Reviewerly/exHarmony huggingface dataset:
Evaluasi Kualitas Shopeepay Menggunakan ISO/IEC 25010

This research aims to evaluate the quality of Shopeepay using ISO/IEC 25010 from the user side, namely Satya Wacana Christian University students. Evaluation of the quality of Shopeepay needs to be done because the high level of use of Shopeepay is also followed by increasing user complaints. This research assesses eight characteristics: functional suitability, reliability, performance efficiency, usability, security, compatibility, maintainability, and portability. There were 140 respondents in this research. This research uses a quantitative descriptive approach, and data is analyzed by calculating the total score for each characteristic regulated in ISO/IEC 25010. The results of the Shopeepay quality evaluation found that functional suitability is 79%, performance efficiency is 75 percent, compatibility is 74 percent, usability is 78 percent, and reliability is 77 percent, security 83 percent, maintainability 76 percent, and portability 78 percent. The quality of Shopeepay is considered very good from a security perspective, and the rest is good. The lowest score is on the compatibility aspect, so system developers and Shopee management need to improve the compatibility of this application because payment transactions and top-up balances fail due to this aspect.
Analisis Kesuksesan Aplikasi M-Paspor di Kota Batam dengan Menggunakan Model Delone dan Mclean

M-Paspor is a new version of the APAPO application launched at the end of 2021. Since the launch of the M-Paspor application, Indonesian citizens have been directed to submit passport queue applications through the M-Paspor. Batam City is a city that is on international shipping routes and borders directly with Singapore and Malaysia. With these advantages, many Indonesian citizens travel through the City of Batam, causing passport applications in the City of Batam to increase. This research aims to analyze the success of the M-Passport application in the City of Batam using the DeLone and McLean model. The method used in this research is a mixed method of qualitative and quantitative, with 30 qualitative data and 500 quantitative data collected. This research utilizes SPSS and AMOS technology to test validity, reliability, SEM, descriptive statistics, and R Square. The results obtained from this research show that all dependent variables have a positive effect on the independent variables with R Square values obtained as much as 61.3%, 58.9%, and 61.9%. By conducting this research, it is hoped that it can help M-Paspor application developers and the TPI Batam Class I Immigration Office to pay more attention to the quality of information, systems, and services from M-Paspor to improve increase public user satisfaction in public services.
A Mobile Application CODEC (Color Detection) for Color-blind People using KNN

Color blindness is a disease generally acquired since birth and cannot be cured. Over time, the limitations in seeing colors will further hinder color-blind people. The research aims to develop an application to help color-blind people distinguish between these colors when pointing an object. The application implements the K-Nearest Neighbors (KNN) algorithm to classify color as an Android application using the React Native framework. We collected images as the dataset using mobile phones. The dataset has 500 images (50 images representing each of ten colors in RGB values). This dataset already provides the needed information, namely the features (RGB values) and the labels (color’s name). We then processed the dataset using the KNN model available on the REST API. This machine learning-based color detection mobile app can detect ten different colors we often see daily: red, orange, yellow, green, blue, purple, brown, black, white, and gray. The color detection system was tested with three different light intensities. The average accuracy of the detection results for the ten colors is 92% (high light intensity), 97% (medium light), and 76% (lowest light). It shows that the application performs well in detecting ten colors in an object and can help color-blind people distinguish between them in everyday life.
Pemanfaatan Vector Space Model Algoritma Nazief Andriani Pembobotan Tfidf Pada Prototipe Klasifikasi Teks Bahasa Indonesia

Information Retrieval is one of the IR techniques that will be used to present the dummy profile is the vector space model where n is the sum of all the terms in the list. To overcome this problem, one technique that can be used is to classify the text of the document in accordance with characteristics, features, and classes based on the standard rules of the language to be processed. In this study, Indonesian is the language used as a reference source. The object of this research is the Indonesian Language Text document. This study will test the application of text classification engine of Indonesian language using Stemming Nazief Andriani algorithm, K-Nearest Neighbor algorithm and Vector Space Model Model based on frequency weighting of TFIDF number of words and Simpson functions. By using document news as document learning, as many as 15 (fifteen) documents with 3 (three) categories, yielding the average value of Precision and Recall of 81.33%.
Enhanced real-time road-vehicles’ detection and tracking for driving assistance

