Universitas Ahmad Dahlan Journal
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Assessing Direct Medical Costs and Quality of Life In Elderly Patients Using High-Alert Medications at Wongsonegoro Hospital
Get PDFHigh Alert Medications (HAM) are drugs that pose a significant risk of causing harm to patients if used incorrectly. This study aimed to evaluate the direct medical costs and quality of life of elderly patients aged 60 years and above using HAM at Wongsonegoro Hospital. An observational prospective cohort study design was employed, utilizing both secondary and primary data collection methods. Secondary data included patient demographics, medication usage, and direct medical costs obtained from hospital records and the finance department. Primary data on quality of life were gathered using the European Quality of Life 5 Dimensions (EQ-5D-5L) questionnaire. A total of 25 elderly patients were identified as users of HAM, with a gender distribution of 48% male and 52% female; 64% of these patients were aged between 60 and 70 years. The most prevalent medical condition among participants was diabetes mellitus, affecting 44% of one group and 32% of another. Sodium Chloride (NaCl) 500 mL infusion at a concentration of 3% was the most frequently administered medication (27.5%). The average direct medical cost for elderly patients using HAM was IDR 4,255,050. Additionally, the quality of life assessment revealed that 20% of patients experienced significant challenges in self-care activities. These findings highlight the impact of HAM on healthcare costs and quality of life among elderly patients, emphasizing the need for careful monitoring and management strategies to mitigate risks associated with high-alert medications
Designing UI/UX on Adaptive Skills Learning Application for Autistic Children Using Design Thinking Method and Applied Behavior Analysis Theory
Get PDFThis paper introduces he design of SemaiSelaras, an adaptive learning application tailored for children with Autism Spectrum Disorder (ASD), utilizing the Applied Behavior Analysis (ABA) theory and developed through the Design Thinking (DT) methodology. The application aims to address challenges faced by children with ASD in acquiring essential adaptive living skills. While prior studies have explored applications employing the DT methodology, this research uniquely focuses on integrating ABA theory to better meet the specific needs of users. The user-centered and iterative nature of DT ensured the application was designed to effectively address these requirements. The ABA approach, which breaks learning materials into manageable steps, supports children with ASD in gradually mastering life skills. SemaiSelaras integrates advanced technologies such as Optical Character Recognition (OCR), digital storyboard, audio discrimination learning, and video-based learning. The research contribution emphasizes the role of ICT in supporting accessibility and inclusion, helping children with ASD develop essential life skills. Usability testing was conducted using the System Usability Scale (SUS) and the SemaiSelaras prototype achieved an average score of 86.5, reflecting an excellent rating and demonstrating a high level of acceptance and usability for the application
The carbon conundrum: Hopes and hurdles in Indonesia’s OJK-led trading scheme
Get PDFIntroduction to the Problem: Indonesia is one of the world's largest carbon emitters and has good potential for carbon trading. However, several aspects of carbon trading in Indonesia still need to be addressed, including difficulties in carbon value, carbon price setting, market monitoring, and carbon trading infrastructure development.
Purpose/Objective Study: The research examines Indonesia’s carbon trading challenges and opportunities in the climate change era. Then, what is OJK's role in terms of carbon trading?
Design/Methodology/Approach: The research methods used a normative study by looking at carbon emission trading regulations in Indonesia, as well as a systematic literature review involving researching, reading, analyzing, evaluating, and summarizing scholarly literature.
Finding: The study reveals that OJK regulates carbon trading through frameworks like Law No. 4 of 2023 and OJK Regulation No. 14 of 2023, enabling carbon units to be traded as securities with a market potential of US$300 billion per year, supported by Indonesia's forests' carbon sequestration. Key challenges include developing carbon trading infrastructure, mastering emission reduction technologies, effective OJK market surveillance, and enhancing public engagement and transparency. Opportunities include economic growth from foreign investment, promoting sustainable development through renewable energy projects, and integrating with the global carbon market. OJK's role is crucial in regulating and supervising carbon trading, developing market infrastructure, ensuring compliance, building participant capacity, aligning with international standards, supporting climate change mitigation, and fostering international partnerships. Thus, OJK is essential for transparent, fair, and compliant carbon trading, addressing challenges, and leveraging opportunities, supporting Indonesia's net-zero emissions target by 2060 and global climate goals.
