Reviewerly/exHarmony huggingface dataset:
Pendekatan Univariate Time Series Modelling untuk Prediksi Kuartalan Pertumbuhan Ekonomi Indonesia Pasca Vaksinasi COVID-19

The development of COVID-19 has had a significant negative impact on Indonesia’s economic growth based on the indicator of the value of the quarterly year of year data in 2020 and 2021. Economic growth is still experiencing a recession per first quarter with a percentage of - 2.19 percent at the beginning of 2021. The government has to take vaccination measures for the community gradually with the aim of reducing the number of sufferers of these cases. The purpose of this study is to predict economic growth quarterly after vaccination using 3 (three) univariate time series models, namely ARIMA, Holt-Winters and Dynamic Linear models for policymaking. Holt-Winters and Dynamic Linear models make it possible to handle time-series data containing trends and seasonality. The data is divided into training data and test data obtained from the ministry of finance and the Indonesian Central Statistics Agency (BPS). The goodness of the model uses MSE, MAE and U-Theil criteria. Based on the results of the analysis using the R library, the results show that the best modelling for economic growth data is the ARIMA model with the lowest MSE, MAE and U-Theil values with the difference between the models being 0.000242. The ARIMA model looks better than other models because the economic growth data only contains trends and assumes a seasonal element in the data. In addition, the Holt-Winters and Dynamic Linear models produce a forecast for Indonesia’s economic growth to still experience a recession (negative growth) in the next four quarterly data, while the ARIMA model produces a positive growth forecast in the fourth quarter.
An Integrated Development of a Query-Based Document Summarization for Afaan Oromo Using Morphological Analysis

Objective: To develop document summarization for the Afaan Oromo language based on the query entered by the user (s).Methods: This study follows the design science analysis technique as a result of its considerations of thoughtful, intellectual, and ingenious activity throughout problem-solving and the creation of knowledge.The developed query-based framework has used the TF-IDF term weight methodology.Development tools such as HornMorpho are employed for morphological analysis; whereas, Natural Language Processing Toolkit is employed for the text process.The system has experimented on the various extraction rates of 10%, 20%, and 30%.The result's evaluated exploitation recall, precision, and F-measure for objective analysis; whereas, subjective analysis has been evaluated by language consultants.Findings: The results of the evaluations showed that the proposed system registered f-measure of 90%, 91% and 93% at a summary extraction rate of 10%, 20%, and 30% respectively.The informativeness and coherence of the proposed system also registered its best performance summary of 51.67%, 56.67 % and 54.17% average score on five scale measures at an extraction rate of 10%, 20%, and 30% respectively when both methods were used together.Novelty: By using a morphological analysis tool the performance of the system is improved from 80.67% to 91.3% F-measure when we compare it with the previous work even supposing there's still a requirement to conduct additional analysis to enhance the Afaan Oromo text summarization.
Analysis security system performance MIPv6 in signaling process using AES and Twofish algorithms

Mobile technology has become a necessity for modern society in the digital era. The ease of various information processes is a driving force for the growth of mobile users. To support continuous connectivity, Mobile IPv6 (MIPv6) is a solution and successor to the current Mobile IPv4 technology. Mobility in accessing a wide range of services is carried out via the Internet, but activities on the Internet make us vulnerable to various malicious acts. Issues such as information security as well as high overheads are a concern for mobile communications. An encryption mechanism is required throughout the signaling phase to construct security associations to enhance MIPv6 security performance. IPsec offers security services at the network layer. There are three encryption algorithms in IPsec, namely DES, 3DES, and AES. The DES algorithm is no longer recommended due to security factors, while AES is still not optimal in wireless networks. This study aims to analyze the performance of the MIPv6 security system and service quality with the AES and Twofish algorithms. Twofish algorithm is a candidate that has the potential for better performance. The experiment concluded that the performance of the Twofish algorithm is superior based on the security of cryptanalysis attacks with a cracking time that is twice as long as AES. In terms of service quality, Throughput Twofish has an increase of 20.05% with a small delay compared to AES, while packet loss is 0.023% for Twofish and 0.077% for AES. Teknologi seluler menjadi kebutuhan masyarakat modern di era digital, kemudahan berbagai proses pengelolaan informasi menjadi pendorong pertumbuhan pengguna seluler. Untuk mendukung konektivitas berlanjut, Mobile IPv6 (MIPv6) menjadi solusi sekaligus penerus teknologi Mobile IPv4 saat ini. Mobilitas akses layanan yang luas dilakukan melalui Internet, namun aktivitas di jaringan Internet membuat kita rentan terhadap berbagai tindakan jahat. Masalah seperti keamanan informasi serta overhead yang tinggi menjadi perhatian komunikasi seluler. Untuk meningkatkan performa keamanan MIPv6, diperlukan metode enkripsi saat proses pensinyalan yang akan membangun asosiasi keamanan. IPsec menawarkan layanan keamanan di lapisan jaringan. Terdapat 3 algoritma enkripsi dalam IPsec, yaitu DES, 3DES, dan AES. Algoritma DES sudah tidak direkomendasikan karena faktor keamanan, sementara AES masih belum optimal dalam jaringan nirkabel. Penelitian ini bertujuan untuk menganalisis performa sistem keamanan dan kualitas layanan MIPv6 dengan algoritma AES dan Twofish. Algoritma Twofish merupakan kandidat yang memiliki potensi performa yang lebih baik. Eksperimen berhasil menyimpulkan bahwa performa algoritma Twofish unggul berdasarkan keamanan serangan kriptoanalisis dengan waktu cracking dua kali lebih lama dibandingkan AES. Dari segi kualitas layanan, Throughput Twofish memiliki kenaikan 20,05% dengan delay yang kecil dibanding AES sementara packet loss masing-masing 0,023% pada Twofish dan 0,077% pada AES.
Bilingual Terminology Extraction Using Neural Word Embeddings on Comparable Corpora

