Reviewerly/exHarmony huggingface dataset:
Disparities in Text-to-Image Model Concept Possession Across Languages

We propose the notion of conceptual possession in generative text-to-image (T2I) systems, wherein a model is considered to possess a concept if it can generate a distinctive, correct, and self-consistent population of images for a simple prompt containing that concept. We use this idea to develop a model benchmark of multilingual parity in conceptual possession across a set of almost 200 tangible nouns across 7 languages: English, Spanish, German, Chinese, Japanese, Hebrew, and Indonesian. This technique allows us to estimate how well-suited a model is to a target language as well as identify model-specific weaknesses, spurious correlations, and biases without a-priori assumptions. We demonstrate how it can be used to benchmark T2I models in terms of multilinguality, and that despite its simplicity our method captures the necessary conditions for the impressive “creative” generative abilities users expect from T2I models. Our benchmark will guide future work in reducing disparities across languages, improving accessibility of these technologies.
Analisis Hasil Kebaya Kutubaru Menggunakan Pola ARUM (Studi Kasus LPK ARUM Kota Tegal)

Abstract. Kebaya is a traditional blouse worn by women in Indonesia are made of thin material worn with a sarong, batik, or other traditional knitted garments. For the manufacture of kebaya usually tend to fit the body so that it takes the right archetype. Making the basic pattern is the first step of making clothes especially kebaya. Because the basic pattern will provide a solid foundation in the manufacture of clothing that will greatly affect the outcome of the manufacture of clothing primarily in keseluruhan. ARUM patterns differ with some existing construction pattern, wherein the pattern ARUM system using the steps to create fewer and easier understood. Other than that, Objects in this study is used in the learning Arum in LKP ARUM Tegal city and will be made kebaya kutubaru later in the analysis quality. The population used in this study are students of Education Studies Program dressmaking class of 2017 consists of two class groups (group learning) and has passed the Course Management Women's Clothing with a total of 25 students and 24 students, a total of 49 students. The sampling technique chosen in this study is Probability Sampling. Aiken's V calculation analysis on the instrument gained an average result of 0.86, then the validity of the instrument categorized as very useful.Quality test results from the above table can be seen that the overall results of the research by expert panelists and panelists trained as compared to the percentage of the class interval tables to test the quality kebaya kutubaru Arum pattern generated using criteria Very High. So the quality kebaya Arum declared kutubaru use patterns of quality. The sequence is based on indicators, namely (1) display of kebaya kutubaru 63%, (2) the balance of 10.54% kutubaru kebaya, (3) overall kutubaru kebaya 14.02%. The results of the assessment of all the panelists of the overall quality levels obtained by percentage of 87.57%.
Pembangunan dan Implementasi Sistem Informasi Pendaftaran dan Absensi Online Magang Berbasis Website pada BPTU HPT Padang Mengatas

Balai Pembibitan Ternak Unggul Hijauan Pakan Ternak (BPTU HPT) in Padang Mengatas is the only Livestock Breeding Center in Indonesia that specializes in producing breeding stock of Simental and Limousin beef cattle. While BPTU HPT Padang Mengatas focuses on livestock farming, they also recognize the need for technology and programs to streamline their work and keep up with the evolving times. Currently, various activities such as internship registration, cattle sales, visit requests, guest registration, and community satisfaction indexing are still carried out manually, resulting in significant time consumption for both data entry and report compilation. Specifically, in the internship process, BPTU HPT Padang Mengatas requires the implementation of an internship attendance information system for interns. This system enables evaluation of the interns based on their performance and presence during the internship period. The introduction of this information system is expected to assist the employees of BPTU HPT Padang Mengatas, enabling internship supervisors to expedite the data collection process. Additionally, it is anticipated that this application will facilitate BPTU HPT Padang Mengatas in monitoring and controlling its activities.
Text information hiding and recovery via wavelet digital watermarking method

Abstract According to the wavelet digital watermarking method, wavelet text hiding algorithm is presented for hiding some text information in a signal with white noises and the corresponding recovery algorithm is also presented for obtaining text information from a synthesized signal. Firstly, wavelet text hiding algorithm is introduced and an example is given for demonstrating how to hide text information in a signal s with a white noise ε , where s = f ( x ) + ε and f ( x ) is a function such as sin x , cos x and so on. A synthesized signal $$\tilde{s}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mi>s</mml:mi> <mml:mo>~</mml:mo> </mml:mover> </mml:math> can be obtained by wavelet text hiding algorithm. Then, the corresponding text recovery approach is also introduced and the text information is recovered from the synthesized signal $$\tilde{s}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mi>s</mml:mi> <mml:mo>~</mml:mo> </mml:mover> </mml:math> by an example. Some figures of the example are shown that the wavelet text hiding algorithm and its recovery are feasible. Moreover, the roles of wavelet function, noise, embedding mode and embedding position are analyzed in the text information hiding and recovering, and it implicates its security. 1000 groups of English texts with different lengths are chosen for illustrating computational complexity and running time of the algorithms. The social application of this approach is explained by a system architecture figure. Finally, some future directions are discussed for our follow-up study.
Writing Better Research Articles for Publication

