation of the Merdeka Curriculum requires teachers to possess adequate competence in developing contextual and meaningful Madrasah Lesson Plans (RPM). One of the main challenges lies in teachers’ ability to integrate deep learning approaches into instructional planning. This community service program aimed to enhance the competence of teachers at SD IT Al-Markazul Islami in developing deep learning–based Merdeka Curriculum lesson plans. The program employed a structured and participatory approach through training and mentoring activities, including conceptual presentations, group discussions, and hands-on practice in lesson plan development. Evaluation was conducted using a competence questionnaire administered to 20 participating teachers in the pretest and posttest stages. The data were analyzed descriptively. The results indicated that teachers’ competence scores in the pretest ranged from 54 to 63, with a mean score of 58.7, which fell into the moderate category. Following the intervention, posttest scores increased to a range of 89–97, with a mean score of 92.9, categorized as high. The improvement in scores ranged from 33 to 35 points for each participant. These findings demonstrate that the training and mentoring activities were effective in enhancing teachers’ competence in developing lesson plans aligned with the principles of the Merdeka Curriculum and deep learning approaches.

The increasing consumption of plastic, particularly single-use packaging, has led to a significant rise in household plastic waste, which poses a potential threat to environmental sustainability. One type of waste that remains underutilized is metallic plastic packaging. This Community Service activity aimed to enhance community knowledge and skills in processing metallic plastic packaging waste into handicraft products with functional value and economic potential. The activity was conducted in collaboration with the Family Welfare and Empowerment Group (PKK) of Ngringo Village, Karanganyar, involving 15 participants. The methods employed included a preliminary survey, educational outreach, hands-on practical training, and continuous mentoring. The effectiveness of the program was evaluated using pre-test and post-test assessments analyzed through the normalized gain (N-gain) method. The results demonstrated an improvement in participants’ knowledge and skills following the training, with an average N-gain value of 0.68, which falls within the moderate-to-high category. These findings indicate that the metallic plastic packaging waste processing training was effective in enhancing community capacity. Furthermore, the activity not only contributed to reducing plastic waste generation but also promoted the implementation of circular economy principles.

The ability to analyze ethical and health law issues is one of the learning outcomes that must be mastered by students of the Public Health Study Program. Over the past two years, the implementation of lectures has been predominantly based on problem-based learning; however, most student learning outcomes have remained in the “not yet achieved” category, including in completing assignments related to ethical and health law problem solving. This study aims to compare students’ problem-solving abilities between the implementation of project-based learning and problem-based learning. The research was conducted in the Public Health Study Program at Universitas Jambi involving first-semester students enrolled in the Ethics and Health Law course. The research employed a quasi-experimental design involving 200 students, with 100 students assigned to the experimental group and 100 students to the control group. The instruments used were assessment sheets and observation sheets. Data collection was carried out twice, before and after the implementation of the two learning models. Data processing and analysis were conducted using an independent t-test.The results of the study indicate an improvement in students’ problem-solving abilities through the implementation of project-based learning. Project-based learning contributes to strengthening students’ perseverance and problem-solving skills and is therefore recommended for implementation in all courses at higher education institutions.

This research investigates the integration of Smart Production Systems (SPS) within the framework of Industry 5.0, emphasizing how such integration redefines operational efficiency and human–machine collaboration. The study aims to identify the contributions of smart technologies to productivity, sustainability, and human value in modern production systems. A Systematic Literature Review (SLR) was conducted following PRISMA guidelines, drawing from international databases including Elsevier, Springer, IEEE Xplore, Wiley, Taylor & Francis, ACM, and SAGE, as well as national sources. Publications from 2023–2025 were screened using keywords such as “Industry 5.0,” “Smart Production Systems,” “Human–Machine Collaboration,” and “Operational Efficiency.” Thematic analysis categorized findings into four dimensions: operational efficiency, human–machine collaboration, industrial sustainability, and socio-ethical aspects. Results indicate that SPS integration significantly enhances operational efficiency while fostering adaptive and creative collaboration between humans and machines. The combination of Artificial Intelligence (AI), Cyber-Physical Systems (CPS), and human creativity establishes a resilient, sustainable, and innovative production paradigm. Successful implementation of Industry 5.0 requires harmonizing technological advancement, human skills, and ethical principles. Practically, the study offers insights for industry stakeholders and policymakers in designing human-centered digital transformation strategies, strengthening supply chain resilience, workplace safety, and innovation. This research contributes conceptually by highlighting ethical and sustainable human–machine interactions in future production systems.

The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of retail transactions. The main focus of this study is to classify product categories and predict customer segments, including the identification of high-spending customers (high spenders), based on demographic attributes such as age and gender, as well as various transaction-related features. The research methodology includes data preprocessing, label encoding, and feature engineering to generate additional variables, including Age_Group, Is_Holiday, and Spender_Group, which are expected to enhance the predictive capability of the models. Several machine learning algorithms, namely Decision Tree, Random Forest, and XGBoost, were implemented and evaluated to compare their respective performance. The experimental results indicate that multiclass product category classification achieves relatively low accuracy, ranging from 27% to 34%. These findings suggest the high complexity of retail data and highlight the need for further model optimization, class balancing techniques, and feature refinement to improve predictive performance in future studies.

