Reviewerly/exHarmony huggingface dataset:
Director’s theme in the film adaptation of a literary work

The purpose of the article. The article focuses on the process of film adaptation as a transformation of a literary text into a cinematic one. This phenomenon is mostly considered from the point of view of literary studies: the construction of dramatic structure, typology, comparative studies, screenwriter’s creativity, etc. However, the role of the director in film adaptation remains beyond the attention of scholars. This study examines the specifics of the film adaptation process in terms of the influence of the director’s theme, which is a manifestation of his or her personality.&#x0D; The methodology. We have used the analysis (of theoretical works on screenwriting and directing, research in the field of art history, psychology, etc.), typology (of structural elements and expressive means), systematization (of directorial techniques for transforming a literary basis into a screen work), observation (of the creative process in cinema), induction (based on practical experience) and modeling of the principles of the director’s work.&#x0D; The results can be used in training programs and practical activities of directors, screenwriters, film critics, art historians, and cultural critics. The paper provides examples on the basis of which practical principles are formed that can help in the creation of film adaptations.&#x0D; The scientific novelty lies in the fact that for the first time a comprehensive analysis of the transformation of a literary work into a screen work from the perspective of a director, its comprehension and systematization of directorial techniques in the process of film adaptation will be carried out.
On the Design and Performance Evaluation of Android Based Alarming Applications

The aim of this paper is to investigate and discuss issues on the design and performance evaluation of Android applications concerning alarming systems that would serve users in emergency or dangerous situations to be able to send text messages in real time giving information about their location and about their needs in searching for help. The user, for instance, could send a message to their chosen contacts just by shaking the phone a predefined number of times or following any other pattern of action involving the smartphone. The application designed has, also, some other features like sounding an alarm for 10 s, automatically opening the hospital map searching for hospitals in the area and automatically opening the police map searching for police stations nearby. While opening each of the maps mentioned, the user could check their location as well. Many other similar features could be added in the designed application. But the main goal of the paper is to investigate design issues in Android applications regarding real time performance as well as to evaluate performance in such time critical applications. Therefore, the contribution of this paper lies on comparing real time performance of different implementations of such an alarming application as well as on presenting step by step design, architectural and implementation issues of it.
Implementation of Brainstorming Method to Improve Social Studies Learning Achievement of Grade VIII Junior High School Students

This research is motivated by the observation data that the researchers did that social studies learning is still low in achievement because it is not appropriate to choose the method in conveying the material. Learning using the brainstorming method, which was carried out at SMP "Empat Lima" Karanggeneng Lamongan, was assessed as being able to improve learning achievement. The goal is to know the steps, supporting factors, accelerating factors, and the impact of applying the brainstorming method. The method used is the descriptive qualitative method. Data collection techniques are using interviews, documentation and observation. The benefit of research is that students can improve their achievement. Students can convey ideas and new solutions according to the material, which can increase self-confidence. The research was conducted at SMP "Empat Lima" Karanggeneng Lamongan in class VIII with a total of 17 students. The brainstorming method is a method in which students are trained to be able to provide opinions and solutions, and students are given breadth without any criticism or objection. This brainstorming method is suitable for use in social studies lessons, especially at the junior high school level. The brainstorming method can improve learning achievement because students can obtain new information and knowledge from seeking references so that students can think creatively and innovatively, and it can also increase students' self-confidence. The steps of the brainstorming method properly and correctly can increase student achievement. Learning the brainstorming method also has supporting factors, boosters and a positive impact on students.
Few-Shot Learning for CNN-based Animal Classification in Camera Traps using an Infrared Camera

This study evaluated the effectiveness of typicalfew-shot learning methods for training CNN models inanimal classification using a small dataset of imagescaptured in infrared light. Specifically, we evaluated theeffectiveness of transfer learning and data augmentation fortraining of a CNN using only a small number of images.Transfer learning can achieve high accuracy even withlimited training data by utilizing the knowledge transferredfrom a large amount of training data. Here, we focused onthe effectiveness of formula-driven supervised learning(FDSL), which uses fractalgeometry images forpre-training and pre-training. In addition, we investigatedthe use of pseudo-infrared images generated through simplecolor transformation. Similarly, data augmentation canimprove model performance even with a limited number ofimages through image processing that virtually increasesthe number of images by virtually increasing the number ofimages through image processing techniques that alter theshapes and tones of the original images. We verified theeffectiveness of this method by applying typical dataaugmentation methods to the classification of infraredanimal images.
The nexus of knowledge management processes and innovation performance: the moderates of big data analytical

