Reviewerly/exHarmony huggingface dataset:
Penerapan Metode Fuzzy Tsukamoto Untuk Memprediksi Kebutuhan Praproduksi Pengolahan Tempe

As a staple food in Indonesia, people from various socio-economic backgrounds enjoy tempeh. Due to the popularity of tempeh and its low price, its health benefits have been widely recognized. Tempe production is still dominated by home-based businesses. Due to the ever-increasing demand, the Jakasampurna tempeh entrepreneurs, in the West Bekasi region, must balance the efficient production rate by maintaining the best quality of tempeh. The impact that occurs during pre-production related to the purchase of raw materials for making tempeh causes a lack of availability of basic ingredients for tempeh, even the difference is too large, the risk of ingredients being wasted. The research is intended to help micro business tempeh producers gain efficiency when processing tempeh, by offering management and production advice based on the valid data provided. This study uses a fuzzy inference system based on the Tsukamoto technique. In-depth conversations and direct observations at the tempe factory, provide sources of information data for calculations. This study examines the role of three (3) variables-demand (X), supply (Y), and output (Z)-in the processing and production of tempeh (Z). In a situation where the value of X (demand) and Y (supply) is uncertain, and Z (output) can go up or down, this means that the three variables give results where the uncertainty is not considerable enough. The results on the fuzzy set go up and down at stock (Y). Production (Z) consists of many and few fuzzy groups. The predicted amount of tempeh output, if it is known from the data with a demand of 1595 and an existing stock of 85, then a total of 1770 will be produced, thus the production rate becomes efficient by continuing to follow the recommended production amount, then there is little risk of accumulation of basic material storage because what is used is according to demand and the use of soy-based ingredients is always fresh.
IoT based Human Activity Recognition using Deep learning

Artificial intelligence and the Internet of things (IoT) are the fastest and latest growing technologies that can handle a huge amount of data in computing services. This paper presents a smart human activity recognition system based on IoT that can be used for surveillance purposes working as IoT-based armour. Pose estimation model viz. MoveNet has been employed to extract the anatomical key points from RGB video frames. Different subjects from different camera angles were employed to make the approach person-independent. Diverse Machine learning models such as Decision tree, support vector machines, XGboost, and random forest classifiers were employed using extracted keypoints for training the model for estimating human activity during posture estimation monitoring. SMS are sent to the designated person with the raising of buzzer alarm in case of anomalous behaviour detection.
Penerapan Metode SAW Dalam Peringkat Hasil Pembelajaran Siswa SMK (STM) Berdasarkan Rekapitulasi Nilai

Education and technology have a close relationship in their development. The process of implementing education has results that are indicators of success in the learning process. These results are the values that are processed or calculated based on the needs of each assessment. The value processing process will provide an overview of students' capabilities in understanding and mastering subjects. At the Panca Budi Medan Vocational School (STM) school, the value processing process is carried out without using a decision support system in the process of ranking student learning outcomes. The system used only performs value processing based on the presentation of student assessment components. So that teachers need a decision-making system that can help and facilitate the process, to avoid mistakes in ranking results and can save time. In this study, the SAW method is used as a multi-attribute decision support method in the process of ranking learning outcomes so that it can assist teachers in making decisions. Processing of value recapitulation comes from the assessment components, namely daily tests, midterm, and end of the semester from aspects of assessing students' knowledge and skills for each subject. The process of calculating the ranking of learning outcomes is carried out on sample data, namely 10 alternative students and 15 subject attributes in one class for one semester. The application of the SAW method and testing on sample data resulted in student ratings, namely alternative S5 with a value of 0.994 as the highest rank and S10 with a value of 0.908 as the lowest rank. Utilization of the system and application of the SAW method can help and make it easier for teachers to process grades and rank learning outcomes. So that based on the ranking results, teachers can improve the quality of teaching and provide solutions to deficiencies in the learning process
Healthy Food Recommender System for Obesity Using Ontology and Semantic Web Rule Language

