Reviewerly/exHarmony huggingface dataset:
Blockchain Technology and the Future of Accounting

This paper aims to investigate the implications of blockchain technology in improving the quality of financial information. To achieve this objective, the author has studied several published journals, newspaper articles, book series, and case studies. It is observed that blockchain technology can create a platform for organizations to disclose their information voluntarily in the short run while it decreases errors in financial disclosure, enhances the quality of accounting information and reduces information redundancy in the long run. A harmonized movement of accountants, auditors, regulatory authorities, and other relevant parties can extract the optimum benefits of blockchain technology in the accounting ecosystem. The findings of this study will encourage top management and policymakers to adopt blockchain in their business to increase the quality of data and the acceptability of the reports. This study indicates necessary ways outs to improve the quality of accounting information by applying blockchain technology. It further identifies potential threats in implementing blockchain technology and recommends appropriate remedies.
Analisis bibliometrik tren publikasi topik penelitian preservasi audiovisual pada database Scopus tahun 2018 – 2023 menggunakan VOSviewer

This research is intended to examine the development of audiovisual preservation research topics, with the aim of finding out: (1) How the trend of international scientific publications on the topic of audiovisual preservation is developing in 2018 - 2023 on Scopus; (2) What is the distribution of core research journals on the topic of audiovisual preservation in 2018 - 2023 on Scopus; (3) What is the map of the development of international research publications on the topic of audiovisual preservation based on keywords in 2018 - 2023 in Scopus. Data collection by searching through Scopus with keywords and filtering data according to needs. Subjects are explained and visualized with Microsoft Excel, Scopus Results Analyzer and VOSviewer. The research results show that the trend in the development of audiovisual preservation topics from 2018 to 2023 on Scopus peaked in 2022 with a total of 161 articles. Meanwhile, the publisher of the Inti Journal in first place is the Professional Journal De La Información which published 19 articles on the topic of audiovisual preservation, and Spain is the country with the largest number of published articles with 240 articles or (33.76%). For further research, researchers can provide suggestions that it is necessary to add keywords so that the research results obtained can be more accurate, richer and comprehensive.
Upaya Pengembangan Kualitas Literasi dan Numerasi Siswa SD Negeri 060839

Literacy is a manifestation of real skills, which are specifically the cognitive skills of reading and writing, which are independent of your context, where the skills were obtained from whom and how they were obtained. Meanwhile, according to numeracy, it is the ability to apply number concepts and calculation operation skills in everyday life, for example at home, work in community life, and the ability to explain information found around us.This study aims to develop the literacy and numeracy quality of SD Negeri 060839 students. In carrying out its development efforts it is applied the Group Work intervention method to deal with problems that exist in SD Negeri 060839 students. In carrying out its activities the methods used are preparation, intake and contracts, assessment, planning and intervention. Based on the trials conducted, it showed significant changes in the literacy and numeracy of SD Negeri 060839 students by implementing literacy activities for 15 minutes by implementing these activities every day. While the numeracy activities are followed by relying on the students' memory in reciting so that they can easily apply these activities in their daily lives.
IMPLEMENTASI MODEL PEMBELAJARAN STAD GUNA MENINGKATKAN HASIL BELAJAR MATA PELAJARAN PKN SISWA KELAS II SDN KETEGUHAN

