Reviewerly/exHarmony huggingface dataset:
Sistem Penentuan Konsentrasi Jurusan Bagi Mahasiswa Informatika Menggunakan Metode K-Means Di Institut Asia Malang

Specialization in the concentration of a major is a student's focus on a particular field of study according to his interests. The purpose of specialization is to focus students more on the knowledge gained from previous courses so that they can be more focused. In the Informatics Engineering study program at the Institute of Asia Malang, there are 3 concentrations, namely: Intelligent Systems; Multimedia and Games and, Computer Network Administration. The absence of a system that helps students choose the concentration of majors is quite difficult for students to know their academic abilities. By looking at these problems, this study aims to build a decision-making system in choosing the concentration of majors using the K-Means Clustering method. Where the data value of semester 1 to semester 4 students is used as a variable in the calculation of the k-means clustering method which is implemented using the PHP and MySQL programming languages. Based on the test results, it was found that in cluster 1 there were 3 students who entered the intelligent system concentration. In the second cluster, there are 20 students who are in the Multimedia and Game concentration, in the third cluster there are 56 students who are in the network concentration.
Possessive adjectives with and without articles: the case of Piedmontese

According to the grammars of contemporary Piedmontese (based on the variety of Turin), the use of possessive adjectives with definite articles is restricted to the plural masculine ij mè lìber 'my books, lit. the my books', in contrast with such forms as mè lìber 'my book' (singular masculine), mia ca 'my house' (singular feminine) and mie ca 'my houses' (plural feminine). This behaviour of the masculine plural may be attributed to a functional need, i.e. that of distinguishing the plural masculine from the singular masculine. This paper aims to investigate whether the pattern described above is confirmed by both historical and non-Turinese data. The analysis will focus on similarities and differences not only between geographical varieties of Piedmontese, but also between such varieties and Italian.
Pengelolaan Dana Bantuan Operasional Sekolah Pada MTsN Se Kota Padang

The results of this study aimed to find out information related management and school operational assistance at MTsN in Padang City is 48 people, so the number of samples is 35 respondents. Data collection was carried out using a questionnaire that had been tested for validity and reality. The average formula is used to process research data.. random sampling technique. The data shows that the response of managers regarding the management of school operational aid funds in mastering the procedures for managing boss funds is in the good category with an average score of 4.02, the use of school operational assistance funds is in a good category with an average value of 4.33. following steps: Verify returned questionnaire data and check for correctness and completeness, if any are incomplete, try to complete it., Perform data tabulation and score respondents' answers. Giving a score for each item with the following details: very good was given a score of 5, good was given a score of 4, quite good was given a score of 3, less well was given a score of 2, and not good was given a score of 1., Describes the data that has been processed into a table. It can be concluded that manager's response to City is at a moderate level with a score of 4.17.
Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations

Sequential recommendation aims to predict the user's next action based on personal action sequences.The major challenge in this task is how to achieve high performance recommendation under the data sparsity problem.Translation-based recommendations, which learn distance metrics to capture interactions between users and items in sequential recommendations, are a promising method to overcome this issue.However, a disadvantage of translation-based recommendations is that they capture long-term preferences of the user and complex item transitions.In this paper, we propose attentive flexible translation for recommendations (AFTRec) to tackle data sparsity problem by capturing a user's dynamic preferences and complex interactions between items in user's purchasing behaviors.In particular, we first encode semantic information of an item related to user's purchasing behaviors as the user-specific item translation vectors.We also design a transition graph and encode complex item transitions as correlation-specific item translation vectors.Finally, we adopt a flexible distance metric that considers directions with respect to the translation vectors in the same space for predicting the next item.To evaluate the performance of our method, we conducted experiments on four sparse datasets and one dense dataset with different domains.The experimental results demonstrate that our proposed AFTRec outperforms the state-of-the-art baselines in terms of normalized discounted cumulative gain and hit rate on sparse datasets.
PENGARUH PENGGUNA TEKNOLOGI INFORMASI, DISIPLIN KERJA, DAN LINGKUNGAN KERJA FISIK TERHADAP KINERJA GURU DI SMA MUHAMMADIYAH 1 PONOROGO

