Reviewerly/exHarmony huggingface dataset:
Scrum: A Systematic Literature Review

This study presents a Systematic Literature Review on an agile project management tool.The study offers a brief comparison between traditional and agile project management methodologies.Their respective concepts and characteristics are laid out to highlight and explain their main differences.The agile methods include quantitative and qualitative data, showing Scrum framework characteristics.This study highlights the importance of project management in function of its emergence as a response to problems encountered during improperly conducted projects.Furthermore, this study provides relevant information for professionals in the Industrial Engineering area and computer science.The results allowed us to conclude that Scrum is an agile framework for empirical-based project development; it was developed in the 1990s by Jeff Sutherland.It is a flexible and adaptable methodology.Scrum research peaked in 2020, and continues to be studied, mainly in the field of computer science.Finally, Brazil is well-positioned in third place for works published.
IMPLEMENTASI STANDAR PENGELOLAAN PENELITIAN: STUDI KASUS DI IAIN PALANGKA RAYA

This study aims to describe and analyze the implementation of research management standards which include planning, organizing, implementing, and controlling. The research approach used is descriptive qualitative with the case study method. The research subjects were Vice Rector 1, the Chair and Secretary of LPPM, the Head of the Research Center, and the Head of Planning and Finance of IAIN Palangka Raya. The determination of research subjects was carried out by purposive sampling with data collection techniques through observation, interviews, and documentation. The results of the research show that research management planning activities begin with the preparation of development master plans, strategic plans, and operational plans, preparation of research roadmaps, annual work programs, preparation of Terms of Reference and research budget plans, and the preparation of Research Guidelines. In implementing research management standards, there are 12 stages carried out, including dissemination of technical instructions, research registration, administrative selection, substance selection, determination of nominees, proposal seminars, determination of beneficiaries, preparation of work orders, disbursement of funds, conducting research, monitoring evaluation, review of research outputs, results seminars, and final reports. Efforts to control research activities are carried out with several strategies: making regulations and technical guidelines for research, managing registration and selection of proposals as well as meetings for determining nominees, preparing work orders, managing intermediate seminars, managing presentations of research results, making research logbooks, registering IPR research results, publishing articles research, seeking SPI involvement in research management activities, uploading research reports to Litapdimas, imposing sanctions, preparing research management reports, monitoring and evaluating research management.
PENGEMBANGAN MEDIA PEMBELAJARAN IPA BERBASIS POWTOON PADA POKOK BAHASAN KLASIFIKASI MATERI DAN PERUBAHANNYA DI TINGKAT SMP

The development of Powtoon-based learning media on the subject of Classification of Materials and Its Changes at the junior high school level was carried out based on the problems that researchers found at SMP Negeri 1 Gending, Probolinggo, East Java, namely the decrease in students' enthusiasm for learning during COVID-19 outbreak, the lack of learning media that can be utilized, and the amount of material that must be mastered. This paper aims to describe the validity and students' responsesto the Powtoon based learning media on the subject of Classification of Materials and Its Changes at the junior high school level. The type of research carried out is research and development with a 4-D model (define, design, development and dissemination) where the dissemination stage is not implemented. The products that were successfully developed were 3 learning videos uploaded and distributed through Youtube.com. The results of the assessments of media experts, material experts, and product user teachers are included in the very valid category. The recapitulation of student responses gave positive results. Descriptions of student responses are mapped in the form of a Word Cloud with the words “interesting”, “excited”, “learning”, “understand” are words often mentioned. Students argue that this media has advantages from the animation aspect so that it grows attractiveness and motivation in learning.
A Cloud Native Framework for Real-time Pricing in e-Commerce