&lt;p&gt;&lt;strong&gt;ABSTRAK: &lt;/strong&gt;Pelaksanaan Penelitian ini bertujuan untuk meningkatan hasil belajar pada mata pelajaran PKn melalui model pembelajaran STAD pada siswa kelas II SDN Keteguhan. Jenis penelitian ini adalah Penelitian Tindakan Kelas (Classroom Action Research), dengan subjek penelitian yang berjumlah 22 siswa. Objek penelitian ini adalah hasil belajar siswa yang diperoleh dari penerapan model STAD.&lt;/p&gt;&lt;p&gt;Hasil penelitian menunjukkan bahwa pelaksanaan pembelajaran melalui model STAD dapat meningkatkan hasil belajar siswa kelas II SDN Keteguhan. Peningkatan hasil belajar siswa dengan menggunakan model STAD dari pra siklus siswa yang tuntas mencapai 8 siswa dengan persentase 36%, pada siklus I meningkat menjadi 14 siswa yang tuntas dengan persentase 64%, dan pada siklus II meningkat kembali menjadi 19 siswa yang tuntas dengan persentase mencapai 86%. Terkait dengan adanya peningkatan hasil belajar siswa ini peneliti bersama kolaborator menyampaikan pendapat bahwasannya model pembelajaran STAD ini sangat cocok diterapkan dalam proses pembelajaran, hal ini sebabkan banyaknya perubahan peningkatan hasil belajar di setiap tahapan yang dilaksanakan oleh peneliti.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kata kunci :&lt;/strong&gt; STAD, PKn, dan hasil belajar&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;ABSTRACT:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The implementation of this research aims to improve learning outcomes in Civics subjects through the STAD learning model for class II students at SDN Keteguhan. This type of research is Classroom Action Research, with research subjects totaling 22 students. The object of this research is student learning outcomes obtained from implementing the STAD model.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The results of the research show that implementing learning through the STAD model can improve the learning outcomes of class II students at SDN Keteguhan. The increase in student learning outcomes using the STAD model from the pre-cycle of students who completed it reached 8 students with a percentage of 36%, in the first cycle it increased to 14 students who completed it with a percentage of 64%, and in the second cycle it increased again to 19 students who completed it with a percentage of 64%. 86%. Regarding the increase in student learning outcomes, the researcher and collaborators expressed the opinion that the STAD learning model is very suitable to be applied in the learning process, this has resulted in many changes in improving learning outcomes at each stage carried out by the researcher.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; STAD, Civics, and Learning Outcomes&lt;/em&gt;&lt;/p&gt;
UNGGAHAN INFO CEGATAN JOGJA (ICJ) SEBAGAI SUMBER INFORMASI BAGI MASYARAKAT YOGYAKARTA UNGGAHAN INFO CEGATAN JOGJA (ICJ) SEBAGAI SUMBER INFORMASI BAGI MASYARAKAT YOGYAKARTA

AbstrakPenelitian ini bertujuan untuk mengetahui bagaimana unggahan Info Cegatan Jogja (ICJ) sebagai sumber informasi bagi masyarkat Yogyakarta. Penelitian ini merupakan penelitian analisis konten yang menggunakan pendekatan kualitatif. Penelitian ini dilaksanakan pada 11 Januari hingga 8 Februari 2021 di Grup Info Cegatan Joga (ICJ) pada media digital facebook. Hasil penelitian menunjukkan bahwa (1) terdapat enam jenis-jenis informasi dalam grup Info Cegatan Jogja yaitu iklan, berita kehilangan, keluhan, informasi kecelakaan, informasi tindakan kriminal dan informasi bencana alam, (2) Unggahan Grup Info Cegatan Jogja (ICJ) sudah memenuhi karakteristik informasi yang berkualitas karena sudah meliputi karakteristik effectiveness, efficiency, confidentialit, integrity, availability, dan reliability. Tetapi masih belum memenuhi salah satu karakteristik informasi berkualitas compliance, (3) Grup Info Cegatan Jogja (ICJ) memiliki manfaat yang banyak bagi masyarakat Yogyakarta. Kata kunci : Unggahan, Informasi, Info Cegatan Jogja(ICJ) AbstractThis study aims to find out about the upload on Info Cegatan Jogja (ICJ) as a source of information for the people of Yogyakarta. This research is a content analysis research that uses a qualitative approach. This research was conducted from 11 January 2021 to 8 February 2021 at the Info Group Cegatan Jogja (ICJ) on the digital media facebook. The results showed that (1) there were six types of information in the Info CegatanJogja group, namely advertisements, news of loss, complaints, accident information, information on criminal acts and information on natural disasters. Based on the percentage diagram for each upload, posts are dominated by advertisements, followed by information loss and the least percentage is entertainment uploads (2) Uploads of the JogjaCegatan Info Group (ICJ) have met the characteristics of quality information because they include the characteristics of effectiveness, efficiency, confidentiality, integrity, availability, and reliability. However, it still does not meet one of the characteristics of compliance quality information because the uploaded information is not a criterion for information about business. (3) The JogjaCegatan Info Group (ICJ) is very useful for the people of Yogyakarta. This is evidenced by the observations of researchers who found many positive responses from the people of Yogyakarta.Keywords : Upload, Information, Jogja Intercept Info (ICJ)
Social Media Metadata Forensic Ontology Model

