Reviewerly/exHarmony huggingface dataset:
Sentiment Analysis on Emina Cheeklit Pressed Blush User Review Using the Naive Bayes Method

Sociolla is one of the platforms used to channel opinions and discuss various issues related to beauty. One of them is discussing about beauty products. One of the products discussed was Emina Cheeklit Pressed Blush. Sentiment analysis is a way to compare the opinions of many people. This study aims to determine the sentiments that occur in every comment about Emina Cheeklit Pressed Blush on the Sociolla platform. Sentiments used will be divided into 2 classes, positive and negative and use the Naive Bayes Classifier as the algorithm. The research results obtained an accuracy of 77.69%.
Desain dan Analisa Pengklasifikasian Data Wajah Menggunakan Metode Incremental Radial Basis Function dengan Modifikasi Unit Hidden

This study implemented the improvement of the network learning method, that is, the development of the Incremental Radial Basis Function (IRBF) network with the data used in this study was facial data. The classification of data on facial data was strongly influenced by the characteristics of the data, so that it affected the success of data recognition. This study showed that the percentage of learning success using the Radial Basis Function method, the learning data succeeded in identifying the classification of facial data with an average trial result of 99.45%. The identification of facial data learning with Incremental Radial Basis Function Development was 99.45% on learning data. In addition, the data for testing trials gained an increase in data with the average test results from 89.44% in the RBF method to 90.55% in the Modified Gaussian Incremental Radial Basis Function (MGIRBF) method. The method of developing the Incremental Radial Basis Function with a modified gaussian in this research was applied as a development after applying the Radial Basis Function method by prioritizing optimization by applying the characteristics of the Incremental Radial Basis Function method.
ANALISIS MANAJEMEN RISIKO SISTEM INFORMASI BALAI PENGKAJIAN TEKNOLOGI PERTANIAN LAMPUNG MENGGUNAKAN METODE NIST SP 800-30

Balai Pengkajian Teknologi Pertanian Lampung (eng. Institute for Agricultural Technology Assessment) also known as BPTP Lampung is one of the government agencies that need information systems in the management, selection, storage, and information dissemination. The application of information systems raises several risks that can disrupt activities and disadvantage in material/time for BPTP Lampung. The purpose of this research is to analyze the risk management information system of BPTP Lampung and find out the factors that affect risk occur by using NIST SP 800-30 method. The risk management information system of BPTP Lampung is implemented to anticipate the threat of risk with several stages are risk assessment, risk mitigation, and risk evaluation. There are 10 (ten) associated risks from research results, namely less communicative language, no backup of research data, no update data, multiple tasks and obligations, human error, internet access, error system, fires, natural disasters (thunderstorms, floods, earthquakes, etc.) and blackout. At a high level of risk is a less communicative language from research results by the researcher of BPTP Lampung and multiple tasks and obligations from the management of information system BPTP Lampung. The final result from the risk management of information system BPTP Lampung is a recommendation given to reduce the impact of risks that occur.
MULTI CRITERIA DECISION BASED RANKED DISCOVERY FRAMEWORK FOR IoT RESOURCESN

The growth rate of Internet of Things (IoT) ecosystem has led to an enormous pool of heterogeneous IoT resources with similar capabilities.Providing the right IoT resource at the right time is an indispensible requirement for user application performance.In this paper, we propose a framework for returning the most pertinent IoT resource based on ranking, as the user query response.Proposed Multi Criteria Decision making framework computes the weights of the various criteria based on fuzzy logic user preference and entropy based objective weight.This computed weights for the criteria are applied on approach Technique for Order Preference by Similarity to Ideal solution (TOPSIS).Effectiveness of the proposed approach is compared with current state of work.Also real time testbed experiment based study is carried out to demonstrate the effectiveness and robustness of proposed approach.
A Study on the Productivity Test of Strategic Alliance and R&amp;D Innovation for the Globalization of Korean Companies

Purpose - This paper aims to test the differences in the productivity of Korean companies according to whether they pursue strategic alliances as an open innovation strategy and implement R&D investment. Design/Methodology/Approach - We estimated labor productivity and total factor productivity using data from 2006 to 2018 from the Corporate Activity Survey of Statistics Korea. We tested the difference in productivity by utilizing the Kolmogorov-Smirnov test as non-parametric test method. Findings - As result of the test, firstly the productivity of companies that promoted strategic alliance was higher on average. Secondly, the productivity of Korean companies with experience implementing R&D investment with strategic alliances was higher on average than those of firms without experience in implementing strategic alliances and R&D. In addition, companies that invested in R&D intensively along with strategic alliances had higher productivity on average than companies that did not. Research Implications - These results suggest that a company s R&D performance along with a strategic alliance acts as means to increase productivity by producing and accumulating knowledge inside the company and absorbing external knowledge. In this regard, policy efforts are needed to reduce uncertainty in external environmental changes as well as at a global level, and to promote diverse cooperation for global strategies and the R&D investment of Korean companies.
IMPLEMENTASI DUA MODEL CROSSOVER PADA ALGORITMA GENETIKA UNTUK OPTIMASI PENGGUNAAN RUANG PERKULIAHAN

