Reviewerly/exHarmony huggingface dataset:
Analysis of e-learning user satisfaction at XYZ University in the new normal era of the covid-19 pandemic

In 2020 Indonesia implemented a new normal policy as a form of adaptation to the Covid-19 pandemic. In the new normal period, XYZ university uses e-learning as one of the distance learning media to deliver learning materials to students. This study aims to analyze the factors that affect student satisfaction in using e-learning. The End-User Computing Satisfaction (EUCS) model is used as a research model. The data was taken through the dissemination of questionnaires using google from 249 respondents consisting of students from three study programs. From the data obtained, analysis was carried out using the Structural Equation Model (SEM) with SmartPLS software. The results showed that the Content, Ease of Use, and Timeliness variables had a positive and significant effect on User Satisfaction while the Accuracy and Format variables did not have a significant effect on User Satisfaction
Web based yogyakarta food recipe application using sdlc waterfall method

Cooking is the process of processing food ingredients and seasonings to be used as a variety of dishes. Cooking can be done by anyone. When cooking, recipes are needed as a reference to process food ingredients into a dish. A recipe in the modern sense is defined as a set of instructions that tell how to prepare and cook food, including a list of what foods are needed . Yogyakarta has a variety of culinary delights. With the passage of time, Yogyakarta's specialties are displaced by foreign food entering Yogyakarta. The Recipe application contains a variety of recipes for typical Yogyakarta food. This research aims to help the community in making Indonesian culinary food, especially the Yogyakarta food menu. The application is created web-based using PHP programming language and mysql database. For the software development method, which is carried out is using the Software Development Life Cycle (SDLC) Waterfall method. The first stage carried out is planning, design stages, implementation and trials. Based on the test results using a black box, the system created has functional features according to what is expected. The system features login, Manage recipe data, Manage category data and Manage comment data.
PENGIMPLEMENTASIAN SISTEM INFORMASI MANAJEMEN DI PERGURUAN TINGGI

The rapid development of technology has made all operational activities dependent on technology. Technology seems to be a basic requirement that is used in various fields. To keep abreast of technological developments, North Sumatra Negri Islamic University (UIN SU) as an IT-based educational institution uses a Management Information System (SIM) to support its staff and students. to run its business effectively and efficiently. Of course, the use of a management information system (MIS) requires a program or brain activator, without brain software, management information systems (MIS) cannot be used optimally. Therefore, Brainware is an important part of the Management Information System (SIM) in the operation of the State Islamic University of North Sumatra (UIN SU). The task of higher education is not only to organize teaching and learning activities. But also conducting research or studies in various departments. However, research from start to finish requires significant resources. In addition, research often requires high costs. However, the existence of rapidly growing information technology offers new opportunities. So that the implementation of various studies can be carried out effectively and efficiently. The participation of information technology in the world of education brings changes to the learning function. In higher education, the learning process using information and communication technology must be offered as a center for continuing education.
Classification of tourism business certification institution auditors based on the decision tree algorithm C4.5: case study of LSUP XYZ

Auditors who have appropriate competence are needed to carry out certification. The amount of experience a person has before becoming an Auditor determines the competence possessed by an Auditor. To be assigned to carry out certification, an auditor needs special competencies such as areas of expertise, work experience, and the Schemes and Standards that become the reference for certification. Auditors owned by LSUP need to be classified so that they can be assigned according to their competence. The C4.5 Decision tree algorithm is one of the methods that can be used to create a model used to classify and predict auditor competence. 65 data from 221 data are used as training data to form a model in the form of a tree structure. This model consists of 3 attributes that form a Node in a tree structure, namely the Workplace, Skill and Standard attributes. Each attribute has a value that forms a branch. The model was evaluated using the Confusion Matrix with a matrix size of 7x7 which resulted in a TP value of 99, FP value of 121, FN value of 121, and TN value of 1199. The accuracy level of this model is quite good, namely 84%. But the Precise and Recall values are not very good, only 45%.
The Main chalenges of the teaching-learniong process, the main directions of creative thinking, solving the problrm creatively

Modernc approaches have significantly chandes the exiting methods in the teaching-learning process, which means that when planning a lesson, it is an important process to plan it based on the interests of the student.
Strategi Pembelajaran Pendidikan Agama Islam pada Peserta Didik Berkebutuhan Khusus

