Universitas Ahmad Dahlan Journal
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Maternal Parenting Style and Depression in Adolescents with Divorced Parents: The Mediating Roles of Cognitive Triad and Emotion Regulation Difficulties
Full text linkParental divorce is one of the factors that influences depression in adolescents. It is necessary to examine the mechanisms that cause depression in adolescents from divorced families. Several studies have examined the impact of negative parenting on adolescent depression through cognitive factors and emotional regulation. However, none have investigated both factors simultaneously. This study addressed this research gap by examining the influence of maternal rejection and maternal psychological control on depression in adolescents from divorced family through the cognitive triad and emotional regulation difficulties. Respondents in this study were 227 adolescents, both boys and girls, aged 12-19 years, who had experienced their parents' divorce, and lived with their mothers. Respondents completed the Children’s Depression Inventory, Psychological Control Scale-Youth Self Report, Children-Parenting Acceptance-Rejection Questionnaire, Cognitive Triad Inventory-Children, and Difficulties Emotion Regulation Scale. Multivariate path analysis was used to examine the relationships between the study variables. The structural model demonstrated an adequate fit, χ²(df=2)=5.298, p=0.071, CFI=0.994, TLI=0.968, RMSEA=0.084 (90% CI [0.00, 0.18]), and SRMR=0.041. Maternal rejection was found to influence depression primarily indirectly through the cognitive triad (β_ind=0.215, 95%CI [0.15, 0.28]), whereas maternal psychological control was indirectly associated with depression via emotion regulation difficulties (β_ind=0.08, 95%CI [0.04, 0.12]). The model accounted for 60.5% of the variance in depression. These findings underscore the importance of cognitive-based interventions in the context of maternal rejection and emotion regulation training in the context of maternal psychological control.The findings of this study can help develop intervention programs for adolescents and parents in the context of divorced families and various related parties. This study offers findings that can be implemented in future studies
Defining Flourishing in Hospitals: A Qualitative Case Study on Maternal-Child Services
Full text linkHospital settings, particularly maternal-child care units, involve high emotional demands that influence employees’ flourishing. This study aimed to examine how hospital employees construct and experience flourishing within such conditions. A qualitative single case study was conducted using semi-structured interviews with three participants representing management, healthcare worker, and non-healthcare worker. Data were analyzed through Reflexive Thematic Analysis following iterative stages of familiarization, inductive coding, and interpretive synthesis. Five themes emerged and aligned with the PERMA framework: positive emotions derived from patient recovery and appreciation; engagement reflected in deep absorption and coordinated teamwork; supportive relationships that buffer emotional strain; meaning rooted in service values and a sense of responsibility; and accomplishment represented by professional growth and pride. These findings indicate that flourishing arises from the interaction of emotional labor, relational support, and personal values embedded in the organizational environment. The study implies that hospitals should strengthen supportive leadership, peer collaboration, reflective spaces, and structured recovery opportunities to sustain engagement, prevent burnout, and cultivate enduring flourishing among employees
Explaining Commitment in Romantic Relationships among Emerging Adults: The Role of Disorganised Attachment and Quality of Alternatives
Full text linkRising relationship ambiguity challenges commitment stability during emerging adulthood. This cross-sectional correlational study examines the predictive role of disorganised attachment and quality of alternatives on romantic commitment. The participants included 215 emerging adults (aged 18–29) in heterosexual dating relationships, selected using purposive sampling. Data were collected using the Adult Disorganised Attachment scale and the Investment Model scale. All procedures were conducted in accordance with ethical standards. Data were analysed using multiple linear regression with robust standard errors. The results indicated that both predictors simultaneously predicted commitment (R2 = 0.38). Partial analysis revealed that the quality of alternatives (β = -0.52) had a dominant negative prediction on commitment compared to disorganised attachment (β = -0.20). Findings suggest that perceived attractive alternatives significantly undermine commitment stability. This highlights the need for counselling interventions addressing attention to alternatives to enhance relationship stability
Community empowerment for poverty alleviation through social entrepreneurship based on an ecological framework
