Reviewerly/exHarmony huggingface dataset:
Psikologis Tokoh Iwan dalam Novel Kiai Ibrahim & Kerukunan Umat Beragama Karya Iwan Mucipto

This study discusses the elements of psychological personages Iwan in the novel "Kiai Ibrahim & Religious Harmony" by Iwan Mucipto with qualitative, descriptive methods of analysis.In addition to strengthening the analysis, the author uses the content analysis techniques.This research aims to gain the psychological element of notable Iwan (Iwan Untoro and Iwan Muliyono) that was used by the author based on the dominant theoretical approach to the psychology of Sigmund Freud (id, ego, and superego).The results of this research are dominated by the ego of both figures Iwan.Means the author gives personality to the character more as intermediaries between Iwan needs instinctive and the State of the environment.
Social Mobility of High-Quality S&T Human Resources in Universities - Case study: Vietnam National University, Hanoi and Vietnam National University, Ho Chi Minh City

In the context of all countries are moving towards a dynamic and developed economy, it would be impossible not to mention the "labor factor". Obviously, this is an influential factor because the higher quality of labor resources will result in a more conveinent and easier economic development process and vice versa. However, the social mobilization of labor resources, especially high-quality S&amp;T human resources, has become a tough reality. This phenomenon has become more and more popular and complicated within organizations and countries. There are many manifestations of the social mobility phenomenon of high quality S&amp;T human resources, but in this article, the authors focus on two social mobility flows which are social mobility with migration, also known as "brain drain" and social mobility without migration – "internal brain drain". The authors conducted a survey on the current status of social mobility of high-quality S&amp;T human resources in two national universities of Vietnam: Vietnam National University, Hanoi and Vietnam National University, Ho Chi Minh City in order to recognize the highlights and trends of this phenomenon. From that, the authors set out a number of policy suggestions to minimize the negative impacts from social mobility and to improve the efficiency of using high-quality S&amp;T human resources in Vietnam universities today.
Implementasi untuk Meningkatkan Keamanan Jaringan Menggunakan Deep Packet Inspection pada Software Defined Networks

&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Today, Software Defined Network (SDN) has been globally recognized as a new technology for network architecture. But, there is still lack in security. Many studies use methods such as the Intrusion Prevention System (IPS) and Intrusion Detection System (IDS) to deal with social problems. But there is still a lack of security in terms of network performance. To solve the problem, can be used Deep Packet Inspection method (DPII) which make administrators can directly know what happens to traffic in real time. In this research, DPI will be implemented as security method and tested with Denial of Service (DoS) attack with Direct Attack. The results of testing on SDN networks that have been added DPI can perform packet detection such as IDS and blocking such as IPS with good performance time in overcoming attack.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;SDN, DPI, DoS attack, Direct Attack, performance&lt;/p&gt;
SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PADA IKAN HIAS AIR TAWAR DENGAN FUZZY INFERENCE SYSTEM

One of the main causes of failure in aquaculture activities is due to disease factors. The emergence of disease disorders in fish farming is a biological risk that must always be anticipated. The emergence of diseases in fish is generally the result of complex / unbalanced interactions between the three components in the aquatic ecosystem, namely weak hosts (fish), malignant pathogens and deteriorating environmental quality. Fish cultivators must obtain fast information related to diseases that infect their fish, and how to deal with them. In this study an expert system was created to diagnose ornamental fish disease using the media website, so that it can be used at any time without having to see a doctor / expert. Knowledge base involves 23 symptoms and 5 diseases that are common in freshwater ornamental fish, using a decision table producing 20 Rule. The inference process uses the Tsukamoto fuzzy, the modeling has 23 input variables and 1 output variable. Each input variable has 3 sets and the output variable has 5 sets. The implementation results indicate that the system built can provide diagnostic results with an 85% accuracy rate.
Segmentasi Dan Klasifikasi Perilaku Pembayaran Pelanggan Pada Perusahaan Multimedia Dengan Algoritma K-Means Dan C4.5

