Reviewerly/exHarmony huggingface dataset:
Image Captioning using CNN and Attention Based Transformer

Image captioning is a technique for generating sentences that describe a scenario captured in photos. It can identify objects in a picture and carries out a few processes with the goal of locating the image’s most crucial parts. Algorithms now have the ability to generate text in the context of natural phrases that accurately describe an image. To extract image visual features, this work employs a pre-trained Convolution Neural Network (CNN) viz. EfficientNetB0, and then uses Transformer Encoder and Decoder to construct an appropriate caption. The model is trained using the Flickr8k dataset. The findings back up the model’s capacity to understand and produce text from pictures. The evaluation metric is the BLEU (bilingual evaluation understudy) score. The model obtains the image description, converts into text, and then into a voice. For visually impaired people who are unable to grasp visuals, image description is the ideal approach.
Culinary Tourism Location Search Application Using Location Based Service Method In Jakarta City Area Based On Android

Culinary diversity causes many types of restaurants and cafes in the city of Jakarta. The increasing number of culinarylocations makes it difficult for culinary connoisseurs to find locations and restaurants that match what they want.Therefore we need an application that has functional aspects in finding culinary locations. The application of the LocationBased Service (LBS) method in this application can help users to find the nearest culinary so that users can choose aculinary place that is closest to their location. Applications created using Android Studio with the Zomato API can makeit easier for people to find culinary locations around the city of Jakarta. By using Android mobile technology as anothermedium, people don't have to ask other people to find culinary spots. The program is tested to find out possible errors,this test uses Black Box testing and User Testing. Application testing to find culinary places in the city of Jakarta candisplay detailed information on the restaurants selected by the user and the test results are as expected.
Multi-scale Feature Extraction and Fusion Net: Research on UAVs Image Semantic Segmentation Technology

Since UAV aerial images are usually captured by UAVs at high altitudes with oblique viewing angles, the amount of data is large, and the spatial resolution changes greatly, so the information on small targets is easily lost during segmentation. Aiming at the above problems, this paper presents a semantic segmentation method for UAV images, which introduces a multi-scale feature extraction and fusion module based on the encoding-decoding framework. By combining multi-scale channel feature extraction and multi-scale spatial feature extraction, the network can focus more on certain feature layers and spatial regions when extracting features. Some invalid redundant features are eliminated and the segmentation results are optimized by introducing global context information to capture global information and detailed information. Moreover, one compares the proposed method with FCN-8s, MSDNet, and U-Net network models on the large-scale multi-class UAV dataset UAVid. The experimental results indicate that the proposed method has higher performance in both MIoU and MPA, with an overall improvement of 9.2% and 8.5%, respectively, and its prediction capability is more balanced for both large-scale and small-scale targets.
In-Theatre Real Time Piracy Detection and Discouraging System

Today, movie piracy is greatly affecting the economic growth of the film industry. Hence, combatting piracy is critical in averting losses for the film producers. This paper aimed to develop an anti-piracy model composed of a real time pirated video degradation system and a piracy activity estimation system, which in turn are based on Thermogram analysis and an ARDUINO programmed IR LEDs array. In the pirate estimating system, the Cubic SVM model is trained to classify the thermal images acquired from the theatre environment into normal and abnormal classes. An accuracy of about 99.9% is achieved in real time while testing for piracy actions. The proposed piracy discouraging system is programmed to real time degrade the quality of pirated video and to invisibly watermark the pirated video with the theatre name, date, and time information. The distortion created by our prototype system is evaluated by recording the video displayed on screen using different mobile cameras and the corresponding pirated video quality is compared objectively and subjectively. Based on the subject’s quality rating, it was found that the system has created enough degradation in the visual quality of pirated video to discourage piracy.
PENGEMBANGAN DAN IMPLEMENTASI METODE FUZZY MAMDANI UNTUK PENILAIAN KINERJA PENELITIAN DOSEN

Today, information technology, especially soft computing technology is growing rapidly. One of the soft computing technologies that has been widely developed is fuzzy logic. This is because it can be used to measure various phenomena that are unclear, obscured or obscured. One of the research themes that uses fuzzy logic is the assessment system in research. Research [Graha Nusantara Padangsidimpuan Data Simlitabmas Still in the Leadership category for promotion to the Madya Faculty of UGN Padangsidimpuan is challenged to develop, dedicate and apply the knowledge needed in research. The goal according to this research is to apply fuzzy reasoning with the Mamdani method for lecturer research activities at the University of Graha Nusantara Padangsidimpuan. This research uses Mamdani fuzzy logic. The Mamdani fuzzy method is a way to convert the input space to the output space.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN OBYEK WISATA TERBAIK DI KABUPATEN SRAGEN DENGAN METODE WEIGHTED PRODUCT

