Reviewerly/exHarmony huggingface dataset:
Image encryption by AES algorithm based on Chaos-Permutation

Today, in particular with the development of the internet, transmitting confidential information in a secure manner has become a basic need; data encryption is often the only effective way to meet these requirements. Traditional cryptography is the study of methods for transmitting confidential data; in modern cryptography, transformation is applied to the plain message that makes it incomprehensible; these transformations are mathematical functions, called cryptographic algorithms, which depend on a parameter called key. In this paper, we presents a new symmetrical crypto-system by block for encrypting images on using the encryption AES algorithm (Advanced Encryption Standard) combined with the CBC mode (Cipher Block Chaining) in order to improve the security level. The proposed crypto-system consists on replacing the linear permutation of ShiftRows step of the AES encryption algorithm by a nonlinear and random permutation, this permutation is calculated by a chaotic sequel.
INVESTIGATING THE EFFECT OF PLATFORM LEADERSHIP ON EMPLOYEE INNOVATIVE BEHAVIOR

With the rapid development of information and digital technology in China, the Platform economy has been born, more and more enterprises appear as platform-oriented leaders. Platform leadership is a new leadership model with the core characteristics of "empowerment", "growth", and equal sharing. At present, there are few literature on integrating platform thinking into leadership theory both domestically and internationally, and there is even no concept of platform leadership internationally. As the Chinese economy enters a stage of high-quality development led by innovation, the innovation ability of employees determines the long-term development of enterprises. However, it is worth further exploring how platform leadership can influence employees' innovative behavior and ability. Based on the social exchange theory, the Social cognitive theory and the ability motivation opportunity theory, this paper introduces four variables of organizational learning, knowledge sharing, coworker support and psychological empowerment as mediating variables, and constructs a multiple mediating model of platform leadership influencing employee innovation behavior. Based on multiple theoretical perspectives, this article analyzes and reviews the impact mechanism of platform leadership on employee innovation behavior, constructs an integrated theoretical model, and discovers the possible mediating factors and pathways that platform leadership may affect employee innovation behavior. At the same time, some of the mediating factors found in this article, such as organizational learning and colleague support, have not yet formed a unified consensus on the concepts, types, antecedents, and outcome variables of these two influencing factors in domestic and foreign research. This article attempts to construct a relationship between platform leadership and these two variables, which can fill the gap in the discussion on the relationship between organizational learning, coworker support and platform leadership. Finally, through literature review and theoretical model construction, the author found that in the era of China's digital economy, enterprises should cultivate and value platform based leadership. This article also provides a theoretical basis for platform leaders to effectively promote employee innovation behavior.
CORRELATIVE STUDY OF SOLAR TRANSIENT PARAMETERS ASSOCIATED WITH DST INDEX FOR SOLAR CYCLE 23 AND 24

Geomagnetic storms and solar coronal mass ejections (CMEs) have been shown to be associated since the discovery of CMEs in solar activity (Yurchyshyn et al., 2004). An intense geomagnetic storm can either be stemmed from a CME, or from a coronal hole. However, a great geomagnetic storm can only be sourced from a CME (Le et al., 2012). The aim of this paper is to study the relation between the coronal mass ejections (CMEs), and their associated solar flares and correlate this with the Disturbance storm time (Dst) index. We have studied the count rate of soft X-rays class of X, M and C type through a histogram type plot for studying the number of X-rays of different class observed during solar cycle 23 and 24. We have also studied the angular width, speed of coronal mass ejections (CMEs) and disturbance storm time (Dst) index of solar cycle 23 and 24 for the whole cycle (Pant et al., 2021).
Gambaran Preferensi Media Belajar Mahasiswa Kedokteran Universitas Tarumanagara

Learning medium are mediums used to convey various learning materials to improve knowledge. One example of a learning medium is books. With the advancement of technology, various books are now available in digital form. The availability of books and learning materials in digital format allows students, especially college students, to use either print format or digital format based on their preferences. This study aim to determine the format preferences of medical students of Tarumanagara University when studying. Descriptive study was conducted on 445 medical students from class of 2018-2020 of Tarumanagara University using the format preference questionnaire that had been modified. Sample were taken using total sampling. The results showed that student’s print format preference during studying were 53,26% while digital format preference were 46,74%. The ease of reading repeatedly with longer duration was the most reason stated by students with print format preferences (43,46%) while the convenience of being able to be read anywhere was the reason stated by students with digital format preference (72,17%). Student’s preference of print and digital format based on language and length of the reading material were questioned as well. The students shows a large preference for print format if the texts are in Bahasa Indonesia (67,42%), while students shows a preference for digital format if the text are presented in foreign language (70,11%). If text’s length are ≥7 page and &lt;7 page, the students prefer to use print format. This study also shows that students have their own techniques/strategies when reading digitally. Underlining/highlighting is the technique mostly used by students (69,66%).From this study, it can be concluded that the majority of Tarumanagara University’s medical students prefers print format rather than digital format for studing purposes, hence Tarumanagara University should provide reading materials in hardcopy to support students academic activites.
Wizard based on natural language processing for Java programming language

