Reviewerly/exHarmony huggingface dataset:
Diagnosa Tingkat Depresi Mahasiswa Selama Masa Pandemi Covid-19 Menggunakan Algoritma Random Forest

Covid-19 virus has become a pandemic across the world, including Indonesia. Based on the data from the Covid-19 Handling Officer Unit, the number of Covid-19 sufferers in Indonesia until February 15, 2021 reaches 1.2 million people . The n umber of daily cases that continues to grow has forced the government to enforce policies to work, study, and worship from home to minimize the Covid-19 transmission. T h e policy and many Covid-19 sufferers Indonesia affect the mental health of people, including students of Singaperbangsa Karawang University. Therefore , this research aims to diagnose the initial level of depression in students of Singaperbangsa Karawang University during Covid-19 pandemic by using data mining with Random Forest algorithm. The m ethod used in this research is KDD (Knowledge Discovery in Database) with data used come from PHQ-9 questionnaire given to 392 respondents according to calculation of Slovin formula. Evaluation model used is 10-fold cross validation, with accuracy, sensitivity and specificity parameters. The results of the research show the depression level prediction model using Random Forest algorithm has an accuracy of 85.94% . From 392 students, 1.02% of students are normal, 47.96% have mild depressive symptoms, 36.73% have mild depression, 8.16% have moderate depression, and 6.12% have major depression.
Communicating with brand names in the sustainable Finnish fashion industry

The global textile industry has a significant environmental impact since the current system for producing, distributing and using clothing exhausts natural resources. However, while there has been a growing awareness of negative environmental impacts among customers, more and more clothing companies have aligned themselves with the principles of sustainability. This paper investigates whether and how clothing companies express the notion of environmental sustainability in their names. The data consist of 114 company and brand names in the sustainable Finnish textile industry, supplemented with information taken from the webpages of these companies. The analysis focuses on the semantic features of the names, and it is based on a cognitive-discursive view and metaphor theory. The choice of language has been examined as part of name semantics. Many companies have written the story behind the brand name on their website. Names can convey direct notions of sustainability and circular economy (Pure Waste, Relove, Upcycler). Names that consist of words referring to nature (Cocoon house, Weekendbee) have an indirect relation to corporate sustainability. Some names consist of a personal name, which underlines the responsibility of the brand, or a place name, which may highlight locality. Valuing local production is also behind the choice of Finnish as the language of the name.
Sustainability Enhancement Through Information Technology in Higher Education

The quick evolution and development of digital technologies contribute to changes and turning points in every aspect of the modern society. Managing these the digital changes and turning them into long-term sustainable solutions for higher education could be a real challenge. Technology offers immeasurable opportunities to the learning environment and higher education is rapidly integrating information and communication technology (ICT). This paper is discussing the concept of enhanced sustainability in education through learning technologies like applications, electronic resources, and teaching methods for educational development. Technology in higher education is particularly important, therefore it is important to assess the quality that it can provide and the impact on sustainable education. The educational system has been also harshly affected by the latest pandemic situation, which brought significant consequences on the social, economic, and cultural life worldwide. This paper aims to contribute with insights to the literature in the field, by emphasizing that the latest situation around the world could be a great opportunity for further implementation and development of digital technologies for sustainable learning. The methodology used for fulfilling the study goal is a qualitative one, particularly the technique used is data analysis from secondary sources. The results of this analysis lead to the conclusion that there is need and room for improvement of digital sustainable resources in higher education, which includes the challenges that the academic environment face and need to overcome if their goal is to stay relevant on the education market.
Perancangan Sistem Pengaduan Bantuan Pada Korban Bencana Gempa Bumi menggunakan Metode Waterfall

Earthquakes are the biggest threat of natural disasters in Indonesia because they occur suddenly and attack densely populated areas, such as large cities. Earthquakes with a magnitude of about 5 or 6 on the Richter scale occur in almost all regions in Indonesia. If the force of the earthquake passes 7 on the Richter scale, it can cause a lot of damage. After the earthquake caused many fatalities, material losses, and others arising from this disaster. During this time after an earthquake natural disaster, residents have difficulty informing victims and damage to homes because by using a system that is still manual. Website design using waterfall method, the website will make it easier for the public to report information related to the number of victims of each family member, damage to the house and disbursement of funds if the data has been approved by the officer. The results of the study, namely getting information related to damage due to earthquake disasters from the side of residents / victims.
Modeling of a solar water heating system for a private hospital in Sana’a, Yemen using TRNSYS: دراسة استخدام الطاقة الشمسية لإنتاج المياه الساخنة لمستشفى خاص في صنعاء باستخدام برنامج المحاكاة TRNSYS

