Reviewerly/exHarmony huggingface dataset:
Mengiplementasikan Vector Space Model Similarity Euclidean Distance Menggunakan TFIDF Pada Klasifikasi Teks Bahasa Indonesia

Weighting based on the term with stemming techniques to get the basic word form term in question. This will the application of the Indonesian language text classification machine using the K-Nearest Neighbor algorithm and the Vector Space Model method on the TFIDF frequency weighting of the number of words and the Euclidean Distance function. comparison between the test documents and the test sample collection Using news documents as learning documents, a total of 10 (10) documents with 3 (three) categories, produces an Precision and Recall 90.00% for k = 5 using frequency weighting in words with the Euclidean Distance function.
A METHOD FOR CONSTRUCTING DIGITAL SIGNATURE SCHEMES BASED ON NEW HARD PROBLEM ON THE ELLIPTIC CURVE

In this paper, the authors propose a solution to improve the secure of digital signature schemes, this solution is implemented on two levels of digital signature scheme construction. At the first level, the authors propose a new hard problem, this hard problem belongs to the class of hard problems for which there is currently no solution (except by “brute force attack" method). At the second level, the authors propose a method to construct new digital signature algorithms based on this hard problem.
Implementasi Metode Fuzzy Logic dan IoT untuk Klasifikasi Kondisi Kesehatan Denyut Jantung berbasis Android

Heart rate is one of the health indicators that needs to be paid attention to. With several limitations that occur among the community, such as the availability of equipment and limited knowledge, it means that many people have heart rate abnormalities that are difficult to detect early. This research aims to build a system that can be used anytime and anywhere to monitor and determine heart conditions on an ongoing basis. The system was built using the waterfall method, starting from the analysis stage, data collection, and implementation to the testing stage. This research utilizes Internet of Things technology and the fuzzy logic method to carry out health classification by defining linguistic variables, namely BPM (beats per minute), age, and user activity, and the defuzzification process to obtain heart rate condition classification results. The results of the research show that this monitoring system has been successfully built according to the design stage, namely in the form of an Android application. Testing was carried out on 14 application functionalities, and everything was as expected. This system is also able to measure and transmit heart rate data quickly to the Android application, with a heart rate measurement error of 6.6%. Apart from that, by testing using 10 data samples, the fuzzy logic algorithm was successfully implemented by producing 9 correct classifications and 1 incorrect classification.
HiCare: Aplikasi Pengaduan Kekerasan Seksual berbasis Mobile

The rise of sexual violence on campus has a traumatic impact on victims, so there is a need for a special platform that functions as a medium for reporting sexual violence. This research aims to build a sexual violence complaint application called HiCare for Android and iOS. The method used in developing this software is the Software Development Life Cycle (SDLC) with several stages, planning is carried out for system planning. system analysis is carried out by directly reviewing the running system and data collection is carried out through interviews and observations, system design to design use cases, activity diagrams and user interface design, implementation using Flutter in the implementation process, and testing with black box testing to test system suitability. The result of our findings is a mobile-based sexual violence complaint application called HiCare. The application can run well on the Android and iOS operating systems, as proven by black box testing.
DEVELOPMENT OF SMARTPHONE-BASED INTERACTIVE E-BOOK MULTIMEDIA FOR LEARNING TECHNICAL DRAWING IN VOCATIONAL SCHOOLS

This study aims to develop a Smartphone-Based Iteractive Multimedia e-Book of the draw lines learning and provide an alternative instructional media that can be used by students. This study is categorized as research and development Borg &amp; Gall model. The assessment results were obtained through the responses of 50 grade X vocational school students to interactive multimedia e-Books by conducting product usability tests, that have reached criteria “very good”. The results of this research was a product in the form of a smartphone-based interactive multimedia e-Books of the draw lines learning. E-Books also has an impact on student understanding that shown by the value of Gain with category “medium”. Therefore, e-Books can be used as an alternative instriuctional media that is feasible for students and teachers.
An Impact Assessment of Psychological Contract on Job Satisfaction, Commitment and turnover intention in Steel Industries in India