Sragen Regency Tourism Object is one of the places for recreation with family. Sragen Regency has many beautiful and diverse tourist attractions, making it difficult for people to determine the best tourist attraction. The criteria that are in great demand by the public are: Location, Facilities, Tickets and Security. This requires the Head of the Tourism Office to be able to make decisions in determining the best tourism objects. The purpose of this research is to make a Decision Support System Application for the Selection of the Best Tourist Attractions in Sragen Regency by using the Weighted Product Algorithm Method. This method was chosen because it has the ability to rank to determine the best alternative based on all criteria and weights. Data was collected by means of interviews, observations and literature studies. System design is made with Context Diagram, HIPO, DAD and ERD. This application was developed with PHP language and MySQL database. The results of the tests carried out on the functionality test were good and the validity test results were 100% valid. The implementation results obtained by the best tour is Ndayu Park with the highest score of 0.0852.
EVALUASI USABILITY PADA APLIKASI IMMERSIVE STORY TELLING SATUA I BELOG

The development of immersive technology allows users to interact more realistically with the virtual world and immersive technology can also be used as a medium for introducing culture based on information communication technology. Currently, there are many immersive applications, so an evaluation is needed to measure the usability of immersive storytelling applications, especially in the interface design. Usability measurements are carried out to find out whether the interface design is good, because there are still complaints about the immersive story telling application, especially the interface design. This paper will evaluate the usability of the application immersive story telling satua I Belog using the usability heuristic method by adapting the twelve heuristic rules proposed by Sutcliffe. Heuristic evaluation is a combination of usability aspects and user presence aspects in a virtual environment. This evaluation process involves 3 assessors. The evaluation results show that the Immersive Story Telling Satua I Belog application has quite good 3D quality and the application performance is quite good. However, there are several features that need to be improved, namely 3D graphics and player controls to get maximum performance. In the application there are also objects that can be penetrated. During the evaluation process it was also found that motion sickness symptoms can occur in every user. This Motion Sickness event is influenced by aspects of the user's position when running the Immersive Story Telling Satua I Belog application. motion sickness will feel fast when using the application by looking up and shaking your head within eight minutes of using the application.
RANCANG BANGUN SISTEM INFORMASI POINT OF SALE MULTI OUTLET DENGAN MENGGUNAKAN FRAMEWORK LARAVEL DI KOPERASI ITSNU PEKALONGAN

Digitalization has been shaped the economy and society, one of the areas most affected by digitalization is the retail sector. Point Of Sale (POS) is a sales-oriented activity and a system that helps process transactions. The Cooperative store at the Technology and Science Institute of Nahdlatul Ulama (ITSNU) Pekalongan still records manually, so there is a risk of fraud and data loss. This POS system can be helping all transactions to manage stores to be fast, accurate and safe, because all of data will be saved to the cloud directly, so cooperative managers can be controlling several cooperatives directly, anytime and anywhere. The method used in this POS system is the Waterfall method, which is a method used to develop software sequentially like a waterfall through several stages are data collection, analysis, design, development, testing and implementation. Based on the black box testing that the researchers have done, all the features on this multi-outlet POS system have functioned properly according to the needs of cooperatives at ITSNU Pekalongan.
MARKET BASED ANALYSIS SEBAGAI PENINGKATAN PENJUALAN PRODUK MENGGUNAKAN ALGORITMA K-MEDOIDS DAN FP-GROWTH

The COVID-19 pandemic has greatly affected the economy in Indonesia. The emphasis on the development of covid-19 through Enforcement of Restrictions on Community Activities has an impact on the Micro, Small and Medium Enterprises (MSME) sector, including product sales at the Distro Sextors. Therefore, a strategy is needed to increase sales, one of which is through data mining techniques with market based analysis. Data mining is one of the processes of Knowledge Discovery in Database (KDD) that uses scientific methods in its application. The data used in this study were 6531 sales transactions. The data mining algorithm used in this research is K-Medoids for grouping which aims to find the best cluster. The cluster experiments used are K-3, K-4, K-5, K-6 and K-7 then cluster testing is carried out using the Davies Bouldien Index (DBI) method and the results are cluster K-3 is the best cluster because it has a homogeneous value lowest. Then the association rule uses the FP-Growth algorithm and the minimum support value used is 6% to 7% while the minimum confidence value is 60%. The results of the association rule analysis are product recommendations that can be used as promotions to increase sales in Distro Sextors. The products are SE128, SE131, SE130, SE431, SE792, dan SE804.
PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT PADA PENJUALAN GAS MEDICAL DENGAN METODE EXTREME PROGRAMMING