The lecture mapping process is often hampered by the number and capacity of rooms, this condition often occurs because of the many obstacles that must be fulfilled. For example, there are courses offered in one semester that cannot be slots in space and time and the lecturer can teach at the same time for different courses. This is experienced by the Informatics Engineering Study Program of the Faculty of Mathematics and Natural Sciences, Udayana University, which offers a fairly large subject in each semester, causing optimization of the lecture space to often experience problems. The Genetic Algorithm (GA) is a model in the optimization of lecture space based on the natural selection mechanism through; coding problem, generate initial population, calculate fitness value, selection, crossover, mutation and optimal population. In this research, the optimization process implements two crossover models in the genetic algorithm, namely the n-point crossover and the cycle crossover. Based on the research that has been carried out, two crossover models provide optimal space usage mapping. From testing the n-point crossover model system gives the best fitness 1 in the 361 generation with a computation time of 11.08 while the cycle crossover model produces the best fitness 1 in the 361 generation with a computation time of 15.08.
Difficulty in Distance Learning at the High Basic Level in Light of the Corona Pandemic in Directorate of Education/ Bani Kenana Metropolitan as perceived by students: الصعوبات التي تواجه طلبة المرحلة الأساسية العليا في التّعلُّم الإلكتروني عن بُعد في ظل جائحة كورونا من وجهة نظر الطلبة في تربية بني كنانة في الأردن

The purpose of this study was to identify the difficulty of distance learning at the High Basic Level According to the Gender and Class Variables in Light of the Corona Pandemic in Directorate of Education/ Bani Kenana Metropolitan as perceived by students. To achieve this, the researcher used the descriptive analytical approach by constructing a questionnaire which consists of (37) items, that consisted of two main areas, which are difficulty to technical technologies and infrastructure for remote e-learning, and between the level of student interaction for e-learning via the google docs, due to the difficulty of reaching school students due to the Corona pandemic. The results revealed that there were no statistically significant differences at the level of significance (α≤0.05) between the estimates of the study sample individuals. There were no statistically significant differences at the level of significance (α≤0.05) between the estimates of the study sample individuals for the difficulty of technical technologies and the e-learning infrastructure distance, and the level of student interaction for e-learning via distance. In addition to the absence of statistically significant differences at the level of significance (α≤0.05) between the study sample’s estimates of the difficulty to distance learning at the high basic level according to the gender and class variables in Light of the Corona Pandemic in Directorate of Education/ Bani Kenana Metropolitan as perceived by students, the study recommended improving the work of the Darsak platform in cooperation with teachers from within the field, and conducting studies on continuity of work through learning and e-learning from a distance and that each school has its own platform.
Strategi Dalam Meningkatan Pendidikan Wajib Belajar 12 Tahun di Kabupaten Demak

This study aims to examine strategies in improving the 12 year compulsory education. This research was conducted to obtain information related to government support in the implementation of 12 year compulsory education in Demak district. This includes understanding the factors that cause children to drop out of school from internal factors and external factors. Internal factors are due to the lack of family income and the low level of parental education. External factors are caused by environmental factors. Based on the descriptive qualitative approach this research was carried out in Demak Regency. Data collection was carried out through observation and literature study. The results showed that government support for the implementation of the 12 year compulsory education in Demak Regency with the provision of "let's go back to school" starting from primary education to senior secondary education is given to economically disadvantaged students in order to increase student participation in school.
Diathesis Deconstruction in Efforts to Differentiate Titles in Scientific Article Manuscripts

This study attempts to describe the descriptive deconstruction of the title of a scientific article whose text is derived from the conversion of research reports. The method used in this study is a qualitative method using a propositional analysis model. Proposition analysis is an analytical model that seeks to dissect the structure of the language based on the structure outside the language. Therefore, this field of study is included in the field of psycholinguistic studies because it raises language problems based on human psychological elements. In this study, it is known that research reports and scientific articles have different reader objectives. Each has a different motive of interest. Research reports have expository motifs with specific audiences, such as leaders or related stakeholders. For this reason, the description and presentation are detailed and detailed. While scientific articles emphasize the informative side with the general target audience; academics, experts, and society in general. Because of this difference, the use of titles needs to be distinguished even though they have the same essence. This is because, by selecting the appropriate title, it is expected to increase the visitation and readability of the scientific article. One of the efforts that can be done is to diathesis deconstruct the research title. This diathesis deconstruction is based on a propositional analysis that looks at the structure of the proposition, the meaning of the predicator, and the role of the argument in the research title, which is then deconstructed by considering the construction of the previous diathesis.
Text Document Clustering with Negative Noun Attributes