A service provider company often have problem with insolvent customer. As a company that can not verify customer financial, a service provider company is having difficulty on identifying solvent customer. As one of the service provider company in Jakarta which offer internet connectivity and cable TV service, identifying solvent customer is important because, every customer inside coverage area is a potential customer to subscribe their product. In a related research, algorithm C4.5 become one of the favorite algorithm to use in classifying customer insolvency, and was able to produce high accuracy model, and easy to understand. The major problem of algorithm C4.5 is attribute selection. As noted that a service provider company cannot verify customer financial, they have no data about customer financial which is one important attribute in credit scoring. Therefore, customer payment behavior will be extracted as customer potential as one of classification attribute. Feature extraction with k-means was able to improve the accuracy of the algorithm C4.5. As noted by improve on accuracy from 59.02% to 77.31% and AUC from 0.537 to 0.836. The customer potential attribute can also be used as reference in the promotion, retention, and managing insolvent customer.
The Analysis and Teaching-Learning Contents of ‘i/ka’, ‘eun/neun’ : Based on Dialogues of Korean Textbooks.

This study analyzes uses of ‘i/ka’, ‘eun/neun’ in dialogues of Korean textbooks and suggests contents for explicit teaching-learning. In most Korean textbooks, ‘i/ka’ and ‘eun/neun’ have been taught implicitly by understanding and practicing dialogues. However this method is not efficient because there are many cases where the two grammatical items are not exclusively realized, and in that case the degree of appropriateness differs according to the context, or the meaning of the sentence varies greatly. Therefore, whenever a new usage of ‘i/ka’, ‘eun/neun’ is presented in the dialogue, it is necessary to compare and analyze the previous learning contents and explicitly teach the usage according to the context. As one of the goals of elementary grammar learning is to learn the basic sentence structure, this study analyzed the usage context of ‘i/ka’, ‘eun/neun’ in terms of predicates and sentence structure. As an outcome, the contents for explicit teaching-learning are presented.
Kreitzberg Library: Integrate Online Library Resources into NUoodle: Creating Article Links

Learn how to create links to licensed electronic resources and find open educational content How to create article permalinks by database.
Multi-Label Bias-Based Predictor

A recommender system predicts the future preference of a set of items for a user by computing the similarity between users or items, and recommends the top items based on the prediction. Collaborative filtering, the most popular approach to build recommender systems, has been successfully employed in many commercial and non-commercial applications but has reached the limit of performance growth. A novel way to predict user preferences is needed to overcome this problem. Bias-based predictor (BBP) is a prediction model for recommender systems that assumes that bias and preference are highly correlated. In predictive models, bias generally means the intercept where our line intercepts the y-axis, offsetting all predictions we make. Users’ preference ratings are likely to be influenced by biases in many different aspects. This implies that bias can play more significant roles in preference prediction, rather than simply intercepting the y-axis. This paper proposes a prediction model for recommender systems that takes into account bias in multiple aspects. The proposed model called multi-label bias-based predictor (MLBBP) extends the conventional BBP to allow for a more in-depth analysis of bias. Through experiments with movie data, it was demonstrated that MLBBP performs better than BBP. The trained MLBPP model produces numerical data that can explain why a specific item is recommended to a user.
Comparison of distinct features observed in Class Critique between pre-service and in-service teachers

