Reviewerly/exHarmony huggingface dataset:
Discussion on Activation of Youth Service Learning Based on Linkage Between School and Community: Focusing on Human Resources and Operational Aspects

In the book of Judges, Gideon and Jephthah were the judges who had a war with the gentiles and at the same time a conflict with the tribe of Ephraim.This study was conducted to examine how the leadership of the two judges and the anti-monarchy thoughts of the Deuteronomistic Historians appear in external wars and internal conflicts.The narratives of Gideon and Jephthah in Judges show the model of leadership needed for Israel in a kingless era in both positive and negative ways.The Deuteronomistic Historians promise that if Israel obeys God and keeps His commandments, God will be with them and give them victory.The author of Judges, who experienced the division and destruction of the monarchy caused by the kings, told the story of the judges and what leadership Israel needed.Internally, the Israeli leaders were leaders who mended fractures and strengthened the unity of the nation through forgiveness and harmony.Externally, they were charismatic leaders who shielded Israel from war.The Israelites overcame the feudal lords of Canaan, overthrew Pharaoh's oppressive rule in Egypt, and finally built a state without a ruler.The Age of Judges is a representative dark age in the Old Testament.It was a time when 'there was no king yet, so people did what they thought was right'.However, the author of the Book of Judges had already experienced monarchy.By dealing with the lack of leadership, he paradoxically shows hope for leadership recovery.The author who had personally experienced a catastrophic monarchy, was saying that even during the time of the Judges, YHWH was still ruling Israel as an invisible heavenly king.
Detailed Error Annotation for Morphologically Rich Languages: Latvian Use Case

This paper presents a detailed error annotation for morphologically rich languages. The described approach is used to create Latvian Language Learner corpus (LaVA) which is part of a currently ongoing project Development of Learner corpus of Latvian: methods, tools and applications. There is no need for an advanced multi-token error annotation schema, because error annotated texts are written by beginner level (A1 and A2) who use simple syntactic structures. This schema focuses on in-depth categorization of spelling and word formation errors. The annotation schema will work best for languages with relatively free word order and rich morphology.
Development of Mobile Learning Framework for Vegetable Farming in Indonesia

Farmers face many problems related to seeds, pest and disease control, commodity prices, and marketing of produces. With the better penetration of the Internet to the villages and the wide availability of inexpensive mobile devices, mobile learning provides a good solution. This study is aimed to cr
Using multimedia-based materials in teaching speaking to elementary school students in Kabanjahe

As the skill that usually becomes the reference of students’ success in learning English, teaching speaking needs to be given closer attention, especially in teaching English to elementary school students. Therefore, a careful choice of good approach, technique or media is required. This article aims at finding out the advantages of using multimedia-based teaching materials in teaching speaking to elementary school students in Kabanjahe, North Sumatra. This is a descriptive study taking the fifth year elementary schools students at SD Swasta Masehi in Kabanjahe of Karo Regency as the participants. The data were collected using observations and interviews. The data were analyzed qualitatively. The results of the study show that using multimedia-based materials benefits the speaking learning process in terms of increasing the students’ interest, reducing the students’ shyness, increasing students’ motivation, and promoting student-centered learning. It is concluded that using multimedia-based materials helps build elementary school students’ speaking ability.
The Implementation of the RC4 algorithm For Sale and Purchase Agreements Data Security On Notary Office

Ksecurity wheel is one of the essential needs of the data, or information. With this regard the importance of the information or data by the party or person of interest. This research aims to design and build a system for data security deed of sale that can help the Notary / PPAT. The system was built using the RC4 (Rivest Code 4) which is a symmetric key cryptographic algorithms and is stream cipher, there is a process of encryption and decryption. The encryption is the process of encoding the original message or plaintext into ciphertext encrypted text. While decryption is the process of encoding back to cipherteksmenjadiplainteks (original data). This research resulted in a system that is able to change the data that can be read into the data that is not easily understood.
The importance of vocational guidance for adolescents in choosing a profession

