Reviewerly/exHarmony huggingface dataset:
PENERAPAN MODEL PEMBELAJARAN STAD UNTUK MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS V SD

This study aims to improve mathematics learning outcome of fifth grade students by using STAD learning model at SD Muhammadiyah Domban 1 Sleman. This type of research was classroom action research. Data collection techniques used tests and observations. The data obtained in this study were then analyzed by using quantitative and qualitative descriptive analysis. This study shows that the use of STAD learning model can improve mathematics learning outcome among the fifth grade students of SD Muhammadiyah Domban. The learning outcome obtained from the cycle I were still not optimal in which there were only 67.7% of students who meet the minimal standar score then proceed to cycle II. In cycle II, the application of STAD learning model runs well, it can be seen from the students learning outcome of the cycle I in which there were 87.1 % of students who had reached the minimal standard score)
Sistem Pengenal Isyarat Tangan Untuk Mengendalikan Gerakan Robot Beroda menggunakan Convolutional Neural Network

Currently, Human and computer interaction is generally done using a remote control. This approach tends to be impractical for wheeled robot operation because it must always carry an intermediary tool during the operation. The application of hand gesture recognition using digital image processing techniques and machine learning in the control process of wheeled robots will facilitate the control of wheeled robots because control no longer requires an intermediary tool.In this study, hand image taken using a camera then will be processed using a single board computer to be recognized. The results of recognized are passed on to arduino leonardo and DC motor to control twelve wheeled robot movement. The method used in this study is contrast stretching for preprocessing and Convolutional Neural Network (CNN) for hand recognition. This method is tested with a variation of bright 26-140 lux, the distance from the face to the camera is 120-200cm. Hand recognition systems using this method resulting accuracy 97,5%, precision 97,57%, sensitivity 97.5%, spesificity 99,77 and f1 score 97.45%.
Penentuan Jaringan Sumur Pantau Primer Dengan Metode Inverse Distance Weighting Di Cekungan Air Tanah Jakarta

The increasing demand of raw water in DKI Jakarta has caused excessive groundwater abstraction. It causes the groundwater level drop to certain level and has emerged cone of depression in some areas. Groundwater management as an effort to recover the groundwater level, requires an integrated groundwater monitoring system. Recently, there are approximately 161 groundwater monitoring wells in Jakarta groundwater basin. Those wells are generally categorized as secondary network, since determined by groundwater abstraction activity. Meanwhile, a representative primary network to monitor the natural condition of groundwater in each aquifer layer is not yet available completely. The method of Inverse Distance Weighting (IDW) spatial estimation is applied to determine the number and distribution of primary monitoring wells based on aquifer geometry using Groundwater Modeling System (GMS) software. Based on the aquifer geometry, it can be arranged monitoring zones and the number of monitoring wells in each zone. There are 9 monitoring zones in Jakarta groundwater basin consist of 1 zone with 1 monitoring well, 2 zones with 2 monitoring wells, 3 zones with 3 monitoring wells, and 3 zones with 4 monitoring wells, so that the total of primary monitoring wells for groundwater monitoring in Jakarta groundwater basin is 26 monitoring wells. This research is expected to be useful for stakeholders to optimize the representative monitoring wells network based on aquifer geometry in sustainable groundwater management.
Exploration on the Application of Computer Music in the Teaching of Public Music

In recent years, with the rapid development of economy, science and technology in China, computer music technology has been gradually applied to the teaching of public music in the information age. In the process of music teaching, computer music technology can enhance the interest and flexibility of solfeggio, harmony and other theoretical courses, but also shorten the distance between music theory and practice, thus arousing students' interest in learning music, and then greatly optimizing the teaching effect and music teaching idea of music theory course in colleges and universities. By studying the status of computer music application in public music class, this paper analyzes the effect of computer music on public music class, to promote the teaching effect of public music class.
Development of guided reading-based village library services and its implementation

Introduction. The role of village libraries as resource centers are not widely known by the community. The village libraries have varying weaknesses in aspects of a library. The problems are the lack of human resources; less library services and promotion; insufficient collection; inadequacy of library furniture and equipment; unstable internet network; and lack of local government support. This study was a pioneer in facilitating the reading service system to support implementation of reading materials. This system was developed by village libraries through guided reading techniques.Data Collection Method. This paper used Participatory Research Appraisal to guide the data collection process involving 15 participants.Analysis Data. The participants were rural people living in West Java, Indonesia. Additional data were obtained through direct observations in seven village libraries in West Java. Data from informants were compiled and categorized according to their comparative aspects. The result is sequential activity design in accordance with PRAResults and Discussions. The results showed that village libraries were not being recognized and utilized by members of the rural community.Conclusion. They expect that the entrepreneurship activities of reading efficient technology–based books are supported by actual business practices.
GEOPHONES IN LOCAL SEISMOLOGICAL NETWORKS

