DETERMINAN STRUKTUR MODAL PADA BANK PERKREDITAN RAKYAT DI TANGERANG TAHUN 2013 - 2017

The purpose of this study is to determine the effect of Liquidity and Tax on capital structure in the perspective of pecking order theory. The population in this study is the Bank Perkreditan Rakyat (BPR) company in Tangerang for the period 2013-2017. With the purposive sampling method obtained a total sample of 45 Bank Perkreditan Rakyat (BPR). Model analysis using multiple linear regression analysis. Using the F-test to determine the simultaneous influence between company characteristics and capital structure. Using the ttest to test the partial correlation of each independent variable on the capital structure. The results showed that the liquidity variable had a positive and significant effect on the capital structure. While the tax size variable has a positive and not significant effect on the capital structure.Keywords : DER (Debt to Equity Ratio), CR (Current Asset), Ta

Comparison of Naïve Bayes Algorithm and Decision Tree C4.5 for Hospital Readmission Diabetes Patients using HbA1c Measurement

Diabetes is a metabolic disorder disease in which the pancreas does not produce enough insulin or the body cannot use insulin produced effectively. The HbA1c examination, which measures the average glucose level of patients during the last 2-3 months, has become an important step to determine the condition of diabetic patients. Knowledge of the patient's condition can help medical staff to predict the possibility of patient readmissions, namely the occurrence of a patient requiring hospitalization services back at the hospital. The ability to predict patient readmissions will ultimately help the hospital to calculate and manage the quality of patient care. This study compares the performance of the Naïve Bayes method and C4.5 Decision Tree in predicting readmissions of diabetic patients, especially patients who have undergone HbA1c examination. As part of this study we also compare the performance of the classification model from a number of scenarios involving a combination of preprocessing methods, namely Synthetic Minority Over-Sampling Technique (SMOTE) and Wrapper feature selection method, with both classification techniques. The scenario of C4.5 method combined with SMOTE and feature selection method produces the best performance in classifying readmissions of diabetic patients with an accuracy value of 82.74 %, precision value of 87.1 %, and recall value of 82.7 %

Pengaruh Berat Pati Umbi Singkong Karet (Manihot Glaziovii) dan Volume Gliserol terhadap Kualitas Bioplastik

Plastic become a serious problem for the environment because of their nature which is difficult to degrade by microoganism. So there needs to be a solution to overcome this and scientists have found several ways to reduce this problem and one of them is using bioplastic. The development of bioplastics from organic materials has been largely done from starchy materials. The selection of rubber cassava is due to the abundance and lack of use of rubbery cassava itself. Therefore in this study was conducted to study the manufacture of bioplastic from rubbery cassava tuber starch. This bioplastic is made from starch for several reasons, among others, plastics made from starch / biomass will more easily decompose by nature and the abundant amount and the lack of utilization of rubbery cassava. The raw material in the manufacture of bioplastik is rubbery cassava starch. This research was done by isolating the rubbery cassava starch to get the starch. Then mixing with aquadets, chitosan, acetic acid, and glycerol with starch (5, 6, 7, 8, 9 gram) and glycerol (2, 3, 4, 5, 6 ml). After obtaining the plastic film layer is tested to its charatelistic such as tensile strength test, elongation test, biodegradation test and statistical test to strengthen the data obtained. From the research that has been done, the mechanical properties of plastics for elongation test showed that the composition: 7 grams of starch, 4 ml glycerol, with elongation of 32% and then the loop obtained 35% elongation with the same composition, tensile strength test obtained composition: 7 grams of starch, 2 ml glycerol, with a tensile strength of 1.85094 MPa and then the repeating obtained tensile strength 1.70609 MPa with the same composition, while for biodegradation test found 100% degradable plastic for 10-11 days with a composition of 9 grams of starch, 4 ml glycerol

PERANAN PLANT CATALYST DAN PUPUK KOMPOS TERHADAP PERTUMBUHAN DAN HASIL TANAMAN SAWI (Brassica juncea)

Tujuan penelitian ini untuk mengetahui pengaruh penggunaan Plant Catalis dan pupuk kompos terhadap pertumbuhan dan hasil tanaman sawi. Terjadi interaksi antara konsentrasi Plant Catalis dan dosis kompos terhadap variabel pengamatan panjang tanaman, jumlah daun, luas daun, berat basah tanaman (hasil). Dosis kompos 20 ton / ha menentukan hasil yang baik untuk setiap variabel tanaman panjang (28,03 cm), jumlah daun (9), persegi daun (120,72 cm2) dan berat basah tanaman (150,88 g)

Conditional Transgenesis Using Dimerizable Cre (DiCre)

Cre recombinase is extensively used to engineer the genome of experimental animals. However, its usefulness is still limited by the lack of an efficient temporal control over its activity. We have recently developed a conceptually new approach to regulate Cre recombinase, that we have called Dimerizable Cre or DiCre. It is based on splitting Cre into two inactive moieties and fusing them to FKBP12 (FK506-binding protein) and FRB (binding domain of the FKBP12-rapamycin associated protein), respectively. These latter can be efficiently hetero-dimerized by rapamycin, leading to the reinstatement of Cre activity. We have been able to show, using in vitro approaches, that this ligand-induced dimerization is an efficient way to regulate Cre activity, and presents a low background activity together with a high efficiency of recombination following dimerization. To test the in vivo performance of this system, we have, in the present work, knocked-in DiCre into the Rosa26 locus of mice. To evaluate the performance of the DiCre system, mice have been mated with indicator mice (Z/EG or R26R) and Cre-induced recombination was examined following activation of DiCre by rapamycin during embryonic development or after birth of progenies. No recombination could be observed in the absence of treatment of the animals, indicating a lack of background activity of DiCre in the absence of rapamycin. Postnatal rapamycin treatment (one to five daily injection, 10 mg/kg i.p) induced recombination in a number of different tissues of progenies such as liver, heart, kidney, muscle, etc. On the other hand, recombination was at a very low level following in utero treatment of DiCre×R26R mice. In conclusion, DiCre has indeed the potentiality to be used to establish conditional Cre-deleter mice. An added advantage of this system is that, contrary to other modulatable Cre systems, it offers the possibility of obtaining regulated recombination in a combinatorial manner, i.e. induce recombination at any desired time-point specifically in cells characterized by the simultaneous expression of two different promoters