The article deals with the most important features of professional orientation of adolescents in peda- gogical and psychological terms. Today, the problem of adaptation and proper orientation of adolescents to the choice of a profes- sion through self-knowledge arises. An educator-psychologist plays an important role in revealing all the abilities and capabilities of a person, teaching them a healthy lifestyle, and creating a culture of com- munication, they must provide the necessary assistance to adolescents in a conscious choice of a future profession, taking into account the peculiarities of their psychological development. Vocational guidance is an activity aimed at preparing adolescents for the choice of profession, tak- ing into account their individual inclinations, interests, professional hobbies and society’s requests for personnel of various levels and qualifications. The essence of professional orientation as a social problem is the professional desire of adolescents to overcome contradictions, the demand of society in personnel. In solving this contradiction, a key role is played by the actions and activities of the teaching staff, teachers, psychologists responsible for labor and vocational training of students. On its basis, the level of theoretical development, the principles of professional orientation and methodological problems are formed. Thus, adolescents should be open in choosing a profession, more consciously understand what&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; is necessary in their future life, use all the opportunities for a conscious and correct choice of a future profession. Key words: teenager, professional orientation, psychophysiological questionnaires, motivation, training, cognitive principle, education, activity.
Обробка інформації оптичним датчиком робота за умови неповної вхідної інформації

The range of tasks, solved by the properties of classification and generalization, is quite broad. However, the quality of solving to the problem, for one reason or another, is not always the same. Some tasks cannot be solved at once, but a detailed study of phenomenon allows us to make the necessary classification. For instance, the task is to divide the objects, with the same geometric dimensions and objects, by visual observation into two classes. Moreover, the part is made of steel, and another one - of gypsum. In principle, such task cannot be solved. To classify these subjects, a more detailed study of them is required. It is sufficiently to get data on the weight of objects, so that the task of classification has become trivial.The difficulty is to find such a description of phenomenon, in which the image (phenomenon), within each class, would have defined similar properties. Therefore, in order to eliminate the effect of interference on the recognition process, it is proposed to introduce a special decisive rule based on the fact that the decision to attach the image to the image is made on the basis of an analysis of images that have fallen into a definite close space that is classified. Using this method, the solutions, that are almost unintelligible to the errors that arise due to the effects of interference, are found. Therefore, in increments the set of images, this rule passes into the Bayes’ rule.Ref. 20, pic. 3.
Development Support Learning Media Based On Android in Subject Operation System

This media designed to increase motivation and creativity of students so that students can understand the overall material provided in the subject operation system. This research used the development metode was 4D (Four D), while the 4D development procedure those were: define, design, develop, and Disseminate. Data type was primary data where the data provided by the media experts, lecturers and students. Data analysis technique used was descriptive data analysis technique those were describe the validity, practicality and effectiveness of using support learning media.&#x0D; Results obtained from this development research as follows; (1) The validity of support learning media expressed very valid on the media design with a value of validity was 0.828, while the materi of media was valid for a value was 0.703, (2) the practicalities of support learning media based the response of teachers after going through practical trials with a total value was 84.66%, while the practicalities of support learning media based on student response after going through the otherwise very practical trials with a total value of 87.96%.&#x0D;
PECULIARITIES OF MOTIVATION OF HUMAN SELF-REALIZATION IN CREATIVITY OF STUDENTS OF ARTISTIC SPECIALTIES

The article presents some results of the study of the motivation for&nbsp;self-realization&nbsp;in the work of students who receive artistic and pedagogical education and are engaged in creativity. It is argued that&nbsp;self-realization&nbsp;in creativity is polymotivated in nature. According to the study,&nbsp;self-realization&nbsp;in creativity is determined by the dominance of motivation with the meanings and values of creativity. Within the framework of the study, using the method of content analysis, six main motives of&nbsp;self-realization&nbsp;in creativity are identified. The predominance of deep internal motives of&nbsp;self-realization&nbsp;in creativity was revealed, among which: “creativity as the meaning of life and value”, “creativity as&nbsp;self-knowledge”, “creativity as understanding of oneself”, “creativity as a choice of life path,&nbsp;self-determination”, “self-development&nbsp;in creativity”.
Differentiating Birds and Animals using Deep Learning Neural Network with Image Processing Approach

In farms we can see that the birds and animals destroying the crops. The movement of birds and animals cannot be controlled by any method. We can only drive away them. To drive away them, humans are used. To reduce the human effort we have introduced a method using image processing. In this method, the real time images are given as input and sound will be derived as output. The image given as input is compared with the trained images and classified into birds and animals. After the identification, birds can be driven away by using cracker sound and animals can be driven away by using a human sound.
PENYUSUNAN DAN PENERAPAN METODE REGRESSION ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (RANFIS) UNTUK ANALISIS DATA KURS IDR/USD