In this paper, a method of assessment of geophones capability in seismological networks is described. The expansion of records frequency band, which are needed in this case, is performed by special software (low-frequency deconvolution algorithm). The main feature of the work is that the possibility of deconvolution is linked to the seismic energy of events, and not only to the level of the original seismic signals.
Face Recognition in Cross-spectral Environment using Deep Learning

Face recognition is very much popular in the present era, and many researchers are working on face recognition and produce the most promising results in terms of recognition and human identification.It has many applications for authentication and verification.Along with these advancements, face recognition is still challenging the heterogamous environment, such as near-infrared and visible spectrum.Matching of face images capture in the nearinfrared spectrum (NIR) to face images of the visible spectrum (VIS) is a very challenging task.In this research work, we have proposed a deep learningbased model for cross-spectral face matching (face recognition).The 26-layered deep residual network is extracted discriminative features from the face images and learn the common feature of the subject in the cross-spectral for the matching.To trained the proposed model, we have applied both VIS and NIR images with corresponding labels.For the performance evaluation of the proposed cross-spectral matching algorithm, experiments are performed on publicly available CASIA 2.0 NIR-VIS face datasets.The proposed method produced significant improvement in GAR.Our method gives recognition accuracy of 98.55 %.
Two Discourse Tree - Based Approaches to Indexing Answers

We explore anatomy of answers with respect to which text fragments from an answer are worth matching with a question and which should not be matched.We apply the Rhetorical Structure Theory to build a discourse tree of an answer and select elementary discourse units that are suitable for indexing.Manual rules for selection of these discourse units as well as automated classification based on web search engine mining are evaluated concerning improving search accuracy.We form two sets of question-answer pairs for FAQ and community QA search domains and use them for evaluation of the proposed indexing methodology, which delivers up to 16 percent improvement in search recall.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE MAKE A MATCH UNTUK MENINGKATKAN HASIL BELAJAR PKn

This research is motivated by the still low learning outcomes of PKn students in grade V SDN 003 Tasik Juang. This study aims to improve student PKn learning outcomes by applying a make a match cooperative model. The design of this research is classroom action research, which consists of two cycles. Each cycle consists of planning, implementing, observing, and reflecting. The results showed that, on the base score, of 30 students, the number of students who completed as many as 17 people while students who did not complete as many as 13 people. In the daily test I, the number of students who finished completed increased to 23 students and students who did not complete became 7 students. Cycle II the number of students who completed was 28 people while students who did not complete 2 people. The percentage of classical completeness in the base score of 56.6% then increased in the first cycle to 76.6% and then increased again in the second cycle to 93.3%. Based on the results of the above research, it can be concluded that by applying the make a match type of cooperative learning model can improve the learning outcomes of PKn students in grade V Tasik Juang
The ellipsis of grammatical functions in coordinative structure of Japanese language

The discussion in this paper is focused on the ellipsis of grammatical functions in Japanese covering that of the function of grammatical of coordinative structure. The data analyzed in this paper were taken from Japanese corpus data. The concept of ellipsis was taken from Quirk et al., (1985), Makino &amp; Tsutsui, (1994), and Verhaar (1981). The ellipsis from Quirk et al (1985) was applied the concept of recoverability from the grammatical point of view: (1) textual recoverability, (2) situational recoverability, and (3) structural recoverability. The qualitative and synchronic descriptive method was employed in this study. A qualitatively descriptive method was employed to explain and describe the coordinative sentence, whereas the synchronic approach was used to cover the current language phenomena. The findings show that in the coordinative structure, ellipsis of the function of grammatical subject, ellipsis the function of predicate and ellipsis of the function of object took place. Ellipsis of the function of grammatical in the coordinative structure can be anaphoric or cataphoric. It is called anaphoric because the ellipsis takes place rightward, the controlling constituents are located in the first clauses and the controlled constituents are located in the second clause. It is called cataphoric because the controlling constituents are located in the second clauses and the controlled constituents are located in the first clauses.
Remote sensing and geochemical monitoring of soils and vegetation cover of industrial waste dumping site (Kursk region)

