Reviewerly/exHarmony huggingface dataset:
SOCIAL MEDIA ADVERTISING ASSISTANCE WITH PERSUASION CONCEPT – ELABORATION LIKELIHOOD MODEL (ELM) FOR SMES IN SURABAYA

Background: Along with the development of digital media tools, the direction of marketing shifts from conventional to social media-oriented. However, this is not easily conducted by SME business circles. Many of them do not have high literacy, do not have IT coding skills. In addition, capitalizing as well as maintaining a website are costly for them. This fact encourages the SMEs to look at another opportunity, namely the use of social media. However, it proves that these SMEs have not utilized the use of social media with persuasive advertisements. Objective: This community service activity purposes to assist the SMEs in Surabaya creating their social media advertisements using the persuasion concept-elaboration likelihood model (ELM) to solve the problems in marketing. Methods: The methods used are (1) discussion; (2) training and assisting in making advertisements; (4) evaluating/monitoring. As a result of this community service activity, the SMEs that have been assisted are able to create persuasive social media advertisements and can improve their marketing performance. Results: These MSME owners are able to create advertisements using the ELM method and determine the performance of these advertisements. Conclusion: SME owners can create advertisements using the ELM method during the training period, conduct independent evaluations of advertisements, the sales performance of these SMEs tends to increase compared to the previous by creating advertisements using the ELM method, practical modules are provided so that making advertisements using same method can be practiced for current and future needs.
Digital Cloud Storage: The Best Cloud Drive Analysis for Digital Business Purposes

The economy has been transforming throughout the years, and internet development has brought something new into the business world. With the rapid grown of technology, the economy and technology are inseparable. E-commerce was an example of an economy and technology. A huge data stream needed to be stored, and make physical storage now is outdated. Cloud storage was the option for storing and securing the company data. It has many benefits for the company for using cloud storage. The research methods in this paper was a literature research journal review. By comparing various cloud storage, it was found that mega cloud storage was a suitable option for many businesses from our related journal and other literature. Mega was encrypted and can store many data stream safely that the company needed.
Central Bank of Nigeria’s Bank Verification Number Policy and its Effect on Deposit Money Banks’ Customers; Empirical Evidence from Nigeria

The need to protect customers' data and ensure confidence in the banking system has resulted in the initiation of diverse efforts to improve the security system of commercial banks.The security threat associated with the conventional security system of password and personal identification numbers led to Bank Verification Numbers (BVN) by commercial banks in Nigeria.This study thus investigated the effect of BVNs on the protection of customers of commercial banks in Nigeria.A self-administered questionnaire was collected from 150 respondents based on a purposive random sampling technique.The data collected were analyzed using the descriptive statistic technique of simple percentage, frequency, and chi-square.It was found that BVN was significant and effective in protecting commercial banks customer through the protection of transaction, bank account and boosting customers' confidence in the banking system.It was further established that BVN through their biometric security and the anti-fraud system help prevent fraud, impersonation, and security breaches on customers' accounts.This study implies that a BVN is an efficient tool in protecting customers' data in the banking system.BVN mechanisms put in place to ensure the protection of consumers is effective in strengthening banks' security systems and protecting customers' information and funds.This study's novelty lies in investigating BVNs on the protection of commercial banks customers.Studies have not been conducted in the subject area because BVN is a recent innovation in the Nigerian banking sector.
Towards a Black-Box Security Evaluation Framework

Injection of faults has been studied in various research works since last decades. Several hardware targets have been studied with respect to the efficiency of fault injections. In this paper we address the security evaluation of embedded systems in constrained environments called black-box analyses. This is not considered by standards of evaluation as they require conducting the analysis in the most relaxed conditions, often called white-box analysis which focuses on specific security modules provided that the finer details are available. However, black-box analysis has a much larger view by focusing on all the system as potential target. It is closer to a real world attacker. This allows measuring the impact of real attack scenarios, and therefore thinking and building the most adequate protections. We put forward a six steps evaluation methodology along with a practical use-case on a real end-user device. This shall give a better understanding and also an evaluation framework of black-box analysis.
Socio-demographic variables and crime reporting attitude in Nigeria