The increasing number of Indonesian Migrant Workers (TKW) working abroad, particularly through programs organized by BP2MI, has become a significant concern in managing the labor export process. One of the challenges faced is the uncertainty of the number of TKW to be sent each year, which is influenced by various external and internal factors. Therefore, this study aims to apply artificial neural networks (ANN) with a backpropagation algorithm approach to predict the number of TKW that will be processed by BP2MI. This method was chosen due to its ability to recognize patterns and nonlinear relationships between variables that affect the decision-making process for TKW export. In this study, the data used includes factors such as the number of job seekers, government policies, and the condition of the international labor market. The artificial neural network with the backpropagation algorithm is used to train the model based on existing historical data, with the goal of generating accurate predictions regarding the number of TKW to be processed in the coming years. The results of the tests show that the developed model can provide fairly accurate predictions and can serve as a tool for BP2MI in planning and managing the export of TKW more effectively. With the application of this technology, it is expected that the decision-making process related to TKW export can become more efficient and well-predicted.

This study aims to: (1) describe the implementation of local wisdom–based learning in the teaching process of Grade VII B at UPT SMP Negeri 4 Kelara Jeneponto; (2) determine the improvement of students’ social awareness after the implementation of local wisdom–based learning; and (3) identify the enhancement of students’ learning culture through the application of this learning model. The research employed a Classroom Action Research (CAR) design using the Kemmis and McTaggart model, conducted in two cycles consisting of planning, action, observation, and reflection. The subjects were 25 seventh-grade students, focusing on two main variables: social awareness and learning culture. Data were collected through observation, questionnaires, and documentation, and analyzed using descriptive quantitative and qualitative techniques. The findings indicate that the integration of Jeneponto cultural values Tabe’ Karaeng, Sipakatau, Sipakalabbiri, Sipakainga, Siri’ na Pacce, Akbulo Sibatang, and empo sipitangari was implemented effectively and became more optimal in Cycle II after improvements were made through Problem-Based Learning (PBL) and the use of more contextual local cases. Students’ social awareness increased from an average of 63.13% in Cycle I (categorized as Fair) to 80.42% in Cycle II (categorized as High). Similarly, students’ learning culture improved from 69.69% (Fair) in Cycle I to 82.66% (High) in Cycle II, meeting the classical mastery criteria. The study concludes that integrating local wisdom into classroom instruction not only strengthens students’ understanding of social studies content but is also effective in shaping their social character and learning habits. This model is recommended for development in other subjects and educational levels.

This study aims to develop a Student Worksheet (LKPD) on Chemical Bonding assisted by Augmented Reality (AR) based on deep learning and to examine its feasibility, practicality, and effectiveness in improving learning activities and higher-order thinking skills (HOTS) of high school students. The research employed a 4D development model (define, design, develop, and disseminate) using a pretest posttest control group design involving 11th grade students. Research instruments included expert validation sheets, learning activity questionnaires, and HOTS test instruments. Data were analyzed using descriptive and inferential statistical methods. The results indicated that the AR-based LKPD met very feasible and practical criteria based on expert judgment and student responses. Furthermore, there was a statistically significant difference between the experimental and control groups in learning activities and HOTS achievement (p = 0.005). The increase in HOTS scores in the experimental group was categorized as moderate, indicating meaningful learning gains. These findings demonstrate that the AR-assisted Chemical Bonding LKPD is effective as an innovative learning medium for supporting students’ understanding of abstract chemistry concepts and fostering higher-order thinking skills.

Literature is not only a source of entertainment, but also a tool for contemplating human life that is full of internal conflicts and psychological issues. Short stories as a type of literature often present the realities of life in a concise yet meaningful way, making them interesting to analyze with a variety of scientific methods. This research focuses on the short story "Happiness That Kills" by applying two main approaches, namely the analysis of intrinsic elements and literary psychology. This story depicts a happy state that appears from the outside, but actually hides the emotional burden experienced by the main character, Malla. The method applied in this study is qualitative descriptive with literature study techniques, which is oriented towards the introduction of themes, plots, characters, settings, and mandates, as well as exploring the psychological dynamics of characters using Freud's psychoanalytic theory. The results of the study show that the internal conflicts in this story arise from the battle between the id, ego, and superego, especially when Malla struggles to maintain harmony in her family at the expense of herself. Overall, this short story shows that forced happiness can lead to suffering. By combining structural and psychological analysis, this study reveals the deep meaning related to social pressures, inner struggles, and humanitarian messages that the author seeks to convey. It is hoped that the results of this research can contribute to the study of literature, especially in understanding the relationship between story structure and the psychological condition of characters in contemporary literary works.

