Reviewerly/exHarmony huggingface dataset:
Development of Website-Based Office Documentation Media Information System

This application is a form of development of the existing applications. Office Documentation Application is designed to store and document all activities of employees in and outside the office. In designing and developing this application, the study applied the waterfall method; then, the Javascript programming language was for the appearance, and the PHP and Mysql programming languages were for database processing. To make the application display more efficient, the researchers redeveloped this Office Document application to make it more optimal when used, both in terms of appearance and more complex functions. So, it is hoped that with the development of the Office Document application, users can get a new experience when using this application, followed by a better look and function.
Development of Short-term Solar Irradiance Forecasting Model Using ARIMA and Seasonal ARIMA in Daejeon

Solar irradiance is a major meteorological factor affecting solar energy generation.In this study, we develop a short-term solar irradiance forecasting model with a high time resolution to accurately predict the amount of solar energy generated and apply it to the real-time energy trade market.Two types of irradiance (Global Horizontal Irradiance and Direct Normal Irradiance) data observed at Daejeon, South Korea, are predicted using two time series analysis models (the ARIMA model, which does not consider seasonality, and SARIMA model which considers seasonality), which we compared to determine the model that is better suited to performing predictions.Comparing the prediction errors from 15 to 120 minutes, using RMSE and nRMSE as evaluation indices, GHI was better predicted using the ARIMA model from 15 to 75 minutes, while the SARIMA model performed better from 90 to 120 minutes.For DNI, the ARIMA model showed higher accuracy than the SARIMA model during the entire prediction period.
A Study on Photovoltaic Prediction Algorithm and Profitability for Machine Learning based Prediction Market Participation

With the introduction of the power generation prediction system, research is being conducted to predict hourly solar power generation through various algorithms and reduce prediction errors.However, increasing settlement revenue when participating in the prediction market is more important than improving prediction accuracy.In this study, we propose a method for predicting solar power generation using forecast and predicted weather data.In addition, the clustering algorithm was used based on solar radiation forecast data, and the causes of low prediction accuracy and profitability were analyzed for each cluster.Through this study, participation in the renewable energy generation prediction market is expected to be activated and opportunities for various business models will be provided.
PERUBAHAN TEKS DALAM NOVEL GENI JORA KARYA ABIDAH EL KHALIEQY TERBITAN MAHATARI DAN QANITA

Abidah El Khalieqy's work entitled Geni Jora has different publishers namely, Mahatari and Qanita. Geni Jora's novel raises the issue of women who always come second after men. The figure of Kejora is here to erase these stigmas. However, the writer sees that there are differences in the words and sentences of several characters in the texts published by Mahatari and Qanita. In addition, there are also spelling differences in the two publications. Therefore, the purpose of this study is to look at the text changes that occurred in the two publications. Using a literary sociology approach related to the publisher and its ideology. The method used is qualitative analysis by reading, recording and classifying techniques. The results showed that there were differences in the contents of the two publications. Mahatari and Qanita as publishers have their own strengths and weaknesses.
NARASI KEJIWAAN DALAM PUISI REFLECTION DAN ANXIENTY KARYA LANG LEAV (Psychological Narrative of Lang Leav’s Two Poems Reflection and Anxiety)

Poetry as a literary work may carry various messages of humanity and mental conditions. This study compares two poems entitled Reflection and Anxiety, which are inspired by psychological aspects of human being. The poems were written by Lang Leav, a female writer who gained popularity as International Bestselling Author through her poetry and prose. By applying the descriptive method in literary research, the comparison of the two poems’ narratives resulted in two findings. First, the similarities of the poems can be identified from the psychological themes expressed by distinctive diction, namely suggestive words, the use of parallelism and repetition to strengthen the expression as well as antithesis to delineate the contradictory situation. Second, the difference was identified from the psychological theme showing the feeling established in the poem. The poem “Reflection” shows that when a person can feel calmness, he/she is able to advise himself/herself to face various life’s obstacles. On the other hand, the poem “Anxiety” describes the psychological disorder that often exists and must be faced by compromising the weaknesses and strengths of anxiety.
ASPEK MOTIVASI HIDUP DALAM NOVEL “ANAK RANTAU” KARYA AHMAD FUADI

This study aims to describe the motivational aspects of life in Ahmad Fuadi's novel "Anak Rantau". This study used a descriptive method. The approach used is a literary psychological approach. The data collection techniques used in this study are literature studies. The source of data in this study is the novel "Anak Rantau" by Ahmad Fuadi. The results of the data analysis include aspects of life that occurred in the main character Hepi in overseas. The conclusion of the motivational aspects of life is in the form of (1) The motivational aspect of need for achievement, namely motivation to be liked, motivation to be liked, and motivation to be accepted. (2) The motivational aspects of need for affiliation are motivation to obtain appreciation, motivation to obtain love and belonging. (3) The motivational aspect of need for power is to require power and appear to have an influence on others and the need for a sense of security.
Software Implementation of Modified LSB Algorithm with Shamir`s Secret Sharing

