Reviewerly/exHarmony huggingface dataset:
Searching the Scholarly Literature with Artificial Intelligence: an Introduction

Traditional search techniques canât cope with todayâs flood of articles. Artificial Intelligence may help us search more efficiently in less time. This blog series helps by trying out the available tools in a way that you can use them in your research workflow.
MKGPC: Multimodal Knowledge Graph Propagation for Recommendation Systems

Abstract With the exponential increase of information available on the Internet, the problem of information overload has become more and more urgent. Recommendation systems have been proposed to solve this problem by recommending a small subset of information from a large pool of data for users to quickly digest. Collaborative filtering has been the main direction of recommendation algorithm research, but it faces challenges such as the cold start problem and sparse interaction data. To address these challenges, researchers have introduced auxiliary information such as point-of-interest, comment, social networks, and contextual information. Knowledge graphs have been introduced as auxiliary information to improve the performance of recommendation systems. Knowledge graphs can fuse multiple data sources, expand the semantic information of data, and infer more potential information of data. However, current knowledge graph-based recommendation systems tend to ignore multimodal information. In this paper, we propose a new model, termed as MKGPC, that utilizes the propagation of information on the multimodal knowledge graph and considers multimodal information fusion. We compare the proposed model with state-of-the-art models. The proposed model shows promising results on two real-world datasets.
Penggunaan Kalimat dalam Teks Eksposisi Karya Siswa Kelas X SMA Negeri 1 Nan Sabaris Kabupaten Padang Pariaman

This study aims to describe the use of sentences in exposition texts in terms of structural clarity, logical meaning, frugality of words and standardization of words in exposition texts by class X students of SMA Negeri 1 Nan Sabaris, Padang Pariaman Regency. This type of research is qualitative research using descriptive methods. The data to be obtained are words and sentences obtained from research data sources. The source of the data used in this study was exposition texts by class X students of SMA Negeri 1 Nan Sabaris, Padang Pariaman Regency, for the 2021/2022 academic year with a total of 30 student exposition texts. The data collection technique in this study is the fishing technique. The instrument in this study was the researcher himself and assisted by an inventory table. Based on the results of the study, it can be concluded that First, in terms of structural clarity consisting of clarity of active and passive structures, 47 non-standard sentences were found, 18 non-standard adverbial subjects were found, five non-standard predicates were found, non-subject adverbs were found. five non-standard sentences, and the subject is not missing found 16 non-standard sentences. Second, in terms of logical meaning, it consists of a logical relationship between the meanings of S and P found in 16 non-standard sentences and a logical relationship of detailed (parallel) meanings found in 13 non-standard sentences. Third, from the point of view of saving words consisting of using one subject from the same subject, three non-standard sentences were found, using one word from several synonymous words, 90 non-standard sentences were found, and using the words needed to express the author's intent, 125 non-standard sentences were found. . Fourth, in terms of word standardity, 32 non-standard words were found. the results obtained prove that the use of sentences in expository texts for class X students of SMA Negeri 1 Nan Sabaris Padang Pariaman Regency is still low.
Non-Decimated Wavelet Transform and Vector Quantization for Lossy Medical Images Compression

This study presents a new approach for lossy medical image compression using vector quantization.Recently, the digital image has been a reliable replacement for a hard copy of medical images, therefore, an effort has been made to ensure maintaining high-quality images to use for archiving, classification, or automated diagnostics support.Although the medical application contains all sorts of the images like microscopic, X-rays, tomography, and fiber optics imaging by angioplasty, all of this comes at the cost of using digital storage that needs to be regularly backed up and maintained and to help minimize the need for larger storage media, this study is focusing on applying Non-Decimated Wavelet Transform (NDWT) and combined lossy and lossless compression techniques that will allow the images to take much smaller storage space while maintaining the high level of quality for these images.This study is focusing on chest X-ray images compression using a combination of lossy compression techniques using two Vector Quantization (VQ) algorithms such as k-means clustering and Linde, Buzo, and Gray (LBG) algorithm, and three lossless compression techniques such as Arithmetic Coding (AC), Run Length Encoding (RLE) and Huffman Coding (HC) and choose the optimum combination of them.Then, the performance is measured using Compression Ratio (CR), processing time, or called run time, Peak Signal to Noise Ratio (PSNR), and Bit Rate.
The Use of Remote Sensing Technology in Geological Investigation and Mineral Detection in Ban Vang area, Kham District, Xieng Khoang Province, Laos