Today's lifestyle and eating patterns tend to be irregular due to busyness. People prefer eating foods that are fast and easy to obtain, but often lack knowledge of the nutritional content in them. These eating patterns lead to unbalanced nutrition and can cause various health problems and diseases, such as overweight and obesity. Due to a lack of information, people often turn to drugs instead of learning about healthy diets, making it difficult for them to determine what menu to choose or what type of food to consume. While there have been many studies to recommend healthy food based on user preferences, there is currently no recommender system that includes serving size and budget for each daily food recommendation that is implemented in a chatbot framework. This study proposes using ontology and the Semantic Web Rule Language (SWRL) to store knowledge in the ontology and then process it using SWRL to produce food recommendations based on user preferences. From a sample of user data which obtained 170 recommended meal menus. System performance is pretty good. Based on the validation results from nutritionists, the precision value was 0.852941, the recall was 1, and F-score of 0.920634 So that a healthy food recommendation system can be used to help the user follows a diet that meets his nutritional needs and is within his budget needed
Teachers’ negotiation of the cross-curricular concept of student digital competence

Abstract In a digital society, teachers are required to carry out policy directives on both core knowledge and more vaguely described cross-curricular competences, one being digital competence. This paper reports on the findings of a study in which 41 teachers from three lower secondary schools in Sweden engaged in focus group interviews where they participated in sensemaking processes on students’ digital competence. The questions targeted what the teachers knew of their students’ digital experiences and how to facilitate and further develop these students’ digital competence. Based on the focus group interviews, four themes were identified: critical awareness , tool management , creativity , and avoidance of digital usage. Absent were themes related to democratic digital citizenship. The paper discusses the importance of moving away from a one-sided focus on individual teachers’ professional digital competence in favour of focusing on how school organizations can negotiate and facilitate students’ digital competence in local situ. Otherwise, there is a risk of overlooking students’ cross-curricular digital competence and digital citizenship. This paper is a starting point for further research on how school as an organization can support teachers in facilitating various areas of students’ digital competence in a digital society.
Sistem Pendukung Keputusan Pemilihan Kartu Internet Smartphone Menggunakan Metode MOORA dan WASPAS

Currently the internet is the most widely used source of information among the public to find the information needed. The use of the internet can meet the needs of information sources that are fast, easy, precise, accurate and inexpensive. Through the internet can access a variety of information and knowledge according to relevant needs. The internet also has several advantages that are not shared by other conventional sources of information, access to information can be done with restrictions on distance, time and space which is part of the advantages of the internet. Making it possible to get the source of the information obtained. Thus, based on the results of a survey conducted by the previous author, involving 30 respondents who had used internet service packages before, the result was that 90% of respondents had difficulty making the right choice, according to the criteria they wanted. With a decision support system using the MOORA and WASPAS methods, it will be easier to find a solution to the problem of choosing an internet package based on the conditions offered by the various internet operators themselves. These criteria include speed, signal, internet quota, active period and price. Based on the calculations of these two methods, the best smartphone internet card title is alternative A1 with the name Telkomsel with a value for the MOORA method, which is 0.437, while the WASPAS method is 0.942 as the best alternative. So that people don't need to worry about choosing an internet card for smartphones that are good and have good access speeds
UNDER LOCK AND KEY: A PROOF SYSTEM FOR A MULTIMODAL LOGIC

Abstract We present a proof system for a multimode and multimodal logic, which is based on our previous work on modal Martin-Löf type theory. The specification of modes, modalities, and implications between them is given as a mode theory, i.e., a small 2-category. The logic is extended to a lambda calculus, establishing a Curry–Howard correspondence.
Iraise Satisfaction Analysis Use The End User Computing Satisfaction (EUCS) Method In Department Of Sains And Teknologi UIN Suska Riau

The academic information system of UIN Suska Riau, called Integrated Academic Information System (IRAISE), is a web-based information system built with a view to the organization of academic data.The question of whether or not was carried out.Therefore, to maintain the quality of an information system, it is necessary to evaluate and factor in user satisfaction.End-User Computing Satisfaction (EUCS) is the method used to measure the level of satisfaction of the user of the application system by comparing the expectations and realities of the information system, determined by variable content, accuracy, format, ease of use, dan timeliness.The number of samples in this study is 97 responded, and used Probability Sampling with Stratified Random Sampling.Data analysis techniques using software MINITAB.This study collects data using the interview process and distributing questionnaires.From the interview results, it can be said that there are things that must be improved in iraise.Such as iraise often experiences errors when many are accessing.iraise must continuously be updated.From the evaluation, it can be stated that the user was less content with iraise on the format variables with valuation value 2.99, corresponding with value-3.92value-value 3.06, content variable with value-3.16value-and variable ease of use with value-3.26.This shows the user is less content with the Iraise.
Analisis Sentimen Masyarakat Indonesia Terhadap Dampak Penurunan Global Sebagai Akibat Resesi di Twitter

