Reviewerly/exHarmony huggingface dataset:
Research on Multi-user Access Control Scheme for Private Cloud in Space Control Center

The attribute-based encryption (ABE) mechanism enables fine-grained access control of sensitive data and data encryption. The ciphertext-policy ABE (CP-ABE) based on the ideal lattices has the advantages of small private key length and high computational efficiency. Aiming at the multi-task parallel and multi-user access of Space Control Center, this paper analyzes the multi-user data access mode and data encryption key structure of Space Control Center and proposes a kind of ABE access control scheme based on ideal lattice in private cloud for Space Control Center. This paper also designs s targeted direct attribute revocation mechanism. Security analysis and program comparison were carried out. The analysis shows that the scheme can meet the multi-user access control requirements of Space Control Center, and the access control granularity meets the actual situation.
TARGET NEED INTERVIEW IN DEVELOPING TEACHING ENGLISH ESSAY MATERIAL BASED ON BRAINWRITING STRATEGY

The study in this research is an interview in needs analysis of students and lecturers or target needs to determine the basis to be used in developing a product in the form of teaching essays in English. Analysis of this need is a step or procedure that must be done in research and development. The procedure in this research is interview. This research was conducted at an English Education Program at STKIP Kusuma Negara Jakarta. One of the motivation of researcher to conduct this research is the existence of information on the ability of most students in writing English essays that are still below the average and one reason is because the English essay writing material used is less interesting and difficult to understand, so students not interested in studying thoroughly. With this, researcher was inspired to develop teaching material models for writing essays in English. One of the procedures carried out in developing the teaching material is needs analysis. Based on the target needs interview , the researcher found the characteristics of teaching materials in writing English essays needed by students and lecturers, these characteristics are almost similar to the characteristics of  brainwriting learning strategies. Thus a brainwriting strategy will be integrated into the preparation of English essay writing teaching material. Keywords: Target needs interview, English essay writing material, brainwriting strategy
Mobile Complaint Management System (MOCAS)

Mobile Complaint Management System (MOCAS) is a mobile application that have been developed to increase the efficiency of addressing complaints by using a smartphone which is portable and handy.MOCAS is developed for the Universiti Teknologi MARA (UiTM) Cawangan Terengganu Kampus Kuala Terengganu management where they are still practicing traditional way in storing data.The current business process is conducted by filling a physical form by the complainant which it takes time for the complainant to go to the college office to do so.Also, the manual method can lead to the difficulties in gathering certain data for references.The staff takes at least two weeks to gather each complaint into each category because they do not have a proper database but a log book.MOCAS project is built by implementing Extreme Programming which is derived from Agile Software Development Model, and Ionic framework.While the design of MOCAS was done by adapting User Experience (UX) concept.A questionnaire has been provided for user and expert evaluation on this project development.It consists of demographic information and five sections which are perceived usefulness, functionality, usability, user experience, and satisfaction.The highest mean of the user evaluation is perceived usefulness, 4.37, where A1 and A5 stated that the system application would help them to improve their job performance and it is easy to complete their job.MOCAS was evaluated by 10 experts and 120 respondents.The experts are lecturers while the respondents are the students of UiTM.
PENGENALAN BAHASA INGGRIS PADA INDIVIDU AUTIS MELALUI GAMBAR BERSUARA

English has become the second language after Indonesian. This situation is used by education practitioners by incorporating English into their curriculum programs, for parents, English can affect children's competitiveness. Teaching and introducing English to autistic individuals is not easy. Talking photo is a learning media that is essay to apply because it can designed by the parents themselves and the contents can be adjusted to the needs. This research was conducted with qualitative methods describing the application of talking photo in introducing English. Respondents in this study were 3 autistic individuals of pre-school age, not yet exposed to English at all and did not enter the world of education or school. English in this study is vocabulary about parts of body and activities. The results obtained after two months of intensive exposure, respondent one could pronounce and respond to 7 parts of body vocabulary words and 4 activities vocabulary; second is able to pronounce and respond to 5 parts of body vocabulary words and 5 activities vocabulary and third is able to pronounce and respond to 3 parts of body and 3 activities vocabulary. Progress of autistic individuals occurs because of the integration of stimulus and family support.Keywords: Autistic Individual, English, Talking Photo
Development of the 3-Dimensional Map in the Bandung Regency Government Complex