Term and glossary management are vital steps of preparation of every language specialist, and they play a very important role at the stage of education of translation professionals.The growing trend of efficient time management and constant time constraints we may observe in every job sector increases the necessity of the automatic glossary compilation.Many well-performing bilingual AET systems are based on processing parallel data, however, such parallel corpora are not always available for a specific domain or a language pair.Domain-specific, bilingual access to information and its retrieval based on comparable corpora is a very promising area of research that requires a detailed analysis of both available data sources and the possible extraction techniques.This work focuses on domainspecific automatic terminology extraction from comparable corpora for the English -Russian language pair by utilizing neural word embeddings.
Managing The Publicity Capital Of Modern Educational Organizations In The Digital Age

The study considers the system of mass communication channels of the educational organization in the information and telecommunications network in general and social networks in particular and the urgent task of the university administration in this regard is to manage social and public communications initiated by the university and its affiliated structures.The authors attribute the information and communication support of the university's activities, its web presence to particular tasks of public relations, and the distributed nature of the management subject is considered the main characteristic of the management of the university's media communication.The authors believe that the urgent task is the task related to the field of communication management, namely, the consolidation of efforts of a distributed subject of management of university's media communication.Special types of capital -social capital and publicity capital -are considered in this study as an effect of systemic activity on management of university's media communication.Focused activity on the management of social and publicity capital of an educational organization in a new digital environment allows a systematic approach firstly, to the formation of corporate identity in the most important segments of the internal university communityamong students, teachers and employees, secondly, to the formation of loyalty to the university in key segments of the external public -among parents of students, school students and school teachers, representatives of business and government.The management of the university's publicity capital ensures the systematic development of its intangible assets -image, brand, publicity, positive public opinion and reputation.
Geographical Information System of Bus and Travel Counter in Padang City Using BFS Method Based on Mobile Web

Purpose: One of the main objectives of the research is the BFS (Breadth-First Search) algorithm method in the search for nearby bus and travel counters using GPS found on each device used in the search process. Each smartphone produces a different coordinate point with an average distance difference of 30.2 meters to the hardware coordinate point. Each GPS embedded in the smartphone will process the data according to the location conditions of the user's point of existence. The methodology for system development is a standard process for a team of developers to connect all the steps needed in analyzing, designing, implementing, and maintaining information systems. Methods: The methodology becomes a guideline in system development activities in SDLC. The SDLC model used in this study is the WaterFall Model. Result: The results of this study are expected to facilitate the public in booking tickets and to find the nearest location from the bus and travel counters. Novelty: The novelty of this research is the development of GIS as a search for the location of bus and travel counters using the breadth-first search algorithm. This research can help the community find the location of the nearest bus and tourist counter in the city of Padang.
The Impact of Audio-Visual Aids on Learning English among MSU Third-Year Students