한국에서의 수업 비평은 근대적 교육관이나 객관주의적 수업 설계의 관행에 기반 한 수업 관찰, 실천 관행을 개선하고 새로운 수업 실천을 모색하기 위한 관찰법과 연구방법으로서 자리매김하고 있다. 본 연구는 수업 비평의 산출물 중 하나인 수업 비평문에 대해서 관심을 가진다. 수업 비평문에는 수업 비평자의 관점, 관찰한 수업에 대한 상세한 묘사, 수업에 대한 비평자의 해석과 평가, 그리고 현장 교사가 수업 비평문을 작성하는 경우 자신의 수업에 대한 반성과 성찰 등의 정보가 담기는 것이 보통이다. 또 연구의 관점에서 보면 수업 비평문에는 수업 관찰자의 수업에 대한 안목이 녹아 있기 때문에 예비 교사, 초임 교사, 경력 교사 등 교사의 경력이나 교과 영역에 따라서 수업 비평문에 어떤 공통점과 차이점이 있는지를 분석함으로써 교사 변인에 따라서 수업 비평적 안목이 어떻게 달라지는지를 분석할 수도 있다. 본 연구는 두 그룹(예비교사, 경력교사)의 서로 다른 두 집단이 쓴 수업 비평문을 분석하여 그 공통점과 차이를 드러내고 이를 바탕으로 수업 비평 활동이 수업 전문성 신장에 지니는 함의를 끌어내고자 한다. 두 집단의 수업 비평문을 NVivo 10을 활용하여 개념화, 범주화 하였고, ‘글쓰기 형식’, ‘주목하는 수업 현상’, ‘분석 및 평가’, ‘관찰 관점의 주체’, ‘성찰’의 다섯 가지 범주가 추출되어 두 그룹의 특징 및 차이점을 도출하였다. 이후 수업 비평 활동이 <수업전문성 신장>에 지니는 함의를 끌어내고자 교사수업을 관찰하는 안목의 변화, 수업비평의 교육적 기능, 수업 비평 글쓰기에 대하여 논의하였다.Class critique is recognized in South Korea as a method for class observation and research to improve conventional class observation and instructional practices based on modern views on education and objective instructional design as well as to seek new instructional practices. The study takes interest in class critique texts, one type of output of class critique. These texts usually represent the connoisseurship of those who write class critiques, detailed description of the observed classes, their interpretation and evaluation of the classes, and their reflection and contemplation on the classes in the case of writing of critiques by in-service teachers on their own classes. From the perspective of research, these texts reflect the connoisseurship of class observers on the classes, and thus enables the analysis of the similarities and differences among pre-service teachers, newly appointed teachers, and in-service teachers as well as among those who deal with different subjects, showing the variations based on diversified factors. The study is intended to analyze class critiques written by two groups (pre-service teachers, in-service teachers), figure out their similarities and differences, and draw the implications of class critique activities on professional development in teaching. NVivo 10 is used to conceptualize and categorize class critiques of the two groups, leading to the creation of five categories such as‘writing format,’‘distinctive class phenomena,’‘analysis and assessment,’‘main subject in class observation’and‘reflection,’as well as major features of and differences between the two groups. Discussion was then made on the changes of connoisseurship on class observation, educational functions of class critique, and writing of class critiques, to elicit the implications of class critique activities on professional development in teaching.
Partial-duplicate image retrieval using spatial and visual contextual clues

The traditional bag-of-visual-words (BOW) model quantifies the local features to the visual words to achieve efficient content-based image retrieval. However, since it causes considerable quantisation error and ignores the spatial relationships between visual words, the accuracy of partial-duplicate image retrieval based on BOW model is limited. In order to reduce the quantisation error and improve the discriminability of visual words, many partial-duplicate image retrieval methods have been proposed, which make use of the advantages of the geometric clues between visual words. In this paper, we propose a novel partial-duplicate scheme by using both spatial and visual contextual clues for removing the false matches effectively, which not only encodes the relationships of orientation, distance and dominant orientation between the referential visual word and its context, but also takes the colour information between visual words into consideration. Experimental results reveal that our proposed algorithm achieves superior performance to the state-of-the-art methods for partial-duplicate image retrieval.
Kulumi- The diary app

The Diary App is a web application which user can write everyday activities, thoughts, and feelings, take selfies in each episode of their life story and make memories with their friends that will last for a lifetime. By this application the user can attach images, video, audio, and important messages can be starred and can be viewed. The data user composed is securely stored in a database the privacy is in handoff the user. There is a search box by which we can specifically filter out the required information according to the date so that the user can view the date’s activity easily. There is also another feature by which a user can share his/her memories globally so that other users can see the shared event.
Decision Support System For Selecting Bali Tourist Attractions Using The PROMETHEE Method

