Reviewerly/exHarmony huggingface dataset:
A unified code review automation for large-scale industry with diverse development environments

Code Review is an essential activity to ensure the quality of the software in the development process. Code Review Automation with various analyses can reduce human efforts of code review activities. However, it is a challenge to automate the code review process for large-scale companies such as Samsung Electronics due to their complex development environments: many kinds of products, various sizes of software, different version control systems, and diverse code review systems. In this work, we show how we automated the code review process for those intricate environments, and share some lessons learned during two years of operation. Our unified code review automation system, Code Review Bot, is designed to process review requests holistically regardless of such environments. Our findings provide practical evidence that our system motivates developers in Samsung Electronics to improve code quality.
KESESUAIAN ISI BUKU TEKS BAHASA INDONESIA SMK/MAK TERBITAN YUDHISTIRA DENGAN KURIKULUM 2013

AbstractNur Sakinah, 2021. The suitability of the contents of the SMK/MAK textbook published by Yudhistira with the 2013 curriculum. Indonesian Language Education Study Program, Department of Language and Arts Education, Faculty of Teacher Training and Education, University of Tanjungpura Pontianak. First Advisor Dr. Ahadi Sulissusiawan, M.Pd Second Advisor Adussamad, M.Pd. This study examines the contents of textbooks that discuss the suitability of basic competencies in material coverage, as well as the flow of genre, scientific and CLIL pedagogical approaches in textbooks with the 2013 curriculum syllabus. This study aims to analyze the suitability of basic competencies, material coverage, and the flow of genre, scientific pedagogical approaches. and CLIL in the textbook with the 2013 curriculum syllabus. The research method used is descriptive with a qualitative research form. The data sources of this research are Indah Wukir Setiarini and Santi Artini who wrote textbooks. Sources of data are obtained indirectly through the results of the textbooks that are made. The data collection technique used is indirect technique with documentation study. The data collection tools used were stationery and a list of notes. The results of the analysis show that in general the textbook cannot be said to be suitable because in the presentation of basic competencies, material coverage, and the flow of the pedagogical approach to genre, science and CLIL, there are parts that are not found in the textbook either directly or implicitly. Based on the results of the analysis that has been done,schools are advised in selecting school textbooks to first see the extent to which the textbooks that will be used conform to the syllabus. Teachers are advised not only to refer to the books given by the school but to use other literature sources that can complement a subject in learning. Publishers are advised in the process of compiling publisher textbooks based on the syllabus.Keywords: Content Suitability, Textbook, 2013 Curriculum
ENGLISH DICTION IN FACEBOOK STATUS

The objective of this study was to determine the kinds of English Dictions commonly occured in the students Facebook status. It was the analysis on the use of English of the students of Pamane Talino college of Education and the reasons behind the writing of the dictions by students STKIP Pamane Talino Landak Regency. The method used was a descriptive qualitative research method. The subjects in this study were English students at STKIP Pamane Talino, Landak Regency, for the 2019&amp;2020 year of study, totaling 30 students. Sources of data were: (1) sources (informants), (2) places and events, (3) documents. Data collection techniques used in this study are (1) documents, (2) interviews. The results of this study are: (1) The types of English diction used by the students are as follows: (a) formal diction, (b) informal diction. The college students tend to use informal diction (93.3%) rather than formal diction (6.7%) in writing status on their Facebook. It is because writing informal diction is easy, simple, and free to express their feeling and thinking. Many of them claimed that have limited vocabulary. This research also showed the background of the students’ reason in writing informal diction on their Facebook status is because they want to share their feeling. (2) The reasons of writing English diction by students are (a) The students need to share their experience and situation in their daily life, (b) The students inspired from words of motivation and lyrics of song, (c) The students want to express the current idea that pop in their mind. This is because most of the students tend to write in English to practice their writing skill and vocabulary.Keywords: Facebook, Type of Diction
Effectiveness of Covid-19 contact tracing solutions

COVID 19 has become a global pandemic requiring public health officials to take many measures to contain its spread. Amongst the measures is tracing those who have been in contact with infected people i.e. contact tracing. This paper examines some digital contact tracing applications that were developed soon after the outbreak (in the year 2020) and how effective they have been. The paper highlights a study done on these applications which shows that there are some issues around the use of the applications which hinders their wider adoption by the public (adoption of these applications by the public is one of the surest ways of containing the spread of the pandemic). The paper goes on to examine an instance where one of the issues raised (security of Personally Identifiable Information, PII) is addressed in a proposed design solution. The paper concludes by suggesting what should be done by contact tracing application developers to ensure their products are more acceptable to consumers thereby leading to their wider adoption.
Development of Persuasive Text Teaching Materials based on the Discovery Learning Method in Class VIII SMP GKPI Padang Bulan Medan TP 2021/2022

