Universitas Ahmad Dahlan Journal
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The relationship between workplace spirituality and organizational citizenship behavior among health workers in christian-based hospitals: A quantitative correlational study
Get PDFThis study aims to analyze the relationship between workplace spirituality and organizational citizenship behavior (OCB) among healthcare professionals in Christian faith-based hospitals. A quantitative research design was employed using a total sampling technique involving 113 full-time employees. The workplace spirituality scale was developed based on Milliman’s conceptualization, encompassing three dimensions meaningful work, sense of community, and alignment with organizational values (α = 0.956). The OCB scale was constructed following Organ’s framework, consisting of five dimensions: altruism, conscientiousness, sportsmanship, courtesy, and civic virtue (α = 0.940). Pearson correlation analysis revealed a very strong and significant relationship between workplace spirituality and OCB (r = 0.961; p < 0.001). These findings indicate that workplace spirituality plays a critical role in enhancing organizational citizenship behavior among healthcare professionals
Formulation of paracetamol tablets using sodium starch glycolate (SSG) derived from pineapple stem starch (Ananas comosus (L.) Merr) as a super disintegrant using wet granulation
Get PDFThe pineapple stem, a byproduct of the pineapple plant, contains a high starch content suitable for conversion into the super disintegrant sodium starch glycolate (SSG). The starch content of pineapple stems can be modified into the super-disintegrant sodium starch glycolate (SSG). This study aims to explore the potential of modified pineapple stem starch as SSG, evaluate its physicochemical characteristics, and determine the optimal tablet. Pineapple stem starch was modified into SSG through crosslinking and carboxymethylation. Tablets were then prepared using the wet granulation method, followed by physical evaluations of tablets (weight and size uniformity, disintegration time, hardness, and friability). Four formulations with varying super disintegrant concentrations were tested: F0 (4% imported SSG, control), F1 (2% pineapple stem SSG), F2 (4% pineapple stem SSG), and F3 (6% pineapple stem SSG). The tablet evaluations for all formulations met standard requirements for each test. The study's results concluded that pineapple stem starch can be modified into SSG, exhibiting a faster swelling ability compared to natural starch. The typical functional groups of SSG appear at peaks of 1410 cm-1, 1411 cm-1, and 1415 cm-1. The best formula, F3, which is based on the physical properties of the tablets, has met the requirements with the fastest disintegration time
Analisa dan Prediksi Cost Pada Food Mart Menggunakan Model Algoritma Random Forest Regression
Get PDFPerusahaan Convenient Food Mart (CFM) berada di Amerika Serikat yang menjual berbagai produk bahan makanan, minuman ringan hingga makanan siap saji menerapkan strategi Cost Acquisition Customer (CAC) untuk mengetahui analisa target dan besaran biaya yang akan dikeluarkan sehingga tidak mengeluarkan biaya anggaran yang tinggi dan tetap mempertahankan pelanggan serta menarik pelanggan yang baru. Oleh karena itu, penulis memprediksi biaya akuisisi pelanggan tersebut menggunakan model Random Forest Regression. Berdasarkan model algoritma tersebut diperoleh nilai akurasi atau �2 score sebesar 0.901893 sehingga model algoritma tersebut memiliki performa model atau nilai keakuratan yang cukup baik. Sedangkan untuk feature importance atau variabel terpenting dari model algoritma tersebut terdiri dari promotion name dengan nilai
0.5, store city dengan nilai 0.2, dan store state dengan nilai 0.19.. Pada algoritma Random Forest Regression juga diperoleh nilai prediksi yang tidak berbeda jauh dengan nilai aktualnya sehingga besaran biaya yang dikeluarkan tidak berbeda jauh dari aslinya untuk mencapai target tertentu
Estimating Forest Carbon Stocks Using CNN and Vegetation Texture Features Extracted from UAV and Satellite Data in Telkom University
Get PDFForests play a crucial role in mitigating climate change by acting as carbon sinks, yet traditional methods of carbon stock estimation, reliant on manual tree measurements, are costly, time-consuming, and geographically limited. Recent advancements in remote sensing technologies, such as the combination of Unmanned Aerial Vehicles (UAVs) and Google Earth Engine (GEE), offer a promising alternative by integrating high-resolution local observations with global-scale data. Using the power of Convolutional Neural Networks (CNNs), this study suggests an integrated method for classifying carbon stocks by fusing textural parameters like homogeneity and entropy with spectral indices like Green Chromatic Coordinates (GCC) and Excess Green Index (ExG). CNNs are used to capture the spectral richness and structural complexity of vegetation because of their propensity to extract hierarchical spatial characteristics. The research compares the performance of various feature combinations—color-based, texture-based, and mixed features—using a hybrid framework of UAV and GEE data. It is anticipated that the results will demonstrate how spectral and textural features work together to increase classification accuracy. In addition to tackling major issues in carbon stock estimation, this scalable and integrated framework is made to adapt to a variety of forest ecosystems and aid in the creation of conservation policies and the mitigation of climate change
