Reviewerly/exHarmony huggingface dataset:
Implementasi Sistem Informasi Prediksi Hasil Penjualan Perangkat Komputer Menggunakan Metode Double Exponential Smoothing

Prediction is an activity to predict a situation that will occur in the future by passing tests in the past. One way to get sales information in the future is to make sales forecasting. This sales forecast uses the Double Exponential Smoothing method because this method predicts by smoothing or smoothing past data by taking an average of several years to estimate the value of the coming year and this method uses the time series method. The results of this study are the right sales prediction information system, in order to determine the existing inventory of goods in accordance with the demand (demand) so that there is no overstock or lack of inventory in the future
SP-094: Methods for automatic planning

In conventional non-adaptive radiotherapy, we try to consider all possible positions and shapes of the target volume and the organs at risk (OARs) when making a treatment plan.In contrast, in adaptive radiotherapy, the treatment is adapted to account for internal anatomical changes, which may change from day to day, or even within a fraction.The adaptation can be based on anatomy, but can also be based on the dose that has already been delivered.The adaptation can be done off line between treatments, or online immediately before treatment.In conventional radiotherapy, imaging and contouring is performed at baseline.The generated treatment is delivered over the course of a treatment series.Ideally possible changes in anatomy that may be foreseen during treatment are included or in case of significant changes (eg.significant weight loss) the procedure is repeated,
An Indonesian National English Textbook for Secondary Level: Is It Qualified Enough?

This study describes how a national English textbook entitled When English Rings a Bell for Junior High School Level meets criteria of Cunnignswirth’s good English textbook. Interviews with the teacher and students of grade VII at SMP Muhammadiyah 10 Surakarta were conducted to investigate how the textbook is considered qualified. Document review was also applied to analyse the textbook. The results show that all chapters in the “When English Rings a Bell” textbook fulfill the Cunningsworth’s criteria of a good textbook. The textbook was suitable enough to be used for media in teaching learning process for the seventh grade students of Junior High School. From the teacher’s view, the textbook is appropriate with the learning objectives of the curret curriculum. This is in line woth the Cunningsworth’s criteria. However, some students found difficulties in using this textbook: 1). they still need teacher’s role to clearly explain the materials, 2). Supporting materials from other sources to improve the students’ ability in both comprehending the concept and doing practices. These two may be caused by the lack of examples in the textbook.
PENGARUH STRATEGI METAKOGNISI TERHADAP PEMAHAMAN MEMBACA TEKS BERBENTUK DESKRIPTIF PADA MAHASISWA MANAJEMEN INFORMASI KESEHATAN INSTITUT KESEHATAN DELI HUSADA DELITUA

Doing reading comprehension needs active process in doing. The suitable teaching-learning process must achieve the objective of reading comprehension. In fact, reading skill is not easy. Lecturer should use good strategy in teaching about reading comprehension. It also happens for students that they find some hard in doing reading comprehension well. They can’t get good value for understanding the text meaning. So, the strategy is very useful to solve the difficulties in reading comprehension. This study is concerned with the reading effect about descriptive text through Metacognition strategy application. This study learns about students reading skills in descriptive text. This research is conducted based on experimental quantitative design which has two randomized subject. The population were Health Information Management students at Deli Husada Deli Tua Health Institute grade I, II and III. The random sample was taken from grade I and III as group of experimental and grade II as the control group. In every group was given pre-test and post-test in same test but the experimental group accepted the treatment of Metacognition strategy in the study. The result of this research showed that there was difference between the mean of the group of experimental and the group of control. The statistic calculation showed that t-observed (4.1) is higher than t-table (1.67) for the degree of freedom (df) 58 at the level α = 0.05 level of significance. It proves that Metacognition strategy has significantly effect on students’ reading comprehension in reading descriptive text.
MENINGKATKAN KEKAYAAN MUFRODAT SISWA MELALUI METODE HYPNOTEACHING

The research objective is to increase the wealth of mufrodat through hypnoteaching methods. The research subjects were all fifth grade students of MI Miftahun Najah Banyuputih Situbondo in the 2016/2017 Academic Year. Researchers used data collection instruments in the form of observation formats, question sheets, field notes, and interview guidelines. The research method is classroom action research. Data analysis techniques are planning, acting, observing and reflecting. The results of the study are: 1) The average memorization of students' mufrodat in the pre cycle before receiving hypnoteaching learning method treatment gets an average of 65.38. The smallest value is 55 and the highest value is 80. With the Minimal Completeness Criteria reference of 70, the number of students who get a score equal to or above the Minimal Completeness Criteria is 23% while students who have not reached the Minimal Completeness Criteria is 77%. 2) The average memorization of students' mufrodat in the first cycle after applying hypnoteaching learning method got an average of 72.3. The smallest value is 55 and the highest value is 80. With the Minimal Completeness Criteria reference of 70, the number of students who score equal to or above the Minimal Completeness Criteria is 61.5% while students who have not reached the Minimal Completeness Criteria is 38.5%. 3) The average memorization of students' mufrodat in the second cycle gets an average of 90. The smallest value is 75 and the highest score is 100. With a Minimal Completeness Criteria reference of 70, the number of students who score equal to or above the Minimal Completeness Criteria is 92.3% while students who have not yet reached Minimal Completeness Criteria is 7.7%. 4) The use of hypnoteaching method can increase the wealth of mufrodat of fifth grade students of MI Miftahun Najah Banyuputih Situbondo in 2016/2017 Academic Year.
Knowledge Management Enablers for Knowledge Creation Combination in Nepalese Hospitality Industry