Abstract The purpose of this research is the development of 3-D Maps in the Government Complex of Bandung Regency to facilitate the people in Bandung Regency to find the location of official offices related to administrative needs. The research method used was qualitative and quantitative methods and there are several stages carried out in this study consisting of 4 stages. The first stage is data collection and analysis, software development, system testing and the last stage is drawing conclusions. The application built models the agency office and environment in 3D. The application built also has the closest route search feature using the Dijkstra algorithm. The results of this study are that the system also provides information relating to the agency office. Based on the results of user acceptance tests conducted on residents, more than 70% of the population agree that this 3D map makes it easy for residents to find the location of a building and determine the closest distance to that location. With this 3D Map, residents no longer need to worry if they get lost in the complex area of the Bandung Regency Government and can also quickly find the location of an official service office.
Adding Custom Sandbox Profiles to iOS Apps

The massive adoption of mobile devices by both individuals and companies is raising many security concerns. The fact that such devices are handling sensitive data makes them a target for attackers. Many attack prevention mechanisms are deployed with a last line of defense that focuses on the containment principle. Currently, iOS treats each 3rd party application alike which may lead to security flaws. We propose a framework in which each application has a custom sandboxed environment. We investigated the current confinement architecture used by Apple and built a solution on top of it.
Klasifikasi Mutu Buah Pala (Myristica Fragrans Houtt) Berbasis Pengolahan Citra Menggunakan Metode Deep Learning Arsitektur Faster R-CNN

Fakfak is the number one nutmeg producing area in Indonesia with a land area of around 16,011 Ha. Nutmeg production is projected to continue to increase until 2020, recorded in 2011 the production of nutmeg in particular reached 12,884 tons or 25 percent of the total Indonesian nutmeg production. This increase was not followed by an increase in market share. One solution to get a wider nutmeg market is exports. But currently not all requests for nutmeg can be fulfilled, because the quality of the nutmeg does not meet the requirements requested. One factor is the surface defects in the nutmeg skin that affects the quality of the fruit, especially the appearance of the fruit. The sorting of nutmegs has so far been using conservative methods, namely by observation based on experience (self-taught). This manual method is felt to be less effective because it depends on the conditions and conditions of the sorting staff, different perceptions between each sorter, takes a long time, requires large costs and involves many workers. To deal with these problems, our previous research developed a method for classifying nutmeg seeds, using image processing methods with color and shape parameters combined with a neural network and sigmoid convolution classification algorithm as a validation method, an accuracy of 87%, but this has not been said to be optimal so we try to use the same approach with the latest method improvements using the R-CNN Faster obtained the best accuracy of 95% with a learning rate of 4000 with a processing time of 0.04 minutes per second.
Axiological approach to the formation of a professional culture student directors as a method of solving the problems of screen pedagogy in a university

Тенденции развития науки и образования
The Effectiveness of Using Inductive Method in Teaching English Grammar

This article presents the research results which are: (1) there is a significant difference in grammar mastery between students taught using Inductive Method and students taught using Deductive Method; (2) Inductive Method is more effective than Deductive Method. The research method used in this research is an experimental design. This research was conducted at SMP Negeri in Surakarta in the academic year of 2017/2018. The research population is the eighth-grade students. The samples are class VIII A as the experimental group consisting 28 students and class VIII B as the control group consisting 28 students. The research instrument used to collect the data is a test. The data were analyzed by using t-test formula. The computation of the t-test shows that t observation (t&lt;sub&gt;o&lt;/sub&gt;) = 2.284 is higher than t table &lt;sub&gt;(54. 0.05)&lt;/sub&gt; = 2.0048. It can be concluded that there is a significant difference in grammar mastery between the students taught using Inductive Method and the students taught using Deductive Method. The mean score of the experimental group is 58.29, while the mean score of the control group is 46.86. It can be concluded that Inductive Method is more effective than Deductive Method to teach English grammar.
On Recovering Latent Factors From Sampling And Firing Graph

Consider a set of latent factors whose observable effect of activation is caught on a measure space that appears as a grid of bits tacking value in $\{0, 1 \}$. This paper intend to deliver a theoretical and practical answer to the question: Given that we have access to a perfect indicator of the activation of latent factors that label a finite dataset of grid's activity, can we imagine a procedure to build a generic identificator of factor's activations ?
ANALYSIS AND COMPARISON OF METHODS FOR IMPROVING CONTRAST OF IMAGES