PERBANDINGAN KEMAMPUAN MENYELESAIKAN SOAL OLIMPIADE MATEMATIKA ANTARA METODE INDIVIDUAL LEARNING DAN COOPERATIVE LEARNING
Get PDFPenelitian ini membahas tentang: 1. Bagaimana kemampuan siswa dalam menyelesaikan soal Olimpiade Matematika menggunakan model Individual learning? (2) Bagaimana kemampuan siswa dalam menyelesaikan soal Olimpiade Matematika menggunakan model Cooperative learning? (3) Apakah terdapat perbedaan kemampuan siswa dalam menyelesaikan soal Olimpiade Matematika menggunakan model Individual learning dan Cooperative Learning?. Jenis penelitian yang dilaksanakan adalah penelitian quasi experimental design (eksperimen semu). Penelitian melibatkan dua kelompok eksperimen, yakni kelompok eksperimen I yang diberikan perlakuan individual learning dan kelompok eksperimen II yang diberikan perlakuan cooperative learning. Desain penelitian yang dilaksanakan yaitu posttest-only control design. Kegiatan penelitian dilaksanakan di SMP Negeri 3 Bukittinggi dan SMP Padang Gelugur. Populasi dalam kegiatan penelitian ini adalah seluruh peserta yang mengikuti ekstrakurikuler tahun pembelajaran 2022/2023. Subjek yang akan diteliti diambil dari seluruh populasi dalam penelitian ini. Instrumen yang digunakan dalam penelitian ini adalah tes kemampuan soal olimpiade. Kesimpulan penelitian ini adalah: (1) Kemampuan siswa dalam menyelesaikan soal olimpiade matematika dengan metode individual learning tergolong kategori cukup dengan rata-rata sebesar 67,13, (2) Kemampuan siswa dalam menyelesaikan soal olimpiade matematika dengan metode cooperative learning tergolong kategori cukup dengan rata-rata sebesar 52,60, (3) terdapat perbedaan rata-rata hasil belajar siswa antara model Individual learning dengan metode Cooperative Learning. Apabila dilihat dari rata-rata kelas, didapatkan hasil belajar individual learning lebih baik dari pada cooperative learnin
The Role of Suicide Literacy and Suicide Stigma in Shaping Attitudes toward Seeking Professional Psychological Help among Indonesian Emerging Adults
Get PDFSuicide is the fourth leading cause of premature death among emerging adults, with significant implications for public health. In Indonesia, the prevalence of suicide cases has reached 6,544, although this figure likely underrepresents the true extent of the issue. Alarmingly, only a small percentage of Indonesian adolescents, approximately 2.6%, seek psychological assistance despite the pressing need for mental health support. This study investigates the roles of suicide literacy and stigma in shaping attitudes toward seeking professional psychological help. Data were collected through an online survey involving 397 respondents. The analysis utilized multiple linear regression to assess the contributions of suicide literacy, stigma, and various demographic factors to attitudes towards seeking professional psychological help. Findings indicated that while suicide literacy, stigma, and demographic variables collectively contribute to attitudes toward seeking professional help, only suicide stigma and demographic factors (college major and family relation) significantly influenced these attitudes. This study underscores the critical need to address and reduce suicide stigma as a means of fostering positive attitudes toward seeking professional psychological help among emerging adults in Indonesia
Conceptualizing the Research Subject with SORKC: Exploring the Mental Health and Well-Being of Forced Migrants from Ukraine
Get PDFThe war in Ukraine has led to a humanitarian crisis and widespread suffering, with forced migration—both within and beyond the country's borders—being one of the most significant consequences. Numerous studies highlight the negative effects of war, particularly the prevalence of mental health disorders such as anxiety, acute stress reactions, depression, cognitive impairments, personality disorders, and PTSD. A key innovation of our study is the proposed application of the SORKC model in developing a strategy for data collection. This approach allows the collected data to be structured in a way that facilitates psychotherapeutic or counseling interventions within the cognitive-behavioral framework. Apart from direct conflict-related trauma, forced migrants endure severe stress caused by displacement and uncertain, prolonged journeys seeking safety. Upon arrival in a new country, they often face acculturation stress, also known as post-migration stress. At this stage of the study, we conducted a