Real-time pricing is a form of 'dynamic pricing,' and it enables online sellers to adjust prices in real-time in response to variations in demand and competition to achieve higher revenue or improve customer satisfaction.As modern ecommerce implementations become more cloud-based, this paper proposes a cloud-native framework for a real-time pricing system.We take a requirement driven approach to come up with a modular architecture and a set of reusable components for real-time pricing.Following DSRM methodology, during the design phase, we identify and develop the theoretical foundations for key parts of the system, such as pricing models, competition and demand watchers, and other analytics components that fulfill the functional requirements of the system.At the stage of implementation, we describe how each of these components and the entire cloud application will be configured using an AWS cloud native implementation.As a framework, this work can support a variety of pricing models, demonstrating that multiple pricing models have been discussed.Other low-latency, reusable components described in this work provide the ability to react quickly to changes in demand and competition.We also provide a price-cache that decouples pricing model calculation from enduser price requests and keeps price query latency to a minimum.For a real-time system, where latency stands to be the most desired NFR, we validate the system for price-request latency (found to be a single digit of milliseconds) and market reaction latency (less than a second).Overall, our proposed framework provides a comprehensive solution for real-time pricing, which can be adapted to different business needs and can help online sellers optimize their pricing strategies.
Context Aware Automatic Subjective and Objective Question Generation using Fast Text to Text Transfer Learning

Online learning has gained a tremendous popularity in the last decade due to the facility to learn anytime, anything, anywhere from the ocean of web resources available.Especially the lockdown all over the world due to the Covid-19 pandemic has brought an enormous attention towards the online learning for value addition and skills development not only for the school/college students, but also to the working professionals.This massive growth in online learning has made the task of assessment very tedious and demands training, experience and resources.Automatic Question generation (AQG) techniques have been introduced to resolve this problem by deriving a question bank from the text documents.However, the performance of conventional AQG techniques is subject to the availability of large labelled training dataset.The requirement of deep linguistic knowledge for the generation of heuristic and hand-crafted rules to transform declarative sentence into interrogative sentence makes the problem further complicated.This paper presents a transfer learning-based text to text transformation model to generate the subjective and objective questions automatically from the text document.The proposed AQG model utilizes the Text-to-Text-Transfer-Transformer (T5) which reframes natural language processing tasks into a unified text-to-text-format and augments it with word sense disambiguation (WSD), ConceptNet and domain adaptation framework to improve the meaningfulness of the questions.Fast T5 library with beam-search decoding algorithm has been used here to reduce the model size and increase the speed of the model through quantization of the whole model by Open Neural Network Exchange (ONNX) framework.The keywords extraction in the proposed framework is performed using the Multipartite graphs to enhance the context awareness.The qualitative and quantitative performance of the proposed AQG model is evaluated through a comprehensive experimental analysis over the publicly available Squad dataset.
THE INFLUENCE OF AUDIO VISUAL AIDS AND LEARNING MOTIVATION TOWARDS TENTH GRADE STUDENTSâ€™ SPEAKING ABILITY AT MAN 1 MUSI BANYUASIN SEKAYU

The objectives of this research were to find out the influence of audio visual aids toward tenth grade studentsâ€™ speaking ability, the influence of traditional teaching toward tenth grade studentsâ€™ speaking ability, the influence of audio visual aid and learning motivation toward tenth grade studentsâ€™ speaking ability and the interaction effect of audio visual aid and learning motivation toward the studentsâ€™ speaking ability. In this research, the researcher used Quantitative researh and was conducted utilizing a Factorial design. The population of this researchwas tenth grade students of MAN 1 Musi Banyuasin Sekayu through two stages random sampling. Techniques of collecting data used questionnaireand test. For technique of data analysis used SPSS 16. The result in this research indicated that Audio Visual aids through traditional teaching was developing as an alternative media to help X grade students to learn speaking ability. In other words, the total of all RQ, The null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted.
THE INFLUENCE OF REINFORCEMENT AND MOTIVATION ON STUDENTSâ€™ READING ABILITY

