Reviewerly/exHarmony huggingface dataset:
Exploration of Knowledge and Community Preparedness in Flood Disaster Mitigation

Floods are natural disasters that should be highly considered due to their threats to human lives and the economy. It is also the third largest natural disaster in the world, which has claimed many lives and properties. Therefore, this study aims to identify community knowledge about floods and determine the efforts to increase preparedness strategies. A qualitative study was conducted in the village of Sapanan, Binamu District, Jeneponto Regency, Indonesia. Subsequently, data collection was carried out by observation, interviews, and documentation with various selected informants. Based on the results, the following were obtained, 1) The level of knowledge and actions performed by the Sapanan people was quite good regarding flooding. This was due to the experience of the community with the disaster, which they had decided to use as a learning platform, 2) The impacts often caused after flooding were the outbreaks of many diseases, which hindered the community from performing their usual activities. This was because they were busy cleaning their homes, with children consequently unable to attend school regarding the muddy state of the chairs and environment, and 3) The community's efforts to increase preparedness for the disasters included land use monitoring and prone location planning in safe areas. In this case, the level of knowledge and actions performed by the people of Sapanan village was quite good concerning flooding. This was because of their numerous experience with the disaster, which they had decided to use as a learning platform.&#x0D; Keywords : knowledge; preparedness; the community; flood&#x0D; &#x0D; Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember&#x0D; This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Meningkatkan literasi membaca bangsa melalui pembuatan taman bacaan masyarakat di Kampung Pesisir

One of Indonesia's current learning and development reforms is aimed at eradicating illiteracy with significant results. Unfortunately, the government's success in eradicating illiteracy and expanding access to education has not been followed by success in cultivating a reading culture in society, so that the literacy level of the Indonesian people is still relatively low. One effort that can be done is to create a community reading park (TBM). Community Reading Centers (TBM) have an important role in developing a reading culture in the community, because they are considered as a means for the community to obtain or access reading materials easily. The provided reading material is capable of transforming a listening society into a reading society. Through the activity of making a community reading garden in this coastal village, it is hoped that it will be beneficial for the community in the future to increase reading literacy, namely 1) knowing the causes of low community reading literacy, 2) increasing community reading literacy, 3) adding community reading facilities, 4) improving community skills through activities community reading garden.
Naïve Bayes-Support Vector Machine Combined BERT to Classified Big Five Personality on Twitter

Twitter is one of the most popular social media used to interact online. Through Twitter, a person's personality can be determined based on that person's thoughts, feelings, and behavior patterns. A person has five main personalities likes Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. This study will make five personality predictions using the Naïve Bayes method – Support Vector Machine, Synthetic Minority Over Sampling Technique (SMOTE), Linguistic Inquiry Word Count (LIWC), and Bidirectional Encoder from Transformers Representations (BERT). A questionnaire was distributed to people who used Twitter to collect and become a dataset in this research. The dataset obtained will be processed into SMOTE to balance the data. Linguistic Inquiry Word Count is used as a linguistic feature and BERT will be used as a semantic approach. The Naïve Bayes method is used to perform the weighting and the Support Vector Machine is used to classify Big Five Personalities. To help improve accuracy, the Optuna Hyperparameter Tuning method will be added to the Naïve Bayes Support Vector Machine model. This study has an accuracy of 87.82% from the results of combining SMOTE, BERT, LIWC, and Tuning where the accuracy increases from the baseline.
Analisis cara kerja bahasa pada konsep facelift Avanza-Xenia melalui pendekatan struktur visual

In the context of design diversification, exploring forms to optimize product operations is no longer sufficient.One of the goals of design diversification is to emphasize meaning that goes beyond just the function of a product.This provides an understanding of how the product communicates with users.Design development aims at how design can communicate and persuade.Therefore, communication is related to the language system.This paper aims to analyze how the language system works which applies equally to product design.In this context, the product acts as text.The product sample selected in this study is the second-generation Avanza-Xenia car based on the consideration that the car is one of the cars that has a facelift concept with many variants.The study uses a visual structure approach.The analysis is carried out by extracting the structural elements of the car into the main elements and supporting elements, then matching them to the text structure.The results of the study show that providing multiple design variants on supporting elements of the car is the same as using alternative words to emphasize meaning.
A study for the development of the evaluation indicators for the middle-aged and elderly lifelong education program based on the Kirkpatrick model