Ban Vang area, Kham District, Xieng Khouang province, Laos is interested by many geologists. Remote sensing analytical results have identified some prospective mineral areas. One of them is the Ban Vang area. On that basis, Indochina Mining Joint Venture Company (IMC) cooperated with the Northwest Geological Division (Ministry of Natural Resources and Environment of Vietnam) to conduct mineral exploration in the Ban Vang area. The research results suggest that the Ban Vang area, Kham District, Xieng Khouang province, Laos has 2 iron ore bodies, 3 copper ore bodies, and potential ore outcrops. The Fe content of the iron orebodies varied from 28.5% to 58.7%. The ore-bearing rocks and the adjoining rocks are gray skarns having a solid structure with the main mineral composition of pyroxene and garnet. The copper content of the copper orebodies ranged from 0.14% to 5.59%. Copper ore bodies’ bedding is inclined to the west with a dip angle from 55o to 85o and thickness from 0.7m to 20.59m. The ore-bearing rocks and adjoining rocks are gray metamorphic rocks (skarn) with massive structure, granule, panidiomorphic, and grain textures. The mineral composition is mainly garnet and pyroxene. This article introduces remote sensing applications of mineral search in the Ban Vang area. The mineral search was conducted by the Northwest Geological Division. In this project, the author is a supervisor of the IMC Company.
Membangun Super Enkripsi untuk Mengamankan Pesan

The issue of message security or an information is very important. A science that studies about securing the confidentiality of messages using passwords is called cryptography. To enhance security, two algorithms are combined to secure messages. Super encryption is a concept that uses a combination of two or more substitution and permutation (transposition) cryptography techniques to obtain an algorithm that is more difficult to crack. The first thing to do is to encrypt the message using a substitution technique (Cipher Substitution), then re-encrypt it using a permutation technique (Cipher Transposition). In this study, two cryptographic algorithms will be combined to build super encryption using the Vigenere Cipher and Bifid Cipher algorithms to secure messages. The message encryption process is using the Vigenere Cipher algorithm for the first encryption process, then continued using the Bifid Cipher algorithm for the second encryption process. The encryption process is done the other way around, starting from the back of the encryption process. The combination of these two algorithms results in more secure message security.
Analisis Sentimen Mahasiswa Terhadap Perkuliahan Dalam Jaringan Menggunakan Metode Naïve Bayes Classifier

Since the pandemic of Covid-19 was happened in Indonesia, the government shared the letter of The Ministry of Education and Higher Culture Education Directorate No.1, year 2020 about prevention of the spread of Corona Virus Disease (Covid-19) in higher education. Through the letter, The Ministry of Education and Culture gave an instruction for college to organize online learning and suggested students to study at their home. Online learning which was considered as a strategy then became a controversy because it needed adaption. This sudden change from normal learning to online learning caused many responses from students. The aim of this research was to analyze student sentiment or responses on online learning in this pandemic era of Covid-19 in Indonesia by using data which had been collected using questionnaire and processed using naïve bayes classifier method. This research was case study descriptive quantitative research. The research was done by collecting the data first. The data was collected through questionnaire with the question about their opinion on online learning in this pandemic Covid-19 era. The data was 157 student’s data opinion on online learning. After the data was collected, the data was cleaned first from question mark and the words which didn’t give an effect in sentiment analysis. After the data was cleaned, then the result of the classification will be showed as well as the accuracy which the model earned. The result showed that online learning had negative sentiment more than positive sentiment. The height of negative sentiment was caused by discomfort of student in online learning. The word which frequently showed was ‘tidak efektif’, ‘susah’, and ‘tugas’. The accuracy of this model was 75% when the result of this accuracy was good result in classification.
Angle constrained Paths

Abstract The traveling salesman problem (TSP) is a well-known and most widely studied problem in combinatorial optimization. The Dubins TSP is a variant of TSP for curvature-constrained vehicles. In this paper, another variant of TSP, called angle-constrained TSP, is considered for vehicles that can either move straight or turn, i.e., no voluntary curve is possible. The vehicles are only allowed to make on-the-spot turns and straight motions. We impose turn angle constraint on vehicles. Hence, some additional arbitrary points, called stop points, are added to reach an unreachable target. Here, computing the minimum number of stop points walking on the optimal TSP path is presented as the solution of angle-constrained TSP. In addition, we consider two other problems: computing an angle-constrained path on the vertices with the minimum number of stop points and computing an angle-constrained path with the minimum perimeter. In both problems, there is no need to stay on the optimal TSP path. Here, some algorithms are developed to solve these three problems and are examined on some datasets. These algorithms can be used for the path planning of robots with turn angle constraints.
Development of Biology Learning Media Assisted by Construct2 to Improve Critical Thinking Skills