The purpose of this study was to describe learning planning, implementation of learning, and evaluation of Islamic religious education learning at SLB Negeri Gunungsari Boonegoro during the COVID-19 pandemic. This study used qualitative research apprtoaches with descriptive methods. The data collection methods are interviews and documentation. The data were collected by interviews and documentation. The data analysis technique used an interactive analysis model which included four components, namely data collection, data reduction, data presentation and drawing conclusions. This study found that (1) planning lessons for blind and mentally retarded students, analyzing effective days, compiling syllabus, planning learning programs and conducting assessments, teachers are more concerned with the availability of visual aids as media in the learning process; (2) the implementation of learning for blind and mentally retarded students emphasizes direct application or practice of reading iqra' for mentally retarded and procedures for carrying out prayers for the blind with concrete objects or real objects; (3) evaluation of learning outcomes of Islamic religious education for blind and mentally retarded children evaluation is more measured from the results of direct observation and practice.
The Role of Class Supervisor in the Process of Transition of Pupils with Special Needs

Throughout the life people have to transit from one stage to another which is called transition. This is the stage when the individual needs of every child should be maximally taken into consideration. It ensures equal envolvement of pupils with various abilities in educational process in order that one of the fundamental right of a person-the right of education be satisfied. Desired outcome of early inclusive education , among them for children of special needs and their families is&nbsp; the feeling of belonging, positive soacial relations ,learning and development promotion. First steps of pupils at school are started with the relation of class tutor. It is crucially important that fist touch with the school must be positive, interesting and motivating for thurther learning. That’s why class supervisor’s&nbsp; role is very important, with whom a child begins the transition process and for simplifying this process she has a big part. The aim of a class tutor’s work is to help pupils to attain national purposes of general education and develop personal, moral, mental and physical opportunities. In order to find out the role of a class tutor in the the process of transition of pupils with special needs and to investigate/analyse&nbsp; their dependence towards this isue we carried out&nbsp; a research in&nbsp;&nbsp; 5 public schools of Telavi and interviewed&nbsp; class supervisors. Before visiting schools we had communication with school principals in order to inform them about the issue. The artcile deals with the existing situation in schools, research results are interesting and should be provided by the researchers interested in this issue.
Learning a Multimodal 3D Face Embedding for Robust RGBD Face Recognition

Machine vision will play a significant role in the next generation of IR 4.0 systems. Recognition and analysis of faces are essential in many vision-based applications. Deep Learning provides the thrust for the advancement in visual recognition. An important tool for visual recognition tasks is Convolution Neural networks (CNN). However, the 2D methods for machine vision suffer from Pose, Illumination, and Expression (PIE) challenges and occlusions. The 3D Race Recognition (3DFR) is very promising for dealing with PIE and a certain degree of occlusions and is suitable for unconstrained environments. However, the 3D data is highly irregular, affecting the performance of deep networks. Most of the 3D Face recognition models are implemented from a research aspect and rarely find a complete 3DFR application. This work attempts to implement a complete end-to-end robust 3DFR pipeline. For this purpose, we implemented a CuteFace3D. This face recognition model is trained on the most challenging dataset, where the state-of-the-art model had below 95% accuracy. An accuracy of 98.89% is achieved on the intellifusion test dataset. Further, for open world and unseen domain adaptation, embeddings learning is achieved using KNN. Then a complete FR pipeline for RGBD face recognition is implemented using a RealSense D435 depth camera. With the KNN classifier and k-fold validation, we achieved 99.997% for the open set RGBD pipeline on registered users. The proposed method with early fusion four-channel input is found to be more robust and has achieved higher accuracy in the benchmark dataset.
Sentiment Analysis and Text Classification for Depression Detection

Depression is an illness that can harm someone's life. However, many people still do not know that they are having depression and tend to express their feelings through text or social media. Thus, text-based depression detection could help in identifying the early detection of the illness. Therefore, the research aims to build a depression detection that can identify possible depression cues based on Bahasa Malaysia text. The data, in the form of text, has been collected from depressed and healthy people via a google form. There are three questions asked which are “Apakah kenangan manis yang anda ingat?”, “Apakah rutin harian anda?” and “Apakah keadaan yang membuatkan anda stress?” which obtained 172, 169 and 170 responses for each question respectively. All the datasets are stored in a CSV file. Using Python, TF-IDF was extracted as the feature and pipeline into several classifier models such as Random Forest, Multinomial Naïve Bayes, and Logistic Regression. The results were presented using the classification metrics of confusion matrix, accuracy, and F1-score. Also, another method has been conducted using the text sentiment techniques Vader and Text Blob onto the datasets to identify whether depressive text falls under negative sentiment or vice versa. The percentage differences were determined between the actual sentiment compared to Vader and Text Blob sentiment. From the experiment, the highest score is achieved by AdaBoost Classifier with a 0.66-F1 score. The best model is chosen to be utilized in the Graphical User Interface (GUI).
Navigating the Complex Landscape of IoT Forensics: Challenges and Emerging Solutions