This study investigates the efficacy of audio-visual technologies in assisting MSU third-year students in learning English vocabulary. The interplay of audio-visual aids in educational conversations has been researched from a variety of perspectives (Tuovinen, 2000). Multimedia is a multimodal experience in which information is communicated through text, graphics, pictures, audio, and video. It has been demonstrated that a combination of words and images always carries a substantial quantity of information (Mayer, 2018: 55). The use of multimedia in teaching and learning. The goal of this research is to determine the efficiency of audiovisual aids in the learning of English vocabulary among MSU third-year students. The use of multimedia in instruction and learning threatens the foundations of higher education. The current study investigates how third-year students at Malaysia's Management and Science University use multimedia in their English studies (MSU). To fulfill the study's aims, the researchers used both a qualitative and quantitative approach. An online poll of 200 students enrolled in the Bachelor of English as a second language program was used to construct the study corpus (BTESL). In addition, 150 MSU students from the same program were polled. The study's findings indicate that multimedia inspires BTESL students to learn English creatively and engagingly. It also aroused students' attention and compelled them to learn new terms. Multimedia, according to the study, is an excellent tool for third-year English students. It also helps students enhance their understanding of correct terminology and language.
Identification of Baikal phytoplankton inferred from computer vision methods and machine learning

Abstract. This study discusses the problem of phytoplankton classification using computer vision methods and convolutional neural networks. We created a system for automatic object recognition consisting of two parts: analysis and primary processing of phytoplankton images and development of the neural network based on the obtained information about the images. We developed software that can detect particular objects in images from a light microscope. We trained a convolutional neural network in transfer learning and determined optimal parameters of this neural network and the optimal size of using dataset. To increase accuracy for these groups of classes, we created three neural networks with the same structure. The obtained accuracy in the classification of Baikal phytoplankton by these neural networks was up to 80%.
Usability Enhancement of SMS Interface for Illiterate Users

This article analyzes several User Interface (UI) designs and puts forward some more general design principles for interfaces designed for low-literate users. The results of this study highlight the importance of text-free interfaces compared to text-based interfaces for the illiterate and low-literate population. The study developed a Short Message Service (SMS) interface consisting of many design elements, including graphical icons, voice, and text reduction. The participants were more satisfied with the designed SMS interface as compared to the traditional text-based interface of SMS. We believe that if the user interface is appropriately designed, users will not need formal literacy, computer skills, or any external help to operate the application. It has been shown that an interface with minimal or no text but one or more graphics, audio, and digital components is helpful for users with low literacy rates.
Does Self-Management Affect Students' Digital Literacy? Evidence from a Campus in Riau Province

This study aims to analyze the influence of self management consisting of self motivation, self organizing and self control on students' digital literacy. This research is a quantitative study of multiple correlation regression type, the subject of this research is STIE Indragiri students, totaling 234 people. The research instrument developed in this study was a closed questionnaire. The data analysis technique used regression analysis multiple linear with the help of SPSS 24. The results showed that self-management had a effect on students' digital literacy. The details for each component of self-management show that: Self motivation ability has a significant effect on students' digital literacy. Self-organizingl ability has no significant effect on students' digital literacy. Self-control ability has a significant effect on students' digital literacy. Among the three independent variables that have the most influence on students' digital literacy is the ability to self-motivation. Self-motivation has an important role in encouraging humans to act, determining the direction of action and selecting actions to determine what actions are chosen to achieve goals, these various abilities are in accordance with the abilities that must be met to improve digital literacy skills.
Teacher’s Technology Integration ELT Based on SAMR Model in Writing Skill

This study is aimed to know the technology categories integrated by the teacher and classify the teacher’s technology integration level. Descriptive qualitative is used to describe the result of this study. The data is collected through interview and observation at SMA N 1 SENTOLO. It is focused on the teaching of writing. the subject of this research were 2 teacher. The data were transformed into descriptive text and interviewed transcripts. The data analysis used reduction data, the data display, and conclusion drawing or verification. The data validation used triangulation of technique of collecting data and triangulation of source of data.The source of data taken from interview . Based on the result of finding and discussion, it is found that the teacher integrated more than four technology categories which are word processing, spreadsheet software, organizing and brainstorm, multimedia, and web resources. The teacher integrated those technologies in teaching listening, reading and writing skill. While the activities is analysed based on SAMR model to know the teacher’s technology integration .The result shows that the teacher is on the augmentation level in teaching writing skill, which the teacher uses word processing with additional functions like spell check, cut, and paste the documents. Therefore, the teacher is classified on passing the substitution level, because the teacher is on the augmentation level, which integrates technology as a direct tool substitute, with functional improvement.
Need Analysis Of “Si Eco” Ethno-Confidence Game for Slow Learner Students