The escalating use of compact electronic gadgets like smartphones and smartwatches, along with social media platforms, has led to a new dimension of criminal activities. Advancements in digital forensics, which investigates digital evidence, have become noteworthy. Researchers David Christopher Harrill and Richard P. Mislan devised Small-Scale Digital Device Forensics (SSDDF) for examining miniature digital devices used in criminal undertakings. Edlira Kalemi and Sule Yildirim-Yayilgan demonstrated the application of ontology in social media forensics, deciphering Android system frameworks related to social media data extraction. However, their investigations mainly focused on social media, overlooking the role of gadgets used by criminals and victims. Extracting digital data from these devices remains pivotal for securing relevant evidence from social media. Notwithstanding, incorporating SSDDF and understanding Android system structures have significantly contributed to digital forensic methodologies. These enhancements can bolster the investigation process, capturing and analyzing critical digital evidence from compact electronic appliances and social media platforms. The advent of SSDDF and elucidating Android system structures have offered invaluable inputs to digital forensics, enhancing efficacy in amassing significant evidence from small electronic devices and social media platforms.
Forensic Digital Analysis of Telegram Applications Using the National Institute Of Justice and Naïve Bayes Methods

Currently, Telegram is an instant messaging application that is often used by the Indonesian people as a means of long-distance communication with other users. Telegram also has good security features to protect all data from its users. However, Telegram has a positive impact on its users. This security feature can be used by several people to protect against digital crimes, especially cases of sexual harassment. To overcome the existing crimes, analysis, and forensic methods are needed to help solve crimes. This research is guided by the investigation process using the National Institute Of Justice (NIJ) method and the Naïve Bayes method to classify the conversations found. It can be concluded that MOBILedit Forensic Express has a poor performance in finding digital evidence in the Telegram application and FTK Imager is very good at finding digital evidence in the Telegram application. In this research, the classification process using the Naïve Bayes method has been able to classify conversations that contain sexual harassment or not. Evaluation of the classification method uses a confusion matrix to determine the best classification model.
Hybird Autokey Cipher Algorithm Implementation Reverse Key and Standard Data Encryption for App-Based Text Messages

The development of the internet facilitates public communication in sharing information. Along with the advancement of technology in the communication segment, there were various threats to it. Many applications had sophisticated security systems, but the actions in exploiting these security systems were also increasingly diverse. This study implemented a combination of classic and modern algorithms, namely autokey cipher reverse key and DES to protect data from these crimes. This research develops encryption and decryption applications using the agile method, the technique used because of the time spent on the built progress of applications with a cycle for the development process. With this cycle utilized, the method was suitable for developing applications in the short term and revising or improving applications in each cycle. The research resulted in security applications having the function of helping people secure data so that they could prevent and complicate digital criminal acts.
Forensic Artifact Discovery and Suspect Profiling through Google Assistant