Smart assistants are a technology that has become very popular today, due to the multiple functions they have, and somehow allow a natural interaction between devices and human beings. The objective is to develop an assistant based on NLP (Natural Language Processing) focused on the Java programming language, with the feature of guiding the user on the use of this language from reliable and validated sources, through speech recognition and speech synthesis by the assistant, allowing communication between the software and the user through natural language, in order to make the time in the consultation of information more efficient since it is considered that from the implementation of the speech to text engine and the subsequent processing of natural language, The search will be carried out on the web obtaining relevant results of precision. In the implemented methodology, the general requirements were defined, such as the voice recognition and identification modules, the search module and the internal storage structure, the design was based on a file-based controller view architecture, implemented through technologies such as PyQt5, Speech Recognition, Pyttsx3, Beautiful Soap among others, developed with the python programming language with the paradigm of object-oriented programming obtaining satisfactory results of precision in the searches by concepts and syntax carried out
Language Recognition through Context-Free Grammars and Natural Language Processing

At present, language recognition systems have great relevance, because these systems allow to identify if the lexical units belong to a certain language, this type of tools have allowed to generate translators, word identifiers, and recently sentiment analyzers have been built, thanks to current advances it has been possible to achieve with natural language processing the analysis of sentences developed by human beings to be interpreted by computerized systems. This research shows the application of techniques for recognizing the belonging of strings to formal languages using context-free grammars, on the other hand, a software has been developed for the recognition of feelings in text. The results achieved indicate a recognition of 100% of the analyzed strings, as well as the interpretation of the analyzed sentences, performing the coding of a parser and a sentiment analyzer
Traffic Performance Analysis – Emp And Saturation Degrees Using Pkji 2023

The intersection of KH Wahid Hasyim Road and Inspection Road which is located in the Selokan Mataram, Dabag, Condongcatur, Sleman, DIY area has a high traffic volume because it is a link between residential, educational and economic zones and shopping centers. The problem that often occurs at the intersection of Jalan KH Wahid Hasyim and Jalan Inspection Selokan Mataram, Dabag, Condongcatur, Sleman, DIY is high traffic flow, which often results in traffic jams. The regulation of traffic lights currently in operation cannot overcome the congestion that often occurs, especially during peak hours. The aim of this research is to analyze the performance of signalized intersections using the PKJI 2023 method. To provide appropriate solutions and alternative problem solving at these intersections. Which can improve the performance of the signalized intersection Jl. KH Wahid Hasyim and Jl. Mataram Selokam Inspection. Based on the results of research that has been carried out, it is as follows: a. The traffic flow at the intersection of four is marked KH. Wahid Hasyim and the Mataram Sewer Inspection Road based on the analysis results show that the traffic volume at signalized intersections for 7 days is 16,527 PCU/hour. b. The traffic volume at the intersection with the KH road signal. Wahid Hasyim and the Mataram Sewer Inspection road at peak hours on Monday 02/10/2023, namely 2539 or 1106.2 SMP/Hour. c. Annual average daily traffic at the intersection of four with the KH road signal. Wahid Hasyim and the Mataram Sewer Inspection road for 7 days were taken at peak hours 06.00 – 07.00 and 16.30 – 17.30. get results, namely 45.10 Kend/Hour. d. Calculation of traffic performance and EMP. Which was carried out for 7 days with a K value of 0.08. according to the road width of 6m, you get a result of 3.60 SMP/hour. e. Degree of Saturation at the intersection of four signalized roads KH. Wahid Hasyim in the peak volume period Monday 02/10/2023. Taken at each intersection, North 0.520 SMP/hour, South 0.641 SMP/hour, East 0.162 SMP/hour and West 0.291 SMP/hour. 1. Degree of saturation at the intersection of four KH roads. Wahid Hasyim and the Mataram Sewer Inspection road for the period Monday 10/02/2023 is North 0.520 SMP/Hour, South 0.641 SMP/Hour, East 0.162 SMP/Hour and West 0.291 SMP/Hour. then the service level is D with unstable flow conditions but the speed and movement of vehicles is very low. 2. Vehicle volume based on the results of a 7-day traffic survey shows the number of heavy vehicles on Monday 02/10/2023 for the time period 06.00 – 07.00 and 16.30 – 17.30. namely 2539 Kend/Hour. 3. The capacity value (C) obtained is 2688 SMP/Hour. 4. The value of traffic flow and EMP passing through the four signalized intersections on Jl. KH. Wahid Hasyim and Jl. Sewer Inspection with a K value of 0.08 gets a result of 3.60 SMP/Hour.
A New Concept Of Surveying Of Navigation Using High Speed Moving Drones Using UAS

