Reviewerly/exHarmony huggingface dataset:
Post–Quantum Cryptography – A Primer

Traditionally, information security needed encryption, authentication, key management, non-repudiation and authorization which were being met using several techniques. Standardization of algorithms by National Institute of Standards and Technology (NIST) has facilitated international communication for banking and information transfer using these standards. Encryption can be carried out using Advanced Encryption Standard (AES) using variable block lengths (128, 192 or 256 bits) and variable key lengths (128, 192 or 256 bits). Solutions for light weight applications such as those for Internet of Things (IoT) are also being standardized. Message integrity is possible using host of hash algorithms such as SHA-1, SHA-2 etc., and more recently using SHA-3 algorithm. Authentication is possible using well known Rivest-Shamir-Adleman (RSA) algorithm needing 2048/4096 bit operations. Elliptic Curve Cryptography (ECC) is also quite popular and used in several practical systems such as WhatsApp, Blackberry etc. Key exchange is possible using Diffie-Hellman algorithm and its variations. Digital Signatures can be carried out using RSA algorithm or Elliptic Curve Digital Signature Algorithm (ECDSA) or DSA (Digital Signature Algorithm). All these algorithms derive security from difficulty in solving some mathematical problems such as factorization problem or discrete logarithm problem. Though published literature gives evidence of solving factorization problem upto 768 bits only, it is believed that using Quantum computers, these problems could be solved by the end of this decade. This is due to availability of the pioneering work of Shor and Grover [1]. For factoring an integer of N bits, Shor’s algorithm takes quantum gates. As such, there is ever growing interest in being ready for the next decade with algorithms that may resist attacks in the quantum computer era. NIST has foreseen this need and has invited proposals from researchers all over the world. In the first round, about 66 submissions were received which have been scrutinized for completeness of submissions , novelty of the approach and security and 25 of these were promote to second round to improve based on the comments received on the first round submission. These will be analyzed for security and some will be selected for final recommendation for use by industry. These are for encryption/decryption, key agreement, hashing and Digital Signatures for both hardware and software implementations. In this paper, we present a brief survey of the state of the art in post-Quantum Cryptography (PQC) followed by study of one of technique referred to as Learning With Errors (LWE) in some detail.
IMPROVING THE STUDENT’S READING SKILL TROUGH SQ3R TECHNIQUE IN MTS AL-KHAIRIYAH

Abstract. The objectives of this research is to figure out whether or not the implementation of SQ3R technique can improve reading comprehension of the eighth grade students of Mts Al-Khairiyah in academic year 2018/2019. Therefore, to achieve the objective, the writer conducted a action research. This research was conducted in two cycles where each cycle had 2 sessions. The data were analyzed by comparing the result of pre-test and post-test. The result post- test showed the significant improvement. This research furthermore showed that most of the subjects gave positive response that SQ3R technique was successfully applied in improving the subjects’ reading comprehension. In conclusion, the present classroom action study proved that SQ3R technique could improve reading comprehension of the eighth grade students of Mts Al-Khairiyah in academic year 2018/2019.
Karakteristik Pasien Melanoma Maligna di Subbagian Bedah Onkologi RSUP Sanglah Tahun 2015-2016

Background: Malignant melanoma (MM) is one of the skin malignancies derived from melanocyte cells. It is the most common cause of death, about 75% of all cases of skin cancer. Skin cancer is ranked fourth among the ten most common tumors in Bali.Aim: To know the characteristics of malignant melanoma patients in the sub-section of surgical oncology Sanglah Hospital Year 2015-2016.Method: This study is cross-sectional descriptive research conducted at Sanglah General Hospital in Denpasar. The data obtained in the form of secondary data, patient medical records, as of 2015 till 2016. Data were analyzed using the SPSS program.Result and Conclusion: The results showed that of 11 patients, incidence with the highest proportion of patients with age range 45-59 years number of 4 people (36.3%). The most top gender was women of 6 (54.5%). The highest subtype of Nodular Melanoma (NM) was 7 (63.6%).
Analisis Kapasitas Tampung pada Lahan Basah Sei Kelik Ketapang

