Reviewerly/exHarmony huggingface dataset:
Implementation of Scouting Education Compulsory Extracurricular Activities at Sekolah Dasar Negeri 02 and 04 BPR Ranau Tengah

The goal of the compulsory scouting of extracurricular education events is to ensure that students have a good moral and social character, a strong Indonesian nationality and state, and a strong capacity to survive in the midst of society.In addition, Scouting Compulsory extracurricular activities are now being carried out to improve character education for students.The attainment of the basic competencies and core competencies alluded to in the 2013 Program will be accomplished by the incorporation of intra-curricular, co-curricular and extra-curricular activities.Through extracurricular experiences, students can explore and grow their potential, as well as have great social advantages through improving their capacity to interact and collaborate with others.This research uses a descriptive qualitative approach.The results showed that the compulsory scouting of extracurricular sports in the schools under review was not maximal.The solution is that school principals, teachers, scouts and other support personnel must have the same perception and dedication to enhancing results.
Continuous-Curvature Trajectory Planning

Continuous‐curvature paths play an important role in the area of driving robots: as vehicles usually cannot changethe steering angle in zero‐time, real trajectories must not have discontinuities in the curvature profile. Typical continuous‐curvature paths are thus built of straight lines, arcs and clothoids. Due to the geometric nature of clothoids, some questions in the area of trajectory planning are difficult the answer – usually we need approximations here. In this paper we describe a full approach for continuous‐curvature trajectory planning for mobile robots – it covers a maneuver‐based planning with Viterbi optimization and geometric approximations required to construct the respective clothoid trajectories.
Adaptive Parallel Flower Pollination Algorithm

Basic flower pollination algorithm (FPA) has some disadvantages, such as weak local search ability, slow convergence speed and low convergence accuracy. This paper proposes an improved adaptive parallel flower pollination algorithm. First, the parallel mechanism is introduced into the FPA to improve the shortcomings of insufficient diversity of a single population in the middle and late stages of the calculation. As a result, the parallel mechanism with different parameter values can further strengthen the algorithm’s global search ability while keeping the same local search ability. Second, a nonlinear algorithm behavior conversion probability P is used, and a nonlinear Levi flight step scale factor is added. The former enables the algorithm to dynamically control global and local pollination behaviors according to the calculation period; the latter enables the algorithm to respond to the processing status and adaptively adjusts the jumping step length of pollen individuals in the solution space. In all, the two mechanisms together strengthen the search ability of the algorithm and the ability to jump out of the local optimum. The analysis of the optimization results of the test functions shows that compared with some other algorithms, the proposed algorithm greatly improved the accuracy of the optimal solution and the convergence speed of the optimization.
TTCB System Description to a Shared Task on Implicit and Underspecified Language 2021

In this report, we describe our transformers for text classification baseline (TTCB) submissions to a shared task on implicit and underspecified language 2021. We cast the task of predicting revision requirements in collaboratively edited instructions as text classification. We considered transformer-based models which are the current state-of-the-art methods for text classification. We explored different training schemes, loss functions, and data augmentations. Our best result of 68.45% test accuracy (68.84% validation accuracy), however, consists of an XLNet model with a linear annealing scheduler and a cross-entropy loss. We do not observe any significant gain on any validation metric based on our various design choices except the MiniLM which has a higher validation F1 score and is faster to train by a half but also a lower validation accuracy score.
Perencanaan Sistem Plambing Air Bersih dan Air Buangan di Rusunami X dengan Aspek Konservasi Air

Flat X will be built to meet the demand for simple and affordable homes in Sumedang Regency. The construction of an apartment must be equipped with adequate plumbing for clean water and wastewater so that the health of the residents is maintained. The purpose of this research is to plan the need for clean water, including the calculate dimensions of the groundwater reservoir , roof reservoir, and clean water pipe and calculate wastewater discharges ( grey and black water) and calculate the use of greywater recycling. Recycled water is used in the rinsing and watering of plants. Research results for a flat population that can reach 3,658 people, the total requirement for clean water which is 311 m3/day, the volume of underground reservoir 1 and 2 each 352 m3 and 165 m3. The volume of roof reservoir 1 and 2 is 42 m3 and 34 m3, respectively. The diameter of the r first class clean water pipe has a range of 20-25 mm, the diameter of the second class clean water pipe has a range of 25-25 mm, pipe diameter greywater has a range from 48-60 mm, pipe diameter black water range 48-114 mm. Greywater treatment is carried out using a Sewage Treatment Plant (STP) which has a volume of 200 m3. The results of the treatment efficiency are 80%, so the recycling process is capable of saving 51% of clean water.
EFL TEACHERS’ AND LEARNERS’ PERCEPTION OF NEGOTIATED SYLLABUS: AN EFFECTIVE WAY OF IMPROVING SPEAKING ABILITY