With the increasing proliferation of the Internet of Things (IoT) devices, digital forensics professionals face numerous challenges whilst investigating cybercrimes. The vast number of IoT devices, the heterogeneity of their formats, and the diversity of the data they generate make the identification and collection of relevant evidence a daunting task. In this research paper, we explore the complex landscape of IoT forensics, highlighting the major challenges and emerging solutions. We start by listing the available digital forensics models and frameworks. We then delve into evidence management during different IoT forensic investigation stages such as Identification, Acquisition, Preservation and Protection, Analysis and Correlation, Attack and Deficit Attribution and lastly Presentation. Furthermore, we highlight the current challenges, open issues and major security and privacy concerns related to IoT forensics. Finally, we review the state-of-the-art in IoT forensics, exploring the possible solutions proposed in recent literature. Overall, this paper provides a comprehensive overview of the current IoT forensics ecosystem, the challenges, and proposes the latest possible solutions, which is critical for ensuring the security and integrity of IoT-enabled critical infrastructures and can serves as a valuable resource for researchers and practitioners in the field
Deep learning based MobileNet and multi-head attention model for facial expression recognition

Facial expressions is an intuitive reflection of a person’s emotional state, and it is one of the most important forms of interpersonal communication. Due to the complexity and variability of human facial expressions, traditional methods based on handcrafted feature extraction have shown insufficient performances. For this purpose, we proposed a new system of facial expression recognition based on MobileNet model with the addition of skip connections to prevent the degradation in performance in deeper architectures. Moreover, multi-head attention mechanism was applied to concentrate the processing on the most relevant parts of the image. The experiments were conducted on FER2013 database, which is imbalanced and includes ambiguities in some images containing synthetic faces. We applied a pre-processing step of face detection to eliminate wrong images, and we implemented both SMOTE and Near-Miss algorithms to get a balanced dataset and prevent the model to being biased. The experimental results showed the effectiveness of the proposed framework which achieved the recognition rate of 96.02% when applying multi-head attention mechanism
Consumptive Credit Accounting Information System Design at PT. Metro

This research is motivated by the problem of low performance of a company at PT. METRO is a credit sales technique for customers who process payment data, so data processing takes a long time. Therefore, with the implementation of the Consumptive Credit Accounting Information System application that has been designed, in the form of reports that can be presented quickly such as customer reports, credit payments and suppliers. Each system is designed to provide supervision and convenience for all transactions carried out by a company so that a company's performance runs effectively and efficiently.
Study on Assessment and Improvement of Physical Fitness and Health Concept and Satisfaction of College Students with Different Goal Setting by Cooperative Learning: A Case Study of Health and Body Sculpting Course of Feng Chia University

This study was to carried out to explore the effects of different goal setting on physical fitness, health concepts, and satisfaction of college students on cooperative learning with 53 participants (students) in two classes during one year. The improvement in physical fitness was observed in body mass index (BMI), waist and hip circumference, sit-up reach, and 800/1600 meters running. Female students’ muscle endurance improved significantly with one-minute sit-ups but their waist and hip circumferences were longer than those in the weight management group. Students showed the highest scores in the dimension of well-being and the lowest score in the clinical concept of health. The satisfaction survey result showed that teachers' instruction was more effective than self-learning. In conclusion, cooperative learning allowed students to improve learning motivation, thereby improving physical fitness and learning effectiveness. It was verified that cooperative learning had a positive and significant impact on the satisfaction of students. The cooperative learning teaching mode can be applied to other physical education courses. Increasing the number of related physical education courses will improve the opportunities to improve the quality of the courses.
Understanding of Junior High School Students in Banda Aceh City About Traffic Signs, and the Obligation to Have A Driving Permit