Wetlands have a very important role for humans and the environment. The function of wetlands as a support for human life, among others, water sources, a variety of habitats for living things, controlling floods, and drought. One of the wetlands in the Kelik river, Ketapang Regency. This wetland has an area of 2600 ha. The land is now a conservation area, with cultivation rights. The existing problem, namely, the land is the residual combustion that occurred in 2015 and is always flooded with water and the need for an existing drainage system on the land. Land needs to be managed properly in water management. Efforts to manage conservation areas so as not to experience drought, which results in fires, which will threaten land conservations. Methods for dealing with drainage systems by utilizing existing ditches or drains. Drainage design using hydrological and hydraulic studies. The method used in determining the flood discharge plan is based on the need for drainage modulus and the area of the ArcGIS software aid sub-area. The results of the study indicate the need to improve the existing channel. Repair through efforts to deepen the trenches and hold widening or normalization. Also, the depth of the new channel is needed to make an automatic door so that the water can be grounded to maintain the availability of water in the ground.
Hybrid Algorithm to Generate Summary of Documents by Extracting Keywords

In modern times, data is growing rapidly in every domain such as news, social media, banking, education, etc. Due to the excessiveness of data, there is a need of automatic summarizer which will be capable to summarize the data especially textual data from original document without losing any critical purposes, and "Keywords" in a document represents subset of words or phrases from the document for describing its meaning.Manual assignment of quality keywords is time-consuming and expensive.In this paper, we present our preliminary development including sentence similarity index with cosine to measure connected within clusters where keywords.Using such techniques the novel approach strengthens its process and finds hybrid approach to perform the summarization of document along with the keywords identified by the type of document using text mining techniques.Since text summarization process is highly depend on keyword extraction, the overall results are found promising.
PEMODELAN KECEPATAN ANGIN DI KOTA SEMARANG MENGGUNAKAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)

Semarang city is the one of the strategic areas located in the middle of the north coast of Java that has a tropical climate with the high humidity and temperature, so it often causes a high rainfall and strong wind. So that is way Semarang city is ever sustained the extreme weather like a Tropical Storm. Since January 2016 until 2017 there are 34 cases of Tornado and 24 incidents of fallen trees because of the gale. For helping the people to be allert the effect of the strong winds can be done by predicting the average of wind velocity by using Adaptive Neuro-Fuzzy Inference System (ANFIS) method which can predict the climate change that do not require the assumption of white noise and normal residual distribution. In addition ANFIS is a group of neural network with input that has been fuzzied on the first or second layer, but the weight of the artificial neural is not fuzzied. The identification result of stationaries obtained the plot of PACF on the first and second lag, with the result that these lag which will be a input variable on ANFIS model. The result of ANFIS by using cluster FCM, the third total membership show the smallest percentage of RMSE in-sample is 0,0048 on the first lag, and the smallest percentage of RMSE out-sample is 0,008 on the ANFIS model with the input lag 1 and three cluster. Keywords : the average of wind velocity, ANFIS, RMSE
Pengaruh Interaksi Sosial dan Peran Gender Terhadap Pertimbangan Moral Siswa SMA Negeri 12 Medan