This study aims to develop persuasive text teaching materials based on the discovery learning method for class VIII junior high school students.The steps used are the ADIIE development model which consists of analysis, design, development, implementation, and evaluation.Research teaching materials products get an average assessment of material experts 97.82% in the very appropriate category, 96.2% in the design expert assessment in the very appropriate category, the Indonesian language teacher assessment in 90.3% in the very feasible category.Tried the product three times, namely individual trials, small groups and limited field, with the average number of individual student assessments being 89.1%, trials on small groups of ten students with an average of 90.8% and a limited field test was conducted on 30 students of SMP GKPI Padang Bulan Medan with an average of 92.4 very feasible categories.The effectiveness of persuasive text teaching materials assisted by the discovery learning method is obtained from student learning outcomes carried out in two stages, namely at the pre-test and post-test.The results obtained at the pre-test were 2,132 with an average of 71, this value was categorized as "enough" and did not meet the KKM score of 75.After using persuasive text teaching materials assisted by the discovery learning method and posttesting the total score of students increased to 2,431 with an average of 81 categorized as "good".This shows that persuasive text teaching materials assisted by the discovery learning method bring good development and are effectively used by class VIII students of SMP GKPI Padang Bulan Medan.
Remote monitoring of elders using Internet of Things

The internet of things (IoT) is an interconnected web-linked item system that identifies data gathering and transmission via a wireless network without human intervention. The monitoring system structure is defined while configuring distribution sensor devices. Connecting sensors may display the various device operations and modify them from anywhere to increase user flexibility. The developed sensors may be used to monitor, maintain and protect numerous settings. IoT has played a large part in the care of the elderly. It consists of various components, which include Microcontroller, GPRS and WI-FI Module, and various Sensors. They need adequate health care and surveillance. Our effort is primarily to create a health surveillance system and a failure detection system, providing user warnings if the usual state changes. The health-based monitoring system comprises sensors that measures heart rate, SpO2 level, and body temperature. In this system and the GSM module, we are using a third-party API to send the alerts.
Internet of Things (IoT) – Scope, Applicability and Communication Models

This research aims to study the conception of the Internet of Things (IoT), the areas where it is used and the communication models of the Internet of Things. It was investigated by collecting bibliographic material on the internet of things, its scope of application and communication models. After the analysis it was determined that the internet of things allows the interconnection between different devices, machines and people. To establish the areas of use of the IoT, the European Union and Latin America and the Caribbean are taken as a reference, where strong use by the transport and logistics sector, the health sector and the government was evidenced. Finally, the communication models of the Internet of Things most used are: device-to-device connection, cloud device, connection through connection ports and data exchange through the backend. It was evidenced that the application of IoT in the key sectors for developing countries such as the countries of Latin America and theCaribbean, is still incipient, being 15% , 10%, 14%, 21% a nd 31% of application in the sectors such as Transportation, Retail, Manufacturing, Government and Health Care respectively.In the current post-pandemic context due to Covid-19, the use of IoT will allow the recovery of the economy and promote the sustainable development of the region.
Application of Interpolation to Multispectral Array Photodetectors

The purpose of the research is to apply interpolation to the developed templates of two-layer matrices. Within the framework of this purpose, the following tasks were formulated: research and application of linear and adaptive interpolation methods. The simplest method interpolates each color on its own using some sort of linear interpolation algorithm. This is the fastest method and has the lowest image processing quality. Adaptive methods include various types of interpolation filters: pixel based depending on some heuristic or mathematical models of the local area of the photo around the current point. On the example of three multilayer matrices with cells for registration of the visible and near-IR ranges, the studied interpolation methods were used. Depending on the number of variables used in the equation, using linear interpolation, we get more accurate values when using four known values than when using two known neighboring cells, but the difference in error is small. The standard adaptive method uses 4 adjacent cells to find the desired color. This makes the equation more difficult to calculate. For the same cell, blue and red can only be found using two additional cells. This simplifies the equations by a factor of two, which means that the image processing speed also increases by a factor of 2. At the same time, the error in finding blue and red colors through two additional cells remains approximately the same as when finding green through 4 cells.
Cryptocurrencies world

The objective of investigation is to make short summary in cryptocurrency information. Well it is a virtual coin based on blockchain technology, which acts as an accounting book in which operations a re recorded and which has independent programmers as verifiers [1]. This article will not only reflect how cryptocurrencies are part of the digital world, but around the world, what their behavior is and whether or not these rules should be regulated.A qualitative methodology will be used in which a literature review is made through various educational platforms.
DEVELOPMENT OF TEACHING MATERIAL IN NARRATIVE TEXT BASED ON SPARKOL VEDIOSCRIBE AT MAS PP RAUDHTUL HASANAH MEDAN