The objective of this study is to determine the influence of teachersâ€™ classroom reinforcement on the students reading ability, determine the influence of motivation on the studentsâ€™ reading ability and to determine the influence of teachersâ€™ classroom reinforcement and motivation simultaneously on the studentsâ€™ reading ability. This study was conducted on SMAN 16 OKI. The sample consisted of 30 students who were divided into two classes, each classes consisted 15 students. Samples were taken by random sampling technique. The method used in this study is Expose Facto with simple regression and multiple regression. the result ofÂ the influence coefficient between teachersâ€™ classroom reinforcement and studentsâ€™ reading ability showed that level of significant was 0.041 &lt; 0.05. Consequently,itis a significant influence of teachersâ€™ classroom reinforcement on the elevenths grade students reading ability.Â The result of the influence coefficient between studentâ€™s motivation and studentsâ€™ reading ability showed that level of significant was 0.036&lt; 0.05. Consequently there is a significant influence of teachersâ€™ classroom motivation on the elevenths grade studentsâ€™ reading ability. The result ofÂ the influence coefficient between teachersâ€™ classroom reinforcement and motivation on the studentsâ€™ reading ability showed that level of significant was 0.046 &lt; 0.05. Consequently, there are significant influences of teachersâ€™ classroom reinforcement and motivation on the elevenths grade students reading ability.
STUDENTSâ€™ PERCEPTION ON THE USE OF JOHNY GRAMMARâ€™S WORD CHALLENGE APPLICATION IN LEARNING PREPOSITIONS

The main problem of this study isÂ â€œWhat were the eleventh grade studentsâ€™ perception on the use Johnny grammarâ€™s word challenge application in learning prepositions and the impact of Johnny grammarâ€™s word challenge application the eleventh grade at PGRI Vocational High School 2 of Palembang?â€. This study aimed to investigate the eleventh grade studentsâ€™ perception on the use Johnny grammarâ€™s word challenge application in learning prepositions at PGRI Vocational High School 2 of Palembang. This data acquired from questionnaires based on four indicators, this research used a descriptive qualitative method in this study. Based on the achievement of the questionnaire, it can be concluded that all indicator high category shows that amounts to 9 (16.36%) students which means the students have comprehension ability is fair, the indicator medium category shows that amounts to 41(74.54%) students which means all of the students understand Johnny Grammarâ€™s Word Challenge Application and the low category shows that amounts to 11 (20%) students which means the students half of them can not able to understand Johnny Grammarâ€™s Word Challenge Application. So, it can be concluded that using Johnny Grammarâ€™s Word Challenge Application can help students learn prepositions
VLOG MATEMATIKA MATERI HIMPUNAN UNTUK MENINGKATKAN MINAT BELAJAR SISWA SMP KELAS VII

This study aims to produce valid and practical math vlogs for set material to increase the learning interest of seventh-grade junior high school students. The development method used is the 4D model, which consists of 4 stages: define, design, develop, and disseminate. Material experts and media experts measured the validity of the vlogs, while practicality was obtained from practicality questionnaires from teachers and students. The increase in students' interest in learning was measured by an interest in learning questionnaire given before and after watching the developed mathematics vlog. The research results show that the developed math vlog meets valid, practical and effective criteria to increase students' interest in learning.
Meningkatkan Perkembangan Bahasa Anak Melalui Metode Bercerita Dengan Media Audio Visual Di Kelas A RA Nurul Ilmi Samboja

The aim of the research was to find out how to improve language development by storytelling using audio-visual media and the use of audio-visual media to improve language development through storytelling in Class A Nurul Ilmi, Samboja District. This type of research is class action which is carried out in two cycles, each cycle is carried out with the stages of planning, action, observation and reflection. The results of the study: aspects of receiving language before being given action 54%. Then in the first cycle there was an increase of about 77%, in the second cycle there was an increase of 85%. In the final stage: children can understand simple commands by 92%, can repeat more complex sentences by 100%, can mention some adjectives by 92%, can answer more complex questions by 92%, can tell causal events by 77 %, can name objects around 92%, can say letter symbols by 77%, knows initial syllables by 85%, can read own name by 85%, can connect pictures of objects with words by 100%, knows symbols can write letters by 92%, understanding between sounds and shapes by 85%, being able to write own name by 92%, being able to draw freely by 100%.
Impact of Data Augmentation Techniques on the Implementation of a Combination Model of Convolutional Neural Network (CNN) and Multilayer Perceptron (MLP) for the Detection of Diseases in Rice Plants