The study aims (1) to determine the effect of social interaction on students’ moral judgment; (2) to determine the effect of gender role as woman on students’ moral judgment; (3) to determine the effect of social interaction and gender role as woman on students’ moral judgment. The population of this study are students of class XI SMAN 12 Medan amounted to 344 students. The study sample consisted of 135 students, especially woman who were selected using quantitative research and the proportionate stratified random sampling technique. Collected using the moral judgment scale used is Defining Issues Test (DIT), social interaction scale, gender role as woman scale. Data were analyzed using multiple regression analysis. The results show that (1) there is no significant effect of social interaction on students’ moral judgment which is indicated by the coefficients rx1.y = 0.077 and p = 0.373 0.05, It means there is no effect of social interaction on students’ moral judgment; (2) there is no significant effect of gender role as woman on students’ moral judgment which is indicated by the coefficients rx2.y = 0.028 and p = 0.746 0.05; (3) there is no significant effect of social interaction and gender role as woman on students’ moral judgment which is indicated by the coefficients rx1.x2.y = 0.087 and p = 0.608 0.05. The percentage of contributions given by social interaction and gender role as woman is 0,8 %. The remaining 99,2 % is influenced by other variables not examined in this study.
Information Hoax in Political Years 2019: Learning and Challenges

The development of Internet-based technology has resulted in a change of society to a new phase. These changes resulted in social and community life (‘online society’) in the millennial era. The change was followed by the development of information in which there was a lie (Hoax). The development of such information appears rapidly, especially in political years In Indonesia 2019. This research related Hoax information on challenges in political years were carried out using descriptive qualitative methodology. Research steps; observation, reviewing literature and media. Study of literature and media is carried out in-depth. In qualitative research the role of researchers is crucial and the search for data will be considered enough if it can answer the research objectives. Information containing lies that spread to the public becomes a serious challenge. Hoax information appears, making people lives uncomfortable and restless. Developing feelings of contempt, slandering, demeaning, breaking the rules, order and peace. Lying information is made less concerned having impact and cannot be justified. Solution to Hoax Information Problems; the need for good Ethics and Self Integrity, Need Honesty, verification and Validation of Information, there needs to Editorial Board (Gate Keeper), aware of the impact on the information content, Information needs to be Balanced and not repetitive and tendentious.&#x0D; Keywords: information technology, internet, change, millennial, information hoax
Pengelompokan Potensi Produksi Buah-Buahan di Provinsi Sumatera Utara dengan Menerapkan K-Clustering (Studi Kasus : Dinas Tanaman Pangan dan Holtikultura)

Until now the agricultural sector still plays an important role in the national economy. Fruits are commercial commodities which are very strategic to be developed and traded in regional, national and international markets. So that the optimal conditions in an area for the production of commodity types of fruit is a very important comparative advantage. Based on data on fruit production results in the Office of Food and Horticultural Crops of North Sumatra showing several regions with varying amounts of fruit yields. For this reason, grouping of potential fruit-producing regions is needed to be based on the names of districts / cities that have the potential to produce fruit. By using the K-Means Clustering Method, the division of regional groups can be done based on the harvested area (Ha), production (tons) and the year of harvest. In this research, clustering of fruit-producing potential areas was carried out using the K-Means algorithm. By using K-Means aims to facilitate the grouping of an area in knowing the level of potential based on districts / cities in the province of North Sumatra
PENERAPAN ALGORITHMA APRIORI UNTUK MENEMUKAN POLA PEMILIHAN KONSENTRASI STUDI MAHASISWA

Exploring information or new knowledge from existing data sets is an important point of the data mining process, such as a collection of course value data that has been stored, but its potential has not been raised to find new benefits. While on the other hand there is the problem of how to find the concentration of studies that are in accordance with the competencies of the students themselves. This study was conducted to find the concentration selection pattern, based on some of the best value data from the courses that have been taken using the Apriori Algorithma, where the rules in this method will be used to find the pattern in question. Using a minimum support value of 70% produces rules with 5 item sets, namely courses in logic and algorithms, system analysis, system design, web programming and software engineering. The pattern / rule produced can be a guide for students in choosing concentration.
Implementation of Cloud Computing Using the Roadmap for Cloud Computing Adoption (ROCCA) Method in Non-Ministry Government Institutions (Case Study of Lembaga Ilmu Pengetahuan Indonesia)