Tourism is currently very potential to be developed as a source of local income by providing information both online and offline to the community so that regional income increases. Bali is one of the tourist destinations in Indonesia which is visited by many local and foreign tourists. The island of Bali has many interesting sights consisting of natural attractions, royal festivals, culinary tours, traditional markets, and museums. There are many criteria that must be considered, so through this recommendation system, tourists can find out what places are in Bali they will visit. One of the problems of decision making with many criteria and attributes in the selection of attractions is to provide detailed decisions that refer to the scale of weight possessed. Decision support systems provide priority results of attractions that are suitable for every traveler. Traveling is very important because with tourism we can eliminate fatigue due to activity during the day. The selection of the right tourist attraction also affects this, so it is necessary to choose the right tourist attraction. This study focused on the application of multi-attribute decision making (MADM) to decision support systems (SPK) using preferred organizational methods for enrichment and evaluation (Promeethe). When a traveler fills out a questionnaire, he must be consistent with the answers to get the best results based on his willingness and characteristics. This research uses descriptive analysis method that presents a summary of the results of surveys and interviews of tourists who want to choose Bali tourist attractions according to costs, security, natural beauty, facilities, and infrastructure and location.
Bioremediation Potential of Pseudomonas aeruginosa KX828570 on Crude Oil Spill Polluted Marshland and Terrestrial Soil Treated with Oil Spill Dispersant

Aim: To investigate bioremediation potentiality of Pseudomonas aeruginosa KX828570 on crude oil Polluted Marshland and Terrestrial Soil treated with oil spill dispersant&#x0D; Study Design: The study employs experimental design, statistical analysis of data and interpretation.&#x0D; Place and Duration of the Study: Soil samples were collected from K-Dere, Gokana L.G.A, and were transported to the Microbiology Laboratory of Rivers State University, Port Harcourt, Nigeria for analyses while Oil spill dispersant (OSD/LT and OSD/Seacare) were from Barker and Hughes Nig Ltd (formally mil park Nigeria limited), all in Rivers state, Nigeria. This investigation study lasted for 28 days and sampling was done every 7day period.&#x0D; Methodology: Eight experimental set up were carried out using Pseudomonas aeruginosa KX828570 as the bio-augmenting organism in terrestrial and marshland soil contaminated with two Oil spill dispersant (OSD/LT and OSD/Seacare) separately. Controls for the two soil types were made without organism and treatment. Its bioremediation potential on the pollutants and two types of soil were monitored for 28 days. The setup was tilled twice a week to provide moisture and more oxygen for the organisms to thrive. Analysis of pH, Temperature, Moisture content, Total Hydrocarbon Content, Total Heterotrophic Bacteria, Dispersant Utilizing Bacteria was carried out at weekly intervals.&#x0D; Results: The pH of both soils ranged from 5.75 to 7.37; temperature from 270C to 340C; moisture content 03 to 0.6 across the soil samples. Total Hydrocarbon Content (THC) showed a steady decline from day 1 – 28. The percentage (%) bioremediation rates of polluted soils were as follows: Terrestrial soil+OSD/Seacare+Pseudomonas aeruginosa KX828570 69.4% &gt; Terrestrial soil+OSD/LT+ Pseudomonas aeruginosa KX828570 65.9% &gt; Marshland soil+OSD/Seacare+ Pseudomonas aeruginosa KX828570 52.6% &gt; Marshland soil+OSD/Seacare+ Pseudomonas aeruginosa KX828570 47.6%. Dispersant utilizing bacterial count in marshland and terrestrial soil ranged from 6.013 to 7.338 log10Cfu/g and 6.045 to 7.301 log10Cfu/g respectively from Day 1 to 28.&#x0D; Conclusion: From the investigation, it revealed that Oil spill dispersants are more degradable in terrestrial soil than marshland soil. OSD/Seacare is more biodegradable than OSD/LT in both terrestrial and marshland soil augmented with Pseudomonas aeruginosa KX828570. Thus, Pseudomonas aeruginosa KX828570 have been found to be a potential bioremediation agent in oil spill dispersant polluted marshland and terrestrial soil.
Link prediction using multi part embeddings