Full text linkThis study is rooted in the issue of poverty, which has the potential to incite conflicts. In response to this, the research aims to explore social entrepreneurship as a tool for community empowerment to alleviate poverty and prevent conflicts. The research adopts a qualitative approach with a phenomenological design. The participants include village heads, leaders of cooperatives, tourism awareness groups, ecotourism managers, youth organization members, representatives of the village consultative body, cooperative administrators, managers of village-owned enterprises, neighborhood leaders, and village heads. These participants were selected through purposive sampling. Data were collected via semi-structured interviews, and the data analysis employed thematic analysis, with member checking used to ensure validity. The findings indicate that social entrepreneurship through ecotourism business units, underpinned by an ecological framework, has been successful in fostering contributions from individuals, microsystems, organizations, local communities, and the macrosystem. This approach to empowerment has proven effective in reducing poverty and preventing conflicts
Optimizing Cleaning Path for Coal Dust Removal Using Dual Stage Tracking Method
Full text linkManual disaster mitigation at the Java Bali power plant, particularly related to fire risks from coal dust during electricity production, often requires halting operations, leading to significant revenue loss and power outages. This study aims to address this issue by proposing an automated solution to clean coal dust without interrupting production, utilizing a dual-stage tracking method for robot-assisted coal dust cleaning. The research contributes by developing a dual-stage A* algorithm that optimizes robot movements for cleaning tasks in power plant environments, outperforming single-stage BFS and single-stage A* algorithms. The research is divided into two phases: object detection and robot motion path selection. The dual-stage A* algorithm is compared against single-stage BFS and single-stage A* methods through a series of experiments evaluating their efficiency and effectiveness. The dual-stage A* method demonstrates superior performance in terms of path optimization, reducing cleaning time, and improving operational safety. Specifically, the dual-stage A* algorithm reduces energy consumption by 169 units and grid traversal by 84 units compared to single-stage methods, ensuring thorough dust removal while minimizing fire hazards. The dual-stage A* algorithm proves to be the optimal solution for coal dust cleaning in power plants, allowing for safe, continuous operation without the need for production halts. Future work should focus on addressing implementation costs and technical constraints to enhance real-world applicability
Design and Implementation of an Autonomous Service Robot for Hospital Isolation Room Using Robot Operating System 2 and Navigation 2
Full text linkHealthcare-associated infections or nosocomial infections are infections that are acquired after admission to a hospital. This type of infection extends the length of stay, increases the cost of healthcare, and increases the mortality rate. This infection is caused by pathogens that are present in the hospital environment. These pathogens are transmitted when a hospital worker comes in contact with a patient or their environment. Thus, it is important to reduce the contact between them to stop the spread of pathogens. To reduce contact an autonomous service robot is utilized to deliver food or medicine to patients. This robot will be able to go to multiple target positions autonomously and will be controlled by a web application. Furthermore, the robot can provide a video call if the patient needs help. The robot platform used is the turtlebot3 and the software framework used is robot operating system 2 humble. The inflation radius and cost scaling parameters are tuned to increase the navigation success rate. Problems encountered during testing include glass windows not being detected by lidar, noisy lidar data, and obstacles being too low to be detected. These problems are solved using tape, costmap and laser filter, and keepout zones respectively. To evaluate the performance and capability of the app the robot is tested using a set of target locations entered on the app. During testing poor odometry causes localization error that causes recovery behaviors. The final system has a navigation success of 95%, with an average navigation speed of 0.17 m/s, and an average distance to target of 0.0587 m
Enhancing Network Security Through Real-Time Threat Detection with Intrusion Prevention System (Case Study on Web Attack)