Cloud computing answers some of the challenges in the ICT world, including the high investment that must be spent. This study aims to examine the adoption of the Roadmap for Cloud Computing Adoption model used for cloud computing implementation at the Indonesian Institute of Sciences. This research model uses cloud computing analysis along with each phase of ROCCA and compared with conditions in Non-Ministry Government Institutions (LPNK). The results of this study are a modification of the adoption model of ROCCA, which consists of 5 (five) stages, namely the Analysis, Design, Adoption, Migration, and Management stages. Then it resulted in the implementation of cloud computing with the implementation model of Private Cloud as a service and Infrastructure as a Service service for research institutions at the Indonesian Institute of Sciences. The implementation of cloud computing at LIPI can run well
Implementasi Diagnosa Penyakit Gastritis Pada Anjing Dengan Menggunakan Jaringan Saraf Tiruan Multi Layer Perceptron (Studi Kasus: Sasmita Pet Shop &amp; Clinic)

Dog is yab animals already has long maintained by humands .in aspect maintenance animals ,there are some hal who need note , among others in health for example bacteria found on food ordigested water so that witout realized animal that is will experience nausea and vomiting,illness that among other diseases gastritis. Gastritis some too with diseases ulcer. Gastritis originated from languagegreece that is gastro , witch means stomach and itis brarti inflammation / inflammation. From analisis then obtained picture that network nerve imitation diagnose gastritis can do with method multi layer perceptron use the appropriate computer program with needs so the user more easyobtain more diagnostic results good. With existence network nerve imitation diagnose gastritis disease expented could make it easier in look value weight in input it and results of diagnosis of the disease
Transferring clinical prediction models across hospitals and electronic health record systems

Recent years have seen a surge in studies developing clinical prediction models based on electronic health records (EHRs) as a result of advances in machine learning techniques and data availability. Yet, validation and implementation of such models in practice are rare, in part because EHR-based clinical prediction models are more difficult to apply to new data sets than results of classical clinical studies due to less controlled clinical environments.
KEMAMPUAN MAHASISWA JURUSAN SASTRA INDONESIA UNIVERSITAS ANDALAS DALAM MERESPONS KAIDAH BAHASA INDONESIA PADA LAMAN UKBI.INFO

Ukbi.info a page that used to examine the ability of bahasa Indonesia. This page is provided as exercise tool before doing official UKBI test held by Badan Pengembangan Bahasa dan Perbukuan Republik Indonesia. This research is aimed to examine students’ ability of Indonesian Department University Andalas in responding bahasa Indonesia principle. Computational method is applied in this reseach that create ukbi.info web including 500 questions of bahasa Indonesia to give responses about the principles or compatible with UU. No. 50 2015 or General Guide of Indonesia Spelling (PUEBI). To know the result of test, each of participants will be given an account based on registered number, then they will observe and answer 25 questions for 25 minutes. In conclusion, the result of research shows that students’ ability at Indonesian Department University Andalas are on intermediate/middle rank (rank of high school students) and mediocre (rank of middle school students). This rank is not compatible with standardization of Badan Pengembangan Bahasa dan Perbukuan Republik Indonesia, that is excellent. Therefore, it is highly recommended to Head of Indonesian Department University Andalas to establish standardization for graduated students to reach excellent rank. The establishment of this standardization is organized by socializing ukbi.info page to whole Indonesian Department students University Andalas and target the graduated students to get excellent rank before completing their comprehensive tests.Keywords: students’ ability, bahasa Indonesia principle, ukbi.info page
Real-time health status evaluation for electric power equipment based on cloud model

The health status evaluation of electric power equipment is an important issue with extensive concerns in power system community around the globe. In consideration of the uncertain characteristics of the monitoring data of wind turbines, a real-time health status evaluation method for wind turbines is presented employing the advantages of the cloud model in dealing with uncertain information. In the presented method, real-time data are analysed based on the well-established unsupervised clustering to partition the operational space. The health evaluation model is then trained based on the cloud model and cloud transformation, combining with SCADA historical state data and fully considering the uncertain information of wind turbines. The proposed model is applied to evaluate the health conditions of a 1.5 MW wind turbine located in northern China, and it is demonstrated that this model can detect the changing trend, and hence promote reliability of wind turbines, and reduce maintenance costs.
A whole school intervention for teaching, learning and understanding Times Tables