Since the end of the last century, for a number of reasons, digital video cameras have begun to gain widespread popularity.For the sake of increasing demand for video cameras, they reduced the cost price, which significantly affected the quality of video and photos.It is possible to slightly improve the quality using various types of filters: high-frequency, low-frequency, median, etc. and combining them.This allows to highlight the main objects and details in the image and pick up noise or extra details.Due to this, it is possible to improve the quality of video and photos obtained using a video camera, when it is not possible to use the best optical matrix or add brightness using additional light sources.Currently, there is a widespread problem of improving the visual quality of the image for various purposes: finding a moving object, reducing noise, highlighting the object against the background and for other purposes.Also, increasing the contrast of the image can be used by attackers to encrypt secret content and transfer it.Changes to the image can rarely be detected without additional work with the image.But most of the changes are clearly visible on the histogram of the image, which has undergone changes.Despite the fact that a number of algorithms have been proposed for detecting the content encoded in the image, the reliability of the methods when using treatments of various types of images is unsatisfactory.This article provides an overview of literary sources, the authors of which offer two options for obtaining the original image for further revealing hidden content or simply obtaining the original source image using convolutional neural networks of various types, gamma correction, and a high-pass filter; the analysis of the effectiveness of each of the methods and the scope of application of these methods is done.Using the software developed in the Java programming language, an arbitrary image is analyzed from its own image library, histograms are constructed for each of the component image colors, a color image is processed using a highpass filter; image processing by convolutional artificial neural networks of two types is carried out.
Night colorize: fully convolutional colorization network for low-light images

An end-to-end network is proposed for low-light images natural colorization using a deep fully convolutional architecture. The network consists of a downsampling sub-network and an upsampling sub-network. The downsampling component extracts the high-level features of the input images, while the upsampling component transforms the high-level features to color. A skip connection is used to transmit low layer information to the deep layer so as to improve the colorization accuracy. Gamma correction and random noise augmentation are used to improve the network adaptability to low-light images. The trained model can naturally colorize low-light images without any reference image or artificial scribbles.
MACRO COHERENCE LEVEL ON STUDENTS’ SCIENTIFIC PAPER

Purposely contemplating at seventh semester students of English Education Study Progam, it is perceived that students exhibit a lack of skills in use of rhetoric, predominantly making errors in the use of words and phrases, directly translating words from Bahasa Indonesia to English – interlanguage error – and organizing their written text inadequately. Moreover, it is discovered that the viewpoints of the students frequently shift. To address this, this current study aims at investigating students’ macro-level coherence in their academic writing (henceforth; background of the study of a research proposal). A content analysis is applied including documents. Additionally, a descriptive analysis design is used to guide this study. There are six research proposals investigated to gain the data of this study. These proposals are taken purposively sampled from proposals submission from early 2018 intake. There are two main frameworks in this study. Firstly, the academic writing guidance book is used to analyze the rhetoric/organization of the paper. Secondly, the coherence analysis is applied to evaluate students’ coherence level. Analysis of findings shows that students encounter some problems in the coherence of English research proposal writing. Hence, it is argued that close attention should be paid to the refinement and suitable tutoring of coherence in the teaching of academic English writing
Rekomendasi Penentuan Target Pemasangan Iklan Facebook Ads Menggunakan Metode SAW

In determining the interest of potential customers on Facebook, so far there are no tools and basic benchmarks as indicators that can be used as a reference for them to determine the target of online advertising. There is also no tool found in the form of software in the form of a decision support system that can help business people to process data and make decisions.&#x0D; The purpose of this study was to create a decision support system software for determining Facebook ads using the SAW method, with 6 criteria, namely the preferred page, likes, comments, shared, redeemed ads, ads clicked.&#x0D; The results of calculations using the system as well as those that have been manually calculated indicate that recreation is the best interest because it is based on a value of 14.60, with a percentage of suitability of 100%. So that the designed system can be used as a decision-making tool.
Spontaneous Absorption, Einsteins Rate Equation Approximation and Zero Point Energy

