PENGARUH MODEL PEMBELAJARAN (CC) BERBASIS SCAFFOLDING TERHADAP KEMAMPUAN SCIENTIFIC REASONING FISIKA SISWA SMA

The purpose of the research is conducted to examine the effect of Scaffolding-based (CC) learning models on the ability of scientific reasoning physics of high school students. The research population was MAN Bondowoso 2019/2020 students and the research sample was the students of class XI IPA 1 and XI IPA 2. The research techniques used were observation, tests and documentation. There are two stages of data analysis technique, they are normality test and independent sample t-test using SPSS version 23. The result shows that the experimental class and control class data are normally distributed, that is the sig value. > 0.05. Independent test sample t-test using SPSS 23 on the scientific reasoningphysics capability obtained sig. (2-tailed) by 0,038 and the result of sig. (1-tailed) for 0,019 meaning that the test is <0.05. The results showed that the model based on Scaffolding had a significant effect on the ability of scientific reasoning physics of high school students of high school students.

S219. SINGLE-SUBJECT PREDICTION OF FUNCTIONAL OUTCOMES ACROSS DIAGNOSTIC GROUPS USING CLINICAL DATA

Background Psychotic disorders are associated with serious deterioration in functioning even before the first psychotic episode. Also on clinical high risk (CHR) states of developing a first psychotic episode, several studies reported a decreased global functioning. In a considerable proportion of CHR individuals, functional deterioration remains even after (transient) remission of symptomatic risk indicators. Furthermore, deficits in functioning cause immense costs for the health care system and are often more debilitating for individuals than positive symptoms. However in the past, CHR research has mostly focused on clinical outcomes like transition. Prediction of functioning in CHR populations has received less attention. Therefore, the current study aims at predicting functioning in CHR individuals at a single subject level applying multi pattern recognition to clinical data. Patients with a first depressive episode who frequently have persistent functional deficits comparable to patients in the CHR state were investigated in addition. Methods PRONIA (‘Personalized Prognostic Tools for Early Psychosis Management’) is a prospective collaboration project funded by the European Union under the 7th Framework Programme (grant agreement n°602152). Considering a broad set of variables (MRI, clinical data, neurocognition, genomics and other blood derived parameters) as well as advanced statistical methods, PRONIA aims at developing an innovative multivariate prognostic tool enabling an individualized prediction of illness trajectories and outcome. 11 university centers in five European countries and in Australia (Munich, Basel, Birmingham, Cologne, Düsseldorf, Münster, Melbourne, Milan, Udine, Bari, Turku) participate in the evaluation of three clinical groups (subjects clinically at high risk of developing a psychosis [CHR], patients with a recent onset psychosis [ROP] and patients with a recent onset depression [ROD]) as well as healthy controls. In the current study, we analysed data of 114 CHR and 106 ROD patients. Functioning was measured by the ‘Global Functioning: Social and Role’ Scales (GF S/R). In a repeated, nested cross validation framework we trained a l1-regularized SVM to predict good versus bad outcome. Multivariate pattern recognition analysis allowed to identify most predictive variables from a multitude of clinical, environmental as well as sociodemographic potential predictors assessed in PRONIA. Results Based on the 5 to 20 identified most predictive features, prediction models revealed a balanced accuracy (BAC) up to 77/72 for social functioning in CHR/ROD patients and up to 73/69 for role functioning. These models showed satisfying performance of BACs up to 69/63 for social functioning and 67/60 for role functioning in an independent test sample. As expected, prior functioning levels were identified as main predictive factor but also distinct protective and risk factors were selected into the prediction models. Discussion Results suggest that especially prediction of the multi-faceted construct of role functioning could benefit from inclusion of a rich set of clinical variables. To the best of our knowledge this is the first study that has validated clinical prediction models of functioning in an independent test sample. Identification of predictive variables enables a much more efficient prognostic process. Moreover, understanding the mechanisms underlying functional decline and its illness related pattern might enable an improved definition of targets for intervention. Future research should aim at further maximisation of prediction accuracy and cross-centre generalisation capacity. In addition, other functioning outcomes as well as clinical outcomes need to be focused on.