As the new Government Statutory Multiplication Tables Check is rolled out nationally in 2020 to all Year 4 children, this article supports schools in ways to prepare their staff and children, so that there is a whole school approach to the teaching, learning and understanding of Times Tables. It shares elements of a large research project across 5 Local Authorities, and sets out to help schools avoid issues from the past around learning Times Tables.
The Implications of Using Interactive Artifacts to Bridge the Divide Between Audience and Stage in a Conventional Hall Setting

Within the field of performance art, where the audience and the performance stage is separated, there is a paradox in keeping a conventional divide between the audience and the performing stage while expanding the possible space of engagement between the two. Interactive technology yields tantalizing promises of creating an underlying layer so the conventional divide is still respected and somewhat preserved.&#x0D; &#x0D; This paper presents a cross-sectional view of experiments done with the Royal Danish Theatre to explore different strategies of creating interactive mediation to bridge this divide. We will introduce examples of passive spectatorship modeled performances that attempted to integrate digital interaction. Through the experiments, we have become aware of central implications that one needs to be aware of to fully succeed in integrating in a manner that does not negatively impact the experience of the audience members. The three implications are context expectations, level of audience control, and the embodied experience. Based on the experiments and the implications, we suggest two things to consider: First, we discuss the possibility to work across disciplines and stakeholders to custom design mediated experiences for a particular production. Second, we propose the possibility to think in terms of designing artifacts that can be integrated into the hall setting across different plays without larger interference with the overall experience.&#x0D;
ВПЛИВ МУЗЕЙНОЇ ПЕДАГОГІКИ НА ФОРМУВАННЯ НАЦІОНАЛЬНИХ ЦІННОСТЕЙ ОСОБИСТОСТІ

&#x0D; &#x0D; &#x0D; The article analyzes the museums' role in shaping the citizens’ state consciousness, person’s national values and in culture- educational activities. The basic principles of formation the museum pedagogy’s ideological and functional orientation are revealed. It is determined that the museum pedagogy’s leading function is the influence on the visitor’s logical and emotional sphere, his outlook, convictions. The idea that museum pedagogy forms the integrative fields for the improvement of formal and informal educational spaces and helps to fill qualitatively the logical-cognitive and sensory process of personal development with new knowledge and meanings is substantiated. The article stressed that school or any other educational institution that restricts its activities by a narrow local area and is not integrated into socio-cultural environment institutes, is ineffective, unable to ensure the completely quality of educational work. The European countries experience of mainstreaming the museum pedagogy in the cultural and educational space is described.&#x0D; &#x0D; &#x0D;
verifiable and multi-keyword searchable attribute-based encryption scheme for cloud storage

The success of the cloud computing paradigm is due to its on-demand, self-service, and pay-by-use nature.Public key encryption with keyword search applies only to the certain circumstances that keyword cipher text can only be retrieved by a specific user and only supports single-keyword matching.In the existing searchable encryption schemes, either the communication mode is one-to-one, or only single-keyword search is supported.This paper proposes a searchable encryption that is based on attributes and supports multi-keyword search.Searchable encryption is a primitive, which not only protects data privacy of data owners but also enables data users to search over the encrypted data.Most existing searchable encryption schemes are in the single-user setting.There are only few schemes in the multiple data users setting, i.e., encrypted data sharing.Among these schemes, most of the early techniques depend on a trusted third party with interactive search protocols or need cumbersome key management.To remedy the defects, the most recent approaches borrow ideas from attribute-based encryption to enable attribute-based keyword search (ABKS).