Road-object detection, recognition, and tracking are vital tasks that must be performed reliably and accurately by self-driving car systems in order to achieve the automation/autonomy goal. Other vehicles are one of the main objects that the egocar must accurately detect and track on the road. However, deep-learning approaches proved their effectiveness at the expense of very demanding computational power and low throughput. They must be deployed on expensive CPUs and GPUs. Thus, in this work, a lightweight vehicle detection and tracking technique (LWVDT) is suggested to fit low-cost CPUs without sacrificing robustness, speed, or comprehension. The LWVDT is suitable for deployment in both advanced driving assistance systems (ADAS) functions and autonomous-car subsystems. The implementation is a sequence of computer-vision techniques fused together and merged with machine-learning procedures to strengthen each other and streamline execution. The algorithm details and their execution are revealed in detail. The LWVDT processes raw RGB camera pictures to generate vehicle boundary boxes and tracks them from frame to frame. The performance of the proposed pipeline is assessed using real road camera images and video recordings under different circumstances and lighting/shading conditions. Moreover, it is also tested against the well-known KITTI database, achieving an average accuracy of 87%.
A Comparative Performance Study on Smart Home Automation and Security System Using Blockchain Technology

Smart-home researchers' opinions and experiences suggest that privacy and choice are their main ethical concern. The researchers consider the private life of a person as a major problem when conducting research, though tending to see privacy in terms of information privacy, seldom see privacy as a personal privacy. In addition, we urge smart house-researchers to focus upon this. These are two major ethical issues. Is it necessary to concentrate on privacy? While some sort of privacy respect is a global social norm, it is fundamentally debated whether and when privacy is considered to be a moral principle coherently, as respect for privacy specifically limits the application of other moral requirements. Maybe due to the disputed moral significance, privacy-based moral arguments are at the forefront of many polarised bioethic discussions. Philosophical debates on privacy concentrate whether privacy is in the interests of one's own right (and therefore vulnerable to harm) or a cluster of other more fundamental interests, such as ownership and freedom interests.
Pengembangan E-Booklet pada Sub Materi Peranan Bakteri Kelas X SMA sebagai Media Pembelajaran

This research development model is based on research and development by Borg &amp; Gall with changes by Sugiyono (2019) which only focuses on five stages: potential and problems, data collection, product design, design validation, and design revision. The purpose of this research is to create and develop E-Booklets as learning media to be tested for validity and reliability, so they are feasible to use. Instrument validation was carried out by two validators using the Guttman scale. Media validation was carried out by five validators using four rating scales based on the Likert scale. Validation is done by filling out a closed questionnaire. Media E-Booklet validation to assess four elements: format, content, language, and practicality. The E-Booklet validation analysis used the Aiken's V method and the reliability test used ICC. The results of the ICC reliability of 0.933 and the validity of Aiken of 0.95 place it in a very good category. The results of the validation show that the E-Booklet on the sub-material of the role of bacteria for class X SMA is a good learning medium so it is suitable for use in learning.
An Analysis of Trends in Studies on Territory Education

The purpose of this study is to analyze trends in territory education conducted in South Korea from 1996 to 2022. In this study, the collected research works were categorized into the four research types of national land education, global territory education, glocal territory education and Dokdo Island education, and then trends in studies on territory education were explored. Finally, this study proposes academic directions and tasks for future studies on territory education as follows: First, it is necessary to switch the focus of studies on territory education from Dokdo Island education to the other research types of national land education, global territory education, and glocal territory education. Second, in territory education, it is necessary to attempt studies revolving around 'learners,' major subjects in education field or classes, rather than remaining at the level of the analysis of curricula and textbooks or comparison with other countries and thus alienating learners. Third, it is necessary to conduct follow-up studies that reflect and inspect the results and suggestions of studies related to territory education. Fourth, given the low percentage of studies on global territory education, it is judged that these studies will have to be vitalized.
Penggunaan Bahasa Inggris pada Usaha Kuliner: Tujuan Produsen dan Perspektif Konsumen

Foreign languages ​​are now widely used in Indonesia, one of which is the use of English in culinary businesses. This is done by culinary entrepreneurs of course for reasons and to promote specific perspectives for consumers. This research aimed to reveal the meaning behind the use of English in culinary businesses and what perspectives emerged from this phenomenon. This research used a qualitative descriptive approach involving free structured interviews with culinary entrepreneurs in Metro City and consumers. Analysis was carried out by compiling concepts, categorizing data, and exploring relationships between categories, discourse and drawing conclusions. The research showd that the first aim of using English in culinary business were a marketing strategy to attract consumer interest by presenting different concepts so that it could generate curiosity for potential consumers; secondly as an adaptation to the times. Furthermore, the community's perspective on the use of English in culinary businesses were to foster curiosity to try; make an impression, modern, cool, international standard, professional, expensive, upper social class, trendy, luxurious; for young only; and time inefficient.
Prediksi Tingkat Kelulusan Mahasiswa menggunakan Algoritma Naïve Bayes, Decision Tree, ANN, KNN, dan SVM

