8 research outputs found
Understanding Dissociative Identity Disorder: A Literature Review
No full textInterest in dissociative identity disorder (DID) in psychiatry has increased rapidly although epidemiologically the cases of patients with DID are still rare, several studies exist trying to understand how DID might occur and the best therapeutic approach. Some of the symptoms of DID can also be found in non-clinical populations even though they are not directly related to the disorder. The findings of DID are often associated with other psychiatric disorders and can complicate the diagnosis. Various studies have tried to understand the case of DID either objectively or subjectively. Diagnosis of DID must be diagnosed by carefully experienced clinicians with clinical interviews with some proper tests that could help to identify various identities. Current DID therapy may be able to strengthen the identity of the patient’s control and prevent impaired social functioning of the patient. Many pharmacological and non-pharmacological treatments have been developed to improve symptoms of the disorder, but none of them have been effective due to the quality of the studies conducted. Further research is still needed on DID as a whole to assist in the correct diagnosis and therapy for DID patients
ANALISIS DAN PERANCANGAN APLIKASI DATABASE PENJUALAN BERBASIS WEB PADA PT. SARINAH
No full textANALISIS DAN PERANCANGAN APLIKASI DATABASE PENJUALAN BERBASIS WEB PADA PT. SARINAH
Algoritma Genetika Ganda (AGG) untuk Capacitated Vehicle Routing Problem (CVRP)
No full textCapacitated vehicle routing problem (CVRP) merupakan suatu permasalahan penyaluran barang, dengan kendaraan berkapasitas tertentu, dari satu depot ke beberapa pelanggan, yang bertujuan untuk mencari rute yang meminimalkan total jarak yang ditempuh. Contoh nyata CVRP adalah permasalahan penyaluran bahan bakar minyak ke Stasiun Pengisian Bahan Bakar Umum (SPBU). Ada banyak metode yang telah dipakai untuk menyelesaikan CVRP, namun penggunaan algoritma genetika (AG) masih belum memberikan hasil yang memuaskan. Namun keberhasilan AG untuk menyelesaikan banyak permasalahan lain menunjukkan bahwa penggunaan AG akan memberikan hasil yang semakin baik apabila terus diteliti. Untuk mempermudah menyelesaikan CVRP, dapat dilakukan dekomposisi agar CVRP terbagi menjadi beberapa permasalahan yang lebih sederhana yang dapat diselesaikan secara independen. Berdasarkan hal tersebut, dirumuskan algoritma genetika ganda (AGG) yang terlebih dahulu berusaha untuk mendekomposisi CVRP dan kemudian mencari rute terpendek pada setiap permasalahan dengan menggunakan dua algoritma genetika sederhana berbeda. Untuk mengetahui seberapa baik AGG dalam menyelesaikan CVRP, dilakukan pembandingan antara AGG dengan AG. Pembandingan AGG dengan AG dilihat dari tiga segi, yaitu jarak, waktu komputasi, dan total generasi. Agar mendapatkan hasil yang akurat, pembandingan dilakukan dengan membuat empat permasalahan yaitu P50, P75, P100, dan P125, dan untuk setiap permasalahan digunakan empat belas variasi kapasitas kendaraan yang berbeda. Didapatkan hasil bahwa untuk segi waktu komputasi dan total generasi, AGG lebih baik dari AG. Sedangkan dari segi jarak, AGG juga lebih baik dari AG kecuali untuk beberapa kapasitas kendaraan yang kecil pada permasalahan P50 dan P75. Hasil juga menunjukkan bahwa penambahan kapasitas kendaraan mengakibatkan AGG menjadi jauh lebih baik dibandingkan dengan AG.
Kata kunci: algoritma genetika (AG), algoritma genetika g anda (AGG), capacitated vehicle routing problem (CVRP
LOTS dan HOTS tentang tanaman obat: Pembelajaran sains dan lingkungan saat new normal COVID-19
No full textMedicinal plants were contextual to study during Coronavirus Disease 2019 (COVID-19). The purpose of this study was to measure Lower Order Thinking Skills (LOTS) and Higher Order Thinking Skills (HOTS) of medicinal plants and analyze the relevance of science learning during new normal COVID-19. The research method used descriptive quantitative with survey techniques carried out in 2019 and 2020. The instrument used 12 items test questions with a sample of 104 vocational students. The results showed that the students' LOTS of scores were higher (2.32) than students’ HOTS (1.69). The analysis showed that the topic of medicinal plants and the relevant environment during the new normal period of COVID-19. The conclusion from this study that the LOTS score was higher than HOTS and knowledge of medicinal plants became relevant during the new normal COVID-19
Numerical and Experimental Analysis of Total Hull Resistance on Floating Catamaran Pontoon for N219 Seaplanes based on Biomimetics Design with Clearance Configuration
No full textSeaplanes are planes that can take off and land from the surface of
water. Due to their ability to take off and land from the surface of water,
seaplanes need a pair of pontoons in the form of a catamaran hull at the bottom
of seaplanes so that the seaplanes can float above the surface of water.
Research on the catamaran hull model was conducted to examine the effect of istiophorus
platypterus design distance between hulls (clearance) variation on the
total resistance of the catamaran hull model through experimental method and
computational fluid dynamics (CFD) simulation method. There are three values of
clearance (S/L) used in this research: 0.15, 0.2, and 0.25. The most optimal
clearance configuration can be determined using a configuration which has the
lowest total resistance. The results of experiments and simulations show that
the distance between hull variations has a considerable effect on the total
resistance of the catamaran hull model. The catamaran hull, which has the
optimal clearance configuration, will cause the resulting wave interference and
resistance to be small. The model was towed with Froude numbers ranging
from 0.35 to 0.65. The results showed that hull separation made a difference in
the total resistance coefficient on the same experiment configurations. The
configurations with S/L 0.25 showed the least total resistance coefficient,
whereas the configurations with the S/L 0.15 showed the highest total
resistance coefficient. The simulations were conducted with the model with
Froude numbers ranging from 0.35 to 0.65 using 700,000 cells in meshing and an
error rate of 7.6% in convergence
Decision aid program affect regret in patients with prostate cancer treatment: a systematic review of randomized controlled trials
No full textBackground: Long-term treatment and associated side effects can affect a patient’s quality of life, one of which is the patient’s regret during the treatment program of prostate cancer. The decision aid (DA) program can help patients with chronic diseases to face disease treatment, but the effect on the treatment of prostate cancer patients has not been evaluated further. This study aims to assess the effect of a decision aid program on treatment regret in prostate cancer patients.
Methods: This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) guidelines with the search engines PubMed and Google Scholar from January–March 2023. The inclusion criteria used were randomized controlled-trial studies with full text in English, published for the last ten years, the decision regret during or after the treatment program was reported and the type of regret measurement was described.
Results: Based on a literature search, 5 studies met the inclusion criteria. The relationship between decision aid and regret was not significantly lower but had a significant effect in the long-term (12 months) and minority ethnic. Studies on a wider and heterogeneous population are needed to assess the effect of decision aids on the perspective of patients with prostate cancer programs.
Conclusions: Decision aid may affect the level of regret of prostate cancer patients in the treatment program