HRD practices change the capabilities of employees at all levels in an organization and in this way assume a significant role in driving advancement and development. Individuals' capabilities and how those capabilities are utilized within the organization due to advancements in the systems and processes of HR management involving HRD helps to leverage the many-fold benefits. In that trio of extraordinary capacities, HRD centers focus on learning and improvement at the individual, group, and organizational levels that happens when employees have the knowledge, competencies, skills, and attitude for getting the hang of, facing attentive challenges, sharing information, and thinking imaginatively, and when organizations offer help by managing it through effective KM[1]. Ishak et al. (2010) propose KM is fundamental for building up the human asset. It is additionally recommended that HRD is fundamental for developing the knowledge that flows through the KM framework. Hence, the purpose of this study is to investigate the pathways leading from HRD to OP through KM as a mediator and presenting a comprehensive framework for steel companies of India to strategize effective HRD practices for better and effective KM for enhanced Perf organization-wide. The main objective of this topic is to measure the effect of HRD Practice, Knowledge Management on the real organizational performance in the steel Industries in India. In this study, we have used SEM for the measure of the mediating effect of knowledge Management on HRD Practices for organizational performance. &#x0D; &#x0D; [1] https://www.intechopen.com/books/knowledge-management-strategies-and-applications/knowledge-sharing-and-human-resource-development-in-innovative-organizations#B3
A Bayesian Model and Bayesian Classification on the Data Obtained from Children's Educational Activity in the IoT Environment

Over the past decade, there has been a surge in attention and scientific inquiry regarding the implementation of technology in educational settings. One significant result of using such technology in child education is a boost in children's motivation, self-assurance, and collaborative skills. The importance of early childhood education can be considered from two perspectives - first, the ease of molding young minds in current times, and second, the long-lasting impact of education in this era. The importance of early childhood education can be considered from two perspectives - first, the ease of molding young minds in current times, and second, the long-lasting impact of education in this era. The study utilized Bayesian modeling to analyze data collected from Internet of Things technology in education. In particular, a classifier was developed to predict future educational outcomes for children using their past performance. The test data demonstrated the model's high accuracy.
Social Media Platforms Utilization Influence on The Vocational High School Students’ Learning Interests and Learning Outcomes in Computer Network Subjects

This study aims to see the influence of social media platform utilization on student learning interests (LI) and learning outcomes (LO) in the micro-learning instructional process context. The study was conducted at an Indonesian public vocational high school majoring in information technology. The subject matter used as the context in this study is computer networks subject. The method used is experimental research with the Randomized Pre-Test and Post-Test Control Group Design type. The control and experimental groups each consisted of 40 randomly selected students. LI data was collected by questionnaire, while multiple-choice items and performance tests collected LO data. This study showed that social media platform utilization significantly influenced LI (t(78) = 7.60; p<0.01; d= 1.70) and LO (t(78)= 2.36; p<0.01; d = 0.53) in the micro-learning instructional process context. The LI effect size (d = 1.70) exceeded Cohen’s convention for a large effect (d = 0.8). The LO effect size (d = 0.53) exceeded Cohen’s tradition for a medium effect (d = 0.5). This study has proven that using social media platforms in the learning process can significantly impact students’ learning interests and outcomes. However, the implications for learning interest are greater than for learning outcomes.
Perancangan Alat Peringatan Dini Banjir dengan Sensor HC SR-O4 Dan NODEMCU Berbasis IOT

With current technological advances we can minimize or possibly prevent the effects of flooding by utilizing IoT (Internet of Things). On January 1, 2020 the volume of water in Cisadane overflowed which resulted in Panungnggang Barat Village being submerged by floods reaching 2.5 meters which had reached the roofs of houses, causing residents to flee their homes, look for medicines due to itching, and lose some of their assets. Panungnggang Barat Village currently does not have a tool to warn of flooding if at any time the Cisadane river overflows, therefore this research was made to make a flood early warning tool for residents to be vigilant if at any time the volume of water in the Cisadane river overflows into settlements. By focusing on research, observation, and interviews related to the matter being researched, researchers have observed and analyzed the problems in the Panungnggang Barat Village that there are no flood early warning devices, so residents are only guessing when the flood will come. From the problems that have been described, the researcher aims to create a flood early warning tool so that it can be useful for residents of Panungnggang Barat Village if at any time the water in the Cisadane River overflows, this tool will function as a warning to residents to be prepared for floods.
Developing Innovative Nanomaterials as Adsorbents for Water Treatment and their Environmental Impact

Water treatment is paramount in tackling the increasingly pressing environmental issues associated with water contamination. The present study investigates the progression of novel nanomaterials as exceptionally effective adsorbents for water purification while also evaluating their potential ecological consequences. The significance of water treatment cannot be overstated when it comes to protecting the environment and ensuring public health. This is due to the intricate and varied pollutants that are brought into water sources from many sources of waste, such as household, industrial, and environmental concerns. Adsorbents are crucial in capturing and immobilizing contaminants, making them essential instruments in this particular setting. Nanomaterials have garnered attention as potential adsorbents owing to their notable specific surface area and adjustable features. These materials possess a large surface area, reactivity, and configurable surface chemistry, rendering them intriguing candidates for adsorption applications. This manuscript presents the Innovative Nanoparticles for Water Treatment Framework (INM-WTF). This innovative approach utilizes state-of-the-art nanoparticles to improve water treatment processes' efficiency significantly. The outcomes of the INM-WTF experiment include the following parameters: Pollutant Removal Efficiency of 96.5%, Permeate Flux of 395 L/m²h, Adsorption Capacity of 155 mg/g, Photocatalytic Degradation Rate of 85%/hour, Membrane Filtration Efficiency of 97.5%, and Water Quality Compliance of 1.7 µg/L. The results indicate significant progress in water treatment capabilities, emphasizing nanomaterials' potential to tackle environmental issues, enhance water quality, and guarantee adherence to rigorous regulatory benchmarks.
DIGITAL TECHNOLOGIES USED IN THE LEARNING PROCESS AS A WAY TO PREVENT CORRUPTION IN EDUCATIONAL INSTITUTIONS

