Pengembangan Tes Berpikir Kreatif terhadap Hasil Belajar Akuntansi Siswa SMA Darussalam Medan

The purpose of this study was to determine the effectiveness of the accounting creative thinking test on the learning outcomes of SMA Darussalam, to determine the sensitivity of the accounting creative thinking test to the learning outcomes of SMA Darussalam and to determine the students' responses to the accounting creative thinking test on the learning outcomes of SMA Darussalam. This research is a research on the development of Sugiono's modification through four stages, namely, test design, validation, limited trials and extensive trials. The instruments used in this study were creative thinking tests, validation sheets and student response questionnaires. The instrument was declared to have met the quality of the test. Testing the quality of the test for creative thinking in accounting by looking at the results of the validity, the distinguishing power of the questions, the difficulty level of the questions and the reliability of the questions. Based on the results of the calculation, it was found that the developed creative thinking test was less effective, because the average value of students' creative thinking skills had not yet reached a value of 60. The sensitivity of the creative thinking test was sensitive to student accounting learning outcomes with an average of 0.434. Student response to the creative thinking test developed was negative which was below 80%, which was 71.85%. So it can be concluded that the sensitivity of the accounting creative thinking test and the time it takes to complete the creative thinking test is effective and usable. However, in the creative thinking test category this is not effective because to answer the test requires a sufficiently deep skill, and this has not been mastered by the students.

Predicting fire hazard areas using vegetation indexes, Case Study: Forests of Golestan province, Iran

Every year, hundreds of fires occur in the forests and rangelands across the world and damage thousands hectare of trees, shrubs, and plants which cause environmental and economic damages. This study aims to establish a real time forest fire alert system for better forest management and monitoring in Golestan province. In this study, in order to prepare fire hazard maps, the required layers were produced based on fire data in Golestan forests and MODIS sensor data. At first, the natural fire data was divided into two categories of training and test samples randomly. Then, the vegetation moisture stresses and greenness were considered using six indexes of NDVI, MSI, WDVI, OSAVI, GVMI and NDWI in natural fire area of training category on the day before fire occurrence and a long period of 15 years, and the risk threshold of the parameters was considered in addition to selecting the best spectral index of vegetation. Finally, the model output was validated for fire occurrences of the test category. The results showed the possibility of prediction of fire site before occurrence of fire with more than 80 percent accuracy.

Relationship between Sprint Velocity and Peak Moment at Shoulder and Elbow in Elite Wheelchair Basketball Players

Specific wheelchair basketball (WB) skills on the court have been poorly analyzed in relation to improving players’ performance according to their functional class. The purpose of this study was to evaluate the associations between maximum velocity (Vmax) and peak moment (PM) in the shoulder and elbow joints in specific WB skills and to compare performance between the main two groups by functional class. Twelve male WB players, divided in categories A (functional classes 1.0–2.5) and B (class 3.0–4.5), performed a sprint test battery composed by four tests (with and without ball) and isokinetic tests. A significant relationship between PM of the internal and external shoulder rotation and the flexion and extension elbow with Vmax (p < 0.05) was found. During a 5 m backward sprint test, category B was faster in the last three meters than category A (p < 0.05) and also for the rest of the test but p = NS. Category B showed higher PM than category A for internal shoulder rotation (ISR) at 60 °/s and at 180 °/s on the dominant side (DS) (p < 0.05). In conclusion, ISR on the DS was found different for both groups and showed significant relationship with Vmax in all of the tests performed. Moreover, at higher speeds the elbow flexion and extension in DS were correlated with Vmax in all the actions with ball (passing, bouncing, and braking) reflected the importance of these joints movements in acquiring speed when performing sport specific WB skills.