The student graduation rate in all universities can be measured by looking at their study duration, both on time and delayed. Thus, by observing the study duration, it can affect the quality of study programs in universities. The purpose of this research is to apply and compare the Naïve Bayes, Decision Tree, Artificial Neural Network, K-Nearest Neighbor (K-NN), and Support Vector Machine (SVM) algorithms in predicting the graduation rate of students. The dataset in this research consisted of 807 student data from the Faculty of Engineering, Universitas Hamzanwadi. The data analysis technique used was descriptive statistics by applying the knowledge discovery in a database (KDD) method. The testing of the five algorithms was done by optimizing the data using the SMOTEENN technique, with a data split of 80% for training and 20% for testing, using a random state of 42. Our findings show that the Naïve Bayes algorithm had an accuracy of 92.37%, Decision Tree 91.60%, K-NN 96.95%, SVM 93.13%, and ANN 90.84%. Among the five algorithms tested, the K-NN algorithm had the highest accuracy rate of 96.95%. The predicted results tended to indicate delayed graduation influenced by GPA. Therefore, the institution needs to pay more attention to students predicted to be delayed to improve their GPA each semester, thus promoting timely graduation within the expected time frame.
The Harmonic Convergence: Exploring the Impact of AI on Musical Composition

This research paper, titled "The Harmonic Convergence: Exploring the Impact of AI on Musical Composition," investigates the transformative role of artificial intelligence (AI) in reshaping the landscape of musical creativity. Delving into the evolving relationship between technology and musical expression, the paper analyzes the advantages, challenges, and potential future trajectories of AI-driven composition. By examining existing literature, AI algorithms, and case studies, the research aims to provide insights into the dynamic interplay between human artistry and computational ingenuity within the realm of musical composition.
Review : Methods of Cryptography

In order to safeguard the information and data that must be protected from any interference or incursion, security is one of the most significant and prominent concepts at the moment. There are several techniques to ensure security and the protection of our data, but cryptography is the most crucial. Because of the importance of the documents and information that institutions must deal with or transport over the Internet, where unauthorized users or hackers can read and manipulate them, these documents must be encrypted using cipher methods and techniques.
Penerapan Data Mining Untuk Memprediksi Pembelian Mobil Bekas Menggunakan Algoritma Naive Bayes

Database can also be interpreted as a data warehouse. The amount of data collected in the database can be processed to generate valuable knowledge for science. One popular and widely used technique for processing databases is data mining. Data mining is the process of extracting knowledge from large and complex data warehouse. Data mining encompasses various algorithm to generate knowledge, one of which is naïve bayes. The dataset used in this research, employing the naïve bayes algorithm, consists of attributes relevant to the purchase of used cars, such year, transmission, mileage, car condition, and brand. This research aims to produce patterns and additional knowledge for participants in the used car business to identify the supporting factors in purchasing used cars.
Kemampuan Menulis Makalah Ilmiah pada Mata Kuliah Psikolinguistik Mahasiswa Prodi Pendidikan Bahasa dan Sastra Indonesia (PBSI) FKIP Universitas PGRI Yogyakarta

The objectives of this study are to determine the ability of students Pendidikan Bahasa dan Sastra Indonesia (PBSI), FKIP, Universitas PGRI Yogyakarta (UPY) in writing scientific papers; and to find out the difficulties of students in writing scientific papers. The research method used is descriptive qualitative. The population in this study were PBSI students who were conducted in the odd semester of the 2021/2022 academic year. The sample is 31 students of class G-1 who take Psycholinguistics courses. Data in the form of scientific papers were collected in the middle of the semester of Psycholinguistics lectures. The scientific paper was analyzed using research instruments. The writing ability assessed includes five aspects, namely (1) ideas, (2) organization, (3) grammar, (4) diction, and (5) spelling. Based on the assessment, each is categorized into five, namely (1) very good with a score range of 86-100, (2) good with a score range of 68-85, (3) sufficient with a score range of 48-67, (4) less with range of values from 32 to 47, and (5) very less with a range of values &lt;32. The results of this study stated that 31 students or 100% got an average score of 78.15 with the highest score of 83 and the lowest score of 72. This category of scores was included in good. Their abilities in expressing ideas, organization of essays, and choosing diction are good. Their shortcomings are average in terms of grammar and spelling.
Penerapan Augmented Reality pada Pengenalan Hewan Purbakala berdasarkan Jenis Makanan berbasis Android