This paper examines the relationships between the knowledge management enablers and knowledge creation combination in the hospitality industry such as hotel, travel and trekking agencies in Nepal. The study is based on primary data with 382 responses. The self-administered questionnaires were used to collect the perceptive opinions from the respondents. The study concludes that the key knowledge management enablers such as collaboration, trust, learning, and information technology do influence to the knowledge creation combination positively. Managers should promote collaboration, trust, learning and information technology facilities for employees to create knowledge in organisation.
Scene Text Detection with Quadtree-based Candidate Text Regions and Convolutional Neural Network

Scene text detection has been developing in recent years.It is due to its numerous practical applications, such as automatic text translation, assist visually impaired people, contentbased image retrieval and so on.In this work, we propose a quadtree-based candidate text regions extraction (CTR) to localize texts in the scene image.The CTR takes the advantage of color consistency of text.The result of CTR is a CTR map, extracted by dividing the image into homogeneous regions with quadtree and performing a dilation operation.To perform text localization and classification, a convolutional neural network (CNN) is adopted.The final result is taken from the bounding box of CNN which is compared with the CTR map.The experiments on MSRA-TD500 and ICDAR 2013 show that the proposed method outperforms the previous ones, and it achieves a competitive result on ICDAR 2015.The proposed method achieves Fscore of 78.69%, 91.59%, 82.15% on MSRA-TD500, ICDAR 2013, and ICDAR 2015 datasets respectively.
Reaching the Meaning of Life: a Case Study of Sawitri dan Tujuh Pohon Kehidupan the Novel

Life probematics has psychological consequences for humans.Humans are vulnerable to face stress because of their demands both from themselves and the environment, so that sometimes it makes them choose the wrong attitude.Expectation provides an opportunity to grow and develop positively for the meaningfulness of life.The desire to live meaningfully leads people to a life which full of meaningful activities so that humans become valuable and meaningful individuals.A meaningful life is termed in psychology with logotherapy.In accordance with this statement, literature can provide a definition related to a meaningful life and the efforts of the characters in it to reach a meaningful life.Therefore, this study examines the efforts of characters in achieving the meaning of life in Sawitri dan Tujuh Pohon Kehidupan the novel that was examined by using a psychology approach to literary.This research is a qualitative description research.The method in analyzing data is the hermeutics method.The results of the study are the actualization of creative value, experience value, expectation value, and the value of behaving on the characters in the novel to achieve meaningful of life.
Planning Participatory Communication Interventions for Sustaining Women’s Collectives (Shgs), Field Evidence from India

The purpose of the study is to propose an outline to develop a participatory communication intervention for women SHGs. A mixed method approach has been adopted through intensive interviews of communication facilitators involved in SHGs from Lucknow (Uttar Pradesh, India) to conclude that NGOs followed the guidelines given by World Bank to develop efficient communication interventions. The quantitative tool involving SHG members proves that interventions have also led to social, political, economic, psychological, cultural and legal empowerment of women. It has also changed lives of women by way of resource building, coalition building and partnership. The research highlights there have been changes in day to day activities of women as well as their behaviour after they became a part of SHGs. Development agencies, NGOs and governments can take cues from the research to develop sustainable mechanisms to empower women.
Building Synonym Set for Indonesian WordNet using Commutative Method and Hierarchical Clustering

WordNet is a compilation of Synonyms Set (synset), which consists of the words that have the same synonymous. The development of Indonesian WordNet has a goal to build an application that can accommodate and exhibit the relation of words. Synonym Set is a set composed of one or more words that have a similar meaning or synonym relation originated from the Indonesian Thesaurus. In previous studies, the establishment of synsets were transmitted with several approaches, one of which was the cluster ring to produce synsets and WSD (Word Sense Disambiguation). In this research, research is held up to discover the semantic similarities between words in the Indonesian Thesaurus automatically, and also to know the performance of the Agglomerative Hierarchical Clustering method for the development of Indonesian synsets. To calculate performance and evaluation, this research is using the F-measure method involving the gold standard
English day and non-formal education

