Reviewerly/exHarmony huggingface dataset:
Meta-Learning Representations for Continual Learning

The reviews had two major concerns: lack of a benchmarking on a complex dataset, and unclear writing. To address these two major issues we: 1- Rewrote experiments section with improved terminology to make the paper more clear. Previously we were using the term Pretraining to refer to both a baseline and the meta-training stage. As the reviewers pointed out, this was confusing. We have replaced one of the usages with 'meta-training.' We have also changed evaluation to meta-testing. 2- Added mini-imagenet experiments to show that the proposed method scales to more complex datasets. Moreover, it wasn't clear if the objective we introduced improved over a maml like objective that also learned representations. We added MAML-Rep as a baseline that shows that our method -- which minimizes interference in addition to maximizing fast adaptation -- performs noticeably better. We also added the pseudo-code of the algorithms to the main paper as requested by reviewers. Moreover, we contrast our algorithm with MAML to highlight the difference between the two. We believe that this makes the current version significantly more clear to anyone who already understands the MAML objective. We have fixed various minor issues in writing and included some missing related work. (bengio2019meta, nagabandi19, al2017continuous) that we have discovered since our initial submission. Finally, we thank the reviewers and the meta-reviewer for the feedback, which allowed us to improve the work in several aspects.
ANALISIS SEMIOTIK DALAM LAGU BANDA NEIRA YANG BERJUDUL â€œYANG PATAH TUMBUH, YANG HILANG BERGANTIâ€

This research is based on the many songs that are difficult to understand its meaning. A song is a series of tones combined with harmonious rhythms and complemented by poems that form a beautiful harmonisation. The song conveys its messages through lyrics that tell about a journey or or a picture of one's life therefore the song is often used as a medium to express feelings towards others. The purpose of this study was to analyze the meaning of Banda Neira's song "The Broken Growing, the Lost Changed" using a semiotic approach. The method used in this paper is qualitative descriptive that exposes writing based on the content of literary works, while the writing technique is a library study. The results showed that the lyrics of the song popularized by Banda Neira are a motivational message for someone who falls in a complicated situation because whatever happens time will go on and everything will pass. This song is very inspiring and suitable for listeners to stay uplifted despite the difficult circumstance.
Pengaruh Media Dakota terhadap Hasil Belajar FPB dan KPK Pada Siswa Kelas IV SDN Dukuh Menanggal I/424 Surabaya

The written research was motivated by low student learning outcomes in FPB and KPK material. The purpose of this written research is to determine the effect of using Dakota media in improving FPB and KPK learning outcomes for class IV students at SDN Dukuh Menangal I/24 Surabaya. This type of written research uses experimental procedures and quantitative research strategies. The design of this research is a posttest-only control design. The population in this study was all fourth grade students at SDN Dukuh Menanggal 1/424 Surabaya. The samples used were class IV B students as the control class, totaling 25 students and class IV C students as the experimental class, totaling 24 students. Utilizing tests is a method of collecting data for written learning. Statistical tests include homogeneity, normality, and t test in testing hypotheses as a data analysis method. Based on the research results and discussion, the conclusion is that there is an influence of Dakota media on FPB and KPK learning outcomes for class IV students at SDN Dukuh Menanggal 1/424 Surabaya. The results of this research can be used as a consideration for implementing Dakota media in elementary schools.
Pentingnya Penggunaan Teknologi Informasi dan Komunikasi dalam Menunjang Pembelajaran Sekolah Dasar

Information and Communication Technology (ICT) plays a crucial role in the current educational context, and it must be introduced by teachers to their students. Teachers in this 4.0 era of Education need to adapt to this rapidly. The use of ICT in teaching helps explain challenging and abstract materials in a more tangible and contextual way. Additionally, it aims to overcome communication barriers between educators and learners. The objective of this research is to explore a deep understanding of the importance of ICT in the context of elementary school education. The research method used is a literature review based on the analysis and synthesis of information sources available in the literature or references that are relevant to this research topic. The research results explain that use of ICT as a learning tool in elementary schools has a positive impact on students' learning achievements and can stimulate their interest in learning. The use of ICT also enables more flexible and effective learning in improving the quality of education. However, there are challenges, including the lack of infrastructure and teacher readiness. Nevertheless, the use of ICT at the elementary school level holds great potential for enhancing the quality of education. Therefore, efforts are needed to improve access to the use of ICT in education.
Pengembangan Media Pembelajaran Matematika Berbasis Android pada Materi Matriks