It has become impossible to imagine modern society without the internet and mobile devices dominating our daily lives. As a result, popular apps like Google Assistant, Gmail, Google Home, etc., are quietly entering our veins. People aren't even aware of how much of a digital footprint they leave behind, let alone the fact that it can be completely chronologized and used to put any criminal in jail. The data that we intentionally send to Google is fully retrievable from both the client side (a mobile device) and the cloud. Even if a suspect changes his mobile device, his previous digital footprint still follows him wherever he goes. In this project, we pinpointed the location of the primary database and the major repository for Google Assistant. Here, forensic artifacts of interest from our inquiry have been revealed, including the timeline and copies of previously traded audio chats, as well as a record of deleted data. In addition to that, we have applied the K-means clustering algorithm to isolate the suspect’s voice records and their chronological order among various call records stored in the cloud, where the cluster size is determined using the Silhouette score and the CH index. The findings of the research are to identify forensic artifacts and suspect profiling so that forensic investigators make it easier to conduct criminal investigations
Development of Mandarin Education Quiz Game Using Android-Based Multimedia Development Life Cycle

Mandarin is a language that is widely spoken and studied by people all over the world. Parents who start enrolling their children in Mandarin language courses from an early age with the hope that their children will become accustomed and proficient in using Mandarin. However, for elementary school children, the difficulty of constructing sentences in Mandarin is a major obstacle for children in the process of learning Mandarin. The purpose of this research is to create a unity-based mandarin quiz educational game application that is useful as an alternative media in the learning process to make it easier to learn. which is useful for a. Help make it easier for tutors in learning activities teaching by utilizing media technology in the form of Android-based educational games. Help students learn Chinese HSK material with a happy feeling and don't feel bored, because the content in the educational game "Mandarin Quiz" is displayed in an attractive way with audio, animation, and games on an Android smartphone. Helping children's enthusiasm for learning to know Mandarin. System development for users will be developed using the Multimedia Development Life Cycle (MDLC) methodology. Each step or stage of this method is suitable for system development in multimedia applications and these stages can swap positions according to research needs. It is hoped that the results of testing and designing the Mandarin Quiz educational game application using Unity 2D can be further developed so that this application can help increase interest in learning. The test results and feasibility of this educational game used the Usability Scale System (SUS) which consisted of 46 functions with 10 questions, the final test result was obtained with a score of 88, so that the mandarin quiz educational game was declared acceptable.
K-Means for Majoring Informatics Students' Interests Based on Brainwave Signals

This study investigates the potential of utilizing EEG (electroencephalogram) as a determinant for the specialization choices of Informatics students. EEG, measuring brain activity patterns, is employed to discern majors of interest among students. A questionnaire revealed that some students opt for specializations due to class availability and peer influence, leading to potential mismatches between their abilities and interests, consequently affecting their final project or thesis. EEG data from 30 respondents, recorded using NeuroSky Mindwave and MyndPlayer Pro software, were subjected to K-Means Clustering after feature extraction through PCA. However, the evaluation using Silhouette indicated a low score of 0.453, possibly due to significant distance between cluster data and centroids, minimal dataset size, and random respondent selection without considering their specific areas of interest. This suggests limitations in using EEG alone for determining specialization choices, necessitating further refinement and integration with additional factors for more accurate predictions.
Persepsi followers @perbasi_imy tentang konten event Perbasi Cup 2022

