Reviewerly/exHarmony huggingface dataset:
“Blue Whale Project” — Solution to Community Waste Classification Service System Design

In recent years, more and more people pay attention to environmental problems.The correct classification of garbage directly affects environmental governance.Based on the community classification group in Shenzhen, China, this paper puts forward the community garbage classification method for the government to enforce the garbage classification measures.Aiming at the problem of community garbage classification, first of all, we need to understand the number of households, living habits, garbage delivery behavior, and from which to sort out and analyze the characteristics of typical characters, then simulate the different character types in the garbage classification process of functional needs and emotional changes, clear and optimize the delivery process, and promote the correct classification."Blue Whale Project" actively cooperates with the government to improve the waste classification system and supporting facilities.Combined with Internet technology, it establishes the classification community culture and promotes waste classification education, encouraging users to be willing to and able to classify, so as to achieve a new situation of correct waste classification in the community.As a result, we created the "blue whale project" through the mode of "one bucket, one bag" and apply to improve the user classification experience, improve the enthusiasm and correctness of garbage classification, and strive to provide reference value for the promotion of garbage classification in the community.
Cloud middleware and services-a systematic mapping review

Cloud computing currently plays a crucial role in the delivery of vital information technology services. A unique aspect of cloud computing is the cloud middleware and other related entities that support applications and networks. A specific field of research may be considered, particularly as regards cloud middleware and services at all levels, and thus needs analysis and paper surveys to elucidate possible study limitations. The purpose of this paper is to perform a systematic mapping for studies that capture cloud computing middleware, stacks, tools and services. The methodology adopted for this study is a systematic mapping review. The results showed that more papers on the contribution facet were published with tool, model, method and process having 18.10%, 13.79%, 6.03% and 8.62% respectively. In addition, in terms of tool, evaluation and solution research had the largest number of articles with 14.17% and 26.77% respectively. A striking feature of the systemic map is the high number of articles in solution research with respect to all aspects of the features applied in the studies. This study showed clearly that there are gaps in cloud computing middleware and delivery services that would interest researchers and industry professionals desirous of research in this area.
SURVEI MINAT MAHASISWA BARU TAHUN 2020 STMIK AGAMUA WAMENA TERHADAP KOMPUTER

This study aims to determine the interest of new students in STMIK Agamua Wamena of 2020 towards computers. This is a descriptive research with survey method. The type of data collection from this research is distributing questionnaires using a list of questions that have been prepared previously and used as a guide in digging up data. The questionnaire instrument consists of 10 (ten) statements. The questionnaire was tested for validity and reliability using SPSS. The questionnaire was prepared using a Likert scale of 1-4 (4 = strongly agree; 3 = agree; 2 = disagree; 1 = strongly disagree). The analytical method used is simple statistical analysis, by accumulating the number of points for each parameter that is visualized into a graph. The results of this study are the interest or interest of new students towards computers is quite large, as seen from the number of percentages who agree and strongly agree more than those who strongly disagree and disagree.&#x0D; &#x0D; Keywords: Interest, New Student, Computer
Authentication and Access Control for IoT Devices and Its Applications

The authentication methods for the Internet of Things (IoT). There is a variety of methods implemented in the software industry but not all are based on the concepts of IoT. This chapter explores several gaps present in the IoT which are further dealt with to provide more and more feasible options pertaining to user authentication. The rapid increase in the number of IoT devices is the main reason for the concern of efficiency of present authentication methods. The chapter focuses on various techniques in authentication and access control in IoT for high-security processes. Narrow Band IoT provides limited resources, data-centric and closely related applications, topology changes dynamically, and complex network environment that can be broadly used in smart agriculture, intelligent parking, remote meter reading, asset tracking, and so on. Authentication enforces access control, and the work is based on facial recognition authentication which is based on deep learning. In this research project, the authors propose on using Convolutional Neural Networks.
Aplikasi Operasi Matriks pada Perancangan Simulasi Metode Hill Cipher Menggunakan Microsoft Excel