A-099 Depression as a Factor in Neuropsychological Test Performance

Objective Evaluate the relation between depression and performance on six widely used tests: the Boston Naming Test, Category Fluency Test, Controlled Oral Word Association Test, Corsi Block Tapping Test, Mazes and Trail Making Test (TMT), Parts Speed, A and B. Method Participants: 77 women and 33 men referred for a comprehensive neuropsychological examination in an outpatient memory disorders clinic as part of a broader neurodiagnostic workup for memory complaints and possible cognitive decline. Referral sources: neurologists (78%), primary care physicians (21%). Patients’ mean age: 59.3 (SD =12.1); education: 15.1 (SD = 2.7) years. They were screened from a larger sample (N = 175) for any known history of brain disorder or positive neurodiagnostic findings. They met performance and symptom validity criteria (Reliable Digit Span and scores on MMPI-2 validity scales). Diagnostically, 62% of the sample had mood disorders. Using their median score on the Depression scale of the MMPI-2 (T = 70), patients were classified into High and Low Depression groups (ns = 55). The two groups were no different on age, education, or predicted level of intelligence (Test of Premorbid Function). Results On all six of the neuropsychological tests (eight measures), scores were compared across the two groups. There was no main effect (MANOVA) for group, F(8,101) = 1.03, p = .427. Univariate comparisons revealed no intergroup differences across tests. Conclusion Results suggest that severity of depressive symptoms is not related to performance on these neuropsychological tests. In cooperative examinees, these tests are valid for assessing brain-based abilities independent of the examinees’ emotional status.

Predicting Fire Hazard Areas Using Vegetation Indexes, Case Study: Forests of Golestan Province, Iran

Every year, hundreds of fires occur in the forests and rangelands across the world and damage thousands hectare of trees, shrubs, and plants which cause environmental and economical damages. This study aims to establish a real time forest fire alert system for better forest management and monitoring in Golestan Province. In this study, in order to prepare fire hazard maps, the required layers were produced based on fire data in Golestan forests and MODIS sensor data.At first, the natural fire data was divided into two categories of training and test samples randomly. Then, the vegetation moisture stresses and greenness were considered using six indexes of NDVI, MSI, WDVI, OSAVI, GVMI and NDWI in natural fire area of training category on the day before fire occurrence and a long period of 15 years, and the risk threshold of the parameters was considered in addition to selecting the best spectral index of vegetation. Finally, the model output was validated for fire occurrences of the test category. The results showed the possibility of prediction of fire site before occurrence of fire with more than 80 percent accuracy.

Pengembangan Media Jurnal Karier untuk siswa MTsN

<pre><strong>Abstract:</strong> This study aims to develop Journal Career media as a medium in developing student decision-making ability in MTsN. The preferred method is the Borg &amp; Gall development model summarized into three sections (1) introduction study, (2) stage of media development, (3) stage of media test. The result of product development in <em>Jurnal Karier</em> media has fulfilled the aspect of acceptability, namely accuracy, usability, practicality and attractiveness. Expert test Guidance Counseling and counseling category is very feasible, media expert test very feasible category, guidance and counseling teachers category is very feasible, user test category is very feasible. Based on these results <em>Jurnal Karier</em> media is very feasible and can be used for student decision-making process. </pre><strong>Abstrak:</strong><em> </em>Penelitian ini bertujuan mengembangkan media Jurnal Karier sebagai media bimbingan karier dalam mengembangkan kemampuan pengambilan keputusan peminatan siswa MTs. Metode yang dipilih adalah model pengembangan Borg &amp; Gall yang diringkas menjadi tiga bagian (1) studi pendahuluan, (2) tahap pengembangan media, dan (3) tahap uji media. Hasil pengembangan produk berupa media jurnal karier sudah memenuhi aspek akseptibilitas, yaitu ketepatan, kegunaan, kepraktisan dan kemenarikan. Penilaian uji ahli BK berkategori sangat layak, uji ahli media berkategori sangat layak, uji pengguna guru berkategori sangat layak dan uji pengguna siswa berkategori sangat layak. Berdasarkan hasil tersebut, maka media jurnal karier sangat layak dan diterima untuk digunakan dalam pengembangan kemampuan pengambilan keputusan peminatan siswa.

Predicting Fire Hazard Areas Using Vegetation Indexes, Case Study: Forests of Golestan Province, Iran

Every year, hundreds of fires occur in the forests and rangelands across the world and damage thousands hectare of trees, shrubs, and plants which cause environmental and economical damages. This study aims to establish a real time forest fire alert system for better forest management and monitoring in Golestan Province. In this study, in order to prepare fire hazard maps, the required layers were produced based on fire data in Golestan forests and MODIS sensor data.At first, the natural fire data was divided into two categories of training and test samples randomly. Then, the vegetation moisture stresses and greenness were considered using six indexes of NDVI, MSI, WDVI, OSAVI, GVMI and NDWI in natural fire area of training category on the day before fire occurrence and a long period of 15 years, and the risk threshold of the parameters was considered in addition to selecting the best spectral index of vegetation. Finally, the model output was validated for fire occurrences of the test category. The results showed the possibility of prediction of fire site before occurrence of fire with more than 80 percent accuracy.