Human resources have a role that can determine the success of all activities in the school. Therefore, the performance of teachers in a school will depend on how the human resources are managed. Teachers are the spearhead in efforts to improve the quality of services and educational outcomes. Therefore, the school seeks to prepare human resources to face the times. Information technology (IT) has increased very rapidly in the current era, as can be seen from the use of technological equipment whose sophistication continues to increase with increasing reach. In the world of education, the application of information technology is needed to support the operational activities of educational institutions such as schools. Work discipline has an important role in achieving national education goals, because with high work discipline teachers can complete work and carry out appropriate learning according to predetermined standards so that high performance of a teacher will be achieved. Including the physical work environment in an organization has an important meaning for individuals who work in it, because the environment will affect individual satisfaction at work. This research is a type of quantitative descriptive research because in the process it uses numerical processing to be calculated through statistical tests. The sample in this study was 45 teachers at SMA Muhammadiyah 1 Ponorogo. Data collection techniques using research instruments, namely questionnaires. The analytical tool used is multiple linear regression. The results of this study are the ability to use information technology, work discipline, and physical work environment, have a positive effect on teacher performance at SMA Muhammadiyah 1 Ponorogo
A NOVEL APPROACH FOR USIND MACHINE LEARNING FORENSIC SCANNER IDENTIFICATION

In this paper, we review recent work in media forensics for digital images, video, audio, and documents. The proposed system uses deep-learning to automatically learn the intrinsic features from various scanned images. Our experimental results show that high accuracy can be achieved for source scanner identification. The proposed system can also generate a reliability map that indicates the manipulated regions in an scanned image. This study is the first to extract brightness variations as a unique characteristic of each scanner model and recognize the potential of brightness variations in source identification and manipulation detection
Examining the Technological, Pedagogical and Content Knowledge of Nepalese Teacher Educators

Teacher-educators’ TPACK profile suggests whether and/or to what extent they can help future teachers to develop competencies required to teach with technology. However, teachers-educators’ digital competencies are not well understood because of the limited number of research studies. This study contributes to the existing body of knowledge by providing insights into the Nepali teacher-educators’ competencies in the use of educational technology. The study collected data from 153 teacher educators from 63 teacher education campuses in Nepal using a TPACK questionnaire combined with an ICT confidence survey. The findings reveal that teacher educators were more confident about their pedagogical knowledge (PK) and content knowledge (CK) than their technological knowledge (TK) and technological, pedagogical and content knowledge (TPACK). The findings suggest that the teacher educators lacked competencies to teach and to demonstrate technology integration in educational practice. The implication of this finding is that pre-service teachers will miss the opportunity to gain the skills and knowledge required to use technology in their future practice.
Penerapan Algoritma C4.5 Untuk Klasifikasi Pola Kepuasan Pelayanan E-KTP Di Kantor Camat Pematang Bandar

This study applies the C4.5 algorithm for the classification of satisfaction patterns of E-KTP services at the Pematang Bandar Sub-District Office. This type of research is a classification with the concept of data mining by involving 140 questionnaire data on the satisfaction of E-KTP services at the Pematang Bandar Sub-District Office which are categorized as: very satisfied, satisfied, quite satisfied, dissatisfied. There are four attributes that affect the satisfaction of E-KTP services including: registration, recording, time, service. The method used in this research is knowledge discovery in database (KDD) to determine data accuracy. The results showed that there was an accuracy rate of 95.24%, with a class precision value of 93.33% for satisfied predictions and a class precision value of 100.00% for dissatisfied predictions. Class recall for satisfied is 100.0% and class recall for dissatisfied is 85.71%. From the results of research that has been done by researchers, it can be concluded. E-KTP service satisfaction can be classified by utilizing data mining techniques using the C4.5 algorithm for classification of E-KTP service satisfaction patterns.
Competence and Competency-Based Approach in Education

This article analyzes the term and concept of competence, as well as the competence-based approach in education
The Implementation of Hello English Smartphone Application in Enhancing Students’ Vocabulary Mastery

This research aims to enhance students' vocabulary mastery through Hello English smartphone application. This research applied experimental with one group pre-test post-test design. The population was the students of SMA Muhammadiyah Palopo that consist of five classes. Then, the sample taken were 25 students of class X by using cluster sampling technique. Based on the data analysis, it can be seen that the mean score of the pretest was 52,52 while the mean score of the posttest was 80,64. Furthermore, the significant value of paired sample test was smaller than the significant level (0,000 &lt; 0,05). It means that the H1 was accepted and H0 was rejected. In conclusion, Hello English smartphone application significantly enhanced the students’ vocabulary mastery.
POSITIVE AND NEGATIVE IMPACTS OF ONLINE LEARNING FOR MINORS