&lt;p&gt;&lt;em&gt;One of several algorithms in cryptography is the Hill Cpher method. This method is used in randomizing the contents of the message using a password key in the form of a matrix with the order MXM. The product in this research is a simulation design to explain how a plaintext message is converted into cipher text with encryption and decryption processes and vice versa from ciphertext to paintext through multiplication and inverse matrix operations. using Microsoft Excel (MS Excel). In this study, a matrix with order 2x2 and modulo 26 was used. This simulation design shows how the work process visually for each step in the process of changing the message content in the Hill Cipher method. It is hoped that the results of this study can be used as a learning medium by the community, especially students and lecturers, to increase understanding and broaden their horizons about the Hill Cipher method in cryptography lectures.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Intelligent Video Surveillance System

Intelligent video recognition with in-depth learning concept will create a self-paced video analytics program. CCTV cameras are used in all areas where safety is paramount. Manual monitoring seems tedious and time-consuming. Security can be defined by different words in different contexts such as identity theft, violence, explosions etc. Security monitoring is a tedious and time-consuming task. In this project we will analyse video feeds in real time and identify any unusual items such as violence or theft. The concept of in-depth learning simulates the functioning of the human brain in processing data for use in acquisition, speech recognition, decision making, etc. This will depend without human guidance, from unstructured and unlabelled data.
Digital Marketing Chatbot Using API Dialog Flow Case Studi ITB Stikom Bali, Jimbaran Campus

The presence of technology in everyday life makes all activities fast and easy.Technology is also present and reaches all levels of society.Communities are competing to create innovations so that all community activities become more effective and efficient.The ITB Stikom Bali Campus, especially the Jimbaran Campus, in attracting prospective students in marketing by providing information to prospective students is often done manually.The same thing is repeatedly conveyed to prospective students who get information at school and those who come to campus.If the number of students is large, it will take a very long time, and some prospective students do not get information about the ITB Bali Stikom Campus.The Industrial Revolution 4.0 demands a digital marketing concept that can be combined with the capabilities of Machine Learning -Natural Language Processing (NLP), which is the study of how computers or systems can communicate with human language and can answer questions.The concept of NLP is used to create automatic answering services or chatbots.This study aims to build a chatbot system that can provide information to students about the STikom Bali ITB Campus.The chatbot that is built will use Dialogflow, a framework from Google.The method used in this research is the waterfall method.The results of the data analysis of the collection of questions from existing student candidates are compiled and the possible answers will be given by the chatbot.The results of this study indicate that the chatbot has been implemented well, it can be seen from the chatbot that has answered questions from users well according to the given keywords.Questions that can be answered include Cost Information, Study Program Information, Study Program Profile Information, and the registration process at the ITB STikom Bali Jimbaran Campus.
REFLECTION OF RESEARCH RESULTS IN THE FIELD OF SOCIAL, NATURAL AND TECHNICAL SCIENCES IN THE 20th CENTURY (BASED ON MATERIALS OF SCIENTIFIC AND TECHNICAL DOCUMENTATION)

The study of the history of science and technology is impossible without the involvement of scientific and technical documentation reflecting the results of scientific and technical activities, both of individual representatives of science and technology who have contributed to the development of social, natural and technical sciences, and of specialized organizations. This group of documents has been little studied by researchers and is only still being introduced to the scientific world, while it contains information that is absent in other types of sources. Using the example of the documents of the Regional State Administration in Samara, the author of the article reveals the specifics of the composition and content of documents belonged to one of the types of scientific and technical documentation, namely, research work.
The sovereignty of Artificial Intelligence over Human Ethics and Heedfulness