Early childhood growth and development detection is an important process to identify potential physical, cognitive, emotional, and social developmental disorders in children before the age of six, which can help prevent long-term health and educational problems. Developmental screening is an initial assessment activity conducted to determine a child’s level of development according to their age. This screening aims to detect early whether a child’s development is within normal limits or if there is a possibility of developmental delay. This study aims to examine the developmental screening of children aged 5–6 years at RA Bunayya II. The research method used is qualitative research. Data were collected through observation and interviews. The results of the study indicate that all children are in the category of Developing as Expected. This is shown by the predominance of “Yes” responses on the indicators of the Pre-Developmental Screening Questionnaire (KPSP), which include aspects of speech and language, gross motor skills, fine motor skills, as well as social-emotional development and independence.

The Fast Beauty phenomenon presents social pressure from marketing strategies that create a feeling of worry about being left behind, thus encouraging generation Z consumers to purchase beauty products in the Fast Beauty brand category. This study aims to examine the relationship between Fear of Missing Out (FoMO) and purchase decisions among generation Z as consumers of Fast Beauty products. The method used in this study was a quantitative correlational method with 200 participants aged 18 to 30 years, of which 7 male (3.5%) and 193 female (96.5%). Data collection was conducted through an online questionnaire compiled using the Missing Out Scale (FoMOS) and a Purchase Decision scale using a Likert scale of 1 to 4. The analysis results show a significant positive relationship between Fear of Missing Out (FoMO) and purchase decisions (r = 0.620, p < 0.05), where the higher the Fear of Missing Out (FoMO), the higher the tendency of Generation Z consumers to make Fast Beauty product purchases. These analysis results align with previous research showing that consumers experiencing Fear of Missing Out (FoMO) tend to make product purchases without careful consideration due to concerns about being left behind in their social environment. The implications of this research show the importance of implementing marketing strategies that pay more attention to the psychological side of consumers and the implementation of more conscious consumer behavior before purchasing Fast Beauty products.

The Free Nutritious Meal Program (MBG) is a national priority policy under the Prabowo–Gibran administration aimed at improving students’ well-being and learning quality through school-based nutrition interventions. However, its effectiveness largely depends on the collaborative strength between teacher groups as field implementers and the government as policy makers. This study aims to analyze the collaborative synergy between teachers and the government in implementing MBG and to develop a conceptual model of school-based partnership. The study employs a Systematic Literature Review (SLR) method, reviewing national and international articles published between 2018 and 2024 using keywords “free nutritious meals”, “school feeding program”, “government collaboration”, and “primary school teachers”. Thematic analysis was conducted by categorizing findings into four main themes: the role of government, the role of teachers, collaborative implementation, and impact on students. The results show that the success of MBG depends on policy transparency, teacher training, and cross-sector coordination responsive to local conditions. This article contributes to constructing a conceptual collaborative model that positions teachers as policy mediators and social change agents in schools. The findings strengthen the concepts of collaborative governance and empowerment education within the context of educational nutrition policy in Indonesia.

This study was conducted to review the quality of test items in Business Economics and General Administration subjects using a classical analysis approach. The assessment process included examining validity, reliability, difficulty level, the ability of questions to differentiate student abilities, and the accuracy of distractors. The research approach used was descriptive quantitative, with 32 students from grades XI and XII majoring in Accounting as subjects and 50 multiple-choice questions as instruments. The main focus of this study was to ensure that the evaluation tools used were truly capable of describing students' competency achievements. Data analysis was conducted through observation results and student responses on Google Forms, which were then processed using the Anates Version 4.0 application. The results of the analysis showed that most of the questions had high validity and reliability, good discrimination power, and a moderate level of difficulty. However, the overall quality of the distractors was not good enough, and there were no questions in the difficult category. Overall, the quality of the questions in this subject can be categorized as good and suitable for evaluating the learning of vocational high school students in grades XI and XII.

Thousands of metric tonnes of garbage remain unmanaged, and despite available solutions, many people are still reluctant to participate in proper waste disposal. This study aimed to identify the reasons behind the unwillingness of different age groups in Kuta Selatan, Badung, Bali to separate their garbage into biodegradable and non-biodegradable categories. This qualitative research used surveys and interviews for data collection. The survey involved three age groups: adolescents (10–19) with 15 respondents, young adults (20–39) with 15 respondents, and middle adults (40–60) with 11 respondents. Interviews were conducted with two environmental experts, and the data were analyzed using thematic analysis. The results showed that reluctance across age groups stemmed mainly from limited awareness of the environmental benefits of waste separation and the negative impacts of improper disposal. Adolescents additionally cited the lack of strict policies and penalties. Young and middle adults shared similar reasons, mostly linked to insufficient knowledge and low motivation. Environmental experts emphasized the importance of improving public awareness of waste management practices and enhancing waste management infrastructure through additional facilities and better-quality services. Overall, this study highlights the need for stronger policies, improved infrastructure, and increased public education to boost community participation in waste separation in Kuta Selatan.