Abstract&#x0D; This program is a combination of The Community Development Partnership Program (CDPP) and research. It is one of the obligations of the writer in carrying out the University of Nusa Cendana's three principles, namely teaching, researching, and serving the community. The point of this program is Sunday School teachers in 22 and 24 service area of the Imanuel Church Oepura in Kupang, who will apply the method in Sunday School teaching every two weeks. This program is implemented per semester. There are three goals to be achieved; first, to run the English Day program that launched by the Governor of NTT, Viktor B. Laiskodat, secondly, to refresh and to give new atmosphere and enthusiasm for Sunday School teachers to maintain English language skills when attending school several years ago, and finally to support global tourism programs in the coming years in East Nusa Tenggara. Based on the analysis of the situation of young language learners in Sunday School, the writer set the method of Total Physical Response (TPR) through Bible-themed songs and games in English to develop the spirit and ability to learn English. This classic method is also still reaping the pros and cons but in its implementation, it still play role to be something interesting and easy for young language learners to get vocabulary and pleasant learning experiences. In general, the material can be well received because of the education background of Sunday School teachers from the High School level, Vocational School, and Sarjana Degree. Based on the application on Sunday School 55 participants, in 6-14 year old group could follow the instructions appropriately. Furthermore, in 3-5 year olds group only followed the movement of songs or games but could not understand the instructions or the aims of the games. The output of this program is to gradually begin with learning the names of Bible characters, places, and books in English, vocabulary and other games and songs to increase English vocabulary in speaking, listening, reading, and writing skills in English that programmed in the curriculum also English Textbooks for Sunday School participants.
Prediction of active debt in the State of Pernambuco, Brazil

Application of data mining (DM) techniques to optimize the process of collection of Active Debt (AD) of the State of Pernambuco, Brazil. We apply the following data mining techniques: Decision Tree (DT), Logistic regression (LR), Nayve bayes (NB), Support vector machine (SVM), also applied to the Random Forest technique which is considered an essemble method. We observed that the RF technique obtained better results than all the techniques of classification, reaching higher values in all metrics analyzed. We note that the creation of a data mining model to choose which debts can succeed in the collection process can bring benefits to the pernambuco government. With the application of RF technique, we obtained indexes above 85% in the evaluation of the metrics.
Joint Local Voting for Accurate Linear Object Feature Extraction

Background: Hough transform is an important tool for lines extraction, and it is a method to extract line from the transform domain. In the application of desks location detection and quantity statistics in the classroom environment, Hough Transform is applied to detect desks on the basis of edge extraction. But there are some problems such as low correct rate and time efficiency in the experiment. Method: A method combined with sliding window is proposed and it is a method based on local features. The detection steps and experimental process of the method are introduced in detail. The comparison and analysis by different methods are carried out in aspects of detection accuracy, error rate and time. In practical application, the joint method achieve the best comprehensive detection performance. Results: The result shows that the size of the sliding window has a great influence on the detection result. When the size of the sliding window is chosen properly, the joint detection method based on local features can improve the detection accuracy significantly. Conclusion: The experiment result shows when window size is 4x4, the best result can be obtained in general, and it has good robustness. The method combined with sliding window to detect the target image also has many advantages which parameters are easy to adjust and optimize, and the efficiency is higher in local detection.
Blockchain-enabled power distribution side management: model and method

Abstract With the development of the “ubiquitous power internet of things”, the shortcomings of the traditional centralized power trading mechanism in power distribution side have gradually become apparent, e.g., low flexibility in power usage. And blockchain technology gains some insight to deal with these problems due to its distributed nature. To this end, the paper implements a blockchain-based multi-channel energy management model on the Hyperledger Fabric blockchain platform to carry out a transaction-driven power management method in the power distribution side. Simulation results show its operability and effectiveness.
Multi-Bytes electromagnetic analysis: a novel method to get the key

Conventional correlation electromagnetic analysis (CEMA) usually exploits electromagnetic power consumption of single byte. The leakage model only chooses single byte as the attacking target, while regarding the other bytes as noise. This means that conventional leakage model has abandoned most of the information that can be available. In order to take full advantage of information, we proposed a more effective method against AES-128 by using multi-bytes to extract the key. From the result of our experiment performed on Sakura-G, fewer traces were required by multi-bytes CEMA than single byte analysis to recover the entire key correctly.
The Application of SVR-based Combination Algorithm in Applying for College in China

The following topics are dealt with: computer aided instruction; teaching; educational courses; educational institutions; computer science education; educational administrative data processing; further education; learning (artificial intelligence); virtual reality; and natural language processing.
Detection of Malaria using Machine Learning