The paper summarizes results of long-term remote sensing and geochemical monitoring of soils and vegetation cover influenced with abandoned industrial waste dumping site at the southern periphery of Kursk city. Analysis of prolonged image time series (19542018) has resulted in the reconstruction of natural landscape pattern in study area, mapping the expansion of waste deposit area under the period of active exploitation, delineation of five historic-functional zones of the dumping site. These zones are featured with different age and type of technogenic transformations in landscape structure, particular levels of heavy metals content and their distribution in soils and vegetation. Studies of spatial pattern and long-term (20002017) changes in contamination of soils and technogenic surface formations with heavy metals revealed that the maximum level of soil and vegetation pollution with heavy metals (Pb, Cd, Ni, Zn, Cu, Sb) is fixed for the zone of excavation, mixing and secondary burying of industrial wastes in 2000s. Increased concentrations of Sb and Zn still persist in surface soil layers of chernozems outside the territory of abandoned dumping site.
Penerapan Algoritma Fisher-Yates Pada Aplikasi Sahabat Cerita Untuk Pengenalan Sahabat Nabi Berbasis Android

The introduction of the exemplary figures of the Companions of the Prophet was needed as a means of children's learning in behavior and religion, so that children have better role models to emulate. Exemplary stories in book form are sometimes less interactive. The introduction of role models who can be accessed at any time is needed, so that it can facilitate the learning process. Almost all aspects of human life can not be separated from smartphones. The use of smartphones also includes not only adults but also children. Android is a smartphone operating system that is in demand by all circles of society today. Making this application is designed using Android Studio 3.2 software and using the Java programming language. System development uses the waterfall model including analysis, design, implementation, testing and maintenance. This application displays a variety of exemplary stories from the Prophet's companions in the form of animated stories and videos, by using the Fisher-Yates Shuffle algorithm method which is a form of randomization of questions so as to make the question not boring. This application is expected to be one of the learning media for parents to accompany their children by utilizing an Android operating system smartphone
Implementasi Teknik Enkripsi dan Dekripsi dI File Video Menggunakan Algoritma Blowfish

&lt;p&gt;&lt;strong&gt;&lt;span style="font-family: Times New Roman; font-size: small;"&gt;Abstrak&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Kriptografi (&lt;em&gt;cryptography&lt;/em&gt;) merupakan proses keamanan data untuk menjaga pesan (file) agar tidak “diganggu” oleh pihak ketiga. kriptografi memiliki unsur proses, yaitu : enkripsi, dekripsi, dan kunci. Menjadi kebutuhan &lt;em&gt;user&lt;/em&gt; untuk menghindari ‘pihak ketiga’ yang bisa merubah, mengambil ataupun menghilangkan data secara fisik atau menjalankan fungsi program yang mengganggu sistem. Tingkat keaslian data menjadi bagian penting didalam sistem keamanan data. Jenis data berupa file yang berpotensi “dirusak” secara illegal tidak hanya berextention .doc bisa saja jenis file yang berextention file video. Untuk menjalankan fungsi dari sistem keamanan data file video, legalitas akses akan data sangat penting untuk&lt;em&gt; secure&lt;/em&gt; sehingga tidak berakibat kepada penyalahgunaan hak akses data. Teknik yang digunakan untuk menunjang enkrip dan dekrip file video adalah menerapkan algoritma blowfish didalam implementasinya. Algoritma ini memiliki sistem keamanan yang variabel. Hasil ujicoba menggunakan 6 contoh file extention yang melalui teknik enkrip dan dekrip adalah : file extention .asf, .wmv, .avi, .3pp, .flv, .vob. Dibangun berbasis desktop.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;&lt;span style="font-family: Times New Roman; font-size: small;"&gt;Abstract&lt;/span&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;span style="font-family: Times New Roman; font-size: small;"&gt;Cryptography (cryptography) is a data security process to keep messages (files) from being "disturbed" by third parties. Cryptography has three basic functions, namely: encryption, decryption, and key. Being a user need to avoid 'third parties' who can change, retrieve or delete data physically or run program functions that interfere with the system. The level of authenticity of the data becomes an important part in the data security system. This type of data in the form of files that have the potential to be "tampered" illegally not only with the .doc extension can be the file type with the video file extension. To perform the function of the video file data security system, the legality of access to data is very important to secure so that it does not result in misuse of data access rights. The technique used to support encryption and decryption of video files is to apply the blowfish algorithm in its implementation. This algorithm has a variable security system. The test results using 6 sample file extensions that go through the encryption and decryption process are: file extension .asf, .wmv, .avi, .3pp, .flv, .vob. Desktop based.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Synergizing Local and Global Models for Matrix Approximation