The use of media in learning can help educators' limitations in conveying information and limited teaching hours in class. One of the ICT-assisted learning media that can be used is learning media that is operated on smartphone devices with the Android operating system. The aim of this research is to determine the validity and practicality of Android-based mathematics learning media on matrix material. The model used follows the ADDIE development model (analysis, design, development, implementation evaluation). The data collection technique used is a non-test technique with data collection instruments, namely validation sheets and practicality sheets. The research results show that Android-based mathematics learning media on matrix material is valid and reliable. The results of the student questionnaire assessment show that this application is not only effective in supporting online and offline learning, but is also able to increase students' interest in learning and deepen their understanding of mathematical concepts. The success of this application creates opportunities to increase learning efficiency, provide relevant learning solutions in the digital era, and motivate students to learn independently.
THE ROLE OF THE TRAINING NEEDS ANALYSIS IN THE TRAINING PROCESS AND ITS RELATIONSHIP WIH THE PERFORMANCE OF THE EMPLOYEES

Abstract: In today’s world of changes the organizations and employees are getting used to the post-covid workenvironment. They have to adapt to working from home and moving to the entirely online way of work or need togo back to the office and tackle with the changed work life that includes restrictions and new regulations. Theperformance of the employees becomes even more important than before and many of the bottlenecks within theorganizations are caused by lack of knowledge and skills and not the right attitude and behavior of the people.Companies do not have the resources to meet all their training needs and the analysis of these needs has becomevery important. The main objective of the study is to assess the importance of the training needs analysis (TNA) forthe entire training process and for the work of the employees. It also provides a comparison between the manager’sand the employee’s points of view in terms of the analysis of the training needs and the assessment of the trainingresults. TNA is the initial step of the training process in the organization. It is essential for the overall training andeducational strategy and has impact both on the company and on the individual. Training needs analysis is the datacollection behind the decision that the organization makes whether to perform a training and will it improve theperformance of the employees, will it be beneficial for the business, on one hand, and who should attend thistraining, on the other hand. The assessment of the training needs is a fundamental process to a useful and successfultraining program. This process for gathering data for the training needs in the company determines the gap in termsof skills and knowledge in the employees to perform current and future work in the best way and helps theorganization accomplish its objectives by ordering or developing the needed training program. The article includesdifferent definitions for TNA and gives the main characteristics of the process. It also describes the importance ofthe analysis for the preparation of the training program. For the purposes of the study, two surveys were conducted –one among manager and one among employees. They check the attitudes towards the TNA process and theevaluation of training which shows whether goals are actually reached. Training needs analysis is connected to theevaluation process, which the last step in the training process. According to the survey, most companies do notperform deep analysis of the training needs and evaluate the course results only on the first step of Kirkpatrick’straining evaluation model which is the reaction after the training. The results show that there is a positiverelationship between the design of the training program, the application of the content of the training and thebehavior of the employees in their work environment after the training. Since the training program is designed basedon the assessment of the training needs, the latter is of great importance for the skills, behavior and knowledge of theemployees after the course.
Style Transfer as a Way to Improve the Generalization Ability of a Neural Network in an Object Detection Task

This paper proposes the implementation of a neural network training approach for object detection, using augmentation - style transfer. This method improves the generalization ability of the neural network to determine the location of objects in the image by improving the interaction with low-level features such as textures, different colors and small changes in shapes. The effectiveness of the method is experimentally proved and the numerical values of the object detection metrics are demonstrated on several datasets with different classes. The application of augmentation is proposed using an unused before neural network architecture capable of carrying an arbitrary number of styles. The peculiarity of the approach is also that the weights of the neural network for styling are frozen and it is added to the graph of the detection network, which allows augmentation speed.
Static Analysis Based on the Unified Abstract Syntax Tree

The paper describes a unified representation for an abstract syntax tree (AST) suitable for static analysis of several programming languages. The proposed analysis scheme consists of saving an intermediate representation in the form of a unified AST from compilers of the corresponding languages and subsequent analysis of the saved trees. We have implemented this described representation for Java, Kotlin and Python. The unified AST analyzer has 27 checkers. In the paper we present structure and entities of our unified AST, provide more details regarding language specifics that have to be reflected in the UAST representation. We give extensive experimental results that show UAST generation and analysis speed, analysis quality, and comparison with the old scheme of analyzing compiler ASTs where applicable. As a result, we see that we observe some degradation of analysis speed, but we pay it for the separation of AST construction and checkers’ implementation. This separation allows easier support of many languages in the analyzer, where one can just generate UAST and support the required checker once within the UAST infrastructure instead of implementing a checker once per language.
Menganalisis Pengucapan Bahasa Indonesia dan Bahasa Papua