이 연구는 최근 들어 중장년층을 위한 교육 프로그램에 대한 요구와 필요성이 높아짐에 따라 다양한 평생교육기관들이 제공하는 중장년층 대상 평생교육 프로그램의 성과를 종합적이고 체계적으로 평가하기 위한 평가지표를 개발하는데 목적을 두고 수행되었다. 이를 위해 우선 문헌연구를 통하여 교육프로그램 평가모형의 전형이라고 할 수 있는 Kirkpatrick 평가 모형 및 이를 활용한 선행연구에 대한 분석을 실시하였고, 국내외 사례 분석을 통하여 평가지표 초안을 개발하였다. 그리고 개발된 평가지표 초안를 토대로 교육담당자 FGI와 델파이조사를 통한 타당화 과정을 거친 후 최종적으로 반응평가, 학습평가, 행동평가의 3개 영역, 11개 항목, 51개 지표로 구성된 중장년층 대상 평생교육 프로그램 평가지표를 개발하였다. 그리고 이 연구를 통하여 개발된 평가지표를 실제 평가에 적용할 경우 상대평가가 아닌 교육프로그램 참여를 통하여 일정 기대 수준에 도달하였는지 여부를 확인하기 위한 목적으로 평가 결과를 활용할 필요가 있으며, 각 기관이 평가 지표를 통하여 프로그램 운영 및 성과에 대한 환류 역량을 함양할 수 있는 지침으로 활용할 필요가 있음을 시사점으로 제안하였다.This study aims to develop evaluation indicators to evaluate the performance of lifelong education programs for middle-aged and elderly people provided by domestic lifelong educational institutions. To achieve the purpose, first of all, this study conducted the literature review on the Kirkpatrick evaluation model and previous studies, and the 1st evaluation indicators were developed through a case study on the domestic and foreign lifelong education programs. And, this study implemented a validation process through FGI and Delphi surveys by the field education coordinators, and then the evaluation indication was finalized with 3 areas, 11 items, and 51 indicators. Based on the above process, this study tried to provide useful policy implications for utilizing those indicators and suggestions for lifelong education institutions to improve the performance of the lifelong education program for middle-aged and elderly people.
Pengembangan Konten Pembelajaran Berbasis Canva pada Pokok Bahasan Asam-Basa

The use of technology in education has been widely used in the development of media and learning content. One application that can support the learning process is Canva. The purpose of this research is to describe the use of Canva media in creating innovative and creative digital-based learning content on acid-base topics using applications. The research method uses a descriptive qualitative approach and literature study as a result of utilizing existing features in Canva-based applications with the IDI (Instructional Development Institute) model. The result of this research is the creation of learning content with the subject of acid and base which is interactive and easy to understand by students. The conclusion is that teachers can take advantage of the features available in the Canva application to improve learning content so that learning activities are more interactive.
The Influence of Knowledge, Attitude, and Action on Fire Disaster Preparedness in Palu City Health Center

This study aims to determine the effect of knowledge, attitudes, and actions on fire disaster management at the Palu Health Center. The type of research used was observational with a cross-sectional study design. The population of this study was all workers at the Palu City Health Center, totaling 81 people. The sample was taken based on a total sampling of 81 people and collecting data using questionnaires and observation sheets. Data analysis was performed using univariate, bivariate, and multivariate analysis using chi-square and likelihood tests to determine the relationship between variables and logistic regression tests to determine the most influencing variables. The results showed that there was no relationship between knowledge (p=0.774) and attitude (p=546) with fire prevention preparedness at the Palu City Health Center, and there was a relationship between action (p=0.028) and fire prevention preparedness at the Palu City Health Center. The most influential variable was the action variable (p=0.021). We suggest that the Palu City Health Center increase knowledge related to fire safety, emergency situations (fire) preparedness, and actions in overcoming fires for its employees.
Retracted: Application of the Iot Network and the Deep Learning Concept in Music Teaching

Application of the Iot Network and the Deep Learning Concept in Music Teaching" [1] due to concerns that the peer review process has been compromised.
Awareness of Cybersecurity: A Case Study in UiTM Negeri Sembilan Branch, Seremban Campus

Cybersecurity is a problem that is rarely discussed by the public, especially among university students in Malaysia. This study aims to determine the significant differences of cybersecurity awareness between genders and to investigate the significant predictors of the cybersecurity awareness. This study adopts a cross-sectional methodology among UiTM Negeri Sembilan, Seremban Campus students (n=201, 19 to 25 years old) using a questionnaire. The results show that male and female students have the same level of cybersecurity awareness. Meanwhile, gender, age, marital status, faculty, type of social media used, hours spent on social media, attitude and environmental factors do not in any way affect the awareness of cybersecurity among students. The results further show that it is only the knowledge factors that differentiate cybersecurity awareness among them.
Pemanfaatan RFID (Radio Frequency Identification) Tag Sebagai Alternatif Efektifitas Pemantauan Kehadiran Warga Sekolah di SMK Swagaya 2 Purwokerto Berbasis Website dengan Menggunakan Metode Uji Kualitas Mccall’s Quality