This research was conducted in order to see more clearly the impact received by minors due to drastic changes in the learning system in Indonesia since the Covid-19 pandemic hit. In the midst of the online learning process which is carried out simultaneously, this certainly has a very, very impact on students who undergo it, including children who should be more restricted in their use in order to maintain the physical and psychological condition of the child. Therefore, we work closely with parents to see how children are developing in the face of this changing learning system and what impact they see as parents. From this we see that online learning has a very, very impact on the lives of the children themselves
PENGETAHUAN DENGAN PREVENTION MASYARAKAT DALAM MENGHADAPI BENCANA BANJIR DI DESA TOLITE KECAMATAN BOLIYOHUTO

Disaster is the incident or sequence which threatens and disrupts people’s lives that caused of natural and non natural factors as well as human factors resulting in fatalities environmental damage, property loss and psychological impact. The objective was to determine relationship between knowledge with society’s preventions in facing flood disasters at Tolite village, Boliyohuto sub district. The design used quantitative descriptive, a method based on the philosophy of positivism. The populations used cross sectional study with sampling used slovin formula thus obtained samples are 92 respondents. Statistical test used chi-square. The significance value was p-value = 0,000 small than (p= &lt;0,05) therefore Ho is rejected and Ha is accepted. Concluded, there is significant relationship between knowledge with society’s preventions in facing flood disasters at Tolite village, Boliyohuto sub district.
Consumer digital trust: The main trends and research directions

The objective of this paper is to systematize the research on the consumer digital trust from 2016 to 2022 and to determine existing and future research trends. The authors apply a combined systematic and bibliometric review methodology using Scopus metrics and natural language processing techniques using R. Through an analysis of 173 journal publications from the Scopus database, the authors systemize accumulated knowledge on the topic. As a result, the authors have developed a knowledge map based on keywords, identified and analyzed seminal papers on digital trust, identified the main research directions on this topic, and analyzed their development and perspectives. From a practical point, the results of the study demonstrate that companies not only need to pay attention to the development of consumer trust in service, but that the quality of technical equipment and the security of consumer data are also important. Also, research demonstrates, that while digital trust is generally important for online services, it plays an especially significant role in the sharing economy, e-commerce, and digital health services.
REVIEW OF THE COLLECTIVE MONOGRAPH “THE VITALITY OF THE ART. MODERN MANIFESTATIONS. ANALYTICS”

Review of the collective monograph “The Vitality of the Art. Modern manifestations. Analytics” / Ed. by O.A. Krivtsun. – Moscow; St. Petersburg: Center for Humanitarian Initiatives, 2022. – 256 p.
Simple Linear Regression Method to Predict Cooking Oil Prices in the Time of Covid-19

The background of this research is the soaring price of cooking oil during the Covid-19 period which continues to increase in the city of Padang. The research method used is a case study of data on cooking oil prices in the city of Padang. The purpose of this study is to obtain predictions of cooking oil prices. Linear regression is used as a prediction method for cooking oil prices in the next X(t) period. The research method used is a case study using simple linear regression. In this study, the actual cooking oil price Y(t) is the effect variable and the time period is the causal variable. The linear regression equation obtained is Y'=25239+124.56X. Testing the accuracy of the prediction results using RMSE with a value of 0.1913. The prediction of cooking oil prices using the linear regression method can be said to be in the very good category, it can be seen that the RMSE value is very small in the test and meets the standards.
ESTUDIO TEÓRICO-EXPERIMENTAL DE LA RIQUEZA DINÁMICA DEL CIRCUITO DE HARTLEY

We study the dynamic behavior of a variant of Hartley’s circuit from numerical and experimental viewpoints. First, we observed the transition from regular to chaotic behavior considering as parameter controls either the values of resistors or inductors. We experimentally obtained the phase space of the circuits for different values of the parameter control and using specialized software for electronic circuits, we corroborated the experimental results. Finally, we characterized the circuit’s dynamical behavior with a related dynamical system determining phase spaces, bifurcation diagrams, and Lyapunov exponents. The phase spaces enabled us to have a qualitative insight into the dynamical behavior (regular or chaotic) when observing the shape of the related attractors. The bifurcation diagrams indicated how the dynamics evolve from regular to chaotic behavior or vice versa. Moreover, we observed the bifurcation cascade of doubling periods in the route to chaos. The largest Lyapunov exponent permitted us to eventually determine the chaotic or regular behavior of the system quantitatively, once more finding a good agreement with our experimental results.
Hybrid Data Selection With Context and Content Features for Visual Crowdsensing