The world is facing covid 19, countries are fighting against a virus that has been declared a global epidemic or pandemic by the World Health Organization. The need for medical gas during the Covid-19 pandemic is facing very high demand, both from hospitals and individuals. The problem with PT Gasindo Andalan Sukses is that the sales process is still carried out manually, marketing and offering products by visiting prospective customer locations so that it takes longer time and the success rate is erratic because there is still a price bargaining process. Based on these problems the author aims to create a web-based medical gas sales application at PT. Gasindo Andalan Success using customer relationship management (CRM) and Extreme Programming (XP) methods. The author hopes that it will be the right solution to make it easier for companies to market their products online to consumers. Another advantage is that companies can store data easily because of a computerized system.
IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PENYAKIT JANTUNG MENGGUNAKAN METODE K-NEAREST NEIGHBOR DAN LOGISTIC REGRESSION

Heart attack disease is a condition where the arteries are blocked due to fatty deposits. This disease causes several symptoms such as shortness of breath, chest pain. In addition, this is also due to impaired blood flow to the heart that is blocked and can destroy the heart muscle. Until now, heart attack disease is still the leading cause of death in Indonesia. The problem faced today is that it is very difficult to predict heart disease and determine whether a person has heart disease. An appropriate method is needed to predict heart disease. The purpose of this study was to calculate the level of accuracy in predicting heart attack using the K-Nearest Neighbor and Logistic Regression methods. Based on the research and data processing that has been applied and the comparison of the K-Nearest Neighbor and Logistic Regression algorithms, the final results are the accuracy of the Logistic Regression Algorithm of 88% and the K-Nearest Neighbor algorithm of 83%. Thus it can be concluded that the Logistic Regression algorithm is the best in predicting heart attack disease than the K-Nearest Neighbor algorithm.
Firenze University Press: the peer review policy of an Italian academic publisher. Interview with Fulvio Guatelli by Alessia Papa

Peer review evaluates the originality and quality of a scientific work, through the judgment of a peer group, in order to preserve scientific authority and prevent the publication of poor quality manuscripts. Fulvio Guatelli, director of the Firenze University Press (FUP), one of the most innovative realities in the scientific field and one of the first publishing houses to have brought the peer review process to Italy, answers eight questions. FUP pays considerable attention to editorial practices; the FUP Scientific Cloud for Books project allows the systematic description, through a "cloud" of metadata, of all aspects of the scientific book (authorship, evaluation process, dissemination tools and access methods), in order to contribute to its enhancement and place it in the wake of scientific journals. FUP also aims at the dissemination of a qualitatively valid science, supporting the reviewers through collaborations, such as ReviewerCredits, which certify and reward their work. Initiatives that testify to the continuous evolution and gradual refinement process of peer review in the context of today's scientific community.
Program Kampus Mengajar Angkatan 4 Sebagai Usaha Peningkatan Kemampuan Literasi dan Numerasi SDN Batonaong 1, Arosbaya

Campus teaching is a program designed by the Ministry of Higher Education to provide opportunities for students to develop themselves through activities outside the lecture class. Through the teaching campus program, students have activities that are their responsibility in assisting learning activities, assisting with technology adaptation, and assisting with administration at the school where they are assigned. The purpose of this study was to find out how the implementation of campus teaching at SDN Batonaong 1. This research method uses a qualitative descriptive method. Observations, interviews and documentation were used for data collection. The data collected was then processed using qualitative data processing techniques from Miles and Hubermen. SDN Batonaong 1 is an elementary school that is the target of the campus teaching program batch 4 to improve literacy, numeracy and technology adaptation skills. With this program, it is hoped that it can provide benefits for the problems and needs of schools, teachers, and students at SDN Batonaong 1. Apart from that, this activity is also able to become an arena for students to hone their potential to develop education in Indonesia.
Peningkatan Hasil Belajar Ekonomi melalui Pembelajaran Group Investigation Kelas XI IPS 1 SMA Negeri 13 Pekanbaru

This research was compiled with the aim of knowing the increase in economic learning activities for Class XI IPS1, through Group Investigation learning. This research was conducted from July to September 2017. The research subjects were 30 students of class XI IPS1 at SMA Negeri 13 Pekanbaru, consisting of 15 boys and 15 girls. The type of research used is classroom action research. This research was conducted in two cycles for six meetings and two meetings for learning achievement tests. At each meeting, learning was carried out using the group investigation method with six stages, namely identifying topics and organizing students into groups, planning tasks to be studied, carrying out investigations. Prepare final reports, present final reports, draw conclusions and evaluate stages. The research findings show that the use of the Group Investigation method can improve the results of studying economics in class XI IPS2 SMA Negeri 13 Pekanbaru. This increase can be seen in the results of the first cycle with an average value of 77.50% to 86.67% in the second cycle. The percentage of students who passed with grades increased from 63.33% to 86.67%. In general, the learning process in action research that has been carried out to improve learning outcomes is optimal.
Pengaruh Model Flipped Classroom terhadap Kemampuan Representasi Matematika Ditinjau dari Cuirosity Belajar Matematika di SMK GKPS 2 Pematangsiantar