Purpose The purpose of the study is to identify how knowledge management processes impact innovation performance in the Jordanian medical sector (private hospitals) as well as identify how big data analytics moderates this performance. Design/methodology/approach Two hundred ninety-one questionnaires were analyzed for the purpose of this study. A structural equation model (SEM) was used to test convergence validity, discriminant validity and reliability. In order to analyze the data, bootstrapping was used. Findings The empirical results showed that all knowledge management processes are statistically significant in influencing innovation performance. Furthermore, big data analytics moderates the relationship between knowledge management processes and innovation performance. Research limitations/implications The results of this cross-sectional study are limited to one country and one industry due to methodological limitations, and the results represent a snapshot at a particular point in time. Originality/value Jordan's medical leaders will benefit from this study, since it emphasizes the importance of knowledge management processes to enhance innovation performance, especially given the importance of big data analytics in the field, increasing innovation capabilities in the medical field, thereby increasing innovation levels.
Research Dissemination of Indonesian Institute of Sciences (LIPI) 2017-2020:

Background of the study: Dissemination of the research results of the Indonesian Institute of Sciences (LIPI) in 2017-2020 as measured by the distribution of publications. Purpose: This study aims to determine the bibliometric profile of research results documents owned by the Indonesian Institute of Sciences (LIPI) for 2017-2020 which have been disseminated. Method: The research method used is a quantitative bibliometric method with descriptive statistical analysis, and co-authorship analysis and co-occurrence analysis with VosViewer software. Findings: There are three groups of findings: document distribution, research collaboration, and research trends, it is known that: (1) research documents on Scopus excel in large number, wide scope of various publications, and description about publication status and types of document access; (2) research documents on DOAJ excel in the scope of Indonesian local publications; (3) LIPI’s researcher with the most research results is Sumowodagdo S.; (4) LIPI’s research collaboration is consistent with the University of Indonesia and the National University of Singapore; (5) LIPI’s research trends are consistent in Indonesian studies with Indonesia as the keywords. Conclusion: The domination of the largest number of LIPI’s research documents, collaboration, and keyword is found in research results indexed by the Scopus. Increased research can be done on a list of keywords that appear less frequently. Countries and institutions that have little collaboration also need attention and increase their collaboration. Countries and institutions with frequent collaboration also need to be maintained.
Portal Pencari Kerja Event Organizer (EOZone) Menggunakan Pendekatan User-Centered Design

The need for personnel in an event is one of the keys to the success of an event held. Event Organizer (EO) is one of the containers that can accommodate workers not fixed in accordance with their field that can increase the success of an event because it is filled with experienced people. EOZone is one of the containers that handle various art events, sports, and other events. The author designed and built an EOZone that aims to accommodate job seekers in finding and obtaining information that requires personnel in an event. The system was developed using a User-Centered Design (UCD) approach that is able to provide information and facilitate the application process from job seekers, especially related to event organizers. This research was created with the intention to find out the initial response of job seekers to the system to be built. In the next development, a feature will be built for the job provider to publish the vacancy if the initial response is good. The system is built using the Python programming language with the Flask Framework with MySQL database. The results of this study state that the process contained in the system has run smoothly as evidenced by the results of black box testing. User tests are conducted by providing questionnaires to prospective users and the results show that users agree EOZone can be used as a medium to help job seekers get information about an event.
EVALUASI PADA WEBSITE SRAGENKAB.GO.ID MENGGUNAKAN METODE WEB USABILITY EVALUATION (WEBUSE) DAN WEB CONTENT ACCESSIBILITY GUIDELINES (WCAG) 2.1

The sragenkab.go.id website serves as a vital platform supporting the operations of the Sragen district government, disseminating accurate and prompt information to the public. However, various issues hamper its functionality, such as interface display problems, unclear layout, non-functional links, excessively simple design, and slow response times. To address these concerns, this study aims to evaluate the sragenkab.go.id website's usability and accessibility aspects using the Website Usability Evaluation (WEBUSE) method and the Web Content Accessibility Guideline (WCAG) 2.1 method, respectively. Using the WEBUSE method, a survey questionnaire was distributed to 100 respondents from Sragen to assess the usability level of the website. The obtained score of 0.65 indicated that the website's usability is categorized as "good" and has been accepted by the users. On the other hand, the accessibility evaluation using the WCAG 2.1 method, with the assistance of the WAVE tool and accessibilitychecker, revealed a score below 75%, indicating a significant risk of non-compliance with international accessibility standards. In conclusion, the sragenkab.go.id website exhibits commendable usability; however, it falls short in terms of accessibility. The findings emphasize the importance of optimizing the website's accessibility to adhere to international regulatory standards, ensuring equitable access to information and services for all users. Future improvement efforts should focus on rectifying accessibility issues to enhance the overall user experience and inclusivity of the website.
Sistem Prediksi Kasus Covid-19 di Indonesia Menggunakan Algoritma Linear Regression