Promising subseasonal forecasting results based on machine learning

&lt;p&gt;A purely statistical machine learning (ML) approach was applied to forecast near-surface temperature and precipitation anomalies over land areas in the Northern Hemisphere and Tropics. A high number of principal components (PCs) from the key variables, most importantly sea surface temperatures and the near-tropopause geopotential from reanalyses, was used as predictors to forecast the 2-weekly mean predictand anomalies in each location. Separate models were fitted for different seasons and lead times in the range of 1&amp;#8211;6 weeks.&lt;br&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;To select and weight the predictors and to reduce the risk of overfitting, such ML methods as least absolute shrinkage and selection operator (LASSO) regularization and ensembling based on random sampling of the predictor data were used in addition to the dimensionality reduction with PCs.&lt;/p&gt;&lt;p&gt;&lt;br&gt;Skill analysis of the independent test sample results show that both the climatological and persistence reference forecasts were inferior compared to the ML approach on average, with all lead times, and in the majority of the target grid cells. Also, the ML approach achieved a skill that was generally comparable to the European Centre for Medium-Range Weather Forecasts (ECMWF) dynamical model.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;Previously, these particular ML methods have been shown to work in a regional approach in Europe for seasonal time scales. According to the new results, they also work in the near-global domain and in the challenging subseasonal time scales.&lt;/p&gt;

THE EFFECT OF MINDSET PERSONAL ON BEHAVIOR OF INTERNET ENTREPRENEURSHIP STUDENTS OF UNIVERSITAS PUTRA INDONESIA YPTK PADANG

The importance of understanding mindsets to direct behavior in internet-based entrepreneurship is the effort in bringing entrepreneurial learning processes close to changes in entrepreneurial behavior. This study aims to determine the grouping of students’ mind sets in two growth and fixed categories, knowing the description of mind set content and internet entrepreneurial behavior in students, knowing the differences in internet entrepreneurial behavior based on student mindsets, knowing the correlation between mind set and internet entrepreneurial behavior, then know the contribution of mindset to internet entrepreneurial behavior. This research method with a quantitative approach, using a likert scale questionnaire instrument, the sample is students registered at UPI YPTK Padang in 2018/2019 academic year totaling 148 people, sampling from the population is done by purposive sampling technique, data analysis with percentage techniques in describing data, independent test sample t test for different tests, pearson correlation product moment analysis for testing the relationship of variables and the square of r for testing the contribution. The results of the analysis state that 45% of students with a fixed mind set and 55% with a growth mind set, students with a growth mind set have better internet entrepreneurial behavior with an average of 86.82%. Hypothesis testing states that there are differences in student internet entrepreneurial behavior based on personal mindsets, there is a fairly strong correlation between mind set with internet entrepreneurial behavior, with a contribution of 20.4%. It is proven that students with growth mindsets have higher behavior in internet entrepreneurial activities, therefore to increase the ability and interest of students in entrepreneurship must start from the approach to the correct mindset about entrepreneurship.

A Generalizable Multivariate Brain Pattern for Interpersonal Guilt

Feeling guilty when we have wronged another is a crucial aspect of prosociality, but its neurobiological bases are elusive. Although multivariate patterns of brain activity show promise for developing brain measures linked to specific emotions, it is less clear whether brain activity can be trained to detect more complex social emotional states such as guilt. Here, we identified a distributed guilt-related brain signature (GRBS) across two independent neuroimaging datasets that used interpersonal interactions to evoke guilt. This signature discriminated conditions associated with interpersonal guilt from closely matched control conditions in a cross-validated training sample (N = 24; Chinese population) and in an independent test sample (N = 19; Swiss population). However, it did not respond to observed or experienced pain, or recalled guilt. Moreover, the GRBS only exhibited weak spatial similarity with other brain signatures of social-affective processes, further indicating the specificity of the brain state it represents. These findings provide a step toward developing biological markers of social emotions, which could serve as important tools to investigate guilt-related brain processes in both healthy and clinical populations.