This study aims to determine whether there is an effect of the Flipped Classroom Model on the Ability of Mathematical Representation in View of the Curiosity of Learning Mathematics at SMK GKPS 2 Pematangsiantar. The method used in this study is an experimental method using a quasy experimental design in the form of a pretest-posttest control design. The sample consisted of two classes, namely the experimental class which was treated with the Flipped Classroom learning model and the control class which was given the conventional learning model. Data was collected by observation, test and documentation methods. Data analysis used normality test, homogeneity test, and hypothesis testing. The results of testing the hypothesis obtained tcount&gt; ttable or where the thitiung on the test was obtained 2.758&gt; 2.01808 and tcount on the questionnaire (questionnaire) obtained tcount obtained 6.275&gt; 2.01808. This means that H0 is rejected and Ha is accepted. So it shows that there is an influence of the Flipped Classroom Model on the Ability of Mathematical Representation in terms of the Curiosity of Learning Mathematics at SMK GKPS 2 Pematangsiantar.
ESL UNDERGRADUATES READING HABITS AND ATTITUDES TOWARDS ENGLISH LANGUAGE READING

The ability to read and comprehend English text is one of the four core language abilities, hence ESL students need to develop strong reading skills. Reading is quite difficult to learn because many students are still struggling with reading in English. This study seeks to comprehend the reading habits and attitudes of undergraduate English as a Second Language (ESL) students in Malaysia. This research aims to investigate the preferred English reading materials of ESL undergraduate students, the amount of time they spend time reading each day, and their attitudes toward reading English materials. The information for this study was gathered via a survey. This study utilised an adapted version of Smith's (1991) Adult Survey of Reading Attitude (ASRA) and Pandian's (1997) Reading Habit questionnaire. The data was analysed using SPSS statistics and descriptive statistics was used to determine the respondents’ reading attitudes. The questionnaire was sent to 215 undergraduate ESL students currently enrolled in English proficiency courses. The study revealed that (i) ESL undergraduates enjoy reading English materials but still experience anxiety when doing so, and (ii) students enjoy reading as much as they enjoy visiting websites, such as social media sites. The paper will conclude by discussing the implications of the findings for the development of instructional materials within a reading context.
PENERAPAN SERVICE REQUEST MANAGEMENT PADA TATA KELOLA LAYANAN TEKNOLOGI INFORMASI

The purpose of this research is to design and implement a Service Request Management application and to improve the Service Request Management process at PT. Informatics Integration Partner based on Information Technology Service Management. This research is based on the need to manage the organization's information technology infrastructure and arrange the best services for users of information technology services that can provide a good quality foundation and quality assurance by using systematic process approaches and standard procedures for information technology services. This research is qualitative with data collection consisting of secondary data and primary data. Primary data is obtained from observations in the IT department and interviews with the head of the IT division on the Service Request work process and the existing database in the current Service Request Management application which has been processed using the help of Excel and Visio applications. While secondary data can be obtained through the website of PT. Informatics Integration Partners, as well as other additional data and information obtained from books, articles, and other scientific literature related to this research. The results of the research in the form of the proposed Service Request Management application system have several advantages and differences from the current system. Some of the advantages include: (1) Email notification when there is a request and change of request handling status; (2) Company data is safer and more secure because it is stored in a privacy server; (3) By using this system, the handling of a request can be monitored by the company's Top Level Management; (4) This system is easier to use because apart from being accessible through the website, it can also be accessed via mobile android
RANCANGAN SISTEM PEMANTAUAN PROSES BIMBINGAN TUGAS AKHIR BERBASIS WEB PADA ITB SWADHARMA

Final Project is a scientific paper on the research that discusses a problem in a particular field of science by using applicable scientific rules so that students can compose and write according to the field of science in understanding, analyzing, and explaining problems and providing solutions that are under the field of science. Likewise, the Swadharma Institute of Technology and Business requires every student to prepare a final project as one of the graduation requirements in obtaining a bachelor's degree. However, based on the analysis using the PIECES method, there were several obstacles encountered in the preparation of this final project, especially during the guidance process, the lecturer had difficulty monitoring the progress of the student guidance final project, due to incomplete files and miss communication between lecturers and students so that the problems in work on the final task cannot be solved immediately. In addition, the Dean finds it difficult to monitor the guidance process between students and lecturers. So it is necessary to have an application that can facilitate the guidance process and monitor activities in the guidance of students' final assignments