The purpose of this study is to describe the understanding of junior high school students in Banda Aceh City about traffic signs and the obligation to have a driving license. The focus of this research: 1). How do students understand about traffic signs. (2) How is the student's understanding of the obligation to have a driver's license for motorists. Research using qualitative descriptive method. The research subjects for junior high school students in Banda Aceh City were 14 students. Research subjects are determined arbitrarily according to research needs. Data collection techniques using free interviews where students can be found. The results of the study used narrative analysis of all interview results through three stages, data reduction, data presentation and drawing conclusions. The results of the study showed that: (1) Banda Aceh Junior High School students' understanding of traffic signs was still low. Many students still do not understand traffic sign symbols. (2) The understanding of junior high school students in Banda Aceh City regarding the obligation to have a SIM in general is good, but students who become their informants say they do not have a SIM, and they are forced to use motorized vehicles for school due to the distance from where they live to school and their parents. permit driving a motorized vehicle to school to make it easier for parents of students to shuttle from home to school and vice versa. This research should be continued with parents regarding education in the family, especially regarding aspects of traffic according to applicable regulations.
PROGRAM PELATIHAN GURU BAHASA INDONESIA DALAM MENINGKATKAN KETERAMPILAN MEMBACA PUISI DENGAN MODEL AMATI, TIRU, DAN MODIFIKASI MENGGUNAKAN MEDIA VIDEO PEMBACAAN PUISI PADA SISWA KELAS X DAN XI SMA NEGERI 2 TELUK KERAMAT

Community Service Activities in the form of "Indonesian Language Teacher Training Program in Improving Poetry Reading Skills with Observe, Imitate, and Modify Models Using Poetry Reading Video Media for Class X and XI Students of SMA Negeri 2 Teluk Keramat" went well and according to plan. The participants who attended were very enthusiastic about participating and were very communicative when discussing with the presenters, even though SMA Negeri 2 Teluk Keramat only had two Indonesian language teachers.
Credit Loan Payment Accounting Information System at PT BPR Duta Adiarta Medan

To keep abreast of technological developments, especially computers and achieve competitive advantage, BPR DUTA ADIARTA MEDAN requires a form of presenting information and reports that can be accessed quickly, precisely and accurately to support decision making and improve service to customers who make loans. used is the Observation method carried out by literature study, interview method; design method using Data Flow Diagrams (DFD), structural charts. The results of the research are poured into the Accounting Information System for Credit Loan Payments at BPR DUTA ADIARTA MEDAN. which is expected to provide convenience in processing data and creating reports that can assist BPR DUTA ADIARTA MEDAN in analyzing and making decisions.
Peningkatan Pemanfaatan Perpustakaan melalui Reward pada Program Literasi Sekolah di Sekolah Dasar Negeri Cibinong 05

This study aims to determine whether Reward can increase the use of the library at SDN Cibinong 05. Theoretically, it is expected to provide insight and enrich studies on efforts to increase the use of school libraries. The type of research is School Action Research. Data collection techniques by interview, observation, study documentation. Data validation using Triangulation. The data analysis technique used the Miles and Huberman model. The results of the study stated that the average percentage of library utilization in the initial state of 25% was in the low category. Cycle 1 action is to give rewards in the form of certificates of appreciation to students who are most active in using the school library, this action is able to increase the utilization of the school library with a percentage of 41.5% in the medium category, but not in accordance with the established indicators of success. Cycle 2 action by giving rewards in the form of certificates of appreciation and school stationery to the 3 students who were the most active in using the school library, this action was able to increase the utilization of the school library with a percentage of 53% in the medium category and had reached the set indicators. This study concluded that rewards can increase the utilization of the school library at SDN Cibinong 05.
Pembelajaran Tell Me What You See (Lihat Ucap) dalam Meningkatkan Kemampuan Menceritakan Tokoh Idola pada Siswa Kelas VII SMPN 1 Kediri Tahun Pelajaran 2022

Learning to tell me what you see (see word) aims to provide opportunities for students to develop existing abilities by giving freedom of imagination in telling about idol figures. Based on the results of the documentation obtained information that from 26 students of class VII such as class VII C the average score obtained is only 7.03, while the maximum classical completeness score (KKM) determined by the teacher is 7.0. The data collection instruments in this study were test, documentation, and observation techniques. The data analysis used in this research is descriptive quantitative. From the results of data analysis, it can be concluded that individually in the learning process telling about idol figures has not been satisfactory, the highest score is 80 and the lowest score is 56. If categorized, 17 students with high ability or 61.54%, moderate ability will be obtained. as many as 9 people or 38.46% and those with low abilities did not exist or 0%. In the group (GPA) including Normal with a value of 68.31. In the first cycle, it was quite satisfactory, namely the highest score was 80 and the lowest score was 64. If categorized, it would be obtained students who have high abilities as many as 24 people or 92.31%, moderate abilities 2 people or 7.69% and those with low abilities do not exist or 0 %. In the group (GPA) Normal with a value of 73.23. While in the second cycle it is very satisfying, namely the highest score is 84 and the lowest score is 64. If categorized, it will be obtained students who have high ability as many as 25 people or 96.15%, moderate ability 1 person or 3.85% and low ability none or 0%. In the group (GPA) High with a value of 76.31.