Universitas Ahmad Dahlan Journal
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    5744 research outputs found

    Batik Motifs From Mathematical Model Of Earthquake Waves And Kartini Reactor

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    The batik motif from the mathematical model of earthquake waves and the Kartini Reactor is an innovation in the world of batik that combines elements of art and science. Earthquake waves are complex physical phenomena that occur as a result of the release of energy from earthquake sources that propagate through the layers of the earth in seismic form. The mathematical modeling used to understand the dynamics of wave propagation is partial differential equations and numerical simulation methods. In addition, this research highlights the role of Raktor Kartini, a nuclear reactor located in Yogyakarta, for the development of science and technology in Indonesia. In this research, the earthquake wave propagation pattern and the dynamics of the Kartini Reactor are translated into batik motifs, creating a visual representation of scientific concepts. This approach not only enriches the cultural heritage of batik, but also introduces science to the public. The philosophy of this motif emphasizes the balance between resilience and flexibility, reflecting how technological systems must adapt to dynamic environmental conditions

    Undesirable events in the use of high-alert medicine geriatric patients at RSUPN Dr. Cipto Mangunkusumo

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    High-Alert Medications (HAM) are drugs that have a high risk of causing significant harm to patients if misused. It is estimated that one in ten geriatric patients experiences undesirable events during hospitalization related to medication use. Detect undesirable events due to the use of high-alert insulin and high-alert heparin drugs in geriatric patients at Rumah Sakit Umum Pusat Nasional (RSUPN) Dr Cipto Mangunkusumo using the trigger tool method based on positive predictive value (PPV) and determine the effect of using high-alert insulin and high alert heparin drugs on undesirable events. A retrospective cohort study will review secondary data from patient medical records (MR). The sample used was from 300 geriatric patients, 82 patients used insulin and 79 patients used heparin which met the inclusion criteria. Data were analyzed in the form of frequencies and percentages (%), calculation of PPV values, and the effect of using high-alert insulin and high-alert heparin on undesirable events using the Chi-Square test. There were 8 trigger-positive patients with undesirable events in the form of hypoglycemia from 82 insulin patients and 4 trigger-positive patients with undesirable events in the form of extended activated partial thromboplastin time (aPTT) values from 79 heparin patients. Based on the PPV value, both insulin (9.75%) and heparin (5.33%), the trigger tool has not been able to detect undesirable events when using high-alert insulin and high-alert heparin. Based on statistical tests, the p-value= 0.033 (p<0.05) for insulin and heparin p-value= 0.043 (p<0.05) meaning that there is an influence of the use of high-alert insulin and high-alert heparin on undesirable events when using both drugs. The trigger tool method cannot detect undesirable events when using high-alert insulin and high-alert heparin drugs based on laboratory triggers

    Newspaper Ad Submission and Payment Website Measurement Analysis Using McCall and PIECES

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    The transition to digital platforms in the media industry requires robust systems to ensure efficiency and user satisfaction. As with Digital Iklan Radar Banjarmasin, the Newspaper ad submission and payment website, there is a need for evaluation to comprehensively ensure software feasibility and quality. This research evaluates the quality of the Newspaper ad submission and payment website using the McCall and PIECES frameworks, comparing their strengths and identifying areas for improvement. This research contributes to determining the most suitable evaluation methods for such types of websites while offering actionable insights for developers to improve the quality of systems and services. Data collection involved online surveys with 106 respondents and 38 Likert-scale questions mapped to McCall and PIECES frameworks. Statistical tests, including validity, reliability, and an independent t-test, were applied to compare results. McCall's evaluation rated the system at 68% (Good), with low scores in Usability (38.5%), Reliability (36.77%), and Efficiency (38.15%), indicating areas needing significant improvement. PIECES evaluation scored 80.4% (Good), with Performance (81%) and Service (82.39%) rated Very Good, though Control and Security (78.55%) required enhancement. Statistical analysis with independent t-test confirmed significant differences between the two methods, indicating that both methods measure aspects of software quality from different perspectives, thus providing complementary insights for evaluation. The study highlights the complementary nature of McCall and PIECES in software quality evaluation. Recommendations include improving usability, system stability, and security for better user experiences. Future research should involve broader demographic samples and different system types to validate findings and enhance generalizability