Ancient animals are animals that lived in the past and are now extinct. After the extinction of ancient animals, various information about these animals can only be seen through books and museums, where they show only fossils of ancient animals. Most people know the ancient animals as T-Rex, but in fact they have a variety of species up to their food type. The purpose of this research is to create an application to introduce ancient animals that have been divided by food type, namely carnivores, herbivores, and omnivores by utilizing augmented reality to replace books and museums. This research used quantitative research in the form of questionnaires to 7D class SMP Negeri 3 Mlati. The questionnaire was processed using the likert scale and the Interval Level Value (NJI) to obtain the application eligibility interval scale. The method used to build applications using the Multimedia Development Life Cycle consists of six stages: concept, design, collecting material, assembly, testing, and distribution. The test on this research used black box, angle and distance testing, and questionnaire results. The result of this research showed that functionally the features and benefits of the application in introducing ancient animals using augmented reality to people earned a merit of 4.19. Based on the NJI interval scale, the value of 4.19 is a good category so that applications are worth distributed to the public in place of books and museums.
Vietnamese Learners's Experience in Korean Cultural Education

This study is to discuss the implications of cultural education in Korean language education by examining the current status of cultural education for learners majoring in overseas Korean through the case of D University in Vietnam. To this end, we will examine the current status of Korean language education and cultural subjects at University D, and collect and analyze data through in-depth interviews with learners. The in-depth interview target is 8 students who took Korean culture classes among Korean Studies students at D University. As a result of the study, first, it was found that learners recognized the importance of cultural understanding in the process of learning Korean. Second, 'cultural learning by experience', 'use of bilingual teaching and learning materials', and 'cultural teaching and learning through comparison with Vietnamese culture' were found to be desired by learners. Therefore, in order to maximize the efficiency of cultural education, a more systematic composition of educational content that reflects the needs of learners, and the manpower of instructors who match it must be adopted.
Pengembangan Bahan Ajar Ekonomi Berbasis Mobile Untuk Meningkatkan Motivasi Belajar Siswa Di Masa Pandemi Covid-19

This development was carried out to develop mobile-based Economics Teaching Materials to increase student learning motivation during the pandemic. The development model in this study uses the ADDIE development model, namely Analysis, Design, Development, Implementation, and Evaluation. The research instrument used consisted of: (1) Media Validation Sheet, (2) Material Validation Sheet, (3) Student Motivation Assessment Sheet, (4) Student Initial Needs Assessment Sheet. Validity data consists of validation assessment data from media experts and material experts who are analyzed and by converting the data scores into qualitative data. Effectiveness data was analyzed from the results of the assessment of the motivational instrument which was analyzed by determining the number of scores according to students and then determining the percentage of the total effectiveness based on the absolute assessment. The test results show that the mobile-based class XI economics teaching materials for increasing student learning motivation during the pandemic meet the valid and effective criteria. The validity criteria can be seen from the analysis results of media validity of 90.71% and material validity of 92.5% so that the two validation results meet the valid criteria. The criteria for effectiveness can be seen from the results of the analysis of the motivational instrument. Interest in the appearance and ease of understanding the material independently at home reached a value of 91.7% - 95.8%, indicating that interest in learning in using mobile-based economic teaching materials can be increased by innovative teaching materials that are interesting and easy to operate independently. So when viewed from the motivational instrument, it shows an average presentation of 92% from the standard &gt; 87.50% so that the teaching materials are included in the category of very effective use in online learning during the pandemic
Pengembangan Lembar Kerja Siswa (LKS) Berbasis Ular Tangga Untuk Meningkatkan Hasil Belajar Peserta Didik Terhadap Materi Kegiatan Ekonomi

This study aims to develop student worksheets (LKS) based on snakes and ladders to determine the feasibility and improvement of student learning outcomes for class VII economic activity material at SMP Bhakti Malang. This type of research is development, the development model used in this study is the 4-D development model which consists of 4 stages, but in this study only uses 3 stages, namely: the define stage, the design stage and the develop stage. Based on the average value of the validation results from each aspect namely; completeness of material, breadth of material, creating curiosity, students' critical thinking skills, all of the criteria are good. The total score from media experts is 41 with a value of 3.41. And material experts score from 58 is 3.86, so that the student worksheets used are declared "very feasible" and can be used as teaching materials. From the results of data analysis, it shows that student learning outcomes through the development of snakes and ladders-based student worksheets have increased and very useful as learning media, supported by the acquisition of an average score of 85.5.