The objective of the present work is to simulate and analysis the performance of a proposed solar water heating system for a 160-bed capacity private hospital in Sana’a City-Yemen. The systems consist of solar collectors, hot water circulation pump, a storage tank with an electrical heater, and identical auxiliary components. The simulation and the thermal performance analysis have been done using TRNSYS software. In addition, a comparison between the performance of evacuated tubes collectors and flat plate collectors was done to justify the selection of ETC for the designed. The thermal performance analysis shows that the evacuated tubes collectors have an annual contribution of 87.73 MWh with an annual average solar fraction of 63 percent and annual average installation efficiency of 68 percent.
Capturing the Basics of the GDPR in a Well-Founded Legal Domain Modular Ontology

The primary goal of the General Data Protection Regulation (GDPR) is to regulate the rights and duties of citizens and organizations over personal data protection. Implementing the GDPR is recently gaining much importance for legal reasoning and compliance checking purposes. In this work, we aim to capture the basics of GDPR in a well-founded legal domain modular ontology named OPPD (Ontology for the Protection of Personal Data). Ontology-Driven Conceptual Modeling (ODCM), ontology layering, modularization, and reuse processes are applied. These processes aim to support the ontology engineer in overcoming the complexity of the legal knowledge and developing an ontology model faithful to reality. ODCM is used for grounding OPPD in the Unified Foundational Ontology (UFO). Ontology modularization and layering aim to simplify the ontology building process. Ontology reuse focuses on selecting and reusing Conceptual Ontology Patterns (COPs) from UFO and the legal core ontology UFO-L. OPPD intends to overcome the lack of a representation of legal procedures that most ontologies encountered. The potential use of OPPD is proposed to formalize the GDPR rules by combining ontological reasoning and Logic Programming.
Comparison of Different Multispectral Images to Map Hydrothermal Alteration Zones in Kokap, Kulon Progo

Using remote sensing data for hydrothermal alteration mapping beside saving time and reducing cost leads to increased accuracy. In this study, the result of multispectral remote sensing tehcniques has been compare for manifesting hydrothermal alteration in Kokap, Kulon Progo. Three multispectral images, including ASTER, Landsat 8, and Sentinel-2, were compared in order to find the highest overall accuracy using principle component analysis (PCA) and directed component analysis (DPC). Several subsets band combinations were used as PCA and DPC input to targeting the key mineral of alteration. Multispectral classification with the maximum likelihood algorithm was performed to map the alteration types based on training and testing data and followed by accuracy evaluation. Two alteration zones were succeeded to be mapped: argillic zone and propylitic zone. Results of these image classification techniques were compared with known alteration zones from previous study. DPC combination of band ratio images of 5:2 and 6:7 of Landsat 8 imagery yielded a classification accuracy of 56.4%, which was 5.05% and 10.13% higher than those of the ASTER and Sentinel-2 imagery. The used of DEM together with multispectral images was increase the accuracy of hydrothermal alteration mapping in the study area.
Forecasting the Number of New Cases of COVID-19 in Indonesia Using the ARIMA and SARIMA Prediction Models

In June 2020, the Indonesian Government announced to implement a new normal policy as a result of the increasing number of new cases of coronavirus disease (COVID-19) every day, but many new cases until August 2021 were still above June 2020.To control the spread of this pandemic, the Government implements a limiting community activities policy.For this reason, to predict the success of this policy forecasting many new cases in the future is necessary.The purpose of this study is to provide the estimated number of COVID-19 new cases in Indonesia.This study applies two mathematical models: Autoregressive Integrated Moving Average (ARIMA) and Seasonal ARIMA (SARIMA).This research method begins with determining the source of the data.Based on daily observation data from July 25, 2020 to September 9, 2021, identification and estimation of ARIMA and SARIMA modeling were carried out.Based on the calculation results of Akaike's Information Criterion (AIC) and Bayesian Information Criterion (BIC), ARIMA (5, 1, 4) and SARIMA (2, 1, 2)(0, 1, 1) 7 are the most suitable model.Furthermore, based on the calculation results of the smallest Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percent Error (MAPE), the ARIMA(5, 1, 4) model is the most suitable forecasting model for the number of new COVID-19 cases in Indonesia
Blended Learning: Strategi Pembelajaran Alternatif di Era New Normal SD Tunas Harapan

