Kerja sif yang dilakukan pada malam hari atau dengan sistem kerja yang berubah-ubah dapat mengganggu fungsi kognitif dan irama sirkadian. Dokter yang menjalani kerja sif lebih dari 24 jam memiliki risiko lebih tinggi melakukan kesalahan medis akibat penurunan fungsi kognitif. Irama sikardian dapat diketahui dari pola sekresi kortisol. Untuk mengetahui perbedaan pola kerja sif dengan gangguan fungsi kognitif dan kadar kortisol saliva pada residen Kedokteran Emergensi, maka dilakukan penelitian di IGD RSUD Dr. Saiful Anwar Malang pada kurun waktu Juni hingga Juli 2016. Desain penelitian adalah observasional dengan pendekatan potong lintang. Sebanyak tiga puluh residen Kedokteran Emergensi memenuhi kriteria inklusi dan eksklusi dibagi menjadi 2 kelompok, yaitu kelompok kerja sif 12 jam dan kerja sif lebih dari 24 jam. Skala MoCA-Ina digunakan untuk menilai gangguan fungsi kognitif. Cortisol Awakening Response (CAR), total kortisol dan laju penuruan kortisol saliva digunakan untuk mengetahui pola sekresi kortisol. Uji T tidak berpasangan dan Uji Mann Whitney digunakan untuk membedakan kedua kelompok. Didapatkan hasil berupa perbedaan bermakna nilai MoCA-INA antara kelompok kerja sif 12 jam dan kerja sif lebih dari

Pencegahan penyebaran Covid-19 ini tidak bisa hanya dengan tenaga kesehatan saja yang berperan, namun dibutuhkan kerjasama lintas sector. Unsur yang terlibat adalah pemerintah, masyarakat, dunia usaha, akademisi, dan media. Agar pencegahan di masyarakat dapat berjalan dengan baik maka harus ada tokoh atau kader kesehatan yang aktif melakukan promosi kesehatan pencegahan Covid-19. Program pengabdian masyarakat kampong tangguh ini bertujuan untuk memberikan edukasi perilaku hidup bersih dan sehat untuk mencegah penularan COVID-19 kepada kader kesehatan di masyarakat. Metode yang digunakan dalam program  pengabdian masyarakat ini adalah pemberian intervensi pada masyarakat dengan pendekatan post tes only terhadap 76 partisipan kader kesehatan di 8 kelurahan di Kota Malang. Media yang digunakan untuk edukasi adalah poster PHBS dan praktik langsung. Hasil yang didapatkan yaitu skor pengetahuan PHBS 74,21 dari skor maksimal 100dan skor observasi perilaku 26,53 dari skor maksimal 30. Sebagian besar sudah ada sarana untuk PHBS namun dalam pelaksanaan protocol kesehatan masih kurang. Dapat disimpulkan bahwa kegiatan ini membawa dampak positif bagi kader dan masyarakat luas karena akademisi turun langsung memberikan contoh PHBS.

In the Islamic world, as a part of the faith, every Muslim must believe that every time there is a disease, Allah SWT has also sent down the medicine. The current issue is that the extraction of information related to diseases and drugs from the Qur'an and Hadith has not been optimal, given the increasing number of diseases that have complexities of symptoms that require long and in-depth investigation if done manually. In addition, there are also some dangerous diseases for humans the cure of which is unknown, one of which is Covid-19. This study proposes an automatic search approach in the form of design framework as Islamic Medicine Engine using Meta-Deep Artificial Intelligence (AI) technology based on optimization techniques that have reliable capabilities in the search process for solutions so that no matter how difficult the search space is, it will still be easy to find the optimal solution. The optimization technique uses the particle swarm optimization (PSO) algorithm which is very fast to identify the solution point being searched, one of the reasons of which is because it contains a meta-heuristic technique. The way this method works is to find the optimal fitness measurement performance value of each particle candidate or as a forerunner to an optimal solution according to constraints/obstacles or parameters of disease symptom features that are included in the testing process for any disease or it is general, especially for Covid-19. From the experimental results, it was discovered that the PSO algorithm could provide convergent recommendations, meaning that it has met the entry criteria for optimum and dynamic global conditions in the form of many alternative solutions offered as candidates for herbal medicine, or at least as a supplement to cure any disease, especially Covid-19, with the permission of Allah SWT.

No abstract

COVID-19 still become a major problem for the entire world population, with the number of cases reaching 46 million as of October 2020. The COVID-19 widespread is one of a kind since of the scale, speed of spread, and need of logical information related to this unused disease. Hospitals, especially ER as an entrance for patients, are required to face various challenges related to this pandemic. However, the health service resilience system facing the COVID-19 pandemic is still looking for its optimal form so it is interesting to being researched further. Research was conducted using descriptive methods in ER Mitra Delima Hospital, type C private hospital which is non COVID referral. The research data was obtained from interviews with the Head Deputy of ER, COVID patient reports, policy changes and Operational Standards Procedures (SOP) as well as data on the use of Personal Protective Equipment (PPE) from March-August 2020. The COVID-19 pandemic led ER Mitra Delima Hospital to make several policy changes by changing patient flow, layout and screening of IGD to COVID and non-COVID, the addition of ER beds and staff, and changes to referral SOP and PPE to improve patient safety and ER personnel of Mitra Delima Hospital. Most health services, especially ER Mitra Delima Hospital, will face an increase in COVID-19 patients and must anticipate the consequences, including increasing the number of beds, personnel, and policy changes to guarantee the commitment of hospital management staff in order to improve the hospital's resilience to disasters, promote effective leadership, and provide a more structured communication path for the community and policy makers.