A recession is a significant reduction in economic activity and is spread across the economy at its greatest for more than a few months, but it can also be seen in Real GDP, Real Income, Employment, Industrial Production, and Wholesale-Retail Sales. Recently, there has been a lot of public opinion regarding the recession that will occur in 2023, especially in Indonesia, on various social media such as Twitter. Based on these problems, sentiment analysis was carried out on tweets to obtain information on the positive or negative polarity of these opinions using the Naive Bayes and Support Vector Machine (SVM) methods to choose a more effective way in case studies to determine sentiment predictions. The steps are taken consist of data collection, processing data, weighting data, classification process, evaluation, validation, and results and discussion. The web scraping technique was used, and after going through the data cleaning stages, a total of 780 tweet data was obtained. The results of the classification test show that the SVM method has a greater accuracy rate with a proportion of 79.5% compared to the Naive Bayes method with a proportion of 72.5%. The SVM method's prediction results also show several 144 positive and 636 negative sentiments. Judging from the Wordcloud that was formed, it can be assumed that people are worried about their economic conditions, one of which is the unstable oil price which can trigger a recession.
Sistem Pendukung Keputusan Pemilihan Tablet PC Menggunakan Metode WASPAS dan MOORA

Tablet Pc is a personal computer with a portable design that is equipped with a main input device, namely a touch screen and is designed for individual use. The use of the screen as an input intermediary can use a fingertip and a digital pen. Thus making the production of personal tablet pc increasingly improve its quality so as not to lose competitiveness. Decision Support System is a computer-based information system created to determine decisions so that they are more in solving problems that are structured and unstructured, so the resulting decisions are more appropriate. The system created is a system by utilizing the WASPAS and MOORA methods. A system that utilizes the WASPAS and MOORA methods so that it is suitable in determining the best type of Tablet PC. So the one that gets the title of the best Tablet PC is the A1 alternative with the name Samsung Galaxy Tab S8 Ultra with the value for the WASPAS method, which is 0.456, while the MOORA method is 0.439 as the best alternative
Board and card games project to raise awareness of school bullying

Systematic bullying is any act of physical or psychological, intentional and repetitive violence that occurs without evident motivation, practiced by an individual or group, against one or more people, to intimidate or assault them, causing pain and anguish to the victim, in a relationship of the power imbalance between the parties involved. The objective of this work is to an experience in teaching propose school games to raise awareness of school bullying. The games were designed in a multidisciplinary manner by undergraduate students who had no prior experience in building games. The theme of bullying was exposed in two projects funded by FAPES. Two games were designed: a board game and a card game. The design of the games was based on two methodologies from the area of Human Machine Interface, the user-centered design and the usability test. The pilot usability test was applied to the prototypes of the games created, which raised improvements that were later implemented in the projects. The students have also prepared all the necessary documentation for the ethics committee so that the game can be later refined in the last phase using a usability test with the children of a school.
Undersampling dan K-Fold Random Forest Untuk Klasifikasi Kelas Tidak Seimbang

Classification in Data Mining is a process of modelling that explains and differentiates data classes intending to estimate the class of an object whose class is unknown. Classification can be applied in various aspects so over time quite a lot of classification algorithms have been developed, but some problems are often encountered in classification, namely the problem of data imbalance. An imbalanced class is a condition where there are several data where the number of classes is not balanced or there is a significant difference in each number of classes. Most classification datasets do not have the same number of classes. However, the class imbalance is not a problem when the comparison between classes is not much different. Class imbalance can cause problems if left untreated because the resulting model predictions will tend to the majority group so that the contribution of the minority class to the model is small. One of the algorithms that are often used to handle unbalanced classes is the resampling algorithm. The purpose of this research is to apply the Resampling Undersampling Random Forest and Random Forest K-Fold Undersampling Algorithms to the Breast Cancer Diagnostic dataset from UCI Machine Learning. Undersampling was chosen because it produces better accuracy than oversampling. Recall accuracy for the K-Fold 10 Random Forest Algorithm is 83% and for Recall Undersampling Random Forest is 65%.
The Application Of Multi-Sensor Data Fusion Method with Fuzzy Time Series Model to Improve Indoor Water Prediction Accuracy Quality