The program to help students learn is a community service carried out at SD Tunas Harapan Tanjung Anom, which is located at Jl. Griya Permata II housing, Durian Jangak, Pancur Batu District, Deli Serdang Regency, North Sumatra, for 1 month starting from August 16, 2021 until August 22, 2021. The activities carried out in this service are teaching and learning activities in schools and assisting students in doing school assignments which are carried out for 1 month. Teachers or students can combine face-to-face learning and online learning which is called blended learning. Blended learning can bemake it easier for students and teachers to share and receive materials online. In addition to students can using advanced technology when learning online, students can still learn face to face directly. The material comes from thematic books and guide books from schools. In the implementation of this service, there are several obstacles such as: inadequate facilities, lack of attention from students in studying at home, lack of awareness of students about their responsibilities in doing assignments, lack of communication and parental attention to their children.
Development and Usability Evaluation of a Virtual Reality Application for Exploring University Labs

Although virtual reality (VR) was initially created as an entertainment medium way back over 70 years ago, it has developed beyond its scope and we are now using it for many other purposes, like education, training and medicine.When it comes to an amazing VR experience, what glues everything together is the level of interactivity and the usability of the application itself.In this paper, we describe a mix of in-person and remote usability testing sessions, with analytics and questionnaires, that we performed to evaluate an educational VR application which was built for Politehnica University of Timisoara (Romania).We conclude with some general feedback and insights that might help other researchers and practitioners in improving similar applications.
Perspectives on digital government in Africa: Where do we go from here?

Information, knowledge, and technology occupy significant space in the information and knowledge society and ongoing debates on development such as sustainable development goals (SDGs) agenda 2030 and the fourth industrial revolution (4IR). Disruptive technologies and cyber-physical systems, obscuring the lines between the physical, digital and biological, escalated by the COVID-19 pandemic, present a ‘new normal’ that profoundly affects the nature and magnitude of responses required to sustain and benefit from the new developments. Africa, known for late adoption of new technologies and innovations, is leapfrogging development stages in several enviable ways. This book, Information knowledge and technology for development in Africa’, written by eminent African scholars, comprises chapters that satisfactorily address information access, artificial intelligence, information ethics, e-learning, library and information science education (LISE) in the 4IR, data literacy and e-scholarship, and knowledge management, which are increasingly essential for information access, services, and LISE in Africa. We expect the book to support research, teaching and learning in African higher education and worldwide for comparative scholarship.
Digital Image Analysis Of Single Rectangular Slit Fraunhofer Diffraction Patterns

Study of the single rectangular slit Fraunhofer diffraction pattern has been carried out through experiments. Data acquisition was done by manually measuring the distance of the bright and dark diffraction patterns using millimeter block paper and by means of digital images analysis of the diffraction patterns. The digital images were used to obtain the bright and dark intensity data of the pattern as the function of the distance from the center of the pattern. The process of obtaining the data was carried out as follows: image acquisition, image digitization, image quality enhancement, graphics plotting and chart normalization. The data processing is done analytically and computationally using ImageJ software. The results of the digital image analysis of diffraction patterns produce an intensity graph of the distance of the diffraction pattern (I-y chart). The results from the digital image analysis approach provide an alternative method that is more accurate in the process of calculating the physical magnitude of diffraction parameters such as the wavelength of the source. One of the advantages of this method is that intensity of the diffraction pattern can be visualized as a function of the distance from the center of the screen. Although accuracy of the calculation result is not very high, the magnitude of the intensity can be observed to decrease with increasing distance of the diffraction pattern to the center of the screen. The results of the calculation of the source wavelength by means of digital image analysis provides good results compared to the manual method using the millimeter block paper. The smallest mean error of the wavelength by means of digital image analysis is 1,72% and the manual method using the millimeter block paper is 3,84%. This method of measurement using digital image analysis can be used as an alternative for various position or distance-based measurement, such as the calculation of linear expansion coefficient with a single slit diffraction method.
Analyzing Students’ Needs for Essay Writing Course at University

As a part of research and development, this research aimed to identify students' need in Essay Writing course at higher education.This descriptive research was conducted by administering a needs analysis questionnaire to the fifth semester students as well as by conducting an interview to the Writing lecturer and the head of English Education Department.The questionnaire and interview guideline were elaborated from the needs analysis indicators including the purpose of learning Essay writing, the methodology, available sources, students' characteristics, and the setting of the course.The results revealed that (1) Essay Writing course was dominantly delivered by having presentation and discussion; (2) Students were motivated to learn through various techniques and strategies providing more opportunities to practice writing, to participate in tasks to develop their writing ability, to access various learning sources and examples, and to get guidance from the lecturer to revise their writing; and (3) Essay Writing course needed to facilitate learning which assisted students to take control and become active participants in their own learning.Overall, this research implied the need of an appropriate learning model which provided an insight and guidance to fulfill the needs in order to enhance students' ability in writing an essay.
Supplemental Material for Investigating factors that affect the adoption of COVID-19 contact-tracing apps: A privacy calculus perspective.