The purpose of this development teaching the material research was to increase the students' interest in X grade MAS PP Raudhatul Hasanah Medan.The development of teaching the material narrative text based on Sarkol VideoScribe adapts of the curriculum 2013 on third competency.The advantages of this development based on Sparkol VideoScribe such as: (1) Enhance teaching the material to be the most attractive and effective.(2) Can help to improve the interesting of students in reading and being active in the classroom.(3) Stimulate students' attending of the lesson.(4) Increase students' achievement in learning process.(5) Make the students are more exited.( 6) The teachers enjoy and serve in learning atmosphere.This research and development approach will result in a finished product.The five-step ADDIE development paradigm is the one that was used.Analysis, design, development, implementation, and evaluation are the development measures.Before looking for the t-test result, the investigation establishes the results of normality and homogeneity.T-count is 16,2 and T-table is 1,6892 as a consequence of the calculation.Because t-count > t-table and there is a notable difference between learning outcomes prior to and following the use of teaching materials based on Sparkol VideoScribe's subtheme "the smartest animal" in X grade students at MAS PP Raudhatul Hasanah Medan, it means that Ho was rejected and Ha was accepted.
Geostatistical analysis and spatial distribution map of geochemical contents of the Susuzdag Formation limestones

ÖzLimestones, which are a type of carbonate rocks that are classified as karstification of rocks, are widely observed in the Antalya complex.The assessment of the elemental relationships in the formation of limestones by using statistical methods is important for the interpretation of paleoredox states in the environment and for understanding its diagenetic conditions.In the study, limestone samples collected from the Susuzdag Formation were analyzed by the XRF method to determine their chemical contents.Also, thin cross-sections of the limestone samples were prepared and the mineralogical properties of the formation were determined by performing detailed optical microscopy examinations.The order of the contents enriched during the formation of limestones is as follows: SiO2, MgO, Al2O3, K2O, TiO2 Fe2O3, SO3, Pb, Th, U, Sr, Mn, and Co.The high values of K2O, Al2O3 and SiO2 elements at the regional scale revealed the high clay presence in the limestones.In addition, high concentrations of Al2O3 and TiO2 interpreted from distribution maps in similar locations indicate the presence of minerals with aluminum oxide and titanium oxide.The cumulative value of chemical contents, which were observed to fall in 4 main groups, was calculated as 92.60%.The limestone samples were found to have micritic and sparitic textural features, and no foliation or lamination was observed in their thin crosssections.Moreover, according to the single-nicol images, the matrix fillings of the cross-sections of the samples were found to contain clay.It was thought that the limestones in the region underwent dehydration reactions during their formation and lost their water molecules and became enriched in kaolinite minerals.Karstlaşabilen kayaç sınıflamasına giren karbonatlı kayaçlardan kireçtaşları, Antalya kompleksi içerisinde yaygın olarak bulunurlar.Kireçtaşlarının oluşumunda meydana gelen elementel ilişkilerin istatistiksel metotlar kullanılarak yorumlanması, ortamdaki paleoredoks durumlarının yorumlanması ve diyajenetik koşulların anlaşılabilmesi için önem arz etmektedir.Çalışmada, Susuzdağ Formasyonu içerisinde bulunan kireçtaşlarından derlenen örnekler XRF
Distanced Online Learning in Language Teaching: From Students’ Perception

This quantitative study aims to analyze the impact of audiovisual content delivered through Canva, discussion forums via Zoom and online evaluations delivered via Mentimeter and Google Form in the Distanced Learning model delivered online. This study aims to measure students' perceptions of the learning environment that has drastically changed to online. The method that will be carried out in this study uses the Perceptions Blended Learning Environments Questionnaire (PBLEQ) method. This study aims to measure students' perceptions of the learning environment that has changed to online. The research steps included distributing online questionnaires to 68 students of the Public Health, Nutrition and Law study program, which contained questions about students' perceptions of changing face-to-face learning to online learning, on the contribution of online learning, and on online assignments. Then, more detailed questions were given in the interview session to validate the answers to the questionnaire. The results of online learning show that audiovisual content, discussion forums and online evaluations in distanced learning have a positive effect on the teaching and learning process. This study recommends the incorporation of mixed learning modalities during the planning and implementation of educational programs in the context of developing student competencies. It can be concluded that distanced and also blended learning is an alternative to improve teaching and learning conditions in the 21st Century. Keywords : Distanced Learning; Language Teaching; Technology
Who Studies the Studies of Science and Technology? On the Principle of Reflexivity from Empirical and Theoretical Points of View