Artificial Intelligence in present days is in extreme growth. We see AI in almost every field in work today. Artificial Intelligence is being introduced in crucial roles like recruiting, Law enforcement and in the Military. To be involved in such crucial roles, it needs lots of trusts and scientific evaluation. With the evolution of artificial intelligence, automatic machines are in a speed run in this decade. Developing a machine/robot with a set of tools/programs will technically sort of some of the challenges. But the problem arises when we completely depend on robots/machines. Artificial intelligence this fast-growing technology will be very helpful when we take help from it for just primary needs like face detection, sensor-controllers, bill counters…etc. But we face real challenges when we involve with decision making, critical thinking…etc. In mere future, automated machines are going to replace many positions of humans. Many firms from small to big are opting for Autonomous means just to make their work simpler and efficient. Using a machine gives more accurate results and outputs in simulated time. As technology is developing fast, they should be developed as per societal rules and conditions. Scientists and analysts predict that singularity in AI can be achieved by 2047. Ray Kurzweil, Director of Technology at Google predicted that AI may achieve singularity in 2047. We all saw the DRDO invention on autonomous fighting drones. They operate without any human assistance. They evaluate target type, its features and eliminate them based on edge detection techniques using computer vision. AI is also into recruiting people for companies. Some companies started using AI Recruiter to evaluate the big pool of applications and select efficient ones into the industry. This is possible through computer vision and machine learning algorithms. In recent times AI is being used as a suggestion tool for judgement too. Apart from all these advancements, some malicious scenarios may affect humankind. When AI is used in the wrong way many lives will fall in danger. Collecting all good and evil from past experiences is it possible to feed a machine to work autonomously. As many philosophers and educated people kept some set of guidelines in society is it practically possible to follow when AI achieves singularity and when we talk about the neural networking of human. They have good decision-making skills, critical thinking…etc. We will briefly discuss the ethics and AI robots / Machines that involve consciousness and cognitive abilities. In this upgrading technological world, AI is ruling a maximum number of operations. So, we will discuss how can ethics be followed. How can we balance ethics and technology in both phases.We will deep dive into some of these interesting areas in this article.
The Effect Of Use Powtoo Learning Media To Student Learning Motivation On 3rd Grade On Indonesia Subjects At Islamic Elementary School Athirah 1 Makassar

This research is an experimental study that aims to determine the significant effect of use powtoon learning media to student learning motivation on 3rd grade on indonesian subjects at islamic elementary school athirah 1 makassar. The independent variable in this study is the use of Powtoon learning media, while the dependent variable is student learning motivation. This research using a quantitative approach and using this type of experimental research with the research design One Group Pretest-Posttest Design. The population in this study were 120 students of third grade of Athirah Islamic Elementary School 1 Makassarfor the academic year 2020-2021. Determination of the sample of this study using a simple random sampling technique, Class III Al-Aziz SD Islam Athirah 1 Makassar as an experimental class as many as 25 people. Data were collected using research instruments in the form of student learning motivation questionnaires, observation and documentation. The data analysis technique used in hypothesis testing is Paired Sample t-test with the help of the IBM SPSS Statistic Version 22 application.The results of measuring student learning motivation comparing the results of pre-test and post-test using Powtoon learning media show that the use of Powtoon learning media has a significant effect on the learning motivation of third grade students of Athirah Islamic Elementary School 1 Makassar.
ANN-inspired Straggler Map Reduce Detection in Big Data Processing

One of the most challenging aspects of using MapReduce to parallelize and distribute large-scale data processingis detecting straggler tasks. Identifying ongoing tasks on weak nodes is how it’s described. The total computation time isthe sum of the execution times of the two stages in the Map process (copy, combine) and the three stages in the Reducephase (shuffle, sort, and reduce). The main aim of this paper is to estimate the accurate execution time in each location. Theproposed approach uses a backpropagation neural network on Hadoop to detect straggler tasks and calculate the remainingtask execution time, which is crucial in straggler task identification. The comparative analysis is done with some efficientmodels in this domain, such as LATE, ESAMR, and the real remaining time for WordCount and Sort benchmarks. It wasfound that the proposed model is capable of detecting straggler tasks in accurately estimating execution time. It also helpsin reducing the execution time that it takes to complete a task.
Web Based Security System Academic Exam Questions Using Advanced Encryption Standard

One way to measure the success of the academic process and achievement of student competence, is giving exams, from the smallest level namely daily tests, semester exams, to the highest level, namely the national exam. In an effort to maintain the security of exam question data, there is a data security method known as cryptography. In this research, a security system was designed that serves to protect exam questions so that data cannot be read by student before its time by using the Advanced Encryption Standard (AES) algorithm. The AES algorithm is a type of symmetric algorithm where the encryption and decryption processes have the same key for the encryption and decryption processes. In the system that will be designed, the Caesar Cipher algorithm is used to form an additional key (seed) that is kept secret from the public. The results of this study indicate that AES encryption method can give results maximum so that the AES method can applied to virtual data storage system to protect the transmitted data.
Students' Perceptions: Using Writing Process Approach in EFL Writing Class

