The final project is one of the requirements of graduation students. Students who want to do the final project need to see the final project result on the same topic that has been done before. With a large number of end-task documents, it certainly takes a great effort to find the final project document on the same topic. The final grouping can be automated using the document classification method. The methods that can be used to classify documents are K-Nearest Neighbors as classifier and Vector Space Model to measure the distance between documents From the initial observation, the multilabel classification in the final abstract using Vector Sapce Model and K-Nearest Neighbors has not been evaluated. Because some previous studies have led to the testing of single labels and only lead to one method, as the method is tested. Classification of abstract document final task consists of 2 stages of making distance table using vector space model and multilabel classification using KNN. This method has not been able to predict the label accurately because the exact exact ratio of its optimum value is only 0.57 when m = 4 and k = 8. This method is good enough in predicting the label even though not precisely. Can be seen from the accuracy value of its optimum which is 0.74 when m = 4 and k = 9. The exact match ratio and accuracy value of this method has the optimum value at m = k / 3.

Background: One of the causes contributing to the high maternal mortality rate in Indonesia is postpartum hemorrhage, which can be the consequence of perineal rupture. Perineal rupture can happen spontaneously in normal vaginal delivery or worsen after episiotomy, induction of labor, vacuum and forceps delivery. This study aims to know the prevalence and characteristics of perineal rupture so that it can be used as data to make policy guidelines for preventing and reducing the incidence of perineal rupture. Methods: This is a retrospective descriptive study analyzing secondary data collected from Sanglah General Hospital and nine other Regional Hospitals from January 2018 until December 2019. The data analysis technique used is a univariable analysis by calculating the frequency distribution and proportion to determine the prevalence and characteristics of the research subjects. Data were analyzed using SPSS version 20 for Windows. Results: There are 8,178 cases of vaginal delivery, 6,191 cases (75.70%) with perineal rupture and 1,987 cases (24.30%) without perineal rupture. Perineal rupture is most often found in women < 20 years old (82.66%), primigravida (81.76%), preterm gestational age (78.23%), the baby with birth weight > 4,000 grams (94.26%), underweight mother (87.50%), and women with assisted delivery by vacuum or forceps (100.00%).  Conclusion: The Prevalence of perineal rupture in this study is 75.70%, with the most characteristics being women < 20 years old, primigravida, preterm gestational age, macrosomia baby, normal IMT, assisted vaginal delivery.

Preterm delivery is one of the biggest contributors to neonatal death because the organ systems in premature babies are not yet fully developed. The cause of preterm labor is multifactorial, one of which is complex inflammation due to Group B Streptococcus (GBS) bacterial infection. Maternal serum procalcitonin is a prohormone involved in the inflammatory process, and specifically as a marker of bacterial infection. This study time to determine the relationship between vaginal GBS bacterial infection and high maternal serum procalcitonin levels in preterm labor. This study used a cross-sectional method. Samples were 31 pregnant women who came to the Obstetrics ER at Sanglah Hospital Denpasar with a diagnosis of preterm delivery that met the inclusion criteria. Vaginal mucus samples were examined at the Clinical Microbiology Laboratory of Sanglah Hospital and procalcitonin samples were examined at the Clinical Pathology Laboratory of Sanglah Hospital. Descriptive and analytical analysis was performed on the data obtained. There were 7 positive GBS results (22.5%) and 24 negative GBS results (77.5%). The results of high procalcitonin obtained 12 (38.7%) while the normal 19 (61.3%). In the Chi-Square test, the PR value was 3.4 (95% CI: 1.61-7.30) with p value = 0.004. Therefore, it can be concluded that there is a relationship between GBS infection and serum procalcitonin levels, where positive GBS infection is a risk factor that increases the occurrence of high serum procalcitonin levels in preterm labor.