On June 16, 2020, the German government issued a coronavirus disease 19 (COVID-19) contact-tracing app whose privacy settings were fiercely debated in advance.Contrary, potential benefits regarding the acceleration of contact tracing were advertised.This study investigated the relative importance of privacy concerns and perceived benefits in relation to the decision to use the app adopting a privacy calculus perspective extended by trust in app privacy and technological knowledge about the app.Results of a representative German sample (N = 952) revealed that privacy concerns were negatively related to app usage, and perceived benefits and knowledge were positively related to actual app adoption.Additionally, perceiving app benefits was the most important factor for (continued) usage intention, while privacy concerns did not play a role anymore.Trust was strongly negatively associated with privacy concerns and strongly positively with perceived benefits.Results are discussed concerning consequences for communication strategies when launching technology whose adoption should help in mitigating dangers of pandemics.
A Cryptographically Stable Computing Machine

Malware plays a critical role in breaching computer systems.The computing behavior of a register machine program can be sabotaged, by making a very small change to the original, uninfected program.Stability has been studied extensively in dynamical systems and in engineering.Our primary contribution introduces a computing machine that is structurally stable to small changes made to its program instructions.Our procedures use quantum randomness to build unpredictable stable instructions.Our procedures can execute just before running a program so that the computing task can be performed with a different representation of its instructions during each run.Our procedures are inspired by the Red Queen hypothesis in biology: organisms evolve using robustness, unpredictablity and variability to hinder infection.Another contribution expands the mathematical notion of stability to a cryptographic model with an adversary, and explains why structurally stable machines can be resistant to malware sabotage.
PERSONAL SKILLS AND COMPETENCES IN THE LEARNING PROCESS

The myth of highly motivated young man who started as a mail carrier and through hard work and consistency rises to highest level in his career, is no longer current. Before today's professionals stand requirements which include, a university level education, competence, and skills that involve teamwork and leadership. Learning is a lengthy process that leads to the accumulation of knowledge and skills - competencies. Serious successes do not happen quickly and they require diligence and responsibility - to ourselves, to personal development, to work. The pursuit of higher order will allow them to reach new levels of personal growth and efficiency. This process should be subject of desire the gained knowledge and skills to be used after graduation at work and for communicating.
Education of mathematics during the coronavirus crisis

At the turn of 2019 and 2020, after the emergence of a new type of coronavirus, a new situation arose worldwide. This crisis has also caused changes in education at all levels schools in Slovakia. Primary schools, secondary schools, but also universities had to transfer their teaching from buildings to online space. We switched to distance education. We were forced to develop a number of new digital teaching aids, both in the form of Word texts, but also animated and spoken Power Point lectures. We also used the prepared lectures, which we found on the Internet. After the study materials presented and distributed in this way, we also performed a retrospective check of the acquired knowledge by the students. It was the elaboration of written works by students in individual study units, but also seminar works, credit and exam works. Students received points for each work submitted in this way. By adding the points obtained in this way, the students were awarded a total mark according to the ECTS credit scale. In our paper, we also deal with the evaluation of points obtained by students. We found out whether mastering individual knowledge had an impact on the control of others and how it affected the overall evaluation of the student.
The effect of cross-curricular integration on pupils’ knowledge gained through experiential learning

This study examined the effects of the cross-curricular model of integrating mathematics and science with experiential learning on the knowledge of 3rd grade primary school pupils in Slovenia. The purpose of this research was to design and implement school lessons rooted in integrating maths with science and concrete experience, and handling real objects. In the experimental group (N=149), maths and science lessons implemented a cross-curricular model which integrated experiential learning. In the control group (N=155), maths and science were taught as separate subjects without experiential learning. The data was collected with pre- and post-tests to establish pupils’ knowledge. Differences between groups were analysed through Mann-Whitney U test and Wilcoxon signed-rank test and showed that pupils from the experimental group performed better at the 2nd and 3rd TIMSS cognitive domain. Findings indicate that the cross-curricular learning model has a positive effect on pupil’s achievement in science and mathematics.&#x0D; &#x0D; Keywords: Cross-curricular integration, mathematics, science, experiential learning, TIMSS, cognitive domains