The complexity involved in combating crime in different regions of the world makes information sharing fundamental in crime management. Unfortunately, crime victims, who should be in the frontline of providing this information to law enforcement agents are often lethargic and lackadaisical in doing so, owing to no fault of theirs. Thus, this paper explored the convergence between socio-demographic variables and crime reporting in Nigeria. Empirically, the study examined the relationship between the attitude of law enforcement agents, location of the crime, nature of the crime, and attitude to crime reporting. Mixed methods, including a cross-sectional survey and in-depth interview, was used to collect data from 1112 respondents through a multi-stage sampling technique. The quantitative data were analysed using simple linear regression; while, the qualitative data collected were analysed in themes as a complement to the quantitative data. Findings revealed that attitudes of law enforcement agents, crime location and nature of crime significantly affect attitude to crime reporting in the study area. The study concludes that there is a connection between selected socio-demographic variables such as attitudes of law enforcement agents, crime location, nature of crime and attitude to crime reporting. It was, therefore, recommended that law enforcement officers who fail to abide by the ethics of their profession and the standard procedure governing their interaction with both complainants and suspects should be severely sanctioned. Besides, law enforcement officers should be trained and re-trained in such areas as public relations and professional ethics guiding their operations
Linguistics Forensic of Hate Speech in Ahmad Dhani Social Media

The purpose of this research was to observe hate speech in Ahmad Dhani Social Media and identify the type of hate speech such as race and religion. This research used lexical semantic (verbal communication includes sounds, words, language, speech) in visual media. The method used in this study was qualitatitive research by describing the data. The collecting data was found from social media and Putusan Mahkamah Agung Republik Indonesia. The result of this research found that there was verbal communication which written in Ahmad Dhani Social Media and race and religion was type of hate speech which written in Ahmad Dhani social media. The conclusion of this research was found that there was hate speech in Ahmad Dhani social media.
A Semi-Supervised Approach to Detect Toxic Comments

Toxic comments contain forms of nonacceptable language targeted towards groups or individuals.These types of comments become a serious concern for government organizations, online communities, and social media platforms.Although there are some approaches to handle non-acceptable language, most of them focus on supervised learning and the English language.In this paper, we deal with toxic comment detection as a semi-supervised strategy over a heterogeneous graph.We evaluate the approach on a toxic dataset of the Portuguese language, outperforming several graph-based methods and achieving competitive results compared to transformer architectures.
Coauthorship Network Mining for Scholar Communication and Collaboration Path Recommendation

With the increasing penetration of interdisciplinary subjects, it is more difficult for researchers to complete a paper individually, showing that the division of labor can improve the level and efficiency of scientific research. Thus, collaboration among multiple scholars has become a trend in academic research. However, because the numbers of scholars and papers are increasing and cooperation between scholars has become more frequent in recent years, it is an increasingly challenging task to discover useful knowledge resources for researchers. Against the background of big data, how to help scholars quickly find interested target collaborators, encourage them to participate more actively in academic communication, and create high-quality achievements in scientific research has become a significant problem. Considering this challenge, this article proposes a framework of coauthorship strength, author contribution, and search (CCS，taking the first letter of the keyword), which is based on the coauthorship feature of Google Academics. In CSS, we combined the search algorithm to select the optimal connection path to help scholars find interested target scholars efficiently and to better solve practical application problems. Finally, our proposal is evaluated by a set of experiments based on a real-world dataset. Experimental results of our approach show better search outcomes compared to other competitive approaches.
Personalized Extractive Summarization Using an Ising Machine Towards Real-time Generation of Efficient and Coherent Dialogue Scenarios

We propose a personalized dialogue scenario generation system which transmits efficient and coherent information with a real-time extractive summarization method optimized by an Ising machine.The summarization problem is formulated as a quadratic unconstraint binary optimization (QUBO) problem, which extracts sentences that maximize the sum of the degree of user's interest in the sentences of documents with the discourse structure of each document and the total utterance time as constraints.To evaluate the proposed method, we constructed a news article corpus with annotations of the discourse structure, users' profiles, and interests in sentences and topics.The experimental results confirmed that a Digital Annealer, which is a simulated annealing-based Ising machine, can solve our QUBO model in a practical time without violating the constraints using this dataset.
Teacher's Questioning Strategies during the Classroom Interaction at Islamic Senior High School