Today, it is often necessary to transmit a confidential message of a small volume, while the use of complex cryptographic systems is difficult for some reasons. One of these reasons is the impossibility of using reliable products, which, as a rule, are commercial and unavailable to the average computer user. In modern information society, many services are provided with the help of computer networks and information technologies. Information presented in digital form must be reliably protected from many threats: unauthorized access and use, destruction, forgery, leakage, violation of license agreements, disclaimer of authorship, etc. Information protection is extremely important in both commercial and government spheres. The issues of developing effective methods of protecting digital information, in particular methods of computer steganography and steganalysis, are relevant and important for the state and society. To achieve the goal, it is necessary to propose a method of increasing stego-resistance, determine the effectiveness of the created solution and analyze the obtained results. The object of research is the process of protecting information embedded in a graphic e-container. The subject of research is methods and algorithms of computer steganography and steganalysis for images. The research methods used in this work are based on steganographic algorithms.
APLIKASI UNLALIA BATIK TROSO BERMUATAN EMPAT KETERAMPILAN BERBAHASA SEBAGAI INOVASI PEMBELAJARAN SISWA KELAS VIII SMP/MTs

In learning Indonesian at SMP/MTs Kudus, there are not many students use android-based media. Even though Android-based learning media is important, especially for persuasion material which includes four aspects of language skills. This study aims to analyze the needs of students and teachers in the use of learning media and then describe the development of the Unlalia Batik Troso application which contains four aspects of language skills. The research method used is Research and Development which uses the theory of Sukmadinata of three stages of development. The subjects in this study are 110 students consisting of: 32 students from SMP N 1 Undaan Kudus, 40 students from Mu'allimat NU Kudus, and 38 students from MTs NU Assalam Jati Kudus. Students and teachers state that learning media is important in the Indonesian language learning process. This can be seen from the results of the needs analysis with the percentage of 67% of Indonesian teachers stating that they really need learning media and 33% stating that there is a need for learning media. The results of the analysis of student needs are that 92% of students really need application learning media and 8% of students say they need application media. While the results of the development of the Unlalia Batik Troso application prototype utilize several supporting applications, namely Canva, CapCut, Microsoft PowerPoint, and Smart Apps Creator.
Zoom-Based Arabic Learning During and Post Covid-19

Arabic students of IAIN Kendari are unique in terms of their living environment which still had internet network issues lead to different experiences in using Zoom. Research on the sustainability of Zoom-based Arabic learning during the Covid-19 pandemic aimed to analyze creative and innovative learning models and observe through the perception of Arabic students of IAIN Kendari towards the use of Zoom as a learning medium during COVID-19. A qualitative and phenomenological approaches were used. The data were collected by interviews and documentation. The respondents in this study were 20 Arabic course students from the 2019 batch who attended lectures using Zoom. Data analysis, data reduction, data display and conclusion were discussed. The results showed varied responses from students to Arabic learning based on Zoom. Most of the students stated that Zoom was well applied in learning compared to other media. It was also proved efficacious with a few palpable advantages, such as students’ visibility during classes and room capacity to accommodate larger numbers of students. The results illustrated that Arabic learning on Zoom, both during and post Covid-19, may continue by considering the condition of the student learning environment. After participating in distance learning through its application, the changes occurring at the level of students pertain to increased levels of involvement in the use of ICT, leading to the learners who initially did not use the platforms and switching to Zoom as a learning medium and benefiting from discussions and other existing features.
ANALISIS CLUSTER FAKTOR PENUNJANG PENDIDIKAN MENGGUNAKAN ALGORITMA K-MEANS (STUDI KASUS: KABUPATEN KARAWANG)

Education is one of the means to create and improve the quality of better human resources. This is expected to improve human welfare. Based on data from the Ministry of Education and Culture, there are 4 sub-districts in Karawang Regency that do not have state high schools. This can result in difficulties for students who have financial deficiencies which can ultimately lead to dropping out of school. Then apart from that distance can also be an obstacle. The purpose of this study is to apply the clustering method for the distribution of educational supporting factors in Karawang District so that later this research can improve the quality of education evenly in Karawang District, not only concentrated in certain areas by paying attention to educational supporting factors. The algorithm used in this research is K-Means. The elbow method used in determining the optimal cluster supported by the silhouette method resulted in the best number of clusters being 2 clusters. The results of the clustering evaluation resulted in Davies-Bouldin Index (DBI) value of 0.408 and Silhouette Coefficient value of 0.747 (strong structure). Cluster 1 consists of 7 sub-districts and Cluster 2 consists of 23 sub-districts. Based on the results of clustering analysis, Cluster 1 has the average number of attributes of schools, teachers, classes, laboratories, libraries at all levels of education (SD, SMP, SMA, SMK, and SLB) with state status and the population shows higher results if compared with the average number of each attribute in Cluster 2. So it can be concluded that Cluster 1 is a high category and Cluster 2 is a low category.
Quantifying Prediction Uncertainty in Regression using Random Fuzzy Sets: the ENNreg model