The Remote Operated Military Purpose Aerial Vehicle (ROMPAV) project is a forward-looking initiative dedicated to crafting a state-of-the-art unmanned aerial system (UAS) tailored exclusively for military purposes. This endeavour is concentrated on developing a versatile and highly agile UAS with the capacity to execute missions ranging from reconnaissance and surveillance to target acquisition and precision strikes across various operational terrains. By harnessing cutting-edge technology in autonomous navigation, real-time data analysis, and remote piloting, the ROMPAV seeks to elevate military capabilities through a cost-efficient and low-risk solution for military operations, all while reducing the exposure of human personnel to potential hazards. The work carried out is the second semester mini-project by the students of Electronics &amp; Communication Engineering under the guidance of the faculties.
PENGEMBANGAN MULTIMEDIA PEMBELAJARAN INTERAKTIF MATERI SISTEM PEREDARAN DARAH UNTUK MENINGKATKAN MOTIVASI BELAJAR MAHASISWA PGSD

The study aims to (1) produce interactive learning multimedia on circulatory system materials for android and windows that are in accordance with student needs, (2) determine the feasibility and effectiveness of interactive learning multimedia on circulatory system materials to student learning motivation. This research was a research and development that adapted the development model of Alessi &amp; Trollip. This research was conducted at the University of PGRI Yogyakarta in February to April 2021 with 72 students and 3 UPY lecturer assistants. Data were collected media and material expert scale, user response questionnaire, and motivasion scale. The data were analyzed using quantitative data analysis through descriptive statistics, n-gain test, paired sample t-test, and Mann Whitney U test, and in qualitative data analysis using Bogdan &amp; Biklen model. The results show that (1) the research has produced a product in the form of interactive learning multimedia of blood circulation system material for students during the Covid-19 pandemic, (2) product feasibility obtained an average score of 3.93 in material experts, 3.58 in media experts, 3.79 for lecturer assistant responses, 3.8 for student responses in beta 1 tests, and 3.62 in beta 2 tests. The results of the effectiveness test on learning motivation for the n-gain test obtained a value of 0.15 with a low increase category, paired sample t-test significance value of 0.001 &lt; 0.05 and a Mann Whitney U difference test with a significance value of 0.97 &gt; 0.05. Thus, the product was declared suitable for use in learning during the Covid-19 pandemic but there was no significant difference in learning motivation when using MPI in experimental classes or presentation silde in control classes.
Analisis Dampak Penggunaan Media Pembelajaran Kotak Berjalan Dan Bintang Bernilai Pada Hasil Pembelajaran IPS DI Kelas 5 SDN 158054 Mombang Boru 2 Kabupaten Sibabangun

In the learning process, teaching sometimes feels boring because the learning that is carried out feels monotonous and boring, especially in social studies learning which discusses history and stories that make students especially students feel sleepy. So the formulation of the problem to be examined is how the learning process can be effective and fun the role of using conventional learning media in the form of walking boxes and valuable stars that can make learning fun and educative. The purpose of this lesson is to make students active and show that social studies learning can be fun. This research method is field research with a descriptive approach qualitative.
MANAJEMEN MUAL DAN MUNTAH PADA PASIEN KANKER PARU-PARU

Cancer is a disease that occurs due to abnormal reproduction of cells in the body. Chemotherapy is a type of modality therapy in cancer patients which is often done in addition to surgery, radiotherapy, hormone therapy and immunotherapy. Nausea and vomiting are the most common and disturbing effects of cancer patients undergoing chemotherapy. Management of nausea and vomiting needs to be done appropriately and in accordance with the problems experienced in order to reduce the incidence of nausea and vomiting. The purpose of this study was to describe the management of nausea and vomiting in lung cancer patients. This research uses descriptive research method. The descriptive method in this study uses a literature review design (Library Study). The search strategy method to find journals using the keywords “Cancer OR Cancer AND Lung Cancer OR Lung Cancer AND Management OR Intervention OR Management OR Intervention AND Nausea and Vomiting OR Nausea OR Vomiting OR Nausea and Vomiting AND Management of Nausea and Vomiting OR Nausea and Vomiting Management AND quantitative study ". The results of the literature review are known from 7 journals, it can be concluded that 3 journals show management of nausea and vomiting in lung cancer patients using non-pharmacologic techniques in the form of acupressure or acupuncture
The Student’s Perceptions towards the Use of Google Classroom in Online Classes