The appropriateness of learning material for learners’ interests and professions is highly important. The more relevant learning materials and learners’ interests, the easier it is for them to participate in a conversation. This research aimed to investigate the EFL teachers’ and learners’ perception of the negotiated syllabus and the improvement of learners’ English speaking ability. This research employed a descriptive qualitative research method in which data collected through documents and in-depth interviews. The subject of this research consisted of five EFL teachers and ten EFL learners. The qualitative results showed both teachers and learners giving positive responses in learning speaking English through the negotiated syllabus. In addition to learners’ responses, the negotiated syllabus has facilitated the learners in improving their English speaking ability to be taught based on their needs and wants. On the other hand, vocabulary and comprehension, the speaking skills elements, were improved more than other speaking skill elements.
A New Hybrid Optimizer for Global Optimization Based on a Comparative Study Remarks of Classical Gradient Descent Variants

In this paper, we present an empirical comparison of some Gradient Descent variants used to solve globaloptimization problems for large search domains. The aim is to identify which one of them is more suitable for solving an optimization problem regardless of the features of the used test function. Five variants of Gradient Descent were implemented in the R language and tested on a benchmark of five test functions. We proved the dependence between the choice of the variant and the obtained performances using the khi-2 test in a sample of 120 experiments. Those test functions vary on convexity, the number of local minima, and are classified according to some criteria. We had chosen a range of values for each algorithm parameter. Results are compared in terms of accuracy and convergence speed. Based on the obtained results,we defined the priority of usage for those variants and we contributed by a new hybrid optimizer. The new optimizer is testedin a benchmark of well-known test functions and two real applications are proposed. Except for the classical gradient descent algorithm, only stochastic versions of those variants are considered in this paper.
ANALISIS POLA DISTRIBUSI DAN INTENSITAS CURAH HUJAN DI DAS BOLANGO BONE

Heavy precipitation is among the causes of flooding. Bone Bolango is one of the flooding areas in Gorontalo. Since the parameters determining the discharge of the flood is precipitation, an analysis method for determining the distribution pattern and precipitation that fits the situation in the watershed area of Bolango Bone is required. Thereby, the present study aimed at analyzing the distribution pattern and the precipitation in the area. The analysis methods of rainfall distribution were the normal, log-normal, log Pearson type III, and Gumbel methods. In addition, the precipitation was examined using Talbot method, Sherman method, and Ishiguro method. The data consisted of daily precipitation data (the data from the last 10 years at minimum) from Alale station, Boidu, Longalo, Dulamayo Selatan, and Sogitia Permata. According to the results of parameter statistical analysis, the value of Cs, Cv, and Ck of the precipitation in 5 stations did not meet the requirements for normal distribution, log-normal, and Gumbel. The Cv value of Alale station, Boidu station, Longalo station, Dulamayo Selatan station, and Sogitia station is 0.3, 0.32, 0.19, 0.23, and 0.28, respectively. The Cs value of those stations, in consecutive order, is 3.45, 2.21, 1.33, 0.92, and 1.11, and the Ck value is 18.58, 6.64, 4.55, 2.08, and 3.99. On that ground, the distribution pattern that best fits the watershed area of Bone Bolango us the Log Pearson III. Further, the most appropriate measurement of the precipitation in the area is the Sherman method. This method has the lowest standard deviation value at 67.3 mm and the best correlation value at 1. The heaviest rainfall occurred in the duration of 5 minutes and the return period of 100 years. The precipitation in Alale station, Boidu, Longalo, Dulamayo Selatan, and Sogitia is 378.15 mm/hr, 250.78 mm/hr, 188.98 mm/hr, 300.76 mm/hr, and 358.82 mm/hr, respectively.
Sistem Pendukung Keputusan Penentuan Dosen Terfavorit Pilihan Mahasiswa Menggunakan Metode Simple Additive Weighting (SAW)

Lecturers are academic staff who are in charge of planning and implementing the learning process, guidance and training, and are able to bring students into activities held by the University, both official and non-official. Selection of favorite lecturers chosen by students can encourage lecturers to communicate more with students to be able to invite students to take part in groups or organizations involving students and lecturers. However, in reality, Universitas Putra Indonesia YPTK Padang is still not actively conducting this election. To overcome these problems, a Decision Support System was designed to determine the student's favorite lecturers by using the simple additive weighting method. The Decision Support System for Determining Favorite Lecturers of Student Choice is a system that is able to increase the ease of decision making in determining lecturers who have student attractiveness so that students are more active and more competent in the guidance of the selected lecturers. In this system the lecturer's assessment is based on 5 criteria. The criteria used are responsibility, discipline, attitude, initiative, and presence. To get the final conclusion as an alternative decision to determine the lecturer of this choice requires the calculation process stage on each variable that has been determined based on the criteria. The position of the decision support system in this study is as a decision supporter, not replacing the role of the decision maker, so that the decision maker has the right to fully refer to the decision support system or not. The research results from the calculated simple additive weighting method can be concluded that the favorite lecturer of the student's choice is lecturer 2 with a score of 1.00 which is the result of the highest ranking and can be used as an alternative for determining the favorite lecturer of the student's choice.
Meningkatkan Hasil Belajar Operasi Hitung Perkalian Menggunakan Metode Permainan Kartu Bilangan Pada Siswa Kelas III SD Negeri Pabelan 2