A generalizable multivariate brain pattern for interpersonal guilt

Feeling guilty when we have wronged another is a crucial aspect of prosociality, but its neurobiological bases are elusive. Although multivariate patterns of brain activity show promise for developing brain measures linked to specific emotions, it is less clear whether brain activity can be trained to detect more complex social emotional states such as guilt. Here, we identified a distributed Guilt-Related Brain Signature (GRBS) across two independent neuroimaging datasets that used interpersonal interactions to evoke guilt. This signature discriminated conditions associated with interpersonal guilt from closely matched control conditions in a cross-validated training sample (N = 24; Chinese population) and in an independent test sample (N = 19; Swiss population). However, it did not respond to observed or experienced pain, or recalled guilt. Moreover, the GRBS only exhibited weak spatial similarity with other brain signatures of social affective processes, further indicating the specificity of the brain state it represents. These findings provide a step towards developing biological markers of social emotions, which could serve as important tools to investigate guilt-related brain processes in both healthy and clinical populations.

Effectiveness Of Behavioral Cognitive Conselvation Using Self Monitoring Techniques Through Setting Lesson Study To Improve Self Order Class X Students Of Hospital Accommodation 2 Singaraja State 2 Vocational School

This study aims to determine the effectiveness of Behavioral Cognitive Counseling self monitoring techniques to improve the "self order" of class X Hospitality Accommodation 2 of SMK Negeri 2 Singaraja. This study uses a method of collecting data in the form of a self order questionnaire. The self order questionnaire has been tested for its validity and reliability. Based on the Independent Test Sample test, it was found that thit was 20,057 with df = (n1 + n2-2) = (35 + 36) - 2 = 69 with a significance level of 5%, and obtained a ttab = 1,667. Based on these results it can be concluded that the value of thit> ttab or 20,057> 1,667. The value of ES =4,761 then ES is in the high category. The results of this study indicate that cognitive behavioral counseling with self monitoring techniques through lesson study to improve Self Order of class X Hospitality Accommodation 2 of SMK Negeri 2 Singaraja.

MENGUKUR INDEKS KEMASLAHATAN BPRS AMANAH UMMAH BOGOR

Islamic financial institutions, especially Islamic banking, should, not only be assessed from the high and low value of profitability such as conventional banking. LKS can also provide reasonable benefits or a real benefit index to the surrounding public. So, assessing the performance of Islamic banking cannot be equated with conventional banking considering that both have different goals and views. Islamic Maqashid, namely the realization of benefit - in safeguarding religion, soul, mind, descent, and property - should be considered in measuring the performance of a Sharia financial institution. The purpose of this study pioneered an effort to measure the welfare index of BPRS Amanah Umat by approaching the issue of religion, soul, mind, lineage, and wealth in the BPRS Amanah Ummah. This study uses a combination of qualitative descriptive research and quantitative analysis with research subjects from two parties, internal parties (employees) and external parties (customers) BPRS mandate Ummah. The object of research from this study is the five elements of the approach to maslahah dharuriyah. The method of data collection consists of methods of observation, questionnaires, documentation, and literature. The data validity technique uses qualitative descriptive testing, enriched with statistically processed data with analysis comparing the mean with the independent test sample t-test. The results of the study concluded that the highest value of the welfare index of the BPRS Amanah Ummah is the reason with an average value of 4.3 and the lowest value of maslahah is the maslahah descent with an average value of 3.9. Based on quantitative analysis, the overall index of the five elements of maslahah is 0.8364 (83.64%), with reason in the first place and maslahah descendants in fifth place. The quantative analysis shows that there are significant differences between the perceptions of internal and external parties. Differences in perceptions of the value of benefit are influenced by factors in the number of dependents, differences in age, gender, and level of education.