The article initially indicates the features of public danger and conditionality of corruption in the field of education. Further, the widespread corruption acts in the teaching environment are analyzed, such as: receiving remuneration for giving positive marks on the exam; official forgery; abuse of official powers. Separate criteria for finding the boundaries between corruption and noncorruption in teaching are also determined from the standpoint of implementing the principle of expediency in teaching. Next, some aspects of the use of digital technologies in educational institutions are considered from the standpoint of preventing corruption in the field of education: the “pros” and “cons” of using information (computer) technologies in the learning process are analyzed. In particular, it is noted that the use of online technologies in the process of passing/ taking exams and tests, defending term papers and final qualifying papers minimizes the possibilities of direct (“live”) communication between the teacher and the student, as well as provide additional opportunities to check the quality of passing / taking exams in the form of electronic records in the information network. As the “disadvantages” of using digital technologies in the educational process, it is indicated that the student has the opportunity to use additional material directly when preparing and answering questions, in other words, to write off, peek, etc. It is stated that this fact, although it reduces corruption risks, does not improve the quality of education itself.
Assessment of the impact of foreign capital flows on economic growth in Algeria

Purpose. This study aims to measure and assess the impact of foreign capital flows, including foreign direct investment, external loans, foreign aid, and remittances from migrants, as independent variables on real GDP as a dependent variable in Algeria during the period 1990–2021 using the Autoregressive Distributed Lag (ARDL) time series regression model. Results. The study found the existence of a long-term relationship between the selected economic variables and their impact on real GDP in Algeria, both in the short and long term. Additionally, there is a positive effect of both independent variables representing foreign direct investment and migrant remittances on real GDP. However, there is a negative impact of external loans on real GDP, which can be explained by the misallocation of these loans, with a significant portion directed towards non-productive sectors, negatively affecting the long-term economic growth in Algeria. Scientific novelty. The primary contribution of this study is its comprehensive elucidation of all major forms of foreign capital flows to Algeria and their impact on the Algerian economy, including FDI, foreign aid, external loans, and remittances. This is important because different types of foreign capital flows have different effects on the Algerian economy. In addition, the evolution of foreign capital flows to Algeria over a long period of time, from 1990 to 2021, is studied. This made it possible to identify trends and patterns in foreign capital flows that may not be apparent in short-term studies. Practical value. The results of this study can help policymakers to design policies that maximize the benefits of foreign capital flows while minimizing the risks. And Foreign capital flows can play an important role in helping Algeria to address these challenges and achieve its economic development goals.
Implementasi Framework Streamlit Sebagai Prediksi Harga Jual Rumah Dengan Linear Regresi

This research aims to develop an Artificial Intelligence (AI)-based application using the Streamlit framework to predict house sale prices in Banjarmasin City using Linear Regression methodology. The increase in demand and supply of properties in Banjarmasin City poses a complex challenge in determining house sale prices. The Linear Regression method was chosen as the primary analytical tool to identify factors influencing house sale prices. This application utilizes historical data of house sale prices and variables such as land area, building area, number of rooms, proximity to public facilities, and geographical location as inputs for the Linear Regression model. Furthermore, the Streamlit framework is employed to create an interactive and user-friendly interface for end-users. The outcome of this research is an AI application that assists potential buyers or sellers in Banjarmasin City in determining competitive prices. By inputting information about the property being evaluated, users can obtain a more accurate estimated sale price based on factors identified by the Linear Regression model. In testing the application, actual house sale price data from Banjarmasin City was used to assess the model's accuracy. The testing results indicate that the application is capable of providing reasonably accurate price estimates, achieving an accuracy level of 67.8%. Thus, this AI application holds the potential to be a valuable tool in the property industry in Banjarmasin City, aiding stakeholders in more informed and data-driven decision-making regarding house sale prices. Additionally, this application could serve as a foundation for further developments in AI research and property price analysis.
A Study on the Satisfaction and Improvement Plan of Bilingual Chinese Master's and Doctor's Students Studying Abroad: Focusing on N University