&lt;p&gt;&lt;em&gt;Class action research was motivated by the discovery of cases of third grade students at SD Negeri Pabelan 2, it was identified that in learning mathematics, multiplication arithmetic operations were still low. This fact is shown through the value of the Minimum Completeness Criteria (KKM) for Mathematics, which is 75, only 36% of students achieve the KKM score. The purpose of the research is to improve the achievement of mathematics learning outcomes with the number card game&lt;/em&gt;&lt;em&gt; method. This study used a classroom action research design consisting of two cycles. Data collection techniques in this study through written tests and observations. From the results of the study showed that the mastery of learning increased in the first cycle by 68% and in the second cycle by 72%. From these results it can be concluded that by applying the number card game method, multiplication and division counting operations material can improve mathematics learning outcomes and provide a fun learning atmosphere and can motivate students to be active in learning.&lt;/em&gt;&lt;/p&gt;
ESCALATING RATES OF CRIME AND CRIMINALITY: ROLE OF THE MEDIA IN CRIME MANAGEMENT

The rates of crime and criminality are escalating in many parts of the world, particularly in Nigeria. The power and centrality of the media make them indispensable in whatever crime management actions that are being taken to arrest the worsening security situation and escalating crime rate in Nigeria. This paper is a discourse which highlights, against the backdrop of the prevalence of crime and criminality in contemporary Nigeria, the role of a professional media system as a major factor that can help mitigate crime and criminality in the country. Undoubtedly, responsible and professionally-oriented media can do a lot of good in crime management, and the media should rise to the occasion in the effort to arrest the present precarious situation.
ERROR ANALYSIS ON USING SIMPLE PAST TENSE IN DIARY WRITING MADE BY EFL STUDENTS

This research is intended to analyze the simple past tense in writing diary writing made by EFL students. There are four certain major language skills in English that should be learned by students. Those are speaking, writing, reading and listening. In this research, the writer uses descriptive method. The data for this research was taken from the EFL’s students tasks who were asked to write a diary writing. The collected data was identified, classified, analyzed and interpreted based on the types of errors using theory corder’s were 75 errors. The finding revealed that there are 4 types of errors. They are omission, addition, selection, and ordering. Selection was the dominant errors with 30 errors (40%), followed by ordering with 16 errors (21%), addition with 15 errors (20%), and the last was omission with 14 errors (19%). Based on the data analysis above, the most of students’ errors was selection and the least of students’ errors was omission.
Mobile Game “Color in Life” Development for Dichromatism Color Blind

The purpose of this research was to escalate players’ knowledge on color blindness by designing an educational video game which design was oriented to dichromatism color blind. The topic selection was based on the lack of players’ deeper knowledge on color blindness. The graphic and gameplay selection on this research was adjusted to the chosen color blind category. Research methods were conducted by analysis, development, and evaluation. Analysis was done by questionnaire. Development was done by game design document, UML, storyboard, and was implemented using Unity. Evaluation on 35 players, which are 32 with normal eyes and 3 with color blindness, was done by two approaches, which are t-test and questionnaire. The result of t-test was t(34) = -7.704, p &lt; 0.05 and Enjoyment score on CEGE is 0.763 for normal eyes and 0.651 for colorblind. To conclude, there was an improvement on knowledge from the video game and the design was enjoyable.
Comparison of C4.5 and NaÃ¯ve Bayes Algorithms for Assessment of Public Complaints Services

Public service is one type of service provided by the government. The National Commission on Human Rights as a state institution, one of its functions is to provide services for complaints of cases of human rights violations. The purpose of this study was to find the most appropriate algorithm method by looking at the results of the accuracy and the Area Under Curve (AUC) value. The data used is data from questionnaires regarding assessments related to complaints of cases of human rights violations by the public in 2018, totaling 1750 records. The data is processed using the C4.5 algorithm and NaÃ¯ve Bayes with the Rapid Miner tools. The results showed that the C4.5 Algorithm has a better accuracy of 99.49% compared to NaÃ¯ve Bayes of 95.66%. The AUC value produced by the C4.5 algorithm is better at 0.998 and NaÃ¯ve Bayes by 0.996. In this study, the rule generated by C4.5 will be the basis for making a questionnaire assessment application in the form of visual programming, to help provide an assessment of the satisfaction of complaint services at Komnas HAM. The system is built based on web, using PHP framework, database using MySQL and editor tools using notepad ++.
Relationship Between the Lecturer’s Role as Motivators to Learning Outcomes of Postpartum and Breastfeeding Midwifery Care Courses on Diploma III Midwifery Students