AbstrakPenelitian ini dilakukan untuk mengetahui bagaimana persepsi followers @Perbasi_IMY tentang konten event Perbasi Cup 2022 pada akun Instagram @Perbasi_IMY. Penelitian ini merupakan penelitian dengan pendekatan kuantitatif. Metode yang digunakan adalah survey, dengan menggunakan Teknik Simple Random Sampling dan angket. Populasi dalam penelitian ini berupa Followers akun Instagram @Perbasi_IMY. Peneliti mengumpulkan informasi dengan cara menyebarkan kuisioner pada followers @Perbasi_IMY yang berisi pernyataan tertutup. Angket diuji validitas dengan korelasi Product Moment Pearson dan realibilitas dengan Cronbach Alpha. Teknik analisa data menggunakan analisis deskriptif dan skala uji kelayakan menurut Suharsimi Arikunto. Hasil analisis deskriptif kuantitatif menunjukkan sejumlah 52 responden dengan presentase sebesar 69% berada pada kategori “baik” untuk digunakan sebagai media informasi tentang akun @Perbasi_IMY tentang Konten Perbasi Cup 2022. Sejumlah 23 responden dengan presentase 31% berada pada kategori “cukup baik”. Maka dari itu Akun Instagram @Perbasy_IMY mampu memenuhi kebutuhan informasi bagi para followers.Kata kunci : Persepsi, Followers, Akun Instagram @Perbasi_IMY, Perbasi Cup 2022 AbstractThis research was conducted to find out how followers' perceptions @Perbasi_IMY about the content of the Perbasi Cup 2022 event on @Perbasi_IMY Instagram account. This research is a research with a quantitative approach. The method used is a survey, using simple random sampling techniques and questionnaires. The population in this study is in the form of Followers of @Perbasi_IMY Instagram accounts. Researchers collect information by distributing questionnaires to followers of @Perbasi_IMY containing closed statements. The questionnaire was tested for validity with Pearson’s Product Moment correlation and reliability with Cronbach Alpha. The data analysis technique uses descriptive analysis and a feasibility test scale according to Suharsimi Arikunto. The results of the quantitative descriptive analysis showed that a total of 52 respondents with a percentage of 69% were in the "good" category to be used as an information medium about @Perbasi_IMY accounts about the Perbasi Cup 2022 Content. A total of 23 respondents with a percentage of 31% were in the "quite good" category. Therefore, the Instagram account @Perbasy_IMY able to meet the information needs of followers.Keywords : Perception, Followers, @Perbasi_Imy Instagram Account, Perbasi Cup 2022
Convolutional Neural Network on Brain Concentration and Art of Reading the Qur'an

In Islam there is a belief that reading the Qur'an can increase one's concentration power in doing something. Concentration can be influenced by several factors, to be able to identify or characterize individuals, it is necessary to measure brain wave activity. Brain waves are one of the biometric properties that can be used to identify individuals based on their physical. An electroencephalogram (EEG) can be used to measure and capture brain wave activity. To be able to naturally record brain wave activity requires constant and emergent brain activity. The activities needed are in the form of giving assignments to get the thinking process and concentration needed for the Basic Cognitive Test. The object of this research is the students of the University in Yogyakarta. EEG data recording was carried out in two stages, the first stage the respondents were given 10 minutes to work on the test questions without reading the Qur'an before working on the questions, the second stage the respondents were given 10 minutes to work on the test questions by reading the Qur'an before doing the work. about. When the respondent was working on the test, the researcher recorded the EEG signal using Neurosky Mindwave Mobile 2, so that the data in the form of brain signals was obtained. The data acquisition will undergo a preprocessing process in the form of a domain transformation signal using Fast Fourier Transform (FFT). Then enter the labeling process and after that the next process will be carried out the classification process using the CNN algorithm. The results of this study showed that 10 of 30 students' concentration levels experienced an increase, with an accuracy rate of 85% and a significant F test is 0.002
Comparison of Forensic Tool Results on Android Smartphone Backup Files Using NIST Method

Smartphone technology currently developing not only has a positive impact but can also have a negative impact if it is used to commit crimes which can be called cybercrime. Choosing the right forensic tools is very important when conducting an investigation. So it is necessary to research the results of the comparative analysis of the performance of forensic tools on android smartphone backup files. The National Institute of Standards and Technology (NIST) method was used in this study as a parameter and for the digital evidence obtained. The results of the extraction of the OPPO A37f android smartphone from the MOBILedit tools acquired android backup files and the analysis results from using the Magnet AXIOM tools with a data accuracy rate of 39.3% from the predetermined variables. The Oxygen Forensic Tools obtained a data accuracy rate of 28.6% from the variable that has been determined. The Belkasoft Evidence Center tools can get a data accuracy rate of 35.7% of the predetermined variables. The results of this study can be concluded that the Magnet Axiom tool has a high level of accuracy compared to the Oxygen Forensic and Belkasoft Evidence Center tools in extracting data from android smartphone backup files.