There were several students’ problems that the writer found at Private Islamic Senior High Schools (MAS) including in MAS AsySyarif Koto Laweh Tilatang Kamang. First, some students are often silent in English class. Second, some students find it difficult to understand the learning material. The last the teacher ignores the differences in students' abilities. This research aims to determine the type of questioning strategy and how to apply the questioning strategy in classroom interaction. This research is qualitative descriptive. The informant of this research was an English teacher at MAS AsySyarif Koto LawehTilatangKamang. The data were obtained through observation and interviews. This research found 6 types of Questioning Strategies used by the teacher, there were Knowledge questions, Comprehension questions, Application questions, Analysis questions, Synthesis questions, Evaluation questions. And found 3 to apply questioning strategy there were, questioning at the beginning, Questioning at the middle of the class, and Questioning at the end.
Implementation of Fuzzy Inference Mamdani System Based on Graphic User Interface for the timing of planting rice on rice plants in traditional farming systems in South Aceh district

The agricultural sector plays an important role in a developing country that covers all economic life because it can become the main source of national income. Efforts that must be avoided are to avoid crop failure, one of the things that cause crop failure is that there is no match with the right planting period at the time of planting. So the purpose of this research is to build a decision-making system in the form of a system for determining planting time based on the traditional Aceh farming system. The process developed with information technology in the decision-making method using Mamdani fuzzy logic based on the Graphic User Interface by involving several criteria including the calculation of the month in the Hijri year, the calculation of days, the calculation of the time of planting, and the level of rainfall. So that when starting the process of planting rice traditionally, farmers with this system can choose the best time to grow crops in rice farming. This study used 40 samples as test data obtained from several villages in South Aceh Regency. The results of the study after testing, several classifications become decisions where the results that show very right are 2 respondents or 5%, exactly 16 respondents or 40%, less precise as many as 10 people or 25% and inaccurate as many as 12 people or 30%. This study used 40 samples as test data obtained from several villages in South Aceh Regency. The results of the study after testing, several classifications become decisions where the results that show very right are 2 respondents or 5%, exactly 16 respondents or 40%, less precise as many as 10 people or 25% and inaccurate as many as 12 people or 30%. This study used 40 samples as test data obtained from several villages in South Aceh Regency. The results of the study after testing, several classifications become decisions where the results that show very right are 2 respondents or 5%, exactly 16 respondents or 40%, less precise as many as 10 people or 25% and inaccurate as many as 12 people or 30%.
Data-Efficient Language Shaped Few-shot Image Classification

Many existing works have demonstrated that language is a helpful guider for image understanding by neural networks.We focus on a language-shaped learning problem in a fewshot setting, i.e., using language to improve few-shot image classification when language descriptions are only available during training.We propose a data-efficient method that can make the best usage of the few-shot images and the language available only in training.Experimental results on dataset ShapeWorld and Birds show that our method outperforms other state-of-the-art baselines in language-shaped few-shot learning area, especially when training data is more severely limited.Therefore, we call our approach data-efficient languageshaped learning (DF-LSL).
One Avatar, Two Level of Detail, One Result? - Analyzing the Effect of Low and High Detailed Avatars on Fitting Simulations

3D garment simulation is in the market for many years.In the beginning, most users found it hard to transfer their traditional analogue processes into the digital world [1].Yet, the technical enhancements of the simulation software fastened the readiness of the companies to implement systems in their product development cycle.Through the use of 3D garment simulation systems, resources can be saved and development times shortened [2][3][4].In addition, garment simulation can already be used to check the fit in a digital environment.By being able to check design and fit early in the process, more time can be invested in their development.A complete simulation is important for a quality fit.In addition to the pattern, this also includes the material parameters and a digital fitting tape.For reliable fitting tests an avatar has to fulfil various requirements.This also includes the level of detail (LOD) of the avatar to perform valid quality assessments.It is assumed that the LOD has a major impact on fitting results [4] Yet, creating high level avatars require time and comprehensive knowledge of 3D workflows.
Application of Word Folding Board Media for Improvement of Word Vocabulary Students with Intellectual Disabilities

The purpose of this study was to examine the level of effectiveness of using word folding board media to increase intellectual disability students’ vocabulary mastery. The subjects of this research were 4 intellectual disability students. The research method used was a classroom action-type method with a participatory collaborative type, with a demonstration learning method carried out in 2 cycles. The data used in this study was field studies through observation and learning outcomes tests. The results of data analysis showed that there is an increase in the vocabulary of intellectual disability students as much as 30-40% which is seen from the comparison of the initial test to the final test for 2 cycles, which is also indicated by an increase in the value of Indonesian lessons, with the grades 78,80,75,81. It was above the Minimum Completeness Criteria value of 70. This letter folding board media is a fairly new and interesting medium, with elements of guessing games that are still attached to the elements of playing and interesting pictures. This media encourages students to try using this media to increase vocabulary in Indonesian language lessons. This study demonstrates that the use of interesting and easy-to-use media will accelerate understanding and increase vocabulary in students, especially intellectual disability students. In addition, it also challenges teachers to improve their media modification skills so that it is easier to guide their students.
The geochemical features and oxygen isotope composition of eclogite and clinopyroxenite xenoliths from kimberlite pipes of Siberian craton