Education is the process of changing the attitudes and behaviors of a person or group of people through the learning and training process. The lecturer’s role as motivators to increase enthusiasm and development of lecturer learning activities is required to motivate students to obtain maximum learning outcomes. This study aims to determine the relationship between the lecturer’s role as motivators and postpartum and breastfeeding midwifery care courses' learning outcomes. A type of quantitative research with analytical survey research design and cross-sectional approach. This research was conducted on diploma III midwifery students of STIKes I, with a total sample of 89 students. The data collected by using questionnaires and analyzed by Chi-Square test. The resultsshoweda significantrelationship between thelecturer's role as a motivator to learning outcomes of postpartum and breastfeeding midwifery care courses, with a p-value of 0.003. Conclusion: Lecturer's role as a motivator affects postpartum and breastfeeding midwifery care courses' learning outcomes.
Automated Noise Detection in a Database Based on a Combined Method

Data quality has diverse dimensions, from which accuracy is the most important one. Data cleaning is one of the preprocessing steps in data mining which consists of detecting errors and repairing them. Noise is a common type of error, that occur in database. This paper proposes an automated method based on the k-means clustering for noise detection. At first, each attribute (Aj) is temporarily removed from data and the k-means clustering is applied to other attributes. Thereafter, the k-nearest neighbors is used in each cluster. After that a value is predicted for Aj in each record by the nearest neighbors. The proposed method detects noisy attributes using predicted values. Our method is able to identify several noises in a record. In addition, this method can detect noise in fields with different data types, too. Experiments show that this method can averagely detect 92% of the noises existing in the data. The proposed method is compared with a noise detection method using association rules. The results indicate that the proposed method have improved noise detection averagely by 13%.
VIRTUAL LABORATORY PRACTICAL WORK AS A WAY OF STUDYING NATURAL DISCIPLINES

In the article the way of using information technology in the natural education is activated, such as computer modeling of chemical, physical or biological phenomenon processes, introduction into the educational process of the virtual laboratory works. The relevance of the introduction of virtual laboratories in educational practice is due, firstly, to the information challenges of the time, and secondly, the regulatory requirements for the organization of the educational process of general secondary and higher education. It is mentioned that the use of virtual laboratories in the educational process allows students to conduct experiments with equipment and materials that he is able to use due to lack of a real laboratory or its lack of technical content, get practical skills of conducting experiments of integrated natural direction initiating computer models and the process of operation of unique equipment of chemical, physical, biological laboratory, to study dangerous in the real situation processes and phenomena of natural origin, without fear of possible consequences. The article reveals the advantages and disadvantages of using a virtual laboratory workshop during the study of natural sciences. Possibilities of modern virtual laboratories of a natural direction which allow to model objects and processes of the surrounding world and also to organize computer access to the real laboratory equipment. The possibility of realization of a virtual laboratory workshop on chemical disciplines of the natural cycle in the environment of a virtual simulator of the laboratory IrYdiumChemistryLab is shown. This virtual laboratory involves the formulation of specific tasks or the formation of its own strategy for planning the experiment,the resource immediately differs in the ability to intervene in the program and design your own virtual experiment Created on the basis of IrYdiumChemistryLab virtual laboratory works allow to prepare diluent of various concentrations, to calculate and measure concentrations of ions in solutions of strong and weak electrolytes, to titrate, etc. Virtual laboratories must be present in the practice of teaching natural sciences (chemistry, physics, biology). The need to use a virtual laboratory workshop during distance learning is especially relevant.
Language Learning Strategies in Acquiring English Language Skills among Year 5 Pupils in Rural Areas in Southern Malaysia

Language Learning Strategies (LLS) and their advantages in enhancing and acquiring second language learning skills are not consciously known, especially to young learners.The main objective of this study is to identify the most preferred language learning strategies by the Year 5 primary pupils in rural areas in Southern Malaysia and the least practiced strategies in learning the English language.This study adopted a quantitative research design by adapting the Strategy Inventory for Language Learning questionnaire as a research instrument.The data was collected from 70 respondents by using a simple random sampling technique and then analysed descriptively.Through a comparison of means, this study had discovered that various strategies were practiced by the respondents.However, the most employed strategy is memory strategies, while the affective strategies are favoured the least.It is hoped that this study may give some insights and benefits to the ESL teachers in enhancing their teaching and learning process by introducing and emphasising various learning strategies for better selfregulated learning.