High-dimensional feature space is the biggest challenge for all its mining duties.People who used automatic document representation methods based on statistics and information theory had dealt with the issue of high dimensions.The efficiency of HCL K-Means clustering and clustering with Flocking algorithm was analysed in this article with noun characteristics chosen by chi-square and CHIR techniques with positive and negative noun characteristics.It was noted that the clustering efficiency rises with the noun attributes with favourable noun characteristics selected by the CHIR techniques.
Regression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System

Image quality, resolution and scanning time are critical in digital pathology. In order to create a high-resolution digital image, the scanner systems execute stitching algorithms to the digitized images. Due to the heterogeneity of the tissue sample, complex optical path, non-acceptable sample quality or rapid stage movement, the intensities on pictures can be uneven. The evincible and visible intensity distortions can have negative effect on diagnosis and quantitative analysis. Utilizing the common areas of the neighboring field-of-views, we can estimate compensations to eliminate the inhomogeneities. We implemented and validated five different approaches for compensating output images created with an area scanner system. The proposed methods are based on traditional methods such as adaptive histogram matching, regression-based corrections and state-of-the art methods like the background and shading correction (BaSiC) method. The proposed compensation methods are suitable for both brightfield and fluorescent images, and robust enough against dust, bubbles, and optical aberrations. The proposed methods are able to correct not only the fixed-pattern artefacts but the stochastic uneven illumination along the neighboring or above field-of-views utilizing iterative approaches and multi-focal compensations.
UMN Site Traffic Prediction using Technical Method

The Marketing division of Universitas Multimedia Nusantara has a role in attracting prospective students to join and continue their next level of education. To help their task, the Marketing division needs an application that can predict the site traffic profile visits for the next following day. Therefore, a website-based application was created to assist the Marketing division. We used the Weighted Moving Average algorithm to calculate the number of subsequent visitors and its future prediction number. We also used the Weighted Mean Absolute Percentage Error after getting the prediction results to get the error rate of a prediction made. In the implementation process that has been done, the percentage error is 2.57%. The built application also had been evaluated by the UMN Marketing division employees by the means of questionnaires to find out how satisfied the application was.
Modeling climate phenomenon with software grids analysis and display system in the development of the global warming module

This study aims to model climate change based on rainfall, air temperature, pressure, humidity and wind with grADS software and create a global warming module. This research uses 3D model, define, design, and develop. The results of the modeling of the five climate elements consist of the annual average temperature in Indonesia in 2009-2015 which is between 29oC to 30.1oC, the horizontal distribution of the annual average pressure in Indonesia in 2009-2018 is between 800 mBar to 1000 mBar, the horizontal distribution the average annual humidity in Indonesia in 2009 and 2011 ranged between 27-57, in 2012-2015, 2017 and 2018 it ranged between 30-60, during the East Monsoon, the wind circulation moved from northern Indonesia to the southern region Indonesia. During the west monsoon, the wind circulation moves from the southern part of Indonesia to the northern part of Indonesia. The global warming module for SMA/MA produced is feasible to use, this is in accordance with the value given by the validate of 69 which is in the appropriate category and the response of teachers and students through a 91% questionnaire.
A Case Study on Social Media Analytics for Malaysia Budget

Malaysia citizen always looks forward to the budget announcement, which is presented by the government each year.Due to the direct effect on the economy, the citizens' opinions are crucial in understanding what they want and whether the budget satisfies them or not.Social media analytics can gather netizens' opinions on Twitter and conduct sentiment analysis.Most of the corpora in previous sentiment analysis research use English-based corpus.However, the current scenario of tweets in Malaysia uses a combination of English-Malay words.Therefore, this study uses a hybrid of the corpusbased and support vector machine approach.Semantic corpusbased combines the Malay and English words.Then, the domainspecific corpus on Malaysia Budget is constructed, which is budget corpus.Two separate analyses include category classification and sentiment analysis.Overall, most netizens have a positive sentiment about Malaysia's Budget with 56.28% of the tweets being positive sentiments.The majority of the netizens focus on social welfare and education that have the highest tweets.The discussion highlights the suggestion to improve the accuracy of this study.
IDENTIFIKASI PENGGUNAAN MEDIA PEMBELAJARAN DALAM MENGEMBANGKAN KEMAMPUAN BAHASA ANAK USIA 4-5 TAHUN