Classification of Lexile Level Reading Load Using the K-Means Clustering and Random Forest Method

There are various ways to improve the quality of someone's education, one of them is reading. By reading, insight and knowledge of various kinds of things can increase. But, the ability and someone's understanding of reading is different. This can be a problem for readers if the reading material exceeds his comprehension ability. Therefore, it is necessary to determine the load of reading material using Lexile Levels. Lexile Levels are a value that gives a size the complexity of reading material and someone's reading ability. Thus, the reading material will be classified based a value on the Lexile Levels. Lexile Levels will cluster the reading material into 2 clusters which is easy, and difficult. The clustering process will use the k-means method. After the clustering process, reading material will be classified using the reading load Random Forest method. The k-means method was chosen because of the method has a simple computing process and fast also. Random Forest algorithm is a method that can build decision tree and it’s able to build several decision trees then choose the best tree. The results of this experiment indicate that the experiment scenario uses 2 cluster and SMOTE and GIFS preprocessing are carried out shows good results with an accuracy of 76.03%, precision of 81.85% and recall of 76.05%

CAN K-NEAREST NEIGHBOR METHOD BE USED TO PREDICT SUCCESS IN INDONESIA STATE UNIVERSITY STUDENT SELECTION

Seleksi Nasional Masuk Perguruan Tinggi Negeri (SNMPTN) is one of the selection pathways for student admissions to enter state universities (PTN) in Indonesia. This study aims to predict the chance of being accepted in the desired PTN and the lack of early monitoring of students for SNMPTN. The data source from the grades reports card of SMAN 1 Pakong, SMAN 8 Kediri, and SMAN 1 Pamekasan by using the average input of compulsory subjects, majors (Science / Social Sciences) and semester 1 to semester 5 which later the output to be accepted or not accepted An imbalanced dataset potentially affect the performance of the classification method used. Hence, we need to eliminate the imbalance class using SMOTE. Using 10-fold cross validation, this study compared K-Nearest Neighbor (KNN) without SMOTE and K-NN with SMOTE. The goal is to find the best prediction model between the two methods. The prediction model is applied to software for teachers to monitor student grades and ensuring students to pass the SNMPTN. The results show that KNN without SMOTE has higher accuracy than KNN with SMOTE. However, KNN with SMOTE outperform than KNN without SMOTE in precision and recall, KNN with SMOTE with K = 3 reached 80.08% Accuracy, 74.42% Precision and 91.68% Recall

STUDI OPTIMASI PENENTUAN BATAS DEBIT UNTUK OPERASIONAL YANG NOMINAL DENGAN POLA OPERASI WADUK METODE COMPARE MEANS PADA PLTA SUTAMI

Kebutuhan listrik dimasa mendatang akan semakin meningkat seriring dengan meningkatnya jumlah penduduk dan berkembangnya pembangunan di segala sektor. Namun kebutuhan listrik tidak selamanya dapat terpenuhi tepat waktu oleh sumber daya littrik yang ada. Studi ini diperlukan untuk peningkatan pada sisi pembangkit, dimana dalam hal ini adalah Pembangkit Listrik Tenaga Air (PLTA).Studi ini dilaksanakan untuk meningkatkan potensi energi listrik yang dihasilkan oleh PLTA Sutami. Diharapkan dengan adanya studi ini, PLTA Sutami dapat meningkatkan kapasitas energi listrik yang dihasilkan. Studi ini menggunakan batas debit dengan pola operasi waduk untuk mendapatkan hasil yang optimal.Hasil dari kajian ini adalah dengan menggunakan pola operasi waduk, terdapat selisih energi dengan analisis teoritis sebesar 130,056 MWh. Selain itu, grafik elevasi waduk menunjukkan level elevasi masih jauh dari batas bawah sehingga masih aman untuk meningkatkan potensi energi. Produksi energi listrik PLTA per tahun mencapai 491816,206 MWh atau sama dengan 491,82 GWh. Kata kunci : PLTA, Energi, Pola Operasi Waduk, Elevasi   Abstract Electricity needs in the future will increase along with the increasing population and the development of development in all sectors. However, electricity needs are not always fulfilled on time by the existing liturgical resources. This study is needed for an increase in the generator side, which in this case is a Hydropower Plant. This study was carried out to increase the potential of electrical energy produced by the Sutami Hydropower Plant. It is hoped that with this study, the Sutami Hydropower Plant will increase the capacity of the electricity produced. This study uses a discharge limit with a reservoir operation pattern to obtain optimal results. The result of this study is by using a reservoir operation pattern, there is an energy difference with a theoretical analysis of 130,056 MWh. In addition, the reservoir elevation graph shows that the elevation level is still far from the lower limit so it is still safe to increase energy potential. Hydroelectric power production per year reaches 491816,206 MWh or equal to 491.82 GWh. Keywords: Hydroelectric Power Plant, Energy, Reservoir Operation Pattern, Elevatio