The Coronavirus disease outbreak caused by severe acute respiratory syndrome by coronavirus 2 was first reported in Wuhan, Hubei province, China in December 2019, until March 2, 2020, President Joko Widodo announced the first case of an Indonesian citizen who was confirmed positive for COVID-19. The development of new cases of COVID-19 patients in Indonesia is still being reported even though the pandemic has lasted for almost two years. Then need a way to determine predictions or predict the number of increases in Indonesia’s COVID-19 cases in the future using machine learning technology with the Linear Regression algorithm. Estimating the number of active cases adding positive COVID-19 cases in Indonesia over the next 3 months using the machine learning method using the Linear Regression algorithm. This study predicts COVID-19 cases using machine learning with the Linear Regression algorithm. The model results have a linear coefficient, so the model predicts very well for linear data on days 0 – 300, and on the day after that, the number of positive cases of the national COVID-19 virus does not continue to show a linear relationship, the model becomes inaccurate again. The results of the parameter evaluation show that the level of accuracy is low, but this model can be used as a reference for case predictions for the next month with the results of comparison of predicted data and actual data not much different.
Analisis Sentimen Kepuasan Pelanggan Perusahaan Telekomunikasi Seluler Telkomsel di Twitter

Telkomsel, the largest operator in Indonesia with the most users, collects a significant amount of tweet data on Twitter, containing both positive and negative feedback about their internet service. Analyzing this data can provide valuable insights and accurate information about Telkomsel's internet services based on user tweets, retweets, and comments. The aim is to build a sentiment analysis model to extract relevant information from Telkomsel users' tweets on Twitter, serving as feedback for service evaluation and an educational tool for users. The sentiment analysis process involves data retrieval, preprocessing, training, testing, classification, and visualization using Python programming with the Flask framework. Analysis of customer satisfaction sentiment reveals that Telkomsel has a negative sentiment, with an accuracy of 81.7% for training data and 84% for testing data. The sentiment analysis model was built using the Naive Bayes Classification method.
APLIKASI MONITORING DATA KETERSEDIAAN SOAL BERBASIS WEB PADA SITUS TANYA JAWAB BRAINLY

Brainly is a website that allows users to ask each other and answer questions related to school lessons openly to other users. On the site, you must first create an account as a questioner or answerer. Brainly harness the power Freelance to answer questions on the Brainly website. In working on the questions carried out by the Brainly Freelancer, there are often delays in updating questions at the Uniform Resource address Locator (URL) assigned to Freelancers. This results in Freelancers often being hampered in their work meet the target of working on the questions because the questions that have been answered are still not replaced with a new question. Therefore, the researcher designed and built an Application for Monitoring Data Availability of Web-Based Questions on the Tanya Site Answer on the Brainly site which aims to make it easier for Brainly Freelancers to meet their target for working on questions. This application is built using the Python programming language by utilizing the Flask framework. The results of this study state that the process contained in the application has been running smoothly as evidenced by the results of black box testing. User testing is done with Brainly Freelancers opening the application and viewing the availability of unanswered questions on the Brainly URL with a table view.
Aplikasi Android Pencarian Coffee Shop Terbaik Menggunakan Metode Weighted Product

Coffee Shop is a place to gather and relax with family, friends, relatives to enjoy the weekend or just to unwind from the activities that have been carried out. Currently, there are many coffee shops in Sleman that provide products at affordable prices and comfortable places, so that many students make coffee shops an alternative place to complete assignments. However, many people still ask about the Coffee Shop along with detailed information such as taste, price, service, atmosphere, and distance. The Weighted Product method is one of the weighting methods, where multiplication is used to connect attribute ratings, and the rating of each attribute must be raised first with the weight of the attribute in question. The results of this study are in the form of an Android application to find the best Coffee Shop using the Weighted Product method so that it can make it easier for people to choose a Coffee Shop based on the selected criteria. The application is built using the Dart programming language and utilizes the Flutter framework and MySQL as a database management system.
Membangun Sistem Informasi Presensi Kuliah Berbasis NFC di Prodi Informatika Unjani Yogyakarta

