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"Individu yang bekerja sebagai kru penerbangan berpotensi mengalami kejadian traumatis selama bekerja, khususnya kecelakaan udara. Penelitian ini bertujuan untuk melihat gambaran terkait coping yang dilakukan oleh para kru penerbangan yang pernah atau masih memiliki stres traumatis akibat kecelakaan yang membahayakan nyawanya. Penelitian ini dilakukan dengan metode kualitatif agar dapat melihat penghayatan pribadi yang mendalam atas kecelakaan serta bagaimana masing-masing partisipan mengatasi kejadian traumatis dari saat kecelakaan terjadi hingga saat ini. Partisipan penelitian terdiri lima orang kru penerbangan yang pernah mengalami kecelakaan dan mengalami dampak berupa stres traumatis akibat kejadian tersebut. Hasil penelitian menunjukkan bahwa para partisipan menunjukkan gejala stres traumatis setelah mengalami kejadian traumatis. Lama partisipan mengatasi stres traumatis tersebut berbeda, mulai dari hitungan hari hingga tahun. Emotion focused coping, avoidance coping, dan religious coping merupakan teknik coping yang dilakukan oleh partisipan. Dalam menangani stres traumatisnya, para partisipan didukung oleh berbagai pihak eksternal dan juga bersandar pada kemampuan diri.  Meskipun mengalami kejadian yang traumatis, seluruh partisipan menganggap kejadian membawakan pengaruh positif dalam kehidupan yang membawanya pada posttraumatic growth.

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Individuals working as flight crew members potentially experience traumatic events during their work, particularly air accidents. This study aims to examine the coping mechanisms used by flight crew members who have experienced or are still experiencing traumatic stress due to life-threatening accidents. Conducted through qualitative methods, the study seeks to understand personal experiences of the accidents and how participants has coped with the traumatic events from the time of the accident until now. The study consists of five flight crew members who have experienced accidents and suffered from traumatic stress as a result. Findings indicate that participants exhibited symptoms of traumatic stress from the accidents with duration of their recovery from traumatic stress varied, ranging from days to years. Emotion-focused coping, avoidance coping, and religious coping were techniques employed by participants. In handling their traumatic stress, participants received support from various external sources and also relied on their own coping abilities. Despite experiencing trauma, all participants perceived the events to have had a positive impact on their lives, leading them towards posttraumatic growth."

"Ketahanan sektor kesehatan selama pandemi COVID-19 menegaskan pentingnya kemandirian industri farmasi dalam mendukung sistem kesehatan nasional. Di tengah pertumbuhan signifikan jumlah perusahaan dan kontribusi besar terhadap produk domestik bruto, industri farmasi Indonesia menghadapi tantangan serius terkait dampak lingkungan akibat limbah produksi dan konsumsi obat. Kompleksitas bahan baku, rantai pasok yang panjang, serta masih dominannya model ekonomi linear memperburuk risiko pencemaran lingkungan. Sebagai solusi, pendekatan ekonomi sirkular dipandang relevan untuk diterapkan, namun implementasinya menghadapi beragam faktor pendorong dan penghambat yang belum terstruktur secara prioritas. Penelitian ini bertujuan mengembangkan hierarki prioritas dari 18 faktor pendorong dan 19 faktor penghambat implementasi ekonomi sirkular di industri farmasi Indonesia menggunakan metode DEMATEL-ISM. Hasil analisis menunjukkan bahwa faktor pendorong kunci berada pada aspek proses digitalisasi dalam produksi, preferensi konsumen terhadap produk yang ramah lingkungan, dan dukungan dari organisasi non-pemerintah (NGO). Sementara itu, tingginya biaya implementasi teknologi menjadi faktor penghambat paling dominan. Temuan ini memberikan panduan strategis bagi pemangku kepentingan industri farmasi dalam merancang intervensi yang tepat untuk mempercepat transisi menuju ekonomi sirkular yang berkelanjutan.