Detection of disease in rice plants is important to avoid damage and reduce yields. In this study, the influence of data augmentation techniques on the application of a combination model of Convolutional Neural Network (CNN) and Multilayer Perceptron (MLP) was carried out to detect diseases in rice plants. This study uses a dataset of rice images for disease detection which contains 6034 images of rice with five categories, namely Bacterial Leaf Bligh, Blast, Brown Spot, normal, and tungro. This dataset is divided into three parts, namely training data, validation data and test data. The data augmentation techniques used are rotation, brightness and zoom on rice images. The combination model of CNN and MLP is built using the Python programming language and the TensorFlow deep learning framework. In measuring the success rate of the built model, it can be measured using the accuracy, precision and recall values obtained in the model test. Several scenarios were carried out to produce the best model, namely the use of data augmentation techniques, the number of layers and the number of iterations (epochs). From the experiments that have been carried out which have been tested with data as many as 25 digital images, the best model is obtained with an testing accuracy of 92%, 94% precision and 92% recall. This model applies a random zoom augmentation technique with a value of 0.5 – 1.0, CNN+MLP with 3 layers and a dataset ratio of 80:20 and an epoch early stop, This result has increased by more than 10%.
[Multiresolution discrete optimization registration method of ultrasound and magnetic resonance images based on key points].

The registration of preoperative magnetic resonance (MR) images and intraoperative ultrasound (US) images is very important in the planning of brain tumor surgery and during surgery. Considering that the two-modality images have different intensity range and resolution, and the US images are degraded by lots of speckle noises, a self-similarity context (SSC) descriptor based on local neighborhood information was adopted to define the similarity measure. The ultrasound images were considered as the reference, the corners were extracted as the key points using three-dimensional differential operators, and the dense displacement sampling discrete optimization algorithm was adopted for registration. The whole registration process was divided into two stages including the affine registration and the elastic registration. In the affine registration stage, the image was decomposed using multi-resolution scheme, and in the elastic registration stage, the displacement vectors of key points were regularized using the minimum convolution and mean field reasoning strategies. The registration experiment was performed on the preoperative MR images and intraoperative US images of 22 patients. The overall error after affine registration was (1.57 ± 0.30) mm, and the average computation time of each pair of images was only 1.36 s; while the overall error after elastic registration was further reduced to (1.40 ± 0.28) mm, and the average registration time was 1.53 s. The experimental results show that the proposed method has prominent registration accuracy and high computational efficiency.脑肿瘤手术规划及术中，术前磁共振（MR）图像与术中超声（US）图像的配准甚为关键。考虑到两种模态图像具有不同密度范围及分辨率，且超声图像存在较多的斑点噪声干扰，采用一种基于局部邻域信息的自相似性上下文（SSC）描述子定义图像之间的相似性测度。将超声图像作为参考，使用三维微分运算提取其中角点作为关键点，并采用密集位移采样离散优化算法实施配准。整个配准过程分为仿射配准和弹性配准两个阶段，在仿射配准阶段，对图像进行多分辨率分解，在弹性配准阶段，采取最小卷积和均值场推理策略对关键点的位移向量进行正则化处理。对22名患者的术前MR和术中US图像进行配准实验，仿射配准后的误差为（1.57 ± 0.30）mm，每对图像配准平均耗时1.36 s；弹性配准后的误差为（1.40 ± 0.28）mm，平均用时1.53 s。实验结果证明本文采用的方法具有良好的配准精度和速度。.
Buku Panduan Menulis Karangan Deskripsi Berbasis go to Your Post pada Siswa Kelas V SD (Penelitian Research and Development di SDN Gerem 1 Cilegon)

