Universitas Ahmad Dahlan Journal
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Analysis of the influence of conscientiousness, personality traits, and dyadic communication on decision-making among women of reproductive age in contraceptive use
Full text linkContraceptive decision-making is a complex process influenced by an interplay of psychological characteristics and interpersonal dynamics. which may contribute to dissatisfaction and discontinuation among users. This study examined the effects of conscientiousness as a personality trait and dyadic communication on the quality of contraceptive decision-making among women of reproductive age. A cross-sectional study design was employed. involving 186 married women aged 20–50 years who were current contraceptive users. recruited through purposive sampling. Data were collected using the Big Five Personality Scale (α = 0.82). the Dyadic Communication Scale (α = 0.89). and the Decision-Making Scale (α = 0.87). Multiple linear regression analysis demonstrated that conscientiousness (β = 0.563. p < 0.001) and dyadic communication (β = 0.358. p < 0.001) were significant predictors of decision-making quality. collectively accounting for 79.2% of the variance (R² = 0.792). In addition. significant differences in decision-making quality were identified across age groups. educational levels. contraceptive methods. and employment status. These findings underscore the importance of integrating psychological traits and partner communication into contraceptive counseling strategies to improve informed and satisfactory decision-making among women of reproductive age
An Extreme Gradient Boosting for Blood Disease Classification Using Hematological Parameters: A Comparative Evaluation with Ensemble and Non-Ensemble Models
Full text linkThe early detection of hematological disorders remains challenging because many conditions share similar clinical characteristics and show substantial variation in laboratory measurements. Existing machine learning systems often struggle to maintain consistent accuracy in multi-class settings with imbalanced data. The research contribution is a multi-class diagnostic framework that identifies nine hematological disease categories using only routine laboratory parameters, supported by a leakage-free evaluation protocol and a comprehensive comparison across baseline classifiers. The proposed solution uses an extreme gradient boosting model as the primary classifier and evaluates it against support vector machine, random forest, and extra trees. The method includes data cleaning and numerical standardization, and class balancing with the Synthetic Minority Oversampling Technique applied only to the training subset within each fold of ten-fold cross-validation to prevent optimistic bias. Model performance is assessed using accuracy, precision, recall, and F1-score, together with computational efficiency measured through processing time and memory usage. The results show that the extreme gradient boosting model achieves the best overall performance, with an average accuracy of 98.67%, precision of 98.80%, recall of 98.67%, and an F1-score of 98.66%. It also demonstrates efficient memory usage and shorter processing time compared with the other tested methods. The competing models perform adequately but exhibit higher variability and weaker recognition for minority classes. In conclusion, these findings indicate that extreme gradient boosting provides an accurate and efficient approach for hematology-based multi-class disease classification when evaluated under a strict, leakage-free resampling protocol
A comparative study of relationship satisfaction in dating and friends with benefits among emerging adults
Full text linkRecent shifts in romantic relationship dynamics among emerging adults have contributed to the increasing prevalence of diverse relationship forms, including dating relationships and friends with benefits (FWB). Examining how these relationship structures relate to relationship satisfaction is essential for understanding contemporary romantic experiences. This study aimed to compare levels of relationship satisfaction between individuals engaged in dating relationships and those involved in FWB relationships. Employing a quantitative comparative design with a non-equivalent group approach, data were collected from 136 emerging adults aged 20-25 years through an online survey utilizing the Relationship Assessment Scale (RAS) developed by Hendrick. Participants were recruited using purposive sampling, and group differences were examined using an independent samples t-test. The results revealed a significant difference in relationship satisfaction, with individuals in dating relationships reporting higher satisfaction levels than those in FWB relationships (p < .05). These findings highlight the critical role of emotional intimacy and commitment in fostering satisfying romantic relationships. The study contributes theoretically by extending the understanding of non-traditional relationship dynamics within the Indonesian cultural context and offers practical implications for counselors, sex educators, and developmental psychologists in supporting emerging adults’ navigation of romantic relationships
Development of an electronic student worksheet using local orchid potential to improve critical thinking and collaboration skills in biotechnology learning
Full text linkThis study aims to develop an electronic (e)-student worksheet integrated with the Project-Based Learning (PjBL) model and to enhance the critical thinking and collaboration skills of Grade X high school students in biotechnology learning based on the local potential of the Nglanggeran Ancient Volcano Orchid. Employing a Research and Development (R and D) approach, the research used the ADDIE model consisting of Analysis, Design, Development, Implementation, and Evaluation in the product development process. The e-student worksheet was created digitally using Canva and included multimedia elements to increase student engagement. The study involved a limited trial with 15 students and a field trial with 70 students divided into experimental and control groups. Data collection methods included interviews, questionnaires, and pretest-posttest essay-based assessments. Instrument validation showed all items were valid and reliable, with a Cronbach’s Alpha score of 0.843. The results revealed moderate improvement in students’ critical thinking skills with an N gain of 0.67 and collaboration skills with an N gain of 0.61 in the experimental group. These findings indicate that the experimental group outperformed the control group, validating that the contextualized PjBL approach effectively facilitates deeper cognitive processing and reinforces interpersonal skills compared to conventional methods. Statistical analysis using MANOVA confirmed significant differences between the two groups with Wilks’ Lambda value of 0.006 and p value less than 0.001. Expert and user feedback indicated the product was practical, accessible, and contextually relevant
Exploratory Data Analysis for Monitoring The Environment Variables of Sugarcane Growth
Full text linkSugarcane is vital to the national sugar industry and food security; however, its productivity is significantly affected by environmental factors, including temperature, light intensity, soil moisture, and pH. Fluctuations in these variables frequently lead to erratic yields and diminished sugar quality. Data obtained from IoT-based monitoring systems is often affected by noise, absent values, and outliers, complicating analysis. This research employs exploratory data analysis (EDA) on IoT-based sensor data to obtain comprehensive insights into environmental factors influencing sugarcane growth. The dataset contains 1,811 non-null entries from sensors that measure temperature, light, soil moisture, and pH. Data preparation encompassed cleansing, addressing missing values, and eliminating outliers. Univariate and multivariate analyses were conducted to evaluate variable distributions and correlations. The findings indicated that eliminating outliers improved data consistency and showed that temperature and pH had near-normal distributions, whereas light and soil moisture were skewed. A correlation study revealed moderate associations between light and pH, while regression analysis confirmed a favorable relationship between light intensity and pH. This research emphasizes enhancing the dependability and interpretability of IoT-based monitoring data through EDA, providing significant insights for precision agriculture. Future research may concentrate on predictive modeling and real-time decision-support systems to enhance farming operations
Batik Motifs From Mathematical Model Of Earthquake Waves And Kartini Reactor
Full text linkThe 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
Full text linkHigh-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
Full text linkThe 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
Full text linkThe 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
Full text linkIntroduction 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