The exchange rate of rupiah is one of the important prices in an open economy because the exchange rate can be used as a tool to measure the economic condition of a country. The movement of the rupiah exchange rate affected the Indonesian economy, maintaining the stability of the rupiah exchange rate became an important thing to do. In an effort to maintain the stability of the rupiah exchange rate, the factors that influence it must first be identified. Several factors affect the IDR / USD exchange rate, namely the large trade price index, foreign exchange reserves, money supply and interest rates. In this study, the Regression Adaptive Neuro Fuzzy Inference System (RANFIS) method was used to analyze the effect of predictor variables on IDR / USD exchange rates. The optimal RANFIS model is strongly influenced by three things, namely the determination of input predictor variable, membership functions, and number of clusters. Determination of the optimal RANFIS model is measured based on the smallest MAPE in-sample. Based on empirical studies applied to predictor variables on IDR / USD exchange rates, it was found that the RANFIS model was optimal, namely with 3 predictor variable inputs consisting of large trade price index variables, money supply and interest rates; with the gauss membership function; 2 clusters and rules produce an MAPE in-sample of 1.93% and an MAPE out-sample of 2.68%, so the performance of the RANFIS model has a very good level of accuracy.
THE CORRELATION BETWEEN STUDENTS’ VOCABULARY ACHIEVEMENT AND THEIR SPEAKING ACHIEVEMENT AT SECOND SEMESTER STUDENTS’ OF ENGLISH DEPARTMENT IN HALU OLEO UNIVERSITY

This study aims to measure the correlation between vocabulary achievements and speaking achievement at second semester students of English study program in Halu Oleo University. The design of the study was research deign or correlational design; the type of the study was quantitative approach. The problem of the study was, is there any correlation between vocabulary achievement and speaking achievement at second semester students of English study program in Halu Oleo University? The population of this research was the second semester students of English Department in Halu Oleo University in the academic year of 2018/2019 with a total number of 120 students. It was divided into two class they are A and B. There are 105 students taken as sample in this study by using purposive sampling technique. The instruments of this research are mid test score of vocabulary examination and basic speaking Examination. The result of calculation using SPSS 20 program found that, (r (105) = 0.459, p = 0.000) was also higher than r at 5% and 1% significant level. It could be concluded that alternative hypothesis (H1 table) stating that there is a significant positive correlation between vocabulary achievement and speaking achievement at second semester students of English Department in Halu Oleo University and null hypothesis rejected. Based on the research findings, it is shown that there is positive correlation between vocabulary achievement and speaking achievement at second semester students of English Department in Halu Oleo University. It means that students’ who had much vocabulary performed speaking better than the student who had lack of vocabulary.
FMPN: Fusing Multiple Progressive CNNs for Depth Map Super-Resolution

The Convolution Neural Network (CNN) is widely used in the super-resolution task of depth map. However, the ones with simple architecture and high efficiency generally lack accuracy, while the ones with high accuracy demonstrate low efficiency and training difficulties due to their over-deep level and complex architecture. We propose a depth map super-resolution fusion framework. This framework fuses multiple Progressive Convolution Neural Networks (PCNNs) with different architectures by a pixel-wise Partial Differential Equation (PDE). Each individual PCNN uses progressive learning and deep supervising to construct a mapping from low resolution space to high resolution space. The PDE model automatically classifies and processes the high-resolution depth maps with different feature output by fusing multiple PCNNs. The fusion term in PDE is used to preserve or integrate the complementary features of the depth maps, and the divergence term in PDE is used to remove noise to improve the spatial accuracy and visual effect of the final output depth map. This method enables simple structured Neural Networks with high accuracy, high efficiency and relatively simple network training for depth map super-resolution.
PENGARUH PROGRAM GERAKAN LITERASI SEKOLAH TERHADAP PRESTASI BELAJAR BAHASA INDONESIA SISWA KELAS IX SMP NEGERI 10 KENDARI

Abstract : This study aims to determine the effect of the School Literacy Movement program on the Indonesian language learning achievement of grade IX students at SMP Negeri 10 Kendari. In this study using ex post facto method and sampling technique, namely stratified sampling. The instrument used was in the form of a questionnaire. Based on the results of the research data analysis, it is known that there is a significant positive effect between the School Literacy Movement program on the Indonesian language learning achievement of grade IX students of SMP Negeri 10 Kendari. Hypothesis test results show that the significance value (Sig.) Is 0.039. When compared with the probability value or α = 0.05, then 0.039 &lt;0.05, which means that H₀ is rejected and Hₐ is accepted. If seen from the tcount value, it is obtained a value of 2.110&gt; t table 1.994, so it can be concluded that the School Literacy Movement program variable (X) affects the Indonesian learning achievement variable (Y). This can also be seen from the results of the determination coefficient test which reveals the contribution of the School Literacy Movement program to Indonesian language learning achievement is 6.1%. Although the contribution made is still very low, if the program is implemented very well by looking at the factors that influence its implementation, the impact on Indonesian learning achievement can be increased. The factors that influence the implementation of the School Literacy Movement program consist of two factors, namely inhibiting factors consisting of the family environment and the lack of literacy officers, and supporting factors, namely the support from the school and the provision of adequate books. Factors that affect students' Indonesian learning achievement consist of internal and external factors. Internal factors that affect student achievement are psychological aspects consisting of reading interest and student willingness, while external factors that influence are the school environment and the existence of social media. Keywords: literacy movement; Learning achievement
Analisis Unit Cost pada Menu Makanan yang Disajikan dalam Penyelenggaraan Makanan di SD/SMP Islam Terpadu Al-Fahmi Kota Palu