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The pharmaceutical industry in Indonesia has demonstrated significant resilience during the COVID-19 pandemic, strengthening its strategic role in supporting national health security. Despite continued growth in the number of companies and its substantial contribution to the non-oil and gas manufacturing GDP, this expansion has also triggered environmental challenges related to pharmaceutical waste. Most pharmaceutical companies in Indonesia still operate under a linear economic model, which involves extracting raw materials, manufacturing products, and disposing of waste. This linear approach contributes to increasing environmental burdens due to the complexity of production processes and waste management at the manufacturing and consumer levels. To address these challenges, implementing a circular economy offers a promising alternative to improve resource efficiency and reduce environmental impacts. This study aims to identify and analyze the key drivers and barriers to adopting circular economy practices in the pharmaceutical industry using the DEMATEL and Interpretive Structural Modeling (ISM) methods. Among the 18 identified drivers, the top priorities include digitalizing production processes, consumer preferences for environmentally friendly products, and support from non-governmental organizations (NGOs). Meanwhile, of the 19 identified barriers, the high cost of implementing technology emerged as the main obstacle. These findings provide a foundation for policy recommendations and practical strategies to support the transition toward a more sustainable pharmaceutical industry in Indonesia. "

"Penelitian ini mengembangkan model estimasi kadar hemoglobin non-invasif menggunakan sinyal photoplethysmography (PPG) tiga panjang gelombang (hijau, inframerah, merah) dari sensor MAXM86161. Data dikumpulkan dari 52 subjek (pria, wanita nonhamil, wanita hamil), dengan 49 fitur diekstraksi dari setiap sinyal. Fitur diseleksi menggunakan enam metode (Correlation, Corr+ReliefF, Lasso, MI, MI+Lasso, ReliefF+MI) dan diuji pada empat model regresi (Random Forest, XGBoost, SVR, MLP). Kombinasi ReliefF+MI dengan 15 fitur menghasilkan performa terbaik pada Random Forest (MAE test 0,49 g/dL, R² test 0,93) dan XGBoost (MAE test 0,51 g/dL, R² test 0,93). Fitur utama meliputi ch1_h1_power dan ch3_dyn_component dari kanal hijau dan merah, serta variabel demografis (usia, gender, trimester), sedangkan kanal inframerah kurang berkontribusi. SVR menghasilkan MAE test >1,84 g/dL dan R² test <0,20, sementara MLP menunjukkan overfitting (R² val < -1,18). Prediksi mencapai akurasi 97% namun kurang akurat pada hemoglobin ekstrem (<12 g/dL atau >16 g/dL, Absolute Error ≥1,2 g/dL). Rekomendasi meliputi perluasan dataset dan optimasi regularisasi model untuk meningkatkan generalisasi sebelum penerapan klinis.

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This study developed a model for estimating non-invasive hemoglobin levels using a three-wavelength photoplethysmography (PPG) signal (green, infrared, red) from a MAXM86161 sensor. Data were collected from 52 subjects (men, non-pregnant women, pregnant women), with 49 features extracted from each signal. Features were selected using six methods (Correlation, Corr+ReliefF, Lasso, MI, MI+Lasso, ReliefF+MI) and tested on four regression models (Random Forest, XGBoost, SVR, MLP). The combination of ReliefF+MI with 15 features yields the best performance on Random Forest (MAE test 0.49 g/dL, R² test 0.93) and XGBoost (MAE test 0.51 g/dL, R² test 0.93). Key features include the ch1_h1_power and ch3_dyn_component of the green and red channels, as well as demographic variables (age, gender, trimester), while the infrared channel contributes less. The SVR produced an MAE test >1.84 g/dL and an R² test <0.20, while the MLP showed overfitting (R² val < -1.18). The prediction achieved 97% accuracy but was less accurate at extreme hemoglobin (<12 g/dL or >16 g/dL, Absolute Error ≥1.2 g/dL). Recommendations include expanding the dataset and optimizing the regularization of the model to improve generalization before clinical application. "