Paper Type: Research Articl
Development of a quick response encyclopedia (QR code) of fish catches of fishermen in air nusa serasan village natuna regency
Get PDFThe learning resources used at SMAN 1 Serasan have not used the local potential found in the Natuna Regency. Therefore, a learning resource is needed to provide a real picture of the biodiversity material students know. Based on a QR Code, this study aimed to measure the feasibility and analyze student responses to the Encyclopedia of Fish Catches of Air Nusa Serasan Village Fishermen of Natuna Regency. This research uses the research and development method with the 4D development model, namely define, design, develop, and disseminate. The dissemination stage was not carried out due to limited time and cost. The results showed that the feasibility of the encyclopedia was very feasible in the language aspect (85.6%), material aspect (89.13%), and media aspect (89.31%). Student responses showed a positive response with a small-scale value of 79,68% and a large-scale value of 87.92%. It is concluded that the QR Code-Based Fishermen’s Catch Encyclopedia Media in Air Nusa Serasan Village, Natuna Regency, is suitable for student biology learning
Criminal Profiling of Child Sexual Offenders: A Qualitative Case Study in Muaro Padang Class IIA Correctional Facility
Get PDFSexual crimes against children are currently causing great concern in society due to the increasing number of reported cases. Many discussions related to sexual crimes against children focus on the victims, including the psychological impact and the victims' future survival, while the perpetrators have not been discussed in depth. Perpetrators of sexual crimes against children are a key aspect that requires in-depth analysis to comprehensively understand this phenomenon. This study aims to identify the profile of perpetrators of sexual crimes by analyzing their common traits and unique characteristics. The research design uses a qualitative study with a thematic analysis approach with constant comparison. Data were collected through interviews and documentation involving eight inmates from the Muaro Padang Class IIA Correctional Institution. Open observation and semi-structured in-depth interviews were conducted with subjects and informants to obtain detailed information. The findings highlight several key themes in criminal profiling, including: characteristics of perpetrators and victims, dynamics of the relationship between perpetrators and victims, sequence of criminal acts, patterns of victim selection, mechanisms of victim control, perpetrator motivations, and modus operandi. Overall, this study concludes that most perpetrators are young men; have a close relationship with the victim; have a pattern of grooming through promises, gifts, or threats; and the perpetrator's motive is dominated by the motive of sexual gratification. The results of this study have implications for the police to conduct more in-depth investigations; for parents and schools to take preventive measures; and for correctional institutions to provide appropriate psychological intervention for perpetrators
The Influence of the Jigsaw Learning Model on student learning outcomes and engagement at Madrasah Tsanawiyah Al-Ikhlas Aek Botik
Get PDFThis research is motivated by the low learning outcomes and limited student engagement at MTs Al-Ikhlas Aek Botik. The purpose of this study is to determine the effect of the jigsaw learning model on students' learning outcomes and engagement. The research employed a quasi-experimental design with a Pretest-Posttest Control Group format. The study involved 42 seventh-grade students divided into two groups: an experimental group that received instruction using the jigsaw learning model, and a control group that received conventional instruction. The instrument used to measure learning outcomes and student engagement was a multiple-choice questionnaire. The data were analyzed using normality and homogeneity tests, followed by the Paired Sample t-test, the Independent Sample t-test, the Wilcoxon test, and the Mann-Whitney test. The results indicated a significant difference between pre-test and post-test scores in the experimental group. Additionally, student engagement in the experimental group increased significantly compared to the control group. Therefore, the research concluded that the jigsaw learning model has a significant positive effect on learning outcomes and student engagement at MTs Al-Ikhlas Aek Botik
Social learning in karawitan education: contemporary patterns of cultural transmission in elementary schools of Surakarta