The construct2 software is an HTML5 based Game Builder Tool. Construct2 can be used in the development of biology learning media assisted by construct2 or HTML5 to improve critical thinking skills. This type of research is research and development (Research and Development) which is accommodated from Sugiyono (2008) which was developed according to the conditions and situations. The research data instruments consist of assessment instruments by validators (material, language, and media), and media-based questionnaires based on teacher and student responses. The research data is in the form of media data validation from a team of experts, the results of the virtual laboratory media feasibility test, and the results of the learning media effectiveness test. The research population consisted of 5 SMA 1 BELO classes consisting of IPA 1, IPA 2, IPA 3, IPA 4 with a total of 130 students. The research subjects consisted of 67 students from Senior High School Negeri 1 Belo, West Nusa Tenggara, Indonesia. The result of the research is an application-based virtual laboratory application that can be programmed using Construct2 or HTML5 software. The results of the validity test according to experts ranged from 97%, while the exact location was 87%. The implications of this research are expected to be able to contribute to researchers, practitioners, to be able to optimize construction in making 3-dimensional virtual laboratory media
PHENOMENOLOGY OF HERMENEUTICAL PRACTICE OF MODERN EDUCATION

Objective of the study: to consider the phenomenology of hermeneutical practice of pedagogy and modern education. The methodological basis of the research consisted of the fundamental provisions of the philosophical foundations of hermeneutics, the ideas of the phenomenological approach, the idea of the content characteristics of cognitive processes. as well as the essence of understanding in the aspect of understanding the concept of "experience", considered as a factor of subjectivization of pedagogical reality. Research results consist in concretizing the definition of the category «life world» in the context of interpretation; defining hermeneutics and phenomenology by forms of discursive practices in terms of addressing the subject; understanding the experience that determines the completeness of understanding by the form of knowledge; defining the basic ideas of implementing the hermeneutic approach in modern educational practice; defining the characteristics of the technological aspect of phenomenological hermeneutic practice; substantiation of cultural guidelines of hermeneutical practice of pedagogy and modern education by metaprincipes. Prospects of the study are connected with the development and testing of an integrative complex of hermeneutical technologies of divination and the experience of social realization of personality in the existence of culture.
Basic Mechanics of Lagrange and Hamilton as Reference for STEM Students

This paper discusses the use of Lagrangian and Hamiltonian dynamics as alternative approaches for understanding the motion of objects in classical mechanics. These approaches, which are based on different mathematical techniques, can provide a deeper understanding of the principles of classical mechanics and the motion of objects, but may not be covered in high school physics curricula or undergraduate STEM courses. The review paper approach is used to combine information from a variety of sources, and the material is conceptualized to aid reader understanding. These advanced topics may be of interest to advanced high school students who are interested in exploring topics beyond the high school physics curriculum, and can be studied independently by those with a strong foundation in classical mechanics and familiarity with advanced mathematical concepts.
PENINGKATAN KOMPETENSI BAHASA INGGRIS DAN LITERASI SISWA SMAN 1 PULE TRENGGALEK MELALUI PELATIHAN “HOW TO SPEAK ENGLISH CONFIDENTLY”

English training Confidence is the key of success in education. Armed with confidence, every student could certainly develop into a human with a good character. Student who are confident will be able to accept himself, ready to accept the challenge in the sense of want to try something new even though aware that the possibility of one must have and tend to be more successful in doing what he want. The objective of this community service activity is to provide scientific assistance to the students of SMAN 1 Pule Trenggalek in learning English, especially how to speak English confidently. The community service activity was carried out in the form of short training with members of 40 students held in the hall of SMAN 1 Pule Trenggalek. The method used in this community service activity is lecturing, drilling, questioning and practicing. Based on observation during this community service activity, several results were obtained. The results of this community service activity are increased insight of students of SMAN 1 Pule Trenggalek on speaking English confidently. The students in SMAN 1 Pule Trenggalek can speak fluently, dare to ask and declare in front of the class.
Effect of Digital Literacy and Educational Technology on School Quality: Case Study of The Tiara Bangsa School

Poor media literacy skills will have a negative impact on the information obtained related to the truth of the information. Building awareness of media literacy will at least help in the world of education. The aim of this study is to analyze digital literacy and educational technology in quality schools at the Tiara Bangsa. This type of research is quantitative using validity techniques, frequency distribution tables, normality, linearity, and path analysis. The type of data collected was primary data which was carried out by distributing questionnaires to all employees. Tiara Bangsa School has begun to be able to apply digital literacy and educational technology together to the quality of education. The results of the study also show that digital literacy and the quality of education have not been carried out as expected. Educational Technology with the quality of Education has not been implemented properly
Development of Magnetic Digital Comics in Science Learning to Improve Student Learning Outcomes in Elementary Schools