Malaria is a parasitic infection caused in humans by the parasite belonging to the genus Plasmodium. The traditional approach of diagnosis by the use of microscopy, considered to be the "gold standard method" has at times proved to be inefficacious and inefficient as it is time consuming, needs more expertise and is erring at times. This raises a need for better alternatives for the diagnosis of the parasitic infection. This paper highlights the advancement in the field of machine learning and its beneficial applications in the detection, identification and diagnosis of the malarial infection via the use of smartphones. It uses a pre trained CNN for the detection of the parasite. The experimental results excelled in the relevant attributes of accuracy, efficiency and sensitivity of this technique, making this outperform the traditional means of detection.
Archives Robot Research Based on Manipulator and Visual Navigation

The retrieval, sorting and extraction of archives in archives rooms are still mainly carried out by manual work, which is boring, heavy and error-prone. In this paper, an intelligent archive robot is studied, which has the functions of automatic navigation, intelligent capture, image analysis and infrared temperature measurement. Through the field test, the automatic navigation, archives grasping and other operations were realized by the robot. With the help of the archives management system, the archives robot provides a feasible way to realize the intellectualization of archives warehouse management.
THE EFFECT OF BOUNCING LETTERS GAME ON THE ABILITY OF THE EIGHTH GRADER STUDENTS ’ IN WRITING NOTICES

Writing the notices becomes one necessary activity before composing the announcements form, displaying information, sharing ideas for the other people, and then putting it into written language form. The Population of this research is the eighth-grader students of SMP Negeri 1 Mandrehe Utara. The eighth-grader's syllabus expected the students to be able to convey something in written notices form. Still, in reality, the students cannot carry something appropriately in the written way of notification. The purpose of this research is to find out whether there is a significant effect of using Bouncing Letters Game on the students' ability in writing notices in the eighth grade of SMP Negeri 1 Mandrehe Utara. The researcher applied quasi-experiment design as a research design. The instrument test that used in this research is an essay test. Then, the researcher did the internal and external validity to validate the instrument test. Afterward, the researcher gave the pretest to both experimental and control classes. The mean mark of pretest for the innovative quality was 63.00 adequate classified while in the control class was 53.50 classified less. The data of pretest for the experimental type was X2 count 3.58 ≤ X2 table 7.82, and in control, the course was X2 count 2.39 ≤ X2 table 7.82 so, both of the data in pretest stated normal distribution. The examination result of homogeneity in pretest was ftable 1.86 ≥ Fcount 1.33 means the sample was homogenous. After did a treatment, the researcher gave a posttest to both experimental and control classes. The mean marks of the posttest for the innovative level are 73.33 classified good, while the control class is 63.67 classified as adequate. The result of hypothesis testing (t-test) was tcount 5,110 ≥ ttable 2.002 so, Ha is acceptable, and H0 is unacceptable. It means that there is a significant effect of using Bouncing Letters Game on students' ability in writing notice in the eighth grade of SMP Negeri 1 Mandrehe Utara in 2013/2014.
PENINGKATAN KETERAMPILAN MEMBACA DAN MENULIS AKSARA JAWA MELALUI PAPAN AKSARA JAWA (PASAR JAWA) PADA SISWA KELAS IV SD N NGOTO

The Javanese script media board (Pasar Jawa) is an interactive Javanese script learning board where the board is used as a media for Javanese teacher training. The purpose of this study is to increase student activity, student interest, increased reading, and writing skills in the Javanese script. This research is a classroom action research (CAR) conducted at Ngoto Elementary School in Bantul Regency. The subjects in this study were fourth-grade students in semester 1 of 2019/2020, with a total of 28 students. Research made by the object of research is the ability to read and write Javanese script. The data analysis technique used in this research is a quantitative descriptive technique. Data collection techniques are using observation and tests. This research was carried out through the pre-cycle cycle, the first cycle, and the second cycle.
Review of workbody activities under the strategy theme basin<sup>*</sup>

Abstract The strategy theme Basin deals with all the basin‐level environment aspects that impact agriculture water management, such as climate, floods, droughts, seawater, etc. and includes the work of six working groups (WGs) and one task team. This review examines the strategy theme Basin and consists of the Mandate, Activities and Achievements arising from the Bali meeting, and Appraisal and Recommendations for the Theme. Main general observations and recommendations are as follows: Generally, WGs under the strategy theme Basin are functioning quite well and productively. Overall, the attendance of members is good, but in some cases this is limited. WGs should promote the exchange of knowledge with other agriculture water management professionals by publishing summaries and outcomes in ICID NEWS. WGs should clearly identify their output in a work plan in accordance with the Action Plan on the Road Map to ICID Vision 2030. WGs' productivity and necessity should be evaluated carefully and when mandates and objectives are completed a final report should be written and then they should move on. Efforts to attract young professionals should be continued and increased. All WG chairs and theme leaders should be more conscious of the purpose and the set procedures initially.