Background: Many research articles have been rejected by journals although authors provide the original subjects or ideas. Scholars and experts comment that the research papers are not well-written, but they do not provide the concrete guidelines for writing good research papers. Objective: This article aims to provide generic structure, practical guidelines and advice for writing each section of a research paper. Methods: The study used descriptive qualitative method and observation and notetaking tools to collect the data/information. Key terms/phrases like ‘how to write research articles’, ‘structuring research papers’ were used to collect the materials. The author observed the structure of research articles and synthesized some review articles about writing each section of a research paper; then the generic guidelines and practical advice were prepared for writing a research article. Findings: The IMRaD structure (introduction, methods, result and discussion) in a research paper has high impact. The introduction briefly informs what the research was done why and how. Method section explains in detail what method was utilized why and how. Results presents what the data found without explanation. Discussion section carries the meanings of the results concerning with present contexts and previous research. Conclusion and limitation sections are prepared with the supports of the results. For other sections of an article, the author guidelines should be followed. Conclusion: Author guidelines, generic structure of a research article, practical guidelines and advice prevent the most common errors and help the author produce a good research article for publishing. This article gives teachers, students, authors, editors, peer-reviewers and readers a helping hand in writing/reading a research paper.
Feature pyramid-based convolutional neural network image inpainting

Abstract With the widespread adoption of deep learning-based methods in image processing, they have achieved remarkable results in the challenging task of filling large missing images. However, these methods often produce blurred filling when processing irregularly broken images. The main reason for this phenomenon is that the semantic information of feature maps at different scales cannot effectively complement each other and the underlying information is underutilized. Therefore, we propose a feature pyramid-based network structure. In the first stage, we set the expansion factor to avoid the grid effect during the convolution process and maximize the utilization of the underlying feature map information while increasing the perceptual field. The second stage of the network includes a convolution branch and a feature fusion branch, both of which are parallel structures. The feature fusion branch first samples the feature maps to construct the feature pyramid, and then fuses the feature maps with different resolutions and semantic strengths. Finally, the feature maps are deconvoluted by a decoder to generate images. Our experimental results show that this method produces coherent, clear, visually reasonable recovery areas and excels over other methods in terms of image quality.
Design of Syari'ah Resort in Barus, North Sumatera With a Religious Architecture Approach

Islamic architecture is a form of structural art that takes inspiration from the Qur'an, the Sunnah of the Prophet, the Prophet's Family, Companions, Scholars, and Muslim scholars, as well as the physical and metaphysical features of buildings. The concept of Islamic Architecture can maintain harmony between nature and local culture, and sustainable designs must be used, protecting the environment from the planning stage onwards. Barus, which is the entrance to the Islamic Archipelago Civilization, has the potential to be developed into a favorite destination for pilgrims. The beautiful environment around Barus is an added value for this area because the beaches are still beautiful, and the people still adhere to their local wisdom. The object of study is to explore and implement religious-oriented design for resort hotel. The method we use is qualitative explorative research by reviewing some relevant-theory and synthesizing concept. The study formed the design statement: Barus as the "Zero Point of the Spread of Archipelago Islamic Civilization," which will attract domestic and international visitors, boost the local economy, and provide jobs for the local community. It is necessary to include a bit of Mandailing Batak culture as the majority ethnic group in Barus. The main objective of this sharia resort design is to create sharia-oriented atmosphere through the use of religious architecture and upholding positive human relations. Mosques, galleries, viewing towers, separate swimming pools for men and women, and other facilities are available at this resort, which will make visitors' vacations keep connecting to from Islamic concepts.
A Dynamic Tourism Recommendation System