This work has been supported by the TOMOE project funded by Fujitsu Laboratories Ltd., Japan and Insight Centre for Data Analytics at National Universityof Ireland Galway, Ireland (supported by the Science Foundation Ireland grant12/RC/2289). The GPU card used in our experiments is granted to us by theNvidia GPU Grant Program.
Coherent manipulation of three spin qubits in a GdW 30 single-ion magnet

APS March Meeting, Boston, MA, March 4-8, 2019. -- https://www.aps.org/meetings/meeting.cfm?name=MAR19
Classifying Unbalanced Datasets Using Iterative Fuzzy Support Vector Machine

In real world applications, training the classifier using unbalanced dataset is the major problem, as it decreases the performance of Machine Learning algorithms.Unbalanced dataset can be prominently classified based on Support Vector Machine (SVM) which uses Kernel technique to find decision boundary.High Dimensionality and uneven distribution of data has a significant impact on the decision boundary.By employing Feature selection (FS) high dimensionality of data can be solved by selecting prominent features.It is usually applied as a pre-processing step in both soft computing and machine learning tasks.FS is employed in different applications with a variety of purposes: to overcome the curse of dimensionality, to speed up the classification model construction, to help unravel and interpret the innate structure of data sets, to streamline data collection when the measurement cost of attributes are considered and to remove irrelevant and redundant features thus improving classification performance.Hence, in this paper, two different FS approaches has been proposed namely Fuzzy Rough set based FS and Fuzzy Soft set based FS.After FS the reduced dataset has been given to the proposed Iterative Fuzzy Support Vector Machine (IFSVM) for classification which has considered two different membership functions.The Experiments has been carried out on four different data sets namely Thyroid, Breast Cancer, Thoracic surgery, and Heart Disease.The results shown that the classification accuracy is better for Fuzzy Rough set based FS when compared other.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE THREE STAY ONE STRAY ( TSOS ) UNTUK MENINGKATKAN HASIL BELAJAR IPA SISWA KELAS IV SD NEGERI 023 PULAU KIJANG KECAMATAN RETEH

The purpose of this study was to improve student learning outcomes by applying the Type Three Stay One Stray (TSOS) Cooperative Learning Model. This research was conducted at 023 Public Primary School Pulau Kijang, Reteh District. This research is a classroom action research which consists of two cycles. Each cycle consists of action planning, action, observation and reflection. The results of the study show, seen from the initial data, students who completed as many as 6 people with a class average of 65. In the first cycle, there was an increase of an average of 71.3 and in the second cycle there was an increase with a class average of 86.4. Then there is an overall increase from the basic score to the second cycle of 21.4. while the number of students who completed in the first cycle were 9 people with a percentage of 64.2%, in the second cycle as many as 12 people with a percentage of 85.7%. the increase in the percentage of completeness from the basic score to the second cycle was 42.9%.
Pengelolaan lembaga kearsipan di kantor surat kabar berita pagi Palembang

This article discusses the management of archival institutions in the Palembang morning news paper office.The purpose of this paper is to find out the position of the structural side of the archive processing unit, and the archive management system and archive storage system at the Palembang Morning News Office.Data was obtained through direct observation of interviews with archival processing staff at the Palembang Morning News Office.The office implements a decentralized system which means that in each work unit it stores archives in their respective fields.And the conclusion in the Morning News Agency in Palembang was that there was no archival processing unit specifically processing the archives in the office, but they processed the archives in their respective work divisions in the office itself, while processing the archives themselves directly in their respective divisions.As well as archive storage managed through a date system.