This study aims to: 1. Identify what learning media are used in developing the language of children aged 4-5 years, 2. To identify what learning media are dominantly used in developing the language of children aged 4-5 years, 3. To identify media What kinds of learning are effectively used in developing the language of children aged 4-5 years. The type of research used was survey research. Methods and data collection in the study were observation, interviews, and documentation. The sample in this study was 20% of the 26 PAUD in Sekarbela District, so that the research sample was obtained as many as 5 PAUD in Sekarbela District. The results of the research and data analysis showed that the learning media used in developing the language of children aged 4-5 years in PAUD Sekarbela District were 29 learning media or as many as 82.9% of 35 learning media which were included in 4 indicator items, and learning media which are dominantly used in developing the language of children aged 4-5 years in PAUD Sekarbela as many as 5 learning media or as much as 14.2% of 35 learning media which are included in 3 indicator items, as well as effective learning media used in developing children's language. 4-5 years in PAUD Sekarbela District as many as 4 learning media or 11.4% of the 35 learning media which are included in 2 indicator items.
ENHANCED COMPUTATION ARCHITECTURE FOR BIG DATA ANALYTICS USING ENCRYPTION ALGORITHM

Big data infrastructure needs to be structured in the most critical aspects and wisely calculate how large data applications are managed in order to achieve the most important security issues required.One of them is privacy is a related feature as users can share more and more personal data and content and public clouds on social networks through their devices and computers.The previous system have some drawbacks, it is not secure the sensitive data storage security of privacy issues in the big data.However, the existing encryption system for data cannot protect the access mode, and it can also leak sensitive information.To overcome the issues in this work proposed the method Transparent Secure Hashing Data Optimized Privacy Protection Encryption (TSHDOPPE) Algorithm for Encryption of data can prevent permission to use the unwanted users' associated data storage system of data.Less storage leakage overhead and efficiency are proposed.It includes stored in a transparent data protected for data at rest and could not leak the Data for data in Transit.Non-relational data storage and protection data storage has been a TSHDOPPE algorithm used to ensure the transaction log.In the data used for stored in cloud computing, managing user data optimizing the Improved Deep Neural Network (IDNN) is reduces difficult and reduces the cost of maintaining data.Unprotected data in Transit or at rest, or vulnerable to attacks, companies are also effective security measures that provide protected data with strong data protection between the device and the network in these conditions.
Family and School Condition Toward Student English Achievement

The school environment is also an inhibiting factor for students. For example, the way the lesson is presented is not good. In addition, there are still many parents who ignore the education of their students. This has an impact on students' low English skills. This study aims to analyze family and school conditions on students' English achievement. This research is a correlational study. The research subjects were all students of the class with 24 students. The method used to collect data is observation, interviews, and questionnaires. The instrument used in data collection is a questionnaire. The technique used to analyze the data is descriptive qualitative statistics, and quantitative. The study results are that family conditions have a positive effect on learning achievement in learning English. This shows that when family conditions improve, student achievement will also increase. Partial test (t-test) obtained t count variable influence of family conditions = 6.607 so that Ha X1 against Y is accepted. Variable influence of school conditions t count = 3.019 so that Ha X2 to Y is accepted. The practical contribution of family conditions is 21.316%, school conditions are 39.678%. The key is that there is a simultaneous influence of family and school conditions on learning English subjects.
DEVELOPMENT OF A COMPETENCY MODEL BASED ON PROFESSIONAL STANDARDS

РАЗРАБОТКА МОДЕЛИ КОМПЕТЕНЦИЙ НА ОСНОВЕ
Peningkatan Prestasi Belajar Bahasa Indonesia Melalui Media Audio Visual

This study aims to determine an increase in Indonesian language learning achievement through Audio Visual media for class IX students of SMP Negeri 10 Cibeber. This study uses audio-visual media in learning Indonesian and is carried out in three cycles. Each cycle consists of four stages, namely planning, implementation, observation, and reflection. The results showed that the lowest score in the first cycle was 62, the highest was 80, the average was 65, the number of students who had completed was 20 and those who had not, were 14 students. In the second cycle, the lowest score was 65, the highest was 87, the average was 73, 28 students who completed and 6 students who had not. In cycle III, the lowest score was 75, the highest was 95, the average was 82, all students completed. These results indicate that learning with the strategy of using audio-visual media is very influential on student learning achievement, therefore it should be developed and implemented in the Indonesian language learning process so that aspects of language learning can be applied in an integrated manner.