The purpose of this research is to identify and describe the perception of the sixth-semester students towards the use of Google Classroom in online classes. The subjects of this study were fifty-six Regular A students, in the English Language Education study program, Universitas Tanjungpura. The data in this descriptive study were collected through a close-ended questionnaire which was divided into two sections, students' perception and features of Google Classroom. Furthermore, the data in this study were analyzed using descriptive statistics which were described and interpreted through diagrams and pie charts. The research findings indicate that most students have positive perceptions towards the use of Google Classroom in online classes. In addition, the feature that helps students the most in online classes is submitting assignments. In short, it can be concluded that Google Classroom has played an essential role during online classes in terms of its accessibility and feature of assignment submission section.
Touch detection in augmented Omni-surface for human-robot teaming

This paper proposes an architecture that augments arbitrary surfaces into an interactive touching interface. The proposed architecture can detect the number of touching fingertips of human operators by detecting and recognizing the fingertips with a convolutional neural network (CNN). The inputs of the CNN model are images that are acquired by an RGB-D sensor. The aligned depth information acquired by the RGB-D sensor generates the plane model, which determines whether fingertips are touching the surface or not. Instead of the traditional plane modeling method that can only be used for flat surfaces, the proposed system can also work on curved surfaces. Corresponding gestures are defined based on the detected touching fingers on the surface. The feedback of the robots is projected on the working surface accordingly with an interactive projector. Compared to conventional programming interfaces, directly touching is much more natural for human beings. Based on the experiments, the proposed system could reduce the massive training time of operators.
Redefining the ICP Experience through Online Learning

The Integrated Case Presentation (ICP) provides an introduction to the clinical experience and the importance of evidence-based science to the practice of dentistry. The ICP is part of the Comprehensive Care course at NYU College of Dentistry. The collaboration between the D4 and D3 students in presenting a patient to their peers allows them to form collegial relationships and facilitates a team-based learning philosophy. On entering the clinic, dental students can feel anxious about the responsibility they will have delivering patient care. The ICP allows the D3 novice to be exposed to clinical cases and to establish a relationship with the D4 student, who will then mentor, support, and guide them. The Integrated Case Presentation enhances the students' professional growth by emphasizing the dentist's role as a primary health care provider and a member of the health care team. The initial challenge of presenting the ICP seminars via Zoom has successfully been overcome and accepted by students and faculty.
Artificial Intelligence as a tool for analyzing cognitive and thinking problems: Rubik's Cube

There is a wide variety of artificial intelligence (AI) algorithms today. The use of these algorithms can be carried out in different areas or fields of action, in turn, with different levels of efficiency. The objective of this article is to carry out an analysis of the impact of artificial intelligence algorithms and the various implementation mechanisms that can be used specifically in problem solving. The study proposes a documentary investigation, exhibiting a problem-solving case study known as Rubik's Cube, which is a mechanical puzzle that requires logical and spatial thinking skills. It is demonstrated that the application of AI algorithms is successfully used to reach a faster and more efficient resolution of the aforementioned puzzle, and that teaching its resolution contributes to the development of cognitive and logical thinking skills in students. It is expected that this contribution to the academic-scientific society will generate a new line of research in the development of cognitive skills and logical thinking with the use of AI to solve various problems in any area.
MENINGKATKAN KEMAMPUAN MEMBACA DAN MENULIS PERMULAAN MELALUAI KEGIATAN LITERASI DENGAN MEDIA BUKU ANAK DI TKIT BINA PRESTASI

Departing from the author's anxiety in addressing whether or not teaching reading and writing is applied to early childhood at the kindergarten level and the way teachers apply teaching methods to read and write to early childhood, the authors conducted classroom action research at TKIT Bina Prestasi, Tangerang City in 2022/23 school year. This study aims to improve initial reading and writing skills through literacy activities using children's book media at TKIT Bina Prestasi, Periuk, Tangerang city, in the 2022/23 academic year. This research is class action research or PTK. The subjects in this study were group B children of TKIT Bina Prestasi, Periuk, Tangerang City, with a total of 7 children consisting of 4 boys and 3 girls. The object of this research was the ability to read and write beginning through literacy activities using children's book media. The method used in this research is descriptive research method with a qualitative approach, with research instruments using observation sheets and documentation. The data analysis technique uses descriptive percentages in three phases, namely the stage before corrective action (pre-cycle), and after the action from Cycle I to Cycle II where cycles I and II are carried out within 5 days each. The results of the study showed that the initial reading and writing skills through literacy activities using children's book media in group B at TKIT Bina Prestasi could be carried out very well. This can be proven by an increase in the completeness and enthusiasm of children's learning, from pre-action to cycle II, where the results of the pre-action reading reached 32.1% and 35.7% writing, the results of the first cycle the average reading ability reached 49.6%. and writing 48.9% and an average performance of 52.2%, the results of cycle II average reading ability reached 77.5% and 77.2% writing and an average performance of 79.7%. The research was stopped until cycle II because it had fulfilled the success indicators and the children's learning completeness had increased very satisfactorily