Ensemble matrix approximation (MA) methods have achieved promising performance in collaborative filtering, many of which perform matrix approximation on multiple submatrices of user-item ratings in parallel and then combine the predictions from the sub-models for higher efficiency. However, data partitioning could lead to suboptimal accuracy due to the lack of capturing structural information related to most or all users/items. This paper proposes a new ensemble learning framework, in which the local models and global models are synergetically updated from each other. This makes it possible to capture both local associations in user-item subgroups and global structures over all users and items. Experiments on three real-world datasets demonstrate that the proposed method outperforms six state-of-the-art methods in recommendation accuracy with decent scalability.
Analisis Perbandingan Performa Virtualisasi Server Sebagai Basis Layanan Infrastructure As A Service Pada Jaringan Cloud

Cloud Computing provides convenience and comfort to every service. Infrastructure as a Service is one of the cloud computing services that is a choice of several users, it is very important to know the performance of each existing platform in order to get the maximum result according to our needs. In this study, testing 3 platforms of cloud computing service providers are VMWare ESXi, XenServer, and Proxmox, using action research methods. From the results of performance measurements, then analyzed and compared with the minimum and maximum limits. The tested indicators are response time, throughput, and resource-utilization as a comparison of server virtualization performance implementations. In the resource utilization testing when the condition of installing an operating system, CPU usage on the Proxmox platform shows the lowest usage of 10.72%, and the lowest RAM usage of 53.32% also on the Proxmox platform. In the resource test utilization when idle state shows the lowest usage of 5.78% on the Proxmox platform, while the lowest RAM usage is 57.25% on the VMWare ESXi platform. The mean resource utilization tests indicate that the Proxmox platform is better. At the throughput test when the upload measurement of the XenServer platform is better 1.37 MB/s, while the throughput test when the download of the VMWare ESXi platform is better than 1.39 MB/s. On response time testing shows the platform VMWare ESXi as the fastest is 0.180 sec.
How Stablecoin Implementation Can Lead to Increased Accounting Clarity and Standardization

Stablecoins represent the current iteration of cryptoasset development and implementation but remain an area in which further development and research is necessary to improve the reporting and accounting codification conversation. Although the various iterations of stablecoins do purport to address some of the significant problems and issues preventing wide adoption and implementation of cryptocurrencies there is also some debate around the future of these cryptoassets. Accounting and reporting guidelines for cryptoassets overall, including stablecoins, remain fragmented due to regulatory misunderstanding as well regulatory scrutiny over proposed stablecoin projects. What this research does is present both an analysis of stablecoins as well as put forth a number of suggestions as to how stablecoins can help drive the accounting classification dialogue forward. Written with both a practitioner and academic audience in mind this research can be used to pursue further implementation and research projects moving forward.
THE EFFECT OF GENDER ON GENRE PREFERENCES AND READING ACHIEVEMENT TO NINTH GRADE STUDENTS’ OF JUNIOR HIGH SCHOOL

This study aims to identify the effects of gender on genre preferences (narrative, recount, descriptive, report and procedure) and reading achievement, and also to analyze the correlation between genre preference and reading achievement. The sample of this study was 30 students of Junior High School 15 Mataram. To gather the data, a closed questionnaire was given to collect students’ genre preferences; reading test was given to get students’ score in reading; and the open questionnaire was given to collect the factors that affect students’ reading interest and achievement. The data were analyzed by using Regression analysis test. The result of the analysis indicates that there is significant effect of gender on genre preference. It is evidenced by the result of f-test and t-test, where the value of fcount is higher than ftable (4.435 &gt; 3.354) and the value of tcount is higher than ttable (2.106&gt;1.699). Meanwhile, there is no significant effect of gender on students’ reading achievement. It is evidenced by the result of f-test and t-test. The value of fcount is lower than ftable (0.000&lt;3.354) and the value of the tcount is lower than ttable (0.57 &lt; 1.699). Furthermore, the result of Partial Correlation showed that there is no significant correlation between genre preference and reading achievement. It proofed by the result of probability value that higher than significant level (0.232 &gt; 0.05) and the result of reading test presents that both genders were fail on genre that they prefer in.