Along with technological developments that are growing very rapidly, all people or agencies need changes in their work processes to follow technological developments, one of which is, population data processing is an important activity that is carried out continuously by the SMK Swagaya 2 Purwokerto. When the current system often encounters difficulties in the attendance process, finding duplicate data for absences because they forget that they have been absent and then absent again, waste paper used. The purpose of this study was to build an attendance system at SMK Swagaya 2 Purwokerto. The Attendance Information System uses RFID where the user uses a tag card that can detect data about the person. Techniques in collecting data using direct or indirect observation methods and interview methods. The development of an information system is expected to help SMK Swagaya 2 Purwokertoin processing data for Principals, Employees or Teachers, Students during attendance, reducing paper waste and paper waste and can shorten operating time. With the existence of storage media in the form of a good database, it is expected to increase the efficiency of the Swagaya 2 Purwokerto Vocational School with the presence of an attendance information system, which is faster and the application used can provide convenience for users.
PKM INTERNSHIP STUDENT COMPETENCY TRAINING IN THE FIELD OF PHOTOSHOP CS 6 GRAPHIC DESIGN

In this era of increasingly advanced technological development, skills and competencies in the digital field are increasingly needed to remain capable to compete in the future. One way to get these skills is to take vocational education in the field of computer technology. However, many vocational education graduates are not ready to work and lack competence. This training program activity aims to further strengthen students' competencies and provide students with experience in the world of work. At the end of the program, participants gain additional knowledge, experience and understanding of computer competence as well as an overview of a professional work ethic.
Designing E-Book Based on TBL (Task Based Learning) for TEC (Totality English Course)

The purpose of this research was to design an electronic book for Totality English Course that was called TEC BOOK. TEC BOOK was electronic book that was based on TBL for students in beginner level. The method of the research was Research and Development method. The researcher chose ADDIE to be the model of this research. ADDIE was model of research that consists of analysis, design, development, implementation, and evaluation in the steps. The approach of this study was quantitative and qualitative. Interview was used by the researcher to collect the data of need analysis, and questionnaire for collecting the data of implementation product. The subject of this research was the beginner students of Totality English Course (TEC). The result of need analysis showed that students needed a book to study in the course to make the study became more effective and interesting than before. The result of need analysis was supported by the result of implementation. The result showed that (90,76%) students of Totality English Course (TEC) were strongly agree about the implementation of TEC BOOK in TEC. The result of development showed that TEC BOOK got (82%) in validation of media and got (94%) in validation of material. It means that the media and material in TEC BOOK was valid. Based on that result TEC BOOK was ready to be used by the students of TEC in studying English.
High Security Image Cryptographic Algorithm Using Chaotic Encryption Algorithm with Hash-LSB Steganography

In the latest, digital images are frequently used for storage, communication, medical imaging, etc. Such images possibly involve private data, which accordingly handed an important role to information security. Image encryption and steganography are two widely used techniques for providing information security. Cryptography is the technique of protecting information by encryption and decryption. In steganography, the message is inserted in an image with changes entitled a cover image. The principal purpose of the study is to improve the current secure data communication techniques, by combining cryptography with steganography. Steganography and cryptography are two examples of the multiple methods used to guarantee secrecy and privacy throughout data communication. The suggested approach achieves encryption and decryption utilizing chaotic encryption technique and employing hash-least significant bit (HLSB) as steganography which is a significant method of embedding data bits in LSB bits of RGB pixels of the cover image. &nbsp;The suggested image encryption method is validated by experimental results to be highly secure and resistant to a variety of attacks. Additionally, compared to several conventional picture encryption techniques, it offers higher performance. Peak signal-to-noise ratio (PSNR)&nbsp;and mean square error (MSE)calculations are used to provide security evaluations. PSNR is infinite and MSE is 0 for a secret image. PSNR and MSE for the cover image are&nbsp;65 and 0.02 dB respectively. The results of this research reveal a high level of similarities between stego and cover images, and between recovered and secret images, as seen in the histogram analysis of secret images. These techniques are accomplished effectively by using the MATLAB program.
Aplikasi Penjualan Online Pada Pempek Flamboyant Berbasis Web

In the current era of globalization, where everything is required to be fast-paced, so time is a very valuable thing. Using time properly and correctly will certainly improve business performance, therefore management is needed that can help minimize inefficient use of time. The flamboyant pempek shop has not used a computer application that can assist in sales transactions. The customers of the flamboyant pempek shop are residents around the city of palembang, with the development of technology, palembang pempek as a special food, began to be attracted by many people outside the city of Palembang. So the researchers took the initiative to develop a mobile-based system at the flamboyant pempek shop. The methodology used to design this system is Extreme Programming. The use of the up-selling method in programming is used to increase and facilitate sales of the flamboyant pempek shop. The final result of this research is a web-based application
PROTOTYPE SMART TIME SCHEDULER LAMPU LALU LINTAS MENGGUNAKAN ALGORITMA HAAR CASCADE