In recent decades, the proliferation of the Internet, new technologies, and other forms of communication—especially online travel agencies (OTA)—have led to an increase in the quantity and quality of information available to tourists (lodgings, restaurants, transportation, legacy, vacationer events, exercises, and so on). The generation of information on bequests, tourist activities, and physical activities is included. Web crawlers (or even destination-specific information) may provide visitors with a plethora of options, but this “commotion” of useful information might make it difficult to narrow down the best course of action. There are a number of recommender systems available to help vacationers find relevant information and organize their itineraries. This article will provide you with an overview of the many travel proposal strategies currently in use. On the basis of this review's findings, an engineering and theoretical framework for a recommender system for the tourism sector is presented. This structure was designed using the half-and-half method of suggestion. The suggested framework goes further than merely recommending vacation places that cater to certain interests. It's analogous to hiring a tour guide who, utilizing a wide range of resources available to the tourism sector, creates a customized schedule for a certain length of time during a trip. The research team's ultimate goal is to construct a recommendation system that takes use of recent breakthroughs in areas such as big data, artificial knowledge, and practical assessment.
A Neutrosophic Cognitive Maps Approach for Pestle Analysis in Food Industry

Food industry is the most significant industry as everyone has to eat food to live. In food industry, the pestle analysis can be used to assess the environment of the business by considering political, economic, social, technological, legal and environmental factors. This paper applies a new technique on pest analysis based on fuzzy logic and neutrosophic logic. Fuzzy logic is the subset of neutrosophic logic (NL), can be pondered as a dominant tool to include the inconsistent information in real world. It will provide the t (degree of truth), I (degree of indeterminacy) and f (degree of falsity) for all instances. Since the world is full of indeterminacy, NL characterize each logical statement in 3D neutrosophic space. This paper applies the techniques of fuzzy cognitive maps (FCM) and neutrosophic cognitive maps (NCM) to make a cause-effect relationship between various factors. Components of neutrosophic logic: Neutrosophic cognitive maps, neutrosophic sets, neutrosophic rough soft sets, neutrosophic probability, neutrosophic ontology, etc., share a collaborative relationship rather than a competitive one. These techniques have been applied in various domains like medical, engineering applications, military, education, banking, business, decision making, image processing, etc. This paper is an attempt to produce the utility of NL, and a comparison is made between fuzzy cognitive maps (FCM) and neutrosophic cognitive maps (NCM).
DINAMIKA EMOSI REMAJA KETERGANTUNGAN GAME ONLINE

Online game addiction is a type of addiction resulting from high activity in playing online games which can be accessed via smartphones and supported by internet technology. This research is a study using qualitative methods that aims to describe the emotions of adolescents who are addicted to online games. Participants in this study were determined based on the screening results of the Game Addict Screening Score scale to measure the level of addiction to playing online games and obtained 2 research participants with the initials NU (17 years) and AN (22 years). The results showed that the two study participants were included in the online game addiction criteria and had several negative emotional aspects that were located in the cognitive minds of both of them. The two study participants The two study participants had almost the same emotional picture, namely they tended to express their emotions more with negative words . This affects the emotional state of the two research participants in everyday life, where the two research participants have different emotional controls in solving a problem. Based on the results of research on the two research participants, the level of emotion experienced increases when neither of them gets satisfaction in getting what they want. Furthermore, another impact of online game addiction on emotions does not only affect playing games but also affects social life. Keywords: Adolescence, Emotions, Addictions, Online Games
Upaya Meningkatkan Pemahaman Konsep Materi dalam Muatan Bahasa Indonesia Menggunakan Video Interaktif di Kelas II SDN 64/ 1 Muara Bulian

Indonesian language learning should involve the active role of students directly, so that students will interact using the media that has been presented by the teacher. Observations made in the field found a problem, namely students lack of focus and lack of understanding of the concept of material in Indonesian language content. The purpose of writing this journal is to analyze related efforts to improve understanding of material concepts in Indonesian content by using interactive videos in class II SDN 64/1 Muara Bulian. The type of research used is PTK (Classroom Action Research). This research was conducted at SD Negeri 34/I Teratai, in class II to be precise. The results obtained are that students are still confused when using interactive videos, and are more comfortable when the teaching process is carried out using traditional methods, namely by using a blackboard that is devoted to providing subject matter related to how to write cursive in stories by paying attention to the use of capital letters. The conclusion is that the use of interactive videos in increasing students' understanding of concepts in Indonesian language subjects with non-continuous writing material in stories with attention to the use of capital letters is effective at the elementary school level.
Evaluating Antecedents of Online Customer Retention

This study analyses and examines the impact of performance expectancy on online customer retention with the mediating role of customer satisfaction and experience. In this economic era, the mainstream trend is additionally making progress towards the organization by keeping up its positions. Consequently, it becomes necessary for organizations to give their first preferences to customers' tastes for the profitability of their organization. The study aims to unleash future research directions and recommendations to overcome the under-study problem. The target population of this study includes customers who shop online. The sample included 308 respondents who have experience in online purchasing. Sample selection was supported through non-probability sampling. Moreover, inferential statistics, i.e., correlation and regression analysis, were used to test the significance of the hypothesis statements. The findings of this research indicate that online customer retention has a significant positive relationship with the mediating role of experience and customer satisfaction. Furthermore, it will improve business, increase customer flow, and positively impact the company's profitability.
IMPLEMENTASI ASSOCIATION RULES MENENTUKAN POLA PEMILIHAN MENU DI THE GADE COFFEE &amp; GOLD MENGGUNAKAN ALGORITMA APRIORI