ABK students are students who have different characteristics from students in general. One of the ABK is a slow learner. Slow learner students have a tendency to not be confident. Therefore, it is necessary to develop the “SI ECO” game to help slow learner students overcome the crisis of confidence. The purpose of this study to analyze the need for developing media of ethno-confidence “SI ECO” game for slow learner students. This research method is descriptive quantitative method. The subjects of this study were 2 teachers and 26 students. The data in this study are in the form of questionnaires and interviews with teachers and students. Data collection techniques using interviews, questionnaires and document studies. Data analysis was carried out descriptively by percentage. The results of the questionnaire of slow learner students have confidence in the criteria of lack of confidence. The results of the student needs questionnaire showed that there was a need for slow learner students for learning media in the form of games with ethno content that could foster self-confidence. The results of interviews with teachers show that the availability of learning media that incorporates cultural elements is still very limited so that the development of learning media in the form of the ethno-confidence game "Si Eco" is needed for slow learner students. Based on the results of the study, it can be concluded that it is necessary to develop the "SI ECO" ethno-confidence game for slow learner students.
Innovation Management in Educational Technology

The aim is to explore the entry point for this topic to base itself on the identity of the Internet of Things machine-assisted by the first-level node and the second-level node.The method is China Internet of Things names management public service platform Smart System Studied Application Promotion Center connects them in the way of digitization, networking, informationization, knowledge and intelligence, and achieves a significant improvement in the social system engineering for teaching, management, learning and using.Its characteristic lies in the purpose of quality.The result is China Internet of Things names analysis example for more than 7,000 courses in Peking University is not only a demonstration model of a unified names analysis system for basic carrier objects, but also corresponding classrooms.Its significance lies in the further improvement and optimization of the five of digitization, networking, informationization, knowledge and intelligence that the advantages of human-machine collaborative smart system are easier to form.
Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering

Poverty is a condition that is below the line of minimum requirement standard values, both for food and non-food. The Government of Indonesia has various programs to overcome poverty-based assistance social, including the family hope program. This family hope program is the provision of conditional cash assistance to very poor households in which there are pregnant women, toddlers, elementary, junior high, high school, elderly, and severe disabilities. The amount of assistance obtained based on the level of family poverty with poverty level parameters is seen from the many categories of very poor households concerned along with the obligation of participants to carry out important commitments in the field of Health and Education. The purpose of this research is the development of a mobile-based poor family monitoring application using the k-means clustering method. Validity test results using sample data 21, it can be concluded that the system can group poor families into 7 clusters with a thoroughness rate of 90.4%. Based on these results, K-Means Clustering can be said to have a high accuracy value for clustering poor families.
Analisa Performa K-Means dan DBSCAN dalam Clustering Minat Penggunaan Transportasi Umum

Public transportation is one of the important modes of transportation and is the backbone of transportation in Indonesia. The development of public transportation is also supported by the government, this government support is evident in the national policy, namely the National Medium Term Development Plan (RPJMN). Although public transportation is an effective mode of transportation, it also has obstacles in its development, namely how to meet customer desires in choosing a mode of transportation. There are several variables that are the focus of this research, namely age, gender, income, cost, speed, comfort, safety, efficiency and flexibility. The search for influential variables will use the K-Means and DBSCAN clustering algorithms, these two algorithms are also compared to their performance to find a better algorithm. The results of the Silhouette Coefficient show that DBSCAN has a better performance with a value of 0.99 than K-Means with a value of 0.86. The variables that affect the interest in using public transportation are the most important ones related to cost, speed, comfort, safety, efficiency and flexibility.&#x0D;
Impact of Quality Management on Business Performance of Manufacturing Firms: The Moderated Effect of Industry 4.0

Purpose: The research aims to investigate the individual quality management (QM) factors impact on business performance in manufacturing firms. We then assess their influence and look at how industry 4.0 affects business performance directly. Furthermore, the study will demonstrate the moderate effect of industry 4.0 on the interaction between QM and business performance. Methodology/Approach: The authors used two methodologies. The first is qualitative methods, by interviewing experts to develop a realistically appropriate model. The second is quantitative methods, by carrying out the survey and getting 84 observations. This research used the multivariate data analysis technique PLS-SEM to evaluate three measurement models: formative measurement model, reflective measurement model, and structural model. Findings: The QM was operationalised as a multi–dimensional construct. According to the findings, these individual QM factors significantly affect the organisation’s performance, including customer satisfaction, employee satisfaction and quality performance. Besides, QM and Industry 4.0 have directly impact on performance. The study also shows that industry 4.0 has a positive moderating role in the relationship between QM and business performance. Research Limitation/Implication: The survey was only done in emerging countries and the sample size is limited. There are other QM and business performance measurement parameters that have not yet to be discussed. Originality/Value of paper: The study contributes to the QM literature by building a business quality model, in which the role of Industry 4.0 was explored.