This study aims to study Chinese master's and doctoral students in bilingual courses to find out their satisfaction with their study abroad life and suggest improvements. Using phenomenological methods, the researcher selected eight Chinese students with master's and doctoral courses in bilingualism at N University as participants in the study. Data obtained through one-on-one in-depth interviews in Chinese were analyzed using the method suggested by Colaizzi. As a result, Chinese master's and doctoral students were generally satisfied with Korean life, especially studying abroad for master's and doctoral courses, but they reported inconveniences in the fields of major classes, non-major classes, school human relations, school administration and facilities, and through these, the researcher suggested five improvement measures. This study is meaningful as basic data that supplements the gap between previous studies on bilingual master's and doctoral courses. In the future, qualitative and quantitative studies are needed on research participants from a large scale of various backgrounds.
Effects of Technology and Cybercrimes on Business and Social Media

In today’s world, technology has become an ever-growing factor in our lives and ever since COVID-19, we have seen the rise of a digital, AI, world. Technology has greatly developed, evolved, and impacted the world since 2020. It has made lives more accessible in terms of communication and interactions. Instead of commuting to work every day, many businesses turned to ZOOM or TEAMS calls. Instead of having a meet-up with friends, you could Facetime. The world was forced to move online leaving the real world behind. However, many people overlook technology’s impact on today’s world. Cybercrime and cyberattacks are some of the many problems that continue to arise. With the sudden move to the online world, cybersecurity was a term many people hadn’t grasped yet, leading many people to not understand the risk of not protecting their data online. Advancing technology has made many cybercrimes more common because people have personal information online linking bank accounts, addresses, and phone numbers left unprotected. Different cyber attacks include malware and ransomware attacks, identity theft and fraud, phishing and spear phishing, cyber espionage, cyber extortion, crypto-jacking, etc. The sectors that have been most affected are business and social media with Identity theft, spear-phishing, and fraud as leading attacks. The leading cybercrimes for these sectors are identity theft and ransomware attacks. For future generations, people have to learn about cybersecurity and cybercrime. This paper explains what cybercrime and cyber attacks are and how to protect and prevent these attacks.
The Impacts of Cybersecurity and AI on Businesses and Individuals

In today’s ever growing technological world, the protection of systems is needed and cybersecurity does just that. Cyber security is the field of prohibiting unauthorized users from accessing data, networks, and devices and keeping data safeguarded. AI or artificial intelligence plays a major part in this field since they can enhance the activities of humans more efficiently. Therefore, this paper deeply explores the specific positive and negative effects of cyber security and AI on businesses and individuals. This paper also dives deep into some tools of the field: CVE or common vulnerability and exposures and CVSS or common vulnerability scoring system. This leads the paper to discuss two major cyber incidents from JP Morgan and Chase and Microsoft Exchange Data Breach and the attacks used. These incidents displayed the need for a more vigorous cyber security. A few of the attacks these companies encountered and more types of attacks are explained in this paper as well. In addition, this paper informs about the specific effects cyber breaches can have on companies. This paper revealed that cybersecurity can positively affect businesses and individuals through mitigating attacks, securing data, making data accessible to only those who are allowed, and better quality of life and negative effects include high costs, more management, user inconvenience, constant new threats, and human error. The negative effects of AI include analyzing personal information, target vulnerabilities, mislead individuals, impersonate humans, and provide false information and positives include network intrusion detection products, threat hunting, vulnerability management, and data centers.
Optimasi Pelayanan Kapal Penumpang melalui Clustering Penumpang dengan Metode Silhouette Coefficient

Improving the efficiency of passenger ship services is a big challenge for the shipping industry. This research aims to optimize ship passenger services at Muara angke port by segmenting passengers using the Silhouette Coefficient method. This research uses the k-means algorithm and the Silhouette Coefficient method in order to get passenger clusters based on boarding passengers and disembarking passengers. The Silhouette Coefficient method in this research is used to find the number of clusters. The dataset used is passenger data from January 1 - December 31, 2021. The results showed that 2 clusters were obtained, namely the highest cluster (C1) and the lowest cluster (C2) from the k-means algorithm with the results of the centroid value obtained for cluster 1 passengers up, namely 53,414 and passengers down, namely 54,585, the centroid value obtained for cluster 2 passengers up, namely 596,396 and passengers down, namely 532,455. The value with the Silhouette Coefficient method is obtained 0.704 in cluster 1 for the highest cluster there are 2091 data with a percentage value of 57.27% and 0.548 in cluster 2 for the lowest cluster there are 1560 data with a presentation value of 42.73%. The Silhouette Coefficient value is close to the value of 1, which means that the Muara angke port is good enough in optimizing passenger services.