&lt;p&gt;We introduce a neural network model for regression in which prediction uncertainty is quantified by Gaussian random fuzzy numbers (GRFNs), a newly introduced family of random fuzzy subsets of the real line that generalizes both Gaussian random variables and Gaussian possibility distributions. The output GRFN is constructed by combining GRFNs induced by prototypes using a combination operator that generalizes Dempster's rule of Evidence Theory. The three output units indicate the most plausible value of the response variable, variability around this value, and epistemic uncertainty. The network is trained by minimizing a loss function that generalizes the negative log-likelihood. Comparative experiments show that this method is competitive, both in terms of prediction accuracy and calibration error, with state-of-the-art techniques such as random forests or deep learning with Monte Carlo dropout. In addition, the model outputs a predictive belief function that can be shown to be calibrated, in the sense that it allows us to compute conservative prediction intervals with specified belief degree.&lt;/p&gt;
ANALISIS KELAYAKAN PEMBERIAN KREDIT KOPERASI DENGAN METODE DATA MINING DECISION TREE

Savings and loan cooperatives provide credit to members with certain criteria. This study was conducted to analyze the feasibility of providing credit to members of savings and loan cooperatives. In developing their business cooperatives have problems choosing employees who are eligible or not in providing savings and loan cooperatives so that the cooperative's financial cycle can run in an orderly and smooth manner. The attributes used as test data are discipline, class, age, years of service, and other income. The research uses the decision tree algorithm C4.5 data mining method with rapidminer tools on the data of prospective cooperative creditors. The results obtained are 94.27% accuracy, 100% precision, and 89.29% recall.
Smart Control Monitors the Active Period of Using Biofilters on Motor Vehicle Exhausts

Many natural ingredients can be used as biofilters, but the use of biofilters is constrained by the difficulty of knowing when the saturation period is so that the active ingredients can be replaced immediately. The research aims to make a smart control of the active period of a motor vehicle exhaust biofilter that effectively provides information about the active period of the biofilter used. The tools and materials used are motorbikes, exhaust biofilters, MQ-135 sensors, exhaust filter housings, ESP8266 Node MCUs, 16 x 2 LCDs, switches, jumper cables and smartphones. The data collection method uses measuring CO2 levels using the MQ-135 sensor, which is read on the LCD screen and sends notifications to smartphones via the Telegram application. Data analysis used descriptive statistical analysis presented in tables and graphs. The results showed that the smart control filter is a blend of leaf biofilter Simplicia, filter housing, MQ-135 sensor, power bank, IoT, LCD screen and cellphone installed with the Telegram application. To turn on the sensor so it can send notifications to the LCD screen mounted on the speedometer, you need to turn on the ON button. CO2 levels and filter status will be read on the LCD screen. Notifications are also sent to cellphones via the telegram application so owners can find CO2 levels and control the active period of using leaf biofilter simplicial.
Big data as an ecological hypothesis generator

Few textbooks on research methods offer more than a few words of advice on how to devise scientific hypotheses. Big data is conceived as a hypothesis-generator procedure, a disruptive analytical innovation that is reconfiguring ecological research. My theses are (a) the hypotheses that big-data can originate “stricto sensu” are empirical generalizations that do not provide ecological understanding, (b) empirical generalizations may encourage instrumentalist research, but cannot supply ecological explanation, and (c) generalizations emerging from data-driven research can serve as a problem-generating procedure if they are reflected in the context of the theoretical framework surrounding the research. Discovery (e.g., novel patterns shown by big-data analysis) and invention (e.g., hypotheses on mechanisms and processes conjectured by the human mind) are complementary tools in ecological research because they play different epistemological roles. Data-driven research provides a useful analytical tool, but it does not justify any epistemological or methodological paradigm shift.
Regresi Data Panel Untuk Pemodelan Jumlah Penderita Tuberculosis di Kabupaten Bojonegoro