The article discusses the methodological principle of reflexivity as formulated within the strong program of the sociology of scientific knowledge (STS). The applicability of this principle in science and technology studies is analyzed from empirical and theoretical points of view. The principle of reflexivity expresses the requirement of scientific universalism: it forbids the exclusion of one’s own cognitive activity and its results (knowledge) from the world totality of objectively observable things and processes, in this case – beliefs. In D. Bloor’s imperative formulation, the principle prescribes applying the explanatory methodology of the strong program in relation to the strong program’s own fundamental theoretical and methodological concepts. The implementation of this principle in STS faces practical problems and theoretical paradoxes. In line with the methodology of the strong program, the author asks the question about the social conditions of the failure of the principle of reflexivity. The author shows that empirically cognizable social conditions for the realization of the principle of reflexivity can be fulfilled. However, their fulfillment does not lead to reflexive work, which presupposes an external position of the one who explains in relation to what is explained. In accordance with the postpositivist concept of the underdetermination of theory by facts, the external position is achieved through the speculative transition from the factual given to the hypothesis explaining this given. The author shows that the external position taken by internal critics of the STS research community becomes the position of speculative philosophy.
ON CHANGES IN THE SOIL TEMPERATURE AT DIFFERENT DEPTHS

Annotation.From 1995 to 2016, there is a trend towards an increase in the average ten-day temperature of the soil stratum, as well as a change in temperature amplitude.A relatively stable increase in soil temperature was demonstrated in 2016 compared to the sharp changes in 1995.
Analysis and recognition of textual emotion for Twitter dataset using transfer learning

Textual expressions are frequently not only direct using emotional terms, but also derive from a grasp of the meaning of concepts and how they interact in the text document, making identifying an individual’s emotional state appear difficult but necessary several times. In order for organizations and individuals to be able to provide clients with optimal services, it is important for them to recognize the various emotions felt by individuals. There are variety of methods available to detect emotions in texts, from traditional machine learning models to deep neural networks. The previously described models were unable to capture the emotional connections between words. In this work we have proposed a noble model which captures semantic and emotion information using transfer learning technique. The proposed model used BERT technique for contextual information encoding and second is emo2vec which is used for emotion information encoding. The results reveal that the proposed model improves the system’s emotion recognition quality by a resulting in F1 score of 1.0.
Motivasi Belajar dalam Memediasi Pengaruh Lingkungan Teman Sebaya, Kondisi Ekonomi Orangtua terhadap Prestasi Belajar

The purpose of this study was to determine the direct influence of the peer environment and the economic conditions of parents through learning motivation on students' accounting learning achievement. The population in the study was students of class 10 Accounting in Batang Regency, which amounted to 143 students. Data was taken by questionnaire. Data were analyzed by descriptive statistical analysis and multiple linear regression analysis. path analysis, and hypothesis testing, namely t test and Sobel test. The results showed: (1) peer environment has a positive and significant effect on learning achievement; (2) parents' economic conditions have no effect on learning achievement, (3) learning motivation has a positive and significant effect on learning achievement, (4) peer environment has a positive and significant effect on learning motivation, (5) parents' economic conditions have no effect on learning motivation , (6) peer environment has a positive and significant effect on achievement through learning motivation, and (7) parents' economic conditions have no effect on learning achievement through learning motivation.
Clustering Pengunjung Mall Menggunakan Metode K-Means dan Particle Swarm Optimization

This research aims to cluster mall visitors. This is motivated by the mall's income which has decreased since the pandemic. Later from these several clusters we can find out the characteristics of the mall's visitors. Those characteristics will be used later to increase the income from the mall. In this research, we use a dataset from Kaggle named Pengunjung_mall in CSV format which will later be processed using Python language on Jupiter Notebooks using the K-Means method. To ensure how accurate the K-Means method is, optimization is carried out using the PSO (Particle Swarm Optimization) method. After performing clustering and optimization using Jupyter Notebook, the results will then be evaluated with DBI (Davies Bouldin Index) in Microsoft Excel to find out how well the Clustering is generated. The Clustering results obtained are used as a reference to determine the characteristics of mall visitors which is one strategy to increase Mall profits. As a result, we have succeeded in dividing mall customers into 5 clusters based on their annual earned income and expense scores. The cluster has been optimized with PSO and has succeeded in increasing the cluster resulting from the K-Means method which is proven by the Davies Bouldin Index method. This research has concluded that customers who have high income levels and have high spending scores are the targets with the highest priority level for malls.