Einstein's derivation of Planck's black body energy distribution law has been examined with the inclusion of the process of spontaneous absorption.It has been shown that the inclusion of the term of spontaneous absorption does not affect the distribution law but leads to an equation which was derived by Max Plank in 1911.The idea of relating spontaneous absorption to zero point energy is discussed in its historical prelude.We have observed that in the steady state temperature T, inclusion of the term of spontaneous absorption with some arbitrarily chosen value of transition probability results in the same distribution law for the black body as derived by Einstein in 1917, plus an additional term which points to the universal, uniform, all-pervasive phenomenon of zero point energy.The physics of zero point energy is well known but the zero point energy that originates from the term of spontaneous absorption is completely new.It is reasonable to believe that spontaneous is non-zero for a ground state which is not perfectly vacuum.
About three-dimensional procedure virtual spaces

In modern realities, procedural content generation is one of the most popular and promising areas in the game development environment. Nowadays, a well-executed and well-designed procedural generation algorithm can take on most of the work of creating unique content during game development, or during the game itself. Using procedural generation, you can quickly create a set of unique objects. There is a wide variety of various procedural generation algorithms, each of which has its pros and cons, and is best suited to a specific type of task. This article focuses on algorithms that can be used to create a three-dimensional game level, which will significantly reduce the time for creation of such levels, and will also increase the uniqueness of each generated level. As an example, in the text of the article, five existing algorithms of procedural generation are described, which in one way or another makes it possible to generate a three-dimensional game level. The ultimate goal was to find the optimal procedural generation algorithm that will satisfy the main selection criterion – the creation of a full-fledged game level with landscape and objects, which does not need further refinement. At the moment, there aren’t many games that successfully use procedural generation algorithms to create a full-fledged three-dimensional game world – the most famous games are Minecraft, No Man’s Sky and Deep Rock Galactic. The final result of the study was to find the most acceptable procedural generation algorithm with which it is possible to generate unique game levels in real time. The main requirement for an algorithm was the lack of the need for further work with a created level, because the use of this algorithm is planned primarily for a variety of gameplay and creation of a larger element of randomness. As a result, the best one was the algorithm for dividing a level into sectors, due to the fulfillment of the main condition, as well as the possibility of programming several conditions.
Peningkatan Kompetensi Menulis Teks Cerita Sejarah dengan Metode Team Games Tournament (TGT) Siswa Kelas XII IPS 3 SMAN 3 Selong

The implementation of team games tournamentâ€™s (TGT) type in increasing students competence in writing historical text story of Indonesian language with the aim to know the students competece in writing historical text story in XII IPS 3 class of SMAN 3 Selong. The researcher uses the action class research. The data collection is observation and test then use qualitative and quantitative descriftive analysis. The research is applied in two periods. The first period, there were nine students who got high value, seven students who got medium, and ten students who got low. So, in the first period only got 61,5%. It means that the researcher should do the next step. Meanwhile, in the second period, there were twenty students who got high value, four students who got medium, and two students who got low. So, the research in the second period by using cooperative learning team games tournamentâ€™s type in arranging travel text got the target that is 88,4%. The results indicated that TGT could develop the students competence in writing historical text story in Indonesia language lesson. Key words : Kooperatif Learning; Team Games Tournament; dan Historical Text Story
IMPLEMENTASI ALGORITMA C4.5 UNTUK PENGOLAHAN DATA HUTAN LINDUNG (STUDI KASUS: DINAS KEHUTANAN SUMATERA UTARA)

Data Mining is an information discovery by extracting information patterns that contain trend searches in a very large amount of data and assist the process of storing data in making a decision in the future. In determining the pattern classification techniques are done collecting records (Training set).Forests are a very important role for national and state development. Because forests can provide maximum benefits. However, the current situation of Protected Forest has experienced a drastic reduction in area, for that reason utilizing Protected Forest data can produce information about Protected Forest that is a priority and which is not a priority to be reforested or handled first so that the forest function is correct in its use.C4.5 algorithm or commonly known as the decision tree method can provide rule data information to describe the processes associated with processing protected forest data. The characteristics of the classified data can be obtained clearly, both in the form of decision tree structures and in the form of rules. So that in the testing phase with Tanagra 1.4 software can assist in processing valid Protection Forest data.Keywords: Data Mining, Protection Forest, C4.5 Algorithm, Tanagra Version 1.4