Tuberculosis is a type of infectious disease that is contagious and causes death. In Bojonegoro district, the number of tuberculosis patients is quite high, reaching 3,401 patients in 2019. The DOTS strategy has been used, but it is not optimal in reducing the incidence of tuberculosis. Therefore, research is needed to determine the faktors that significantly cause the incidence of tuberculosis and predict the incidence of tuberculosis for some time to come. The incidence of tuberculosis is not only influenced by the faktors causing tuberculosis but is also influenced by a certain period of time. So that in this study the panel data regression method will be used to model the number of tuberculosis patients in Bojonegoro district in 2018-2020. The variables used are the number of tuberculosis sufferers (Y), the number of stunting cases (X1), the number of trained health workers (X2), the number of proper sanitation (X3), the number of PHBS households (X4), and the number of productive age population ( X5). Based on the analysis results show that the best estimation model is using the Fixed Effect Model (FEM) approach. The variables that significantly affect the number of tuberculosis sufferers in Bojonegoro district in 2018-2020 are the number of stunting cases (X1), the number of proper sanitation (X3) and the number of productive age population (X5) with a coefficient of determination of 71%.
Mind Mapping: Reading Comprehension Technique of Arabic Texts for Students in Higher Education

In the context of the curriculum in Madrasah (Islamic school), using mind mapping in the learning process of Arabic text reading skills is an alternative chosen to improve student's reading competence. This study aimed to describe the design process of learning Arabic text reading skills by utilizing mind mapping techniques, as well as showing the form of mind mapping that has been prepared by students individually and in groups. Qualitative method was a suitable method used in this research with the object of research was students of Arabic language study program. The research data was extracted through observation and documentation. Observation is done by observing the course of the learning process and documentation in the form of student work in the form of mind mapping is analyzed. The International Class Program (ICP) of students selected in this study amounted to 50 students in department of Arabic Language and Literature at Universitas Islam Negeri Maulana Malik Ibrahim, Malang.The findings of this study showed that the compiled mind mapping shows the creativity of students, where each student makes a different and varied mind map, both in shapes, colors, and hyphens. The concept of the Buzan model mind mapping used in this study. This study concluded that learning text reading skills using mind mapping has made students more creative, active, confident, and easy to understand.
FITUR AKUSTIK PADA POLA INTONASI ANAK AUTISM SPECTRUM DISORDER DAN KONTROL MENGGUNAKAN FONETIK EKSPERIMENTAL (Measurement of Acoustic Features on Intonation Pattern in Children with Autism Spectrum Disorder and Control Using Experimental Phonetics)

This study aimed to analyze prosodic elements of speech segments of children with Autism Spectrum Disorders (ASD) and compare with the control group (typical development children); 9-10 years old.. The instrument of the research was used as script, which contains interrogative and declarative sentences. Data were analyzed using the PRAAT software. The acoustic features of the measured are the value F 0 , the mean value of F 0 , the initial pitch, the pitch range, the final pitch, and the temporal aspect. The results showed that acoustic measures in speech produced by ASD children tend to vary so that it is difficult to establish intonation patterns. The children produce intonation patterns with sloping contours in declarative and interrogative sentences, and tend to make the final pitch lengthening so that speech tends to show inclination patterns. The dominant variation occurs in the initial F 0 , there is a tendency for the initial F 0 production to be higher compared to the second pitch. Although the intonation patterns of ASD and typical development are different, there is a tendency for the same pattern, namely the lengthening of the pitch in the final speech which has an impact on increasing the total duration or temporal aspect.
Technology-Assisted Project-Based Language Learning on Wetland Concern

In the midst of independent learning, the implementation of project-based learning method is inseparable. By employing a quasi-experimental study involving English Department students in an experimental class and a control class, this study investigated the effectiveness of Technology-Assisted Project-Based Language Learning with wetland-based concern. The data was collected from the presentation project score and a questionnaire given to the students. The collected data was then analyzed by using Mann-Whitney test and descriptive statistics. Focusing on the two-fold foci, the results showed significant result where the students in the experimental class performed better than those in the control class. Collaboration, motivation, authenticity and students’ mastery to the technology that is Storyjumper impacted to the significant result in this study as confirmed in the questionnaire results. Students perceived positively to the implementation of technology-assisted project based language learning in wetland concern. The result of this research study is expected to be used in teaching and learning in the field of learning English as a foreign language and to encourage students to apply technological innovations in the field of learning English in a wetland environment.
The Identification of Intertextual-Based E-Book to Develop Student's Representational Ability on the Concept of Buffer Solution

In chemistry education, it is necessary to understand each level of representation. Theresearch aims to improve the representational ability of the buffer solution concept with an intertextual-based e-book prototype. Besides each level of representation, the relationship between the levels must be understand too since students' inability to visualize structures and processes at the submicroscopic or molecular level can lead to misconceptions.The observer's assessment of the implementation of interactive e-books in learning has a percentage of 83.31%, categorized as very high. This study uses a literature review of 40 articles and four chemistry textbooks.According to the literature study, multimedia tools have demonstrated their power and value for modeling, learning, and assessment perspectives due to their visualization nature, multiple representational links, and dynamics. One of the learning media that can contain multimedia is an interactive e-book. The study results are one of the efforts to improve representational abilities in buffer solutions, namely intertextual-based e-books, which can visualize concepts in chemistry and improve conceptual understanding.