There is a lot of indoor air pollution, especially from cigarette smoke, wall paint, air fresheners and gas. With this situation, the room uses Air Box WP6003 air quality detection device by transmitting information about air quality through visualization index. This study aims to improve prediction accuracy with fuzzy time series methods processed through 2 naïve and moving average models using forecast transformers and without transformers. The level of prediction accuracy is calculated through several metrics, namely Mean Absolute Percentage Error (MAPE), Sum of Squares Error (SSE), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). These results can be calculated between the actual value and the predicted value. The data used is 204584 data from 4 parameters including Temperature, TVOC, HCHO and CO2. The test results with the difference from the forecast transformer and without transformer are comparable. Temperature value obtained using naïve with transformer from RMSE of 0.158866 and naïve without transformer of 0.782397, data using moving average with transformer obtained by 0.147546 and moving average without transformer of 0.772570. This can be explained by the error analysis that was tried, where the error rate continued to increase so that the experimental results continued to be far from the actual number. From the test results it can be concluded that the accuracy of air quality prediction using naïve forecast transformer is pretty accurate.
The Evolution of News: Exploring the Shift from Print to Online Sources

This paper will conduct a comprehensive literature analysis with the purpose to study and evaluate research on the probable future of the news and the potential for digital outlets to replace print newspapers. The assessment covers a wide range of topics, including the benefits and drawbacks of media on the internet in specific, the demise of traditional media, and readers' changing news consumption patterns. The study discovered that print newspapers continue to have a lot to offer consumers and the profession of journalism, even as internet news evolves. According to the results, print and online newspapers will coexist in the future, each serving a different audience and serving a different purpose. A review of the relevant literature, which includes papers from academia, reports, and news articles, forms the basis of the research. According to the findings, the growth of the Internet has significantly affected the newspaper industry, with readership and income falling. Online information sources like social media and news websites have grown in popularity in the meantime. Yet many people still enjoy the physical experience of reading a newspaper, and newspapers continue to play a significant role in society. Finally, even while the growth of online information sources continues to pose problems for the newspaper industry, it is unlikely that they will ever totally displace printed publications.
Implementing artificial intelligence technology in the Television production environment.

The television production industry has evolved dramatically in recent era, the AI technology is one the manifestations of technical development. This study sought to identify the extent which Artificial Intelligence technology is used in the Arab television production environment and to measure its ability to deal with these technologies. Thorough and in-depth interviews in Saudi channel 1's AI technologies Abu Dhabi television, Saudi news channel, Algiers beur TV channel, Al-arbya channel, Alsharq Bloomberg channel, Dubai channel.&#x0D; The acquired findings revealed that the Arab media environment is equipped to enable AI technologies at the level of financial capacity to adopt technical capabilities to use, however, the empowerment of this technology at the actual level and in the near perspective seems to be somewhat unlikely. The prevailing institutional culture in TV production which is based entirely on the human component in display and operation, the identification of responsibilities and the traditional dimension of management make it difficult to create administrative, creative and institutional environment that allows for accelerated steps towards enabling technology effectively and efficiently.
Peran Media Pembelajaran Matematika sebagai Teknologi dan Solusi dalam Pendidikan Di Era Digitalisasi dan Disruption

Technology makes a very important contribution to mathematics learning. The main requirement for successful integration of technology in learning mathematics is about willingness and commitment to adapt to change through learning design activities by preparing the right learning tools and resources, including media. This study aims to determine the effectiveness of integrating media in mathematics learning in Grade VII of SMP Negeri 11 Gorontalo. The method used is descriptive which examines the teacher's ability to manage learning, student learning activities, responses, and learning outcomes. Based on the descriptive analysis of the results of research on the effectiveness of mathematics learning media as educational technology at SMP Negeri 11 Gorontalo with indicators of the teacher's ability to manage learning, student learning activities, student responses and classical learning outcomes it can be concluded that the teacher's ability to manage learning is categorized as effective, student activity is categorized effective, student responses to learning activities is positive, and classically complete learning outcomes. Thus, the integration of media in learning mathematics in Grade VII of SMP Negeri 11 Gorontalo can be said to be effective.
Using expert evidence on intellectual property: A practical perspective

There have been many studies on the role and legal value of expert evidence in intellectual property (IP) disputes and infringement cases. In the case of IP dispute and infringement to be resolved in the courts, the duty of these experts is to provide professional opinions in a way that is completely impartial, independent, reasonable, and transparent. It can be said that in a majority of cases, reliance on expert evidence demonstrates the role of expert opinions in assisting IP enforcement authorities in reaching their final decision on the case although the authorities are not bound by such evidence. Based on global practices, this article attempts to answer some initial legal questions such as when does an expert opinion become evidence? Is expert evidence the product of legal expertise or technical expertise? Is the expert evidence an administrative decision, and under what circumstances can it be used?