Full text linkCyberattacks on government websites in Indonesia have been steadily increasing, with over 109 million incidents recorded in 2023 by the National Cyber Security Operations Center (BSSN). A Netcraft survey revealed that more than one billion websites globally face similar threats, highlighting the urgent need for improved security measures, especially given infrastructure limitations and inadequate security implementations. Approximately 51% of Micro, Small, and Medium Enterprises in Indonesia reported experiencing web attacks, with 95% stating that these attacks severely disrupted their operations. This study implements a Suricata-based Intrusion Prevention System (IPS) to protect web servers from attacks such as SQL Injection, XSS, and command injection. Suricata monitors network traffic and blocks threats in real time. Detection logs in JSON format are managed through Filebeat, processed by Logstash, stored in Elasticsearch, and visualized using Kibana. The key contribution of this research lies in designing a comprehensive set of rules and integrating all components into a single Docker container, streamlining the deployment process. Testing confirmed that the designed rules effectively detect and block attack payloads by leveraging a rule structure in suricata and nfqueue capable of identifying all suspicious traffic. The novelty of this research lies in deploying a fully operational real-time security system on low-resource computers, demonstrating effective threat management under constrained conditions
Unveiling the correlation between metacognitive skills, argumentation skills, and problem-solving ability in the realm of biology education
Full text linkMetacognition refers to the capacity for supervising, arranging, and directing the process of learning, while argumentation skills encompass the aptitude to construct and validate logical points. Proficiency in problem-solving holds a crucial role within the realm of scientific education. This research aims to explore the interconnection between metacognitive skills, argumentation skills, and problem-solving abilities in the domain of biology education. Employing a correlational research design, the investigation encompassed 118 students engaged in biology studies within the University of Jember's Biology Education Study Program during the academic term of 2022/2023, specifically within the Introduction to Education Science course. The research instrument utilized was a survey featuring 10 queries for each category—metacognitive skills, argumentation skills, and problem-solving abilities. Statistical analysis involved inferential methods, particularly multiple linear regression correlation. The findings unveiled a positive correlation between students' metacognitive skills and argumentation skills and their adeptness in problem-solving within the context of biology learning, signified by a noteworthy p-value of 0.000 (p < 0.05). This finding shows the importance of developing metacognitive skills and argumentation skills in improving students' problem solving abilities in learning. The implication of this finding can be used to design more effective learning strategies in improving metacognitive skills, argumentation skills and students' problem solving in biology subject
Is STEM learning can significantly effect students’ sustainability awareness?
Full text linkSustainable awareness is one of the things that individual should possess as a form of concern for the enviroment. This research aims to analyze how the STEM learning model influences students’ sustainable awareness. The study was conducted at one of Madrasah Aliyah (MA) Kota Bengkulu for 10th grade student. This reseach utilized a quasi-experimental method whith a pretest-postest non-equivalent control group design. The sample fot this study consisted of 10th grade students, with two control clasess and two experiment clasess which selected using convinience sampling technique. The research incoporates both qualitative and quantitave data. The qualitative data in this study consists of unstructured interviews results, which are utilized to strengthen the reseach data. The quantitve data includes pre-test and post-test scores processed using SPSS. The research results indicate a non-significant influence of the STEM learning model on students’ sustainable awareness (sig. 0.144>0.05). There are three indicators of sustainable awareness used in this research, derived from the synthesis of several articles, however, one out of three indicators in sustainable awareness in this study shows a significant effect, specifically in the attitude awareness indicator (sig. 0.008<0.05). therefore, it can be concluded that STEM learning model in this study does not have significant impact on students’s sustainable awareness
Meta-analysis of cooperative learning to improve learning outcomes in biology subject
Full text linkThis research aims to re-analyze the cooperative learning model to improve learning outcomes in Biology subjects. The cooperative learning model is an active learning model that focuses on group work, positive relationships, mutual cooperation, and motivating each other so that promotive interactions occur to create a learning community. This analytical research uses the meta-analysis method. The first stage of research is formulating the problem, followed by exploring existing relevant research for analysis. Data collection in this research used non-test techniques by searching through electronic journals Google Scholar, Researchgate and documentation studies in the library. There are forty-eight articles from journals and two from thesis collections found in the library. Based on the results of the analysis, it turns out that the cooperative learning model can improve student learning outcomes in Biology subjects