This study aims to develop digital comics for learning magnetism in learning Science in Elementary Schools. This type of research is development research, which refers to the Four-D. The location of this research is at Kota Tengah 80 Public Elementary School, Bulangu Timur 1 Public Elementary School, and Telaga Biru 1 Public Elementary School. The results of the study show that digital comic magnets developed for science learning in elementary schools: (1) are categorized as valid and feasible; (2) Practically used, this is indicated by the very good response from students with a percentage of 90% in the limited trial class and 93.75% in the extended trial class. The implementation of learning in the limited trial class obtained an average percentage of 90.91%, while in the extended trial class it was 96.15%; (3) Effectiveness, indicated by good student activity with a percentage of 82% in both limited trial classes and extended trial classes, as well as student learning outcomes that are in very good criteria. Based on this, the digital comics magnet that has been developed is stated to be valid, practical and effective, so that it can be used in the science learning process in class V of elementary school
Gender Classification from Face and Eyes Images Using Deep Learning Algorithm

Gender classification provides additional information about the individual's identity, which is crucial in surveillance, smart interface, and smart advertising, it is a very important aspect of face analysis that has piqued the interest of researchers in areas such as demographic information collection, surveillance, human-computer interaction, marketing intelligence, security, etc. Usually, facial images are used to extract features for classification.This study aims to determine gender based on the entire face or the eyes (for masked or occlusion faces).The proposed method consists of six main stages: (1) Remove the background using the Deep Labelling Version 3 plus (DeepLabV3+) method; (2) Skin detection by applying the combination of the two colors spaces models (Hue, Saturation, Value (HSV)) and (Luminance, Chrominance blue and Chrominance red (YCbCr)); (3) Face detection using the Haar Cascades classifier method; (4) Face alignment and cropping; (5) Classify the gender.Classification of the gender when the image contains the entire face is based on a deep wavelet.In the case of occlusion faces, we proposed to use a Convolution Neural Network (CNN) for classifying the gender from the eye (s).The dataset used for training this model is the celeb faces attributes dataset (CelebA) and some of the different datasets were also used to compare this model with the other previous works.In addition, we showed that our models perform well with images with some challenges, for example, some of the faces are not fully visible, not completely frontal, wearing glasses with different styles, have low quality and noise, have various lighting, children's and infants' faces, with and without makeup, open and closed mouths and closed eyes.Other than that, the accuracy achieved was 98% when classifying from face images and 98% from the eye.The proposed method was compared with previous works and was very promising.The contributions of this proposal were the use of the deep wavelet for gender classification and the proposal of a new method for skin detection, which enhances the performance of the Haar cascade method used for face detection.Also, we proposed a method for face alignment and, finally, the classification of genders with many challenges from the entire face or just from the eye (s).
Pengaruh Game Online terhadap Pemerolehan Bahasa Anak Sekolah Dasar

The development of information technology is very fast, many benefits are obtained from the development of this technology. One of the benefits of technological developments is the existence of online Game entertainment facilities. This online Game can have an impact on the language acquisition of elementary school children. This study aims to describe the acquisition of language in grade 4 elementary school children aged 9-11 through semantic studies, namely the study of the meaning of a verb, adjective, or noun. The data source comes from the subject to be studied. This research method uses a qualitative approach. Data collection was carried out using five methods, namely observation, observation, notes, interviews, and questionnaires. The results of this study are that online Games can affect the language acquisition of children aged 9-11 years at SDIT Ibnu Mas'ud, Ambarawa District, marked by an increasingly widespread acquisition of words that are absorbed through online Games, such as verbs (victory, booyah, defeat, login, kill, mabar, drift, survival, by one, ngemoti, push), adjectives (perfect, hockey, noob, idiot, bot, asu, op, good at) and nouns (skin, turret, inventory, tournament) which they apply in everyday language
Variability and learning in language change: The case of V2

The loss of V2 has received considerable attention in the past with some theories linking it to learning (e.g. Lightfoot 1999, Yang 2002). Here, we use artificial language learning experiments to test, in a controlled setting, what factors affect learning of V2. Specifically, we build on previous work demonstrating a general beneficial effect of input variability. We explore the role of variation in clause-initial constituents by comparing artificial languages that differ both in the kinds of grammatical categories that tend to appear in initial position, and the level of variability present. We find that these different distributions of clause-initial constituents indeed affect V2 learning outcomes. However, contrary to our predictions, a language with the highest level of variability is not the best learnt. Rather, a language containing many adjunct-initial sentences was learnt best. We discuss the possibility that a high quantity of clause-initial adjuncts is in fact important to acquiring V2 grammars in natural language. We find further support for this in corpus data indicating a high proportion of adjunct-initial sentences in stable V2 languages and a low proportion in languages that had been in the process of losing V2. We also discuss the role of variability in grammatical categories rather than roles, which might give languages with many clause-initial adjuncts an advantage. Taken together, our findings establish the first evidence for a causal link between the reduction of evidence and the loss of V2.