This research is a case study research. The sampling technique is purposive sampling. Data sources used are events, informants, and documents. Data collection techniques are carried out by direct observation, interviews, and documents. The test of data validity used is source triangulation and method triangulation. The data analysis technique used is flow model data analysis. The results of this study are descriptions of: (1) the characteristics of Papuan accent Indonesian are distinguished based on linguistic and nonlinguistic elements. Linguistic elements include; (a) phoneme replacement; (b) diphthong replacement; (c) phoneme completion; (d) the use of intonation. Nonlinguistic elements are speech events and paralinguistics; (2) factors that influence the emergence of Papuan characteristics Indonesian accents, namely; (a) administrative units; (b) a special sense of community identity; (c) reside in the same geographical area; (d) historical experience; (3) Indonesian Papuan accent has relevance as teaching material for sociolinguistic courses in the Indonesian Education Study Program.
Penerapan Model Mastery Learning Dalam Pembelajaran Menulis Teks Iklan Poster Dan Slogan Pada Kelas VIII SMPN 17 Semarang

This research ais to descrribe implementation of the Masteryy Learning Mode in teaching writing of advertisements, posters, and slogans in the eighth-grade class at SMPN 17 Semarang. The research method employs a qualitative descriptive approach, focusing on variables such as mastery learning, advertisements, slogans, and posters. The sample consists of one Indonesian language teacher and 30 eighth-grade students selected through purposive sampling. Data collection involves observation, Student Worksheets (LKPD), interviews, and documentation. The results indicate the effectiveness of the model's implementation, characterized by structured steps, a crucial role for the teacher, and active student involvement. Formative evaluation also aids in students' understanding and prepares them for higher levels.
Ujaran Kebencian Terhadap Capres-Cawapres Prabowo-Gibran Pada Kolom Komentar Media Sosial Instagram Prabowo

This research aims to describe and analyze forms of hate speech on one of the social media, Prabowo's Instagram account. This research method uses a qualitative descriptive approach. The data analysis method used is the orthographic matching technique with a writing recorder as the determining tool. The results obtained from this research were that there were several negative comments in the form of hate speech towards the presidential and vice presidential candidate pair Prabowo-Gibran.
Pemerolehan Fonologi Dalam Perkembangan Bahasa Anak Usia 3,5 Tahun

Phonological acquisition is a critical aspect of a child's language development. This process involves the formation of a complex sound system of language through the interaction between genetic and environmental factors. This article examines how the process of phonological acquisition in the language of children aged 3.5 years. Children who were the object of this study had a fairly good level of language acquisition. But in terms of phonology, there are still many errors in pronunciation. The background of this study examines the importance of understanding the phonological acquisition process in a critical stage of children's language development. The study aims to identify the main factors that influence phonological acquisition in this age range. The method used in this study is a descriptive qualitative method, which explains the acquisition of language in children in terms of phonology. Data collection techniques involve listening, interacting and speaking. The object of this study was a girl named Grace Angel Agata, who in interacting have been able to pronounce various forms of simple words and sentences. The results showed that the children were able to pronounce vowel elements (a, i, u, e, o), while consonant elements were still found to have some pronunciation errors. The study's findings underscore the role of social environment, interaction with others, and genetic predisposition in shaping a child's phonological development.
Facing Students / I Pk-AUD In English Learning For Early Children

Having English language skills is something that many people are very grateful for. including pre-school students who consider themselves to be learning English skills. Many students experience difficulties because their graduate backgrounds are not only from high school, but some are from vocational school. The researcher observed and saw what difficulties pre-school students had in learning English for early childhood. The aim of this research is so that students can develop good strategies in learning English for early childhood.&#x0D;
Enhancing and Securing Telemedicine Services in Disaster Recovery Operations with Sustainable Communication Infrastructure and Blockchain Technology

This paper investigates a multifaceted approach to fortifying telemedicine services within a self-powered Disaster Recovery Network (DRN) infrastructure. It introduces an array of innovative methodologies and algorithms tailored to address the logistical complexities of constructing an environmentally friendly DRN infrastructure. Additionally, it delves into the fundamental factors influencing the system's behavior, defines key performance indicators, and outlines performance measurement techniques. The study emphasizes the critical need for seamless integration of diverse reliability methods by introducing a novel blockchain-based DRN clustering algorithm, coupled with an intelligently managed solar energy system. Specifically, it presents the "Duty Cycle Estimation (DCE) – Event Driven Duty Cycling (EDDC)" technique using the Ubicom IP 2022 platform. Moreover, it proposes an experimental platform for comprehensive evaluation, assessing network performance, practicality, power efficiency, and resilience under various failure scenarios. This comprehensive assessment serves to advance the field and pave the way for robust and reliable telemedicine services in the face of disaster.
Adaptive Video Streaming: Navigating Challenges, Embracing Personalization, and Charting Future Frontiers