    Factors Influencing 5G Adoption in Java: A Theory of Consumption Value and Stimulus-Organism-Response Approach

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    The rapid advancement of information and communication technology has led to a significant transformation in telecommunication networks, particularly with the introduction of 5G technology, which offers high speed, low latency, and extensive device connectivity. However, the adoption of 5G in Indonesia, particularly in Java, remains challenging due to unequal network distribution and disparities in purchasing power between urban and rural areas. This study examines the key factors influencing consumer acceptance of 5G services in Java using the Theory of Consumption Value (TCV) and Stimulus-Organism-Response (SOR) framework. A descriptive quantitative approach was applied, collecting primary data from 200 respondents through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that Safety Affordance and Facilitation Conditions significantly influence consumption value, whereas Visibility Affordance and Guidance Affordance do not. These results highlight the importance of security perceptions and supporting infrastructure in 5G adoption. This study contributes to the theoretical understanding of technology adoption by integrating TCV and SOR in the context of 5G and provides practical recommendations for policymakers and service providers to enhance 5G implementation, particularly by addressing infrastructure gaps in rural areas

    Community participation as a human right: Perspective of Indonesia's nickel downstream on the natural resource curse phenomenon

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    Introduction to the Problem: Various controversies over Indonesia's nickel downstreaming policy as a government move to add economic value to mining products are important issues that need to be studied. This problem is mainly because Indonesia is a developing country that has abundant natural resources, but has not been able to improve welfare and development for communities in mining areas, especially in the aspect of community participation. This research then highlights the perspective of the Natural Resource Curse (NRC) phenomenon for Third World Approaches to International Law (TWAIL) countries in the paradox of development stemming from the exploitation of natural resources. Purpose/Study Objectives: Community involvement in mining and other industrial activities is needed. This is related to decision making. For example, in Environmental Impact Assessment/ Analisis Mengenai Dampak Lingkungan (AMDAL) and other activities related to the lives and livelihoods of communities around mining activities. The basis of public participation is part of human rights as stated in the Constitution and International Conventions that have been ratified by Indonesia. Design/Methodology/Approach: This research uses legal normative research by examining legislation regarding nickel downstreaming as stated in Law No. 30 of 2020 on the Second Amendment to Law No. 4 of 2009 On Mineral and Coal Mining and Law No 6 of 2023 on Cipta Kerja, Findings: The findings in this study show the lack of community involvement in mining and other industrial activities in Indonesia. The existence of community participation as a human right is necessary to achieve a balance of economic growth and environmental protection as an anti-thesis to the curse of natural resources. In addition, governance and enforcement and supervision by the government in the mining sector need to be carried out effectively. Paper Type: Research Articl

    How Perceived Organizational Support Impact Teacher Engagement: The Key Role of Job Satisfaction

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    This study aims to investigate the role of perceived organizational support, on the dependent variable, work engagement, mediated by job satisfaction among teacher. The research design employed is characterized as explanatory quantitative research. A cluster random sampling technique was utilized for the selection of participants. The sample size for this investigation comprised 300 teachers. Data analysis was conducted using Smart-PLS in conjunction with the Structural Equation Modeling (SEM) methodology. The findings of this research reveal a significant relationship between perceived organizational support and work engagement among teacher, as well as a notable impact of perceived organizational support on the job satisfaction of these educators; additionally, a significant effect of job satisfaction on work engagement was identified, alongside the mediating role of job satisfaction in the relationship between perceived organizational support and work engagement among teachers

    Group Counseling Innovation: Self-Management Techniques for Enhancing Discipline Among Vocational High School Students

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    The issue of students' lack of discipline in public schools remains a major challenge in educational institutions. When disciplinary issues such as tardiness, failure to complete homework, skipping classes, and truancy are left unaddressed, they can disrupt the learning process and directly impact students' academic performance. This study aims to analyze the improvement of learning discipline among vocational high school students (SMKN) using behavioristic group counseling with self-management techniques to enhance student discipline. The research employed a quantitative approach with an experimental method. The design used in this study was a quasi-experimental design. The sample consisted of 195 students, from which 10 students were selected for the experimental group and 10 students for the control group, all of whom exhibited low levels of learning discipline. The sampling technique used was simple random sampling. Data analysis techniques included the Wilcoxon Signed Rank Test and the Kolmogorov-Smirnov 2 Independent Samples test. The findings revealed that group counseling services using a behavioristic 1approach with self-management techniques effectively improved students' learning discipline. These results provide practical implications for school counselors in delivering guidance and counseling services, particularly group counseling services, using a behavioristic approach with self-management techniques to systematically improve students' learning discipline