Get PDFThis study explores contemporary patterns of cultural transmission of gamelan among children in Surakarta through the interconnection between formal school learning and community-based learning. Using an ethnopedagogical perspective grounded in Social Learning Theory (Bandura, 1986), the research examines how observation, imitation, modeling, and reinforcement function as interconnected processes in karawitan education. Data were collected through an ethnographic approach that included interviews, observations, and visual documentation by observing extracurricular practices and gamelan learning activities in elementary school programs in Surakarta. The findings show that gamelan learning functions not only as musical instruction but also as a moral enculturation process, where collective practices cultivate social values such as rukun (harmony), gotong royong (cooperation), and tata krama (cultural respect). These findings affirm that the sustainability of Javanese musical heritage depends on active collaboration between schools and local communities, which transforms traditional music into a living pedagogical medium. Integrating traditional arts into formal education can foster mindful, meaningful, and joyful learning, a culturally grounded approach that blends skills, empathy, and collective happiness
Optimizing South Kalimantan Food Image Classification Through CNN Fine-Tuning
Get PDFSouth Kalimantan's rich culinary heritage encompasses numerous traditional dishes that remain unfamiliar to visitors and digital platforms. While Convolutional Neural Networks (CNNs) have demonstrated remarkable success in image classification tasks, their application to regional cuisine faces unique challenges, particularly when dealing with limited datasets and visually similar dishes. This study addresses these challenges by evaluating and optimizing two pre-trained CNN architectures—EfficientNetB0 and InceptionV3—for South Kalimantan food classification. Using a custom dataset of 1,000 images spanning 10 traditional dishes, we investigated various fine-tuning strategies to maximize classification accuracy. Our results show that EfficientNetB0, with 30 fine-tuned layers, achieves the highest accuracy at 94.50%, while InceptionV3 reaches 92.00% accuracy with 40 layers fine-tuned. These findings suggest that EfficientNetB0 is particularly effective for classifying regional foods with limited data, outperforming InceptionV3 in this context. This study provides a framework for efficiently applying CNN models to small, specialized datasets, contributing to both the digital preservation of South Kalimantan’s culinary heritage and advancements in regional food classification. This research also opens the way for further research that can be applied to other less documented regional cuisines. The framework presented can be used as a reference for developing automated classification systems in a broader cultural context, thus enriching the digital documentation of traditional cuisines and preserving the culinary diversity of the archipelago for future generations
The Use of Attention-RNN and Dense Layer Combinations and The Performance Metrics Achieved in Palm Vein Recognition
Get PDFThe utilization of palm veins in vascular biometrics is widely recognized, offering significant potential and challenges for advancing individual recognition technology. Deep learning has played a crucial role in enhancing the accuracy of these recognition systems. In this study, we proposed combining Attention-RNN and Dense Layer. To validate this proposed method, three deep learning model scenarios were implemented: (1) a combined Dense Layer with RNN, (2) an Attention-RNN model, and (3) a combined Attention-RNN with a Dense Layer for palm vein recognition. Experimental results demonstrated that the Attention-RNN combined with the Dense Layer achieved the highest accuracy, outperforming the other two models. The model’s performance was evaluated on two datasets, achieving 95% accuracy on the Kaggle dataset and 83% on the CASIA dataset, confirming its effectiveness in palm vein recognition
Development of a scientific literacy test instrument on the immune system
Get PDFThis research aims to develop a scientific literacy test instrument on immune system material. Borg & Gall research and development modified by Sugiyono is the research methodology used.. The questions developed were 25 multiple-choice questions created using 9 indicators from the TOSLS instrument developed by Gormally, Brickman, and Lutz. The questions were tested on 75 class Xl students at SMA Negeri 7 Pontianak who were selected using a simple random sampling technique. Rasch model analysis was used to analyze the questions. The content validity results stated that it was valid (0.92) and had good interrater reliability (0.88). Item validity (item fit) shows 25 valid. Reliability shows the Cronbach's Alpha category is bad (0.50), the person reliability category is weak (0.46), the item reliability value is very good (0.94). The person separation value is 2 and the item separation value is 6. The difficulty of the questions (item measure) demonstrates Six questions are extremely difficult, six questions are difficult, eight questions are easy, and five questions are extremely easy. From the results of the analysis, It can be conclude that the questions are valid and reliable even though there are questions that need to be revised.Keywords: Scientific Literacy test instrument, 9 TOSLS indicators, Rasch Analysi