Pengaruh Live Performance, Kualitas Pelayanan, dan Persepsi Harga terhadap Kepuasan Penonton Sendratari Ramayana Prambanan

Penelitian ini bertujuan untuk mengetahui pengaruh live performance, kualitas layanan, danpersepsi harga terhadap kepuasan khalayak Sendratari Ramayana Prambanan. Penelitian dilakukan di Teater dan Pertunjukan Panggung Sendratari Ramayana Prambanan, kawasanwisata Candi Prambanan, Kota Yogyakarta dengan sampel mengumpulkan sebanyak 100responden di panggung tertutup Gedung Tri Murti dan panggung terbuka RamayanaPrambanan. Teknik pengambilan sampel dilakukan dengan metode survei menggunakankuesioner dengan teknik accidental sampling. Metode analisis menggunakan analisis regresiberganda dan bertahap pada Uji Sampel Uji Independen T-Test. Hasil penelitian regresi padapanggung tertutup secara statistik menunjukkan nilai F0 sebanyak 23.136 dan panggungterbuka menunjukkan F0 sebanyak 14.400 dengan Fsig = 0,000 <0,05. Analisis regresi padavariabel X1, X2 snf X3 berpengaruh secara signifikan. Uji T Uji Sampel Independenmenunjukkan bahwa terdapat pengaruh yang signifikan terhadap panggung tertutup dengannilai rerata 25.700 dan 23.9500 pada tahap terbuka dengan tingkat signifikansi 0,025 kurangdari 5% (0,025 <0,050) yang menunjukkan ada perbedaan antara kepuasan penonton padatahap yang dekat dan terbuka. This study aims to determine the effect of live performance, service quality, and price perceptions of the audience satisfaction Ramayana Prambanan Ballet. The study wasconducted at the Theater and Performances of Ramayana Prambanan, Prambanan Temple,Yogyakarta with a sample of 100 respondents on the closed stage of Tri Murti Building andRamayana Prambanan open stage. The sampling technique was conducted by survey methodusing questionnaires with accidental sampling technique. The analytical method usedmultiple regression analysis and stepwise on the Independent Test Sample Test T-Test. Theresult of regression research on closed stage statistically shows F0 value as much as 23.136and open stage shows F0 14,400 with Fsig = 0,000 <0,05. Regression analysis on variablesX1, X2 snf X3 have significant effect. The Independent Sample T-Test shows that there is a significant effect on the closed stage with a mean value of 25,700 and 23,9500 in the open stage with a 0.025 significance level of less than 5% (0.025 <0.050) which indicates there is a difference between audience satisfaction in the near and open stage.

FINANCIAL PERFORMANCE ASSESSMENT AND TAXPAYER COMPLIANCE TEST IN USING TOTAL BENCHMARKING AT PHARMACEUTICAL COMPANIES

<p>This study aims to:1) to determine whether there is a difference between the ratio of pharmaceutical companies from 2011-2015 with the total benchmarking ratio established by the Directorate General of Taxes; 2) to know the total use of benchmarking ratio in testing taxpayer compliance. The sample used is the annual report of 7 pharmaceutical companies listed in Indonesia Stock Exchange (BEI) for the period of 2011 - 2015. Data analysis in this study was conducted by: 1) Calculated the average of 12 ratios, i.e GPM, OPM, PPM, CCTOR, NPM, DPR, salary, lease, depreciation, other input ratios, non-operating income ratio, and off-business cost ratio; 2) Identified the difference of each ratio with benchmarking ratio by using Independent Test Sample T-test; 3) Analyzed the ratios below and above the total benchmarking ratio; 4) Used the Total Benchmarking Ratio to detect Tax Evasion. The results show the ratio of GPM, OPM, PPM, NPM, salary, rent, and other inputs, different not significant. While the ratio of CCTOR, DPR, depreciation, non-business income and non-business costs, is significantly different from the total benchmarking ratio. The use of benchmarking ratios to test taxpayer compliance resulted in recommendations to focus further analysis on accounts relating to material purchases and use, as well as non-business income and expenses.</p>