This review paper explores the paradigm of personalized adaptive streaming, where machine learning techniques are employed to tailor video streaming experiences based on individual user behavior, preferences, and contextual factors. The paper begins by elucidating the evolution of video streaming and the critical role of adaptive streaming in modern multimedia consumption. It provides a comprehensive overview of adaptive video streaming, covering its basics, traditional approaches, and associated challenges. Emphasizing the significance of personalization in enhancing user experience, the paper then delves into the integration of machine learning in adaptive streaming systems. Specific personalized adaptive streaming techniques, including user profiling, context-aware adaptation, and real-time adjustments based on user behavior, are discussed in detail. Case studies and applications showcase notable platforms, successes, and challenges. A comparative analysis of machine learning models and algorithms is conducted, followed by a discussion on current challenges, ethical considerations and future research directions. The paper concludes by summarizing key findings and urging researchers and industry practitioners to contribute to the evolving landscape of personalized adaptive streaming.
User-Centric Algorithms: Sculpting the Future of Adaptive Video Streaming

This paper explores the transformative potential of user-centric algorithms in shaping the future landscape of adaptive video streaming. Traditional streaming methods, though effective, often lack the ability to dynamically adapt to individual user preferences. We argue for a paradigm shift towards user-centricity, where algorithms are designed to consider user behavior, preferences, and feedback to optimize content delivery. By examining the impact of personalized streaming experiences on viewer satisfaction and engagement, we present a compelling case for the integration of machine learning and artificial intelligence in adaptive video streaming. Through real-world examples and case studies, we showcase the efficacy of user-centric algorithms in sculpting a more tailored and immersive streaming environment. This paper provides insights into the challenges, considerations, and future trends surrounding user-centric adaptive video streaming, highlighting its potential to redefine the viewer experience and set new standards for digital content delivery.
Fun English Activities Untuk Meningkatkan Keterampilan Berbahasa Inggris Bagi Kelompok Pelayanan Anak dan Remaja

As an effort to increase enthusiasm and English learning in non-formal institutions, the Sunday School teachers embrace new methods containing organizing Community Service programs in collaboration with the universities. It is hoped that the method applied will increase children's motivation to join the learning process in a creative and fun way. Several things that are considered priority problems that must be resolved include: (1) Implementing Fun English Activities, (2) Increasing English vocabulary, (3) Pronunciation of English vocabulary and (4) Increasing enthusiasm and motivation for learning English. The solution offered is in the form of creative and fun English learning through games and songs as well as learning media with a Biblical theme. The activities were divided into two groups, first to fourth graders, and the fifth to sixth graders. The first group learned colors in various ways, vocabulary, and pronunciation in English. Meanwhile, the other group learned the Lord’s prayers and important vocabularies related to salvation. Both activities are equipped with interesting learning media. As the implementation, evaluation was conducted in the form of a quiz.
CNN Based Wildlife Intrusion Detection and Alert System

Wildlife intrusion detection and alert systems are designed to detect and alert wildlife intrusion events, such as animals crossing highways, entering farms or protected areas, and approaching human settlements. This system often uses advanced technologies, such as cameras, sensors, and machine learning algorithms, to detect and identify animal species and behaviors. Convolutional neural networks (CNNs) are a type of deep learning algorithm commonly used for image and video analysis tasks, including object detection and classification. CNNs can learn to extract features from images and videos automatically and accurately, making them well-suited for detecting animals in wildlife intrusion detection systems.
Perancangan Maskot Lembah Kecubung Untuk Meningkatkan Awareness Publik

Desa Penanggungan, Kecamatan Trawas, Kabupaten Mojokerto, Provinsi Jawa Timur is a village that has great potential to become a tourist destination because of its beautiful natural scenery. For this reason, the village government and local residents built the Wisata Agro Lembah Kecubung which is still in the development stage. Therefore, as a tourist attraction that has just started and is not yet known to many people, supporting tools are needed to attract public attention to the existence of the Lembah Kecubung, one of which is by using character or mascot designs. This mascot design method begins with data collection through surveys and interviews. Then it continues with the creative process which refers to Brown's design thought theory, including the emphatize, define, ideate, prototype and test stages. The result of this design is an alternative mascot design inspired by the shape of the Javanese Serak owl which is designed using farmer attributes, such as hats, towels and rice scythes.