Writing skill is the ability to express ideas, opinions or even feelings to others using written media. Writing is still considered the most difficult skill to master. The study aims to develop a descriptive writing guidebook. The research method used is R&amp;D (Research and Development) with the research design of Borg and Gall modified by Sugiyono. The result of the research is the learning media of guide book to write descriptions based on go to your post. Based on the result of the due diligence of media experts, the criteria are feasible with an average value of 79%. The results of the validation by material experts obtained very feasible criteria with an average value of 87,31%. The results of the validation by linguists obtained the appropriate criteria with an average value of 76%. As for the results of the student response questionnaire on the limited trial obtained an average value of 92% with very good criteria. Based on these results, the final product in the form of a guidebook to write a description essay based on go to your post is declare suitable for use in the learning activities of grade 5 elementary school students.
Correction to: Argumentation Frameworks with Attack Classification

In section "3.4 Studying the effect of attack classifications" the first line of "Proposition 9" has been changed from "F -1" to "F 1 " • In the same section under "Proposition 10" list item 3, the word "extensions" has been changedto "extension".• In section "4 A Principle-based Analysis" under "Definition 11" the first "F" has been changedto "F 1 ".• The phrases "θ -σ ", "θ -ad", "θ -co", "θ -pr", and "θ -st" have been standardised throughout to use a short dash, removing any instances that used a long dash.• In Appendix A, "Proof of Proposition 20" the word "Maximality" has been corrected to "maximality".These errors, for which the publisher apologizes, have been corrected.
A Method of Companion Animal Breed Classification Using Deep Learning YOLOv5 Object Recognition

이세돌과 알파고의 바둑경기 이후 딥러닝에 대한 관심이 폭발적으로 증가하였다. 현재는 챗GPT를 비롯하여 딥러닝의 많은 기술이 우리 생활 속에 깊이 들어와 있고 연구자 뿐만 아니라 일반인도 딥러닝을 사용할 만큼 많은 분야에 응용되고 있다. 딥러닝은 CNN, YOLO 등 많은 모델이 발표 되고 있다. 특히, YOLO는 이미지를 사용한 객체 인식분야에 우수한 성능을 보이고 있어서 불량품인식, 쓰레기분리, 몰고기 인식 등 다양한 분야에 응용되고 있다. 일반적으로 딥러닝의 객체 인식은 많은 양의 데이터를 사용하여 학습한다. 본 연구는 반려동물을 대상으로 적은 수의 데이터를 학습한 후 인식방법에 대해 연구하였다. YOLO는 IoU를 기본으로 동작하기 때문에 반려동물 인식에 적합한 IoU를 설정하여 인식하는 방법을 제안하였다. After the Go match between Sedol Lee and AlphaGo, interest in deep learning exploded. Recently, many technologies of deep learning, including ChatGPT, are deeply embedded in our lives, and not only researchers but also the general public are using deep learning in many fields. In deep learning, many models such as CNN and YOLO are being introduced in these days. In particular, YOLO shows excellent performance in the object recognition field using images, so it is applied to various fields such as defective product recognition, garbage separation, and driving meat recognition. In general, object recognition in deep learning is learned using a large amount of data. This study studied the recognition method after learning a more smaller number of data than previous works for companion animals. Since YOLO operates based on IoU, we proposed a recognition method by setting IoU suitable for companion animal recognition.
IMPROVING READING-ALOUD ABILITY WITH A CONSTRUCTIVISM APPROACH FOR GRADE 2 ELEMENTARY STUDENTS

T his paper discusses the improvement of the reading - aloud ability of grade 2 elementary school students through a constructivism approach. The r esearch uses the classroom action method , which begins with the pre - cycle stages, cycle 1 and cycle 2 where each stage includes planning, implementation, observation, and reflection. After carrying out the research procedures and collecting data, the results indicate that the reading -aloud ability of grade 2 students using the constructivism approach provided a significant increase in grade 2 elementary school students ’ reading-aloud ability . The assessment indicators of reading- aloud ability were pronunciation, intonation, fluency, and students' courage , which describes an improvement in the students' reading -aloud ability test . The average pre-cycle score of students' reading - aloud ability was 67.85 increased to 73.53 in cycle 1. Subsequently, the average score increased to 80.23 in cycle 2 . Based on the research results above, the researcher concludes that students' reading - aloud ability could be improved by using a constructivism approach for grade 2 elementary school students .