Pengaruh Metode Pembelajaran dan Kecerdasan Linguistik Terhadap Kemampuan Bahasa Arab Siswa Kelas II SDIT Anak Sholeh

2016 ◽  
Vol 18 (2) ◽  
pp. 77
Author(s):  
Ayif Royidi

The purpose of this research is to find out the influence of Three-ber method and linguistic intelligence implementation on Arabic students learning Ability of Arabic language. The research is comparative quantitative with the experimental methods and 2 x 2 by level design .A test is the instrument, used to gather the linguistics data intelligence and student Ability of Arabic language. ANAVA is applied for hypothesis testing two lanes continued to Tukey Test .The results of the study (1) .The Students who learn Arabic trough Three-ber method achieve better than the students who is being taught conventionally(2) There is an interaction between learning method and linguistics intelligence(3)The students whose high linguistic intelligence and learn using Three-ber method achieve better than the students who learn conventionally(4). Arabic students learning Ability of Arabic language whose low linguistic intelligence and learn using Three-ber method achieve lower than student who is being taught conventionally.

2018 ◽  
Vol 7 (4.9) ◽  
pp. 258
Author(s):  
Yetty Morelent ◽  
Hendra Hidayat ◽  
Susi Herawati ◽  
Marsis . ◽  
Riche Karnilla

The purpose of this study is to analyze language skills competencies using the intrinsic element of the short stories and its impact on students’ learning motivation using discovery learning method in senior high school. The research was Quasi-Experiment with a 2x2 factorial design. Data collection was conducted through two instruments items; non-test (questionnaire) for the learning motivation and test (essay) for the ability to identify intrinsic elements of short stories. The results of the research indicated that firstly, the ability to identify intrinsic elements of short stories of the students who were taught by using discovery learning method is better than students ability who were taughtconventionally. Secondly, it means that the ability to identify the intrinsic elements of short stories of the highly motivated students who were taught by using discovery learning method was higher than highly motivated students who are taught by using conventional method.. Thirdly, the ability to identify intrinsic elements of theshort story of students who have low learning motivation taught by using discovery learning method is higher than the students have low learning motivation taught by using conventional methods. Finally, there is no interaction between discovery learning method and learning motivation on the ability to identify the intrinsic elements of the short stories.From the result, it can be concluded that discovery learning methods can be used in learning ability to identify the intrinsic element of short stories. 


1991 ◽  
Author(s):  
Charles M. Wharton ◽  
Thomas D. Wickens ◽  
Patricia W. Cheng

Author(s):  
Sobron A.N, Bayu, Rani, Meidawati

Daring Learning provides effective learning methods, such as practicing with the existence of relevant feedback, combining collaborative activities with independent learning. Learning in the classroom with a combination of online learning gives students more interest. This study aims to develop a study of the influence of Daring Learning on the interest in learning science of grade VI students at third Elementary School of Karanglo Tawangmangu. This research method consist 26 students using quasi-experimental methods (Quasi Experiments), the population divided into 2 classes including class VI A with 13 students and class VI B with 13 students. Sampling taken in class VI A as the experimental class and class VI B as the control class. The results showed that the learning process using the Daring Learning method especially in science at third Elementary School of Karanglo Tawangmangu had used interesting media, concluding that Daring Learning-based interactive learning media, students were increasingly enthusiastic and not boring especially in learning science using the Daring Learning method. Based on the research stated on the questionnaire responses of students with Daring Learning, it shows that the cateralization is agrees to allow Daring Learning method in third Elementary School of Karanglo Tawangmangu.


2021 ◽  
Vol 7 (5) ◽  
pp. 3389-3395
Author(s):  
Wei Feng ◽  
Yi Zhao ◽  
Xianhong Wang

With the rapid development of computer technology, the application of computer technology in various fields is more and more common, and it also plays an increasingly important role in biomedicine. In recent years, microscopic image processing has always been an important part of biomedicine, and binocular indirect fundus microscope is playing an increasingly important role in vitreoretinal surgery. The purpose of this paper is to study the application effect of binocular indirect fundus microscope in vitreoretinal surgery, and to master the role of binocular indirect fundus microscope, which is important for biomedicine. This paper studies the effect of binocular indirect fundus microscope in vitreoretinal surgery through the study of the role of vitreous and binocular indirect fundus microscope, as well as the investigation of experimental methods. It highlights that the effect of binocular indirect fundus microscope is better than that of direct microscope in retinal surgery.The results show that binocular indirect fundus microscope is more suitable for vitreoretinal surgery. 85% of the patients with vitreoretinal surgery have better effect after surgery. No matter from the comparison of visual acuity improvement or retinal thickness, binocular indirect fundus microscope has better effect in vitreoretinal surgery. It also provides reference for how to prevent vitreoretinal diseases disease has positive significance. We expect to produce effective methods as soon as possible to solve the problems related to vitreous diseases, which can bring the bright future to ophthalmic patients.