The writing process approach (WPA) is a way to solve the problems of how the students express their ideas in producing essays systematically. The use of WPA needs to be examined from the students' perceptions because students' perception of the use of WPA influences students' writing ability. This study aims to investigate the students' perceptions on the application of WPA in EFL writing classes. This study applied a qualitative approach using a questionnaire and semi-structured interview with a written list of questions as a guide which focused on students' perceptions in the application of the WPA in their writing class. The data of the interview was analyzed by qualitative by using content analysis. The questionnaire results showed that most students had a highly positive and positive perception, while no students had a negative perception of the application of WPA based on the percentages. The results of interviews were concluded in four themes. Firstly, most students reported that they have highly positive opinions on WPA and considered the planning. Secondly, peer feedback is revising strategies as most useful. Thirdly, they stated that the steps in WPA were specific, systematic, and helpful. Lastly, they perceived that their writing product had improved after the application of WPA in writing class. The findings from the interviews corresponded with the findings from the questionnaire, which revealed that students had positive perceptions on the application of WPA in writing class; therefore, WPA can be suggested as the alternative approach to improve students' writing ability.
Recursive Parallel Partition Random Forest for Medical Disease Classification

The development of computing technology has led to enormous improvement in the medical data and machine learning processing techniques.The increasing data usability in various field leads to the term big data, which is required in various applications such as medical, finance and so on.The existing models such as Random Forest, Support Vector Machine (SVM) and Decision tree have low capacity in handling the large volume of the data.In this research, the Recursive -Parallel Random Forest is proposed to effectively classify the large volume of medical data.The recursive partition method has been used to segment the input data and process the data in segmented manner.The recursive partition method segment the data and subset features based on data centric to improve the learning and provide adaptive gain ratio value to build Random Forest.The recursive partition method provides the data with high correlation that supports the random forest to perform the Random Forest parallel.The partition the data in data centric and balance the classes that helps the proposed model to handle the imbalance data effectively.The Parallel Random Forest method has been used to improve the performance of the medical data classification and the performance of Recursive partition-Parallel Random Forest (R-PRF) method was estimated using three UCI medical dataset such as Chronic Kidney Disease (CKD), Heart Disease and Diabetes.The standard classifiers and state-of-art method has been used to compare with the proposed R-PRF method and the experimental result shows that the R-PRF has the accuracy of 92.01 % and the existing Improved SVM radial method has 89.9 % accuracy.
Compatibility fans realizing graphical nested complexes

Graph associahedra are polytopes realizing the nested complex N(G) on connected subgraphs of a graph G.While all known explicit constructions produce polytopes with the same normal fan, the great variety of fan realizationsof classical associahedra and the analogy between finite type cluster complexes and nested complexes incitedus to transpose S. Fomin and A. Zelevinsky's construction of compatibility fans for generalized associahedra (2003)to graph associahedra. Using a compatibility degree, we construct one fan realization of N(G) for each of its facets.Specifying G to paths and cycles, we recover a construction by F. Santos for classical associahedra (2011) and extendF. Chapoton, S. Fomin and A. Zelevinsky's construction (2002) for type B and C generalized associahedra.
Peran Pustakawan Sebagai Mitra Pendamping Penulisan Karya Tulis Ilmiah Mahasiswa Universitas Muhammadiyah Magelang

The academic librarians have now penetrated into academic activities, namely becoming research partners of the academic community. The librarian's job is no longer just to borrow and return books. However, librarians can also provide mentoring services for the preparation of scientific papers based on partnerships with students and lecturers. The purpose of this study is to (1) inform the existence of academic writing guidance service. with librarians at the University of Muhammadiyah Magelang, (2) find out the urgency of academic writing guidance service. in libraries, (3) the mechanism of library academic writing guidance service., and (4) the informant's response to the academic writing guidance service.. The type of data in this study is descriptive qualitative with data sources from interviews, questionnaires, and document studies. Research informants were 7 people consisting of 1 lecturer and 6 students. The results showed that; (1) Academic writing guidance service. with librarians are very helpful for lecturers and students in preparing theses, (2) librarians are very clear, detailed, and responsive in providing guidance, and (3) Academic writing guidance service. are very important and needed for students to Academic Writing becomes structured and systematic. Suggestions given by informants for academic writing guidance service. to improve service promotion and form mentoring WhatsApp groups.