ABSTRACT&#x0D; The Gade Coffee &amp; Gold produces a lot of sales transaction data every day that is stored in the database, but this data has not been maximized in conducting analysis to produce new knowledge, based on this problem it is necessary to carry out an analysis using a data mining approach and applying association techniques. Data mining is able to analyze data into information by applying association techniques to find several purchasing patterns that are useful to assist companies in the process of making business decisions such as determining product cross-selling, determining promotional programs, and so on. This study aims to determine the pattern of combinations of food and drinks ordered by customers by applying the Apriori method based on sales transaction data for the month of September 2022. The results show that there are 16 association rules with the highest support value which is 6.8% with a confidence value of 85 .7% and the Lift value is 111%, with the rule formed that if a customer buys an Almond Croisant product, there is a chance that the customer will also buy Van Lenning – Iced products.&#x0D; Keywords: Data Mining, KDD, Association, Apriori&#x0D; &#x0D; ABSTRAK&#x0D; The Gade Coffee &amp; Gold setiap harinya menghasilkan banyak data transaksi penjualan yang tersimpan dalam basis data, namun data tersebut belum dimaksimalkan dalam melakukan analisa untuk dapat menghasilkan suatu pengetahuan baru, berdasarkan masalah tersebut perlu dilakukan sebuah analisa dengan menggunakan pendekatan data mining serta menerapkan teknik asosiasi. Data mining mampu menganalisa data menjadi sebuah informasi dengan menerapkan teknik asosiasi dapat menemukan beberapa pola pembelian yang berguna untuk membantu perusahaan dalam proses pengambilan keputusan bisnis seperti menentukan cross-selling produk, menentukan program promosi, dan sebagainya. Penelitian ini bertujuan untuk menentukan pola kombinasi dari makanan dan minuman yang dipesan oleh pelanggan dengan menerapkan metode Apriori berdasarkan data transaksi penjualan periode bulan September 2022. Hasil penelitian menunjukkan sebanyak 16 aturan asosiasi dengan nilai support tertinggi adalah 6,8% dengan nilai confidence sebesar 85,7% dan nilai Lift 111%, dengan aturan yang terbentuk yaitu apabila pelanggan membeli produk Almond Croisant peluang pelanggan juga membeli produk Van Lenning – Iced.&#x0D; Kata Kunci: Data Mining, KDD, Asosiasi, Apriori
File Security Design in Electronic Health Record (EHR) System with Triple DES Algorithm (3DES) at Jember Family Health Home Clinic

Electronic Health Record (EHR) is an electronic version of a patient's medical history maintained by a health care service from time to time. The hacking of medical record data by irresponsible parties is a security threat to the EHR system, including the EHR system belonging to the Jember Family Health Home Clinic which is not equipped with a file security system. This research was conducted by designing file security on the EHR system with the Triple DES (3DES) algorithm using UML (Unified Modeling Language) diagrams. The Triple DES (3DES) algorithm was chosen because it is considered secure in securing files. The results of this study are the design of adding file security with 3DES to the EHR system to help maintain the confidentiality of vital medical record data. Further research can be done by building a file security system using 3DES according to the design that has been made.
CYBER SECURITY AWARENESS AMONG UGANDAN UNIVERSITY LECTURERS: CHALLENGING FACTORS INFLUENCING CHANGE

The present paper focuses on Cyber Security Awareness Campaigns, and aims to identify key factors regarding security which may lead them to failing to appropriately change people’s behaviors. Past and current efforts to improve informationsecurity practices and promote a sustainable society have not had the desired impact. It is important therefore to critically reflect on the challenges involved in improving information-security behaviours for citizens, consumers and employees. In particular, our work considers these challenges from a Psychology perspective, as we believe that understanding how people perceive risksis critical to creating effective awareness campaigns. Changing behavior requires more than providing information about risks and reactive behaviours – firstly, people must be able to understand and apply the advice, and secondly, they must be motivated and willing to do so – and the latter requires changes to attitudes and intentions. These antecedents of behaviour change are identified in several psychological models of behaviour. We review the suitability of persuasion techniques, including the widely used ‘fear appeals. From this range of literature, we extract essential components for an awareness campaign as well as factors which can lead to a campaign’s success or failure. Finally, we present examples of existing awareness campaigns in different cultures (the UK and Africa) and reflect on these.