2011 ◽  
Vol 6 (1) ◽  
pp. 54-62
Author(s):  
Melati Indri Hapsari ◽  
Sanoto Hadi

This research aimed to know if in Samin community reading and writing skills of literacy education participants taught with intensive bilingual method are better than those taught with SAS method. The research conducted in Tanduran Village Blora Regency in 2010, involved 40 research subjects comprising 20 subjects for experimental group with intensive bilingual method and 20 subjects with SAS method for controlling group. The data obtained were analyzed in two stages i.e. in the preliminary analysis and in hypothesis testing. The result of the research indicates, the reading and writing skills of literacy education participants in Samin community taught with intensive bilingual method are better than those taught wit SAS method.


2019 ◽  
Vol 11 (3) ◽  
pp. 298 ◽  
Author(s):  
Linyi Liu ◽  
Yingying Dong ◽  
Wenjiang Huang ◽  
Xiaoping Du ◽  
Juhua Luo ◽  
...  

In order to monitor the prevalence of wheat powdery mildew, current methods require sufficient sample data to obtain results with higher accuracy and stable validation. However, it is difficult to collect data on wheat powdery mildew in some regions, and this limitation in sampling restricts the accuracy of monitoring regional prevalence of the disease. In this study, an instance-based transfer learning method, i.e., TrAdaBoost, was applied to improve the monitoring accuracy with limited field samples by using auxiliary samples from another region. By taking into account the representativeness of contributions of auxiliary samples to adjust the weight placed on auxiliary samples, an optimized TrAdaBoost algorithm, named OpTrAdaBoost, was generated to map regional wheat powdery mildew. The algorithm conducts this by: (1) producing uncertainty associated with each prediction based on the similarities, and calculating the representativeness contribution of all auxiliary samples by taking into account the overall uncertainty of the wheat powdery mildew map; (2) calculating the errors of the weak learners during the training process and using boosting to filter out the unreliable auxiliary samples by adjusting the weights of auxiliary samples; (3) combining all weak learners according to the weights of training instances to build a strong learner to classify disease severity. OpTrAdaBoost was tested using a dataset with 39 study area samples and 106 auxiliary samples. The overall monitoring accuracy was 82%, and the kappa coefficient was 0.72. Moreover, OpTrAdaBoost performed better than other algorithms that are commonly used to monitor wheat powdery mildew at the regional level. Experimental results demonstrated that OpTrAdaBoost was effective in improving the accuracy of monitoring wheat powdery mildew using limited field samples.


2019 ◽  
Vol 90 (1) ◽  
pp. 69-76 ◽  
Author(s):  
Hye-Won Hwang ◽  
Ji-Hoon Park ◽  
Jun-Ho Moon ◽  
Youngsung Yu ◽  
Hansuk Kim ◽  
...  

ABSTRACT Objectives To compare detection patterns of 80 cephalometric landmarks identified by an automated identification system (AI) based on a recently proposed deep-learning method, the You-Only-Look-Once version 3 (YOLOv3), with those identified by human examiners. Materials and Methods The YOLOv3 algorithm was implemented with custom modifications and trained on 1028 cephalograms. A total of 80 landmarks comprising two vertical reference points and 46 hard tissue and 32 soft tissue landmarks were identified. On the 283 test images, the same 80 landmarks were identified by AI and human examiners twice. Statistical analyses were conducted to detect whether any significant differences between AI and human examiners existed. Influence of image factors on those differences was also investigated. Results Upon repeated trials, AI always detected identical positions on each landmark, while the human intraexaminer variability of repeated manual detections demonstrated a detection error of 0.97 ± 1.03 mm. The mean detection error between AI and human was 1.46 ± 2.97 mm. The mean difference between human examiners was 1.50 ± 1.48 mm. In general, comparisons in the detection errors between AI and human examiners were less than 0.9 mm, which did not seem to be clinically significant. Conclusions AI showed as accurate an identification of cephalometric landmarks as did human examiners. AI might be a viable option for repeatedly identifying multiple cephalometric landmarks.


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