scientific-theoretical analysis to examine the most widely used operationalizable approaches in contemporary research on forced migrants' mental health. Our goal was to identify an optimal conceptual framework—based on the SORKC model—for understanding the components of well-being and mental health challenges among forced migrants. Based on these insights, we developed an online questionnaire that integrates standardized self-report measures with several sets of open-ended questions, discussed below. The situation of Ukrainian refugees living in Switzerland and other European countries can be stabilized through initial support services. Understanding the challenges they face and identifying those at risk of mental health problems is crucial. The use of the SORKC model as a foundation for assessing an individual’s mental state integrates all essential components: personality variables, situational factors, internal representations of experiences, behavioral reactions, and consequences. This comprehensive approach can significantly enhance the quality of psychotherapeutic services, improve access to mental health care, and provide appropriate support for forced migrants
Handwritten Digits Detection Using Convolutional Neural Network
Get PDFNumbers are a collection of many lines and curves and play a vital role in everyday life. Each person has unique characteristics in handwriting, making handwritten digit detection a challenging task. This paper presents an approach for detecting handwritten digits using deep learning algorithms, particularly the Convolutional Neural Network (CNN)-based YOLOv8 family models. The main objective is to compare various YOLOv8 variants (YOLOv8n, YOLOv8s, YOLOv8m, YOLOv8l, and YOLOv8x) and determine the most optimal one in detecting handwritten digits. Experimental results show that the YOLOv8x variant achieves the highest performance, with a mean Average Precision (mAP) of 96.9%, a recall of 100%, a precision of 99.8%, and an F1-score of 99.9%. The research contributions are achieving high accuracy in handwritten digit detection using the YOLOv8x model and utilizing a custom primary dataset of 3,000 handwritten digits for training and evaluation, which adds novelty and real-world relevance to the study
Trapped in The Digital Wave: The Role of Emotional and Social Loneliness on FoMO in Adolescent TikTok Users in East Java
Get PDFThis study examined the role of emotional and social loneliness in the fear of missing out (FoMO) among adolescent TikTok users in East Java. With the increasing use of social media among teenagers, FoMO has become a common issue linked to anxiety and discomfort over missing online interactions. A total of 205 adolescents aged 13–18 participated through a survey, using the Fear of Missing Out Scale (FoMOS) and the De Jong Gierveld Loneliness Scale (DJGLS), analyzed with linear regression. The research findings revealed that emotional and social loneliness significantly predicted increased FoMO. The novelty of this study lies in exploring the role of two dimensions of loneliness on FoMO in Indonesian adolescents. These results highlight the importance of interventions to reduce loneliness, such as strengthening peer relationships and promoting healthier social media use. Practically, the findings suggest that schools or parents should foster supportive environments and encourage balanced online–offline interactions to help mitigate FoMO and protect adolescents’ mental well-being
A 90-day intervention study of honey-black cumin and Curcuma xanthorrhiza supplementation on hematological profiles in stunted children
Get PDFThe preparation of honey-black cumin and Curcuma xanthorrhiza to improve the hematological profile of stunted children is an innovation in utilizing local resources. The primary active components of the supplement, fructose, tymoquinone, and curcumin, have demonstrated a variety of biological activities in the lab. This study aims to determine the effect of consuming honey-black cumin and Curcuma xanthorrhiza on the hematological profile of stunted children. The research method employed a quasi-experimental design with a pre- and post-test, including a control group. The 40 subjects of stunted children were divided into two groups (stunting control and stunting intervention). Univariate analysis examined demographic characteristics, while independent samples t-test and paired samples t-test were used to study numerical data. Results: Statistical analysis of paired sample t-tests revealed that equipping the stunting group with honey-black cumin and Curcuma xanthorrhiza significantly increased lymphocyte count (p <0.001) and decreased neutrophil count (p <0.001). The number of neutrophils and lymphocytes in the intervention stunting group was significantly different (p<0.001) from the control stunting group, according to independent sample t-test findings. Conclusion: A 90-day intervention of honey-black cumin and Curcuma xanthorrhiza improved the levels of leukocyte, lymphocyte, and neutrophil in stunted children