    Will Narcissistic People Choose Narcissistic Leaders Too? The Effect of Narcissism on Leadership Perceptions

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    Narcissism refers to a condition in which individuals excessively love themselves, whereas leadership is a process of influencing others to achieve shared goals within a group. This study aims to examine the extent to which narcissism influences perceptions of leadership and the decision to select a leader. It also explores the impact of personality similarity on leadership perceptions and leader selection decisions. The findings reveal differences in leadership perceptions between candidates with high and low levels of narcissism. Leaders with high narcissism are perceived more positively and are more likely to be recommended for leadership positions compared to those with low narcissism. However, the similarity in narcissism between leaders and candidates does not influence the decision to choose a leader. This research addresses the gap in the study of the relationship between narcissism and leadership perceptions in Indonesia, where narcissism is often viewed negatively in the context of leadership. The findings indicate that personality similarity (narcissism) between voters and leadership candidates does not significantly affect voter perceptions or recommendations. Practically, this study demonstrates that narcissism can be a factor in selecting a leader, although personality similarity does not necessarily determine voting decisions

    Enhancing Drug-Target Affinity Prediction with Multi-scale Graph Attention Network and Attention Mechanism

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    Drug-target affinity (DTA) prediction is critical to drug discovery, yet traditional experimental methods are expensive and time-consuming. Existing computational approaches often struggle with limitations in representing the structural and sequential complexities of drugs and proteins, resulting in suboptimal prediction accuracy. This study proposes a novel framework integrating Graph Attention Networks (GAT) for drug molecular and motif graphs and Bidirectional Long Short-Term Memory (BiLSTM) for protein sequences. A two-sided multi-head attention mechanism is utilized to dynamically model drug-protein interactions, enhancing robustness and accuracy. This research contribution is the development of a robust computational model that improves the accuracy of DTA predictions, reducing dependency on traditional laboratory methods. The integration of structural and sequential features provides a more comprehensive representation of drug-protein interactions. The study utilizes the Davis and KIBA, a binding affinity datasets that is widely used. the proposed model achieving the lowest Mean Squared Error (MSE) of 0.3209 and 0.1864, the highest Concordance Index (CI) of 0.8646 and 0.8616, and the highest  of 0.5046 and 0.6672, respectively, outperforming baseline models. In conclusion, this study showed the proposed approach as a reliable method for DTA prediction, offering a faster and more accurate alternative in the drug discovery research field. However, there are still limitations, such as high computational complexity and the GAT model still uses static attention. Future work will focus on addressing this issue, testing the model across broader datasets, and implementing additional drug and target representation for richer feature extraction

    Generation Z Entrepreneurship in Tourism Opportunity: An Interpretative Phenomenological analysis

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    This study aims to explore the psychological experiences of Generation Z entrepreneurs in Jakarta who seize opportunities in tourism-related businesses such as open trips, beauty services, laundry, culinary ventures, and souvenir shops. Using a qualitative phenomenological design, this research adopts an Interpretative Phenomenological Analysis (IPA) approach to understand how young entrepreneurs interpret their entrepreneurial journeys in a rapidly changing digital era. Five Gen-Z entrepreneurs participated in semi-structured interviews, and the data were analyzed through a hermeneutic and idiographic process to capture the depth of lived experiences. The analysis revealed three superordinate themes: (1) self-confidence, characterized by technological mastery and optimism in facing business challenges; (2) independence, reflected in their preference for freedom of expression and anti-hierarchical work culture; and (3) pragmatism, denoting a lifestyle-oriented pursuit of financial freedom and comfort. These findings contribute to a deeper understanding of Gen-Z entrepreneurial identity and offer practical implications for developing entrepreneurship education and character-building programs in both formal and informal educational settings

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