The Unjani Yogyakarta campus, specifically the Informatics Study Program, currently relies on manual methods such as calling students individually or using journal book signatures for attendance. This approach has drawbacks, including flexible attendance time, time-consuming procedures, and potential disruptions to student focus during lectures. To address these issues, the author conducted research to develop a student attendance information system for the campus. The system utilizes a client-server architecture and incorporates NFC technology on Android smartphones and RFID cards. The research aims to establish fixed attendance times and enable digital attendance through Android devices. It also facilitates monitoring of lecture activities for program administrators by integrating mobile and web applications. The system, developed using JAVA for mobile clients and PHP with CodeIgniter and Bootstrap for the web server, was built using the Research and Development method. The resulting student attendance application streamlines the attendance process for program administrators and lecturers. However, it should be noted that the system relies heavily on an internet connection and can serve as an alternative for online classroom attendance.
IMPLEMENTASI PI-HOLE UNTUK MEMBANGUN SISTEM PERTAHANAN JARINGAN DARI SERANGAN MALVERTISING

The Internet has revolutionized human activities in the digital era, providing new avenues for innovation and connectivity. Online advertising, a significant aspect of this digital landscape, enables advertisers to reach diverse audiences. However, this convenience has also attracted cybercriminals who exploit online advertisements to deploy malicious ads, commonly known as malvertising. This study focuses on implementing Pi-Hole, a network defense system, to combat web-based malvertising attacks and reduce associated risks. Utilizing a Raspberry Pi 3 model B+ device, the Pi-Hole system is deployed within the DMZ network at FTTI Universitas Jenderal Achmad Yani Yogyakarta. By capturing query logs, Pi-Hole effectively blocks malicious ads by employing an adlist. The research was conducted over a 14-day period, from July 26 to August 8, 2022. The results demonstrate the efficacy of the Pi-Hole defense system, with a remarkable 22.7% of the total captured queries, amounting to 895,077 queries, being successfully blocked. Additionally, testing from the client's perspective confirmed the system's ability to prevent ads from appearing on websites and mobile applications. The implementation of Pi-Hole on the FTTI network at Jenderal Achmad Yani Yogyakarta University provides a robust defense against malvertising attacks. By blocking malicious ads, Pi-Hole safeguards users' browsing experiences and reduces the risk of potential harm from online advertisements. This research contributes to the growing body of knowledge on network security and offers practical insights for organizations and individuals seeking effective measures to counter web-based malvertising attacks.
Academic library collaboration to optimize library services

Background of the study: College libraries as centers for quality knowledge management should strive to optimize their services so as to meet the needs of users. However, it is not possible for libraries to meet all the needs of their users due to certain limitations, so collaboration is necessary. Purpose: This study explains the implementation of Widyatama and Brawijaya University Library collaboration to optimize their services, including organizational structure and collaboration tools, as well as its impacts. Method: This research uses qualitative descriptive methods with data collection techniques through observation, interviews, and literature studies. Findings: The collaboration uses the MoA and has formed a special unit. In its implementation, there are still some lackings. In addition, this collaboration has had more impact especially related to service quality, such as ease of information access and sharing. Conclusion: College library collaboration can improve the quality of education and research and make the institutions that house them more prime through increasing access and quality of services, efficient management of information resources, and empowering academic libraries. This research makes a new contribution in the understanding and implementation of collaboration between college libraries as an effort to optimize library services.
Analisis Sentimen Opini Masyarakat Tentang Penggunaan Aplikasi Bimbingan Belajar Online di Masa Pandemi Covid-19 Menggunakan Metode Support Vector Machine (SVM)

Distance learning has emerged as a response to the Covid-19 pandemic, providing students with a new approach to learning. Online learning platforms, utilizing information technology, have become essential in connecting students and teachers. Online tutoring applications offer valuable supplementary educational materials, with various features to support the learning process. Analyzing sentiment on Twitter regarding these online tutoring applications is crucial in determining the best options for students. This study aims to develop an analytical model using the Support Vector Machine (SVM) for online tutoring applications during the Covid-19 pandemic. The research focuses on analyzing positive and negative sentiments within Twitter data, utilizing the Support Vector Machine (SVM) method. The training phase involved 800 manually labeled tweets, consisting of 400 positive and 400 negative sentiments. For testing, 23,511 labeled data points were used. The training data achieved an accuracy of 91.81%. The research successfully achieved an accuracy rate of 90.62% for training and 91% for testing.
Publish and perish: A new look at bibliometric statistics in the PBRF age

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