Unit cost calculation plays an important role in the effectiveness and efficiency of an organization's budget. The purpose of this research is to analyze the unit cost in the food menu served in the organization of food in the Al-Fahmi Integrated Islamic Elementary / Middle School in Palu City. This type of research used in this research is a quantitative study with descriptive approach with interview techniques and sample collection in this study is the entire menu of food served at SD / SMP IT Al-Fahmi, Palu City. The results showed that the implementation of food in SD / SMP IT Al-Fahmi Palu City is serving 1027 consumers, with 5 days menu cycle, there is a standard menu / recipe, and the prevailing food unit price is the market price. The available workforce is 24 people, aspects of labor costs consisting of salaries, incentive costs, transportation, and health benefits. Overhead costs consist of fixed costs with goods that use 3 years, 10 years and 15 years. Variable costs are consumables, electricity and fuel and depreciation. So that the obtained cost of food per person per day is Rp.9,661.83, -, labor costs per person per day is Rp.1,982.91, overhead costs per person per day is 265.73, -, unit cost at Rp.14,012.31 / person / days, and profit is Rp. 2,101.84, - / person / day. It is expected that the calculated unit cost can be considered in budget planning so that effectiveness and efficiency can be increased.&#x0D; &#x0D;
VirtFun: Function Offload Methodology to Virtualized Environment

The use of virtual machines (VM) has become popular with substantial growth for both personal and commercial use, especially supported by the progress of hardware and software virtualization technologies.There are several reasons for this adoption like: cost, customization, scalability and flexibility.Distinct domains of application, such as scientific, financial and industrial, spanning from embedded to cloud systems, taken advantage of this kind of machines to meet processing computational demands.However, there are setbacks: hardware handling, resources use, performance and management.This growth demands an effective support by the underlying virtualization infrastructure, which directly affects the hosts' capacity in datacenters and cloud environment that support them.It is evident that the host native processing performs better than VMs, especially when using accelerator devices, where the common solution is to assign each device to a specific VM, instead of sharing it among multiples VMs.Beyond performance issues inside the host, we need to consider the VM performance when using accelerator devices.In this context, it is necessary to provide efficient mechanisms to manage and run VMs which can take advantages of high-performance devices, like FPGAs or even from software resources on the host.To assist this challenge, this paper proposes a methodology to improve communication performance of applications running on the VMs, VirtFun.To do so, we developed a framework able to offload pieces of application's code (vFunction) to host by means of secure data sharing between the application and device.The results achieved in our experiments demonstrated significant acceleration capacity for the guest application vFunction.The speedup reached 340% compared to conventional network execution, reaching maximum slowdown of 2.8% in the worst case and near to 0% in the best case considering the native execution.
A Perancangan Sistem Pengenalan Wajah Secara Real-Time pada CCTV dengan Metode Eigenface:

The development of times and curiosity in a condition become a reason for people to continue to develop security systems at home, one of which is by CCTV. Basically, CCTV security systems only function as recording devices on the scene. Therefore, the security level of the CCTV is still low. For that we need a system that can be a security solution. The system can detect objects in the form of faces as image input. To insert image objects into the system, the system requires a camera. The object detected by the camera will do a matching face with the face image contained in the dataset class. The system is the application of Computer Vision in the security system. Brain memory will provide a picture of a face that we have known before. The analogy can be likened to a machine or device that has the same ability as humans to recognize individuals through facial images. Through this research a comparison of facial image recognition with eigenface algorithm using feature extraction, PCA and LDA will be implemented on a real-time computer platform. The library used in Eigenface is OpenCV. The purpose of this study is to find out which method has a high degree of accuracy in performing facial image recognition by comparing between the two methods used. The problem faced by the author when performing accuracy tests is the different light levels between the dataset and the test subject, and changes in attributes such as hair and beard can affect the resulting accuracy. Based on the test results it is known that the accuracy produced by the Eigenface PCA is better than the LDA eigenface. The best accuracy on eigenface was obtained with a PCA combination of 98.06%.