The traffic light functions as a traffic controller at crossroads and also as smoothness at intersections to avoid congestion. The current application of conventional traffic lights still has weaknesses in determining the duration of traffic lights which are not adjusted to the number of vehicle volumes which often change every time. Especially when there is a dense flow of vehicles at intersections, especially at certain times. Based on observations of traffic density at the intersection that connects Soekarno - Hatta road and Arifin Achmad road in Pekanbaru City. There is often a high density of vehicles from the direction of Jalan Soekarno-Hatta (Morning Market) to Jalan Jenderal Sudirman during working hours so that the duration of the traffic lights cannot reduce the amount of queue density in the light traffic. The implementation of the Smart Time Scheduler is a solution for adjusting the duration of traffic lights based on the level of traffic density, by building a tool to detect and calculate the number of vehicle queues at the Traffic Light and then enter the calculation results into 3 categories, namely Normal, Medium and Dense Density. The system uses Haar Cascade with the open cv library on the Raspberry pi, the results of the system testing that has been carried out can count the number of vehicles and instruct Arduino to set the duration of the traffic lights where in the category of normal vehicle queues, the green traffic light gets a waiting time of 10 seconds in countdown, Moderate category for 15 seconds, and Solid Category, for 20 seconds, while the calculation error value uses the Error Percentage equation formula, namely comparing the results of vehicle calculations by the system with Manual Calculation Results multiplied by 100% Then the System Calculation Error is 16% and the accuracy level of the tool is 100% - 16% = 84%, the size of the error value is influenced by the quality of the light intensity, and the distance of the camera's detection of the object when performing the detection.
IMPLEMENTASI SISTEM INFORMASI ABSENSI GURU PADA SMK NEGERI 4 KOTA SORONG

SMK Negeri 4 is a vocational-based high school located in Sorong, West Papua - Indonesia. Paper-based attendance system for teachers is considered to be a major challenge as it is not effective in database management. In the era of technological development, analysis of the productivity and efficiency of teacher and administrator in schools required a web-based administration system. The purpose of this activty is to design and build an online presence system for employees at SMK Negeri 4 using the waterfall method. This procedure is done in the sequentially. The results of the design are accurate, quality and effective data in administrative archiving, and the report can be directly controlled by head-master. The conclusion is web-based attendance system for teacher at SMK Negeri 4 makes it easy to access information and efficient data archiving
Detection of Trickbot and Emotet Banking Trojans with Machine Learning

Internet banking is getting more popular with the increasing number and demand of online banking customers. Almost all transactions that could be performed in bank branches could also be realized through internet banking. Internet banking, which has become widespread with the increasing use of the Internet, has also led to an increase in cases of financial fraud. This has made the protection of personal data and the security of banking services more important than ever. It is very important for institutions and organizations providing online banking services to take security measures in their systems. Cybercriminals target internet users with methods such as malware infection, botnets, spam, phishing, identity theft, and social engineering that they use and develop every day. Therefore, there are always potential risks in using internet banking. Banking viruses commonly used by cybercriminals today are TrickBot and Emotet. Nowadays TrickBot and Emotet are popular banking trojans which gives hard times for online banking customers. Their primary goal is to steal user’s banking and personal information. In this study, we will investigate the behavior analysis and new tricks of TrickBot and Emotet banking viruses, which use different methods to compromise the security of online banking customers. We benefited WEKA program to detect these banking viruses. In addition to this, we also focused on the detection of TrickBot and Emotet Banking viruses with using Random Tree, J48, Naive Bayes, SMO Techniques.
An Improved Monarch Butterflfly Spectrum Allocation Algorithm for Multi-Source Data Stream in Complex Electromagnetic Environment

Abstract In the era of the Internet of Everything, various wireless devices and sensors use spectrum, which is a precious and non-renewable resource, to communication. Due to the characteristics of massive, heterogeneous, and multi-source, the generated multi-source data stream brings diffiffifficulties to spectrum cognition. As a result, unreasonable spectrum allocation strategy leads to low utilization of spectrum resources. Optimizing spectrum allocation strategy can effffectively improve spectrum utilization. Aiming at the problem of trapped local optimum solution in the genetic algorithm(GA) and particle swarm optimization algorithm(PSO), an improved monarch butterflfly algorithm is proposed. Firstly,this paper employs the simulated annealing algorithm to select the migration rate, which increases the diversity of monarch butterflfly population. Secondly, chaos mapping algorithm is utilized to improve the optimization ability and convergence speed. Finally, for the non-renewal mechanism of monarch butterflfly algorithrm, the wandering behavior of wolf pack algorithm is introduced to update the population and improve the population diversity. The experimental results show that the improved monarch butterflfly algorithm outperforms the other two algorithms in terms of convergence speed and system revenue.