Eclogites and clinopyroxenite mantle xenoliths from kimberlites are characterized by a similar two-mineral composition (garnet and clinopyroxene), but differ in mineralogical and petrographic features [1-4 and other].The geochemical properties of eclogite xenoliths from kimberlite pipes suggest two main points of view for genesis: implication of subduction processes or cumulates of high-pressure melting in lithosphere mantle [2][3].The mantle xenoliths from three Yakutian kimberlite pipes were studied (upper-Jurassic Obnajennaya pipe, Paleozoic Udachnaya and Mir pipes).Eclogites and clinopyroxenites occupy about 10-15% population among xenoliths.Garnet in the eclogites differs from that in the clinopyroxenites by a higher content of CaO and FeO (Prp 55-62 Alm 22-30 Grs 8-18 in clinopyroxenites and Prp 40-45 Alm 13-29 Grs 15-30 in eclogites).Clinopyroxenes are distinguished by reduced magnesia content (Mg# 91-84), as well as low calcium content (16-18 wt.%).The high contents of jadeite components in the clinopyroxene (NaAl[Si 2 O 6 ] -25-32%) classify this group of rocks as eclogites.The high δ 18 O varies in eclogite Cpx (more than 6.0, mantle values 5.3 ± 0.3 [5]), positive Eu anomaly, a relatively high content of Al 2 O 3 (14-20 wt.%) and a low MgO content (10-15 wt%), depletion LREE are assumed that the formation of the protolith of the xenolith group occurred as melts in the subduction zone.However, the presence of garnet clinopyroxenites with narrow variations in mineral composition and relatively low δ 18 O (5.5-5.8)suggest melting processes in the lithospheric mantle and the formation of megacrystalline pyroxene cumulates.
Construction Project Planning and Scheduling: A Case of Inlet Separator Fabrication

Project construction activities must be analyzed from the planning stage to the execution stage so that they can be achieved optimally and achieve the best performance point. Project planning relies on a project scheduling system, of course requiring updates and modifications that show the project conditions in real time. The aims of this paper is propose a project scheduling system that can accommodate projects that have large-scale activities by proposing scheduling and risk analysis using Primavera P6 and Primavera risk analysis. A case study was conducted on the construction of an inlet separator fabrication project in Batam, Indonesia. The proposed method aims to calculate the optimal project completion time through automatic scheduling with primavera software. The method demonstrates practical value for project managers in identifying the shortest project duration and estimating the most optimal time duration for carrying out activities. In addition, using automatic scheduling can provide more complex information including successors and predecessors of activities, critical times, estimates of the overall duration of the project.
Pengembangan Modul Mengonversi Teks Cerita Rakyat Menjadi Teks Fantasi untuk Siswa

Teaching material is the most important part in the world of education. Because of thist research aims to develop teaching materials that can be used as a source of learning in schools. Teaching material developed in the form of modules converts folklore texts into fantasy texts. This module is used as a companion for teachers in delivering fantasy text and folklore material. The module that was developed has been through the validation test and effectiveness test. Based on the results of the validation test on the feasibility of graphics, the feasibility of the material, the feasibility of the language, and the feasibility of the overall presentation can be implemented. While the effectiveness test results show there is a significant increase in student learning outcomes.
Transliteration: A Magnetic Analysis

Abstract: Machine transliteration is an important problem in an increasingly multilingual world as it plays a critical role in many downstream applications such as machine translation or cross-lingual information retrieval systems. There is now a vast amount of information accessible via the Internet where a lot of regional and cultural information is put on the World Wide Web in different languages and scripts. There are more that six thousand living languages in the world. Adding to the diversity is the fact that some languages are written in different scripts in different regions of the world. The multitude of foreign languages and mutually incomprehensible scripts of the same language pose a barrier to information exchange as we cannot all learn every language or script in use worldwide. Therefore, if we can get around the language barrier or at least the script barrier, we can access much more of the world's culture and can explore its abundant richness. Keywords: Transliteration, Translation. Cross-lingual, Multilingual, Language, Script