Visual crowdsensing (VCS) is becoming predominant in mobile crowdsensing, but there still exist various unique challenges, including large sizes of visual data, multidimensional requirements, and intensive processing demands. As a key research problem in VCS, data selection filters out redundant data and only retains most representative samples, which can effectively reduce the complexity and cost for VCS. In this paper, we study a phase-by-phase data selection approach, in which metadata are first used to pre-select collected photos and then only selected ones are sent to a backend server for further processing based on content features. As such, the initial selection can be completed on nearby edge servers in mobile edge computing (MEC), while more intensive content processing can be done in a remote cloud. We evaluate different initial data selection algorithms using traditional performance measures as well as adapted clustering indices as quality metrics. Moreover, we formulate an integer linear program (ILP) problem for the final data selection based on the scale-invariant feature transform (SIFT) feature. This content-based selection can complement the initial data selection based on contextual metadata. The simulation results show the differences of these selection algorithms and provide guidance on how to choose an appropriate one according to application needs.
Penerapan Metode Electre Untuk Penilaian Kinerja Kepegawaian Pada Dinas Kependudukan Dan Pencatatan Sipil Kabupaten Pemalang

Assessment of employee performance is expected to know precisely the success in completing work. Employee performance appraisal is also useful for companies in providing feedback to employees and can be used as a basis for agencies to evaluate employee performance. Most government services currently utilize information technology as an information service to the public and the agency's internal services. In institutions, it is necessary to increase and develop the capabilities, knowledge and skills of its human resources, so that it is expected to be able to produce apparatuses that have competitive competencies. Therefore, the authors designed and built an employee performance appraisal system which was implemented using Electre and Web-based and Android methods. It is expected to be able to assist agencies in evaluating employee performance so that they can remain consistent in carrying out their duties as Civil Servants (PNS) within the scope of services to the community. This research uses the R&amp;D method. researchers only use up to step 6. Based on the results of trials of 10 respondents who have assessed the decision making system using the electre method, that the application of employee performance appraisal using aggregate ranking can help provide information on the level of employee performance based on predetermined criteria. Respondents agree that this system is more efficient in assessing employee performance with an average of the old system = 43.50% while the new system is = 84.50%.
THE EFFECT OF SONG LYRIC TEXT ON STUDENTS’ VOCABULARY MASTERY AT SEVENTH GRADE OF SMPI AL IKHLASH KASEMBON

This study was conducted to know the effectiveness of song lyric text on students’ vocabulary mastery at SMPI Al Ikhlash Kasembon in seventh grade. This study used pre-experimental research design with one experimental group only. The population in this research was seventh grade of SMPI Al Ikhlash Kasembon Malang consisting 24 students. The researcher used pre-test and post-test in multiple choice consisting 21 items format then the data was analyzed by t-test using SPPS version 30.After collecting data, the calculation of the data resulted the average (mean) score of pre-test and post-test.The mean score of pre-test was 25.0 with standard deviation was 14.166. Meanwhile, the mean score of post-test was 76.0 with standard deviation was 25.160. In testing hypothesis, the researcher used t-test formula. The result of t-test is -10.345 at the level of significance of DF is 23 and the Sig. (2-tailed) is 0.00 at the 95% confidence interval of the difference. Based on SPSS, the result is 0.00&lt;0.05. The Sig. (2-tailed) was lower than 0.05 so it means that there was significant between pre-test and post-test. So, the null hypothesis (H0) was rejected and the alternative hypothesis could be accepted. It means that the using of Song lyric text give positive effect to the students’ vocabulary. Keywords: Song Lyric Text, Vocabulary
The Series Pictures as Media Story to Developing Language Children Ability Group a Kindergarten in Merauke

This research was conducted on 7 Kindergartens in Merauke District, with a total of 200 children as research subjects. A small-scale trial was conducted on 50 children from 2 kindergartens in Merauke, namely Gotong Royong Kindergarten and Tunas Melati Kindergarten. The research method used in this study is research and development, which is a research method to develop or produce a learning product with the following steps: (1) determining potential and problems, (2) gathering information, (3) designing products, (4) design validation, (5) design improvement, (6) small-scale product trials, (7) product revisions, (8) large-scale product trials, (9) product revisions, (10) mass production. The researcher found that the implementation of the serial picture media as a storytelling medium could develop the language skills of the children of group A Kindergarten in Merauke. Maria Goreti Kindergarten, Motherland XI Kindergarten, Pembina State Kindergarten and Kartika VI9 Kindergarten. The researcher found that the implementation of the serial picture media as a storytelling medium could develop the language skills of the children of group A Kindergarten in Merauke.